An empirical investigation into the impact of winner's curse on estimates from Mendelian randomization.

ABSTRACT:

Introduction

Genetic associations for variants identified through genome-wide association studies (GWASs) tend to be overestimated in the original discovery data set as, if the association was underestimated, the variant may not have been detected. This bias, known as winner's curse, can affect Mendelian randomization estimates, but its severity and potential impact are unclear.

Methods

We performed an empirical investigation to assess the potential bias from winner's curse in practice. We considered Mendelian randomization estimates for the effect of body mass index (BMI) on coronary artery disease risk. We randomly divided a UK Biobank data set 100 times into three equally sized subsets. The first subset was treated as the 'discovery GWAS'. We compared genetic associations

SUBMITTER: Jiang T 

PROVIDER: S-EPMC10396423 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature