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Quantifying genetic effects on disease mediated by assayed gene expression levels

Authors :
Douglas Yao
Alexander Gusev
Luke J. O’Connor
Alkes L. Price
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.

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