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Joint Genome-Wide Association Analyses Identified 49 Novel Loci For Age at Natural Menopause.

Authors :
Lei Zhang
Xin-Tong Wei
Jun-Jie Niu
Zi-Xuan Lin
Qian Xu
Jing-Jing Ni
Wan-Lin Zhang
Bai-Xue Han
Shan-Shan Yan
Gui-Juan Feng
Hong Zhang
Xiao-Lin Yang
Zi-Jia Zhang
Rong Hai
Hai-Gang Ren
Feng Zhang
Yu-Fang Pei
Zhang, Lei
Wei, Xin-Tong
Niu, Jun-Jie
Source :
Journal of Clinical Endocrinology & Metabolism; Sep2021, Vol. 106 Issue 9, p2574-2591, 18p
Publication Year :
2021

Abstract

<bold>Background: </bold>Age at natural menopause (ANM) is an important index for women's health. Either early or late ANM is associated with a series of adverse outcomes later in life. Despite being an inheritable trait, its genetic determinant has not yet been fully understood.<bold>Methods: </bold>Aiming to better characterize the genetic architecture of ANM, we conducted genome-wide association study (GWAS) meta-analyses in European-specific as well as trans-ancestry samples by using GWAS summary statistics from the following 3 large studies: the Reproductive Genetics Consortium (ReproGen; N = 69 626), the UK Biobank cohort (UKBB; N = 111 593) and the BioBank Japan Project (BBJ; N = 43 861), followed by a series of bioinformatical assessments and functional annotations.<bold>Results: </bold>By integrating the summary statistics from the 3 GWAS of up to 225 200 participants, this largest meta-analysis identified 49 novel loci and 3 secondary signals that were associated with ANM at the genome-wide significance level (P < 5 × 10-8). No population specificity or heterogeneity was observed at most of the associated loci. Functional annotations prioritized 90 candidate genes at the newly identified loci. Among the 26 traits that were genetically correlated with ANM, hormone replacement therapy (HRT) exerted a causal relationship, implying a causal pattern by which HRT was determined by ANM.<bold>Conclusion: </bold>Our findings improved our understanding of the etiology of female menopause, as well as shed light on potential new therapies for abnormal menopause. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0021972X
Volume :
106
Issue :
9
Database :
Complementary Index
Journal :
Journal of Clinical Endocrinology & Metabolism
Publication Type :
Academic Journal
Accession number :
152178224
Full Text :
https://doi.org/10.1210/clinem/dgab377