PGMRA: a web server for (phenotype x genotype) many-to-many relation analysis in GWAS.

ABSTRACT: It has been proposed that single nucleotide polymorphisms (SNPs) discovered by genome-wide association studies (GWAS) account for only a small fraction of the genetic variation of complex traits in human population. The remaining unexplained variance or missing heritability is thought to be due to marginal effects of many loci with small effects and has eluded attempts to identify its sources. Combination of different studies appears to resolve in part this problem. However, neither individual GWAS nor meta-analytic combinations thereof are helpful for disclosing which genetic variants contribute to explain a particular phenotype. Here, we propose that most of the missing heritability is latent in the GWAS data, which conceals intermediate phenotypes. To uncover such latent information, we

SUBMITTER: Arnedo J 

PROVIDER: S-EPMC3692099 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature