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Genetic risk stratification and risk factors of early menopause in women: a multi-center study utilizing polygenic risk scores

Authors :
Wei Zhong
Qihang Wang
Dingchuan Peng
Yangyun Zou
Yulin Chen
Yingying Xia
Xin Zhang
Mingming Shu
Chunlan Song
Yiran Wang
Yiyao Fu
Sishuo Wang
Yanmin Ma
Xiaomeng Bu
Yuexiu Liang
Yuzhen Chen
Wenpei Bai
Yanrong Chen
Chengyan Deng
Wanyu Zhang
Ming Zhou
Lijuan Lv
Linyan Zhang
Sijia Lu
Wei Shang
Source :
Frontiers in Endocrinology, Vol 15 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

ObjectiveThis study aims to evaluate the utility of polygenic risk scores (PRS) in women with early menopause (EM) and to investigate the clinical characteristics and risk factors associated with EM based on genetic risk.Study designGenotyping data and clinical data from women with EM and women with normal age of menopause retrieved from UK Biobank were used for early menopause risk prediction model establishment. Subsequently, 99 women diagnosed with EM and 1027 control women underwent PGT-M were recruited for model validation from across eight hospitals in China. According to PRS percentiles, these participants were further classified into high risk and intermediate risk groups. Characteristics among women at different risk levels were compared, and risk factors with early menopause were also statistical analyzed.Main outcome measuresThe proportion of women at high risk in EM and control groups; Characteristics with significant difference among women at different risk levels; risk factors associated with EM.ResultsThe proportion of high-risk women in the EM group was significantly higher than that in control women underwent PGT-M (Group PGT-M) (OR = 3.78), and that in women with normal age menopause from UK Biobank (Group UKB) (OR = 5.11). Notably, the women with high risk of EM exhibited distinct characteristics compared to women with the intermediate-risk of EM, and identified several risk factors associated with EM.ConclusionsWe established a PRS model to serves as a valuable instrument for EM risk prediction. The exploratory analysis revealed that women with high risk of EM exhibited a higher height, suggesting EM related genetic loci may also influence growth and development level. Several risk factors were found to be potentially associated with EM, such as excessive familial contentment, COVID-19 vaccination, staying up late, and the husband’s engagement in smoking and alcohol abuse.

Details

Language :
English
ISSN :
16642392
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Endocrinology
Publication Type :
Academic Journal
Accession number :
edsdoj.1c3938371052415db523ff6d776673af
Document Type :
article
Full Text :
https://doi.org/10.3389/fendo.2024.1518288