Skip Navigation


Human Molecular Genetics Advance Access originally published online on August 11, 2009
Human Molecular Genetics 2009 18(22):4296-4303; doi:10.1093/hmg/ddp382
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Supplementary Data
Right arrow All Versions of this Article:
18/22/4296    most recent
ddp382v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Bullaughey, K.
Right arrow Articles by Gilad, Y.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bullaughey, K.
Right arrow Articles by Gilad, Y.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Expression quantitative trait loci detected in cell lines are often present in primary tissues

Kevin Bullaughey1, Claudia I. Chavarria2, Graham Coop3,{dagger},{ddagger} and Yoav Gilad2,*,{ddagger}

1 Department of Ecology and Evolution and 2 Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA and 3 Department of Evolution and Ecology, University of California, Davis, CA 95616, USA

* To whom correspondence should be addressed at: 920 E. 58th Street, CLSC 325C, Chicago, IL 60637, USA. Tel: +1 7737028507; Fax: +1 7738348470; Email: gilad{at}uchicago.edu

Received July 9, 2009; Accepted August 6, 2009

Expression quantitative trait loci (eQTL) mapping is a powerful tool for identifying genetic regulatory variation. However, at present, most eQTLs in humans were identified using gene expression data from cell lines, and it remains unknown whether these eQTLs also have a regulatory function in other expression contexts, such as human primary tissues. Here we investigate this question using a targeted strategy. Specifically, we selected a subset of large-effect eQTLs identified in the HapMap lymphoblastoid cell lines, and examined the association of these eQTLs with gene expression levels across individuals in five human primary tissues (heart, kidney, liver, lung and testes). We show that genotypes at the eQTLs we selected are often predictive of variation in gene expression levels in one or more of the five primary tissues. The genotype effects in the primary tissues are consistently in the same direction as the effects inferred in the cell lines. Additionally, a number of the eQTLs we tested are found in more than one of the tissues. Our results indicate that functional studies in cell lines may uncover a substantial amount of genetic variation that affects gene expression levels in human primary tissues.


{dagger} Previous address: Department of Human Genetics, University of Chicago, Chicago 60637, USA.

{dagger} Co-supervised this work.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.