A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes

Smoking-associated DNA methylation changes in whole blood have been reported by many EWAS. Here, the authors use a cell-type deconvolution algorithm to identify cell-type specific DNA methylation signals in seven EWAS, identifying lineage-specific smoking-associated DNA methylation changes.

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Autores principales:	Chenglong You, Sijie Wu, Shijie C. Zheng, Tianyu Zhu, Han Jing, Ken Flagg, Guangyu Wang, Li Jin, Sijia Wang, Andrew E. Teschendorff
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d35fa67c57af48bc9a217686903a42d6
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spelling	oai:doaj.org-article:d35fa67c57af48bc9a217686903a42d62021-12-02T17:26:56ZA cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes10.1038/s41467-020-18618-y2041-1723https://doaj.org/article/d35fa67c57af48bc9a217686903a42d62020-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18618-yhttps://doaj.org/toc/2041-1723Smoking-associated DNA methylation changes in whole blood have been reported by many EWAS. Here, the authors use a cell-type deconvolution algorithm to identify cell-type specific DNA methylation signals in seven EWAS, identifying lineage-specific smoking-associated DNA methylation changes.Chenglong YouSijie WuShijie C. ZhengTianyu ZhuHan JingKen FlaggGuangyu WangLi JinSijia WangAndrew E. TeschendorffNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Chenglong You Sijie Wu Shijie C. Zheng Tianyu Zhu Han Jing Ken Flagg Guangyu Wang Li Jin Sijia Wang Andrew E. Teschendorff A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
description	Smoking-associated DNA methylation changes in whole blood have been reported by many EWAS. Here, the authors use a cell-type deconvolution algorithm to identify cell-type specific DNA methylation signals in seven EWAS, identifying lineage-specific smoking-associated DNA methylation changes.
format	article
author	Chenglong You Sijie Wu Shijie C. Zheng Tianyu Zhu Han Jing Ken Flagg Guangyu Wang Li Jin Sijia Wang Andrew E. Teschendorff
author_facet	Chenglong You Sijie Wu Shijie C. Zheng Tianyu Zhu Han Jing Ken Flagg Guangyu Wang Li Jin Sijia Wang Andrew E. Teschendorff
author_sort	Chenglong You
title	A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
title_short	A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
title_full	A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
title_fullStr	A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
title_full_unstemmed	A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
title_sort	cell-type deconvolution meta-analysis of whole blood ewas reveals lineage-specific smoking-associated dna methylation changes
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d35fa67c57af48bc9a217686903a42d6
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A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes

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