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Lung function and cardiovascular disease: a two-sample Mendelian randomisation study.

Daniel H Higbee1,2, Raquel Granell1, Eleanor Sanderson1

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|February 12, 2021
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Summary
This summary is machine-generated.

Reduced lung function, specifically lower forced vital capacity (FVC), causally increases coronary artery disease risk. Other lung function measures like FEV1 do not show a causal link, suggesting FVC is a key factor in cardiovascular health.

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Area of Science:

  • Genetics
  • Epidemiology
  • Cardiology

Background:

  • Observational studies link reduced lung function to increased coronary artery disease (CAD) and ischemic stroke risk.
  • This association persists independently of shared risk factors like smoking.
  • Causal links between lung function and cardiovascular disease (CVD) require robust investigation.

Purpose of the Study:

  • To determine if impaired lung function causally increases the risk of cardiovascular disease.
  • To differentiate the causal roles of specific lung function measures (FVC, FEV1) in CVD.
  • To address potential biases in previous observational findings.

Main Methods:

  • Employed Mendelian randomization (MR) using genetic variants as instrumental variables.
  • Utilized two-sample MR in preliminary analysis.
  • Applied multivariable MR in the main analysis, conditioning for height, BMI, and smoking to avoid collider bias.

Main Results:

  • Strong evidence indicates reduced forced vital capacity (FVC) causally increases coronary artery disease risk (OR 1.32).
  • Reduced forced expiratory volume in 1s (FEV1) shows no significant causal association with CAD after adjusting for covariates.
  • Weak evidence suggests reduced lung function may increase ischemic stroke risk.

Conclusions:

  • Reduced FVC is independently and causally linked to coronary artery disease.
  • FVC may be a valuable marker for cardiovascular risk assessment and a potential therapeutic target.
  • FEV1 and airflow obstruction do not appear to causally increase CVD events; prior associations may be due to confounding or collider bias.