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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma</title><author><name sortKey="Cerhan, James R" sort="Cerhan, James R" uniqKey="Cerhan J" first="James R" last="Cerhan">James R. Cerhan</name><affiliation><nlm:aff id="A1">Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Berndt, Sonja I" sort="Berndt, Sonja I" uniqKey="Berndt S" first="Sonja I" last="Berndt">Sonja I. Berndt</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Vijai, Joseph" sort="Vijai, Joseph" uniqKey="Vijai J" first="Joseph" last="Vijai">Joseph Vijai</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Ghesquieres, Herve" sort="Ghesquieres, Herve" uniqKey="Ghesquieres H" first="Hervé" last="Ghesquières">Hervé Ghesquières</name><affiliation><nlm:aff id="A4">Department of Hematology, Centre Léon Bérard, Lyon, France</nlm:aff></affiliation><affiliation><nlm:aff id="A5">Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex, France</nlm:aff></affiliation></author><author><name sortKey="Mckay, James" sort="Mckay, James" uniqKey="Mckay J" first="James" last="Mckay">James Mckay</name><affiliation><nlm:aff id="A6">Genetic Cancer Susceptibility Group, Section of Genetics, International Agency for Research on Cancer, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Wang, Sophia S" sort="Wang, Sophia S" uniqKey="Wang S" first="Sophia S" last="Wang">Sophia S. Wang</name><affiliation><nlm:aff id="A7">Department of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, California, USA</nlm:aff></affiliation></author><author><name sortKey="Wang, Zhaoming" sort="Wang, Zhaoming" uniqKey="Wang Z" first="Zhaoming" last="Wang">Zhaoming Wang</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Yeager, Meredith" sort="Yeager, Meredith" uniqKey="Yeager M" first="Meredith" last="Yeager">Meredith Yeager</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Conde, Lucia" sort="Conde, Lucia" uniqKey="Conde L" first="Lucia" last="Conde">Lucia Conde</name><affiliation><nlm:aff id="A9">Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="De Bakker, Paul I W" sort="De Bakker, Paul I W" uniqKey="De Bakker P" first="Paul I W" last="De Bakker">Paul I W. De Bakker</name><affiliation><nlm:aff id="A11">Department of Medical Genetics and of Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands</nlm:aff></affiliation><affiliation><nlm:aff id="A12">Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands</nlm:aff></affiliation></author><author><name sortKey="Nieters, Alexandra" sort="Nieters, Alexandra" uniqKey="Nieters A" first="Alexandra" last="Nieters">Alexandra Nieters</name><affiliation><nlm:aff id="A13">Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg, Germany</nlm:aff></affiliation></author><author><name sortKey="Cox, David" sort="Cox, David" uniqKey="Cox D" first="David" last="Cox">David Cox</name><affiliation><nlm:aff id="A14">Léon-Bérard Cancer Center, Cancer Research Center of Lyon, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Burdett, Laurie" sort="Burdett, Laurie" uniqKey="Burdett L" first="Laurie" last="Burdett">Laurie Burdett</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Monnereau, Alain" sort="Monnereau, Alain" uniqKey="Monnereau A" first="Alain" last="Monnereau">Alain Monnereau</name><affiliation><nlm:aff id="A15">Environmental Epidemiology of Cancer Group, Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif, France</nlm:aff></affiliation><affiliation><nlm:aff id="A16">UMRS 1018, Univ Paris Sud, Villejuif, France</nlm:aff></affiliation><affiliation><nlm:aff id="A17">Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux Cedex, France</nlm:aff></affiliation></author><author><name sortKey="Flowers, Christopher R" sort="Flowers, Christopher R" uniqKey="Flowers C" first="Christopher R" last="Flowers">Christopher R. Flowers</name><affiliation><nlm:aff id="A18">Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA</nlm:aff></affiliation></author><author><name sortKey="De Roos, Anneclaire J" sort="De Roos, Anneclaire J" uniqKey="De Roos A" first="Anneclaire J" last="De Roos">Anneclaire J. De Roos</name><affiliation><nlm:aff id="A19">Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A20">Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA</nlm:aff></affiliation></author><author><name sortKey="Brooks Wilson, Angela R" sort="Brooks Wilson, Angela R" uniqKey="Brooks Wilson A" first="Angela R" last="Brooks-Wilson">Angela R. Brooks-Wilson</name><affiliation><nlm:aff id="A21">Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A22">Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada</nlm:aff></affiliation></author><author><name sortKey="Lan, Qing" sort="Lan, Qing" uniqKey="Lan Q" first="Qing" last="Lan">Qing Lan</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Severi, Gianluca" sort="Severi, Gianluca" uniqKey="Severi G" first="Gianluca" last="Severi">Gianluca Severi</name><affiliation><nlm:aff id="A23">Human Genetics Foundation, Turin, Italy</nlm:aff></affiliation><affiliation><nlm:aff id="A24">Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia</nlm:aff></affiliation><affiliation><nlm:aff id="A25">Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Melbye, Mads" sort="Melbye, Mads" uniqKey="Melbye M" first="Mads" last="Melbye">Mads Melbye</name><affiliation><nlm:aff id="A26">Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark</nlm:aff></affiliation><affiliation><nlm:aff id="A27">Department of Medicine, Stanford University School of Medicine, Stanford, California, USA</nlm:aff></affiliation></author><author><name sortKey="Gu, Jian" sort="Gu, Jian" uniqKey="Gu J" first="Jian" last="Gu">Jian Gu</name><affiliation><nlm:aff id="A28">Department of Epidemiology, M.D. Anderson Cancer Center, Houston, Texas, USA</nlm:aff></affiliation></author><author><name sortKey="Jackson, Rebecca D" sort="Jackson, Rebecca D" uniqKey="Jackson R" first="Rebecca D" last="Jackson">Rebecca D. Jackson</name><affiliation><nlm:aff id="A29">Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio, USA</nlm:aff></affiliation></author><author><name sortKey="Kane, Eleanor" sort="Kane, Eleanor" uniqKey="Kane E" first="Eleanor" last="Kane">Eleanor Kane</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Teras, Lauren R" sort="Teras, Lauren R" uniqKey="Teras L" first="Lauren R" last="Teras">Lauren R. Teras</name><affiliation><nlm:aff id="A31">Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA</nlm:aff></affiliation></author><author><name sortKey="Purdue, Mark P" sort="Purdue, Mark P" uniqKey="Purdue M" first="Mark P" last="Purdue">Mark P. Purdue</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Vajdic, Claire M" sort="Vajdic, Claire M" uniqKey="Vajdic C" first="Claire M" last="Vajdic">Claire M. Vajdic</name><affiliation><nlm:aff id="A32">Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia</nlm:aff></affiliation></author><author><name sortKey="Spinelli, John J" sort="Spinelli, John J" uniqKey="Spinelli J" first="John J" last="Spinelli">John J. Spinelli</name><affiliation><nlm:aff id="A33">Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A34">School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada</nlm:aff></affiliation></author><author><name sortKey="Giles, Graham G" sort="Giles, Graham G" uniqKey="Giles G" first="Graham G" last="Giles">Graham G. Giles</name><affiliation><nlm:aff id="A24">Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia</nlm:aff></affiliation><affiliation><nlm:aff id="A25">Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Albanes, Demetrius" sort="Albanes, Demetrius" uniqKey="Albanes D" first="Demetrius" last="Albanes">Demetrius Albanes</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Kelly, Rachel S" sort="Kelly, Rachel S" uniqKey="Kelly R" first="Rachel S" last="Kelly">Rachel S. Kelly</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A36">MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Zucca, Mariagrazia" sort="Zucca, Mariagrazia" uniqKey="Zucca M" first="Mariagrazia" last="Zucca">Mariagrazia Zucca</name><affiliation><nlm:aff id="A37">Department of Biomedical Science, University of Cagliari, Monserrato, Cagliari, Italy</nlm:aff></affiliation></author><author><name sortKey="Bertrand, Kimberly A" sort="Bertrand, Kimberly A" uniqKey="Bertrand K" first="Kimberly A" last="Bertrand">Kimberly A. Bertrand</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A38">Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Zeleniuch Jacquotte, Anne" sort="Zeleniuch Jacquotte, Anne" uniqKey="Zeleniuch Jacquotte A" first="Anne" last="Zeleniuch-Jacquotte">Anne Zeleniuch-Jacquotte</name><affiliation><nlm:aff id="A39">Department of Population Health, New York University School of Medicine, New York, New York, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A40">Cancer Institute, New York University School of Medicine, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Lawrence, Charles" sort="Lawrence, Charles" uniqKey="Lawrence C" first="Charles" last="Lawrence">Charles Lawrence</name><affiliation><nlm:aff id="A41">Health Studies Sector, Westat, Rockville, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Hutchinson, Amy" sort="Hutchinson, Amy" uniqKey="Hutchinson A" first="Amy" last="Hutchinson">Amy Hutchinson</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Zhi, Degui" sort="Zhi, Degui" uniqKey="Zhi D" first="Degui" last="Zhi">Degui Zhi</name><affiliation><nlm:aff id="A42">Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA</nlm:aff></affiliation></author><author><name sortKey="Habermann, Thomas M" sort="Habermann, Thomas M" uniqKey="Habermann T" first="Thomas M" last="Habermann">Thomas M. Habermann</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Link, Brian K" sort="Link, Brian K" uniqKey="Link B" first="Brian K" last="Link">Brian K. Link</name><affiliation><nlm:aff id="A44">Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA</nlm:aff></affiliation></author><author><name sortKey="Novak, Anne J" sort="Novak, Anne J" uniqKey="Novak A" first="Anne J" last="Novak">Anne J. Novak</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Dogan, Ahmet" sort="Dogan, Ahmet" uniqKey="Dogan A" first="Ahmet" last="Dogan">Ahmet Dogan</name><affiliation><nlm:aff id="A45">Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Asmann, Yan W" sort="Asmann, Yan W" uniqKey="Asmann Y" first="Yan W" last="Asmann">Yan W. Asmann</name><affiliation><nlm:aff id="A46">Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Liebow, Mark" sort="Liebow, Mark" uniqKey="Liebow M" first="Mark" last="Liebow">Mark Liebow</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Thompson, Carrie A" sort="Thompson, Carrie A" uniqKey="Thompson C" first="Carrie A" last="Thompson">Carrie A. Thompson</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Ansell, Stephen M" sort="Ansell, Stephen M" uniqKey="Ansell S" first="Stephen M" last="Ansell">Stephen M. Ansell</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Witzig, Thomas E" sort="Witzig, Thomas E" uniqKey="Witzig T" first="Thomas E" last="Witzig">Thomas E. Witzig</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Weiner, George J" sort="Weiner, George J" uniqKey="Weiner G" first="George J" last="Weiner">George J. Weiner</name><affiliation><nlm:aff id="A44">Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA</nlm:aff></affiliation></author><author><name sortKey="Veron, Amelie S" sort="Veron, Amelie S" uniqKey="Veron A" first="Amelie S" last="Veron">Amelie S. Veron</name><affiliation><nlm:aff id="A14">Léon-Bérard Cancer Center, Cancer Research Center of Lyon, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Zelenika, Diana" sort="Zelenika, Diana" uniqKey="Zelenika D" first="Diana" last="Zelenika">Diana Zelenika</name><affiliation><nlm:aff id="A47">Centre National de Génotypage, Evry, France</nlm:aff></affiliation></author><author><name sortKey="Tilly, Herve" sort="Tilly, Herve" uniqKey="Tilly H" first="Hervé" last="Tilly">Hervé Tilly</name><affiliation><nlm:aff id="A48">Centre Heni Becquerel, Rouen, France</nlm:aff></affiliation></author><author><name sortKey="Haioun, Corinne" sort="Haioun, Corinne" uniqKey="Haioun C" first="Corinne" last="Haioun">Corinne Haioun</name><affiliation><nlm:aff id="A49">Department of Hematology, CHU Henri Mondor, Creteil, France</nlm:aff></affiliation></author><author><name sortKey="Molina, Thierry Jo" sort="Molina, Thierry Jo" uniqKey="Molina T" first="Thierry Jo" last="Molina">Thierry Jo Molina</name><affiliation><nlm:aff id="A50">Department of Pathology, AP-HP, Necker Enfants Malades, Université Paris Descartes, Sorbonne Paris Cité, France</nlm:aff></affiliation></author><author><name sortKey="Hjalgrim, Henrik" sort="Hjalgrim, Henrik" uniqKey="Hjalgrim H" first="Henrik" last="Hjalgrim">Henrik Hjalgrim</name><affiliation><nlm:aff id="A26">Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark</nlm:aff></affiliation></author><author><name sortKey="Glimelius, Bengt" sort="Glimelius, Bengt" uniqKey="Glimelius B" first="Bengt" last="Glimelius">Bengt Glimelius</name><affiliation><nlm:aff id="A51">Department of Oncology and Pathology, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden</nlm:aff></affiliation><affiliation><nlm:aff id="A52">Department of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala, Sweden</nlm:aff></affiliation></author><author><name sortKey="Adami, Hans Olov" sort="Adami, Hans Olov" uniqKey="Adami H" first="Hans-Olov" last="Adami">Hans-Olov Adami</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A53">Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden</nlm:aff></affiliation></author><author><name sortKey="Bracci, Paige M" sort="Bracci, Paige M" uniqKey="Bracci P" first="Paige M" last="Bracci">Paige M. Bracci</name><affiliation><nlm:aff id="A54">Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, USA</nlm:aff></affiliation></author><author><name sortKey="Riby, Jacques" sort="Riby, Jacques" uniqKey="Riby J" first="Jacques" last="Riby">Jacques Riby</name><affiliation><nlm:aff id="A9">Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="Smith, Martyn T" sort="Smith, Martyn T" uniqKey="Smith M" first="Martyn T" last="Smith">Martyn T. Smith</name><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="Holly, Elizabeth A" sort="Holly, Elizabeth A" uniqKey="Holly E" first="Elizabeth A" last="Holly">Elizabeth A. Holly</name><affiliation><nlm:aff id="A54">Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, USA</nlm:aff></affiliation></author><author><name sortKey="Cozen, Wendy" sort="Cozen, Wendy" uniqKey="Cozen W" first="Wendy" last="Cozen">Wendy Cozen</name><affiliation><nlm:aff id="A55">Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A56">Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA</nlm:aff></affiliation></author><author><name sortKey="Hartge, Patricia" sort="Hartge, Patricia" uniqKey="Hartge P" first="Patricia" last="Hartge">Patricia Hartge</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Morton, Lindsay M" sort="Morton, Lindsay M" uniqKey="Morton L" first="Lindsay M" last="Morton">Lindsay M. Morton</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Severson, Richard K" sort="Severson, Richard K" uniqKey="Severson R" first="Richard K" last="Severson">Richard K. Severson</name><affiliation><nlm:aff id="A57">Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA</nlm:aff></affiliation></author><author><name sortKey="Tinker, Lesley F" sort="Tinker, Lesley F" uniqKey="Tinker L" first="Lesley F" last="Tinker">Lesley F. Tinker</name><affiliation><nlm:aff id="A20">Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA</nlm:aff></affiliation></author><author><name sortKey="North, Kari E" sort="North, Kari E" uniqKey="North K" first="Kari E" last="North">Kari E. North</name><affiliation><nlm:aff id="A58">Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A59">Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</nlm:aff></affiliation></author><author><name sortKey="Becker, Nikolaus" sort="Becker, Nikolaus" uniqKey="Becker N" first="Nikolaus" last="Becker">Nikolaus Becker</name><affiliation><nlm:aff id="A60">Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany</nlm:aff></affiliation></author><author><name sortKey="Benavente, Yolanda" sort="Benavente, Yolanda" uniqKey="Benavente Y" first="Yolanda" last="Benavente">Yolanda Benavente</name><affiliation><nlm:aff id="A61">Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d’Oncologia, IDIBELL, Barcelona, Spain</nlm:aff></affiliation><affiliation><nlm:aff id="A62">Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain</nlm:aff></affiliation></author><author><name sortKey="Boffetta, Paolo" sort="Boffetta, Paolo" uniqKey="Boffetta P" first="Paolo" last="Boffetta">Paolo Boffetta</name><affiliation><nlm:aff id="A63">The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Brennan, Paul" sort="Brennan, Paul" uniqKey="Brennan P" first="Paul" last="Brennan">Paul Brennan</name><affiliation><nlm:aff id="A64">Group of Genetic Epidemiology, Section of Genetics, International Agency for Research on Cancer, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Foretova, Lenka" sort="Foretova, Lenka" uniqKey="Foretova L" first="Lenka" last="Foretova">Lenka Foretova</name><affiliation><nlm:aff id="A65">Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno, Czech Republic</nlm:aff></affiliation></author><author><name sortKey="Maynadie, Marc" sort="Maynadie, Marc" uniqKey="Maynadie M" first="Marc" last="Maynadie">Marc Maynadie</name><affiliation><nlm:aff id="A66">EA 4184, Registre des Hémopathies Malignes de Côte d’Or, University of Burgundy and Dijon University Hospital, Dijon, France</nlm:aff></affiliation></author><author><name sortKey="Staines, Anthony" sort="Staines, Anthony" uniqKey="Staines A" first="Anthony" last="Staines">Anthony Staines</name><affiliation><nlm:aff id="A67">School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland</nlm:aff></affiliation></author><author><name sortKey="Lightfoot, Tracy" sort="Lightfoot, Tracy" uniqKey="Lightfoot T" first="Tracy" last="Lightfoot">Tracy Lightfoot</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Crouch, Simon" sort="Crouch, Simon" uniqKey="Crouch S" first="Simon" last="Crouch">Simon Crouch</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Smith, Alex" sort="Smith, Alex" uniqKey="Smith A" first="Alex" last="Smith">Alex Smith</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Roman, Eve" sort="Roman, Eve" uniqKey="Roman E" first="Eve" last="Roman">Eve Roman</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Diver, W Ryan" sort="Diver, W Ryan" uniqKey="Diver W" first="W Ryan" last="Diver">W Ryan Diver</name><affiliation><nlm:aff id="A31">Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA</nlm:aff></affiliation></author><author><name sortKey="Offit, Kenneth" sort="Offit, Kenneth" uniqKey="Offit K" first="Kenneth" last="Offit">Kenneth Offit</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Zelenetz, Andrew" sort="Zelenetz, Andrew" uniqKey="Zelenetz A" first="Andrew" last="Zelenetz">Andrew Zelenetz</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Klein, Robert J" sort="Klein, Robert J" uniqKey="Klein R" first="Robert J" last="Klein">Robert J. Klein</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Villano, Danylo J" sort="Villano, Danylo J" uniqKey="Villano D" first="Danylo J" last="Villano">Danylo J. Villano</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Zheng, Tongzhang" sort="Zheng, Tongzhang" uniqKey="Zheng T" first="Tongzhang" last="Zheng">Tongzhang Zheng</name><affiliation><nlm:aff id="A68">Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA</nlm:aff></affiliation></author><author><name sortKey="Zhang, Yawei" sort="Zhang, Yawei" uniqKey="Zhang Y" first="Yawei" last="Zhang">Yawei Zhang</name><affiliation><nlm:aff id="A68">Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA</nlm:aff></affiliation></author><author><name sortKey="Holford, Theodore R" sort="Holford, Theodore R" uniqKey="Holford T" first="Theodore R" last="Holford">Theodore R. Holford</name><affiliation><nlm:aff id="A69">Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA</nlm:aff></affiliation></author><author><name sortKey="Kricker, Anne" sort="Kricker, Anne" uniqKey="Kricker A" first="Anne" last="Kricker">Anne Kricker</name><affiliation><nlm:aff id="A70">Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia</nlm:aff></affiliation></author><author><name sortKey="Turner, Jenny" sort="Turner, Jenny" uniqKey="Turner J" first="Jenny" last="Turner">Jenny Turner</name><affiliation><nlm:aff id="A71">Pathology, Australian School of Advanced Medicine, Macquarie University, Sydney, New South Wales, Australia</nlm:aff></affiliation><affiliation><nlm:aff id="A72">Department of Histopathology, Douglass Hanly Moir Pathology, Macquarie Park, New South Wales, Australia</nlm:aff></affiliation></author><author><name sortKey="Southey, Melissa C" sort="Southey, Melissa C" uniqKey="Southey M" first="Melissa C" last="Southey">Melissa C. Southey</name><affiliation><nlm:aff id="A73">Department of Pathology, University of Melbourne, Parkville, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Clavel, Jacqueline" sort="Clavel, Jacqueline" uniqKey="Clavel J" first="Jacqueline" last="Clavel">Jacqueline Clavel</name><affiliation><nlm:aff id="A15">Environmental Epidemiology of Cancer Group, Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif, France</nlm:aff></affiliation><affiliation><nlm:aff id="A16">UMRS 1018, Univ Paris Sud, Villejuif, France</nlm:aff></affiliation></author><author><name sortKey="Virtamo, Jarmo" sort="Virtamo, Jarmo" uniqKey="Virtamo J" first="Jarmo" last="Virtamo">Jarmo Virtamo</name><affiliation><nlm:aff id="A74">Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland</nlm:aff></affiliation></author><author><name sortKey="Weinstein, Stephanie" sort="Weinstein, Stephanie" uniqKey="Weinstein S" first="Stephanie" last="Weinstein">Stephanie Weinstein</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Riboli, Elio" sort="Riboli, Elio" uniqKey="Riboli E" first="Elio" last="Riboli">Elio Riboli</name><affiliation><nlm:aff id="A75">School of Public Health, Imperial College London, London, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Vineis, Paolo" sort="Vineis, Paolo" uniqKey="Vineis P" first="Paolo" last="Vineis">Paolo Vineis</name><affiliation><nlm:aff id="A23">Human Genetics Foundation, Turin, Italy</nlm:aff></affiliation><affiliation><nlm:aff id="A36">MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Kaaks, Rudolph" sort="Kaaks, Rudolph" uniqKey="Kaaks R" first="Rudolph" last="Kaaks">Rudolph Kaaks</name><affiliation><nlm:aff id="A60">Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany</nlm:aff></affiliation></author><author><name sortKey="Trichopoulos, Dimitrios" sort="Trichopoulos, Dimitrios" uniqKey="Trichopoulos D" first="Dimitrios" last="Trichopoulos">Dimitrios Trichopoulos</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A76">Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece</nlm:aff></affiliation><affiliation><nlm:aff id="A77">Hellenic Health Foundation, Athens, Greece</nlm:aff></affiliation></author><author><name sortKey="Vermeulen, Roel C H" sort="Vermeulen, Roel C H" uniqKey="Vermeulen R" first="Roel C H" last="Vermeulen">Roel C H. Vermeulen</name><affiliation><nlm:aff id="A12">Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands</nlm:aff></affiliation><affiliation><nlm:aff id="A78">Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands</nlm:aff></affiliation></author><author><name sortKey="Boeing, Heiner" sort="Boeing, Heiner" uniqKey="Boeing H" first="Heiner" last="Boeing">Heiner Boeing</name><affiliation><nlm:aff id="A79">Department of Epidemiology, German Institute for Human Nutrition, Potsdam, Germany</nlm:aff></affiliation></author><author><name sortKey="Tjonneland, Anne" sort="Tjonneland, Anne" uniqKey="Tjonneland A" first="Anne" last="Tjonneland">Anne Tjonneland</name><affiliation><nlm:aff id="A80">Danish Cancer Society Research Center, Copenhagen, Denmark</nlm:aff></affiliation></author><author><name sortKey="Angelucci, Emanuele" sort="Angelucci, Emanuele" uniqKey="Angelucci E" first="Emanuele" last="Angelucci">Emanuele Angelucci</name><affiliation><nlm:aff id="A81">Hematology Unit, Ospedale Oncologico di Riferimento Regionale A. Businco, Cagliari, Italy</nlm:aff></affiliation></author><author><name sortKey="Di Lollo, Simonetta" sort="Di Lollo, Simonetta" uniqKey="Di Lollo S" first="Simonetta" last="Di Lollo">Simonetta Di Lollo</name><affiliation><nlm:aff id="A82">Department of Surgery and Translational Medicine, Section of Anatomo-Pathology, University of Florence, Florence, Italy</nlm:aff></affiliation></author><author><name sortKey="Rais, Marco" sort="Rais, Marco" uniqKey="Rais M" first="Marco" last="Rais">Marco Rais</name><affiliation><nlm:aff id="A83">Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy</nlm:aff></affiliation></author><author><name sortKey="Birmann, Brenda M" sort="Birmann, Brenda M" uniqKey="Birmann B" first="Brenda M" last="Birmann">Brenda M. Birmann</name><affiliation><nlm:aff id="A38">Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Laden, Francine" sort="Laden, Francine" uniqKey="Laden F" first="Francine" last="Laden">Francine Laden</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A38">Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A84">Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Giovannucci, Edward" sort="Giovannucci, Edward" uniqKey="Giovannucci E" first="Edward" last="Giovannucci">Edward Giovannucci</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A38">Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A85">Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Kraft, Peter" sort="Kraft, Peter" uniqKey="Kraft P" first="Peter" last="Kraft">Peter Kraft</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A86">Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Huang, Jinyan" sort="Huang, Jinyan" uniqKey="Huang J" first="Jinyan" last="Huang">Jinyan Huang</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Ma, Baoshan" sort="Ma, Baoshan" uniqKey="Ma B" first="Baoshan" last="Ma">Baoshan Ma</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A87">College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China</nlm:aff></affiliation></author><author><name sortKey="Ye, Yuanqing" sort="Ye, Yuanqing" uniqKey="Ye Y" first="Yuanqing" last="Ye">Yuanqing Ye</name><affiliation><nlm:aff id="A28">Department of Epidemiology, M.D. Anderson Cancer Center, Houston, Texas, USA</nlm:aff></affiliation></author><author><name sortKey="Chiu, Brian C H" sort="Chiu, Brian C H" uniqKey="Chiu B" first="Brian C H" last="Chiu">Brian C H. Chiu</name><affiliation><nlm:aff id="A88">Department of Health Studies, University of Chicago, Chicago, Illinois, USA</nlm:aff></affiliation></author><author><name sortKey="Sampson, Joshua" sort="Sampson, Joshua" uniqKey="Sampson J" first="Joshua" last="Sampson">Joshua Sampson</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Liang, Liming" sort="Liang, Liming" uniqKey="Liang L" first="Liming" last="Liang">Liming Liang</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A86">Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Park, Ju Hyun" sort="Park, Ju Hyun" uniqKey="Park J" first="Ju-Hyun" last="Park">Ju-Hyun Park</name><affiliation><nlm:aff id="A89">Dongguk University-Seoul, Seoul, South Korea</nlm:aff></affiliation></author><author><name sortKey="Chung, Charles C" sort="Chung, Charles C" uniqKey="Chung C" first="Charles C" last="Chung">Charles C. Chung</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Weisenburger, Dennis D" sort="Weisenburger, Dennis D" uniqKey="Weisenburger D" first="Dennis D" last="Weisenburger">Dennis D. Weisenburger</name><affiliation><nlm:aff id="A90">Department of Pathology, City of Hope National Medical Center, Duarte, California, USA</nlm:aff></affiliation></author><author><name sortKey="Chatterjee, Nilanjan" sort="Chatterjee, Nilanjan" uniqKey="Chatterjee N" first="Nilanjan" last="Chatterjee">Nilanjan Chatterjee</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Fraumeni, Joseph F" sort="Fraumeni, Joseph F" uniqKey="Fraumeni J" first="Joseph F" last="Fraumeni">Joseph F. Fraumeni</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Slager, Susan L" sort="Slager, Susan L" uniqKey="Slager S" first="Susan L" last="Slager">Susan L. Slager</name><affiliation><nlm:aff id="A1">Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Wu, Xifeng" sort="Wu, Xifeng" uniqKey="Wu X" first="Xifeng" last="Wu">Xifeng Wu</name><affiliation><nlm:aff id="A28">Department of Epidemiology, M.D. Anderson Cancer Center, Houston, Texas, USA</nlm:aff></affiliation></author><author><name sortKey="De Sanjose, Silvia" sort="De Sanjose, Silvia" uniqKey="De Sanjose S" first="Silvia" last="De Sanjose">Silvia De Sanjose</name><affiliation><nlm:aff id="A61">Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d’Oncologia, IDIBELL, Barcelona, Spain</nlm:aff></affiliation><affiliation><nlm:aff id="A62">Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain</nlm:aff></affiliation></author><author><name sortKey="Smedby, Karin E" sort="Smedby, Karin E" uniqKey="Smedby K" first="Karin E" last="Smedby">Karin E. Smedby</name><affiliation><nlm:aff id="A91">Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden</nlm:aff></affiliation></author><author><name sortKey="Salles, Gilles" sort="Salles, Gilles" uniqKey="Salles G" first="Gilles" last="Salles">Gilles Salles</name><affiliation><nlm:aff id="A5">Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex, France</nlm:aff></affiliation><affiliation><nlm:aff id="A92">Department of Hematology, Hospices Civils de Lyon, Pierre benite Cedex, France</nlm:aff></affiliation><affiliation><nlm:aff id="A93">Department of Hematology, Université Lyon-1, Pierre benite Cedex, France</nlm:aff></affiliation></author><author><name sortKey="Skibola, Christine F" sort="Skibola, Christine F" uniqKey="Skibola C" first="Christine F" last="Skibola">Christine F. Skibola</name><affiliation><nlm:aff id="A9">Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="Rothman, Nathaniel" sort="Rothman, Nathaniel" uniqKey="Rothman N" first="Nathaniel" last="Rothman">Nathaniel Rothman</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Chanock, Stephen J" sort="Chanock, Stephen J" uniqKey="Chanock S" first="Stephen J" last="Chanock">Stephen J. Chanock</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25261932</idno><idno type="pmc">4213349</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4213349</idno><idno type="RBID">PMC:4213349</idno><idno type="doi">10.1038/ng.3105</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">002E37</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002E37</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma</title><author><name sortKey="Cerhan, James R" sort="Cerhan, James R" uniqKey="Cerhan J" first="James R" last="Cerhan">James R. Cerhan</name><affiliation><nlm:aff id="A1">Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Berndt, Sonja I" sort="Berndt, Sonja I" uniqKey="Berndt S" first="Sonja I" last="Berndt">Sonja I. Berndt</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Vijai, Joseph" sort="Vijai, Joseph" uniqKey="Vijai J" first="Joseph" last="Vijai">Joseph Vijai</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Ghesquieres, Herve" sort="Ghesquieres, Herve" uniqKey="Ghesquieres H" first="Hervé" last="Ghesquières">Hervé Ghesquières</name><affiliation><nlm:aff id="A4">Department of Hematology, Centre Léon Bérard, Lyon, France</nlm:aff></affiliation><affiliation><nlm:aff id="A5">Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex, France</nlm:aff></affiliation></author><author><name sortKey="Mckay, James" sort="Mckay, James" uniqKey="Mckay J" first="James" last="Mckay">James Mckay</name><affiliation><nlm:aff id="A6">Genetic Cancer Susceptibility Group, Section of Genetics, International Agency for Research on Cancer, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Wang, Sophia S" sort="Wang, Sophia S" uniqKey="Wang S" first="Sophia S" last="Wang">Sophia S. Wang</name><affiliation><nlm:aff id="A7">Department of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, California, USA</nlm:aff></affiliation></author><author><name sortKey="Wang, Zhaoming" sort="Wang, Zhaoming" uniqKey="Wang Z" first="Zhaoming" last="Wang">Zhaoming Wang</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Yeager, Meredith" sort="Yeager, Meredith" uniqKey="Yeager M" first="Meredith" last="Yeager">Meredith Yeager</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Conde, Lucia" sort="Conde, Lucia" uniqKey="Conde L" first="Lucia" last="Conde">Lucia Conde</name><affiliation><nlm:aff id="A9">Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="De Bakker, Paul I W" sort="De Bakker, Paul I W" uniqKey="De Bakker P" first="Paul I W" last="De Bakker">Paul I W. De Bakker</name><affiliation><nlm:aff id="A11">Department of Medical Genetics and of Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands</nlm:aff></affiliation><affiliation><nlm:aff id="A12">Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands</nlm:aff></affiliation></author><author><name sortKey="Nieters, Alexandra" sort="Nieters, Alexandra" uniqKey="Nieters A" first="Alexandra" last="Nieters">Alexandra Nieters</name><affiliation><nlm:aff id="A13">Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg, Germany</nlm:aff></affiliation></author><author><name sortKey="Cox, David" sort="Cox, David" uniqKey="Cox D" first="David" last="Cox">David Cox</name><affiliation><nlm:aff id="A14">Léon-Bérard Cancer Center, Cancer Research Center of Lyon, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Burdett, Laurie" sort="Burdett, Laurie" uniqKey="Burdett L" first="Laurie" last="Burdett">Laurie Burdett</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Monnereau, Alain" sort="Monnereau, Alain" uniqKey="Monnereau A" first="Alain" last="Monnereau">Alain Monnereau</name><affiliation><nlm:aff id="A15">Environmental Epidemiology of Cancer Group, Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif, France</nlm:aff></affiliation><affiliation><nlm:aff id="A16">UMRS 1018, Univ Paris Sud, Villejuif, France</nlm:aff></affiliation><affiliation><nlm:aff id="A17">Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux Cedex, France</nlm:aff></affiliation></author><author><name sortKey="Flowers, Christopher R" sort="Flowers, Christopher R" uniqKey="Flowers C" first="Christopher R" last="Flowers">Christopher R. Flowers</name><affiliation><nlm:aff id="A18">Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA</nlm:aff></affiliation></author><author><name sortKey="De Roos, Anneclaire J" sort="De Roos, Anneclaire J" uniqKey="De Roos A" first="Anneclaire J" last="De Roos">Anneclaire J. De Roos</name><affiliation><nlm:aff id="A19">Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A20">Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA</nlm:aff></affiliation></author><author><name sortKey="Brooks Wilson, Angela R" sort="Brooks Wilson, Angela R" uniqKey="Brooks Wilson A" first="Angela R" last="Brooks-Wilson">Angela R. Brooks-Wilson</name><affiliation><nlm:aff id="A21">Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A22">Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada</nlm:aff></affiliation></author><author><name sortKey="Lan, Qing" sort="Lan, Qing" uniqKey="Lan Q" first="Qing" last="Lan">Qing Lan</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Severi, Gianluca" sort="Severi, Gianluca" uniqKey="Severi G" first="Gianluca" last="Severi">Gianluca Severi</name><affiliation><nlm:aff id="A23">Human Genetics Foundation, Turin, Italy</nlm:aff></affiliation><affiliation><nlm:aff id="A24">Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia</nlm:aff></affiliation><affiliation><nlm:aff id="A25">Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Melbye, Mads" sort="Melbye, Mads" uniqKey="Melbye M" first="Mads" last="Melbye">Mads Melbye</name><affiliation><nlm:aff id="A26">Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark</nlm:aff></affiliation><affiliation><nlm:aff id="A27">Department of Medicine, Stanford University School of Medicine, Stanford, California, USA</nlm:aff></affiliation></author><author><name sortKey="Gu, Jian" sort="Gu, Jian" uniqKey="Gu J" first="Jian" last="Gu">Jian Gu</name><affiliation><nlm:aff id="A28">Department of Epidemiology, M.D. Anderson Cancer Center, Houston, Texas, USA</nlm:aff></affiliation></author><author><name sortKey="Jackson, Rebecca D" sort="Jackson, Rebecca D" uniqKey="Jackson R" first="Rebecca D" last="Jackson">Rebecca D. Jackson</name><affiliation><nlm:aff id="A29">Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio, USA</nlm:aff></affiliation></author><author><name sortKey="Kane, Eleanor" sort="Kane, Eleanor" uniqKey="Kane E" first="Eleanor" last="Kane">Eleanor Kane</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Teras, Lauren R" sort="Teras, Lauren R" uniqKey="Teras L" first="Lauren R" last="Teras">Lauren R. Teras</name><affiliation><nlm:aff id="A31">Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA</nlm:aff></affiliation></author><author><name sortKey="Purdue, Mark P" sort="Purdue, Mark P" uniqKey="Purdue M" first="Mark P" last="Purdue">Mark P. Purdue</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Vajdic, Claire M" sort="Vajdic, Claire M" uniqKey="Vajdic C" first="Claire M" last="Vajdic">Claire M. Vajdic</name><affiliation><nlm:aff id="A32">Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia</nlm:aff></affiliation></author><author><name sortKey="Spinelli, John J" sort="Spinelli, John J" uniqKey="Spinelli J" first="John J" last="Spinelli">John J. Spinelli</name><affiliation><nlm:aff id="A33">Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A34">School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada</nlm:aff></affiliation></author><author><name sortKey="Giles, Graham G" sort="Giles, Graham G" uniqKey="Giles G" first="Graham G" last="Giles">Graham G. Giles</name><affiliation><nlm:aff id="A24">Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia</nlm:aff></affiliation><affiliation><nlm:aff id="A25">Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia</nlm:aff></affiliation></author><author><name sortKey="Albanes, Demetrius" sort="Albanes, Demetrius" uniqKey="Albanes D" first="Demetrius" last="Albanes">Demetrius Albanes</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Kelly, Rachel S" sort="Kelly, Rachel S" uniqKey="Kelly R" first="Rachel S" last="Kelly">Rachel S. Kelly</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A36">MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Zucca, Mariagrazia" sort="Zucca, Mariagrazia" uniqKey="Zucca M" first="Mariagrazia" last="Zucca">Mariagrazia Zucca</name><affiliation><nlm:aff id="A37">Department of Biomedical Science, University of Cagliari, Monserrato, Cagliari, Italy</nlm:aff></affiliation></author><author><name sortKey="Bertrand, Kimberly A" sort="Bertrand, Kimberly A" uniqKey="Bertrand K" first="Kimberly A" last="Bertrand">Kimberly A. Bertrand</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A38">Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA</nlm:aff></affiliation></author><author><name sortKey="Zeleniuch Jacquotte, Anne" sort="Zeleniuch Jacquotte, Anne" uniqKey="Zeleniuch Jacquotte A" first="Anne" last="Zeleniuch-Jacquotte">Anne Zeleniuch-Jacquotte</name><affiliation><nlm:aff id="A39">Department of Population Health, New York University School of Medicine, New York, New York, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A40">Cancer Institute, New York University School of Medicine, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Lawrence, Charles" sort="Lawrence, Charles" uniqKey="Lawrence C" first="Charles" last="Lawrence">Charles Lawrence</name><affiliation><nlm:aff id="A41">Health Studies Sector, Westat, Rockville, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Hutchinson, Amy" sort="Hutchinson, Amy" uniqKey="Hutchinson A" first="Amy" last="Hutchinson">Amy Hutchinson</name><affiliation><nlm:aff id="A8">Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Zhi, Degui" sort="Zhi, Degui" uniqKey="Zhi D" first="Degui" last="Zhi">Degui Zhi</name><affiliation><nlm:aff id="A42">Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA</nlm:aff></affiliation></author><author><name sortKey="Habermann, Thomas M" sort="Habermann, Thomas M" uniqKey="Habermann T" first="Thomas M" last="Habermann">Thomas M. Habermann</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Link, Brian K" sort="Link, Brian K" uniqKey="Link B" first="Brian K" last="Link">Brian K. Link</name><affiliation><nlm:aff id="A44">Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA</nlm:aff></affiliation></author><author><name sortKey="Novak, Anne J" sort="Novak, Anne J" uniqKey="Novak A" first="Anne J" last="Novak">Anne J. Novak</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Dogan, Ahmet" sort="Dogan, Ahmet" uniqKey="Dogan A" first="Ahmet" last="Dogan">Ahmet Dogan</name><affiliation><nlm:aff id="A45">Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Asmann, Yan W" sort="Asmann, Yan W" uniqKey="Asmann Y" first="Yan W" last="Asmann">Yan W. Asmann</name><affiliation><nlm:aff id="A46">Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Liebow, Mark" sort="Liebow, Mark" uniqKey="Liebow M" first="Mark" last="Liebow">Mark Liebow</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Thompson, Carrie A" sort="Thompson, Carrie A" uniqKey="Thompson C" first="Carrie A" last="Thompson">Carrie A. Thompson</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Ansell, Stephen M" sort="Ansell, Stephen M" uniqKey="Ansell S" first="Stephen M" last="Ansell">Stephen M. Ansell</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Witzig, Thomas E" sort="Witzig, Thomas E" uniqKey="Witzig T" first="Thomas E" last="Witzig">Thomas E. Witzig</name><affiliation><nlm:aff id="A43">Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</nlm:aff></affiliation></author><author><name sortKey="Weiner, George J" sort="Weiner, George J" uniqKey="Weiner G" first="George J" last="Weiner">George J. Weiner</name><affiliation><nlm:aff id="A44">Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA</nlm:aff></affiliation></author><author><name sortKey="Veron, Amelie S" sort="Veron, Amelie S" uniqKey="Veron A" first="Amelie S" last="Veron">Amelie S. Veron</name><affiliation><nlm:aff id="A14">Léon-Bérard Cancer Center, Cancer Research Center of Lyon, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Zelenika, Diana" sort="Zelenika, Diana" uniqKey="Zelenika D" first="Diana" last="Zelenika">Diana Zelenika</name><affiliation><nlm:aff id="A47">Centre National de Génotypage, Evry, France</nlm:aff></affiliation></author><author><name sortKey="Tilly, Herve" sort="Tilly, Herve" uniqKey="Tilly H" first="Hervé" last="Tilly">Hervé Tilly</name><affiliation><nlm:aff id="A48">Centre Heni Becquerel, Rouen, France</nlm:aff></affiliation></author><author><name sortKey="Haioun, Corinne" sort="Haioun, Corinne" uniqKey="Haioun C" first="Corinne" last="Haioun">Corinne Haioun</name><affiliation><nlm:aff id="A49">Department of Hematology, CHU Henri Mondor, Creteil, France</nlm:aff></affiliation></author><author><name sortKey="Molina, Thierry Jo" sort="Molina, Thierry Jo" uniqKey="Molina T" first="Thierry Jo" last="Molina">Thierry Jo Molina</name><affiliation><nlm:aff id="A50">Department of Pathology, AP-HP, Necker Enfants Malades, Université Paris Descartes, Sorbonne Paris Cité, France</nlm:aff></affiliation></author><author><name sortKey="Hjalgrim, Henrik" sort="Hjalgrim, Henrik" uniqKey="Hjalgrim H" first="Henrik" last="Hjalgrim">Henrik Hjalgrim</name><affiliation><nlm:aff id="A26">Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark</nlm:aff></affiliation></author><author><name sortKey="Glimelius, Bengt" sort="Glimelius, Bengt" uniqKey="Glimelius B" first="Bengt" last="Glimelius">Bengt Glimelius</name><affiliation><nlm:aff id="A51">Department of Oncology and Pathology, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden</nlm:aff></affiliation><affiliation><nlm:aff id="A52">Department of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala, Sweden</nlm:aff></affiliation></author><author><name sortKey="Adami, Hans Olov" sort="Adami, Hans Olov" uniqKey="Adami H" first="Hans-Olov" last="Adami">Hans-Olov Adami</name><affiliation><nlm:aff id="A35">Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A53">Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden</nlm:aff></affiliation></author><author><name sortKey="Bracci, Paige M" sort="Bracci, Paige M" uniqKey="Bracci P" first="Paige M" last="Bracci">Paige M. Bracci</name><affiliation><nlm:aff id="A54">Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, USA</nlm:aff></affiliation></author><author><name sortKey="Riby, Jacques" sort="Riby, Jacques" uniqKey="Riby J" first="Jacques" last="Riby">Jacques Riby</name><affiliation><nlm:aff id="A9">Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="Smith, Martyn T" sort="Smith, Martyn T" uniqKey="Smith M" first="Martyn T" last="Smith">Martyn T. Smith</name><affiliation><nlm:aff id="A10">Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</nlm:aff></affiliation></author><author><name sortKey="Holly, Elizabeth A" sort="Holly, Elizabeth A" uniqKey="Holly E" first="Elizabeth A" last="Holly">Elizabeth A. Holly</name><affiliation><nlm:aff id="A54">Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, USA</nlm:aff></affiliation></author><author><name sortKey="Cozen, Wendy" sort="Cozen, Wendy" uniqKey="Cozen W" first="Wendy" last="Cozen">Wendy Cozen</name><affiliation><nlm:aff id="A55">Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A56">Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA</nlm:aff></affiliation></author><author><name sortKey="Hartge, Patricia" sort="Hartge, Patricia" uniqKey="Hartge P" first="Patricia" last="Hartge">Patricia Hartge</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Morton, Lindsay M" sort="Morton, Lindsay M" uniqKey="Morton L" first="Lindsay M" last="Morton">Lindsay M. Morton</name><affiliation><nlm:aff id="A2">Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</nlm:aff></affiliation></author><author><name sortKey="Severson, Richard K" sort="Severson, Richard K" uniqKey="Severson R" first="Richard K" last="Severson">Richard K. Severson</name><affiliation><nlm:aff id="A57">Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA</nlm:aff></affiliation></author><author><name sortKey="Tinker, Lesley F" sort="Tinker, Lesley F" uniqKey="Tinker L" first="Lesley F" last="Tinker">Lesley F. Tinker</name><affiliation><nlm:aff id="A20">Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA</nlm:aff></affiliation></author><author><name sortKey="North, Kari E" sort="North, Kari E" uniqKey="North K" first="Kari E" last="North">Kari E. North</name><affiliation><nlm:aff id="A58">Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A59">Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</nlm:aff></affiliation></author><author><name sortKey="Becker, Nikolaus" sort="Becker, Nikolaus" uniqKey="Becker N" first="Nikolaus" last="Becker">Nikolaus Becker</name><affiliation><nlm:aff id="A60">Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany</nlm:aff></affiliation></author><author><name sortKey="Benavente, Yolanda" sort="Benavente, Yolanda" uniqKey="Benavente Y" first="Yolanda" last="Benavente">Yolanda Benavente</name><affiliation><nlm:aff id="A61">Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d’Oncologia, IDIBELL, Barcelona, Spain</nlm:aff></affiliation><affiliation><nlm:aff id="A62">Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain</nlm:aff></affiliation></author><author><name sortKey="Boffetta, Paolo" sort="Boffetta, Paolo" uniqKey="Boffetta P" first="Paolo" last="Boffetta">Paolo Boffetta</name><affiliation><nlm:aff id="A63">The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Brennan, Paul" sort="Brennan, Paul" uniqKey="Brennan P" first="Paul" last="Brennan">Paul Brennan</name><affiliation><nlm:aff id="A64">Group of Genetic Epidemiology, Section of Genetics, International Agency for Research on Cancer, Lyon, France</nlm:aff></affiliation></author><author><name sortKey="Foretova, Lenka" sort="Foretova, Lenka" uniqKey="Foretova L" first="Lenka" last="Foretova">Lenka Foretova</name><affiliation><nlm:aff id="A65">Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno, Czech Republic</nlm:aff></affiliation></author><author><name sortKey="Maynadie, Marc" sort="Maynadie, Marc" uniqKey="Maynadie M" first="Marc" last="Maynadie">Marc Maynadie</name><affiliation><nlm:aff id="A66">EA 4184, Registre des Hémopathies Malignes de Côte d’Or, University of Burgundy and Dijon University Hospital, Dijon, France</nlm:aff></affiliation></author><author><name sortKey="Staines, Anthony" sort="Staines, Anthony" uniqKey="Staines A" first="Anthony" last="Staines">Anthony Staines</name><affiliation><nlm:aff id="A67">School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland</nlm:aff></affiliation></author><author><name sortKey="Lightfoot, Tracy" sort="Lightfoot, Tracy" uniqKey="Lightfoot T" first="Tracy" last="Lightfoot">Tracy Lightfoot</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Crouch, Simon" sort="Crouch, Simon" uniqKey="Crouch S" first="Simon" last="Crouch">Simon Crouch</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Smith, Alex" sort="Smith, Alex" uniqKey="Smith A" first="Alex" last="Smith">Alex Smith</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Roman, Eve" sort="Roman, Eve" uniqKey="Roman E" first="Eve" last="Roman">Eve Roman</name><affiliation><nlm:aff id="A30">Department of Health Sciences, University of York, York, United Kingdom</nlm:aff></affiliation></author><author><name sortKey="Diver, W Ryan" sort="Diver, W Ryan" uniqKey="Diver W" first="W Ryan" last="Diver">W Ryan Diver</name><affiliation><nlm:aff id="A31">Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA</nlm:aff></affiliation></author><author><name sortKey="Offit, Kenneth" sort="Offit, Kenneth" uniqKey="Offit K" first="Kenneth" last="Offit">Kenneth Offit</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Zelenetz, Andrew" sort="Zelenetz, Andrew" uniqKey="Zelenetz A" first="Andrew" last="Zelenetz">Andrew Zelenetz</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Klein, Robert J" sort="Klein, Robert J" uniqKey="Klein R" first="Robert J" last="Klein">Robert J. Klein</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Villano, Danylo J" sort="Villano, Danylo J" uniqKey="Villano D" first="Danylo J" last="Villano">Danylo J. Villano</name><affiliation><nlm:aff id="A3">Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</nlm:aff></affiliation></author><author><name sortKey="Zheng, Tongzhang" sort="Zheng, Tongzhang" uniqKey="Zheng T" first="Tongzhang" last="Zheng">Tongzhang Zheng</name><affiliation><nlm:aff id="A68">Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA</nlm:aff></affiliation></author><author><name sortKey="Zhang, Yawei" sort="Zhang, Yawei" uniqKey="Zhang Y" first="Yawei" last="Zhang">Yawei Zhang</name><affiliation><nlm:aff id="A68">Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA</nlm:aff></affiliation></author><author><name sortKey="Holford, Theodore R" sort="Holford, Theodore R" uniqKey="Holford T" first="Theodore R" last="Holford">Theodore R. Holford</name><affiliation><nlm:aff id="A69">Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA</nlm:aff></affiliation></author><author><name sortKey="Kricker, Anne" sort="Kricker, Anne" uniqKey="Kricker A" first="Anne" last="Kricker">Anne Kricker</name><affiliation><nlm:aff id="A70">Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia</nlm:aff></affiliation></author><author><name sortKey="Turner, Jenny" sort="Turner, Jenny" uniqKey="Turner J" first="Jenny" last="Turner">Jenny Turner</name><affiliation><nlm:aff id="A71">Pathology, Australian School of Advanced Medicine, Macquarie University, Sydney, New South Wales, Australia</nlm:aff></affiliation><affiliation><nlm:aff id="A72">Department of Histopathology, Douglass Hanly Moir Pathology, Macquarie Park, New South Wales, Australia</nlm:aff></affiliation></author><author><name sortKey="Southey, Melissa C" sort="Southey, Melissa C" uniqKey="Southey M" first="Melissa C" last="Southey">Melissa C. 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Genet.</journal-id><journal-title-group><journal-title>Nature genetics</journal-title></journal-title-group><issn pub-type="ppub">1061-4036</issn><issn pub-type="epub">1546-1718</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25261932</article-id><article-id pub-id-type="pmc">4213349</article-id><article-id pub-id-type="doi">10.1038/ng.3105</article-id><article-id pub-id-type="manuscript">NIHMS626189</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Genome-wide association study identifies multiple susceptibility loci for diffuse large B-cell lymphoma</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Cerhan</surname><given-names>James R</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref rid="FN2" ref-type="author-notes">94</xref></contrib><contrib 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rid="A38">38</xref></contrib><contrib contrib-type="author"><name><surname>Laden</surname><given-names>Francine</given-names></name><xref ref-type="aff" rid="A35">35</xref><xref ref-type="aff" rid="A38">38</xref><xref ref-type="aff" rid="A84">84</xref></contrib><contrib contrib-type="author"><name><surname>Giovannucci</surname><given-names>Edward</given-names></name><xref ref-type="aff" rid="A35">35</xref><xref ref-type="aff" rid="A38">38</xref><xref ref-type="aff" rid="A85">85</xref></contrib><contrib contrib-type="author"><name><surname>Kraft</surname><given-names>Peter</given-names></name><xref ref-type="aff" rid="A35">35</xref><xref ref-type="aff" rid="A86">86</xref></contrib><contrib contrib-type="author"><name><surname>Huang</surname><given-names>Jinyan</given-names></name><xref ref-type="aff" rid="A35">35</xref></contrib><contrib contrib-type="author"><name><surname>Ma</surname><given-names>Baoshan</given-names></name><xref ref-type="aff" rid="A35">35</xref><xref ref-type="aff" rid="A87">87</xref></contrib><contrib contrib-type="author"><name><surname>Ye</surname><given-names>Yuanqing</given-names></name><xref ref-type="aff" rid="A28">28</xref></contrib><contrib contrib-type="author"><name><surname>Chiu</surname><given-names>Brian C H</given-names></name><xref ref-type="aff" rid="A88">88</xref></contrib><contrib contrib-type="author"><name><surname>Sampson</surname><given-names>Joshua</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Liang</surname><given-names>Liming</given-names></name><xref ref-type="aff" rid="A35">35</xref><xref ref-type="aff" rid="A86">86</xref></contrib><contrib contrib-type="author"><name><surname>Park</surname><given-names>Ju-Hyun</given-names></name><xref ref-type="aff" rid="A89">89</xref></contrib><contrib contrib-type="author"><name><surname>Chung</surname><given-names>Charles C</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Weisenburger</surname><given-names>Dennis D</given-names></name><xref ref-type="aff" rid="A90">90</xref></contrib><contrib contrib-type="author"><name><surname>Chatterjee</surname><given-names>Nilanjan</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Fraumeni</surname><given-names>Joseph F</given-names><suffix>Jr</suffix></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Slager</surname><given-names>Susan L</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Wu</surname><given-names>Xifeng</given-names></name><xref ref-type="aff" rid="A28">28</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib><contrib contrib-type="author"><name><surname>de Sanjose</surname><given-names>Silvia</given-names></name><xref ref-type="aff" rid="A61">61</xref><xref ref-type="aff" rid="A62">62</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib><contrib contrib-type="author"><name><surname>Smedby</surname><given-names>Karin E</given-names></name><xref ref-type="aff" rid="A91">91</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib><contrib contrib-type="author"><name><surname>Salles</surname><given-names>Gilles</given-names></name><xref ref-type="aff" rid="A5">5</xref><xref ref-type="aff" rid="A92">92</xref><xref ref-type="aff" rid="A93">93</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib><contrib contrib-type="author"><name><surname>Skibola</surname><given-names>Christine F</given-names></name><xref ref-type="aff" rid="A9">9</xref><xref ref-type="aff" rid="A10">10</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib><contrib contrib-type="author"><name><surname>Rothman</surname><given-names>Nathaniel</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib><contrib contrib-type="author"><name><surname>Chanock</surname><given-names>Stephen J</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref rid="FN3" ref-type="author-notes">95</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA</aff><aff id="A2"><label>2</label>Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA</aff><aff id="A3"><label>3</label>Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA</aff><aff id="A4"><label>4</label>Department of Hematology, Centre Léon Bérard, Lyon, France</aff><aff id="A5"><label>5</label>Laboratoire de Biologie Moléculaire de la Cellule UMR 5239, Centre National de la Recherche Scientifique, Pierre benite Cedex, France</aff><aff id="A6"><label>6</label>Genetic Cancer Susceptibility Group, Section of Genetics, International Agency for Research on Cancer, Lyon, France</aff><aff id="A7"><label>7</label>Department of Cancer Etiology, City of Hope Beckman Research Institute, Duarte, California, USA</aff><aff id="A8"><label>8</label>Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, Maryland, USA</aff><aff id="A9"><label>9</label>Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, Birmingham, Alabama, USA</aff><aff id="A10"><label>10</label>Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA</aff><aff id="A11"><label>11</label>Department of Medical Genetics and of Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands</aff><aff id="A12"><label>12</label>Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands</aff><aff id="A13"><label>13</label>Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, Baden-Württemberg, Germany</aff><aff id="A14"><label>14</label>Léon-Bérard Cancer Center, Cancer Research Center of Lyon, Lyon, France</aff><aff id="A15"><label>15</label>Environmental Epidemiology of Cancer Group, Inserm, Centre for Research in Epidemiology and Population Health (CESP), U1018, Villejuif, France</aff><aff id="A16"><label>16</label>UMRS 1018, Univ Paris Sud, Villejuif, France</aff><aff id="A17"><label>17</label>Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux Cedex, France</aff><aff id="A18"><label>18</label>Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA</aff><aff id="A19"><label>19</label>Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA</aff><aff id="A20"><label>20</label>Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA</aff><aff id="A21"><label>21</label>Genome Sciences Centre, BC Cancer Agency, Vancouver, British Columbia, Canada</aff><aff id="A22"><label>22</label>Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada</aff><aff id="A23"><label>23</label>Human Genetics Foundation, Turin, Italy</aff><aff id="A24"><label>24</label>Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia</aff><aff id="A25"><label>25</label>Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, Victoria, Australia</aff><aff id="A26"><label>26</label>Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark</aff><aff id="A27"><label>27</label>Department of Medicine, Stanford University School of Medicine, Stanford, California, USA</aff><aff id="A28"><label>28</label>Department of Epidemiology, M.D. Anderson Cancer Center, Houston, Texas, USA</aff><aff id="A29"><label>29</label>Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio, USA</aff><aff id="A30"><label>30</label>Department of Health Sciences, University of York, York, United Kingdom</aff><aff id="A31"><label>31</label>Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA</aff><aff id="A32"><label>32</label>Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia</aff><aff id="A33"><label>33</label>Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada</aff><aff id="A34"><label>34</label>School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada</aff><aff id="A35"><label>35</label>Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA</aff><aff id="A36"><label>36</label>MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom</aff><aff id="A37"><label>37</label>Department of Biomedical Science, University of Cagliari, Monserrato, Cagliari, Italy</aff><aff id="A38"><label>38</label>Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA</aff><aff id="A39"><label>39</label>Department of Population Health, New York University School of Medicine, New York, New York, USA</aff><aff id="A40"><label>40</label>Cancer Institute, New York University School of Medicine, New York, New York, USA</aff><aff id="A41"><label>41</label>Health Studies Sector, Westat, Rockville, Maryland, USA</aff><aff id="A42"><label>42</label>Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA</aff><aff id="A43"><label>43</label>Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA</aff><aff id="A44"><label>44</label>Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA</aff><aff id="A45"><label>45</label>Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA</aff><aff id="A46"><label>46</label>Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Minnesota, USA</aff><aff id="A47"><label>47</label>Centre National de Génotypage, Evry, France</aff><aff id="A48"><label>48</label>Centre Heni Becquerel, Rouen, France</aff><aff id="A49"><label>49</label>Department of Hematology, CHU Henri Mondor, Creteil, France</aff><aff id="A50"><label>50</label>Department of Pathology, AP-HP, Necker Enfants Malades, Université Paris Descartes, Sorbonne Paris Cité, France</aff><aff id="A51"><label>51</label>Department of Oncology and Pathology, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden</aff><aff id="A52"><label>52</label>Department of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala, Sweden</aff><aff id="A53"><label>53</label>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden</aff><aff id="A54"><label>54</label>Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, California, USA</aff><aff id="A55"><label>55</label>Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA</aff><aff id="A56"><label>56</label>Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, California, USA</aff><aff id="A57"><label>57</label>Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA</aff><aff id="A58"><label>58</label>Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</aff><aff id="A59"><label>59</label>Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA</aff><aff id="A60"><label>60</label>Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany</aff><aff id="A61"><label>61</label>Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d’Oncologia, IDIBELL, Barcelona, Spain</aff><aff id="A62"><label>62</label>Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain</aff><aff id="A63"><label>63</label>The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA</aff><aff id="A64"><label>64</label>Group of Genetic Epidemiology, Section of Genetics, International Agency for Research on Cancer, Lyon, France</aff><aff id="A65"><label>65</label>Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno, Czech Republic</aff><aff id="A66"><label>66</label>EA 4184, Registre des Hémopathies Malignes de Côte d’Or, University of Burgundy and Dijon University Hospital, Dijon, France</aff><aff id="A67"><label>67</label>School of Nursing and Human Sciences, Dublin City University, Dublin, Ireland</aff><aff id="A68"><label>68</label>Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA</aff><aff id="A69"><label>69</label>Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA</aff><aff id="A70"><label>70</label>Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia</aff><aff id="A71"><label>71</label>Pathology, Australian School of Advanced Medicine, Macquarie University, Sydney, New South Wales, Australia</aff><aff id="A72"><label>72</label>Department of Histopathology, Douglass Hanly Moir Pathology, Macquarie Park, New South Wales, Australia</aff><aff id="A73"><label>73</label>Department of Pathology, University of Melbourne, Parkville, Victoria, Australia</aff><aff id="A74"><label>74</label>Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland</aff><aff id="A75"><label>75</label>School of Public Health, Imperial College London, London, United Kingdom</aff><aff id="A76"><label>76</label>Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece</aff><aff id="A77"><label>77</label>Hellenic Health Foundation, Athens, Greece</aff><aff id="A78"><label>78</label>Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands</aff><aff id="A79"><label>79</label>Department of Epidemiology, German Institute for Human Nutrition, Potsdam, Germany</aff><aff id="A80"><label>80</label>Danish Cancer Society Research Center, Copenhagen, Denmark</aff><aff id="A81"><label>81</label>Hematology Unit, Ospedale Oncologico di Riferimento Regionale A. Businco, Cagliari, Italy</aff><aff id="A82"><label>82</label>Department of Surgery and Translational Medicine, Section of Anatomo-Pathology, University of Florence, Florence, Italy</aff><aff id="A83"><label>83</label>Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy</aff><aff id="A84"><label>84</label>Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA</aff><aff id="A85"><label>85</label>Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA</aff><aff id="A86"><label>86</label>Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA</aff><aff id="A87"><label>87</label>College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China</aff><aff id="A88"><label>88</label>Department of Health Studies, University of Chicago, Chicago, Illinois, USA</aff><aff id="A89"><label>89</label>Dongguk University-Seoul, Seoul, South Korea</aff><aff id="A90"><label>90</label>Department of Pathology, City of Hope National Medical Center, Duarte, California, USA</aff><aff id="A91"><label>91</label>Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden</aff><aff id="A92"><label>92</label>Department of Hematology, Hospices Civils de Lyon, Pierre benite Cedex, France</aff><aff id="A93"><label>93</label>Department of Hematology, Université Lyon-1, Pierre benite Cedex, France</aff><author-notes><corresp id="FN1">Correspondence should be addressed to: James R. Cerhan, M.D., Ph.D., Mayo Clinic, 200 First Street SW, Rochester, MN 55905, Phone: 507.538.0499, Fax: 507.226.2478, <email>cerhan.james@mayo.edu</email></corresp><fn id="FN2" fn-type="equal"><label>94</label><p>These authors contributed equally to this work.</p></fn><fn id="FN3"><label>95</label><p>These authors jointly directed this work.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>9</day><month>9</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>28</day><month>9</month><year>2014</year></pub-date><pub-date pub-type="ppub"><month>11</month><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>5</month><year>2015</year></pub-date><volume>46</volume><issue>11</issue><fpage>1233</fpage><lpage>1238</lpage><pmc-comment>elocation-id from pubmed: 10.1038/ng.3105</pmc-comment>
<permissions><license xlink:href="http://www.nature.com/authors/editorial_policies/license.html#terms"><license-p>Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:<ext-link ext-link-type="uri" xlink:href="http://www.nature.com/authors/editorial_policies/license.html#terms">http://www.nature.com/authors/editorial_policies/license.html#terms</ext-link></license-p></license></permissions></article-meta></front><body><sec id="S1"><title>Introductory Paragraph</title><p id="P1">Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of three new genome-wide association studies (GWAS) and one prior scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of nine promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (<italic>EXOC2; P</italic>=2.33×10<sup>−21</sup>), rs2523607 at 6p21.33 (<italic>HLA-B</italic>; 2.40×10<sup>−10</sup>), rs79480871 at 2p23.3 (<italic>NCOA1; P</italic>=4.23×10<sup>−8</sup>), and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (<italic>PVT1; P</italic>=9.98×10<sup>−13</sup> and <italic>P</italic>=3.63×10<sup>−11</sup>, respectively). These data provide substantial new evidence for genetic susceptibility to this B-cell malignancy, and point towards pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.</p><p id="P2">Diffuse large B-cell lymphoma (DLBCL), the most common subtype of non-Hodgkin lymphoma (NHL)<sup><xref rid="R1" ref-type="bibr">1</xref></sup>, has an aggressive clinical course<sup><xref rid="R2" ref-type="bibr">2</xref></sup>. The risk of DLBCL is increased in individuals with a family history of NHL (odds ratio (OR)=1.4; 95%CI 1.1–2.0)<sup><xref rid="R3" ref-type="bibr">3</xref></sup>, supporting a genetic contribution. Also, relatives of DLBCL patients are at elevated risk for both DLBCL (RR=9.8, 95%CI 3.1–31) and Hodgkin lymphoma (HL, RR=2.0, 95%CI 1.05–4.0), but not indolent lymphomas<sup><xref rid="R4" ref-type="bibr">4</xref></sup>. Among candidate gene studies investigating susceptibility to DLBCL, only one locus, the <italic>LTA</italic>252G/<italic>TNF</italic>-308A haplotype on chromosome 6p21, reached genome-wide significance (<italic>P=</italic>2.9×10<sup>−8</sup>)<sup><xref rid="R5" ref-type="bibr">5</xref></sup>. In small GWAS of all NHL subtypes combined, no conclusive loci for NHL or DLBCL were identified in individuals of European background<sup><xref rid="R6" ref-type="bibr">6</xref>–<xref rid="R9" ref-type="bibr">9</xref></sup>, whereas a recent study conducted in East Asia identified a locus at 3q27<sup><xref rid="R10" ref-type="bibr">10</xref></sup>.</p><p id="P3">To discover new DLBCL susceptibility loci, in stage 1, we genotyped 2,878 DLBCL cases and 2,854 controls of European ancestry from 22 studies using the Illumina OmniExpress Beadchip (<bold>Online Methods</bold>; <xref rid="SD2" ref-type="supplementary-material">Supplementary Table 1</xref>; <xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 1</xref>). A total of 5,346 (93.3%) samples and 611,844 SNPs successfully passed rigorous quality control criteria (<bold>Online Methods</bold>; <xref rid="SD2" ref-type="supplementary-material">Supplementary Table 2</xref>). To augment the number of controls, genotype data from 3,536 cancer-free controls previously analyzed with the Omni2.5 SNP microarray were folded into the analytical build<sup><xref rid="R11" ref-type="bibr">11</xref></sup>, resulting in a total of 2,661 cases and 6,221 controls for the stage 1 GWAS analysis (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 2</xref>).</p><p id="P4">In stage 1, with adjustment for gender, age and four eigenvectors (<bold>Online Methods</bold>), we observed an enrichment of SNPs with smaller <italic>P</italic>-values compared to the null distribution in the Q-Q plot with a lambda of 1.016 (<xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 2</xref>). Two SNPs exceeded the threshold for genome-wide significance (<italic>P</italic><5×10<sup>−8</sup>) whereas 20 SNPs showed highly suggestive associations (<italic>P</italic><5×10<sup>−7</sup>) (<xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 3</xref>). All but one SNP mapped to the HLA region of chromosome 6 (29.5Mb to 33.2Mb on Human Genome version 19 coordinates).</p><p id="P5">In stage 2, we included data from two unpublished and previously genotyped GWAS (GELA/EPIC and Mayo) plus one published GWAS (UCSF<sup><xref rid="R7" ref-type="bibr">7</xref></sup>), totaling 1,196 DLCBL cases and 1,445 controls (<bold>Online Methods</bold>; <xref rid="SD2" ref-type="supplementary-material">Supplementary Tables 1, 3</xref>). Because different genotyping platforms were used, we imputed common SNPs for each study based on the 1000 Genomes Project release version 3<sup><xref rid="R12" ref-type="bibr">12</xref></sup> and IMPUTE2<sup><xref rid="R13" ref-type="bibr">13</xref></sup> (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 4</xref>). In meta-analysis of all genotyped and high-quality imputed SNPs from stages 1 and 2 (N=8,363,971), we identified 19 SNPs at genome-wide significance (<italic>P</italic><5×10<sup>−8</sup>) (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 5</xref>) and 134 SNPs at a suggestive level of significance (<italic>P</italic><5×10<sup>−7</sup>) (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 6</xref>); 123 of the 153 total SNPs mapped to the HLA region on chromosome 6. Based on these results, we selected and successfully designed TaqMan primers for eight promising SNPs (<italic>P</italic><5×10<sup>−6</sup>) outside the HLA region and one SNP from the HLA region for stage 3 <italic>de novo</italic> genotyping in an additional 1,359 DLBCL cases and 4,557 controls (<bold>Online Methods</bold>; <xref rid="SD2" ref-type="supplementary-material">Supplementary Tables 1, 3</xref>).</p><p id="P6">In a meta-analysis of all three stages (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 7</xref>), we identified four non-HLA SNPs in three novel loci at 6p25.3 (rs116446171, <italic>P</italic>=2.33×10<sup>−21</sup>) near <italic>EXOC2</italic>, 8q24.21 (rs13255292, <italic>P</italic>=9.98×10<sup>−13</sup>; rs4733601, <italic>P</italic>=3.63×10<sup>−11</sup>) near <italic>PVT1</italic> and <italic>MYC</italic>, and 2p23.3 (rs79480871, <italic>P</italic>=4.23×10<sup>−8</sup>) near <italic>NCOA1</italic> (<xref rid="T1" ref-type="table">Table 1</xref>; <xref rid="F1" ref-type="fig">Figures 1a–c</xref>). The two 8q24.21 SNPs displayed minimal linkage disequilibrium (LD, r<sup>2</sup>=0.03 in 1000 Genomes CEU population). Furthermore, in conditional analysis, both rs13255292 (conditional OR=1.22, <italic>P</italic> =1.39×10<sup>−12</sup>) and rs4733601 (conditional OR=1.18, <italic>P</italic> =2.84×10<sup>−10</sup>) remained genome-wide significant; together these data support the presence of two independent SNPs associated with DLBCL at 8q24.21. We also observed two suggestive SNPs (<italic>P</italic><5×10<sup>−7</sup>) (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 8</xref>), one at 5q31.3 (rs79464052, <italic>P</italic>=5.57×10<sup>−8</sup>) in <italic>ARAP3</italic> (<xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 4</xref>), and one at 3q13.33 (rs2681416), although the latter SNP did not replicate in stage 2 or 3.</p><p id="P7">Within the HLA region, rs2523607 (<italic>P</italic>=3.35×10<sup>−9</sup>) was carried forward for replication in stage 3. This SNP, localized at 6p21 in <italic>HLA-B</italic>, reached a combined <italic>P</italic>=2.40×10<sup>−10</sup> in a meta-analysis of all three stages (<xref rid="T1" ref-type="table">Table 1</xref>; <xref rid="F1" ref-type="fig">Figure 1d</xref>). To further evaluate the association of HLA variants with DLBCL risk, we imputed classical HLA alleles at six loci (<italic>HLA</italic>-<italic>A, B, C, DRB1, DQA1,</italic> and <italic>DQB1</italic>) in the four GWAS datasets from stages 1–2 and conducted a meta-analysis (<bold>Online Methods</bold>). The imputation accuracy of HLA types was high (>95.2%) when compared to HLA sequencing (four-digit resolution) previously performed on a subset of the NCI samples<sup><xref rid="R14" ref-type="bibr">14</xref></sup> scanned as part of this study in stage 1 (<bold>Online Methods</bold>). Of all SNPs and classical HLA alleles tested across the MHC, only the SNP rs2523607 (OR=1.34, <italic>P</italic>=3.3×10<sup>−9</sup> in stages 1 and 2) and the classical allele <italic>HLA-B*08:01</italic> (OR=1.30, <italic>P</italic>=3.16×10<sup>−8</sup> in stages 1 and 2) reached genome-wide significance (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 9</xref>). These markers were in very high LD (r<sup>2</sup>=0.91), and after adjusting for the effect of <italic>HLA-B*08:01</italic>, the association of rs2523607 was greatly weakened (<italic>P</italic>=5.5×10<sup>−3</sup>).</p><p id="P8">To gain additional insight into potential biological mechanisms, expression quantitative trait loci (eQTL) analyses were performed in two datasets consisting of lymphoblastoid cell lines (<bold>Online Methods</bold>). In one of the datasets, significant associations were observed for rs116446171 with <italic>HIST1H3F</italic> and rs2523607 with <italic>HCG27</italic> (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 10</xref>), while in the other dataset significant associations (FDR<0.05) were observed for rs2523607 (using rs3130923 as a proxy, r<sup>2</sup>=0.94) with <italic>LY6G6E, FLOT1,</italic> and <italic>RNF5</italic> (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 11</xref>); no associations were observed for the other DLBCL-associated loci.</p><p id="P9">To explore plausible mechanisms for the non-coding variants identified in our GWAS, the sentinel SNPs and those in high linkage disequilibrium (r<sup>2</sup>≥0.8) in Europeans in the 1000 Genomes Project were analyzed using HaploReg v2<sup><xref rid="R15" ref-type="bibr">15</xref></sup> (<bold>Online Methods</bold>; <xref rid="SD2" ref-type="supplementary-material">Supplementary Table 12</xref>). In addition, B-cell specific chromatin dynamics were assessed in a lymphoblastoid cell line (GM12878) using ChroMoS<sup><xref rid="R16" ref-type="bibr">16</xref></sup>, which utilizes the pre-computed chromatin state data for 9 cell lines (including GM12878)<sup><xref rid="R17" ref-type="bibr">17</xref></sup>. Of the 173 SNPs queried, 61 had information for GM12878 (<xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 5</xref>), and 3 SNPs were identified as active or weak promoters only in GM12878, while 22 SNPs were identified as strong or weak enhancers in GM12878. In the other 8 cell lines, these regions were mostly defined as neutral, weakly transcribed or polycomb repressed. These results suggest that some of our SNPs are within regions of active chromatin state predominantly within B cells and have a role in the B-cell cis-regulatory network. These results are consistent with growing evidence that disease variants from GWAS are more likely to map to active chromatin sites than neutral sites, as was shown recently for systemic lupus erythematosus<sup><xref rid="R17" ref-type="bibr">17</xref></sup>. HaploReg showed that the majority of DLBCL-related SNPs were observed in regions of DNAse hypersensitivity common across multiple cell lines (e.g., rs116446171, rs2523607, rs13255292, rs4733601 near <italic>EXOC2</italic>, <italic>HLA-B</italic>, <italic>PVT1</italic> or <italic>7SK</italic>) whereas rs147193201 was specific to B-cells. The preponderance of DNAse hypersensitivity points to the existence of motifs, such as enhancers, silencers, promoters, insulators and other control elements of gene regulation. The proteins bound at these sites are known transcription factors such as NF-κB, c-MYC, GATA2 or genes that regulate transcription such as <italic>POL24H8</italic>, <italic>USF1</italic> or <italic>POL2</italic>. These suggested mechanisms of action will require laboratory follow-up.</p><p id="P10">The susceptibility locus at 6p25.3 (rs116446171) maps near a plausible DLBCL candidate gene, <italic>EXOC2</italic> (exocyst complex component 2), which is part of a large multiprotein complex responsible for vesicle trafficking and maintenance and intercellular transfer of viral proteins and virions<sup><xref rid="R18" ref-type="bibr">18</xref></sup>. <italic>EXOC2</italic> functions at the interface between host defense and cell death regulation<sup><xref rid="R19" ref-type="bibr">19</xref></sup>. EXOC2 interacts with Ral proteins, and the Ral-exocyst regulatory node has a crucial role in the maintenance of epithelial cell polarity, cell motility and cytokinesis<sup><xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R21" ref-type="bibr">21</xref></sup>, and in proliferation and metastasis<sup><xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R22" ref-type="bibr">22</xref></sup>. It is notable that <italic>IRF4</italic> is centromeric to <italic>EXOC2</italic> and genetic variation in this region has been linked with chronic lymphocytic leukemia (CLL) risk<sup><xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup>, and nominally to DLBCL risk<sup><xref rid="R25" ref-type="bibr">25</xref></sup>. However, rs116446171 was not in LD with the <italic>IRF4</italic> CLL GWAS SNP rs872071<sup><xref rid="R23" ref-type="bibr">23</xref></sup>.</p><p id="P11">Two 8q24.21 variants (<xref rid="F1" ref-type="fig">Figure 1b</xref>), rs13255292 and rs4736601 positioned at chr8:129.07Mb and chr8:129.26Mb, respectively, are approximately 1Mb telomeric to the 8q24 region linked with multiple cancers<sup><xref rid="R26" ref-type="bibr">26</xref></sup>, including CLL<sup><xref rid="R27" ref-type="bibr">27</xref></sup>. Both variants are in close proximity to <italic>PVT1</italic>, which is a non-coding RNA implicated in the MYC activation. Notably, a variant at 8q24.21 (rs2019960) has been linked to HL<sup><xref rid="R28" ref-type="bibr">28</xref></sup>, but the pair-wise r<sup>2</sup> values of this SNP with both of our SNPs were low (r<sup>2</sup><0.02). The close proximity of <italic>PVT1</italic> and the <italic>MYC</italic> oncogene, which is known to be deregulated in Burkitt lymphoma<sup><xref rid="R29" ref-type="bibr">29</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup> and some DLBCLs <sup><xref rid="R31" ref-type="bibr">31</xref>,<xref rid="R32" ref-type="bibr">32</xref></sup>, suggests that germline variation in this region could also contribute to DLBCL risk.</p><p id="P12">The susceptibility locus at 2p23.3 (rs79480871) maps near <italic>NCOA1</italic>, nuclear receptor coactivator 1 and <italic>ITSN2</italic>, intersectin 2. The former gene acts as a transcriptional coactivator for steroid and nuclear hormone receptors and is a member of the p160/steroid receptor coactivator (SRC) family<sup><xref rid="R33" ref-type="bibr">33</xref></sup>, while the latter gene encodes a protein that is a member of a family of proteins involved in clathrin-mediated endocytosis<sup><xref rid="R34" ref-type="bibr">34</xref></sup> and may also augment the induction of T-cell receptor endocytosis<sup><xref rid="R35" ref-type="bibr">35</xref></sup>. However, our bioinformatics analysis did not identify a clear link to genes in this region, supporting the need to refine this signal in future work.</p><p id="P13">Through imputation with SNP2HLA,<sup><xref rid="R36" ref-type="bibr">36</xref></sup> our strongest associations in the HLA region were with the <italic>HLA-B</italic> SNP rs2523607 and <italic>HLA-B*08:01</italic>, which are in very high LD, and based on our available sample size we cannot definitively rule out an orthogonal effect of rs2523607 in favor of <italic>HLA-B*08:01. HLA-B</italic> encodes the HLA class I heavy chain paralogue, which heterodimerizes with a light chain (β<sub>2</sub> microglobulin) to play a central role in presenting intracellularly processed self or foreign antigens to CD8<sup>+</sup> cytotoxic T lymphocytes. Class I molecules have been linked to a variety of immune-mediated diseases and cancers including HL, follicular lymphoma, DLBCL<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R37" ref-type="bibr">37</xref>,<xref rid="R38" ref-type="bibr">38</xref></sup>, and more recently marginal zone lymphoma (Vijai, submitted). Our results strongly suggest <italic>HLA-B*08:01</italic> as the primary MHC association with DLBCL risk. This classical allele is carried by the so-called ancestral 8.1 haplotype associated with other complex diseases (e.g., type I diabetes).<sup><xref rid="R39" ref-type="bibr">39</xref></sup> Classical alleles of other HLA loci may also be involved (including those on the 8.1 haplotype), but larger sample sizes will be required to evaluate this question.</p><p id="P14">Our study represents the largest DLBCL GWAS in individuals of European descent. We did not observe a notable signal for a locus previously reported for DLBCL on 3q27 in East Asia<sup><xref rid="R10" ref-type="bibr">10</xref></sup>, rs6773854 (reported as OR=1.47, <italic>P</italic>=1.14×10<sup>−11</sup>), which was based on a discovery set of 253 B-cell NHL cases (148 DLBCLs). Although our current study had a similar MAF of 0.22 among controls, we observed an OR=1.06 and a <italic>P</italic>-value of 0.81 for this SNP (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 13</xref>), suggesting that the reported marker may not be correlated with the functional susceptibility allele in Europeans. Of the two suggestive loci (<italic>P</italic><5×10<sup>−7</sup>) reported in the literature<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R40" ref-type="bibr">40</xref></sup>, we did not observe an association for rs751837 with DLBCL (OR=0.97, <italic>P</italic>=0.46), identified in a small Japanese GWAS (OR=3.51, <italic>P</italic>=3.3×10<sup>−7</sup>)<sup><xref rid="R40" ref-type="bibr">40</xref></sup>, but we did observe a consistent albeit attenuated association for rs10484561 (OR=1.18, <italic>P</italic>=1.5×10<sup>−4</sup>) which was initially reported on a subset of the studies in stage 1 (OR=1.36, <italic>P</italic>=1.46×10<sup>−7</sup>)<sup><xref rid="R8" ref-type="bibr">8</xref></sup>. Previously, an InterLymph study of ~1,800 DLBCLs and ~6,500 controls reported a strong signal for a dinucleotide haplotype in the <italic>LTA</italic>/<italic>TNF</italic> locus (<italic>LTA</italic> 252A>G/<italic>TNF</italic>–308G>A) at 6p21.3 (OR=1.31, <italic>P</italic>=2.9 x10<sup>−8</sup>)<sup><xref rid="R5" ref-type="bibr">5</xref></sup>. Although nearly all of the cases from the previous publication were included in our current GWAS, the signal we observed overall was weaker (OR=1.15, <italic>P</italic>=8.5×10<sup>−4</sup>). The attenuation was not explained by study design (case-control, cohort) or adjustment for population substructure (data not shown), but could be due to population sampling differences, heterogeneity, or chance.</p><p id="P15">To explore the heritability of DLBCL, we estimated the contribution of all common SNPs to the variance explained by fitting all genotyped autosomal SNPs simultaneously using the method proposed by Yang et al<sup><xref rid="R41" ref-type="bibr">41</xref></sup> in the Stage 1 dataset. We estimated that common SNPs, including but not limited to the loci discovered in this study, explain approximately 16% of the variance for DLBCL overall.</p><p id="P16">In summary, our findings represent an important step in defining the contribution of common genetic variants to risk for DLBCL. Our findings are notable because we have newly defined associations of several regions with susceptibility to DLBCL, and these regions harbor plausible candidate genes for further investigation. Further studies are required to discover additional common susceptibility loci as well as functional analyses that can explain the biological underpinnings of these new susceptibility loci.</p></sec><sec id="S2" specific-use="web-only"><title>ONLINE METHODS</title><sec id="S3"><title>Stage 1: DLBCL-GWAS</title><p id="P17">As part of a larger initiative, we conducted a genome-wide association study (GWAS) of diffuse large B-cell lymphoma (DLBCL) using cases and controls of European descent from 22 studies of non-Hodgkin lymphoma (NHL) (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 1</xref>), including nine prospective cohort studies, eight population-based case-control studies, and five clinic or hospital-based case-control studies. All studies were approved by their respective Institutional Review Boards, and informed consent was obtained for all participants. Cases were ascertained from cancer registries, clinics or hospitals, or through self-report verified by medical and pathology reports. To determine NHL subtype, phenotype data for all NHL cases were harmonized to the hierarchical classification proposed by the InterLymph Pathology Working Group<sup><xref rid="R42" ref-type="bibr">42</xref>,<xref rid="R43" ref-type="bibr">43</xref></sup> based on the World Health Organization (WHO) classification<sup><xref rid="R44" ref-type="bibr">44</xref></sup>.</p><p id="P18">All DLBCL cases with sufficient DNA (n=2,878) and a subset of controls (n=2,854) frequency matched by age, sex, and study to the entire group of NHL cases, along with 4% quality control duplicates, were genotyped on the Illumina OmniExpress at the NCI Cancer Genomic Research Laboratory (CGR). Genotypes were called using Illumina GenomeStudio software, and quality control duplicates showed >99% concordance. Monomorphic SNPs and SNPs with a call rate of <95% were excluded. Samples with a call rate of ≤93%, mean heterozygosity <0.25 or >0.33 based on the autosomal SNPs, or gender discordance (>5% heterozygosity on X chromosome for males and <20% heterozygosity on the X chromosome for females) were excluded. Furthermore, unexpected duplicates (>99.9% concordance) and first-degree relatives based on identity by descent (IBD) sharing with Pi-hat>0.40 were excluded. Ancestry was assessed using the GLU <italic>struct.admix</italic> module based on the method by Pritchard et al.<sup><xref rid="R45" ref-type="bibr">45</xref></sup> and participants with <80% European ancestry were excluded (<xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 6</xref>). After exclusions, 2,661 (92.5%) cases and 2,685 (94.1%) controls remained (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 2</xref>). Genotype data previously generated on the Illumina Omni2.5 from an additional 3,536 controls from three of the studies (ATBC, CPSII, and PLCO) were also included<sup><xref rid="R11" ref-type="bibr">11</xref></sup>, resulting in a total of 2,661 cases and 6,221 controls for the stage 1 analysis. Of these additional 3,536 controls, 703 (~235 from each study) were selected to be representative of their cohort and cancer-free<sup><xref rid="R11" ref-type="bibr">11</xref></sup>, while the remainder were cancer-free controls from an unpublished study of prostate cancer in the PLCO. SNPs with call rate <95%, with Hardy-Weinberg equilibrium <italic>P</italic>-value<1×10<sup>−6</sup>, or with a minor allele frequency <1% were excluded from analysis, leaving 611,844 SNPs for analysis (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 4</xref>). To evaluate population substructure, a principal components analysis (PCA) was performed using the Genotyping Library and Utilities (GLU), version 1.0, <italic>struct.pca</italic> module, which is similar to EIGENSTRAT<sup><xref rid="R46" ref-type="bibr">46</xref></sup>. Plots of the first five principal components are shown in <xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 7</xref>. Association testing was conducted assuming a log-additive genetic model, adjusting for age, sex, and four significant principal components. All data analysis and management was conducted using GLU.</p></sec><sec id="S4"><title>Stage 2: In Silico Analysis of Three Independent DLBCL GWAS</title><p id="P19">Three independent DLBCL GWAS provided genotyping data for a meta-analysis, (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 1</xref>), which included data generated with the following commercial, SNP microarrays: Illumina HumanHap 660W for Mayo (393 DLBCL and 172 controls), HumanCNV370-Duo for UCSF<sup><xref rid="R7" ref-type="bibr">7</xref></sup> (254 DLBCLs and 748 controls), and HumanHap 610K for GELA (549 cases). In all studies, subjects with a genotyping call rate <95%, duplicates, related individuals, and SNPs with a call rate <95% were removed prior to imputation (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 4</xref>). The GELA study was conducted on cases only; controls were drawn from a pool of 928 individuals from the French component of the EPIC cohort, who were previously scanned on Illumina HumanHap 660W or 610K<sup><xref rid="R47" ref-type="bibr">47</xref>,<xref rid="R48" ref-type="bibr">48</xref></sup>. We subsequently chose a subset of 525 individuals with matched ancestry as determined from the principal components analysis. In total, there were 1,196 cases and 1,445 controls in stage 2.</p><p id="P20">Imputation was conducted separately for each study in stages 1 and 2 using IMPUTE2<sup><xref rid="R13" ref-type="bibr">13</xref></sup> and the 1000 Genomes Project version 3<sup><xref rid="R12" ref-type="bibr">12</xref></sup>. The imputation analysis was restricted to common SNPs (cut-off MAF>0.01 with imputation accuracy INFO score >0.3).</p><p id="P21">Association testing was conducted for each study using SNPTEST version 2, adjusting for age, sex, and any significant principal components. We evaluated the top 10 eigenvectors for the GELA, Mayo and UCSF studies, respectively, in each baseline risk model adjusting for both age and gender. Based on the significance level (<italic>P</italic><0.05) of the regression coefficient for eigenvectors, we chose to adjust for three eigenvectors (EV1, EV7 and EV8) for GELA in the final association model, while no eigenvectors met criteria for adjustment of either the Mayo or UCSF studies.</p><p id="P22">All meta-analyses were performed using the fixed effects inverse variance method based on the beta estimates and standard errors from each study.</p></sec><sec id="S5"><title>Stage 3: Replication studies and technical validation</title><p id="P23">In stage 3, eight SNPs in the most promising loci outside of the HLA region and one SNP from the HLA region (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 7</xref>) were taken forward for <italic>de novo</italic> replication in an additional 1359 cases and 4557 controls from four studies (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 1</xref>), except for rs2523607, which was not genotyped in one of the studies (NCI replication). Genotyping was conducted using custom TaqMan genotyping assays (Applied Biosystems) at the NCI Cancer Genomics Research Laboratory. Each assay was optimized and validated with 270 HapMap samples and additional CEPH samples (SNP500Cancer), and these samples were used as genotyping controls for clustering and reproducibility. All validated assays had 99% or higher concordance with HapMap and completion with control DNA was >97%. Blind duplicates from stage 3 samples (64 pairs; ~3%) yielded 100% concordance.</p><p id="P24">In technical validation, we observed a high correlation of genotyping calls from the OmniExpress microarray with confirmatory TaqMan assays in 455 stage 1 duplicate samples for two genotyped (rs13255292, r<sup>2</sup>=1.00; rs4733601, r<sup>2</sup>=1.00) and four imputed (rs116446171, r<sup>2</sup>=0.92; rs2523607, r<sup>2</sup>=0.99; rs2681416, r<sup>2</sup>=1.00; rs79480871, r<sup>2</sup>=0.94) SNPs. We also observed a high correlation of genotyping calls from the Illumina HumanHap 660W microarray with confirmatory TaqMan assays in stage 2 duplicate samples from the Mayo study (N=165) for two genotyped (rs13255292, r<sup>2</sup>=1.00; rs4733601, r<sup>2</sup>=1.00) and four imputed (rs116446171, r<sup>2</sup>=1.00; rs2523607, r<sup>2</sup>=1.00; rs79480871, r<sup>2</sup>=0.85; rs79464052, r<sup>2</sup>=0.95) SNPs.</p></sec><sec id="S6"><title>HLA imputations and analysis</title><p id="P25">We imputed dense SNPs as well as classical HLA alleles (<italic>A, B, C, DRB1, DQA1, DQB1</italic>) and coding variants across the HLA region (chr6:29.5–33.2Mb, hg19) in the stage 1 (NCI) and stage 2 (MAYO, USCF2 and GELA/EPIC) studies using SNP2HLA<sup><xref rid="R36" ref-type="bibr">36</xref></sup>. The imputation was based on a reference panel from the Type 1 Diabetes Genetics Consortium (T1DGC), and consisted of genotypes from 5,225 individuals of European descent who were typed for <italic>HLA-A, B, C, DQA1, DQB1, DRB1, DPA1, DPB1</italic> 4 digit alleles. To assess imputation accuracy, we compared the imputed HLA alleles to HLA sequencing data (to 4 digits) available on a subset of samples from the NCI GWAS<sup><xref rid="R14" ref-type="bibr">14</xref></sup>, and found high concordance rates for <italic>HLA-A</italic> (97.3%)<italic>, B</italic> (98.5%)<italic>, C</italic> (98.1%) and <italic>DRB1</italic> (97.5%). Due to the limited number of SNPs (N=7,253) in the T1DGC reference set, imputation of HLA SNPs was conducted with IMPUTE2 and the 1000 Genomes reference set as described above. A total of 68,488 SNPs, 201 classical HLA alleles (two- and four-digit resolution) and 1,038 AA markers including 103 AA positions that were ‘multi-allelic’ with three to six different residues present at each position, were successfully imputed (info score >0.3 for SNPs or <italic>r</italic><sup>2</sup>>0.3 for alleles and AAs) and available for analysis. Multi-allelic markers were analyzed as binary markers (e.g., allele present or absent) and using a global test, and a meta-analysis was conducted where we tested SNPs, HLA alleles and AAs across the HLA region for association with DLBCL using PLINK<sup><xref rid="R49" ref-type="bibr">49</xref></sup> or SNPTEST as described above.</p></sec><sec id="S7"><title>Expression quantitative trait loci (eQTL) analysis</title><p id="P26">To evaluate the effect of our top loci (and SNPs in LD based on r<sup>2</sup>>0.8 in HapMap-CEU release 28) on gene expression, we conducted an eQTL analysis on lymphoblastoid cell lines using two independent datasets: Childhood asthma<sup><xref rid="R50" ref-type="bibr">50</xref></sup> and HapMap<sup><xref rid="R51" ref-type="bibr">51</xref></sup>. For the childhood asthma dataset <sup><xref rid="R50" ref-type="bibr">50</xref></sup>, peripheral blood lymphocytes were transformed into lymphoblastoid cell lines for 830 parents and offspring from 206 families of European ancestry. Using extracted RNA, gene expression was assessed with the Affymetrix HG-U133 Plus 2.0 chip. Genotyping was conducted using the Illumina Human1M Beadchip and Illumina HumanHap300K Beadchip, and imputation was performed using data from the 1kGP. All SNPs selected for replication were tested for <italic>cis</italic> associations (defined as gene transcripts within 1 Mb), assuming an additive genetic model, adjusting for non-genetic effects in the gene expression value. To gain insight into the relative importance of associations with our SNPs compared to other SNPs in the region, we also conducted conditional analyses, in which both the DLBCL SNP and the most significant SNP for the particular gene transcript (i.e., peak SNP) were included in the same model. Only <italic>cis</italic> associations that reached <italic>P</italic><6.8×10<sup>−5</sup>, which corresponds to a false-discovery rate (FDR) of 1%, are reported (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 10</xref>).</p><p id="P27">The HapMap dataset consisted of a publicly available RNAseq dataset<sup><xref rid="R51" ref-type="bibr">51</xref></sup> from transformed lymphoblastoid cell lines from 41 CEPH Utah residents with ancestry from northern and western Europe (HapMap-CEU), samples available from the Gene Expression Omnibus (GEO) repository (<ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/geo">http://www.ncbi.nlm.nih.gov/geo</ext-link>) under accession number GSE16921. Genotyping data for the same HapMap-CEU individuals were directly downloaded from HapMap (<ext-link ext-link-type="uri" xlink:href="www.hapmap.org">www.hapmap.org</ext-link>). Since rs2523607, rs79480871 and rs116446171 were not genotyped in HapMap, we selected rs3130923, rs6746301 and rs7762424 as respective proxies, as they were the strongest linked SNPs available in HapMap (<italic>r</italic><sup>2</sup>=0.94, 0.69 and 0.54 in 1kGP-CEU, respectively). Correlation between expression and genotype for each SNP-probe pair was tested using the Spearman’s rank correlation test with t-distribution approximation and were estimated with respect to the minor allele in HapMap-CEU. <italic>P</italic>-values were adjusted using the Benjamini-Hochberg false-discovery rate (FDR) correction and eQTLs were considered significant at an FDR≤0.05 (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 11</xref>).</p></sec><sec id="S8"><title>Bioinformatics: ENCODE and Chromatin State Dynamics</title><p id="P28">Using 1000 Genomes data, we identified SNPs with r<sup>2</sup>≥0.8 with our sentinel SNP that were reported to be non-synonymous or nonsense variants. We utilized HaploReg v2<sup><xref rid="R15" ref-type="bibr">15</xref></sup>, which is a tool for exploring non-coding functional annotation using ENCODE data, to evaluate the genome surrounding our SNPs (<xref rid="SD2" ref-type="supplementary-material">Supplementary Table 12</xref>). To assess chromatin state dynamics, we used Chromos<sup><xref rid="R16" ref-type="bibr">16</xref></sup>, which has pre-computed data from ENCODE on 9 cell types based on Chip-Seq analyses<sup><xref rid="R17" ref-type="bibr">17</xref></sup>. These pre-computed data have genome-segmentation performed using multivariate hidden Markov-model to reduce the combinatorial space to a set of interpretable chromatin states. The output from Chromos separates data into 15 chromatin states corresponding to repressed, poised and active promoters, strong and weak enhancers, putative insulators, transcribed regions, and large-scale repressed and inactive domains (<xref rid="SD1" ref-type="supplementary-material">Supplementary Figure 5</xref>).</p></sec><sec id="S9"><title>Heritability analyses</title><p id="P29">To estimate the contribution of all common SNPs to the variance explained, we used the method proposed by Yang et al<sup><xref rid="R41" ref-type="bibr">41</xref></sup>, which was extended to dichotomous traits<sup><xref rid="R52" ref-type="bibr">52</xref></sup> and implemented in the Genome-wide Complex Trait Analysis (GCTA) software<sup><xref rid="R53" ref-type="bibr">53</xref></sup>. The genetic similarity matrix was estimated from our stage 1 data using all genotyped autosomal SNPs with a minor allele frequency >0.01. We used restricted maximum likelihood (REML), the default option for GCTA, to fit the appropriate variance components model that included the top 10 eigenvectors as covariates. The final estimate of heritability on the underlying liability scale assumed that the lifetime risk of DLBCL was 0.0074<sup><xref rid="R54" ref-type="bibr">54</xref></sup>.</p></sec><sec id="S10"><title>Estimate of recombination hotspots</title><p id="P30">To identify recombination hotspots in the region we used SequenceLDhot<sup><xref rid="R55" ref-type="bibr">55</xref></sup>, a program that uses the approximate marginal likelihood method<sup><xref rid="R56" ref-type="bibr">56</xref></sup> and calculates likelihood ratio statistics at a set of possible hotspots. We tested five unique sets of 100 control samples. PHASE v2.1 program was used to calculate background recombination rates<sup><xref rid="R57" ref-type="bibr">57</xref>,<xref rid="R58" ref-type="bibr">58</xref></sup> and LD heatmap was visualized in r2 using snp.plotter program<sup><xref rid="R59" ref-type="bibr">59</xref></sup>.</p></sec></sec><sec sec-type="supplementary-material" id="S11"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>1</label><media xlink:href="NIHMS626189-supplement-1.docx" orientation="portrait" xlink:type="simple" id="d37e2600" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD2"><label>2</label><media xlink:href="NIHMS626189-supplement-2.xlsx" orientation="portrait" xlink:type="simple" id="d37e2604" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD3"><label>3</label><media xlink:href="NIHMS626189-supplement-3.docx" orientation="portrait" xlink:type="simple" id="d37e2608" position="anchor"></media></supplementary-material></sec></body><back><ack id="S12"><p>We thank C. Allmer, E. Angelucci, A. Bigelow, S. Buehler, K. Butterbach, A. Chabrier, J.M. Conners, M. Corines, M. Cornelis, K. Corsano, H. Dykes, L. Ershler, A. Gabbas, R.P. Gallagher, R.D. Gascoyne, P. Hui, L. Irish, L. Jacobus, L. Klareskog, A.S. Lai, J. Lunde, M. McAdams, R. Montalvan, L. Padyukov, M. Rais, T. Rattle, L. Rigacci, K. Snyder, G. Specchia, M. Stagner, G. Thomas, C. Tornow, G. Wood, and M. Yang.</p><p>The overall GWAS project was supported by the intramural program of the US National Institutes of Health/National Cancer Institute. A list of support provided to individual studies is provided in the <xref rid="SD1" ref-type="supplementary-material">Supplementary Note</xref>.</p></ack><fn-group><fn id="FN4" fn-type="con"><p><bold>AUTHORS CONTRIBUTIONS</bold></p><p>J.R.C., S.I.B., S.S.W., A.N., A.R.B.-W., Q.L., G. Severi, M. Melbye, L.R.T., M.P.P., C.L., B.M.B., S.L.S., S.d.S., K.E.S., C.F.S., N.R. and S.J.C. organized and designed the study. J.R.C., L.C., L.B., A.H., P.M.B., E.A.H., S.L.S., G. Salles, C.F.S., N.R. and S.J.C. conducted and supervised the genotyping of samples. J.R.C., S.I.B., V.J., Z.W., M.Y., L.C., P.I.W.d.B., D.C., J.G., D. Zhi, Y.W.A., J.H., B.M., J.S., L.L., J.P., C.C.C., N.C., S.d.S., K.E.S., C.F.S., N.R. and S.J.C. contributed to the design and execution of statistical analysis. J.R.C., S.I.B., V.J., H.G., J.M., S.S.W., Z.W., M.Y., L.C., A.N., D.C., A.M., C.R.F., A.J.D.R., C.L., K.E.S., C.F.S., N.R. and S.J.C. wrote the first draft of the manuscript. J.R.C., V.J., H.G., J.M., S.S.W., L.C., A.N., L.B., A.M., A.R.B.-W., Q.L., G. Severi, M. Melbye, J.G., R.D.J., E.K., L.R.T., M.P.P., C.M.V., J.J.S., G.G.G., D.A., R.S.K., M.Z., K.A.B., A.Z.-J., T.M.H., B.K.L., A.J.N., A.D., Y.W.A., M.L., C.A.T., S.M.A., T.E.W., G.J.W., A.S.V., D. Zelenika, H.T., C.H., T.J.M., H.H., B.G., H.-O.A., P.M.B., J.R., M.T.S., E.A.H., W.C., P.H., L.M.M., R.K.S., L.F.T., K.E.N., N.B., Y.B., P. Boffetta, P. Brennan, L.F., M. Maynadie, A. Staines, T.L., S.C., A. Smith, E. Roman, W.R.D., K.O., A.Z., R.J.K., D.J.V., T.Z., Y.Z., T.R.H., A.K., J.T., M.C.S., J.C., J. Virtamo, S.W., E. Riboli, P.V., R.K., D.T., R.C.H.V., H.B., A.T., E.A., S.D.L., M.R., B.M.B., F.L., E.G., P.K., Y.Y., B.C.H.C., D.D.W., N.C., J.F.F.J., S.L.S., X.W., S.d.S., K.E.S., G. Salles, C.F.S. and N.R. conducted the epidemiological studies and contributed samples to the GWAS and/or follow-up genotyping. 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Overlaid are the likelihood ratio statistics (right y axis) to estimate putative recombination hotspots across the region on the basis of 5 unique sets of 100 randomly selected control samples. Bottom, LD heatmap based on r<sup>2</sup>values from combined control populations for all SNPs included in the GWAS. Shown are results for 6p25.3 (<bold>a</bold>), 8q24.21 (<bold>b</bold>), 2p23.36 (<bold>c</bold>), and p21.33 (<bold>d</bold>) regions.</p></caption><graphic xlink:href="nihms626189f1a"></graphic><graphic xlink:href="nihms626189f1b"></graphic><graphic xlink:href="nihms626189f1c"></graphic><graphic xlink:href="nihms626189f1d"></graphic></fig><table-wrap id="T1" position="float" orientation="landscape"><label>Table 1</label><caption><p>Association of novel loci and new independent SNPs wth risk of diffuse large B-cell lymphoma (DLBCL)</p></caption><table frame="hsides" rules="groups"><thead><tr><th valign="bottom" align="left" rowspan="1" colspan="1">Location</th><th valign="bottom" align="center" rowspan="1" colspan="1">Nearest gene(s)</th><th valign="bottom" align="center" rowspan="1" colspan="1">SNP</th><th valign="bottom" align="center" rowspan="1" colspan="1">Position<xref rid="TFN1" ref-type="table-fn">a</xref></th><th valign="bottom" align="center" rowspan="1" colspan="1">Risk allele<xref rid="TFN2" ref-type="table-fn">b</xref></th><th valign="bottom" align="center" rowspan="1" colspan="1">Other allele</th><th valign="bottom" align="center" rowspan="1" colspan="1">RAF<xref rid="TFN3" ref-type="table-fn">c</xref></th><th valign="bottom" align="center" rowspan="1" colspan="1">Stage</th><th valign="bottom" align="center" rowspan="1" colspan="1">No. Cases/No. controls</th><th valign="bottom" align="center" rowspan="1" colspan="1">OR</th><th valign="bottom" align="center" rowspan="1" colspan="1">(95% CI)</th><th valign="bottom" align="center" rowspan="1" colspan="1"><italic>P</italic></th><th valign="bottom" align="center" rowspan="1" colspan="1"><italic>P</italic>het</th><th valign="bottom" align="center" rowspan="1" colspan="1">I<sup>2</sup></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">6p25.3</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>EXOC2</italic></td><td align="center" valign="top" rowspan="1" colspan="1">rs116446171</td><td align="center" valign="top" rowspan="1" colspan="1">484,453</td><td align="center" valign="top" rowspan="1" colspan="1">G</td><td align="center" valign="top" rowspan="1" colspan="1">C</td><td align="center" valign="top" rowspan="1" colspan="1">0.019</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 1</td><td align="center" valign="top" rowspan="1" colspan="1">2,661/6,220</td><td align="center" valign="top" rowspan="1" colspan="1">2.26</td><td align="center" valign="top" rowspan="1" colspan="1">(1.82–2.81)</td><td align="center" valign="top" rowspan="1" colspan="1">1.48×10<sup>−13</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.018</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 2</td><td align="center" valign="top" rowspan="1" colspan="1">1,194/1,443</td><td align="center" valign="top" rowspan="1" colspan="1">2.70</td><td align="center" valign="top" rowspan="1" colspan="1">(1.84–3.96)</td><td align="center" valign="top" rowspan="1" colspan="1">3.99×10<sup>−7</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.019</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 3</td><td align="center" valign="top" rowspan="1" colspan="1">1,351/4,460</td><td align="center" valign="top" rowspan="1" colspan="1">1.78</td><td align="center" valign="top" rowspan="1" colspan="1">(1.29–2.46)</td><td align="center" valign="top" rowspan="1" colspan="1">0.00040</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>Combined</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>5,206/12,123</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>2.20</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>(1.87–2.59)</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>2.33×10<sup>−21</sup></bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.17</td><td align="center" valign="top" rowspan="1" colspan="1">32.82</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">8q24.21</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>PVT1</italic></td><td align="center" valign="top" rowspan="1" colspan="1">rs13255292</td><td align="center" valign="top" rowspan="1" colspan="1">129,076,573</td><td align="center" valign="top" rowspan="1" colspan="1">T</td><td align="center" valign="top" rowspan="1" colspan="1">C</td><td align="center" valign="top" rowspan="1" colspan="1">0.321</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 1</td><td align="center" valign="top" rowspan="1" colspan="1">2,661/6,221</td><td align="center" valign="top" rowspan="1" colspan="1">1.19</td><td align="center" valign="top" rowspan="1" colspan="1">(1.11–1.28)</td><td align="center" valign="top" rowspan="1" colspan="1">1.25×10<sup>−6</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.315</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 2</td><td align="center" valign="top" rowspan="1" colspan="1">1,195/1,444</td><td align="center" valign="top" rowspan="1" colspan="1">1.30</td><td align="center" valign="top" rowspan="1" colspan="1">(1.14–1.47)</td><td align="center" valign="top" rowspan="1" colspan="1">4.29×10<sup>−5</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.330</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 3</td><td align="center" valign="top" rowspan="1" colspan="1">1,322/4,498</td><td align="center" valign="top" rowspan="1" colspan="1">1.22</td><td align="center" valign="top" rowspan="1" colspan="1">(1.09–1.36)</td><td align="center" valign="top" rowspan="1" colspan="1">0.001</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>Combined</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>5,178/12,163</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.22</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>(1.15–1.29)</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>9.98×10<sup>−13</sup></bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.37</td><td align="center" valign="top" rowspan="1" colspan="1">8.30</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">rs4733601</td><td align="center" valign="top" rowspan="1" colspan="1">129,269,466</td><td align="center" valign="top" rowspan="1" colspan="1">A</td><td align="center" valign="top" rowspan="1" colspan="1">G</td><td align="center" valign="top" rowspan="1" colspan="1">0.477</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 1</td><td align="center" valign="top" rowspan="1" colspan="1">2,661/6,221</td><td align="center" valign="top" rowspan="1" colspan="1">1.19</td><td align="center" valign="top" rowspan="1" colspan="1">(1.11–1.27)</td><td align="center" valign="top" rowspan="1" colspan="1">4.22×10<sup>−7</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.479</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 2</td><td align="center" valign="top" rowspan="1" colspan="1">1,196/1,445</td><td align="center" valign="top" rowspan="1" colspan="1">1.19</td><td align="center" valign="top" rowspan="1" colspan="1">(1.05–1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">0.004</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.487</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 3</td><td align="center" valign="top" rowspan="1" colspan="1">1,337/4,523</td><td align="center" valign="top" rowspan="1" colspan="1">1.19</td><td align="center" valign="top" rowspan="1" colspan="1">(1.07–1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">0.0016</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>Combined</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>5,194/12,189</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.18</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>(1.11–1.25)</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>3.63×10<sup>−11</sup></bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.09</td><td align="center" valign="top" rowspan="1" colspan="1">43.85</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">6p21.33</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>HLA-B</italic></td><td align="center" valign="top" rowspan="1" colspan="1">rs2523607</td><td align="center" valign="top" rowspan="1" colspan="1">31,322,790</td><td align="center" valign="top" rowspan="1" colspan="1">A</td><td align="center" valign="top" rowspan="1" colspan="1">T</td><td align="center" valign="top" rowspan="1" colspan="1">0.120</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 1</td><td align="center" valign="top" rowspan="1" colspan="1">2,661/6,221</td><td align="center" valign="top" rowspan="1" colspan="1">1.45</td><td align="center" valign="top" rowspan="1" colspan="1">(1.29–1.64)</td><td align="center" valign="top" rowspan="1" colspan="1">7.10×10<sup>−10</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.123</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 2</td><td align="center" valign="top" rowspan="1" colspan="1">1,195/1,444</td><td align="center" valign="top" rowspan="1" colspan="1">1.14</td><td align="center" valign="top" rowspan="1" colspan="1">(0.96–1.35)</td><td align="center" valign="top" rowspan="1" colspan="1">0.14</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.109</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 3<xref rid="TFN4" ref-type="table-fn">d</xref></td><td align="center" valign="top" rowspan="1" colspan="1">1,114/1,102</td><td align="center" valign="top" rowspan="1" colspan="1">1.25</td><td align="center" valign="top" rowspan="1" colspan="1">(1.04–1.51)</td><td align="center" valign="top" rowspan="1" colspan="1">0.019</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>Combined</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>4,970/8767</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.32</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>(1.21–1.44)</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>2.40×10<sup>−10</sup></bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.26</td><td align="center" valign="top" rowspan="1" colspan="1">21.63</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">2p23.3</td><td align="center" valign="top" rowspan="1" colspan="1"><italic>NCOA1</italic></td><td align="center" valign="top" rowspan="1" colspan="1">rs79480871</td><td align="center" valign="top" rowspan="1" colspan="1">24694472</td><td align="center" valign="top" rowspan="1" colspan="1">T</td><td align="center" valign="top" rowspan="1" colspan="1">C</td><td align="center" valign="top" rowspan="1" colspan="1">0.076</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 1</td><td align="center" valign="top" rowspan="1" colspan="1">2,660/6,220</td><td align="center" valign="top" rowspan="1" colspan="1">1.35</td><td align="center" valign="top" rowspan="1" colspan="1">(1.17–1.55)</td><td align="center" valign="top" rowspan="1" colspan="1">3.51×10<sup>−5</sup></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.057</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 2</td><td align="center" valign="top" rowspan="1" colspan="1">1,195/1,443</td><td align="center" valign="top" rowspan="1" colspan="1">1.56</td><td align="center" valign="top" rowspan="1" colspan="1">(1.22–1.99)</td><td align="center" valign="top" rowspan="1" colspan="1">0.00037</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1">0.063</td><td align="center" valign="top" rowspan="1" colspan="1">Stage 3</td><td align="center" valign="top" rowspan="1" colspan="1">1,344/4,524</td><td align="center" valign="top" rowspan="1" colspan="1">1.19</td><td align="center" valign="top" rowspan="1" colspan="1">(0.98–1.46)</td><td align="center" valign="top" rowspan="1" colspan="1">0.084</td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>Combined</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>5,199/12,187</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>1.34</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>(1.21–1.49)</bold></td><td align="center" valign="top" rowspan="1" colspan="1"><bold>4.23×10<sup>−8</sup></bold></td><td align="center" valign="top" rowspan="1" colspan="1">0.15</td><td align="center" valign="top" rowspan="1" colspan="1">34.59</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p>Position according to human reference NCBI37/hg19;</p></fn><fn id="TFN2"><label>b</label><p>Allele associated with an increased risk of DLBCL;</p></fn><fn id="TFN3"><label>c</label><p>Risk allele frequency in controls;</p></fn><fn id="TFN4"><label>d</label><p>Not genotyped in NCI Replication study.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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