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Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain
Genome-wide association studies have nominated many genetic variants for common human traits, including diseases, but in many cases the underlying biological reason for a trait association is unknown. Subsets of genetic polymorphisms show a statistical association with transcript expression levels,...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358430/ https://www.ncbi.nlm.nih.gov/pubmed/22433082 http://dx.doi.org/10.1016/j.nbd.2012.03.020 |
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author | Hernandez, Dena G. Nalls, Mike A. Moore, Matthew Chong, Sean Dillman, Allissa Trabzuni, Daniah Gibbs, J. Raphael Ryten, Mina Arepalli, Sampath Weale, Michael E. Zonderman, Alan B. Troncoso, Juan O'Brien, Richard Walker, Robert Smith, Colin Bandinelli, Stefania Traynor, Bryan J. Hardy, John Singleton, Andrew B. Cookson, Mark R. |
author_facet | Hernandez, Dena G. Nalls, Mike A. Moore, Matthew Chong, Sean Dillman, Allissa Trabzuni, Daniah Gibbs, J. Raphael Ryten, Mina Arepalli, Sampath Weale, Michael E. Zonderman, Alan B. Troncoso, Juan O'Brien, Richard Walker, Robert Smith, Colin Bandinelli, Stefania Traynor, Bryan J. Hardy, John Singleton, Andrew B. Cookson, Mark R. |
author_sort | Hernandez, Dena G. |
collection | PubMed |
description | Genome-wide association studies have nominated many genetic variants for common human traits, including diseases, but in many cases the underlying biological reason for a trait association is unknown. Subsets of genetic polymorphisms show a statistical association with transcript expression levels, and have therefore been nominated as expression quantitative trait loci (eQTL). However, many tissue and cell types have specific gene expression patterns and so it is not clear how frequently eQTLs found in one tissue type will be replicated in others. In the present study we used two appropriately powered sample series to examine the genetic control of gene expression in blood and brain. We find that while many eQTLs associated with human traits are shared between these two tissues, there are also examples where blood and brain differ, either by restricted gene expression patterns in one tissue or because of differences in how genetic variants are associated with transcript levels. These observations suggest that design of eQTL mapping experiments should consider tissue of interest for the disease or other traits studied. |
format | Online Article Text |
id | pubmed-3358430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33584302013-07-01 Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain Hernandez, Dena G. Nalls, Mike A. Moore, Matthew Chong, Sean Dillman, Allissa Trabzuni, Daniah Gibbs, J. Raphael Ryten, Mina Arepalli, Sampath Weale, Michael E. Zonderman, Alan B. Troncoso, Juan O'Brien, Richard Walker, Robert Smith, Colin Bandinelli, Stefania Traynor, Bryan J. Hardy, John Singleton, Andrew B. Cookson, Mark R. Neurobiol Dis Article Genome-wide association studies have nominated many genetic variants for common human traits, including diseases, but in many cases the underlying biological reason for a trait association is unknown. Subsets of genetic polymorphisms show a statistical association with transcript expression levels, and have therefore been nominated as expression quantitative trait loci (eQTL). However, many tissue and cell types have specific gene expression patterns and so it is not clear how frequently eQTLs found in one tissue type will be replicated in others. In the present study we used two appropriately powered sample series to examine the genetic control of gene expression in blood and brain. We find that while many eQTLs associated with human traits are shared between these two tissues, there are also examples where blood and brain differ, either by restricted gene expression patterns in one tissue or because of differences in how genetic variants are associated with transcript levels. These observations suggest that design of eQTL mapping experiments should consider tissue of interest for the disease or other traits studied. Academic Press 2012-07 /pmc/articles/PMC3358430/ /pubmed/22433082 http://dx.doi.org/10.1016/j.nbd.2012.03.020 Text en https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Article Hernandez, Dena G. Nalls, Mike A. Moore, Matthew Chong, Sean Dillman, Allissa Trabzuni, Daniah Gibbs, J. Raphael Ryten, Mina Arepalli, Sampath Weale, Michael E. Zonderman, Alan B. Troncoso, Juan O'Brien, Richard Walker, Robert Smith, Colin Bandinelli, Stefania Traynor, Bryan J. Hardy, John Singleton, Andrew B. Cookson, Mark R. Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain |
title | Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain |
title_full | Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain |
title_fullStr | Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain |
title_full_unstemmed | Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain |
title_short | Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain |
title_sort | integration of gwas snps and tissue specific expression profiling reveal discrete eqtls for human traits in blood and brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358430/ https://www.ncbi.nlm.nih.gov/pubmed/22433082 http://dx.doi.org/10.1016/j.nbd.2012.03.020 |
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