JEPEG: a summary statistics based tool for gene-level joint testing of functional variants.

ABSTRACT:

Motivation

Gene expression is influenced by variants commonly known as expression quantitative trait loci (eQTL). On the basis of this fact, researchers proposed to use eQTL/functional information univariately for prioritizing single nucleotide polymorphisms (SNPs) signals from genome-wide association studies (GWAS). However, most genes are influenced by multiple eQTLs which, thus, jointly affect any downstream phenotype. Therefore, when compared with the univariate prioritization approach, a joint modeling of eQTL action on phenotypes has the potential to substantially increase signal detection power. Nonetheless, a joint eQTL analysis is impeded by (i) not measuring all eQTLs in a gene and/or (ii) lack of access to individual genotypes.

Results

We propose joint effect on p

SUBMITTER: Lee D 

PROVIDER: S-EPMC4393522 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature