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Understanding Disease Susceptibility through Population Genomics
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 i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543923/ https://www.ncbi.nlm.nih.gov/pubmed/23346035 http://dx.doi.org/10.5808/GI.2012.10.4.234 |
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author | Han, Seonggyun Lee, Junnam Kim, Sangsoo |
author_facet | Han, Seonggyun Lee, Junnam Kim, Sangsoo |
author_sort | Han, Seonggyun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3543923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-35439232013-01-23 Understanding Disease Susceptibility through Population Genomics Han, Seonggyun Lee, Junnam Kim, Sangsoo Genomics Inform Review Article 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. Korea Genome Organization 2012-12 2012-12-31 /pmc/articles/PMC3543923/ /pubmed/23346035 http://dx.doi.org/10.5808/GI.2012.10.4.234 Text en Copyright © 2012 by The Korea Genome Organization http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/). |
spellingShingle | Review Article Han, Seonggyun Lee, Junnam Kim, Sangsoo Understanding Disease Susceptibility through Population Genomics |
title | Understanding Disease Susceptibility through Population Genomics |
title_full | Understanding Disease Susceptibility through Population Genomics |
title_fullStr | Understanding Disease Susceptibility through Population Genomics |
title_full_unstemmed | Understanding Disease Susceptibility through Population Genomics |
title_short | Understanding Disease Susceptibility through Population Genomics |
title_sort | understanding disease susceptibility through population genomics |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3543923/ https://www.ncbi.nlm.nih.gov/pubmed/23346035 http://dx.doi.org/10.5808/GI.2012.10.4.234 |
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