Mendelian Randomization Analysis of Hemoglobin A_1c as a Risk Factor for Coronary Artery Disease.

ABSTRACT:

Objective

Observational studies show that higher hemoglobin A_1c (A1C) predicts coronary artery disease (CAD). It remains unclear whether this association is driven entirely by glycemia. We used Mendelian randomization (MR) to test whether A1C is causally associated with CAD through glycemic and/or nonglycemic factors.

Research design and methods

To examine the association of A1C with CAD, we selected 50 A1C-associated variants (log₁₀ Bayes factor ≥6) from an A1C genome-wide association study (GWAS; n = 159,940) and performed an inverse-variance weighted average of variant-specific causal estimates from CAD GWAS data (CARDIoGRAMplusC4D; 60,801 CAD case subjects/123,504 control subjects). We then replicated results in UK Biobank (18,915 CAD case su

SUBMITTER: Leong A 

PROVIDER: S-EPMC6609962 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature