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dc.contributor.authorRao, DC
dc.contributor.authorSung, YJ
dc.contributor.authorWinkler, TW
dc.contributor.authorSchwander, K
dc.contributor.authorBorecki, I
dc.contributor.authorCupples, LA
dc.contributor.authorGauderman, J
dc.contributor.authorRice, K
dc.contributor.authorMunroe, PB
dc.contributor.authorPsaty, BM
dc.contributor.authorInteractions, CHARGEG-L
dc.date.accessioned2019-08-12T15:47:12Z
dc.date.available2017-02-14
dc.date.available2019-08-12T15:47:12Z
dc.date.issued2017-06-15
dc.identifier.issn1942-325X
dc.identifier.otherUNSP e001649
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/59025
dc.description.abstractBackground— Several consortia have pursued genome-wide association studies for identifying novel genetic loci for blood pressure, lipids, hypertension, etc. They demonstrated the power of collaborative research through meta-analysis of study-specific results. Methods and Results— The Gene-Lifestyle Interactions Working Group was formed to facilitate the first large, concerted, multiancestry study to systematically evaluate gene–lifestyle interactions. In stage 1, genome-wide interaction analysis is performed in 53 cohorts with a total of 149 684 individuals from multiple ancestries. In stage 2 involving an additional 71 cohorts with 460 791 individuals from multiple ancestries, focused analysis is performed for a subset of the most promising variants from stage 1. In all, the study involves up to 610 475 individuals. Current focus is on cardiovascular traits including blood pressure and lipids, and lifestyle factors including smoking, alcohol, education (as a surrogate for socioeconomic status), physical activity, psychosocial variables, and sleep. The total sample sizes vary among projects because of missing data. Large-scale gene–lifestyle or more generally gene–environment interaction (G×E) meta-analysis studies can be cumbersome and challenging. This article describes the design and some of the approaches pursued in the interaction projects. Conclusions— The Gene-Lifestyle Interactions Working Group provides an excellent framework for understanding the lifestyle context of genetic effects and to identify novel trait loci through analysis of interactions. An important and novel feature of our study is that the gene–lifestyle interaction (G×E) results may improve our knowledge about the underlying mechanisms for novel and already known trait loci.en_US
dc.publisherAmerican Heart Association, Inc.en_US
dc.relation.ispartofCIRCULATION-CARDIOVASCULAR GENETICS
dc.subjectblood pressureen_US
dc.subjectgenome-wide association studyen_US
dc.subjectlife styleen_US
dc.subjectmeta-analysisen_US
dc.subjectmolecular epidemiologyen_US
dc.titleMultiancestry Study of Gene-Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts Design and Rationaleen_US
dc.typeArticleen_US
dc.rights.holder© 2017 American Heart Association, Inc.
dc.identifier.doi10.1161/CIRCGENETICS.116.001649
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000403432900010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue3en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttps://doi.org/10.1161/CIRCGENETICS.116.001649
pubs.volume10en_US
dcterms.dateAccepted2017-02-14
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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