Causal Association Between Body Mass Index (BMI) and Polycystic Ovarian Syndrome: Bidirectional 2-Sample Mendelian Randomization Study
Authors' 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.
Study context
- Population
- Genome-wide association data for BMI and polycystic ovarian syndrome (PCOS) from the Mendelian randomization (MR) base platform427 single nucleotide polymorphisms (SNPs) for BMI
- Comparison
- Genetically predicted BMI vs PCOS
- Outcome
- Causal effect of BMI on PCOS
Methodological detailsMethods: Inverse variance weighted (IVW), weighted median estimator, MR-Egger regression, Instruments: SNPs associated with BMI (P < 5 × 10-8; linkage disequilibrium r2 < 0.001)
- Methods: IVW, weighted median estimator, MR-Egger regression
- Instruments: SNPs associated with BMI (P < 5 × 10-8; linkage disequilibrium r2 < 0.001)
Main finding
As reported in the abstract
PCOS risk per genetically predicted BMI
IVW: OR
2.027
95% CI 1.599–2.596
Weighted median estimator: OR
2.368
95% CI 1.653–3.392
MR-Egger: OR
3.610
95% CI 1.795–7.263
Further findings
BMI per genetic predisposition to PCOS (reverse direction)
- IVW: OR
- 1.020 (95% CI 1.019-1.022)
- Weighted median estimator: OR
- 1.017 (95% CI 1.015-1.019)
- MR-Egger: OR
- 1.000 (95% CI 0.995-1.005)
Original publication
Causal Association Between BMI and Polycystic Ovarian Syndrome: Bidirectional 2-Sample Mendelian Randomization Study. J Clin Endocrinol Metab. Published 29 June 2024. doi:10.
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