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A genomic atlas of systemic interindividual epigenetic variation in humans

BACKGROUND: DNA methylation is thought to be an important determinant of human phenotypic variation, but its inherent cell type specificity has impeded progress on this question. At exceptional genomic regions, interindividual variation in DNA methylation occurs systemically. Like genetic variants,...

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Autores principales: Gunasekara, Chathura J., Scott, C. Anthony, Laritsky, Eleonora, Baker, Maria S., MacKay, Harry, Duryea, Jack D., Kessler, Noah J., Hellenthal, Garrett, Wood, Alexis C., Hodges, Kelly R., Gandhi, Manisha, Hair, Amy B., Silver, Matt J., Moore, Sophie E., Prentice, Andrew M., Li, Yumei, Chen, Rui, Coarfa, Cristian, Waterland, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545702/
https://www.ncbi.nlm.nih.gov/pubmed/31155008
http://dx.doi.org/10.1186/s13059-019-1708-1
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author Gunasekara, Chathura J.
Scott, C. Anthony
Laritsky, Eleonora
Baker, Maria S.
MacKay, Harry
Duryea, Jack D.
Kessler, Noah J.
Hellenthal, Garrett
Wood, Alexis C.
Hodges, Kelly R.
Gandhi, Manisha
Hair, Amy B.
Silver, Matt J.
Moore, Sophie E.
Prentice, Andrew M.
Li, Yumei
Chen, Rui
Coarfa, Cristian
Waterland, Robert A.
author_facet Gunasekara, Chathura J.
Scott, C. Anthony
Laritsky, Eleonora
Baker, Maria S.
MacKay, Harry
Duryea, Jack D.
Kessler, Noah J.
Hellenthal, Garrett
Wood, Alexis C.
Hodges, Kelly R.
Gandhi, Manisha
Hair, Amy B.
Silver, Matt J.
Moore, Sophie E.
Prentice, Andrew M.
Li, Yumei
Chen, Rui
Coarfa, Cristian
Waterland, Robert A.
author_sort Gunasekara, Chathura J.
collection PubMed
description BACKGROUND: DNA methylation is thought to be an important determinant of human phenotypic variation, but its inherent cell type specificity has impeded progress on this question. At exceptional genomic regions, interindividual variation in DNA methylation occurs systemically. Like genetic variants, systemic interindividual epigenetic variants are stable, can influence phenotype, and can be assessed in any easily biopsiable DNA sample. We describe an unbiased screen for human genomic regions at which interindividual variation in DNA methylation is not tissue-specific. RESULTS: For each of 10 donors from the NIH Genotype-Tissue Expression (GTEx) program, CpG methylation is measured by deep whole-genome bisulfite sequencing of genomic DNA from tissues representing the three germ layer lineages: thyroid (endoderm), heart (mesoderm), and brain (ectoderm). We develop a computational algorithm to identify genomic regions at which interindividual variation in DNA methylation is consistent across all three lineages. This approach identifies 9926 correlated regions of systemic interindividual variation (CoRSIVs). These regions, comprising just 0.1% of the human genome, are inter-correlated over long genomic distances, associated with transposable elements and subtelomeric regions, conserved across diverse human ethnic groups, sensitive to periconceptional environment, and associated with genes implicated in a broad range of human disorders and phenotypes. CoRSIV methylation in one tissue can predict expression of associated genes in other tissues. CONCLUSIONS: In addition to charting a previously unexplored molecular level of human individuality, this atlas of human CoRSIVs provides a resource for future population-based investigations into how interindividual epigenetic variation modulates risk of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1708-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-65457022019-06-06 A genomic atlas of systemic interindividual epigenetic variation in humans Gunasekara, Chathura J. Scott, C. Anthony Laritsky, Eleonora Baker, Maria S. MacKay, Harry Duryea, Jack D. Kessler, Noah J. Hellenthal, Garrett Wood, Alexis C. Hodges, Kelly R. Gandhi, Manisha Hair, Amy B. Silver, Matt J. Moore, Sophie E. Prentice, Andrew M. Li, Yumei Chen, Rui Coarfa, Cristian Waterland, Robert A. Genome Biol Research BACKGROUND: DNA methylation is thought to be an important determinant of human phenotypic variation, but its inherent cell type specificity has impeded progress on this question. At exceptional genomic regions, interindividual variation in DNA methylation occurs systemically. Like genetic variants, systemic interindividual epigenetic variants are stable, can influence phenotype, and can be assessed in any easily biopsiable DNA sample. We describe an unbiased screen for human genomic regions at which interindividual variation in DNA methylation is not tissue-specific. RESULTS: For each of 10 donors from the NIH Genotype-Tissue Expression (GTEx) program, CpG methylation is measured by deep whole-genome bisulfite sequencing of genomic DNA from tissues representing the three germ layer lineages: thyroid (endoderm), heart (mesoderm), and brain (ectoderm). We develop a computational algorithm to identify genomic regions at which interindividual variation in DNA methylation is consistent across all three lineages. This approach identifies 9926 correlated regions of systemic interindividual variation (CoRSIVs). These regions, comprising just 0.1% of the human genome, are inter-correlated over long genomic distances, associated with transposable elements and subtelomeric regions, conserved across diverse human ethnic groups, sensitive to periconceptional environment, and associated with genes implicated in a broad range of human disorders and phenotypes. CoRSIV methylation in one tissue can predict expression of associated genes in other tissues. CONCLUSIONS: In addition to charting a previously unexplored molecular level of human individuality, this atlas of human CoRSIVs provides a resource for future population-based investigations into how interindividual epigenetic variation modulates risk of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1708-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-03 /pmc/articles/PMC6545702/ /pubmed/31155008 http://dx.doi.org/10.1186/s13059-019-1708-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Gunasekara, Chathura J.
Scott, C. Anthony
Laritsky, Eleonora
Baker, Maria S.
MacKay, Harry
Duryea, Jack D.
Kessler, Noah J.
Hellenthal, Garrett
Wood, Alexis C.
Hodges, Kelly R.
Gandhi, Manisha
Hair, Amy B.
Silver, Matt J.
Moore, Sophie E.
Prentice, Andrew M.
Li, Yumei
Chen, Rui
Coarfa, Cristian
Waterland, Robert A.
A genomic atlas of systemic interindividual epigenetic variation in humans
title A genomic atlas of systemic interindividual epigenetic variation in humans
title_full A genomic atlas of systemic interindividual epigenetic variation in humans
title_fullStr A genomic atlas of systemic interindividual epigenetic variation in humans
title_full_unstemmed A genomic atlas of systemic interindividual epigenetic variation in humans
title_short A genomic atlas of systemic interindividual epigenetic variation in humans
title_sort genomic atlas of systemic interindividual epigenetic variation in humans
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545702/
https://www.ncbi.nlm.nih.gov/pubmed/31155008
http://dx.doi.org/10.1186/s13059-019-1708-1
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