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Genotypic variability-based genome-wide association study identifies non-additive loci HLA-C and IL12B for psoriasis

Wen-Hua Wei,J. Massey,2 Authors,R. Warren

2017 · DOI: 10.1038/s10038-017-0350-6
Journal of Human Genetics · 11 Citations

TLDR

A genotypic variability-based GWAS that can prioritize non-additive loci without requiring prior knowledge of interaction types or interacting factors in two steps is reported, using a mixed model to partition dichotomous phenotypes into an additive component and non- additive environmental residuals on the liability scale.

Abstract

Genome-wide association studies (GWASs) have identified a number of loci for psoriasis but largely ignored non-additive effects. We report a genotypic variability-based GWAS (vGWAS) that can prioritize non-additive loci without requiring prior knowledge of interaction types or interacting factors in two steps, using a mixed model to partition dichotomous phenotypes into an additive component and non-additive environmental residuals on the liability scale and then the Levene’s (Brown–Forsythe) test to assess equality of the residual variances across genotype groups genome widely. The vGWAS identified two genome-wide significant (P < 5.0e−08) non-additive loci HLA-C and IL12B that were also genome-wide significant in an accompanying GWAS in the discovery cohort. Both loci were statistically replicated in vGWAS of an independent cohort with a small sample size. HLA-C and IL12B were reported in moderate gene–gene and/or gene–environment interactions in several occasions. We found a moderate interaction with age-of-onset of psoriasis, which was replicated indirectly. The vGWAS also revealed five suggestive loci (P < 6.76e−05) including FUT2 that was associated with psoriasis with environmental aspects triggered by virus infection and/or metabolic factors. Replication and functional investigation are needed to validate the suggestive vGWAS loci.