Second-order group knockoffs with applications to genome-wide association studies.

ABSTRACT:

Motivation

Conditional testing via the knockoff framework allows one to identify-among a large number of possible explanatory variables-those that carry unique information about an outcome of interest and also provides a false discovery rate guarantee on the selection. This approach is particularly well suited to the analysis of genome-wide association studies (GWAS), which have the goal of identifying genetic variants that influence traits of medical relevance.

Results

While conditional testing can be both more powerful and precise than traditional GWAS analysis methods, its vanilla implementation encounters a difficulty common to all multivariate analysis methods: it is challenging to distinguish among multiple, highly correlated regressors. This impasse can be overcome by

SUBMITTER: Chu BB 

PROVIDER: S-EPMC11639161 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature