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

Chong Wu, Wei Pan

Research output: Contribution to journalArticle

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)3576-3583
Number of pages8
JournalBioinformatics
Volume35
Issue number19
DOIs
StatePublished - Oct 1 2019

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