TY - JOUR
T1 - Widespread methylation quantitative trait loci and their role in schizophrenia risk
AU - Perzel Mandell, Kira A.
AU - Eagles, Nicholas J.
AU - Wilton, Richard
AU - Price, Amanda J.
AU - Semick, Stephen A.
AU - Collado-Torres, Leonardo
AU - Tao, Ran
AU - Han, Shizhong
AU - Szalay, Alexander S.
AU - Hyde, Thomas M.
AU - Kleinman, Joel E.
AU - Weinberger, Daniel
AU - Jaffe, Andrew E.
N1 - Publisher Copyright:
The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/24
Y1 - 2020/9/24
N2 - DNA methylation (DNAm) regulates gene expression and may represent gene-environment interactions. Using whole genome bisulfite sequencing, we surveyed DNAm in a large sample (n=344) of human brain tissues. We identify widespread genetic influence on local methylation levels throughout the genome, with 76% of SNPs and 38% 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 putative functional regions that explain much of the heritability associated with risk loci. Furthermore, some CpH sites associated with genetic variation. We have established 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.
AB - DNA methylation (DNAm) regulates gene expression and may represent gene-environment interactions. Using whole genome bisulfite sequencing, we surveyed DNAm in a large sample (n=344) of human brain tissues. We identify widespread genetic influence on local methylation levels throughout the genome, with 76% of SNPs and 38% 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 putative functional regions that explain much of the heritability associated with risk loci. Furthermore, some CpH sites associated with genetic variation. We have established 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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U2 - 10.1101/2020.09.24.311878
DO - 10.1101/2020.09.24.311878
M3 - Article
AN - SCOPUS:85098835995
JO - Advances in Water Resources
JF - Advances in Water Resources
SN - 0309-1708
ER -