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Updated: Jul 8, 2026
11:19
Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets
Published on: July 7, 2010
Genome-wide analysis of transcript isoform variation in humans
Tony Kwan1, David Benovoy, Christel Dias
1Department of Human Genetics, McGill University, 740 Dr. Penfield, Room 7210, Montréal, Québec H3A 1A4, Canada.
Nature Genetics
|January 15, 2008
Summary
Genetic variations influence gene expression and transcript isoforms in humans. This complexity impacts natural phenotypic variation and disease susceptibility.
Area of Science:
- Genomics
- Transcriptomics
- Human genetics
Background:
- Genetic variations are known to influence human traits.
- Understanding how genetic variations affect gene expression is crucial for deciphering biological complexity.
Purpose of the Study:
- To conduct a genome-wide analysis of common genetic variations controlling differential expression of transcript isoforms.
- To investigate the impact of single nucleotide polymorphisms (SNPs) on transcript levels and isoform usage.
Main Methods:
- Genome-wide analysis using exon tiling microarrays.
- Analysis of the CEU HapMap population data.
- Association study between SNPs and transcript levels.
Main Results:
- Identified 324 genes with significant associations between flanking SNPs and transcript levels.
- Observed that 39% of associations affected whole gene expression.
- Found that 55% of associations involved transcript isoform changes, including splicing variants and differential UTR usage.
Conclusions:
- Genetic variation exerts complex regulatory effects on gene expression and transcript isoforms in humans.
- This molecular diversity contributes to natural phenotypic variation.
- These findings may explain differences in disease susceptibility within the population.
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