Multivariable MR Can Mitigate Bias in Two-Sample MR Using Covariable-Adjusted Summary Associations.

Abstract excerpt

Genome-wide association studies (GWAS) are hypothesis-free studies that estimate the association between polymorphisms across the genome with a trait of interest. To increase power and to estimate the direct effects of these single-nucleotide polymorphisms (SNPs) on a trait GWAS are often conditioned on a covariate (such as body mass index or smoking status). This adjustment can introduce bias in the estimated...

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