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Human methylome variation across Infinium 450K data on the Gene Expression Omnibus
While DNA methylation (DNAm) is the most-studied epigenetic mark, few recent studies probe the breadth of publicly available DNAm array samples. We collectively analyzed 35 360 Illumina Infinium HumanMethylation450K DNAm array samples published on the Gene Expression Omnibus. We learned a controlled...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061458/ https://www.ncbi.nlm.nih.gov/pubmed/33937763 http://dx.doi.org/10.1093/nargab/lqab025 |
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author | Maden, Sean K Thompson, Reid F Hansen, Kasper D Nellore, Abhinav |
author_facet | Maden, Sean K Thompson, Reid F Hansen, Kasper D Nellore, Abhinav |
author_sort | Maden, Sean K |
collection | PubMed |
description | While DNA methylation (DNAm) is the most-studied epigenetic mark, few recent studies probe the breadth of publicly available DNAm array samples. We collectively analyzed 35 360 Illumina Infinium HumanMethylation450K DNAm array samples published on the Gene Expression Omnibus. We learned a controlled vocabulary of sample labels by applying regular expressions to metadata and used existing models to predict various sample properties including epigenetic age. We found approximately two-thirds of samples were from blood, one-quarter were from brain and one-third were from cancer patients. About 19% of samples failed at least one of Illumina’s 17 prescribed quality assessments; signal distributions across samples suggest modifying manufacturer-recommended thresholds for failure would make these assessments more informative. We further analyzed DNAm variances in seven tissues (adipose, nasal, blood, brain, buccal, sperm and liver) and characterized specific probes distinguishing them. Finally, we compiled DNAm array data and metadata, including our learned and predicted sample labels, into database files accessible via the recountmethylation R/Bioconductor companion package. Its vignettes walk the user through some analyses contained in this paper. |
format | Online Article Text |
id | pubmed-8061458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80614582021-04-29 Human methylome variation across Infinium 450K data on the Gene Expression Omnibus Maden, Sean K Thompson, Reid F Hansen, Kasper D Nellore, Abhinav NAR Genom Bioinform Standard Article While DNA methylation (DNAm) is the most-studied epigenetic mark, few recent studies probe the breadth of publicly available DNAm array samples. We collectively analyzed 35 360 Illumina Infinium HumanMethylation450K DNAm array samples published on the Gene Expression Omnibus. We learned a controlled vocabulary of sample labels by applying regular expressions to metadata and used existing models to predict various sample properties including epigenetic age. We found approximately two-thirds of samples were from blood, one-quarter were from brain and one-third were from cancer patients. About 19% of samples failed at least one of Illumina’s 17 prescribed quality assessments; signal distributions across samples suggest modifying manufacturer-recommended thresholds for failure would make these assessments more informative. We further analyzed DNAm variances in seven tissues (adipose, nasal, blood, brain, buccal, sperm and liver) and characterized specific probes distinguishing them. Finally, we compiled DNAm array data and metadata, including our learned and predicted sample labels, into database files accessible via the recountmethylation R/Bioconductor companion package. Its vignettes walk the user through some analyses contained in this paper. Oxford University Press 2021-04-22 /pmc/articles/PMC8061458/ /pubmed/33937763 http://dx.doi.org/10.1093/nargab/lqab025 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Standard Article Maden, Sean K Thompson, Reid F Hansen, Kasper D Nellore, Abhinav Human methylome variation across Infinium 450K data on the Gene Expression Omnibus |
title | Human methylome variation across Infinium 450K data on the Gene Expression Omnibus |
title_full | Human methylome variation across Infinium 450K data on the Gene Expression Omnibus |
title_fullStr | Human methylome variation across Infinium 450K data on the Gene Expression Omnibus |
title_full_unstemmed | Human methylome variation across Infinium 450K data on the Gene Expression Omnibus |
title_short | Human methylome variation across Infinium 450K data on the Gene Expression Omnibus |
title_sort | human methylome variation across infinium 450k data on the gene expression omnibus |
topic | Standard Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061458/ https://www.ncbi.nlm.nih.gov/pubmed/33937763 http://dx.doi.org/10.1093/nargab/lqab025 |
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