Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk

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作者
Kira A. Perzel Mandell
Nicholas J. Eagles
Richard Wilton
Amanda J. Price
Stephen A. Semick
Leonardo Collado-Torres
William S. Ulrich
Ran Tao
Shizhong Han
Alexander S. Szalay
Thomas M. Hyde
Joel E. Kleinman
Daniel R. Weinberger
Andrew E. Jaffe
机构
[1] Johns Hopkins Medical Campus,Lieber Institute for Brain Development
[2] Johns Hopkins University School of Medicine (JHSOM),Department of Genetic Medicine
[3] Johns Hopkins University,Department of Physics and Astronomy
[4] JHSOM,Department of Psychiatry and Behavioral Sciences
[5] JHSOM,Department of Computer Science
[6] JHSOM,Department of Neurology
[7] JHSOM,Department of Neuroscience
[8] Johns Hopkins Bloomberg School of Public Health (JHBSPH),Department of Mental Health
[9] JHBSPH,Department of Biostatistics
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摘要
DNA methylation (DNAm) is an epigenetic regulator of gene expression and a hallmark of gene-environment interaction. Using whole-genome bisulfite sequencing, we have surveyed DNAm in 344 samples of human postmortem brain tissue from neurotypical subjects and individuals with schizophrenia. We identify genetic influence on local methylation levels throughout the genome, both at CpG sites and CpH sites, with 86% of SNPs and 55% of CpGs being part of methylation quantitative trait loci (meQTLs). These associations can further be clustered into regions that are differentially methylated by a given SNP, highlighting the genes and regions with which these loci are epigenetically associated. These findings can be used to better characterize schizophrenia GWAS-identified variants as epigenetic risk variants. Regions differentially methylated by schizophrenia risk-SNPs explain much of the heritability associated with risk loci, despite covering only a fraction of the genomic space. We provide a comprehensive, single base resolution view of association between genetic variation and genomic methylation, and implicate schizophrenia GWAS-associated variants as influencing the epigenetic plasticity of the brain.
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