Causal Association Between BMI and Polycystic Ovarian Syndrome: Bidirectional 2-Sample Mendelian Randomization Study.

J Clin Endocrinol Metab

Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350000, Fujian, China.

Published: December 2024

AI Article Synopsis

  • - The study investigated how body mass index (BMI) may cause polycystic ovarian syndrome (PCOS) using genetic data from a platform called Mendelian randomization (MR).
  • - Analysis of 427 genetic variants linked to BMI showed a strong and positive association with PCOS, indicating that higher BMI increases the risk of developing this syndrome.
  • - The results also suggest a two-way relationship, where genetic predisposition to PCOS can lead to increased BMI, highlighting an interconnected causal loop between the two conditions.

Article Abstract

Objective: This study aimed to explore the causal effect of body mass index (BMI) on polycystic ovarian syndrome (PCOS).

Methods: Genome-wide association data for BMI and PCOS were sourced from the Mendelian randomization (MR) base platform. Significantly associated single nucleotide polymorphisms (SNPs) for BMI served as instrumental variables in bidirectional 2-sample MR analyses to investigate the causal relationship between BMI and PCOS. Analytical techniques utilized encompassed the inverse variance weighted (IVW) method, weighted median estimator, and MR-Egger regression.

Results: We identified 427 SNPs significantly associated with BMI (P < 5 × 10-8; linkage disequilibrium r2 < 0.001). Various methods consistently revealed a positive association between BMI and PCOS (IVW: odds ratio [OR] 2.027 [95% CI 1.599-2.596]; weighted median estimator: OR 2.368 [95% CI 1.653-3.392]; MR-Egger method: OR 3.610 [95% CI 1.795-7.263]), indicating that higher BMI correlates with an increased risk of PCOS. Additionally, we observed a causal effect of genetic predisposition to PCOS on BMI (IVW: OR 1.020 [95% CI 1.019-1.022]; weighted median estimator: OR 1.017 [95% CI 1.015-1.019]; MR-Egger method: OR 1.000 [95% CI 0.995-1.005]).

Conclusion: The MR analysis furnished compelling evidence suggesting a causal relationship between elevated BMI and the risk of PCOS, as well as indicating that the severity of PCOS may contribute to elevated BMI levels.

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Source
http://dx.doi.org/10.1210/clinem/dgae446DOI Listing

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