Validating discovered Cis-acting regulatory genetic variants: application of an allele specific expression approach to HapMap populations

BACKGROUND: Localising regulatory variants that control gene expression is a challenge for genome research. Several studies have recently identified non-coding polymorphisms associated with inter-individual differences in gene expression. These approaches rely on the identification of signals of ass...

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Bibliographic Details
Main Authors: Campino, S, Forton, J, Raj, S, Mohr, B, Auburn, S, Fry, A, Mangano, V, Vandiedonck, C, Richardson, A, Rockett, K, Clark, T, Kwiatkowski, D
Format: Journal article
Language:English
Published: Public Library of Science 2008
Description
Summary:BACKGROUND: Localising regulatory variants that control gene expression is a challenge for genome research. Several studies have recently identified non-coding polymorphisms associated with inter-individual differences in gene expression. These approaches rely on the identification of signals of association against a background of variation due to other genetic and environmental factors. A complementary approach is to use an Allele-Specific Expression (ASE) assay, which is more robust to the effects of environmental variation and trans-acting genetic factors. METHODOLOGY/PRINCIPAL FINDINGS: Here we apply an ASE method which utilises heterozygosity within an individual to compare expression of the two alleles of a gene in a single cell. We used individuals from three HapMap population groups and analysed the allelic expression of genes with cis-regulatory regions previously identified using total gene expression studies. We were able to replicate the results in five of the six genes tested, and refined the cis- associated regions to a small number of variants. We also showed that by using multi-populations it is possible to refine the associated cis-effect DNA regions. CONCLUSIONS/SIGNIFICANCE: We discuss the efficacy and drawbacks of both total gene expression and ASE approaches in the discovery of cis-acting variants. We show that the ASE approach has significant advantages as it is a cleaner representation of cis-acting effects. We also discuss the implication of using different populations to map cis-acting regions and the importance of finding regulatory variants which contribute to human phenotypic variation.