Understanding Disease Susceptibility through Population Genomics

Genomics Inform. 2012 Dec;10(4):234-8. doi: 10.5808/GI.2012.10.4.234. Epub 2012 Dec 31.

Abstract

Genetic epidemiology studies have established that the natural variation of gene expression profiles is heritable and has genetic bases. A number of proximal and remote DNA variations, known as expression quantitative trait loci (eQTLs), that are associated with the expression phenotypes have been identified, first in Epstein-Barr virus-transformed lymphoblastoid cell lines and later expanded to other cell and tissue types. Integration of the eQTL information and the network analysis of transcription modules may lead to a better understanding of gene expression regulation. As these network modules have relevance to biological or disease pathways, these findings may be useful in predicting disease susceptibility.

Keywords: cis-acting; co-expression network; disease susceptibility; expression quantitative trait loci; trans-acting.