Understanding Disease Susceptibility through Population Genomics

초록

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.

키워드

cis-acting; co-expression network; disease susceptibility; expression quantitative trait loci; trans-acting
제목
Understanding Disease Susceptibility through Population Genomics
저자
한성균; 김상수; 이준남
DOI
10.5808/GI.2012.10.4.234
발행일
2012-12
저널명
Genomics & Informatics
권
10
호
4
페이지
234 ~ 238