Understanding Disease Susceptibility through Population Genomics.
- Author:
Seonggyun HAN
1
;
Junnam LEE
;
Sangsoo KIM
Author Information
- Publication Type:Review
- Keywords: cis-acting; co-expression network; disease susceptibility; expression quantitative trait loci; trans-acting
- MeSH: Cell Line; Disease Susceptibility; DNA; Gene Expression Regulation; Metagenomics; Molecular Epidemiology; Phenotype; Quantitative Trait Loci; Transcriptome
- From:Genomics & Informatics 2012;10(4):234-238
- CountryRepublic of Korea
- Language:English
- 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.
