Understanding Disease Susceptibility through Population Genomics
- Authors
- 한성균; 김상수; 이준남
- Issue Date
- Dec-2012
- Publisher
- 한국유전체학회
- Keywords
- cis-acting; co-expression network; disease susceptibility; expression quantitative trait loci; trans-acting
- Citation
- Genomics & Informatics, v.10, no.4, pp.234 - 238
- Journal Title
- Genomics & Informatics
- Volume
- 10
- Number
- 4
- Start Page
- 234
- End Page
- 238
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/13009
- DOI
- 10.5808/GI.2012.10.4.234
- ISSN
- 1598-866X
- 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.
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