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...
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| Format: | Article |
| Language: | English |
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BioMed Central
2012-12-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gni-10-234.pdf |
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| _version_ | 1832573029545148416 |
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| author | Seonggyun Han Junnam Lee Sangsoo Kim |
| author_facet | Seonggyun Han Junnam Lee Sangsoo Kim |
| author_sort | Seonggyun Han |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-aeba1a1e8c364d66b6e8e6eb6aa9a6af |
| institution | Kabale University |
| issn | 1598-866X 2234-0742 |
| language | English |
| publishDate | 2012-12-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-aeba1a1e8c364d66b6e8e6eb6aa9a6af2025-02-02T05:53:20ZengBioMed CentralGenomics & Informatics1598-866X2234-07422012-12-0110423423810.5808/GI.2012.10.4.23421Understanding Disease Susceptibility through Population GenomicsSeonggyun Han0Junnam Lee1Sangsoo Kim2School of Systems Biomedical Science, Soongsil University, Seoul 156-743, Korea.School of Systems Biomedical Science, Soongsil University, Seoul 156-743, Korea.School of Systems Biomedical Science, Soongsil University, Seoul 156-743, Korea.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.http://genominfo.org/upload/pdf/gni-10-234.pdfcis-actingco-expression networkdisease susceptibilityexpression quantitative trait locitrans-acting |
| spellingShingle | Seonggyun Han Junnam Lee Sangsoo Kim Understanding Disease Susceptibility through Population Genomics Genomics & Informatics cis-acting co-expression network disease susceptibility expression quantitative trait loci trans-acting |
| 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 | cis-acting co-expression network disease susceptibility expression quantitative trait loci trans-acting |
| url | http://genominfo.org/upload/pdf/gni-10-234.pdf |
| work_keys_str_mv | AT seonggyunhan understandingdiseasesusceptibilitythroughpopulationgenomics AT junnamlee understandingdiseasesusceptibilitythroughpopulationgenomics AT sangsookim understandingdiseasesusceptibilitythroughpopulationgenomics |