Genomics Inform.  2012 Dec;10(4):234-238. 10.5808/GI.2012.10.4.234.

Understanding Disease Susceptibility through Population Genomics

• Han S
• Lee J
• Kim S

• KMID: 2053302
• DOI: http://doi.org/10.5808/GI.2012.10.4.234

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.

Keyword

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

MeSH Terms

Cell Line
Disease Susceptibility
DNA
Gene Expression Regulation
Metagenomics
Molecular Epidemiology
Phenotype
Quantitative Trait Loci
Transcriptome
DNA