Evidence map›Paper›PMID 39687074›Full record

ArticleFrontiers in endocrinology2024

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

Wei Zhong, Qihang Wang, Dingchuan Peng, Yangyun Zou, Yulin Chen, Yingying Xia, Xin Zhang, Mingming Shu, Chunlan Song, Yiran Wang and 15 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Wei Zhong *Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.
Qihang Wang *Department of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.
Dingchuan Peng *Department of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China.
Yangyun ZouDepartment of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China.
Yulin ChenDepartment of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China.
Yingying XiaDepartment of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China.
Xin ZhangDepartment of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China.
Mingming ShuDepartment of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China.
Chunlan SongDepartment of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.
Yiran WangDepartment of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China.
Yiyao FuDepartment of Obstetrics and Gynecology, Chinese People's Liberation Army Medical School, Beijing, China.
Sishuo WangDepartment of Obstetrics and Gynecology, Chinese People's Liberation Army Medical School, Beijing, China.
Yanmin MaDepartment of Obstetrics and Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Xiaomeng BuDepartment of Obstetrics and Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Yuexiu LiangDepartment of Obstetrics and Gynecology, Affiliated Hospital of Youjiang Medical University of Nationalities, Baise, Guangxi, China.
Yuzhen ChenDepartment of Obstetrics and Gynecology, Affiliated Hospital of Youjiang Medical University of Nationalities, Baise, Guangxi, China.
Wenpei BaiDepartment of Obstetrics and Gynecology, BeiJing Shijitan Hospital, Beijing, China.
Yanrong ChenDepartment of Obstetrics and Gynecology, BeiJing Shijitan Hospital, Beijing, China.
Chengyan DengDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China.
Wanyu ZhangDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China.
Ming ZhouDepartment of Obstetrics and Gynecology, The Sixth Medical Center of People's Liberation Army General Hospital, Beijing, China.
Lijuan LvDepartment of Obstetrics and Gynecology, Huanghua Development Zone Boai Hospital, Cangzhou, Hebei, China.
Linyan ZhangDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital of Zhuji, Zhuji, Zhejiang, China.
Sijia LuDepartment of Clinical Research, Yikon Genomics Co., Ltd, Suzhou, Jiangsu, China.
Wei ShangDepartment of Obstetrics and Gynecology, The Seventh Medical Center of People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Menopause, PrematureMultifactorial InheritanceAdultCase-Control StudiesChinaFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMiddle AgedPolymorphism, Single NucleotideRisk AssessmentRisk Factorsearly menopausemulti-centerpolygenic risk scorespremature ovarian failurepremature ovarian insufficiency

Identifiers

PMID39687074
PMCPMC11646720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.