Understanding Disease Susceptibility through Population Genomics
Genomics & Informatics
;
: 234-238, 2012.
Article
in English
| WPRIM
| ID: wpr-11759
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Phenotype
/
DNA
/
Cell Line
/
Gene Expression Regulation
/
Molecular Epidemiology
/
Quantitative Trait Loci
/
Disease Susceptibility
/
Metagenomics
/
Transcriptome
Type of study:
Prognostic study
Language:
English
Journal:
Genomics & Informatics
Year:
2012
Type:
Article
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