4.7 Article

An allelic-series rare-variant association test for candidate-gene discovery

Journal

AMERICAN JOURNAL OF HUMAN GENETICS
Volume 110, Issue 8, Pages 1330-1342

Publisher

CELL PRESS
DOI: 10.1016/j.ajhg.2023.07.001

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Allelic series, characterized by increasing deleterious mutations and larger phenotypic effects, are of interest for potential therapeutic applications. The Coding-Variant Allelic-Series Test (COAST) is a gene-based rare-variant association test designed to identify genes with allelic series. COAST outperformed traditional association tests in identifying gene-trait associations for circulating-lipid and cell-count traits, and also detected associations not found in the full cohort but supported by rare-variant or common-variant evidence.
Allelic series are of candidate therapeutic interest because of the existence of a dose-response relationship between the functionality of a gene and the degree or severity of a phenotype. We define an allelic series as a collection of variants in which increasingly deleterious mutations lead to increasingly large phenotypic effects, and we have developed a gene-based rare-variant association test specifically targeted to identifying genes containing allelic series. Building on the well-known burden test and sequence kernel association test (SKAT), we specify a variety of association models covering different genetic architectures and integrate these into a Coding-Variant Allelic-Series Test (COAST). Through extensive simulations, we confirm that COAST maintains the type I error and improves the power when the pattern of coding-variant effect sizes increases monotonically with mutational severity. We applied COAST to identify allelic -series genes for four circulating-lipid traits and five cell-count traits among 145,735 subjects with available whole-exome sequencing data from the UK Biobank. Compared with optimal SKAT (SKAT-O), COAST identified 29% more Bonferroni-significant associations with circulating-lipid traits, on average, and 82% more with cell-count traits. All of the gene-trait associations identified by COAST have corroborating evidence either from rare-variant associations in the full cohort (Genebass, n 1/4 400,000) or from common-variant associations in the GWAS Catalog. In addition to detecting many gene-trait associations present in Genebass by using only a fraction (36.9%) of the sample, COAST detects associations, such as that between ANGPTL4 and triglycerides, that are absent from Genebass but that have clear common-variant support.

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