Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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Understanding Disease Susceptibility through Population Genomics

  • Han, Seonggyun (School of Systems Biomedical Science, Soongsil University) ;
  • Lee, Junnam (School of Systems Biomedical Science, Soongsil University) ;
  • Kim, Sangsoo (School of Systems Biomedical Science, Soongsil University)
  • Received : 2012.10.29
  • Accepted : 2012.11.14
  • Published : 2012.12.31
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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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References

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