Epigenetic Predictor of Age
Publication Date
June 22, 2011
Journal
PLOS ONE
Authors
Sven Bocklandt, Wen Lin, Mary E. Sehl, Francisco J. Sánchez, et al
Volume
6
Issue
6
Pages
e14821
DOI
https://dx.plos.org/10.1371/journal.pone.0014821
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0014821
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/21731603
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3120753
Europe PMC
http://europepmc.org/abstract/MED/21731603
Web of Science
000292033700001
Scopus
79959509099
Mendeley
http://www.mendeley.com/research/epigenetic-predictor-age-1
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Mendeley | Further Information

{"title"=>"Epigenetic predictor of age", "type"=>"journal", "authors"=>[{"first_name"=>"Sven", "last_name"=>"Bocklandt", "scopus_author_id"=>"6506177916"}, {"first_name"=>"Wen", "last_name"=>"Lin", "scopus_author_id"=>"56251391600"}, {"first_name"=>"Mary E.", "last_name"=>"Sehl", "scopus_author_id"=>"6507626297"}, {"first_name"=>"Francisco J.", "last_name"=>"Sánchez", "scopus_author_id"=>"35796080100"}, {"first_name"=>"Janet S.", "last_name"=>"Sinsheimer", "scopus_author_id"=>"7006292467"}, {"first_name"=>"Steve", "last_name"=>"Horvath", "scopus_author_id"=>"36870723900"}, {"first_name"=>"Eric", "last_name"=>"Vilain", "scopus_author_id"=>"7004694804"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"362005023", "sgr"=>"79959509099", "pmid"=>"1000090690", "scopus"=>"2-s2.0-79959509099", "isbn"=>"0011-3891", "arxiv"=>"1203.2655", "doi"=>"10.1371/journal.pone.0014821", "issn"=>"19326203"}, "id"=>"e5889c05-f097-38f4-bb2d-7b6c0e00a2a1", "abstract"=>"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 correlatedwith age in saliva of 34 male identical twin pairs between 21 and 55 years of age. Furthermore, wevalidated 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 fromthese loci, we built a regressionmodel 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 amodel could estimate the age of a person, based on a biological sample alone. Furthermore, ameasurement of relevant sites in the genome could be a tool in routinemedical screening to predict the risk of age-related diseases and to tailor interventions based on the epigenetic bio-age instead of the chronological age", "link"=>"http://www.mendeley.com/research/epigenetic-predictor-age-1", "reader_count"=>321, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>27, "Student > Doctoral Student"=>14, "Researcher"=>84, "Student > Ph. D. Student"=>68, "Student > Postgraduate"=>10, "Student > Master"=>49, "Other"=>9, "Student > Bachelor"=>36, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>14}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>27, "Student > Doctoral Student"=>14, "Researcher"=>84, "Student > Ph. D. Student"=>68, "Student > Postgraduate"=>10, "Student > Master"=>49, "Other"=>9, "Student > Bachelor"=>36, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>3, "Professor"=>14}, "reader_count_by_subject_area"=>{"Unspecified"=>18, "Agricultural and Biological Sciences"=>153, "Arts and Humanities"=>1, "Chemistry"=>3, "Computer Science"=>8, "Economics, Econometrics and Finance"=>1, "Engineering"=>4, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>60, "Materials Science"=>1, "Mathematics"=>2, "Medicine and Dentistry"=>40, "Neuroscience"=>10, "Design"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>3, "Physics and Astronomy"=>1, "Psychology"=>5, "Social Sciences"=>8, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>40}, "Social Sciences"=>{"Social Sciences"=>8}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>5}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>18}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>3}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>4}, "Chemistry"=>{"Chemistry"=>3}, "Neuroscience"=>{"Neuroscience"=>10}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>153}, "Computer Science"=>{"Computer Science"=>8}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>60}}, "reader_count_by_country"=>{"Hungary"=>1, "Hong Kong"=>1, "United States"=>12, "United Kingdom"=>4, "Portugal"=>1, "Iceland"=>1, "Russia"=>1, "Spain"=>1, "Canada"=>2, "Netherlands"=>1, "Sweden"=>1, "Belgium"=>1, "Ireland"=>1, "Poland"=>1, "South Africa"=>1, "Italy"=>1, "Mexico"=>1, "Germany"=>1}, "group_count"=>12}

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  • {"files"=>["https://ndownloader.figshare.com/files/384421", "https://ndownloader.figshare.com/files/384451", "https://ndownloader.figshare.com/files/384464", "https://ndownloader.figshare.com/files/384478", "https://ndownloader.figshare.com/files/384492", "https://ndownloader.figshare.com/files/384526", "https://ndownloader.figshare.com/files/384564", "https://ndownloader.figshare.com/files/384593", "https://ndownloader.figshare.com/files/384625", "https://ndownloader.figshare.com/files/384652"], "description"=>"<div><p>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.</p></div>", "links"=>[], "tags"=>["epigenetic", "predictor"], "article_id"=>135910, "categories"=>["Medicine", "Molecular Biology", "Genetics"], "users"=>["Sven Bocklandt", "Wen Lin", "Mary E. Sehl", "Francisco J. Sánchez", "Janet S. Sinsheimer", "Steve Horvath", "Eric Vilain"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0014821.s001", "https://dx.doi.org/10.1371/journal.pone.0014821.s002", "https://dx.doi.org/10.1371/journal.pone.0014821.s003", "https://dx.doi.org/10.1371/journal.pone.0014821.s004", "https://dx.doi.org/10.1371/journal.pone.0014821.s005", "https://dx.doi.org/10.1371/journal.pone.0014821.s006", "https://dx.doi.org/10.1371/journal.pone.0014821.s007", "https://dx.doi.org/10.1371/journal.pone.0014821.s008", "https://dx.doi.org/10.1371/journal.pone.0014821.s009", "https://dx.doi.org/10.1371/journal.pone.0014821.s010"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Epigenetic_Predictor_of_Age/135910", "title"=>"Epigenetic Predictor of Age", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-06-22 01:38:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/762278"], "description"=>"<p>(a) Branches of the hierarchical cluster tree define five co-methylation modules which are assigned a color as can be seen from the first color band underneath the tree. Probes that could not be clustered into one of these modules were coded grey. Every probe represents a line in the hierarchical cluster tree. Distance between two probes is shown as height on the y-axis. The second color band encodes the age relationships of each gene. Genes with positive age correlations are colored in blue. (b) Barplots showing age relationships of modules. Specifically, the y-axis shows the mean Student T-statistic testing whether the methylation status of a probe is correlated with age. Note that the green module is enriched for probes that have a significant positive correlation with age. A t-statistic value of 2 or higher indicates a significant correlation (p<0.05).</p>", "links"=>[], "tags"=>["co-methylation", "modules", "saliva"], "article_id"=>432645, "categories"=>["Medicine", "Molecular Biology", "Genetics"], "users"=>["Sven Bocklandt", "Wen Lin", "Mary E. Sehl", "Francisco J. Sánchez", "Janet S. Sinsheimer", "Steve Horvath", "Eric Vilain"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0014821.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Detection_of_gene_co_methylation_modules_in_human_saliva_in_twins_/432645", "title"=>"Detection of gene co-methylation modules in human saliva in twins.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-22 00:44:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/762354"], "description"=>"<p>Original twin samples are blue, male control samples are red, female control samples green. Linear trendlines are shown in the colors of the individual sample sets a) Edaradd <i>r</i> = −0.81 (twins), <i>r</i> = −0.73 (male controls), <i>r</i> = −0.75 (female controls) b) NPTX2 <i>r</i> = 0.52 (twins), <i>r</i> = 0.79 (male controls), <i>r</i> = 0.03 (female controls) c) Tom1L1 <i>r</i> = −0.70 (twins), <i>r</i> = −0.49 (male controls), <i>r</i> = −0.24 (female controls).</p>", "links"=>[], "tags"=>["methylation", "markers", "validated"], "article_id"=>432723, "categories"=>["Medicine", "Molecular Biology", "Genetics"], "users"=>["Sven Bocklandt", "Wen Lin", "Mary E. Sehl", "Francisco J. Sánchez", "Janet S. Sinsheimer", "Steve Horvath", "Eric Vilain"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0014821.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Percentage_methylation_versus_age_for_three_markers_validated_in_three_sample_sets_/432723", "title"=>"Percentage methylation versus age for three markers validated in three sample sets.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-22 00:45:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/762412"], "description"=>"<p>A multivariate regression model was fit on all but one sample and its predicted age (y-axis) was related to the truly observed age of the left out sample (x-axis). The predicted values are highly correlated with the observed ages (r = 0.83, p = 2.2×10<sup>−16</sup>, n = 66), and the average absolute difference between the predicted and the observed age is 5.2 years.</p>", "links"=>[], "tags"=>["observed", "subjects", "leave-one-out"], "article_id"=>432783, "categories"=>["Medicine", "Molecular Biology", "Genetics"], "users"=>["Sven Bocklandt", "Wen Lin", "Mary E. Sehl", "Francisco J. Sánchez", "Janet S. Sinsheimer", "Steve Horvath", "Eric Vilain"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0014821.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predicted_versus_observed_age_of_all_subjects_using_a_leave_one_out_model_/432783", "title"=>"Predicted versus observed age of all subjects using a leave-one-out model.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-06-22 00:46:23"}

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Relative Metric

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