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Understanding Disease Susceptibility through Population Genomics
Genomics & Informatics ; : 234-238, 2012.
Article en En | WPRIM | ID: wpr-11759
Biblioteca responsable: WPRO
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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Texto completo: 1 Índice: WPRIM Asunto principal: Fenotipo / ADN / Línea Celular / Regulación de la Expresión Génica / Epidemiología Molecular / Sitios de Carácter Cuantitativo / Susceptibilidad a Enfermedades / Metagenómica / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Genomics & Informatics Año: 2012 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Asunto principal: Fenotipo / ADN / Línea Celular / Regulación de la Expresión Génica / Epidemiología Molecular / Sitios de Carácter Cuantitativo / Susceptibilidad a Enfermedades / Metagenómica / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Genomics & Informatics Año: 2012 Tipo del documento: Article