Opin vísindi

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

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


Title: Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria
Author: Day, Felix
Karaderi, Tugce
Jones, Michelle R.
Meun, Cindy
He, Chunyan
Drong, Alex
Kraft, Peter
Lin, Nan
Huang, Hongyan
Broer, Linda
... 39 more authors Show all authors
Date: 2018-12-19
Language: English
Scope: e1007813
University/Institute: Háskóli Íslands
University of Iceland
School: Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Department: Læknadeild (HÍ)
Faculty of Medicine (UI)
Series: PLOS Genetics;14(12)
ISSN: 1553-7390
1553-7404 (eISSN)
DOI: 10.1371/journal.pgen.1007813
Subject: Polycystic ovary syndrome; Genetic loci; Metaanalysis; Genetics of disease; Human genetics; Phenotypes; Body mass index; Genome-wide association studies; Kvensjúkdómar; Eggjastokkar; Erfðafræði; Rannsóknir; Líkamsþyngdarstuðull
URI: https://hdl.handle.net/20.500.11815/1257

Show full item record

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

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.

Description:

Publisher's version (útgefin grein)

Rights:

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.

Files in this item

This item appears in the following Collection(s)