Epigenetic predictor of age.

From the moment of conception, we begin to age. A decay of cellular structures, gene regulation, and DNA sequence ages cells and organisms. DNA methylation patterns change with increasing age and contribute to age related disease. Here we identify 88 sites in or near 80 genes for which the degree of...

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Autores principales:	Sven Bocklandt, Wen Lin, Mary E Sehl, Francisco J Sánchez, Janet S Sinsheimer, Steve Horvath, Eric Vilain
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/78cf54e9e66045fab1e552ffb651d816
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spelling	oai:doaj.org-article:78cf54e9e66045fab1e552ffb651d8162021-11-18T06:51:38ZEpigenetic predictor of age.1932-620310.1371/journal.pone.0014821https://doaj.org/article/78cf54e9e66045fab1e552ffb651d8162011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21731603/?tool=EBIhttps://doaj.org/toc/1932-6203From the moment of conception, we begin to age. A decay of cellular structures, gene regulation, and DNA sequence ages cells and organisms. DNA methylation patterns change with increasing age and contribute to age related disease. Here we identify 88 sites in or near 80 genes for which the degree of cytosine methylation is significantly correlated with age in saliva of 34 male identical twin pairs between 21 and 55 years of age. Furthermore, we validated sites in the promoters of three genes and replicated our results in a general population sample of 31 males and 29 females between 18 and 70 years of age. The methylation of three sites--in the promoters of the EDARADD, TOM1L1, and NPTX2 genes--is linear with age over a range of five decades. Using just two cytosines from these loci, we built a regression model that explained 73% of the variance in age, and is able to predict the age of an individual with an average accuracy of 5.2 years. In forensic science, such a model could estimate the age of a person, based on a biological sample alone. Furthermore, a measurement of relevant sites in the genome could be a tool in routine medical screening to predict the risk of age-related diseases and to tailor interventions based on the epigenetic bio-age instead of the chronological age.Sven BocklandtWen LinMary E SehlFrancisco J SánchezJanet S SinsheimerSteve HorvathEric VilainPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 6, p e14821 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sven Bocklandt Wen Lin Mary E Sehl Francisco J Sánchez Janet S Sinsheimer Steve Horvath Eric Vilain Epigenetic predictor of age.
description	From the moment of conception, we begin to age. A decay of cellular structures, gene regulation, and DNA sequence ages cells and organisms. DNA methylation patterns change with increasing age and contribute to age related disease. Here we identify 88 sites in or near 80 genes for which the degree of cytosine methylation is significantly correlated with age in saliva of 34 male identical twin pairs between 21 and 55 years of age. Furthermore, we validated sites in the promoters of three genes and replicated our results in a general population sample of 31 males and 29 females between 18 and 70 years of age. The methylation of three sites--in the promoters of the EDARADD, TOM1L1, and NPTX2 genes--is linear with age over a range of five decades. Using just two cytosines from these loci, we built a regression model that explained 73% of the variance in age, and is able to predict the age of an individual with an average accuracy of 5.2 years. In forensic science, such a model could estimate the age of a person, based on a biological sample alone. Furthermore, a measurement of relevant sites in the genome could be a tool in routine medical screening to predict the risk of age-related diseases and to tailor interventions based on the epigenetic bio-age instead of the chronological age.
format	article
author	Sven Bocklandt Wen Lin Mary E Sehl Francisco J Sánchez Janet S Sinsheimer Steve Horvath Eric Vilain
author_facet	Sven Bocklandt Wen Lin Mary E Sehl Francisco J Sánchez Janet S Sinsheimer Steve Horvath Eric Vilain
author_sort	Sven Bocklandt
title	Epigenetic predictor of age.
title_short	Epigenetic predictor of age.
title_full	Epigenetic predictor of age.
title_fullStr	Epigenetic predictor of age.
title_full_unstemmed	Epigenetic predictor of age.
title_sort	epigenetic predictor of age.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/78cf54e9e66045fab1e552ffb651d816
work_keys_str_mv	AT svenbocklandt epigeneticpredictorofage AT wenlin epigeneticpredictorofage AT maryesehl epigeneticpredictorofage AT franciscojsanchez epigeneticpredictorofage AT janetssinsheimer epigeneticpredictorofage AT stevehorvath epigeneticpredictorofage AT ericvilain epigeneticpredictorofage
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Epigenetic predictor of age.

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