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Integration of methylation QTL and enhancer-target gene maps with schizophrenia GWAS summary results identifies novel genes.

ABSTRACT: MOTIVATION:Most trait-associated genetic variants identified in genome-wide association studies (GWASs) are located in non-coding regions of the genome and thought to act through their regulatory roles. RESULTS:To account for enriched association signals in DNA regulatory elements, we propose a novel and general gene-based association testing strategy that integrates enhancer-target gene pairs and methylation quantitative trait locus data with GWAS summary results; it aims to both boost statistical power for new discoveries and enhance mechanistic interpretability of any new discovery. By reanalyzing two large-scale schizophrenia GWAS summary datasets, we demonstrate that the proposed method could identify some significant and novel genes (containing no genome-wide significant SNPs nearby) that would have been missed by other competing approaches, including the standard and some integrative gene-based association methods, such as one incorporating enhancer-target gene pairs and one integrating expression quantitative trait loci. AVAILABILITY AND IMPLEMENTATION:Software: wuchong.org/egmethyl.html. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

SUBMITTER: Wu C

PROVIDER: S-EPMC6761938 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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