Quantifying genetic effects on disease mediated by assayed gene expression levels.

Nat Genet
Authors
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.

Year of Publication
2020
Journal
Nat Genet
Date Published
2020 May 18
ISSN
1546-1718
DOI
10.1038/s41588-020-0625-2
PubMed ID
32424349
Links
Grant list
R01 HG006399 / HG / NHGRI NIH HHS / United States
R01 MH107649 / MH / NIMH NIH HHS / United States
R01 CA227237 / CA / NCI NIH HHS / United States
T32 HG002295 / HG / NHGRI NIH HHS / United States
R01 MH115676 / MH / NIMH NIH HHS / United States
U01 HG009379 / HG / NHGRI NIH HHS / United States
R01 MH101244 / MH / NIMH NIH HHS / United States