Evidence map›Paper›PMID 40369625›Full record

ArticleReproductive biology and endocrinology : RB&E2025

Dissecting the genetic determinants and biological associations between body mass index and female reproductive disorders based on genome-wide association study.

Huijing Shao, Chang Xu, Haoran Wang, Nan Lu, Hang Gu, Caihong Zhang, Lirong Li, Qianqian Sun, Rui Guan, Beibei Xuan

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PubMed Full text at PMC Publisher
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Huijing Shao *Department of Obstetrics and Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Chang Xu *Department of Obstetrics and Gynecology, The First Affiliated Hospital of Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China.
Haoran Wang *Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Nan LuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China.
Hang GuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China.
Caihong ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China.
Lirong LiDepartment of Traditional Chinese Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.
Qianqian SunDepartment of Obstetrics and Gynecology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Rui GuanDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China. cngreen785@163.com.ORCID http://orcid.org/0000-0002-5876-2695
Beibei XuanDepartment of Anesthesiology, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongii University, No. 2699, Gaoke West Road, Pudong New Area, Shanghai, 200092, China. beibeixuan1204@163.com.ORCID http://orcid.org/0000-0001-9717-9200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile the phenotypic link between body mass index (BMI) and some female reproductive disorders is well established, the genetic architecture and causal relationships have not been systematically studied. We aimed to create an atlas of the shared genetic associations of BMI and 16 female reproductive disorders and to identify their common risk loci, biological pathways, and potential mechanisms.

methodsWe assessed the genetic correlations between BMI and 16 reproductive disorders using summary data from large-scale genome-wide association studies. Cross-trait pleiotropic analysis identified shared loci and genes, while functional annotation and tissue-specific analysis revealed relevant biological pathways and tissues. Multi-trait colocalization analysis examined the role of hormones and metabolites in these traits. Additionally, bidirectional Mendelian randomization (MR) analysis was employed to assess causal relationships between BMI and reproductive outcomes. We also conducted summary data-based MR (SMR) analysis to identify potential drug targets.

resultsOur results revealed a significant genetic correlation between BMI and eight female reproductive diseases. Furthermore, we identified 50 shared pleiotropic loci between BMI and these traits, with 21 of them showing significant colocalization, suggesting a complex shared genetic architecture across the genome. In addition, the top biological pathways and tissues enriched with these pleiotropic loci were associated with RNA metabolism, macromolecule biosynthesis, type B pancreatic cell apoptosis, various brain regions, and the pituitary. Moreover, multi-trait colocalization indicated that insulin, lipid metabolites, glucose, glycine, and glutamine mediate shared mechanisms between BMI, gestational diabetes mellitus (GDM), and endometrial cancer. MR analysis suggested BMI may cause several reproductive diseases, with only GDM affecting BMI reversely. Finally, SMR analysis revealed EIF2S2P3 and MCM6, which may have a causative effect on both BMI & GDM and BMI & gestational hypertension.

conclusionOur results suggest a significant genetic link between BMI and eight female reproductive diseases, highlighting a shared and causal genetic basis. Reducing BMI in women may serve as an effective strategy to lower the risk of female reproductive disorders. The identified pleiotropic loci, genes, and shared pathways could provide new therapeutic targets for both obesity and reproductive diseases, along with their comorbidities. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Body Mass IndexInfertility, FemaleFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisObesityPolymorphism, Single NucleotideBody mass indexFemale reproductive disordersGenetic architectureHormonesMetabolites

Identifiers

PMID40369625
PMCPMC12076840

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.