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Quantifying genetic effects on disease mediated by assayed gene expression levels
- Source :
- Nature genetics
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Disease variants identified by genome-wide association studies (GWAS) tend to overlap with expression quantitative trait loci (eQTLs), but it remains unclear whether this overlap is driven by gene expression levels ‘mediating’ genetic effects on disease. Here, we introduce a new method, mediated expression score regression (MESC), to estimate disease heritability mediated by the cis genetic component of gene expression levels. We applied MESC to GWAS summary statistics for 42 traits (average N = 323,000) and cis-eQTL summary statistics for 48 tissues from the Genotype-Tissue Expression (GTEx) consortium. Averaging across traits, only 11 ± 2% of heritability was mediated by assayed gene expression levels. Expression-mediated heritability was enriched in genes with evidence of selective constraint and genes with disease-appropriate annotations. Our results demonstrate that assayed bulk tissue eQTLs, although disease relevant, cannot explain the majority of disease heritability. Mediated expression score regression (MESC) is a new method that estimates disease heritability mediated by the cis genetic component of gene expression levels by using summary statistics from GWAS and eQTL studies.
- Subjects :
- Linkage disequilibrium
Quantitative Trait Loci
Gene Expression
Genome-wide association study
Biology
Quantitative trait locus
Polymorphism, Single Nucleotide
Linkage Disequilibrium
Article
03 medical and health sciences
0302 clinical medicine
Gene expression
Genetics
Humans
Genetic Predisposition to Disease
Gene
030304 developmental biology
Genetic association
0303 health sciences
Heritability
Calibration
Expression quantitative trait loci
Regression Analysis
030217 neurology & neurosurgery
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 15461718 and 10614036
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- Nature Genetics
- Accession number :
- edsair.doi.dedup.....99a7e6e0be44ea09c8a76cba4f5cdbe1
- Full Text :
- https://doi.org/10.1038/s41588-020-0625-2