The power of regional heritability analysis for rare and common variant detection: simulations and application to eye biometrical traits.

ABSTRACT: Genome-wide association studies (GWAS) have provided valuable insights into the genetic basis of complex traits. However, they have explained relatively little trait heritability. Recently, we proposed a new analytical approach called regional heritability mapping (RHM) that captures more of the missing genetic variation. This method is applicable both to related and unrelated populations. Here, we demonstrate the power of RHM in comparison with single-SNP GWAS and gene-based association approaches under a wide range of scenarios with variable numbers of quantitative trait loci (QTL) with common and rare causal variants in a narrow genomic region. Simulations based on real genotype data were performed to assess power to capture QTL variance, and we demonstrate that RHM has greater power to

SUBMITTER: Uemoto Y 

PROVIDER: S-EPMC3832942 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature