Review and further developments in statistical corrections for Winner's Curse in genetic association studies.

ABSTRACT: Genome-wide association studies (GWAS) are commonly used to identify genomic variants that are associated with complex traits, and estimate the magnitude of this association for each variant. However, it has been widely observed that the association estimates of variants tend to be lower in a replication study than in the study that discovered those associations. A phenomenon known as Winner's Curse is responsible for this upward bias present in association estimates of significant variants in the discovery study. We review existing Winner's Curse correction methods which require only GWAS summary statistics in order to make adjustments. In addition, we propose modifications to improve existing methods and propose a novel approach which uses the parametric bootstrap. We evaluate and compar

SUBMITTER: Forde A 

PROVIDER: S-EPMC10538662 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature