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Dataset Information

Identification of Genes Whose Expression Profile Is Associated with Non-Progression towards AIDS Using eQTLs.


ABSTRACT:

Background

Many genome-wide association studies have been performed on progression towards the acquired immune deficiency syndrome (AIDS) and they mainly identified associations within the HLA loci. In this study, we demonstrate that the integration of biological information, namely gene expression data, can enhance the sensitivity of genetic studies to unravel new genetic associations relevant to AIDS.

Methods

We collated the biological information compiled from three databases of expression quantitative trait loci (eQTLs) involved in cells of the immune system. We derived a list of single nucleotide polymorphisms (SNPs) that are functional in that they correlate with differential expression of genes in at least two of the databases. We tested the association of those SNPs

SUBMITTER: Spadoni JL 

PROVIDER: S-EPMC4569262 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature