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

PLoS One. 2008;3(12):e4105. doi: 10.1371/journal.pone.0004105. Epub 2008 Dec 31.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Alleles*
  • Chromosome Mapping / methods*
  • Gene Expression Regulation*
  • Genetic Variation*
  • Genome, Human
  • Genomics
  • Haplotypes
  • Humans
  • Polymorphism, Single Nucleotide
  • Regulatory Sequences, Nucleic Acid*