Cargando…
Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk
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 identi...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413445/ https://www.ncbi.nlm.nih.gov/pubmed/34475392 http://dx.doi.org/10.1038/s41467-021-25517-3 |
_version_ | 1783747660727975936 |
---|---|
author | Perzel Mandell, Kira A. Eagles, Nicholas J. Wilton, Richard Price, Amanda J. Semick, Stephen A. Collado-Torres, Leonardo Ulrich, William S. Tao, Ran Han, Shizhong Szalay, Alexander S. Hyde, Thomas M. Kleinman, Joel E. Weinberger, Daniel R. Jaffe, Andrew E. |
author_facet | Perzel Mandell, Kira A. Eagles, Nicholas J. Wilton, Richard Price, Amanda J. Semick, Stephen A. Collado-Torres, Leonardo Ulrich, William S. Tao, Ran Han, Shizhong Szalay, Alexander S. Hyde, Thomas M. Kleinman, Joel E. Weinberger, Daniel R. Jaffe, Andrew E. |
author_sort | Perzel Mandell, Kira A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8413445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84134452021-09-22 Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk Perzel Mandell, Kira A. Eagles, Nicholas J. Wilton, Richard Price, Amanda J. Semick, Stephen A. Collado-Torres, Leonardo Ulrich, William S. Tao, Ran Han, Shizhong Szalay, Alexander S. Hyde, Thomas M. Kleinman, Joel E. Weinberger, Daniel R. Jaffe, Andrew E. Nat Commun Article 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. Nature Publishing Group UK 2021-09-02 /pmc/articles/PMC8413445/ /pubmed/34475392 http://dx.doi.org/10.1038/s41467-021-25517-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Perzel Mandell, Kira A. Eagles, Nicholas J. Wilton, Richard Price, Amanda J. Semick, Stephen A. Collado-Torres, Leonardo Ulrich, William S. Tao, Ran Han, Shizhong Szalay, Alexander S. Hyde, Thomas M. Kleinman, Joel E. Weinberger, Daniel R. Jaffe, Andrew E. Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
title | Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
title_full | Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
title_fullStr | Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
title_full_unstemmed | Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
title_short | Genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
title_sort | genome-wide sequencing-based identification of methylation quantitative trait loci and their role in schizophrenia risk |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413445/ https://www.ncbi.nlm.nih.gov/pubmed/34475392 http://dx.doi.org/10.1038/s41467-021-25517-3 |
work_keys_str_mv | AT perzelmandellkiraa genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT eaglesnicholasj genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT wiltonrichard genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT priceamandaj genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT semickstephena genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT colladotorresleonardo genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT ulrichwilliams genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT taoran genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT hanshizhong genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT szalayalexanders genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT hydethomasm genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT kleinmanjoele genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT weinbergerdanielr genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk AT jaffeandrewe genomewidesequencingbasedidentificationofmethylationquantitativetraitlociandtheirroleinschizophreniarisk |