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Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder
Integration of emerging epigenetic information with autism spectrum disorder (ASD) genetic results may elucidate functional insights not possible via either type of information in isolation. Here we use the genotype and DNA methylation (DNAm) data from cord blood and peripheral blood to identify SNP...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654961/ https://www.ncbi.nlm.nih.gov/pubmed/29066808 http://dx.doi.org/10.1038/s41467-017-00868-y |
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author | Andrews, Shan V. Ellis, Shannon E. Bakulski, Kelly M. Sheppard, Brooke Croen, Lisa A. Hertz-Picciotto, Irva Newschaffer, Craig J. Feinberg, Andrew P. Arking, Dan E. Ladd-Acosta, Christine Fallin, M. Daniele |
author_facet | Andrews, Shan V. Ellis, Shannon E. Bakulski, Kelly M. Sheppard, Brooke Croen, Lisa A. Hertz-Picciotto, Irva Newschaffer, Craig J. Feinberg, Andrew P. Arking, Dan E. Ladd-Acosta, Christine Fallin, M. Daniele |
author_sort | Andrews, Shan V. |
collection | PubMed |
description | Integration of emerging epigenetic information with autism spectrum disorder (ASD) genetic results may elucidate functional insights not possible via either type of information in isolation. Here we use the genotype and DNA methylation (DNAm) data from cord blood and peripheral blood to identify SNPs associated with DNA methylation (meQTL lists). Additionally, we use publicly available fetal brain and lung meQTL lists to assess enrichment of ASD GWAS results for tissue-specific meQTLs. ASD-associated SNPs are enriched for fetal brain (OR = 3.55; P < 0.001) and peripheral blood meQTLs (OR = 1.58; P < 0.001). The CpG targets of ASD meQTLs across cord, blood, and brain tissues are enriched for immune-related pathways, consistent with other expression and DNAm results in ASD, and reveal pathways not implicated by genetic findings. This joint analysis of genotype and DNAm demonstrates the potential of both brain and blood-based DNAm for insights into ASD and psychiatric phenotypes more broadly. |
format | Online Article Text |
id | pubmed-5654961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56549612017-10-26 Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder Andrews, Shan V. Ellis, Shannon E. Bakulski, Kelly M. Sheppard, Brooke Croen, Lisa A. Hertz-Picciotto, Irva Newschaffer, Craig J. Feinberg, Andrew P. Arking, Dan E. Ladd-Acosta, Christine Fallin, M. Daniele Nat Commun Article Integration of emerging epigenetic information with autism spectrum disorder (ASD) genetic results may elucidate functional insights not possible via either type of information in isolation. Here we use the genotype and DNA methylation (DNAm) data from cord blood and peripheral blood to identify SNPs associated with DNA methylation (meQTL lists). Additionally, we use publicly available fetal brain and lung meQTL lists to assess enrichment of ASD GWAS results for tissue-specific meQTLs. ASD-associated SNPs are enriched for fetal brain (OR = 3.55; P < 0.001) and peripheral blood meQTLs (OR = 1.58; P < 0.001). The CpG targets of ASD meQTLs across cord, blood, and brain tissues are enriched for immune-related pathways, consistent with other expression and DNAm results in ASD, and reveal pathways not implicated by genetic findings. This joint analysis of genotype and DNAm demonstrates the potential of both brain and blood-based DNAm for insights into ASD and psychiatric phenotypes more broadly. Nature Publishing Group UK 2017-10-24 /pmc/articles/PMC5654961/ /pubmed/29066808 http://dx.doi.org/10.1038/s41467-017-00868-y Text en © The Author(s) 2017 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/. |
spellingShingle | Article Andrews, Shan V. Ellis, Shannon E. Bakulski, Kelly M. Sheppard, Brooke Croen, Lisa A. Hertz-Picciotto, Irva Newschaffer, Craig J. Feinberg, Andrew P. Arking, Dan E. Ladd-Acosta, Christine Fallin, M. Daniele Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
title | Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
title_full | Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
title_fullStr | Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
title_full_unstemmed | Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
title_short | Cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
title_sort | cross-tissue integration of genetic and epigenetic data offers insight into autism spectrum disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5654961/ https://www.ncbi.nlm.nih.gov/pubmed/29066808 http://dx.doi.org/10.1038/s41467-017-00868-y |
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