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GWAS Study

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

Day F, Karaderi T, Jones MR et al.

30566500 PubMed ID
GWAS Study Type
113238 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

DF
Day F
KT
Karaderi T
JM
Jones MR
MC
Meun C
HC
He C
DA
Drong A
KP
Kraft P
LN
Lin N
HH
Huang H
BL
Broer L
MR
Magi R
SR
Saxena R
LT
Laisk T
UM
Urbanek M
HM
Hayes MG
TG
Thorleifsson G
FJ
Fernandez-Tajes J
MA
Mahajan A
MB
Mullin BH
SB
Stuckey BGA
ST
Spector TD
WS
Wilson SG
GM
Goodarzi MO
DL
Davis L
OB
Obermayer-Pietsch B
UA
Uitterlinden AG
AV
Anttila V
NB
Neale BM
JM
Jarvelin MR
FB
Fauser B
KI
Kowalska I
VJ
Visser JA
AM
Andersen M
OK
Ong K
SE
Stener-Victorin E
ED
Ehrmann D
LR
Legro RS
SA
Salumets A
MM
McCarthy MI
ML
Morin-Papunen L
TU
Thorsteinsdottir U
SK
Stefansson K
SU
Styrkarsdottir U
PJ
Perry JRB
DA
Dunaif A
LJ
Laven J
FS
Franks S
LC
Lindgren CM
WC
Welt CK
Chapter II

Abstract

Summary of the research findings

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.

10,074 European ancestry cases, 103,164 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

113238
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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