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

Bioinformatics. 2019 Oct 1;35(19):3576-3583. doi: 10.1093/bioinformatics/btz161.

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Genome-Wide Association Study*
  • Humans
  • Methylation
  • Polymorphism, Single Nucleotide
  • Quantitative Trait Loci
  • Schizophrenia*