Literature DB >> 30850848

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

Chong Wu1, Wei Pan2.   

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.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2019        PMID: 30850848      PMCID: PMC6761938          DOI: 10.1093/bioinformatics/btz161

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  56 in total

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Journal:  Nat Genet       Date:  2013-08-25       Impact factor: 38.330

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