Integrative genomics: quantifying significance of phenotype-genotype relationships from multiple sources of high-throughput data.

ABSTRACT: Given recent advances in the generation of high-throughput data such as whole-genome genetic variation and transcriptome expression, it is critical to come up with novel methods to integrate these heterogeneous datasets and to assess the significance of identified phenotype-genotype relationships. Recent studies show that genome-wide association findings are likely to fall in loci with gene regulatory effects such as expression quantitative trait loci (eQTLs), demonstrating the utility of such integrative approaches. When genotype and gene expression data are available on the same individuals, we and others developed methods wherein top phenotype-associated genetic variants are prioritized if they are associated, as eQTLs, with gene expression traits that are themselves associated with the

SUBMITTER: Gamazon ER 

PROVIDER: S-EPMC3668276 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature