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Genetically predicted obstructive sleep apnea liability associated with increased myocardial infarction risk in Mendelian randomization analysis

Genetically predicted obstructive sleep apnea liability associated with increased myocardial infarct…
Photo by Vitaly Gariev / Unsplash
Key Takeaway
Note that genetically predicted OSA liability is associated with increased MI risk, but this association is largely mediated by BMI and blood pressure.

This Mendelian randomization analysis evaluated the causal relationship between genetically predicted liability to obstructive sleep apnea (OSA) and the risk of myocardial infarction (MI). The study utilized genetic instruments to assess OSA liability, finding an odds ratio of 1.0024 per log-OR increase in liability (95% CI: 1.0010-1.0039; P=0.001). This suggests a potential causal link, though the effect size per unit increase is very small.

mediation analysis revealed that body mass index (BMI) was the strongest mediator, explaining 35.94% of the observed association (P=0.030). In contrast, systolic blood pressure showed minimal mediation, accounting for only 0.28% of the association (P=0.678). When the model was adjusted for both BMI and systolic blood pressure, the direct association between OSA and MI was attenuated, with a P-value of 0.156.

Further modeling including atrial fibrillation demonstrated that OSA had only a marginal direct effect (P=0.050), whereas atrial fibrillation remained independently associated with MI (P=0.004). The analysis also found no evidence that MI influenced OSA risk, ruling out reverse causality. Safety data, adverse events, and discontinuations were not reported. The study limitations include the inherent constraints of Mendelian randomization designs and the attenuation of the primary association after accounting for established cardiometabolic risk factors like obesity and hypertension.

Study Details

EvidenceLevel 5
PublishedMar 2026
View Original Abstract ↓
BACKGROUND: Observational studies have suggested an association between obstructive sleep apnea (OSA) and myocardial infarction (MI), but whether this relationship is causal or largely reflects shared risk factors remains unclear. METHODS AND RESULTS: We performed a 2-sample Mendelian randomization (MR) analysis to evaluate the causal effect of OSA on MI. Summary statistics for OSA were obtained from FinnGen, and MI data were obtained from the UK Biobank, with external validation using CARDIoGRAMplusC4D. Mediation MR was used to assess 13 potential mediators, and a 6-step multivariable MR framework was applied to estimate the direct effect of OSA after sequential adjustment for potential confounders. Reverse MR was conducted to test possible reverse causality. Genetically predicted OSA liability was associated with increased MI risk (odds ratio [OR] per log-OR increase, 1.0024 [95% CI, 1.0010-1.0039]; P=0.001). Body mass index (BMI) was the strongest mediator, explaining 35.94% of the association (P=0.030), whereas systolic blood pressure (SBP) showed minimal mediation (0.28%; P=0.678). In stepwise multivariable MR, the OSA-MI association was attenuated after adjustment for BMI and SBP (P=0.156), suggesting partial confounding by shared cardiometabolic risk. In a model including SBP and atrial fibrillation (AF), AF remained independently associated with MI (P=0.004), whereas OSA showed only a marginal direct effect (P=0.050). Reverse MR found no evidence that MI influenced OSA risk. CONCLUSIONS: These findings support a causal association between OSA and MI and suggest that this relationship may be mediated in part through obesity-related and arrhythmia-related pathways. AF may represent an important intermediate component of OSA-related cardiovascular risk beyond traditional hemodynamic factors. Keywords: obstructive sleep apnea; myocardial infarction; Mendelian randomization; mediation analysis; obesity.
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