Understanding Disease Susceptibility through Population Genomics.

Genomics Inform 2012 Dec 31;10(4):234-8. Epub 2012 Dec 31.

School of Systems Biomedical Science, Soongsil University, Seoul 156-743, Korea.

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.

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http://dx.doi.org/10.5808/GI.2012.10.4.234DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543923PMC
December 2012
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