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Updated: Jun 20, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
The impact of structural variation on human gene expression
Colby Chiang1, Alexandra J Scott1, Joe R Davis2,3
1McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, USA.
Structural variants (SVs) significantly impact gene expression, acting as causal factors in a higher percentage of expression quantitative trait loci (eQTLs) than previously thought. These variants, particularly rare ones, offer new insights into genetic diversity and disease association studies.
Area of Science:
- Human genetics
- Genomics
- Molecular biology
Background:
- Structural variants (SVs) contribute to human genetic diversity.
- The role of SVs in traits, disease, and gene regulation requires further elucidation.
Purpose of the Study:
- To investigate the contribution of SVs to gene expression regulation.
- To compare the impact of SVs with single-nucleotide variants (SNVs) and indels on expression quantitative trait loci (eQTLs).
Main Methods:
- Joint analysis of SVs, SNVs, and indels from whole-genome sequencing (WGS) data.
- Mapping of cis-acting eQTLs across 13 human tissues.
- Identification of putative causal SVs affecting gene expression.
Main Results:
- SVs were estimated to be causal in 3.5-6.8% of eQTLs, a higher fraction than previously reported.
- Expression-altering SVs demonstrated larger effect sizes compared to SNVs and indels.
- Identified 789 causal SVs, predominantly noncoding and enriched in regulatory elements; 52 linked to GWAS loci.
- Observed a high prevalence of rare, high-impact SVs associated with altered gene expression.
Conclusions:
- Comprehensive SV analysis using WGS enhances the power of genetic association studies for both common and rare variants.
- SVs play a more significant role in gene regulation and human traits than previously appreciated.
- The findings highlight the importance of integrating SVs into genomic analyses for a deeper understanding of genetic diversity and disease.
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