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dc.contributor.authorPulit, SL
dc.contributor.authorStoneman, C
dc.contributor.authorMorris, AP
dc.contributor.authorWood, AR
dc.contributor.authorGlastonbury, CA
dc.contributor.authorTyrrell, J
dc.contributor.authorYengo, L
dc.contributor.authorFerreira, T
dc.contributor.authorMarouli, E
dc.contributor.authorJi, Y
dc.contributor.authorYang, J
dc.contributor.authorJones, S
dc.contributor.authorBeaumont, R
dc.contributor.authorCroteau-Chonka, DC
dc.contributor.authorWinkler, TW
dc.contributor.authorConsortium, G
dc.contributor.authorHattersley, AT
dc.contributor.authorLoos, RJF
dc.contributor.authorHirschhorn, JN
dc.contributor.authorVisscher, PM
dc.contributor.authorFrayling, TM
dc.contributor.authorYaghootkar, H
dc.contributor.authorLindgren, CM
dc.date.accessioned2019-01-22T14:12:29Z
dc.date.available2018-09-03
dc.date.available2019-01-22T14:12:29Z
dc.date.issued2018-09-04
dc.identifier.citationSara L Pulit, Charli Stoneman, Andrew P Morris, Andrew R Wood, Craig A Glastonbury, Jessica Tyrrell, Loïc Yengo, Teresa Ferreira, Eirini Marouli, Yingjie Ji, Jian Yang, Samuel Jones, Robin Beaumont, Damien C Croteau-Chonka, Thomas W Winkler, GIANT Consortium, Andrew T Hattersley, Ruth J F Loos, Joel N Hirschhorn, Peter M Visscher, Timothy M Frayling, Hanieh Yaghootkar, Cecilia M Lindgren; Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry, Human Molecular Genetics, Volume 28, Issue 1, 1 January 2019, Pages 166–174, https://doi.org/10.1093/hmg/ddy327en_US
dc.identifier.issn0964-6906
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/54849
dc.descriptionThis is a pre-copyedited, author-produced version of an article accepted for publication in [Human Molecular Genetics following peer review. The version of record Pulit, S. L., et al. (2019). "Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry." Human Molecular Genetics 28(1): 166-174. is available online at: doi: 10.1093/hmg/ddy327.en_US
dc.description.abstractMore than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.en_US
dc.description.sponsorshipThe Li Ka Shing Foundation (to C.M.L.), WT-SSI/John Fell funds; The National Institute for Health Research Biomedical Research Centre, Oxford, by Widenlife (to C.M.L.); National Institutes of Health (CRR00070 CR00.01 to C.M.L.); Veni Fellowship 016.186.071 (ZonMW) from the Dutch Organization for Scientific Research [Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) to S.L.P]; Diabetes UK RD Lawrence fellowship (17/0005594 to H.Y.); The European Research Council (323195:GLUCOSEGENES-FP7-IDEAS-ERC to A.R.W. and T.M.F.); The Wellcome Trust and Royal Society (104150/Z/14/Z to R.B.); European Regional Development Fund (to J.T.); Diabetes Research and Wellness Foundation Fellowship (J.T.); The Medical Research Council (MR/M005070/1 to S.E.J.); Australian National Health and Medical Research Council (1078037 and 1113400 to P.M.V. and J.Y.); The Sylvia & Charles Viertel Charitable Foundation (to J.Y.); The U.S. National Institutes of Health (K01 HL127265 to D.C.C.-C.).en_US
dc.format.extent166 - 174
dc.languageeng
dc.publisherOxford University Pressen_US
dc.relation.ispartofHum Mol Genet
dc.rightsCreative Commons Attribution
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.titleMeta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.en_US
dc.typeArticleen_US
dc.rights.holderThe Author(s) 2018
dc.identifier.doi10.1093/hmg/ddy327
dcterms.dateAccepted2018-09-03
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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