Understanding Disease Susceptibility through Population Genomics

Genomics & Informatics

Seonggyun Han¹  Junnam Lee¹  Sangsoo Kim¹ 

[1] School of Systems Biomedical Science, Soongsil University, Seoul 156-743, Korea.;

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

DOI  :  10.5808/GI.2012.10.4.234

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown