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

Autor:	Zhong W; Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.; Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China.; Department of Obstetrics and Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China., Wang Q; Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China., Peng D; Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China., Zou Y; Department of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China., Chen Y; Department of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China., Xia Y; Department of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China., Zhang X; Department of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China., Shu M; Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China., Song C; Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China., Wang Y; Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China., Fu Y; Department of Obstetrics and Gynecology, Chinese People's Liberation Army Medical School, Beijing, China., Wang S; Department of Obstetrics and Gynecology, Chinese People's Liberation Army Medical School, Beijing, China., Ma Y; Department of Obstetrics and Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China., Bu X; Department of Obstetrics and Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China., Liang Y; Department of Obstetrics and Gynecology, Affiliated Hospital of Youjiang Medical University of Nationalities, Baise, Guangxi, China., Chen Y; Department of Obstetrics and Gynecology, Affiliated Hospital of Youjiang Medical University of Nationalities, Baise, Guangxi, China., Bai W; Department of Obstetrics and Gynecology, BeiJing Shijitan Hospital, Beijing, China., Chen Y; Department of Obstetrics and Gynecology, BeiJing Shijitan Hospital, Beijing, China., Deng C; Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China., Zhang W; Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China., Zhou M; Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China., Lv L; Department of Obstetrics and Gynecology, Huanghua Development Zone Boai Hospital, Cangzhou, Hebei, China., Zhang L; Department of Obstetrics and Gynecology, Maternal and Child Health Hospital of Zhuji, Zhuji, Zhejiang, China., Lu S; Department of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China., Shang W; Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.; Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China.; Department of Obstetrics and Gynecology, Chinese People's Liberation Army Medical School, Beijing, China.
Jazyk:	angličtina
Zdroj:	Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2024 Dec 02; Vol. 15, pp. 1518288. Date of Electronic Publication: 2024 Dec 02 (Print Publication: 2024).
DOI:	10.3389/fendo.2024.1518288
Abstrakt:	Objective: This 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 Design: Genotyping 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 Measures: The 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. Results: The 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. Conclusions: We 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. Competing Interests: The SNPs testing fees for all volunteers recruited in the study are waived by Yikon Genomics Co.,Ltd. All authors have no other competing interests to disclose. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision. (Copyright © 2024 Zhong, Wang, Peng, Zou, Chen, Xia, Zhang, Shu, Song, Wang, Fu, Wang, Ma, Bu, Liang, Chen, Bai, Chen, Deng, Zhang, Zhou, Lv, Zhang, Lu and Shang.)
Databáze:	MEDLINE
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