Evaluating potential risk factors linked to endometriosis

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Publication Details

Journal
Medicine
Published
2026-09-18
DOI
https://doi.org/10.1097/md.0000000000050675
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating potential risk factors linked to endometriosis

Li Han, Binsheng He, Yining Ding, Peipei Hong et al.
Medicine
Endometriosis Research and Treatment
article

Evaluating potential risk factors linked to endometriosis

Li Han, Binsheng He, Yining Ding, Peipei Hong, Rumeng Chen, Sen Li, Mengling Zhang, Menghua Liu, Shuling Xu, Zhiwei Zheng, Meihua Bao
article en

Abstract

Earlier examinations of how risk factors relate to endometriosis (EMT) have largely depended on observational designs, which arrived at conflicting conclusions. The present approach seeks to probe the causal association between 108 traits and EMT by means of Mendelian randomization (MR) analysis. MR analysis was applied to explore the connections between a range of traits and the development of EMT. Most of the data used in the genome-wide association studies of these characteristics came from the UK Biobank (UKBB), whereas the genome-wide association studies for EMT drew specifically on FinnGen. Using the inverse-variance weighted approach, suggestive relationships emerged between 12 traits and EMT, including "telomere length" (odds ratio [OR] = 1.29; 95% confidence interval [CI]: 1.13-1.47), "triglycerides" (OR = 1.13; 95% CI: 1.05-1.21), and "high-density lipoprotein cholesterol" (OR = 0.89; 95% CI: 0.83-0.95). For most of these traits, sensitivity analyses based on the weighted median and MR-Egger methods yielded concordant results. Overall, our results point to causal associations between the 12 traits and EMT. They furnish a fresh conceptual foundation for preventing or lessening the risks associated with EMT.

MedicineVol. 105(38)
Changsha Medical University (CN), Beijing University of Chinese Medicine (CN), First People's Hospital of Chongqing (CN)
Openalex Percentile: Top 9%
Endometriosis Research and Treatment
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