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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">The genetic landscape of high-risk neuroblastoma</title><author><name sortKey="Pugh, Trevor J" sort="Pugh, Trevor J" uniqKey="Pugh T" first="Trevor J." last="Pugh">Trevor J. Pugh</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Morozova, Olena" sort="Morozova, Olena" uniqKey="Morozova O" first="Olena" last="Morozova">Olena Morozova</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A5">University of British Columbia, Vancouver, BC, V6T 1Z4, Canada</nlm:aff></affiliation></author><author><name sortKey="Attiyeh, Edward F" sort="Attiyeh, Edward F" uniqKey="Attiyeh E" first="Edward F." last="Attiyeh">Edward F. Attiyeh</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Asgharzadeh, Shahab" sort="Asgharzadeh, Shahab" uniqKey="Asgharzadeh S" first="Shahab" last="Asgharzadeh">Shahab Asgharzadeh</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Wei, Jun S" sort="Wei, Jun S" uniqKey="Wei J" first="Jun S." last="Wei">Jun S. Wei</name><affiliation><nlm:aff id="A12">Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</nlm:aff></affiliation></author><author><name sortKey="Auclair, Daniel" sort="Auclair, Daniel" uniqKey="Auclair D" first="Daniel" last="Auclair">Daniel Auclair</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Carter, Scott L" sort="Carter, Scott L" uniqKey="Carter S" first="Scott L." last="Carter">Scott L. Carter</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Cibulskis, Kristian" sort="Cibulskis, Kristian" uniqKey="Cibulskis K" first="Kristian" last="Cibulskis">Kristian Cibulskis</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Hanna, Megan" sort="Hanna, Megan" uniqKey="Hanna M" first="Megan" last="Hanna">Megan Hanna</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Kiezun, Adam" sort="Kiezun, Adam" uniqKey="Kiezun A" first="Adam" last="Kiezun">Adam Kiezun</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Kim, Jaegil" sort="Kim, Jaegil" uniqKey="Kim J" first="Jaegil" last="Kim">Jaegil Kim</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Lawrence, Michael S" sort="Lawrence, Michael S" uniqKey="Lawrence M" first="Michael S." last="Lawrence">Michael S. Lawrence</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Lichenstein, Lee" sort="Lichenstein, Lee" uniqKey="Lichenstein L" first="Lee" last="Lichenstein">Lee Lichenstein</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Mckenna, Aaron" sort="Mckenna, Aaron" uniqKey="Mckenna A" first="Aaron" last="Mckenna">Aaron Mckenna</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Pedamallu, Chandra Sekhar" sort="Pedamallu, Chandra Sekhar" uniqKey="Pedamallu C" first="Chandra Sekhar" last="Pedamallu">Chandra Sekhar Pedamallu</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Ramos, Alex H" sort="Ramos, Alex H" uniqKey="Ramos A" first="Alex H." last="Ramos">Alex H. Ramos</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Shefler, Erica" sort="Shefler, Erica" uniqKey="Shefler E" first="Erica" last="Shefler">Erica Shefler</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Sivachenko, Andrey" sort="Sivachenko, Andrey" uniqKey="Sivachenko A" first="Andrey" last="Sivachenko">Andrey Sivachenko</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Sougnez, Carrie" sort="Sougnez, Carrie" uniqKey="Sougnez C" first="Carrie" last="Sougnez">Carrie Sougnez</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Stewart, Chip" sort="Stewart, Chip" uniqKey="Stewart C" first="Chip" last="Stewart">Chip Stewart</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Ally, Adrian" sort="Ally, Adrian" uniqKey="Ally A" first="Adrian" last="Ally">Adrian Ally</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Birol, Inanc" sort="Birol, Inanc" uniqKey="Birol I" first="Inanc" last="Birol">Inanc Birol</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Chiu, Readman" sort="Chiu, Readman" uniqKey="Chiu R" first="Readman" last="Chiu">Readman Chiu</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Corbett, Richard D" sort="Corbett, Richard D" uniqKey="Corbett R" first="Richard D." last="Corbett">Richard D. Corbett</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Hirst, Martin" sort="Hirst, Martin" uniqKey="Hirst M" first="Martin" last="Hirst">Martin Hirst</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Jackman, Shaun D" sort="Jackman, Shaun D" uniqKey="Jackman S" first="Shaun D." last="Jackman">Shaun D. Jackman</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Kamoh, Baljit" sort="Kamoh, Baljit" uniqKey="Kamoh B" first="Baljit" last="Kamoh">Baljit Kamoh</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Khodabakshi, Alireza Hadj" sort="Khodabakshi, Alireza Hadj" uniqKey="Khodabakshi A" first="Alireza Hadj" last="Khodabakshi">Alireza Hadj Khodabakshi</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Krzywinski, Martin" sort="Krzywinski, Martin" uniqKey="Krzywinski M" first="Martin" last="Krzywinski">Martin Krzywinski</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Lo, Allan" sort="Lo, Allan" uniqKey="Lo A" first="Allan" last="Lo">Allan Lo</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Moore, Richard A" sort="Moore, Richard A" uniqKey="Moore R" first="Richard A." last="Moore">Richard A. Moore</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Mungall, Karen L" sort="Mungall, Karen L" uniqKey="Mungall K" first="Karen L." last="Mungall">Karen L. Mungall</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Qian, Jenny" sort="Qian, Jenny" uniqKey="Qian J" first="Jenny" last="Qian">Jenny Qian</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Tam, Angela" sort="Tam, Angela" uniqKey="Tam A" first="Angela" last="Tam">Angela Tam</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Thiessen, Nina" sort="Thiessen, Nina" uniqKey="Thiessen N" first="Nina" last="Thiessen">Nina Thiessen</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Zhao, Yongjun" sort="Zhao, Yongjun" uniqKey="Zhao Y" first="Yongjun" last="Zhao">Yongjun Zhao</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Cole, Kristina A" sort="Cole, Kristina A" uniqKey="Cole K" first="Kristina A." last="Cole">Kristina A. Cole</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Diamond, Maura" sort="Diamond, Maura" uniqKey="Diamond M" first="Maura" last="Diamond">Maura Diamond</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Diskin, Sharon J" sort="Diskin, Sharon J" uniqKey="Diskin S" first="Sharon J." last="Diskin">Sharon J. Diskin</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Mosse, Yael P" sort="Mosse, Yael P" uniqKey="Mosse Y" first="Yael P." last="Mosse">Yael P. Mosse</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Wood, Andrew C" sort="Wood, Andrew C" uniqKey="Wood A" first="Andrew C." last="Wood">Andrew C. Wood</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Ji, Lingyun" sort="Ji, Lingyun" uniqKey="Ji L" first="Lingyun" last="Ji">Lingyun Ji</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Sposto, Richard" sort="Sposto, Richard" uniqKey="Sposto R" first="Richard" last="Sposto">Richard Sposto</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Badgett, Thomas" sort="Badgett, Thomas" uniqKey="Badgett T" first="Thomas" last="Badgett">Thomas Badgett</name><affiliation><nlm:aff id="A12">Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</nlm:aff></affiliation></author><author><name sortKey="London, Wendy B" sort="London, Wendy B" uniqKey="London W" first="Wendy B." last="London">Wendy B. London</name><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A13">Children’s Hospital Boston / Dana-Farber Cancer Institute and Children’s Oncology Group, Boston, MA, 02215, USA</nlm:aff></affiliation></author><author><name sortKey="Moyer, Yvonne" sort="Moyer, Yvonne" uniqKey="Moyer Y" first="Yvonne" last="Moyer">Yvonne Moyer</name><affiliation><nlm:aff id="A14">Nationwide Children’s Hospital, Columbus, OH, 43205, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A15">The Ohio State University College of Medicine, Columbus, OH, 43210, USA</nlm:aff></affiliation></author><author><name sortKey="Gastier Foster, Julie M" sort="Gastier Foster, Julie M" uniqKey="Gastier Foster J" first="Julie M." last="Gastier-Foster">Julie M. Gastier-Foster</name><affiliation><nlm:aff id="A14">Nationwide Children’s Hospital, Columbus, OH, 43205, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A15">The Ohio State University College of Medicine, Columbus, OH, 43210, USA</nlm:aff></affiliation></author><author><name sortKey="Smith, Malcolm A" sort="Smith, Malcolm A" uniqKey="Smith M" first="Malcolm A." last="Smith">Malcolm A. Smith</name><affiliation><nlm:aff id="A16">Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD, 20892, USA</nlm:aff></affiliation></author><author><name sortKey="Auvil, Jaime M Guidry" sort="Auvil, Jaime M Guidry" uniqKey="Auvil J" first="Jaime M. Guidry" last="Auvil">Jaime M. Guidry Auvil</name><affiliation><nlm:aff id="A17">Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, 20892, USA</nlm:aff></affiliation></author><author><name sortKey="Gerhard, Daniela S" sort="Gerhard, Daniela S" uniqKey="Gerhard D" first="Daniela S." last="Gerhard">Daniela S. Gerhard</name><affiliation><nlm:aff id="A17">Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, 20892, USA</nlm:aff></affiliation></author><author><name sortKey="Hogarty, Michael D" sort="Hogarty, Michael D" uniqKey="Hogarty M" first="Michael D." last="Hogarty">Michael D. Hogarty</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Jones, Steven J M" sort="Jones, Steven J M" uniqKey="Jones S" first="Steven J. M." last="Jones">Steven J. M. Jones</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Lander, Eric S" sort="Lander, Eric S" uniqKey="Lander E" first="Eric S." last="Lander">Eric S. Lander</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Gabriel, Stacey B" sort="Gabriel, Stacey B" uniqKey="Gabriel S" first="Stacey B." last="Gabriel">Stacey B. Gabriel</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Getz, Gad" sort="Getz, Gad" uniqKey="Getz G" first="Gad" last="Getz">Gad Getz</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Seeger, Robert C" sort="Seeger, Robert C" uniqKey="Seeger R" first="Robert C." last="Seeger">Robert C. Seeger</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Khan, Javed" sort="Khan, Javed" uniqKey="Khan J" first="Javed" last="Khan">Javed Khan</name><affiliation><nlm:aff id="A12">Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</nlm:aff></affiliation></author><author><name sortKey="Marra, Marco A" sort="Marra, Marco A" uniqKey="Marra M" first="Marco A." last="Marra">Marco A. Marra</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A5">University of British Columbia, Vancouver, BC, V6T 1Z4, Canada</nlm:aff></affiliation></author><author><name sortKey="Meyerson, Matthew" sort="Meyerson, Matthew" uniqKey="Meyerson M" first="Matthew" last="Meyerson">Matthew Meyerson</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Maris, John M" sort="Maris, John M" uniqKey="Maris J" first="John M." last="Maris">John M. Maris</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A18">Abramson Family Cancer Research Institute, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">23334666</idno><idno type="pmc">3682833</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682833</idno><idno type="RBID">PMC:3682833</idno><idno type="doi">10.1038/ng.2529</idno><date when="2013">2013</date><idno type="wicri:Area/Pmc/Corpus">000B58</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000B58</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">The genetic landscape of high-risk neuroblastoma</title><author><name sortKey="Pugh, Trevor J" sort="Pugh, Trevor J" uniqKey="Pugh T" first="Trevor J." last="Pugh">Trevor J. Pugh</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Morozova, Olena" sort="Morozova, Olena" uniqKey="Morozova O" first="Olena" last="Morozova">Olena Morozova</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A5">University of British Columbia, Vancouver, BC, V6T 1Z4, Canada</nlm:aff></affiliation></author><author><name sortKey="Attiyeh, Edward F" sort="Attiyeh, Edward F" uniqKey="Attiyeh E" first="Edward F." last="Attiyeh">Edward F. Attiyeh</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Asgharzadeh, Shahab" sort="Asgharzadeh, Shahab" uniqKey="Asgharzadeh S" first="Shahab" last="Asgharzadeh">Shahab Asgharzadeh</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Wei, Jun S" sort="Wei, Jun S" uniqKey="Wei J" first="Jun S." last="Wei">Jun S. Wei</name><affiliation><nlm:aff id="A12">Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</nlm:aff></affiliation></author><author><name sortKey="Auclair, Daniel" sort="Auclair, Daniel" uniqKey="Auclair D" first="Daniel" last="Auclair">Daniel Auclair</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Carter, Scott L" sort="Carter, Scott L" uniqKey="Carter S" first="Scott L." last="Carter">Scott L. Carter</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Cibulskis, Kristian" sort="Cibulskis, Kristian" uniqKey="Cibulskis K" first="Kristian" last="Cibulskis">Kristian Cibulskis</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Hanna, Megan" sort="Hanna, Megan" uniqKey="Hanna M" first="Megan" last="Hanna">Megan Hanna</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Kiezun, Adam" sort="Kiezun, Adam" uniqKey="Kiezun A" first="Adam" last="Kiezun">Adam Kiezun</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Kim, Jaegil" sort="Kim, Jaegil" uniqKey="Kim J" first="Jaegil" last="Kim">Jaegil Kim</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Lawrence, Michael S" sort="Lawrence, Michael S" uniqKey="Lawrence M" first="Michael S." last="Lawrence">Michael S. Lawrence</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Lichenstein, Lee" sort="Lichenstein, Lee" uniqKey="Lichenstein L" first="Lee" last="Lichenstein">Lee Lichenstein</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Mckenna, Aaron" sort="Mckenna, Aaron" uniqKey="Mckenna A" first="Aaron" last="Mckenna">Aaron Mckenna</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Pedamallu, Chandra Sekhar" sort="Pedamallu, Chandra Sekhar" uniqKey="Pedamallu C" first="Chandra Sekhar" last="Pedamallu">Chandra Sekhar Pedamallu</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Ramos, Alex H" sort="Ramos, Alex H" uniqKey="Ramos A" first="Alex H." last="Ramos">Alex H. Ramos</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Shefler, Erica" sort="Shefler, Erica" uniqKey="Shefler E" first="Erica" last="Shefler">Erica Shefler</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Sivachenko, Andrey" sort="Sivachenko, Andrey" uniqKey="Sivachenko A" first="Andrey" last="Sivachenko">Andrey Sivachenko</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Sougnez, Carrie" sort="Sougnez, Carrie" uniqKey="Sougnez C" first="Carrie" last="Sougnez">Carrie Sougnez</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Stewart, Chip" sort="Stewart, Chip" uniqKey="Stewart C" first="Chip" last="Stewart">Chip Stewart</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Ally, Adrian" sort="Ally, Adrian" uniqKey="Ally A" first="Adrian" last="Ally">Adrian Ally</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Birol, Inanc" sort="Birol, Inanc" uniqKey="Birol I" first="Inanc" last="Birol">Inanc Birol</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Chiu, Readman" sort="Chiu, Readman" uniqKey="Chiu R" first="Readman" last="Chiu">Readman Chiu</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Corbett, Richard D" sort="Corbett, Richard D" uniqKey="Corbett R" first="Richard D." last="Corbett">Richard D. Corbett</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Hirst, Martin" sort="Hirst, Martin" uniqKey="Hirst M" first="Martin" last="Hirst">Martin Hirst</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Jackman, Shaun D" sort="Jackman, Shaun D" uniqKey="Jackman S" first="Shaun D." last="Jackman">Shaun D. Jackman</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Kamoh, Baljit" sort="Kamoh, Baljit" uniqKey="Kamoh B" first="Baljit" last="Kamoh">Baljit Kamoh</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Khodabakshi, Alireza Hadj" sort="Khodabakshi, Alireza Hadj" uniqKey="Khodabakshi A" first="Alireza Hadj" last="Khodabakshi">Alireza Hadj Khodabakshi</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Krzywinski, Martin" sort="Krzywinski, Martin" uniqKey="Krzywinski M" first="Martin" last="Krzywinski">Martin Krzywinski</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Lo, Allan" sort="Lo, Allan" uniqKey="Lo A" first="Allan" last="Lo">Allan Lo</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Moore, Richard A" sort="Moore, Richard A" uniqKey="Moore R" first="Richard A." last="Moore">Richard A. Moore</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Mungall, Karen L" sort="Mungall, Karen L" uniqKey="Mungall K" first="Karen L." last="Mungall">Karen L. Mungall</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Qian, Jenny" sort="Qian, Jenny" uniqKey="Qian J" first="Jenny" last="Qian">Jenny Qian</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Tam, Angela" sort="Tam, Angela" uniqKey="Tam A" first="Angela" last="Tam">Angela Tam</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Thiessen, Nina" sort="Thiessen, Nina" uniqKey="Thiessen N" first="Nina" last="Thiessen">Nina Thiessen</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Zhao, Yongjun" sort="Zhao, Yongjun" uniqKey="Zhao Y" first="Yongjun" last="Zhao">Yongjun Zhao</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Cole, Kristina A" sort="Cole, Kristina A" uniqKey="Cole K" first="Kristina A." last="Cole">Kristina A. Cole</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Diamond, Maura" sort="Diamond, Maura" uniqKey="Diamond M" first="Maura" last="Diamond">Maura Diamond</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Diskin, Sharon J" sort="Diskin, Sharon J" uniqKey="Diskin S" first="Sharon J." last="Diskin">Sharon J. Diskin</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Mosse, Yael P" sort="Mosse, Yael P" uniqKey="Mosse Y" first="Yael P." last="Mosse">Yael P. Mosse</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Wood, Andrew C" sort="Wood, Andrew C" uniqKey="Wood A" first="Andrew C." last="Wood">Andrew C. Wood</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Ji, Lingyun" sort="Ji, Lingyun" uniqKey="Ji L" first="Lingyun" last="Ji">Lingyun Ji</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Sposto, Richard" sort="Sposto, Richard" uniqKey="Sposto R" first="Richard" last="Sposto">Richard Sposto</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Badgett, Thomas" sort="Badgett, Thomas" uniqKey="Badgett T" first="Thomas" last="Badgett">Thomas Badgett</name><affiliation><nlm:aff id="A12">Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</nlm:aff></affiliation></author><author><name sortKey="London, Wendy B" sort="London, Wendy B" uniqKey="London W" first="Wendy B." last="London">Wendy B. London</name><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A13">Children’s Hospital Boston / Dana-Farber Cancer Institute and Children’s Oncology Group, Boston, MA, 02215, USA</nlm:aff></affiliation></author><author><name sortKey="Moyer, Yvonne" sort="Moyer, Yvonne" uniqKey="Moyer Y" first="Yvonne" last="Moyer">Yvonne Moyer</name><affiliation><nlm:aff id="A14">Nationwide Children’s Hospital, Columbus, OH, 43205, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A15">The Ohio State University College of Medicine, Columbus, OH, 43210, USA</nlm:aff></affiliation></author><author><name sortKey="Gastier Foster, Julie M" sort="Gastier Foster, Julie M" uniqKey="Gastier Foster J" first="Julie M." last="Gastier-Foster">Julie M. Gastier-Foster</name><affiliation><nlm:aff id="A14">Nationwide Children’s Hospital, Columbus, OH, 43205, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A15">The Ohio State University College of Medicine, Columbus, OH, 43210, USA</nlm:aff></affiliation></author><author><name sortKey="Smith, Malcolm A" sort="Smith, Malcolm A" uniqKey="Smith M" first="Malcolm A." last="Smith">Malcolm A. Smith</name><affiliation><nlm:aff id="A16">Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD, 20892, USA</nlm:aff></affiliation></author><author><name sortKey="Auvil, Jaime M Guidry" sort="Auvil, Jaime M Guidry" uniqKey="Auvil J" first="Jaime M. Guidry" last="Auvil">Jaime M. Guidry Auvil</name><affiliation><nlm:aff id="A17">Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, 20892, USA</nlm:aff></affiliation></author><author><name sortKey="Gerhard, Daniela S" sort="Gerhard, Daniela S" uniqKey="Gerhard D" first="Daniela S." last="Gerhard">Daniela S. Gerhard</name><affiliation><nlm:aff id="A17">Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, 20892, USA</nlm:aff></affiliation></author><author><name sortKey="Hogarty, Michael D" sort="Hogarty, Michael D" uniqKey="Hogarty M" first="Michael D." last="Hogarty">Michael D. Hogarty</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author><author><name sortKey="Jones, Steven J M" sort="Jones, Steven J M" uniqKey="Jones S" first="Steven J. M." last="Jones">Steven J. M. Jones</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation></author><author><name sortKey="Lander, Eric S" sort="Lander, Eric S" uniqKey="Lander E" first="Eric S." last="Lander">Eric S. Lander</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Gabriel, Stacey B" sort="Gabriel, Stacey B" uniqKey="Gabriel S" first="Stacey B." last="Gabriel">Stacey B. Gabriel</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Getz, Gad" sort="Getz, Gad" uniqKey="Getz G" first="Gad" last="Getz">Gad Getz</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation></author><author><name sortKey="Seeger, Robert C" sort="Seeger, Robert C" uniqKey="Seeger R" first="Robert C." last="Seeger">Robert C. Seeger</name><affiliation><nlm:aff id="A9">Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A10">Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</nlm:aff></affiliation><affiliation><nlm:aff id="A11">Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</nlm:aff></affiliation></author><author><name sortKey="Khan, Javed" sort="Khan, Javed" uniqKey="Khan J" first="Javed" last="Khan">Javed Khan</name><affiliation><nlm:aff id="A12">Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</nlm:aff></affiliation></author><author><name sortKey="Marra, Marco A" sort="Marra, Marco A" uniqKey="Marra M" first="Marco A." last="Marra">Marco A. Marra</name><affiliation><nlm:aff id="A4">Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</nlm:aff></affiliation><affiliation><nlm:aff id="A5">University of British Columbia, Vancouver, BC, V6T 1Z4, Canada</nlm:aff></affiliation></author><author><name sortKey="Meyerson, Matthew" sort="Meyerson, Matthew" uniqKey="Meyerson M" first="Matthew" last="Meyerson">Matthew Meyerson</name><affiliation><nlm:aff id="A1">The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Harvard Medical School, Boston, MA, 02115, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A3">Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</nlm:aff></affiliation></author><author><name sortKey="Maris, John M" sort="Maris, John M" uniqKey="Maris J" first="John M." last="Maris">John M. Maris</name><affiliation><nlm:aff id="A6">Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A7">Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A8">Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</nlm:aff></affiliation><affiliation><nlm:aff id="A18">Abramson Family Cancer Research Institute, Philadelphia, PA, 19104, USA</nlm:aff></affiliation></author></analytic><series><title level="j">Nature genetics</title><idno type="ISSN">1061-4036</idno><idno type="eISSN">1546-1718</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P2">Neuroblastoma is a malignancy of the developing sympathetic nervous system that often presents with widespread metastatic disease, resulting in survival rates of less than 50%<sup><xref rid="R1" ref-type="bibr">1</xref></sup>. To determine the spectrum of somatic mutation in high-risk neuroblastoma, we studied 240 cases using a combination of whole exome, genome and transcriptome sequencing as part of the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative. Here we report a low median exonic mutation frequency of 0.60 per megabase (0.48 non-silent), and remarkably few recurrently mutated genes in these tumors. Genes with significant somatic mutation frequencies included <italic>ALK</italic> (9.2% of cases), <italic>PTPN11</italic> (2.9%), <italic>ATRX</italic> (2.5%, an additional 7.1% had focal deletions), <italic>MYCN</italic> (1.7%, a recurrent p.Pro44Leu alteration), and <italic>NRAS</italic> (0.83%). Rare, potentially pathogenic germline variants were significantly enriched in <italic>ALK, CHEK2, PINK1,</italic> and <italic>BARD1</italic>. The relative paucity of recurrent somatic mutations in neuroblastoma challenges current therapeutic strategies reliant upon frequently altered oncogenic drivers.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Maris, Jm" uniqKey="Maris J">JM Maris</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Smith, Ma" uniqKey="Smith M">MA Smith</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Matthay, Kk" uniqKey="Matthay K">KK Matthay</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Yu, Al" uniqKey="Yu A">AL Yu</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Oeffinger, Kc" uniqKey="Oeffinger K">KC Oeffinger</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Trochet, D" uniqKey="Trochet D">D 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<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9216904</journal-id><journal-id journal-id-type="pubmed-jr-id">2419</journal-id><journal-id journal-id-type="nlm-ta">Nat Genet</journal-id><journal-id journal-id-type="iso-abbrev">Nat. 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">23334666</article-id><article-id pub-id-type="pmc">3682833</article-id><article-id pub-id-type="doi">10.1038/ng.2529</article-id><article-id pub-id-type="manuscript">NIHMS474900</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>The genetic landscape of high-risk neuroblastoma</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Pugh</surname><given-names>Trevor J.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref><xref ref-type="author-notes" rid="FN1">*</xref></contrib><contrib 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contrib-type="author"><name><surname>Gastier-Foster</surname><given-names>Julie M.</given-names></name><xref ref-type="aff" rid="A14">14</xref><xref ref-type="aff" rid="A15">15</xref></contrib><contrib contrib-type="author"><name><surname>Smith</surname><given-names>Malcolm A.</given-names></name><xref ref-type="aff" rid="A16">16</xref></contrib><contrib contrib-type="author"><name><surname>Auvil</surname><given-names>Jaime M. Guidry</given-names></name><xref ref-type="aff" rid="A17">17</xref></contrib><contrib contrib-type="author"><name><surname>Gerhard</surname><given-names>Daniela S.</given-names></name><xref ref-type="aff" rid="A17">17</xref></contrib><contrib contrib-type="author"><name><surname>Hogarty</surname><given-names>Michael D.</given-names></name><xref ref-type="aff" rid="A6">6</xref><xref ref-type="aff" rid="A7">7</xref><xref ref-type="aff" rid="A8">8</xref></contrib><contrib contrib-type="author"><name><surname>Jones</surname><given-names>Steven J. M.</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Lander</surname><given-names>Eric S.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Gabriel</surname><given-names>Stacey B.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Getz</surname><given-names>Gad</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Seeger</surname><given-names>Robert C.</given-names></name><xref ref-type="aff" rid="A9">9</xref><xref ref-type="aff" rid="A10">10</xref><xref ref-type="aff" rid="A11">11</xref></contrib><contrib contrib-type="author"><name><surname>Khan</surname><given-names>Javed</given-names></name><xref ref-type="aff" rid="A12">12</xref></contrib><contrib contrib-type="author"><name><surname>Marra</surname><given-names>Marco A.</given-names></name><xref ref-type="aff" rid="A4">4</xref><xref ref-type="aff" rid="A5">5</xref><xref ref-type="corresp" rid="CR1">#</xref></contrib><contrib contrib-type="author"><name><surname>Meyerson</surname><given-names>Matthew</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref><xref ref-type="corresp" rid="CR1">#</xref></contrib><contrib contrib-type="author"><name><surname>Maris</surname><given-names>John M.</given-names></name><xref ref-type="aff" rid="A6">6</xref><xref ref-type="aff" rid="A7">7</xref><xref ref-type="aff" rid="A8">8</xref><xref ref-type="aff" rid="A18">18</xref><xref ref-type="corresp" rid="CR1">#</xref></contrib></contrib-group><aff id="A1"><label>1</label>The Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA</aff><aff id="A2"><label>2</label>Harvard Medical School, Boston, MA, 02115, USA</aff><aff id="A3"><label>3</label>Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA</aff><aff id="A4"><label>4</label>Genome Sciences Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, V5Z 4S6, Canada</aff><aff id="A5"><label>5</label>University of British Columbia, Vancouver, BC, V6T 1Z4, Canada</aff><aff id="A6"><label>6</label>Division of Oncology, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</aff><aff id="A7"><label>7</label>Center for Childhood Cancer Research, The Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA</aff><aff id="A8"><label>8</label>Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, 19104, USA</aff><aff id="A9"><label>9</label>Division of Hematology/Oncology, The Children’s Hospital Los Angeles, CA, 90027</aff><aff id="A10"><label>10</label>Saban Research Institute, The Children’s Hospital Los Angeles, CA, 90027</aff><aff id="A11"><label>11</label>Keck School of Medicine, University of Southern California; Los Angeles, CA, 90007, USA</aff><aff id="A12"><label>12</label>Pediatric Oncology Branch, Oncogenomics Section, Center for Cancer Research, National Institutes of Health, Gaithersburg, MD, 20877, USA</aff><aff id="A13"><label>13</label>Children’s Hospital Boston / Dana-Farber Cancer Institute and Children’s Oncology Group, Boston, MA, 02215, USA</aff><aff id="A14"><label>14</label>Nationwide Children’s Hospital, Columbus, OH, 43205, USA</aff><aff id="A15"><label>15</label>The Ohio State University College of Medicine, Columbus, OH, 43210, USA</aff><aff id="A16"><label>16</label>Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD, 20892, USA</aff><aff id="A17"><label>17</label>Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, 20892, USA</aff><aff id="A18"><label>18</label>Abramson Family Cancer Research Institute, Philadelphia, PA, 19104, USA</aff><author-notes><corresp id="CR1"><label>#</label>Co-corresponding authors M.A.M (<email>mmarra@bcgsc.ca</email>), M.M. (<email>Matthew_Meyerson@dfci.harvard.edu</email>) and/or J.M.M. (<email>maris@chop.edu</email>).
</corresp><fn fn-type="equal" id="FN1"><label>*</label><p id="P1">Authors contributed equally;</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>31</day><month>5</month><year>2013</year></pub-date><pub-date pub-type="epub"><day>20</day><month>1</month><year>2013</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>9</month><year>2013</year></pub-date><volume>45</volume><issue>3</issue><fpage>279</fpage><lpage>284</lpage><pmc-comment>elocation-id from pubmed: 10.1038/ng.2529</pmc-comment>
<permissions><license><license-p>Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:
<uri xlink:type="simple" xlink:href="http://www.nature.com/authors/editorial_policies/license.html#terms">http://www.nature.com/authors/editorial_policies/license.html#terms</uri></license-p></license></permissions><abstract><p id="P2">Neuroblastoma is a malignancy of the developing sympathetic nervous system that often presents with widespread metastatic disease, resulting in survival rates of less than 50%<sup><xref rid="R1" ref-type="bibr">1</xref></sup>. To determine the spectrum of somatic mutation in high-risk neuroblastoma, we studied 240 cases using a combination of whole exome, genome and transcriptome sequencing as part of the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) initiative. Here we report a low median exonic mutation frequency of 0.60 per megabase (0.48 non-silent), and remarkably few recurrently mutated genes in these tumors. Genes with significant somatic mutation frequencies included <italic>ALK</italic> (9.2% of cases), <italic>PTPN11</italic> (2.9%), <italic>ATRX</italic> (2.5%, an additional 7.1% had focal deletions), <italic>MYCN</italic> (1.7%, a recurrent p.Pro44Leu alteration), and <italic>NRAS</italic> (0.83%). Rare, potentially pathogenic germline variants were significantly enriched in <italic>ALK, CHEK2, PINK1,</italic> and <italic>BARD1</italic>. The relative paucity of recurrent somatic mutations in neuroblastoma challenges current therapeutic strategies reliant upon frequently altered oncogenic drivers.</p></abstract></article-meta></front><body><p id="P3">Neuroblastoma is an embryonal malignancy of early childhood with a poor prognosis for patients diagnosed at over 18 months of age with disseminated disease, overall accounting for 12% of childhood cancer-related deaths<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref></sup>. Despite multimodal chemo- and immuno-therapeutic strategies that improved the survival of patients with high-risk disease<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref></sup>, a disproportionate number of these patients will die or suffer profound treatment-related morbidity<sup><xref rid="R5" ref-type="bibr">5</xref></sup>. Novel therapeutic approaches are needed to improve cure rates while minimizing toxicity.</p><p id="P4">Highly penetrant, heritable mutations in the <italic>ALK</italic> or <italic>PHOX2B</italic> genes account for the majority of familial neuroblastomas<sup><xref rid="R6" ref-type="bibr">6</xref>–<xref rid="R9" ref-type="bibr">9</xref></sup>. For patients with sporadic disease, genome-wide association studies have identified multiple DNA polymorphisms in genes that influence neuroblastoma susceptibility and clinical phenotype<sup><xref rid="R10" ref-type="bibr">10</xref>–<xref rid="R15" ref-type="bibr">15</xref></sup>. Somatically acquired amplification of <italic>MYCN</italic>, and hemizygous deletions of 1p and 11q are highly recurrent and are associated with poor prognosis<sup><xref rid="R16" ref-type="bibr">16</xref></sup>. While these latter aberrations are useful as prognostic biomarkers of patient outcome, there remain few known oncogenic drivers of the malignant process.</p><p id="P5">Three recent studies have together reported genome or exome analysis of 162 neuroblastoma cases<sup><xref rid="R17" ref-type="bibr">17</xref>–<xref rid="R19" ref-type="bibr">19</xref></sup>. Molenaar and colleagues reported an overall low somatic mutation count (12 per tumor), few recurrent mutations beyond <italic>ALK</italic> (7% of cases) and <italic>TIAM1</italic> (3%), a high frequency of chromothripsis in stage 3 and 4 tumors (18%), and frequent mutation of Rac/Rho pathway genes regulating neuritogenesis<sup><xref rid="R17" ref-type="bibr">17</xref></sup>. Cheung and colleagues found <italic>ATRX</italic> loss-of-function mutations and deletions associated with neuroblastoma in adolescents and young adults<sup><xref rid="R18" ref-type="bibr">18</xref></sup>. Sausen and colleagues uncovered recurrent mutation or focal deletion of <italic>ARID1A</italic> and <italic>ARID1B</italic> in 11% of cases using a low coverage WGS and targeted sequencing strategy<sup><xref rid="R19" ref-type="bibr">19</xref></sup>. Given the genetic heterogeneity described in neuroblastoma, we sought to build upon these studies through a focused analysis of a large cohort of high-risk stage 4 neuroblastomas, where the need for translational advances are most pressing, using several genomic approaches.</p><p id="P6">Here we examined 240 matched tumor/normal (blood leukocyte) pairs from patients older than 18 months of age at diagnosis with metastatic (Stage 4) disease by whole exome sequencing (WES; 221 cases), whole genome sequencing (WGS; 18 cases; one using two different sequencing platforms), or both (1 case; <xref ref-type="supplementary-material" rid="SD10">Supplementary Table 1</xref>; <xref ref-type="supplementary-material" rid="SD1">Supplementary Note</xref>). WES of ~33 megabases of coding sequence yielded an average 124X coverage with 87% of bases suitable for mutation detection (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 1</xref>, <xref ref-type="supplementary-material" rid="SD11">Supplementary Table 2</xref>). We used two different WGS approaches, Illumina<sup><xref rid="R20" ref-type="bibr">20</xref></sup> (10 cases, 29.7X average coverage) and Complete Genomics<sup><xref rid="R21" ref-type="bibr">21</xref></sup> (10 cases, 59.9X average coverage), to interrogate structural variation and supplement mutation detection (powered to detect mutations at 86% and 94% of mappable exonic bases, respectively). To assess expression of mutations and fusion transcripts, over 10 Gbp of RNA-seq data was generated for the ten Illumina WGS cases.</p><p id="P7">Across the coding regions of 240 cases, we detected 5,291 candidate somatic mutations in 3,960 genes (<xref ref-type="supplementary-material" rid="SD2">Supplementary Table 3</xref><bold>).</bold> A median of 18 candidate exomic mutations (17 substitutions, 1 indel) was found per tumor (range 0-218), of which 14 were non-silent mutations predicted to alter protein sequences (range 0-158, median 12 missense, 1 nonsense, 1 indel, 0 splice site, <xref ref-type="supplementary-material" rid="SD10">Supplementary Table 1</xref>). This corresponds to a median frequency of 0.60 mutations per megabase (0.48 non-silent per megabase), considering only exonic bases with sufficient data for mutation detection (<xref ref-type="fig" rid="F1">Figure 1</xref>). This frequency is consistent with unselected neuroblastomas<sup><xref rid="R17" ref-type="bibr">17</xref>–<xref rid="R19" ref-type="bibr">19</xref></sup>, medulloblastoma<sup><xref rid="R22" ref-type="bibr">22</xref></sup>, and hematopoietic malignancies<sup><xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup>, twice that of pediatric rhabdoid cancer<sup><xref rid="R25" ref-type="bibr">25</xref></sup>, and significantly less than adult solid tumors<sup><xref rid="R24" ref-type="bibr">24</xref>,<xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R27" ref-type="bibr">27</xref></sup>, particularly those with strong environmental contribution<sup><xref rid="R24" ref-type="bibr">24</xref>,<xref rid="R28" ref-type="bibr">28</xref>–<xref rid="R31" ref-type="bibr">31</xref></sup>. We verified 241 of 282 coding candidate somatic substitutions (85%, 525 of 605 including non-coding) and 26/41 coding indels (63%, 27/79 including non-coding) using mass-spectrometric genotyping or PCR-based re-sequencing (<xref ref-type="supplementary-material" rid="SD1">Supplementary Text</xref>).</p><p id="P8">We did not observe a correlation between mutation frequency and age at diagnosis (p=0.28, Spearman) or other clinical variables (<xref ref-type="supplementary-material" rid="SD3">Supplementary Table 4</xref>). Consistent with a postulated limited environmental contribution to neuroblastoma development<sup><xref rid="R1" ref-type="bibr">1</xref></sup>, context-specific transition and transversion rates were not elevated compared to other cancers (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 2</xref>) and we did not detect significant sequencing reads corresponding to pathogenic viruses (<xref ref-type="supplementary-material" rid="SD4">Supplementary Table 5</xref>). Two tumors with markedly increased mutation frequencies (7.27 and 4.29 mutations per megabase) harbored alterations of DNA repair genes (nonsense mutation and deletion of <italic>MLH1</italic> and nonsense mutation of <italic>DB1</italic>).</p><p id="P9">Using the MutSig algorithm<sup><xref rid="R32" ref-type="bibr">32</xref></sup>, we identified six genes mutated at a significant frequency in the 240 tumors (q<0.1; <xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="supplementary-material" rid="SD5">Supplementary Table 6</xref>). A seventh gene, <italic>NRAS</italic>, was implicated by restricting this analysis to genes listed in the Catalogue of Somatic Mutations in Cancer (COSMIC, v48)<sup><xref rid="R33" ref-type="bibr">33</xref></sup>. Using neuroblastoma data from our RNA-seq cohort (10 cases), the TARGET RNA microarray project (250 cases), and a publically-available RNA microarray project (416 cases)<sup><xref rid="R34" ref-type="bibr">34</xref></sup>, we determined that <italic>OR5T1</italic> and <italic>PDE6G</italic> have very low or absent mRNA expression in neuroblastoma (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 3</xref>). Therefore, we focused our analysis on five genes with statistical and biological rationale for neuroblastoma involvement: <italic>ALK</italic>, <italic>PTPN11</italic>, <italic>ATRX, MYCN</italic>, and <italic>NRAS</italic>.</p><p id="P10"><italic>ALK</italic> and <italic>PTPN11</italic> were previously reported to be mutated in up to 10% and 3.4% of neuroblastoma cases respectively<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R35" ref-type="bibr">35</xref>–<xref rid="R37" ref-type="bibr">37</xref></sup> consistent with our screen here. All 22 somatic <italic>ALK</italic> mutations (9.2%) were restricted to the kinase domain and all 7 <italic>PTPN11</italic> mutations (2.9%) have been previously reported<sup><xref rid="R33" ref-type="bibr">33</xref>,<xref rid="R37" ref-type="bibr">37</xref>–<xref rid="R40" ref-type="bibr">40</xref></sup>. While no pathogenic germline <italic>PTPN11</italic> variants were found, two patients had germline <italic>ALK</italic> variants: pathogenic, activating p.Arg1275Gln and the likely benign, kinase-dead p.IIle1250Thr. Activating <italic>ALK</italic> variants were not associated with <italic>MYCN</italic> amplification (p=0.28). Contrary to a prior report<sup><xref rid="R41" ref-type="bibr">41</xref></sup>, we did not observe p.Phe1174 mutations in a higher proportion of <italic>MYCN</italic>-amplified cases than wild-type <italic>ALK</italic> cases (p=0.53). Notably, <italic>ALK</italic> was the only significantly mutated gene with an association with clinical outcome, as mutation positive cases had a decreased overall survival probability (p=0.0103, <xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 4</xref>).</p><p id="P11">Loss-of-function mutations or deletions of RNA-helicase <italic>ATRX</italic> have recently been described in neuroblastoma<sup><xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R18" ref-type="bibr">18</xref></sup>. We observed putative loss of function <italic>ATRX</italic> alterations in 9.6% of cases (6 mutations, 17 multi-exon deletions; <xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 5</xref>). We confirmed prior observations<sup><xref rid="R18" ref-type="bibr">18</xref></sup> that alterations of <italic>ATRX</italic> and <italic>MYCN</italic> were mutually exclusive and that <italic>ATRX</italic> alterations were enriched in older children (p=0.0021, <xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 6</xref>). One case had an apparent gain of exons 18-26 of unclear functional effect.</p><p id="P12">High-level <italic>MYCN</italic> amplification has long been known as a negative prognostic indicator in neuroblastoma<sup><xref rid="R42" ref-type="bibr">42</xref></sup>, but activating mutations have not been described. In our cohort, four cases without <italic>MYCN</italic> amplification had an identical p.Phe44Leu alteration. All four tumors had regional single-copy gain of chromosome 2p, three with gain of the mutant allele. In a tumor with matched RNA-seq data, the mutant allele was expressed at a level twice that of wild-type. This mutation has been documented in single cases of glioblastoma, medulloblastoma, and pancreatic adenocarcinoma<sup><xref rid="R33" ref-type="bibr">33</xref></sup>, and is scored as functional by PolyPhen2<sup><xref rid="R43" ref-type="bibr">43</xref></sup> (score 0.971), SIFT<sup><xref rid="R44" ref-type="bibr">44</xref></sup> (score 0), MutationTaster<sup><xref rid="R45" ref-type="bibr">45</xref></sup> (score 1.0), and AlignGVGD<sup><xref rid="R46" ref-type="bibr">46</xref></sup> (score C65). The residue is highly conserved across the MYC superfamily (pfam01056; <xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 7</xref>)<sup><xref rid="R47" ref-type="bibr">47</xref></sup>, and an additional tumor had a mutation in the homologous domain of <italic>MYC</italic>, p.Thr58Ile, a common mutation in Burkitt lymphoma<sup><xref rid="R48" ref-type="bibr">48</xref></sup>. Despite the relative infrequency of <italic>MYCN</italic> mutations in neuroblastoma, these mutations may be clinically relevant if they confer myc dependency similar to high-level amplification.</p><p id="P13">We next searched, as previously described<sup><xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R27" ref-type="bibr">27</xref></sup>, for enrichment of somatic mutations in components of canonical pathways<sup><xref rid="R49" ref-type="bibr">49</xref></sup>, chromatin modifiers, or splice factors<sup><xref rid="R50" ref-type="bibr">50</xref>–<xref rid="R52" ref-type="bibr">52</xref></sup>. Of 857 gene sets, 12 were enriched for somatic mutation (q<0.1, <xref ref-type="supplementary-material" rid="SD6">Supplementary Table 7</xref>), 8 implicating RAS/MAPK signaling components. Contrary to Molenaar and colleagues<sup><xref rid="R17" ref-type="bibr">17</xref></sup>, we did not see any mutations in <italic>TIAM1</italic> nor any enrichment of mutations in genes regulating neuritogenesis and GTPase activity through the Rac/Rho pathway (q>0.275, <xref ref-type="supplementary-material" rid="SD1">Supplementary Text</xref>). However, an analysis of their mutation list using our methods recapitulated their finding of significant mutation frequencies in guanine nucleotide exchange factors (q=6.26×10<sup>−3</sup>) and GTPase activating proteins (q=3.15×10<sup>−5</sup>), but none of the 12 pathways identified by analysis of our cohort (q≥0.848). This comparison suggests limitations to current gene set and pathway analysis methods, especially when mutation frequencies are low.</p><p id="P14">Molenaar and colleagues reported somatic mutations in <italic>FANCM</italic> and <italic>FAN1</italic> in two cases with chromothripsis<sup><xref rid="R17" ref-type="bibr">17</xref></sup>. While we observed 3 cases with <italic>FANCM</italic> mutations, Fanconi-Anemia genes were not enriched for somatic mutation (q=0.764, <xref ref-type="supplementary-material" rid="SD6">Supplementary Table 7</xref>), nor did we detect any exonic breakpoints in cases with <italic>FANCM</italic> mutations. This is perhaps not surprising given the relatively small portion of the genome queried by exome sequencing, so we cannot rule out an association of <italic>FANCM</italic> mutations and chromothripsis at this time.</p><p id="P15">Of the five recurrently mutated genes reported by Sausen and colleagues, we found mutations in <italic>ALK</italic> (see above), <italic>ARID1A</italic> (p.G1139V, p.G1942D) and <italic>VANGL1</italic> (p.Gly308Trp). Two cases had focal deletions of <italic>ARID1B</italic>: PASLGS had an exon 2 deletion (<xref ref-type="fig" rid="F2">Figure 2</xref>, <xref ref-type="supplementary-material" rid="SD9">Supplementary Table 10</xref>) and PARGKK had loss of exons 1-3. Of the 113 genes with apparent hemizygous mutations on 1p, 3p, and 11q (arms frequently lost in neuroblastoma), only <italic>PBRM1</italic> showed loss-of-function mutations in two cases, all others were singleton variations (<xref ref-type="supplementary-material" rid="SD1">Supplementary Note</xref>).</p><p id="P16">To identify rare <italic>germline</italic> variants predisposing to neuroblastoma, we searched for enrichment of clinically-annotated variants from the ClinVar database and loss-of-function variants in cancer genes<sup><xref rid="R53" ref-type="bibr">53</xref>–<xref rid="R55" ref-type="bibr">55</xref></sup> in the blood-derived DNA samples from our WES cohort, compared to normal DNAs from 1,974 European American individuals sequenced by the Exome Sequencing Project (ESP)<sup><xref rid="R56" ref-type="bibr">56</xref></sup> (see <xref ref-type="supplementary-material" rid="SD1">Methods</xref>, <xref ref-type="supplementary-material" rid="SD7">Supplementary Tables 8</xref> and <xref ref-type="supplementary-material" rid="SD8">9</xref>, and <xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 8</xref>). This approach nominated five genes with candidate germline pathogenic variants: <italic>ALK</italic>, <italic>CHEK2</italic>, <italic>PINK1</italic>, <italic>TP53</italic> and <italic>BARD1</italic> (<xref ref-type="table" rid="T2">Table 2</xref>). The <italic>ALK</italic> p.Arg1275Gln variant has been reported as the most common pathogenic variant in familial neuroblastoma<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R9" ref-type="bibr">9</xref></sup>. Three <italic>CHEK2</italic> germline variants destabilize the protein<sup><xref rid="R57" ref-type="bibr">57</xref>,<xref rid="R58" ref-type="bibr">58</xref></sup> and are reported cancer predisposition alleles<sup><xref rid="R58" ref-type="bibr">58</xref>,<xref rid="R59" ref-type="bibr">59</xref></sup> not previously described in neuroblastoma. The <italic>TP53</italic> p.Pro219Ser variant has been associated with Li-Fraumeni syndrome<sup><xref rid="R60" ref-type="bibr">60</xref></sup>, consistent with prior reports of neuroblastomas occurring in these families<sup><xref rid="R61" ref-type="bibr">61</xref></sup>. Two <italic>PINK1</italic> variants are associated with Parkinson disease<sup><xref rid="R62" ref-type="bibr">62</xref>–<xref rid="R64" ref-type="bibr">64</xref></sup>, and this gene is known to be transcriptionally regulated by myc proteins<sup><xref rid="R65" ref-type="bibr">65</xref></sup>. Finally, two loss of function variants in <italic>BARD1</italic>, a recently discovered neuroblastoma susceptibility locus<sup><xref rid="R14" ref-type="bibr">14</xref></sup>, support the concept that rare variants may exist at loci where common polymorphisms impact disease occurrence. Another member of the BRCA complex, <italic>PALB2</italic>, had a germline variant predicted to ablate a splice site in one case (<xref ref-type="table" rid="T2">Table 2</xref>) and a somatic missense mutation in another (<xref ref-type="fig" rid="F1">Figure 1</xref>, <xref ref-type="supplementary-material" rid="SD2">Supplementary Table 3</xref>). Taken together, our conservative approach to identifying putatively pathogenic germline variants suggest that these events may play a larger role in neuroblastoma initiation than previously suspected.</p><p id="P17">Structural analysis of the 19 WGS cases identified a median of 41.5 breakpoints per case (range 29 to 143, <xref ref-type="fig" rid="F2">Figure 2</xref>, <xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 9</xref>). Overall, 83 rearrangements affected 97 genes, 22 of which had evidence from RNA-seq data (<xref ref-type="supplementary-material" rid="SD9">Supplementary Table 10</xref>). While 11q;17q translocations were found in 3 of 19 cases (1 case with two events), we did not observe any recurrent fusion transcripts in our cohort. <italic>NBAS,</italic> located near <italic>MYCN</italic> on the short arm of chromosome 2, was the most commonly rearranged gene and harbored 11 distinct events in three <italic>MYCN</italic>-amplified cases (<xref ref-type="fig" rid="F2">Figure 2</xref>). Substantial local rearrangement was seen in three cases, all affecting the vicinity of <italic>MYCN</italic> and <italic>NBAS</italic> loci, but the numerous complex copy number states and retention of heterozygosity in lower copy number regions are more consistent with an episomal model<sup><xref rid="R66" ref-type="bibr">66</xref></sup> than chromothripsis<sup><xref rid="R67" ref-type="bibr">67</xref></sup> in the 19 cases evaluated here (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 10</xref>). No other areas of clustered chromosomal breakpoints suggestive of chromothripsis were identified in the WGS cases, nor were any clusters evident within coding regions of 142 WES cases sequenced from native DNA.</p><p id="P18">High-risk neuroblastomas harbor a very low frequency of recurrent somatic mutations. We do not expect that significant numbers of mutations went undetected as tumor purities were high and identical methods have identified significant mutations in other tumor types<sup><xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R27" ref-type="bibr">27</xref>,<xref rid="R30" ref-type="bibr">30</xref></sup>. The relative paucity of recurrent mutations challenges the concept that druggable targets can be defined in each patient by DNA sequencing alone. Our data suggest that the majority of high-risk neuroblastomas may be driven by rare germline variants and/or by copy number alterations and epigenetic modifications during tumor evolution. The striking lack of precisely defined genomic causes of this highly aggressive pediatric neoplasm reinforces the need to understand the interplay of host genetic factors, somatic mutations, chromosomal abnormalities, and epigenetic alterations in the context of nervous system development.</p><sec sec-type="methods" specific-use="web-only" id="S1"><title>Online Methods</title><sec id="S2"><title>Summary</title><p id="P19">Paired tumor/normal DNA from 240 high-risk neuroblastoma cases were identified from the Children Oncology Group biobank on the basis of subjects having metastatic disease and preferably being between 18 months and 5.5 years of age at diagnosis. Whole genome sequences were generated for 19 pairs using two technologies: 9 Illumina sequencing-by-synthesis<sup><xref rid="R20" ref-type="bibr">20</xref></sup>, 9 Complete Genomics probe-anchor-ligation<sup><xref rid="R21" ref-type="bibr">21</xref></sup>, and 1 using both. RNA-seq data were generated for the 10 Illumina WGS cases. Whole exome sequences of 222 pairs were generated using in-solution hybrid capture<sup><xref rid="R69" ref-type="bibr">69</xref></sup> followed by Illumina sequencing. Phi29-based whole genome amplification was used to generate sufficient tumor and matched normal DNA template from 80 cases. Reads were aligned to build hg19/GRCh37 of the human genome reference sequence using Burrows-Wheeler Aligner<sup><xref rid="R70" ref-type="bibr">70</xref></sup> and somatic mutations were detected using SNVmix<sup><xref rid="R71" ref-type="bibr">71</xref></sup> (Illumina genomes and RNA-seq), muTect<sup><xref rid="R27" ref-type="bibr">27</xref></sup> (exomes) and version 2 of the Complete Genomics’ custom caller<sup><xref rid="R21" ref-type="bibr">21</xref>,<xref rid="R72" ref-type="bibr">72</xref></sup> (Complete Genomics genomes). Mutations were annotated using Oncotator and MutSig<sup><xref rid="R32" ref-type="bibr">32</xref></sup> was used to identify genes mutated at significant frequencies. PathSeq<sup><xref rid="R73" ref-type="bibr">73</xref></sup> was used to query exome data sets for reads supporting viral infection. These and other tools used for exome sequence analysis are described on the Broad Institute Cancer Genome Analysis website. Rearrangements were detected from whole genome data using trans-ABySS de novo assembly<sup><xref rid="R74" ref-type="bibr">74</xref></sup> and Complete Genomics’ custom software<sup><xref rid="R75" ref-type="bibr">75</xref></sup>. Somatic mutations and structural alterations were confirmed by mass-spectrometric genotyping (Sequenom) or PCR followed by Sanger or Illumina sequencing.</p></sec><sec id="S3"><title>Sample selection and preparation</title><p id="P20">This study focused on high-risk neuroblastoma, and we attempted to reduce heterogeneity by restricting eligibility to subjects with stage 4 (metastatic) disease and preferably between 1.5 and 5.5 years of age at diagnosis (median 3.4 years, range 1.5 – 16.5 years) (<xref ref-type="supplementary-material" rid="SD2">Supplementary Table 1</xref>). All specimens were obtained at original diagnosis after informed consent at Children’s Oncology Group member institutions. Males outnumbered females 149 to 91 (62%). Amplification of the <italic>MYCN</italic> oncogene was seen in 77 tumors (32%) by fluorescence in situ hybridization and 131 (55%) had a diploid DNA index by flow cytometry. Flash frozen tumor samples were analyzed for percent tumor content by histopathology and samples with <75% tumor content were excluded.</p></sec><sec id="S4"><title>Genome sequencing and analysis</title><sec id="S5"><title>Illumina sequencing technology (BC Cancer Agency)</title><p id="P21">Whole genome and transcriptome libraries of 10 cases sequenced using Illumina technology at the BC Cancer Agency were constructed from input amounts of 2-4 μg DNA and 3-10 μg DNaseI-treated total RNA, respectively, following previously described protocols<sup><xref rid="R76" ref-type="bibr">76</xref>,<xref rid="R77" ref-type="bibr">77</xref></sup>. The sequencing was carried out using Illumina GAIIx (Illumina, Hayward, CA, USA) instruments as per the manufacturer’s instructions. Paired end reads generated from genome and transcriptome sequencing were aligned to the hg19/GRCh37 reference human genome assembly<sup><xref rid="R78" ref-type="bibr">78</xref></sup> using BWA<sup><xref rid="R70" ref-type="bibr">70</xref></sup> version 0.5.7. RNA-seq reads were processed as previously described<sup><xref rid="R79" ref-type="bibr">79</xref>,<xref rid="R80" ref-type="bibr">80</xref></sup>.</p><p id="P22">Single nucleotide variant (SNV) detection in Illumina tumor genome and transcriptome data was performed using SNVMix2 with filtering to include SNVs such that combined probability of either heterozygous or homozygous SNV was greater than 0.99<sup><xref rid="R71" ref-type="bibr">71</xref></sup>. Reads flagged as poor quality according to Illumina chastity filter, duplicate reads, and reads aligned with a mapping quality < 40 were excluded from SNV calling. The somatic status of SNV calls was determined using read evidence from the SAMtools version 0.1.13 pileup<sup><xref rid="R81" ref-type="bibr">81</xref></sup> constructed at the variant positions in the matched normal genome. Positions with normal genome coverage by least 5 unique reads supporting the reference allele were considered somatic. The candidate somatic SNV calls were inspected using IGV<sup><xref rid="R82" ref-type="bibr">82</xref></sup>, and only those calls confirmed by visual inspection were used in the analysis.</p><p id="P23">Short insertions and deletions were detected in the tumor and normal Illumina WGS bam files using two software programs, Pindel<sup><xref rid="R83" ref-type="bibr">83</xref></sup> and SAMtools<sup><xref rid="R81" ref-type="bibr">81</xref></sup>. The mean and standard deviation of read pair insert sizes were calculated for all samples to be ~400 bp, and this value was used in each Pindel run. The Pindel short insertion output was filtered to select events that mapped to annotated genes (Ensembl59). Candidate somatic short insertion events that recurred in at least two cases were manually reviewed using the Integrative Genomics Viewer<sup><xref rid="R82" ref-type="bibr">82</xref></sup>. The output from SAMtools pileup and varFilter functionality<sup><xref rid="R81" ref-type="bibr">81</xref></sup> run separately on normal and tumor libraries were filtered to identify somatic events. In the normals, any event with a total coverage of less than 8 was discarded. In the tumor libraries, only indels supported by at least 16% of reads at a locus were considered. After the filtering, any indel present in one or more normal libraries was flagged as germline. None of the candidate somatic coding indels from the Pindel or SAMtools analysis were confirmed by manual inspection using IGV<sup><xref rid="R82" ref-type="bibr">82</xref></sup>, consistent with the low frequency of somatic indels in the rest of the cohort (median 1 across all other WGS and WES cases, 86 with no indels).</p><p id="P24">Copy number analysis of the Illumina WGS data was conducted using a previously described hidden Markov model (HMM) method<sup><xref rid="R84" ref-type="bibr">84</xref></sup>. Briefly, 50 million reads with mapping qualities >10 were randomly selected from matched tumor and normal data. Reads were divided into bins of 200 adjacent alignments and the ratio of tumor/normal reads was calculated for each bin. These ratios were then normalized by subtracting the median of these ratios across the whole genome. This resulted in a metric of relative read density from the tumors and matched normals in bins of variable length along the genome, where bin width was inversely proportional to the number of mapped reads in the normal genome. GC bias correction was applied, and an HMM was used to classify and segment the tumor genome into continuous regions of somatic copy number loss (HMM state 1), neutrality (HMM state 2), slight gain (HMM state 3), gain (HMM state 4) or high gain (HMM state 5).</p><p id="P25">To identify candidate transcript rearrangements, we used ABySS<sup><xref rid="R85" ref-type="bibr">85</xref></sup> to perform d<italic>e novo</italic> transcriptome assembly of ten RNA-seq datasets. To identify known and novel transcript structures, the assembled contigs were aligned to the hg19 (GRCh37) human reference genome assembly and compared to annotated transcript models using the trans-ABySS pipeline<sup><xref rid="R74" ref-type="bibr">74</xref></sup>. This approach identified all contigs with two discrete genomic BLAT alignments. The top five scoring alignments were manually inspected to remove likely false positive events primarily due to few supporting reads. Local rearrangements were identified from contigs with single, gapped BLAT alignments and supporting read evidence from manual review. Targeted assembly of the candidate rearrangement regions was performed to validate the events in the genomic data.</p></sec><sec id="S6"><title>Complete Genomics sequencing technology</title><p id="P26">Whole genome sequencing libraries of 10 cases were constructed from 3.5 ug of DNA and sequenced using Complete Genomics Inc. (CGI) technology<sup><xref rid="R21" ref-type="bibr">21</xref></sup>. Sequencing and alignment of reads to hg19/GRCh37 reference human genome assembly was performed by the CGI Cancer Sequencing service, analytic pipeline version 1 (See Complete Genomics Analysis Tools website). Mutation call files provided by this service were used to extract somatic mutations using the criteria in <xref ref-type="supplementary-material" rid="SD1">Supplementary Table 11</xref>. CGI also provided flat files containing candidate rearrangements and segmental relative copy number ratios derived from normalized read counts from matched tumor and normal samples. Copy number calls were converted to the five HMM states described above using the criteria listed in <xref ref-type="supplementary-material" rid="SD1">Supplementary Table 12</xref>.</p></sec></sec><sec id="S7"><title>Exome sequencing and analysis</title><p id="P27">The generation, sequencing, and analysis of 222 pairs of exome libraries at the Broad Institute was performed using a previously described protocol<sup><xref rid="R27" ref-type="bibr">27</xref></sup>. Due to the small quantities of DNA available, 81 DNA samples were amplified using Phi29-based multiple-strand displacement whole genome amplification (Repli-g service, QIAgen). Exonic regions were captured by in-solution hybridization using RNA baits similar to those described<sup><xref rid="R27" ref-type="bibr">27</xref></sup> but supplemented with additional probes capturing additional genes listed in ReqSeq<sup><xref rid="R78" ref-type="bibr">78</xref></sup> in addition to the original Consensus Coding Sequence (CCDS)<sup><xref rid="R78" ref-type="bibr">78</xref></sup> set. In total, ~33 Mb of genomic sequence was targeted, consisting of 193,094 exons from 18,863 genes annotated by the CCDS<sup><xref rid="R86" ref-type="bibr">86</xref></sup> and RefSeq<sup><xref rid="R86" ref-type="bibr">86</xref></sup> databases as coding for protein or micro-RNA (accessed November 2010). Sequencing of 76 bp paired-end reads was performed using Illumina Genome Analyzer IIx and HiSeq 2000 instruments. Reads were aligned to the hg19/GRCh37 build of the reference human genome sequence<sup><xref rid="R78" ref-type="bibr">78</xref></sup>using BWA<sup><xref rid="R70" ref-type="bibr">70</xref></sup>. PCR duplicates were flagged in the bam files for exclusion from further analysis using the Picard MarkDuplicates tool. To confirm sample identity, copy number profiles derived from sequence data were compared with those derived from microarray data when available. Candidate somatic base substitutions were detected using muTect (previously referred to as muTector<sup><xref rid="R27" ref-type="bibr">27</xref></sup>) and insertions and deletions were detected using IndelGenotyper<sup><xref rid="R27" ref-type="bibr">27</xref></sup>. Segmental copy number ratios were calculated as the ratio of tumor fraction read-depth to the average fractional read-depth observed in normal samples for that region.</p><sec id="S8"><title>Removal of oxoG library preparation artifact</title><p id="P28">Cases sequenced using WGA and native DNA were sequenced more than eight months apart by the Sequencing Platform at the Broad Institute. Initial comparison of candidate mutation calls from these two data sets identified a preponderance of apparent G>T or C>A substitutions of low allele fraction (<0.15) and within specific sequence contexts (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 2A</xref>). We subsequently characterized this artifact and developed a method to detect and remove these events. In brief, these artifacts are introduced at the DNA shearing step of the library construction process and arise from the oxidation of guanine bases (oxoG) by high-energy sonication. During downstream PCR, oxoG bases preferentially pair with thymine rather than cytosine, resulting in apparent G>T or C>A substitutions of low allele fraction and enriched within specific sequence contexts (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 2B</xref>). Consistent with this mechanism, the intensity of the sonication process was increased with the introduction of a new 150 bp shearing protocol between preparation of the WGA and native DNA samples.</p><p id="P29">The number of artifacts in a library was apparently sample-dependent (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 2C</xref>) and these events were found in unmatched tumor and normal libraries. In some cases, thousands of candidate mutations were called in cases with a heavily affected tumor sample and an unaffected normal. However, nearly every sample had at least one such artifact and we have observed similar events in publically available data sets from other centers, suggesting a common artifact mode that was exacerbated in some of our samples. To address this problem, we devised a method to differentiate oxoG artifacts from bona fide mutations.</p><p id="P30">Due to the modification of only one strand of a G:C base-pair (i.e. only the G base), reads supporting the artifact have characteristic read-orientation conferred upon adapter ligation. Therefore, all reads supporting an artifact were almost exclusively derived from the first or second read of the Illumina HiSeq instrument. Bona fide variants are supported by near-equal numbers of first and second reads. We made use of the skewed read-orientation combinations and low allele fractions characteristic of this artifact to identify and remove oxoG artifacts from mutation calls in our cohort (i.e. removal of all variants with allele fraction <0.1 or exclusively supported by a single read orientation). This method restored the mutation pattern and frequency seen in earlier sequencing of WGA cases (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 2D</xref>).</p></sec></sec><sec id="S9"><title>Verification of somatic mutations and rearrangements</title><p id="P31">We used a combination of genotyping and sequencing technologies to verify random candidate mutations (PCR/Sanger and PCR/HiSeq sequencing of candidates from Complete Genomics and BC Cancer Agency Illumina WGS and RNA-seq data), as well as mutations supportive of our significance analyses (Sequenom and PCR/MiSeq of WES and WGS data). Combining all of the validation experiments resulted in overall validation rates of 87% for substitutions (525/605 candidates, 241/282 coding) and 34% for indels (27/79 candidates, 26/41 coding). Some mutations were verified using multiple technologies and therefore the total number of candidate mutations verified is lower than the sum total of mutations described in the <xref ref-type="supplementary-material" rid="SD1">Supplementary Note</xref>. See <xref ref-type="supplementary-material" rid="SD1">Supplementary Note</xref> for details and cross-platform comparisons.</p></sec><sec id="S10"><title>Integrated analysis of somatic variation from exome and genome data sets</title><p id="P32">Somatic mutations detected in WGS, WES, and RNA-seq data sets were annotated using Oncotator (See Broad Institute Cancer Genome Analysis webpage). Genes mutated at a statistically significant frequency were identified using MutSig<sup><xref rid="R32" ref-type="bibr">32</xref></sup>, a method that identifies genes with mutation frequencies greater than expected by chance, given detected background mutation rates, gene length and callable sequence in each tumor/normal pair. The relationship between mutation frequency and age of diagnosis was tested using the Spearman rank test. The implementation of the Kolmogorov-Smirnov test in R version 2.11.1 (ks.test) was used to test differences in mutation frequency distributions of several clinical variables (<xref ref-type="supplementary-material" rid="SD3">Supplementary Table 4</xref>).</p><p id="P33">To identify frequently mutated groups of genes, we applied the MutSig algorithm to sets of genes rather than individual genes. These gene sets consisted of 853 “canonical pathways” curated by Gene Set Enrichment Analysis<sup><xref rid="R49" ref-type="bibr">49</xref></sup> as well as a lists of chromatin modifiers and splice factors curated from the literature<sup><xref rid="R50" ref-type="bibr">50</xref>–<xref rid="R52" ref-type="bibr">52</xref></sup> (<xref ref-type="supplementary-material" rid="SD5">Supplementary Table 6</xref> “CHROMATIN_MODIFIERS”, “EPIGENETIC_COMPLEXES”, “SPLICE_FACTORS”, and “DNA_METHYLATION”). Significance analysis of mutations and pathways reported by Molenaar et al<sup><xref rid="R17" ref-type="bibr">17</xref></sup> are provided in the <xref ref-type="supplementary-material" rid="SD1">Supplementary Note</xref>.</p></sec><sec id="S11"><title>Expression analysis of significantly mutated genes</title><p id="P34">Alignments of RNA-seq data were used to estimate gene expression levels. Gene coverage analysis was based on Ensembl gene annotations (homo_sapiens_core_59_37d). These annotations were collapsed into a single gene model containing the union of exonic bases from all annotated transcripts of the gene. The analysis used SAMtools pileup to get the per-base coverage depths, and excluded reads with mapping quality < 10 and reads flagged as poor quality according to the Illumina chastity filter. Duplicate reads were kept in this analysis. The reads per kilobase of exon model per million mapped reads (RPKM) metric was used to estimate gene expression level<sup><xref rid="R87" ref-type="bibr">87</xref></sup>. RPKM was calculated using the following formula:
where
<disp-formula id="FD1"><mml:math display="block" id="M1" overflow="scroll"><mml:mfrac><mml:mrow><mml:mo>(</mml:mo><mml:mtext>number of reads mapped to all exons in a gene</mml:mtext><mml:mspace width="thinmathspace"></mml:mspace><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>9</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mtext>NORM</mml:mtext><mml:mi>_</mml:mi><mml:mtext>TOTAL</mml:mtext><mml:mspace width="thinmathspace"></mml:mspace><mml:mo>×</mml:mo><mml:mtext>sum of the lengths of all exons in the gene</mml:mtext><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:math></disp-formula>(NORM_TOTAL x sum of the lengths of all exons in the gene) NORM_TOTAL = the total number of reads that are mapped to non-mitochondrial exons The expression threshold for each RNA-seq library was determined as the 95<sup>th</sup> percentile of the distribution of the expression levels of silent intergenic regions computed and defined as described on the ALEXA platform website<sup><xref rid="R88" ref-type="bibr">88</xref></sup>. Using this threshold, we determined that <italic>ALK</italic>, <italic>PTPN11</italic>, <italic>ATRX, MYCN</italic>, and <italic>NRAS</italic> were expressed above background in each of the 10 cases with available RNA-seq data. In contrast, <italic>OR5T1</italic> and <italic>PDE6G</italic> were not expressed above background in at least 9 out of 10 cases in our cohort.</p><p id="P35">The TARGET neuroblastoma Affymetrix Human Exon Array data (manuscript in preparation) of 250 primary diagnostic tumor specimens was normalized by quantile normalization and summarized using robust multichip average (Affymetrix Power Tools software package version 1.12). This dataset includes samples from 220 patients with high risk and 30 with low risk disease. The transcript level data of core probe sets for each sample were averaged based on gene symbol annotations provided by the manufacturer (17,422 unique genes). To identify relative expression of genes in neuroblastomas, the percentile values of <italic>ALK</italic>, <italic>PTPN11</italic>, <italic>ATRX, MYCN, NRAS, OR5T1,</italic> and <italic>PDE6G</italic> were computed from the cumulative distribution function calculated for each sample’s gene profile. Same analysis was conducted on Agilent 44K microarray data (19,528 unique genes) of 416 neuroblastoma tumors from the MicroArray Quality Control (MAQC)-II study (GEO GSE16716)<sup><xref rid="R88" ref-type="bibr">88</xref></sup>. This data set includes tumors from patients diagnosed with high risk (n=135), intermediate risk (n=34), or low risk (n=247) neuroblastoma. Su <italic>et al</italic><sup><xref rid="R89" ref-type="bibr">89</xref></sup> demonstrated that individual tissues express 30-40% of all genes by comparing microarray expression levels across panels of human and mouse tissues. The median percentile levels for <italic>ALK, PTPN11, ATRX, MYCN</italic>, and <italic>NRAS</italic> in both data sets are well within the percentile range of genes that are likely expressed in a tissue. The low median percentile levels for <italic>OR5T1</italic> and <italic>PDE6G</italic> (less than 40%ile and 25%ile in TARGET and MAQC-II data) suggest low expression levels in neuroblastoma tumors (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 3</xref>).</p></sec><sec id="S12"><title>Germline variant analysis</title><p id="P36">Detection of pathogenic germline variation at base-pair resolution in a cohort of cancer patients is complicated by selection of an appropriately matched and sized control population, relatively high carrier frequencies for unrelated disorders, and complex genetics underlying cancer predisposition. To nominate germline variants predisposing to neuroblastoma, we searched for enrichment of putative functional variants in the blood-derived DNA samples from our WES cohort compared to normal DNAs from 1,974 European American individuals sequenced by the National Heart, Lung, and Blood Institute Grand Opportunity Exome Sequencing Project (ESP)<sup><xref rid="R56" ref-type="bibr">56</xref></sup>. As indel calls from the ESP cohort were not publically available at the time of our study, we did not include them in our analysis.</p><p id="P37">To ensure consistency and accuracy of germline variant detection, all neuroblastoma WES cases were called simultaneously with 800 WES cases from the 1000Genomes project using the UnifiedGenotyper from the Genome Analysis Toolkit. A principal component analysis of the genotype calls was performed to determine the ethnic background of our cases (<xref ref-type="supplementary-material" rid="SD1">Supplementary Figure 7</xref>) with respect to three 1000Genomes populations. As over 80% of our cohort was Caucasian or ad-mixed Caucasian, we downloaded genotyping calls and coverage information from 1,974 European American individuals available on the ESP website to serve as a control population. To focus our analysis on rare variation consistent with the low prevalence of neuroblastoma, we removed from both data sets all variants present in individuals sequenced as part of the 1000 Genomes project. Next, we generated two lists of rare variants: overlaps with clinically-reported variants recorded in ClinVar (downloaded 4/27/2012, 284 variants in neuroblastoma, 2,947 in ESP) and loss-of-function variants in any of 924 genes listed in the Cancer Gene Census<sup><xref rid="R53" ref-type="bibr">53</xref></sup>, Familial Cancer database<sup><xref rid="R54" ref-type="bibr">54</xref></sup>, or a list of DNA repair genes<sup><xref rid="R55" ref-type="bibr">55</xref></sup> (86 neuroblastoma, 1,068 ESP). We then tested each gene for significant enrichment of variants in the neuroblastoma compared to the ESP cohort (1-tailed Fisher’s exact test, <xref ref-type="supplementary-material" rid="SD6">Supplementary Tables 7</xref> and <xref ref-type="supplementary-material" rid="SD7">8</xref>).</p><p id="P38">The germline ClinVar analysis uncovered four genes of significance driven by single variants seen at greater frequency in neuroblastoma compared to ESP: <italic>CYP2D6, NOD2, SLC34A3,</italic> and <italic>HPD</italic>. All of these variants are present at low frequency in an expanded European American ESP cohort (rs5030865 in 1/8,524 chromosomes, rs104895438 in 5/8600, rs121918239 in 14/8514, and rs137852868 in 11/8600), suggesting they are benign polymorphisms. Note that, while candidates detected by this approach are not significant after correction for multiple testing, we believe there is sufficient biological rationale and supporting evidence for validation in larger cohorts. We also looked for overlap with sites recorded in COSMIC<sup><xref rid="R33" ref-type="bibr">33</xref></sup>. This analysis identified a <italic>TP53</italic> variant associated with Li-Fraumeni syndrome<sup><xref rid="R60" ref-type="bibr">60</xref></sup>.</p><p id="P39"><bold>Supplementary Material</bold> Supplementary tables 1-10 are provided as separate Microsoft Excel files.</p><p id="P40">Supplementary Note: Additional verification data, significance analyses, and discussion of complex rearrangements</p><p id="P41">Supplementary Table 1, Master data table: Clinical and molecular data for all neuroblastoma cases including identifiers from other databases, sequencing technologies used, clinical and biological covariates, and matrix of mutation calls</p><p id="P42">Supplementary Table 2, Coverage: Fraction of bases in each exon with sufficient coverage for mutation detection</p><p id="P43">Supplementary Table 3, Full mutation list: All coding somatic mutations called in all cases</p><p id="P44">Supplementary Table 4, Mutation frequency correlates: Statistical comparison of mutation frequency distributions (Kolmogorov-Smirnov) when comparing cases by clinical and biological variables</p><p id="P45">Supplementary Table 5, Pathogens: Counts of sequencing reads in exome capture libraries corresponding to known viruses</p><p id="P46">Supplementary Table 6, MutSig: Significance analysis of somatic mutation frequency in all genes and a focused set of genes listed in the Catalogue of Somatic Mutations in Cancer</p><p id="P47">Supplementary Table 7, Gene set significance analysis: Full list of pathways, member genes, mutated genes, and significance values as calculated by MutSig with and without significantly mutated genes</p><p id="P48">Supplementary Table 8, Significance analysis of germline ClinVar variation: List of all genes tested for enrichment in neuroblastoma of ClinVar variants</p><p id="P49">Supplementary Table 9, Significance analysis of germline loss-of-function variants in Cancer Census, cancer syndrome, or DNA repair genes</p><p id="P50">Supplementary Table 10, Structural rearrangements: All structural variants detected in neuroblastoma genomes or transcriptomes</p><p id="P51">Supplementary Table 11, Criteria used to identify somatic mutations in call files provided by the Complete Genomics Cancer Sequencing service</p><p id="P52">Supplementary Table 12, Criteria used to identify copy number alterations in call files provided by the Complete Genomics Cancer Sequencing service</p><p id="P53">Supplementary Table 13. Primer sequences used for DNA verification of structural variants and gene fusions in WGS cases</p><p id="P54">Supplementary Table 14. Primer sequences used for RNA verification of structural variants and gene fusions detected in WGS cases</p></sec></sec><sec sec-type="supplementary-material" id="SM"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>1</label><media xlink:href="NIHMS474900-supplement-1.pdf" mimetype="application" mime-subtype="pdf" orientation="portrait" xlink:type="simple" id="d37e1908" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD10"><label>8</label><media xlink:href="NIHMS474900-supplement-8.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1912" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD11"><label>9</label><media xlink:href="NIHMS474900-supplement-9.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1916" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD2"><label>10</label><media xlink:href="NIHMS474900-supplement-10.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1920" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD3"><label>11</label><media xlink:href="NIHMS474900-supplement-11.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1924" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD4"><label>2</label><media xlink:href="NIHMS474900-supplement-2.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1928" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD5"><label>3</label><media xlink:href="NIHMS474900-supplement-3.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1932" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD6"><label>4</label><media xlink:href="NIHMS474900-supplement-4.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1936" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD7"><label>5</label><media xlink:href="NIHMS474900-supplement-5.xls" mimetype="application" mime-subtype="vnd.ms-excel" orientation="portrait" xlink:type="simple" id="d37e1940" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD8"><label>6</label><media xlink:href="NIHMS474900-supplement-6.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1944" position="anchor"></media></supplementary-material><supplementary-material content-type="local-data" id="SD9"><label>7</label><media xlink:href="NIHMS474900-supplement-7.xlsx" mimetype="application" mime-subtype="octet-stream" orientation="portrait" xlink:type="simple" id="d37e1949" position="anchor"></media></supplementary-material></sec></body><back><ack id="S13"><title>Acknowledgements</title><p>The investigators thank the Children’s Oncology Group for the collection and annotation of samples for this study and all TARGET co-investigators for scientific support of this project. Funding was provided by National Institutes of Health grants CA98543 and CA98413 to the Children’s Oncology Group, RC1MD004418 to the TARGET consortium, CA124709 (J.M.M.) and CA060104 (R.C.C.), and NHGRI U54HG003067 (E.S.L., D.A., S.B.G., G.G., M.M.) as well as a contract from the National Cancer Institute, National Institute of Health (HHSN261200800001E). Additional support included a Canadian Institutes of Health Research Fellowship (T.J.P.), a Roman M. Babicki Fellowship in Medical Research at the University of British Columbia (O.M.), the Canada Research Chair in Genome Science (M.A.M.), the Giulio D’Angio Endowed Chair (J.M.M.), the Alex’s Lemonade Stand Foundation (J.M.M.), the Arms Wide Open Foundation (J.M.M.) and the Cookies for Kids Foundation (J.M.M.). The authors would like to thank Elizabeth Nickerson, Sheridon Channer, Karen Novik, Cecelia Suragh, and Robyn Roscoe for project management support. We also thank the staff of the Genome Sciences Centre Biospecimen Core, Library Construction, Sequencing, and Bioinformatics teams, and the staff of the Broad Institute Biological Samples, Genome Sequencing and Genetic Analysis Platforms for their expertise in genomic processing of samples and generating the sequencing data used in this analysis.</p></ack><fn-group><fn id="FN2"><p id="P55"><bold>Author Contributions</bold> J.M.M., J.K., R.C.S., D.S.G. and M.A.S. conceived and led the project. M.A.M. and M.M. conceived of and supervised all aspects of the sequencing work at the BC Cancer Agency Genome Sciences Centre and Broad Institute, respectively. T.J.P. and O.M performed the analyses and interpreted the results. E.F.A., S.A., J.S.W., K.A.C., M.D., S.J.D., A.C.W., Y.P.M, L.J, T.B., Y.M., J.G-F and M.D.H. selected and characterized samples, provided disease-specific expertise in data analysis, and edited the manuscript. R.S. and W.L. provided statistical support and analyses of clinical covariates. D.A, E.S., C.S., M.D., and J.M.G.A. provided overall project management and quality control support. S.L.C., K.C., M.H., A.K, J.K., M.S.L., L.L, A.M., A.H.R., A.S., and C.S. supported analysis of somatic and germline alterations in the exome sequencing data. C-S.P. performed the pathogen discovery analysis. I.B., K.L.M., R.C., S.D.J., and J.Q. performed de novo assembly of Illumina sequencing data. Y.Z. led the library construction effort for the Illumina libraries. A.T. and Y.Z. planned the sequencing verification, and A.A. and B.K. performed the experiments. R.D.C. performed copy number analysis of genome sequencing data. M.K. performed verification of candidate rearrangements. N.T. performed gene- and exon-level quantification analysis of RNA-seq data. A.L. and A.H.K. helped interpret data provided by Complete Genomics. R.A.M. and M.H. led the sequencing effort for the Illumina genome and transcriptome libraries. S.B.G. and E.S.L. led the sequencing effort for the exome sequencing libraries. G.G. and S.J.M.J. supervised the bioinformatics group at the Broad Institute and BC Cancer Agency Genome Sciences Centre, respectively. T.J.P, O.M., D.J.G., M.A.M., M.M. and J.M.M. co-wrote the manuscript with input from all co-authors.</p></fn><fn id="FN3"><p id="P56"><bold>Author Information</bold> M.M. is a paid consultant for and equity holder in Foundation Medicine, a genomics-based oncology diagnostics company, and is a paid consultant for Novartis.</p></fn><fn id="FN4"><p id="P57"><bold>URLs</bold></p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maris</surname><given-names>JM</given-names></name></person-group><article-title>Recent advances in neuroblastoma</article-title><source>N. Engl. J. 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Striped blocks indicate cases analyzed using two approaches. <bold>Clinical variables</bold>: gender (male/female = blue/pink) and age (brown spectrum). <bold>Copy number alterations:</bold> ploidy measured by flow cytometry (hyperdiploid = DNA index > 1) and clinically relevant copy number alterations derived from sequence data. <bold>Significantly mutated</bold>: genes with statistically significant mutation counts given the background mutation rate, gene size, and expression in neuroblastoma. <bold>Germline</bold>: genes with significant numbers of germline ClinVar or loss-of-function cancer gene variants in our cohort. <bold>DNA repair</bold>: Genes that may be associated with increased mutation frequency in two apparently hyper-mutated tumors. Predicted effects of somatic mutations are color-coded by the provided legend.</p></caption><graphic xlink:href="nihms-474900-f0001"></graphic></fig><fig id="F2" orientation="portrait" position="float"><label>Figure 2</label><caption><title>Structural variation in neuroblastoma genomes</title><p>CIRCOS<sup><xref rid="R68" ref-type="bibr">68</xref></sup> plots of cases with recurrent somatic alterations, labeled using TARGET identifiers. Chromosomes are arranged end-to-end in the outer-most ring. Mutations in significantly mutated genes are depicted in light blue outside of each diagram. The inside ring shows somatic copy number gains and losses (high-level gains are red, low-level gains are orange, losses are blue) detected by WGS. The innermost arcs depict genic structural aberrations (gene fusions are orange, all others are black) detected by RNA-seq and confirmed by local reassembly of WGS reads. Non-genic rearrangements are not shown. The top five cases have mutations in significantly mutated genes <italic>ALK</italic>, <italic>MYCN</italic>, and <italic>NRAS.</italic> The bottom three cases each have several rearrangements of <italic>NBAS</italic>, with expressed fusion transcripts as annotated.</p></caption><graphic xlink:href="nihms-474900-f0002"></graphic></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1</label><caption><p>Genes with significant frequency of somatic mutation across 240 neuroblastomas</p></caption><table frame="box" rules="groups"><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">Gene</th><th align="center" valign="middle" rowspan="1" colspan="1">Description</th><th align="center" valign="middle" rowspan="1" colspan="1">Mutations</th><th align="center" valign="middle" rowspan="1" colspan="1">Patients</th><th align="center" valign="middle" rowspan="1" colspan="1">Unique<break></break>sites</th><th align="center" valign="middle" rowspan="1" colspan="1">Missense</th><th align="center" valign="middle" rowspan="1" colspan="1">Loss of<break></break>function<xref ref-type="table-fn" rid="TFN1">*</xref></th><th align="center" valign="middle" rowspan="1" colspan="1">q-value</th><th align="center" valign="middle" rowspan="1" colspan="1">Expressed in<break></break>neuroblastoma<xref ref-type="table-fn" rid="TFN2">#</xref></th></tr></thead><tbody><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>ALK</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">anaplastic lymphoma receptor<break></break>tyrosine kinase</td><td align="center" valign="middle" rowspan="1" colspan="1">22</td><td align="center" valign="middle" rowspan="1" colspan="1">22</td><td align="center" valign="middle" rowspan="1" colspan="1">7</td><td align="center" valign="middle" rowspan="1" colspan="1">22</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1"><1.8×10<sup>−7</sup></td><td align="center" valign="middle" rowspan="1" colspan="1">Yes</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>PTPN11</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">protein tyrosine phosphatase,<break></break>non-receptor type 11</td><td align="center" valign="middle" rowspan="1" colspan="1">7</td><td align="center" valign="middle" rowspan="1" colspan="1">7</td><td align="center" valign="middle" rowspan="1" colspan="1">6</td><td align="center" valign="middle" rowspan="1" colspan="1">7</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1">1.8×10<sup>−5</sup></td><td align="center" valign="middle" rowspan="1" colspan="1">Yes</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>ATRX</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">alpha thalassemia/mental<break></break>retardation syndrome X-linked</td><td align="center" valign="middle" rowspan="1" colspan="1">6</td><td align="center" valign="middle" rowspan="1" colspan="1">6</td><td align="center" valign="middle" rowspan="1" colspan="1">6</td><td align="center" valign="middle" rowspan="1" colspan="1">3</td><td align="center" valign="middle" rowspan="1" colspan="1">3</td><td align="center" valign="middle" rowspan="1" colspan="1">0.031</td><td align="center" valign="middle" rowspan="1" colspan="1">Yes</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>OR5T1</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">olfactory receptor, family 5,<break></break>subfamily T, member 1</td><td align="center" valign="middle" rowspan="1" colspan="1">3</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">3</td><td align="center" valign="middle" rowspan="1" colspan="1">3</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1">0.040</td><td align="center" valign="middle" rowspan="1" colspan="1">No</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>PDE6G</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">phosphodiesterase 6G, cGMP-<break></break>specific, rod, gamma</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1">0.052</td><td align="center" valign="middle" rowspan="1" colspan="1">No</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>MYCN</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">v-myc myelocytomatosis viral<break></break>related oncogene, neuroblastoma</td><td align="center" valign="middle" rowspan="1" colspan="1">4</td><td align="center" valign="middle" rowspan="1" colspan="1">4</td><td align="center" valign="middle" rowspan="1" colspan="1">1</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1">0.093</td><td align="center" valign="middle" rowspan="1" colspan="1">Yes</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>NRAS</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">neuroblastoma RAS viral (v-ras)<break></break>oncogene homolog</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">0</td><td align="center" valign="middle" rowspan="1" colspan="1">0.017<break></break>(COSMIC only)</td><td align="center" valign="middle" rowspan="1" colspan="1">Yes</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P58">Nonsense, splice site, or frameshift</p></fn><fn id="TFN2"><label>#</label><p id="P59">very low or absent mRNA expression in RNA-seq or microarray data sets</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2</label><caption><p>Candidate pathogenic germline variants in 222 neuroblastoma WES cases</p></caption><table frame="box" rules="groups"><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">Gene</th><th align="center" valign="middle" rowspan="1" colspan="1">Subject<break></break>Identifier</th><th align="center" valign="middle" rowspan="1" colspan="1">Genome position<break></break>(build hg19)</th><th align="center" valign="middle" rowspan="1" colspan="1">cDNA<break></break>change</th><th align="center" valign="middle" rowspan="1" colspan="1">Protein<break></break>change</th></tr></thead><tbody><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>ALK</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PARVLK</td><td align="center" valign="middle" rowspan="1" colspan="1">chr2:29432664</td><td align="center" valign="middle" rowspan="1" colspan="1">c.3824G>A</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg1275Gln</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>CHEK2</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PAKXDZ</td><td align="center" valign="middle" rowspan="1" colspan="1">chr22:29121242</td><td align="center" valign="middle" rowspan="1" colspan="1">c.433C>T</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg145Tro</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>CHEK2</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PAPTFZ</td><td align="center" valign="middle" rowspan="1" colspan="1">chr22:29121015</td><td align="center" valign="middle" rowspan="1" colspan="1">c.542G>A</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg181His</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>CHEK2</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PARJMX</td><td align="center" valign="middle" rowspan="1" colspan="1">chr22:29121018</td><td align="center" valign="middle" rowspan="1" colspan="1">c.539G>A</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg180His</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>PINK1</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PANYBL</td><td align="center" valign="middle" rowspan="1" colspan="1">chr1:20972133</td><td align="center" valign="middle" rowspan="1" colspan="1">c.1040T>C</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Leu437Pro</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>PINK1</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PATINJ</td><td align="center" valign="middle" rowspan="1" colspan="1">chr1:20971042</td><td align="center" valign="middle" rowspan="1" colspan="1">c.836G>A</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg279His</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>BARD1</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PAHYWC</td><td align="center" valign="middle" rowspan="1" colspan="1">chr2:215657051</td><td align="center" valign="middle" rowspan="1" colspan="1">c.334C>T</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg112*</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>BARD1</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PATGWT</td><td align="center" valign="middle" rowspan="1" colspan="1">chr2:215595215</td><td align="center" valign="middle" rowspan="1" colspan="1">c.1921C>T</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Arg641*</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>TP53</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PAICGF</td><td align="center" valign="middle" rowspan="1" colspan="1">chr17:7578194</td><td align="center" valign="middle" rowspan="1" colspan="1">c.655C>T</td><td align="center" valign="middle" rowspan="1" colspan="1">p.Pro219Ser</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1"><italic>PALB2</italic></td><td align="center" valign="middle" rowspan="1" colspan="1">PAPZYZ</td><td align="center" valign="middle" rowspan="1" colspan="1">chr16:23646182</td><td align="center" valign="middle" rowspan="1" colspan="1">c.1684+1C>A</td><td align="center" valign="middle" rowspan="1" colspan="1">Splice at p.Gly562</td></tr></tbody></table></table-wrap><table-wrap id="T3" position="float" orientation="portrait"><table frame="box" rules="none"><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Therapeutically Applicable Research to<break></break>Generate Effective Treatments (TARGET)</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://target.cancer.gov">http://target.cancer.gov</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Broad Institute Cancer Genome Analysis<break></break>tools</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.broadinstitute.org/cancer/cga">http://www.broadinstitute.org/cancer/cga</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">ClinVar</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.ncbi.nlm.nih.gov/clinvar">http://www.ncbi.nlm.nih.gov/clinvar</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Familial Cancer Database</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.facd.info">http://www.facd.info</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Human DNA repair genes</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://sciencepark.mdanderson.org/labs/wood/DNA_Repair_Genes.html">http://sciencepark.mdanderson.org/labs/wood/DNA_Repair_Genes.html</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">NHLBI Grand Opportunity Exome<break></break>Sequencing Project</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="https://esp.gs.washington.edu/drupal/">https://esp.gs.washington.edu/drupal/</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">International Agency for Research on Cancer<break></break>TP53 Database</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://p53.iarc.fr">http://p53.iarc.fr</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Complete Genomics Analysis Tools</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.completegenomics.com/analysis-tools/cgatools/">http://www.completegenomics.com/analysis-tools/cgatools/</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">ALEXA RNA-seq analysis tools</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.alexaplatform.org/">http://www.alexaplatform.org/</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Picard analysis tools</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://picard.sourceforge.net">http://picard.sourceforge.net</ext-link></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">The R Project for Statistical Computing</td><td align="left" valign="middle" rowspan="1" colspan="1"><ext-link ext-link-type="uri" xlink:href="http://www.r-project.org/">http://www.r-project.org/</ext-link></td></tr></tbody></table></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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