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GWAS Study

Atlas of genetic and phenotypic associations across 42 female reproductive health diagnoses.

Pujol Gualdo N, Džigurski J, Rukins V et al.

40069456 PubMed ID
GWAS Study Type
295291 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

PG
Pujol Gualdo N
DJ
Džigurski J
RV
Rukins V
PF
Pajuste FD
WB
Wolford BN
VM
Võsa M
GM
Golob M
HL
Haug L
AM
Alver M
LK
Läll K
PM
Peters M
BB
Brumpton BM
PP
Palta P
MR
Mägi R
LT
Laisk T
Chapter II

Abstract

Summary of the research findings

The genetic background of many female reproductive health diagnoses remains uncharacterized, compromising our understanding of the underlying biology. Here, we map the genetic architecture across 42 female-specific health conditions using data from up to 293,618 women from two large population-based cohorts, the Estonian Biobank and the FinnGen study. Our study illustrates the utility of genetic analyses in understanding women's health better. As specific examples, we describe genetic risk factors for ovarian cysts that elucidate the genetic determinants of folliculogenesis and, by leveraging population-specific variants, uncover new candidate genes for uterine fibroids. We find that most female reproductive health diagnoses have a heritable component, with varying degrees of polygenicity and discoverability. Finally, we identify pleiotropic loci and genes that function in genital tract development (WNT4, PAX8, WT1, SALL1), hormonal regulation (FSHB, GREB1, BMPR1B, SYNE1/ESR1) and folliculogenesis (CHEK2), underlining their integral roles in female reproductive health.

3,408 European ancestry cases, 291,883 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

295291
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Finland, Estonia
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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