Related Experiment Video
Updated: May 11, 2025
12:25
Cell-Specific Paired Interrogation of the Mouse Ovarian Epigenome and Transcriptome
Published on: February 24, 2023
763
Bidirectional Two-Sample Mendelian Randomization Study Reveals Causal Associations Between Aging and Endometriosis
Limei Chen1, Han Yan2, Jichan Nie2
1Hysteroscoy Center, Shanghai Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, People's Republic of China.
International Journal of Women'S Health
|April 18, 2025
Summary
Longer leukocyte telomere length (LTL) may increase endometriosis risk, especially ovarian and rectovaginal types. However, endometriosis does not appear to cause aging, and findings require validation in diverse populations.
Area of Science:
- Reproductive biology and aging research
- Genetic epidemiology of women's health conditions
Background:
- Aging is suspected to influence female reproductive functions.
- The causal link between aging and endometriosis remains unclear.
Purpose of the Study:
- To investigate the potential causal association between aging and endometriosis incidence.
- To examine the role of leukocyte telomere length (LTL) as an aging biomarker in endometriosis risk.
Main Methods:
- Bidirectional Mendelian randomization (MR) analyses were employed.
- Instrumental variables for LTL were sourced from UK Biobank GWAS.
- Endometriosis-associated variants were obtained from FinnGen GWAS dataset; subgroup and validation analyses were conducted.
Main Results:
- Longer LTL showed a significant association with increased endometriosis risk (OR-IVW = 1.276, P = 7.00E-5).
- This association was particularly noted for ovarian and rectovaginal endometriosis subtypes.
- Bidirectional MR revealed no causal effect of endometriosis on LTL; sensitivity analyses lacked confirmation.
Conclusions:
- Longer LTL may be a risk factor for specific endometriosis subtypes.
- No evidence suggests endometriosis causally impacts aging biomarkers like LTL.
- Lack of replication underscores the need for validation in diverse populations due to potential heterogeneity.
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