ArticleFrontiers in endocrinology2023
Leukocyte telomere length is associated with increased risk of endometriosis: a bidirectional two-sample Mendelian randomization study.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Association Between Circulating Cytokines and Endometriosis: A Mendelian Randomization Study.Journal of cellular and molecular medicine · 2025Article
- Unveiling Potential Blood Markers for Endometriosis Through the Integration and Experimental Validation of Immune Cell Traits Genome and Genome-Wide Associated Data.International journal of women's health · 2025Article
- How telomere maintenance affects endometriosis development: a preliminary study.International journal of medical sciences · 2025Article
- Peripheral blood leukocyte Telomere length and endometriosis: A Mendelian randomization study.Heliyon · 2024Article
- Casual effects of telomere length on sarcoidosis: a bidirectional Mendelian randomization analysis.Frontiers in medicine · 2024Article
- A two-sample bidirectional Mendelian randomization analysis between telomere length and hyperthyroidism.Frontiers in endocrinology · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
Background: Endometriosis (EMs) is a common gynecological disorder. Observational studies on the relationship between leukocyte telomere length (LTL) and EMs have shown conflicting results. The purpose of this study was to evaluate the precise causal relationship between LTL and EMs using Mendelian randomization (MR) methodology. Methods: We employed MR to assess the causal relationship between LTL and EMs. Summary data from several large-scale genome-wide association studies (GWAS) were used for bidirectional two-sample MR analysis. Sensitivity analyses were conducted to ensure the robustness of our results. All analyses were also replicated in another completely independent EMs dataset. Results: Our MR analysis indicated that genetically predicted longer LTL increased the risk of EMs (IVW: discovery, OR=1.169, 95%CI: 1.059-1.290, p=0.002; validation, OR=1.302, 95%CI: 1.140-1.487, p=0.000), while EMs had no causal impact on LTL (IVW: discovery, OR=1.013, 95%CI: 1.000-1.027, p=0.056; IVW: validation, OR=1.005, 95%CI: 0.995-1.015, p=0.363). Causal estimates were supported by various calculation models (including MR-Egger, Weighted median, MR-PRESSO, and MR-RAPS). Heterogeneity and pleiotropy analyses also indicated robustness of the results. Conclusion: Our findings substantiate the idea that a genetically predicted longer LTL elevates the risk of EMs, with no influence of EMs on LTL risk. This research bolsters the causal link between LTL and EMs, overcoming the constraints of earlier observational studies. It implies that LTL may potentially function as a biomarker for EMs, opening up novel possibilities for EMs prevention and treatment.
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