Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data.

ABSTRACT: Over the last decade the availability of SNP-trait associations from genome-wide association studies has led to an array of methods for performing Mendelian randomization studies using only summary statistics. A common feature of these methods, besides their intuitive simplicity, is the ability to combine data from several sources, incorporate multiple variants and account for biases due to weak instruments and pleiotropy. With the advent of large and accessible fully-genotyped cohorts such as UK Biobank, there is now increasing interest in understanding how best to apply these well developed summary data methods to individual level data, and to explore the use of more sophisticated causal methods allowing for non-linearity and effect modification. In this paper we describe a general proce

SUBMITTER: Barry C 

PROVIDER: S-EPMC8376220 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature