A comprehensive comparison of multilocus association methods with summary statistics in genome-wide association studies.

ABSTRACT:

Background

Multilocus analysis on a set of single nucleotide polymorphisms (SNPs) pre-assigned within a gene constitutes a valuable complement to single-marker analysis by aggregating data on complex traits in a biologically meaningful way. However, despite the existence of a wide variety of SNP-set methods, few comprehensive comparison studies have been previously performed to evaluate the effectiveness of these methods.

Results

We herein sought to fill this knowledge gap by conducting a comprehensive empirical comparison for 22 commonly-used summary-statistics based SNP-set methods. We showed that only seven methods could effectively control the type I error, and that these well-calibrated approaches had varying power performance under the simulation scenarios. Overall, we

SUBMITTER: Shao Z 

PROVIDER: S-EPMC9429742 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature