GWAS quality score for evaluating associated regions in GWAS analyses.

ABSTRACT:

Motivation

The number of significantly associated regions reported in genome-wide association studies (GWAS) for polygenic traits typically increases with sample size. A traditional tool for quality control and identification of significant regions has been a visual inspection of how significant and correlated genetic variants cluster within a region. However, while inspecting hundreds of regions, this subjective method can misattribute significance to some loci or neglect others that are significant.

Results

The GWAS quality score (GQS) identifies suspicious regions and prevents erroneous interpretations with an objective, quantitative and automated method. The GQS assesses all measured single nucleotide polymorphisms (SNPs) that are linked by inheritance to each other [lin

SUBMITTER: Awasthi S 

PROVIDER: S-EPMC9891241 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature