Multi-locus test conditional on confirmed effects leads to increased power in genome-wide association studies.

ABSTRACT: Complex diseases or phenotypes may involve multiple genetic variants and interactions between genetic, environmental and other factors. Current genome-wide association studies (GWAS) mostly used single-locus analysis and had identified genetic effects with multiple confirmations. Such confirmed single-nucleotide polymorphism (SNP) effects were likely to be true genetic effects and ignoring this information in testing new effects of the same phenotype results in decreased statistical power due to increased residual variance that has a component of the omitted effects. In this study, a multi-locus association test (MLT) was proposed for GWAS analysis conditional on SNPs with confirmed effects to improve statistical power. Analytical formulae for statistical power were derived and were verifi

SUBMITTER: Ma L 

PROVIDER: S-EPMC2982824 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature