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KMID : 1132720120100040234
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Genomics & Informatics
2012 Volume.10 No. 4 p.234 ~ p.238
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Understanding Disease Susceptibility through Population Genomics
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Han Seong-Gyun
Lee Jun-Nam
Kim Sang-Soo
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Abstract
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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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KEYWORD
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cis-acting, co-expression network, disease susceptibility, expression quantitative trait loci, trans-acting
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