LifeGene—a large prospective population-based study of global relevance
Identifieur interne : 000731 ( Istex/Corpus ); précédent : 000730; suivant : 000732LifeGene—a large prospective population-based study of global relevance
Auteurs : Catarina Almqvist ; Hans-Olov Adami ; Paul W. Franks ; Leif Groop ; Erik Ingelsson ; Juha Kere ; Lauren Lissner ; Jan-Eric Litton ; Markus Maeurer ; Karl Michaëlsson ; Juni Palmgren ; Göran Pershagen ; Alexander Ploner ; Patrick F. Sullivan ; Gunnel Tybring ; Nancy L. PedersenSource :
- European Journal of Epidemiology [ 0393-2990 ] ; 2011-01-01.
English descriptors
Abstract
Abstract: Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years.
Url:
DOI: 10.1007/s10654-010-9521-x
Links to Exploration step
ISTEX:D69D4F414337CEB1C730522FA7AD3D28855BC7FBLe document en format XML
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Franks</name><affiliation><mods:affiliation>Department of Public Health & Clinical Medicine, Section for Medicine, Umeå University Hospital Sweden, Umeå, Sweden</mods:affiliation></affiliation><affiliation><mods:affiliation>Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital, Lund University, Malmo, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Groop, Leif" sort="Groop, Leif" uniqKey="Groop L" first="Leif" last="Groop">Leif Groop</name><affiliation><mods:affiliation>Department of Clinical Sciences, Diabetes and Endocrinology Unit, Lund University, Lund, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Ingelsson, Erik" sort="Ingelsson, Erik" uniqKey="Ingelsson E" first="Erik" last="Ingelsson">Erik Ingelsson</name><affiliation><mods:affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Kere, Juha" sort="Kere, Juha" uniqKey="Kere J" first="Juha" last="Kere">Juha Kere</name><affiliation><mods:affiliation>Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Lissner, Lauren" sort="Lissner, Lauren" uniqKey="Lissner L" first="Lauren" last="Lissner">Lauren Lissner</name><affiliation><mods:affiliation>Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Litton, Jan Eric" sort="Litton, Jan Eric" uniqKey="Litton J" first="Jan-Eric" last="Litton">Jan-Eric Litton</name><affiliation><mods:affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Maeurer, Markus" sort="Maeurer, Markus" uniqKey="Maeurer M" first="Markus" last="Maeurer">Markus Maeurer</name><affiliation><mods:affiliation>Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden</mods:affiliation></affiliation><affiliation><mods:affiliation>Swedish Institute for Infectious Disease Control, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Michaelsson, Karl" sort="Michaelsson, Karl" uniqKey="Michaelsson K" first="Karl" last="Michaëlsson">Karl Michaëlsson</name><affiliation><mods:affiliation>Department of Surgical Sciences, Uppsala University, Uppsala, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Palmgren, Juni" sort="Palmgren, Juni" uniqKey="Palmgren J" first="Juni" last="Palmgren">Juni Palmgren</name><affiliation><mods:affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</mods:affiliation></affiliation><affiliation><mods:affiliation>Department of Mathematical Statistics, Stockholm University, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Pershagen, Goran" sort="Pershagen, Goran" uniqKey="Pershagen G" first="Göran" last="Pershagen">Göran Pershagen</name><affiliation><mods:affiliation>Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Ploner, Alexander" sort="Ploner, Alexander" uniqKey="Ploner A" first="Alexander" last="Ploner">Alexander Ploner</name><affiliation><mods:affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Sullivan, Patrick F" sort="Sullivan, Patrick F" uniqKey="Sullivan P" first="Patrick F." last="Sullivan">Patrick F. Sullivan</name><affiliation><mods:affiliation>Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</mods:affiliation></affiliation></author><author><name sortKey="Tybring, Gunnel" sort="Tybring, Gunnel" uniqKey="Tybring G" first="Gunnel" last="Tybring">Gunnel Tybring</name><affiliation><mods:affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</mods:affiliation></affiliation></author><author><name sortKey="Pedersen, Nancy L" sort="Pedersen, Nancy L" uniqKey="Pedersen N" first="Nancy L." last="Pedersen">Nancy L. Pedersen</name><affiliation><mods:affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: nancy.pedersen@ki.se</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">European Journal of Epidemiology</title><title level="j" type="abbrev">Eur J Epidemiol</title><idno type="ISSN">0393-2990</idno><idno type="eISSN">1573-7284</idno><imprint><publisher>Springer Netherlands</publisher><pubPlace>Dordrecht</pubPlace><date type="published" when="2011-01-01">2011-01-01</date><biblScope unit="volume">26</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="67">67</biblScope><biblScope unit="page" to="77">77</biblScope></imprint><idno type="ISSN">0393-2990</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0393-2990</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biobank</term><term>Cohort study</term><term>Epidemiology</term><term>Population genetics</term><term>Prospective study</term><term>Questionnaires</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years.</div></front></TEI><istex><corpusName>springer-journals</corpusName><author><json:item><name>Catarina Almqvist</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string><json:string>Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden</json:string><json:string>E-mail: catarina.almqvist@ki.se</json:string></affiliations></json:item><json:item><name>Hans-Olov Adami</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string><json:string>Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA</json:string></affiliations></json:item><json:item><name>Paul W. Franks</name><affiliations><json:string>Department of Public Health & Clinical Medicine, Section for Medicine, Umeå University Hospital Sweden, Umeå, Sweden</json:string><json:string>Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital, Lund University, Malmo, Sweden</json:string></affiliations></json:item><json:item><name>Leif Groop</name><affiliations><json:string>Department of Clinical Sciences, Diabetes and Endocrinology Unit, Lund University, Lund, Sweden</json:string></affiliations></json:item><json:item><name>Erik Ingelsson</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Juha Kere</name><affiliations><json:string>Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden</json:string></affiliations></json:item><json:item><name>Lauren Lissner</name><affiliations><json:string>Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden</json:string></affiliations></json:item><json:item><name>Jan-Eric Litton</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Markus Maeurer</name><affiliations><json:string>Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden</json:string><json:string>Swedish Institute for Infectious Disease Control, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Karl Michaëlsson</name><affiliations><json:string>Department of Surgical Sciences, Uppsala University, Uppsala, Sweden</json:string></affiliations></json:item><json:item><name>Juni Palmgren</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string><json:string>Department of Mathematical Statistics, Stockholm University, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Göran Pershagen</name><affiliations><json:string>Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Alexander Ploner</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Patrick F. Sullivan</name><affiliations><json:string>Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</json:string></affiliations></json:item><json:item><name>Gunnel Tybring</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string></affiliations></json:item><json:item><name>Nancy L. Pedersen</name><affiliations><json:string>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</json:string><json:string>E-mail: nancy.pedersen@ki.se</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Biobank</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Cohort study</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Epidemiology</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Prospective study</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Questionnaires</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Population genetics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>DLW : Doubly labelled water</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>DNA : Deoxyribonucleic acid</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>EDTA : Ethylenediaminetetraacetic acid</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>GWAS : Genome wide association studies</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>ILI : Influenza-like illness</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>PCR : Polymerase chain reaction</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>WHO : World Health Organisation</value></json:item></subject><articleId><json:string>9521</json:string><json:string>s10654-010-9521-x</json:string></articleId><arkIstex>ark:/67375/VQC-KD60P5GQ-G</arkIstex><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. 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type="first">Catarina</forename><surname>Almqvist</surname></persName><email>catarina.almqvist@ki.se</email><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation><affiliation>Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, Sweden</affiliation></author><author xml:id="author-0001"><persName><forename type="first">Hans-Olov</forename><surname>Adami</surname></persName><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation><affiliation>Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA</affiliation></author><author xml:id="author-0002"><persName><forename type="first">Paul</forename><surname>Franks</surname></persName><affiliation>Department of Public Health & Clinical Medicine, Section for Medicine, Umeå University Hospital Sweden, Umeå, Sweden</affiliation><affiliation>Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital, Lund University, Malmo, Sweden</affiliation></author><author xml:id="author-0003"><persName><forename type="first">Leif</forename><surname>Groop</surname></persName><affiliation>Department of Clinical Sciences, Diabetes and Endocrinology Unit, Lund University, Lund, Sweden</affiliation></author><author xml:id="author-0004"><persName><forename type="first">Erik</forename><surname>Ingelsson</surname></persName><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation></author><author xml:id="author-0005"><persName><forename type="first">Juha</forename><surname>Kere</surname></persName><affiliation>Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden</affiliation></author><author xml:id="author-0006"><persName><forename type="first">Lauren</forename><surname>Lissner</surname></persName><affiliation>Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden</affiliation></author><author xml:id="author-0007"><persName><forename type="first">Jan-Eric</forename><surname>Litton</surname></persName><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation></author><author xml:id="author-0008"><persName><forename type="first">Markus</forename><surname>Maeurer</surname></persName><affiliation>Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden</affiliation><affiliation>Swedish Institute for Infectious Disease Control, Stockholm, Sweden</affiliation></author><author xml:id="author-0009"><persName><forename type="first">Karl</forename><surname>Michaëlsson</surname></persName><affiliation>Department of Surgical Sciences, Uppsala University, Uppsala, Sweden</affiliation></author><author xml:id="author-0010"><persName><forename type="first">Juni</forename><surname>Palmgren</surname></persName><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation><affiliation>Department of Mathematical Statistics, Stockholm University, Stockholm, Sweden</affiliation></author><author xml:id="author-0011"><persName><forename type="first">Göran</forename><surname>Pershagen</surname></persName><affiliation>Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden</affiliation></author><author xml:id="author-0012"><persName><forename type="first">Alexander</forename><surname>Ploner</surname></persName><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation></author><author xml:id="author-0013"><persName><forename type="first">Patrick</forename><surname>Sullivan</surname></persName><affiliation>Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA</affiliation></author><author xml:id="author-0014"><persName><forename type="first">Gunnel</forename><surname>Tybring</surname></persName><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation></author><author xml:id="author-0015" corresp="yes"><persName><forename type="first">Nancy</forename><surname>Pedersen</surname></persName><email>nancy.pedersen@ki.se</email><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation></author><idno type="istex">D69D4F414337CEB1C730522FA7AD3D28855BC7FB</idno><idno type="ark">ark:/67375/VQC-KD60P5GQ-G</idno><idno type="DOI">10.1007/s10654-010-9521-x</idno><idno type="article-id">9521</idno><idno 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for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Biobank</term></item><item><term>Cohort study</term></item><item><term>Epidemiology</term></item><item><term>Prospective study</term></item><item><term>Questionnaires</term></item><item><term>Population genetics</term></item></list></keywords></textClass><textClass><keywords scheme="keyword"><list><head>Abbreviations</head><item><term>DLW</term><term>Doubly labelled water</term></item><item><term>DNA</term><term>Deoxyribonucleic acid</term></item><item><term>EDTA</term><term>Ethylenediaminetetraacetic acid</term></item><item><term>GWAS</term><term>Genome wide association studies</term></item><item><term>ILI</term><term>Influenza-like illness</term></item><item><term>PCR</term><term>Polymerase chain reaction</term></item><item><term>WHO</term><term>World Health Organisation</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>Medicine & Public Health</head><item><term>Oncology</term></item><item><term>Cardiology</term></item><item><term>Infectious Diseases</term></item><item><term>Public Health/Gesundheitswesen</term></item><item><term>Epidemiology</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2010-06-14">Created</change><change when="2011-01-01">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/ark:/67375/VQC-KD60P5GQ-G/fulltext.txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="corpus springer-journals not found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//Springer-Verlag//DTD A++ V2.4//EN" 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NumberingStyle="Unnumbered" TocLevels="0"><ArticleID>9521</ArticleID><ArticleDOI>10.1007/s10654-010-9521-x</ArticleDOI><ArticleSequenceNumber>9</ArticleSequenceNumber><ArticleTitle Language="En" OutputMedium="All">LifeGene—a large prospective population-based study of global relevance</ArticleTitle><ArticleCategory>NEW STUDY</ArticleCategory><ArticleFirstPage>67</ArticleFirstPage><ArticleLastPage>77</ArticleLastPage><ArticleHistory><RegistrationDate><Year>2010</Year><Month>11</Month><Day>2</Day></RegistrationDate><Received><Year>2010</Year><Month>6</Month><Day>14</Day></Received><Accepted><Year>2010</Year><Month>11</Month><Day>2</Day></Accepted><OnlineDate><Year>2010</Year><Month>11</Month><Day>21</Day></OnlineDate></ArticleHistory><ArticleCopyright><CopyrightHolderName>Springer Science+Business Media B.V.</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></ArticleCopyright><ArticleGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ArticleGrants></ArticleInfo><ArticleHeader><AuthorGroup><Author AffiliationIDS="Aff1 Aff2" CorrespondingAffiliationID="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Catarina</GivenName><FamilyName>Almqvist</FamilyName></AuthorName><Contact><Phone>+46-8-524-87418</Phone><Fax>+46-8-314975</Fax><Email>catarina.almqvist@ki.se</Email></Contact></Author><Author AffiliationIDS="Aff1 Aff3"><AuthorName DisplayOrder="Western"><GivenName>Hans-Olov</GivenName><FamilyName>Adami</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff4 Aff5"><AuthorName DisplayOrder="Western"><GivenName>Paul</GivenName><GivenName>W.</GivenName><FamilyName>Franks</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff6"><AuthorName DisplayOrder="Western"><GivenName>Leif</GivenName><FamilyName>Groop</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Erik</GivenName><FamilyName>Ingelsson</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff7"><AuthorName DisplayOrder="Western"><GivenName>Juha</GivenName><FamilyName>Kere</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff8"><AuthorName DisplayOrder="Western"><GivenName>Lauren</GivenName><FamilyName>Lissner</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Jan-Eric</GivenName><FamilyName>Litton</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff9 Aff10"><AuthorName DisplayOrder="Western"><GivenName>Markus</GivenName><FamilyName>Maeurer</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff11"><AuthorName DisplayOrder="Western"><GivenName>Karl</GivenName><FamilyName>Michaëlsson</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1 Aff12"><AuthorName DisplayOrder="Western"><GivenName>Juni</GivenName><FamilyName>Palmgren</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff13"><AuthorName DisplayOrder="Western"><GivenName>Göran</GivenName><FamilyName>Pershagen</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Alexander</GivenName><FamilyName>Ploner</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff14"><AuthorName DisplayOrder="Western"><GivenName>Patrick</GivenName><GivenName>F.</GivenName><FamilyName>Sullivan</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Gunnel</GivenName><FamilyName>Tybring</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff1" CorrespondingAffiliationID="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Nancy</GivenName><GivenName>L.</GivenName><FamilyName>Pedersen</FamilyName></AuthorName><Contact><Email>nancy.pedersen@ki.se</Email></Contact></Author><Affiliation ID="Aff1"><OrgDivision>Department of Medical Epidemiology and Biostatistics</OrgDivision><OrgName>Karolinska Institutet</OrgName><OrgAddress><Postbox>Box 281</Postbox><Postcode>SE-171 77</Postcode><City>Stockholm</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgDivision>Astrid Lindgren Children’s Hospital</OrgDivision><OrgName>Karolinska University Hospital</OrgName><OrgAddress><City>Stockholm</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgDivision>Department of Epidemiology</OrgDivision><OrgName>Harvard School of Public Health</OrgName><OrgAddress><City>Boston</City><State>MA</State><Country Code="US">USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgDivision>Department of Public Health & Clinical Medicine, Section for Medicine</OrgDivision><OrgName>Umeå University Hospital Sweden</OrgName><OrgAddress><City>Umeå</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgDivision>Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University Hospital</OrgDivision><OrgName>Lund University</OrgName><OrgAddress><City>Malmo</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgDivision>Department of Clinical Sciences, Diabetes and Endocrinology Unit</OrgDivision><OrgName>Lund University</OrgName><OrgAddress><City>Lund</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgDivision>Department of Biosciences and Nutrition</OrgDivision><OrgName>Karolinska Institutet</OrgName><OrgAddress><City>Huddinge</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgDivision>Department of Public Health and Community Medicine</OrgDivision><OrgName>University of Gothenburg</OrgName><OrgAddress><City>Gothenburg</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgDivision>Department of Microbiology, Tumor and Cell Biology</OrgDivision><OrgName> Karolinska Institutet</OrgName><OrgAddress><City>Stockholm</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>Swedish Institute for Infectious Disease Control</OrgName><OrgAddress><City>Stockholm</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgDivision>Department of Surgical Sciences</OrgDivision><OrgName>Uppsala University</OrgName><OrgAddress><City>Uppsala</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgDivision>Department of Mathematical Statistics</OrgDivision><OrgName>Stockholm University</OrgName><OrgAddress><City>Stockholm</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgDivision>Institute of Environmental Medicine</OrgDivision><OrgName>Karolinska Institutet</OrgName><OrgAddress><City>Stockholm</City><Country Code="SE">Sweden</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgDivision>Department of Genetics</OrgDivision><OrgName>University of North Carolina at Chapel Hill</OrgName><OrgAddress><City>Chapel Hill</City><State>NC</State><Country Code="US">USA</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En" OutputMedium="All"><Heading>Abstract</Heading><Para>Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years.</Para></Abstract><KeywordGroup Language="En" OutputMedium="All"><Heading>Keywords</Heading><Keyword>Biobank</Keyword><Keyword>Cohort study</Keyword><Keyword>Epidemiology</Keyword><Keyword>Prospective study</Keyword><Keyword>Questionnaires</Keyword><Keyword>Population genetics</Keyword></KeywordGroup><AbbreviationGroup><Heading>Abbreviations</Heading><DefinitionList><DefinitionListEntry><Term>DLW</Term><Description><Para>Doubly labelled water</Para></Description></DefinitionListEntry><DefinitionListEntry><Term>DNA</Term><Description><Para>Deoxyribonucleic acid</Para></Description></DefinitionListEntry><DefinitionListEntry><Term>EDTA</Term><Description><Para>Ethylenediaminetetraacetic acid</Para></Description></DefinitionListEntry><DefinitionListEntry><Term>GWAS</Term><Description><Para>Genome wide association studies</Para></Description></DefinitionListEntry><DefinitionListEntry><Term>ILI</Term><Description><Para>Influenza-like illness</Para></Description></DefinitionListEntry><DefinitionListEntry><Term>PCR</Term><Description><Para>Polymerase chain reaction</Para></Description></DefinitionListEntry><DefinitionListEntry><Term>WHO</Term><Description><Para>World Health Organisation</Para></Description></DefinitionListEntry></DefinitionList></AbbreviationGroup></ArticleHeader><NoBody></NoBody></Article></Issue></Volume></Journal></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>LifeGene—a large prospective population-based study of global relevance</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>LifeGene—a large prospective population-based study of global relevance</title></titleInfo><name type="personal" displayLabel="corresp"><namePart type="given">Catarina</namePart><namePart 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type="family">Kere</namePart><affiliation>Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Lauren</namePart><namePart type="family">Lissner</namePart><affiliation>Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jan-Eric</namePart><namePart type="family">Litton</namePart><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Markus</namePart><namePart type="family">Maeurer</namePart><affiliation>Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, 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type="text">author</roleTerm></role></name><name type="personal" displayLabel="corresp"><namePart type="given">Nancy</namePart><namePart type="given">L.</namePart><namePart type="family">Pedersen</namePart><affiliation>Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77, Stockholm, Sweden</affiliation><affiliation>E-mail: nancy.pedersen@ki.se</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="OriginalPaper" authority="ISTEX" authorityURI="https://content-type.data.istex.fr" valueURI="https://content-type.data.istex.fr/ark:/67375/XTP-1JC4F85T-7">research-article</genre><originInfo><publisher>Springer Netherlands</publisher><place><placeTerm type="text">Dordrecht</placeTerm></place><dateCreated encoding="w3cdtf">2010-06-14</dateCreated><dateIssued encoding="w3cdtf">2011-01-01</dateIssued><copyrightDate encoding="w3cdtf">2010</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><abstract lang="en">Abstract: Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years.</abstract><note>NEW STUDY</note><subject lang="en"><genre>Keywords</genre><topic>Biobank</topic><topic>Cohort study</topic><topic>Epidemiology</topic><topic>Prospective study</topic><topic>Questionnaires</topic><topic>Population genetics</topic></subject><subject><genre>Abbreviations</genre><topic>DLW : Doubly labelled water</topic><topic>DNA : Deoxyribonucleic acid</topic><topic>EDTA : Ethylenediaminetetraacetic acid</topic><topic>GWAS : Genome wide association studies</topic><topic>ILI : Influenza-like illness</topic><topic>PCR : Polymerase chain reaction</topic><topic>WHO : World Health Organisation</topic></subject><relatedItem type="host"><titleInfo><title>European Journal of Epidemiology</title></titleInfo><titleInfo type="abbreviated"><title>Eur J Epidemiol</title></titleInfo><genre type="journal" authority="ISTEX" authorityURI="https://publication-type.data.istex.fr" valueURI="https://publication-type.data.istex.fr/ark:/67375/JMC-0GLKJH51-B">journal</genre><originInfo><publisher>Springer</publisher><dateIssued encoding="w3cdtf">2011-01-11</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><subject><genre>Medicine & Public Health</genre><topic>Oncology</topic><topic>Cardiology</topic><topic>Infectious Diseases</topic><topic>Public Health/Gesundheitswesen</topic><topic>Epidemiology</topic></subject><identifier type="ISSN">0393-2990</identifier><identifier type="eISSN">1573-7284</identifier><identifier type="JournalID">10654</identifier><identifier type="IssueArticleCount">10</identifier><identifier type="VolumeIssueCount">12</identifier><part><date>2011</date><detail type="volume"><number>26</number><caption>vol.</caption></detail><detail type="issue"><number>1</number><caption>no.</caption></detail><extent unit="pages"><start>67</start><end>77</end></extent></part><recordInfo><recordOrigin>Springer Science+Business Media B.V., 2011</recordOrigin></recordInfo></relatedItem><identifier type="istex">D69D4F414337CEB1C730522FA7AD3D28855BC7FB</identifier><identifier type="ark">ark:/67375/VQC-KD60P5GQ-G</identifier><identifier type="DOI">10.1007/s10654-010-9521-x</identifier><identifier type="ArticleID">9521</identifier><identifier type="ArticleID">s10654-010-9521-x</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Science+Business Media B.V., 2010</accessCondition><recordInfo><recordContentSource authority="ISTEX" authorityURI="https://loaded-corpus.data.istex.fr" valueURI="https://loaded-corpus.data.istex.fr/ark:/67375/XBH-3XSW68JL-F">springer</recordContentSource><recordOrigin>Springer Science+Business Media B.V., 2010</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/ark:/67375/VQC-KD60P5GQ-G/record.json</uri></json:item></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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