PLoS ONE (Jan 2008)

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

  • Susana Campino,
  • Julian Forton,
  • Srilakshmi Raj,
  • Bert Mohr,
  • Sarah Auburn,
  • Andrew Fry,
  • Valentina D Mangano,
  • Claire Vandiedonck,
  • Anna Richardson,
  • Kirk Rockett,
  • Taane G Clark,
  • Dominic P Kwiatkowski

DOI
https://doi.org/10.1371/journal.pone.0004105
Journal volume & issue
Vol. 3, no. 12
p. e4105

Abstract

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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.