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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.
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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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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