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

dc.contributorHáskóli Íslandsen_US
dc.contributorUniversity of Icelanden_US
dc.contributor.authorDay, Felix
dc.contributor.authorKaraderi, Tugce
dc.contributor.authorJones, Michelle R.
dc.contributor.authorMeun, Cindy
dc.contributor.authorHe, Chunyan
dc.contributor.authorDrong, Alex
dc.contributor.authorKraft, Peter
dc.contributor.authorLin, Nan
dc.contributor.authorHuang, Hongyan
dc.contributor.authorBroer, Linda
dc.contributor.authorMagi, Reedik
dc.contributor.authorSaxena, Richa
dc.contributor.authorLaisk, Triin
dc.contributor.authorUrbanek, Margrit
dc.contributor.authorHayes, M. Geoffrey
dc.contributor.authorThorleifsson, Gudmar
dc.contributor.authorFernandez-Tajes, Juan
dc.contributor.authorMahajan, Anubha
dc.contributor.authorMullin, Benjamin H.
dc.contributor.authorStuckey, Bronwyn G. A.
dc.contributor.authorSpector, Timothy D.
dc.contributor.authorWilson, Scott G.
dc.contributor.authorGoodarzi, Mark O.
dc.contributor.authorDavis, Lea
dc.contributor.authorObermayer-Pietsch, Barbara
dc.contributor.authorUitterlinden, André G.
dc.contributor.authorAnttila, Verneri
dc.contributor.authorNeale, Benjamin M.
dc.contributor.authorJarvelin, Marjo-Riitta
dc.contributor.authorFauser, Bart
dc.contributor.authorKowalska, Irina
dc.contributor.authorVisser, Jenny A.
dc.contributor.authorAndersen, Marianne
dc.contributor.authorOng, Ken
dc.contributor.authorStener-Victorin, Elisabet
dc.contributor.authorEhrmann, David
dc.contributor.authorLegro, Richard S.
dc.contributor.authorSalumets, Andres
dc.contributor.authorMcCarthy, Mark I.
dc.contributor.authorMorin-Papunen, Laure
dc.contributor.authorThorsteinsdottir, Unnur
dc.contributor.authorStefansson, Kari
dc.contributor.authorStyrkarsdottir, Unnur
dc.contributor.authorPerry, John R. B.
dc.contributor.authorDunaif, Andrea
dc.contributor.authorLaven, Joop
dc.contributor.authorFranks, Steve
dc.contributor.authorLindgren, Cecilia M.
dc.contributor.authorWelt, Corrine K.
dc.contributor.departmentLæknadeild (HÍ)en_US
dc.contributor.departmentFaculty of Medicine (UI)en_US
dc.contributor.schoolHeilbrigðisvísindasvið (HÍ)en_US
dc.contributor.schoolSchool of Health Sciences (UI)en_US
dc.date.accessioned2019-09-23T11:20:48Z
dc.date.available2019-09-23T11:20:48Z
dc.date.issued2018-12-19
dc.descriptionPublisher's version (útgefin grein)en_US
dc.description.abstractPolycystic 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.en_US
dc.description.sponsorshipThis 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.en_US
dc.description.versionPeer Revieweden_US
dc.format.extente1007813en_US
dc.identifier.citationDay 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.1007813en_US
dc.identifier.doi10.1371/journal.pgen.1007813
dc.identifier.issn1553-7390
dc.identifier.issn1553-7404 (eISSN)
dc.identifier.journalPlos Geneticsen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11815/1257
dc.language.isoenen_US
dc.publisherPublic Library of Science (PLoS)en_US
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/692065en_US
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/692145is
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/EU324509is
dc.relation.ispartofseriesPLOS Genetics;14(12)
dc.relation.urlhttp://dx.plos.org/10.1371/journal.pgen.1007813en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPolycystic ovary syndromeen_US
dc.subjectGenetic locien_US
dc.subjectMetaanalysisen_US
dc.subjectGenetics of diseaseen_US
dc.subjectHuman geneticsen_US
dc.subjectPhenotypesen_US
dc.subjectBody mass indexen_US
dc.subjectGenome-wide association studiesen_US
dc.subjectKvensjúkdómaren_US
dc.subjectEggjastokkaren_US
dc.subjectErfðafræðien_US
dc.subjectRannsókniren_US
dc.subjectLíkamsþyngdarstuðullen_US
dc.titleLarge-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteriaen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dcterms.licenseThis 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.en_US

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