Journal
NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41467-021-26761-3
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Funding
- Transatlantic Networks of Excellence Program from Fondation Leducq [10CVD03]
- EMBL EIPOD programme
- EMBL PhD programme
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Studying the contribution of pairs of genes to complex traits has been challenging. Here, the authors combine exome and genotype data with RNAi to screen for genetic interactions between 30 genes identified in lipid GWAS to hint at pairs whose joint modulation may improve lipid-lowering therapies.
Complex traits are characterized by multiple genes and variants acting simultaneously on a phenotype. However, studying the contribution of individual pairs of genes to complex traits has been challenging since human genetics necessitates very large population sizes, while findings from model systems do not always translate to humans. Here, we combine genetics with combinatorial RNAi (coRNAi) to systematically test for pairwise additive effects (AEs) and genetic interactions (GIs) between 30 lipid genome-wide association studies (GWAS) genes. Gene-based burden tests from 240,970 exomes show that in carriers with truncating mutations in both, APOB and either PCSK9 or LPL (human double knock-outs) plasma lipid levels change additively. Genetics and coRNAi identify overlapping AEs for 12 additional gene pairs. Overlapping GIs are observed for TOMM40/APOE with SORT1 and NCAN. Our study identifies distinct gene pairs that modulate plasma and cellular lipid levels primarily via AEs and nominates putative drug target pairs for improved lipid-lowering combination therapies. Studying the contribution of pairs of genes to complex traits has been challenging. Here, the authors combine exome and genotype data with RNAi to screen for genetic interactions between 30 genes identified in lipid GWAS to hint at pairs whose joint modulation may improve lipid-lowering therapies.
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