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Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria

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dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Day, Felix
dc.contributor.author Karaderi, Tugce
dc.contributor.author Jones, Michelle R.
dc.contributor.author Meun, Cindy
dc.contributor.author He, Chunyan
dc.contributor.author Drong, Alex
dc.contributor.author Kraft, Peter
dc.contributor.author Lin, Nan
dc.contributor.author Huang, Hongyan
dc.contributor.author Broer, Linda
dc.contributor.author Magi, Reedik
dc.contributor.author Saxena, Richa
dc.contributor.author Laisk, Triin
dc.contributor.author Urbanek, Margrit
dc.contributor.author Hayes, M. Geoffrey
dc.contributor.author Thorleifsson, Gudmar
dc.contributor.author Fernandez-Tajes, Juan
dc.contributor.author Mahajan, Anubha
dc.contributor.author Mullin, Benjamin H.
dc.contributor.author Stuckey, Bronwyn G. A.
dc.contributor.author Spector, Timothy D.
dc.contributor.author Wilson, Scott G.
dc.contributor.author Goodarzi, Mark O.
dc.contributor.author Davis, Lea
dc.contributor.author Obermayer-Pietsch, Barbara
dc.contributor.author Uitterlinden, André G.
dc.contributor.author Anttila, Verneri
dc.contributor.author Neale, Benjamin M.
dc.contributor.author Jarvelin, Marjo-Riitta
dc.contributor.author Fauser, Bart
dc.contributor.author Kowalska, Irina
dc.contributor.author Visser, Jenny A.
dc.contributor.author Andersen, Marianne
dc.contributor.author Ong, Ken
dc.contributor.author Stener-Victorin, Elisabet
dc.contributor.author Ehrmann, David
dc.contributor.author Legro, Richard S.
dc.contributor.author Salumets, Andres
dc.contributor.author McCarthy, Mark I.
dc.contributor.author Morin-Papunen, Laure
dc.contributor.author Thorsteinsdottir, Unnur
dc.contributor.author Stefansson, Kari
dc.contributor.author Styrkarsdottir, Unnur
dc.contributor.author Perry, John R. B.
dc.contributor.author Dunaif, Andrea
dc.contributor.author Laven, Joop
dc.contributor.author Franks, Steve
dc.contributor.author Lindgren, Cecilia M.
dc.contributor.author Welt, Corrine K.
dc.date.accessioned 2019-09-23T11:20:48Z
dc.date.available 2019-09-23T11:20:48Z
dc.date.issued 2018-12-19
dc.identifier.citation Day F, Karaderi T, Jones MR, Meun C, He C, Drong A, et al. (2018) Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria. PLoS Genet 14(12): e1007813. https://doi.org/10.1371/journal.pgen.1007813
dc.identifier.issn 1553-7390
dc.identifier.issn 1553-7404 (eISSN)
dc.identifier.uri https://hdl.handle.net/20.500.11815/1257
dc.description Publisher's version (útgefin grein)
dc.description.abstract Polycystic ovary syndrome (PCOS) is a disorder characterized by hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology. Affected women frequently have metabolic disturbances including insulin resistance and dysregulation of glucose homeostasis. PCOS is diagnosed with two different sets of diagnostic criteria, resulting in a phenotypic spectrum of PCOS cases. The genetic similarities between cases diagnosed based on the two criteria have been largely unknown. Previous studies in Chinese and European subjects have identified 16 loci associated with risk of PCOS. We report a fixed-effect, inverse-weighted-variance meta-analysis from 10,074 PCOS cases and 103,164 controls of European ancestry and characterisation of PCOS related traits. We identified 3 novel loci (near PLGRKT, ZBTB16 and MAPRE1), and provide replication of 11 previously reported loci. Only one locus differed significantly in its association by diagnostic criteria; otherwise the genetic architecture was similar between PCOS diagnosed by self-report and PCOS diagnosed by NIH or non-NIH Rotterdam criteria across common variants at 13 loci. Identified variants were associated with hyperandrogenism, gonadotropin regulation and testosterone levels in affected women. Linkage disequilibrium score regression analysis revealed genetic correlations with obesity, fasting insulin, type 2 diabetes, lipid levels and coronary artery disease, indicating shared genetic architecture between metabolic traits and PCOS. Mendelian randomization analyses suggested variants associated with body mass index, fasting insulin, menopause timing, depression and male-pattern balding play a causal role in PCOS. The data thus demonstrate 3 novel loci associated with PCOS and similar genetic architecture for all diagnostic criteria. The data also provide the first genetic evidence for a male phenotype for PCOS and a causal link to depression, a previously hypothesized comorbid disease. Thus, the genetics provide a comprehensive view of PCOS that encompasses multiple diagnostic criteria, gender, reproductive potential and mental health.
dc.description.sponsorship This work has been supported by MRC grant MC_U106179472 (FD, KO, JRBP), Samuel Oschin Comprehensive Cancer Institute Developmental Funds, Center for Bioinformatics and Functional Genomics and Department of Biomedical Sciences Developmental Funds (MRJ), NCI P30CA177558 (CH), NCI UM1CA186107 (PK), European Regional Development Fund (Project No. 2014-2020.4.01.15-0012) and the European Union’s Horizon 2020 research and innovation program under grant agreements No 692065 (TL, RM, AS) and 692145 (RM), NICHD R01HD065029 (RS), Estonian Ministry of Education and Research (grant IUT34-16 to TL), NICHD R01HD057450 (MU), NICHD P50HD044405 (AD), NICHD R01HD057223 (AD), R01HD085227 (MGH, AD), deCode Genetics (GT, UT, KS, US), Raine Medical Research Foundation Priming Grant (BHM), SCGOPHCG RAC 2015-16/034 (SGW, BGAS), 2016-17/018 (BGAS), NIHR BRC, Wellcome Trust, MRC (TDS), Eris M. Field Chair in Diabetes Research (MOG), NIDDK P30 DK063491 (MOG), NIDDK U01DK094431, U01DK048381 (DE), NICHD U10HD38992 (RL), Estonian Ministry of Education and Research (grant IUT34-16), Enterprise Estonia (grant EU48695); the EU-FP7 Marie Curie Industry-Academia Partnerships and Pathways (IAPP, grant SARM, EU324509 to AS), Wellcome (090532, 098381, 203141); European Commission (ENGAGE: HEALTH-F4-2007-201413 to MIM), MRC G0802782, MR/M012638/1 (SF), Li Ka Shing Foundation, WT-SSI/John Fell Funds, NIHR Biomedical Research Centre, Oxford, Widenlife and NICHD 5P50HD028138-27 (CML), NICHD R01HD065029, ADA 1-10-CT-57, Harvard Clinical and Translational Science Center, from the National Center for Research Resources 1UL1 RR025758 (CKW). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
dc.format.extent e1007813
dc.language.iso en
dc.publisher Public Library of Science (PLoS)
dc.relation info:eu-repo/grantAgreement/EC/H2020/692065
dc.relation info:eu-repo/grantAgreement/EC/H2020/692145
dc.relation info:eu-repo/grantAgreement/EC/FP7/EU324509
dc.relation.ispartofseries PLOS Genetics;14(12)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Polycystic ovary syndrome
dc.subject Genetic loci
dc.subject Metaanalysis
dc.subject Genetics of disease
dc.subject Human genetics
dc.subject Phenotypes
dc.subject Body mass index
dc.subject Genome-wide association studies
dc.subject Kvensjúkdómar
dc.subject Eggjastokkar
dc.subject Erfðafræði
dc.subject Rannsóknir
dc.subject Líkamsþyngdarstuðull
dc.title Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria
dc.type info:eu-repo/semantics/article
dcterms.license This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.version Peer Reviewed
dc.identifier.journal Plos Genetics
dc.identifier.doi 10.1371/journal.pgen.1007813
dc.relation.url http://dx.plos.org/10.1371/journal.pgen.1007813
dc.contributor.department Læknadeild (HÍ)
dc.contributor.department Faculty of Medicine (UI)
dc.contributor.school Heilbrigðisvísindasvið (HÍ)
dc.contributor.school School of Health Sciences (UI)


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