Zhong Wei, Wang Qihang, Peng Dingchuan, Zou Yangyun, Chen Yulin, Xia Yingying, Zhang Xin, Shu Mingming, Song Chunlan, Wang Yiran, Fu Yiyao, Wang Sishuo, Ma Yanmin, Bu Xiaomeng, Liang Yuexiu, Chen Yuzhen, Bai Wenpei, Chen Yanrong, Deng Chengyan, Zhang Wanyu, Zhou Ming, Lv Lijuan, Zhang Linyan, Lu Sijia, Shang Wei
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.
Front Endocrinol (Lausanne). 2024 Dec 2;15:1518288. doi: 10.3389/fendo.2024.1518288. eCollection 2024.
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.
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.
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.
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.
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.
本研究旨在评估多基因风险评分(PRS)在早发性绝经(EM)女性中的效用,并基于遗传风险调查与EM相关的临床特征和危险因素。
从英国生物银行获取的早发性绝经女性和绝经年龄正常女性的基因分型数据及临床数据用于建立早发性绝经风险预测模型。随后,从中国八家医院招募了99例被诊断为EM的女性和1027例接受胚胎植入前遗传学检测-单基因病检测(PGT-M)的对照女性进行模型验证。根据PRS百分位数,将这些参与者进一步分为高风险和中风险组。比较不同风险水平女性的特征,并对早发性绝经的危险因素进行统计分析。
EM组和对照组中高风险女性的比例;不同风险水平女性之间有显著差异的特征;与EM相关的危险因素。
EM组中高风险女性的比例显著高于接受PGT-M的对照女性(PGT-M组)(OR = 3.78),以及英国生物银行中绝经年龄正常女性(UKB组)(OR = 5.11)。值得注意的是,与EM中风险女性相比,EM高风险女性表现出明显不同的特征,并确定了几个与EM相关的危险因素。
我们建立了一个PRS模型,作为EM风险预测的有价值工具。探索性分析显示,EM高风险女性身高较高,提示与EM相关的基因位点可能也影响生长发育水平。发现几个危险因素可能与EM相关,如家族过度安逸、新冠病毒疫苗接种、熬夜,以及丈夫吸烟酗酒。