Prediction of biological age and evaluation of genome-wide dynamic methylomic changes throughout human aging

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Autor(es): dc.contributorEducation and Extension Organization (AREEO)-
Autor(es): dc.contributorUniversity of Kurdistan-
Autor(es): dc.contributorDalhousie University-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Wisconsin-Madison-
Autor(es): dc.creatorRoudbar, Mahmoud Amiri-
Autor(es): dc.creatorMousavi, Seyedeh Fatemeh-
Autor(es): dc.creatorArdestani, Siavash Salek-
Autor(es): dc.creatorLopes, Fernando Brito-
Autor(es): dc.creatorMomen, Mehdi-
Autor(es): dc.creatorGianola, Daniel-
Autor(es): dc.creatorKhatib, Hasan-
Data de aceite: dc.date.accessioned2025-08-21T15:26:18Z-
Data de disponibilização: dc.date.available2025-08-21T15:26:18Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2021-07-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1093/g3journal/jkab112-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/229232-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/229232-
Descrição: dc.descriptionThe use of DNA methylation signatures to predict chronological age and aging rate is of interest in many fields, including disease prevention and treatment, forensics, and anti-aging medicine. Although a large number of methylation markers are significantly associated with age, most age-prediction methods use a few markers selected based on either previously published studies or datasets containing methylation information. Here, we implemented reproducing kernel Hilbert spaces (RKHS) regression and a ridge regression model in a Bayesian framework that utilized phenotypic and methylation profiles simultaneously to predict chronological age. We used over 450,000 CpG sites from the whole blood of a large cohort of 4409 human individuals with a range of 10-101 years of age. Models were fitted using adjusted and un-adjusted methylation measurements for cell heterogeneity. Un-adjusted methylation scores delivered a significantly higher prediction accuracy than adjusted methylation data, with a correlation between age and predicted age of 0.98 and a root mean square error (RMSE) of 3.54 years in un-adjusted data, and 0.90 (correlation) and 7.16 (RMSE) years in adjusted data. Reducing the number of predictors (CpG sites) through subset selection improved predictive power with a correlation of 0.98 and an RMSE of 2.98 years in the RKHS model. We found distinct global methylation patterns, with a significant increase in the proportion of methylated cytosines in CpG islands and a decreased proportion in other CpG types, including CpG shore, shelf, and open sea (P < 5e-06). Epigenetic drift seemed to be a widespread phenomenon as more than 97% of the age-associated methylation sites had heteroscedasticity. Apparent methylomic aging rate (AMAR) had a sex-specific pattern, with an increase in AMAR in females with age related to males.-
Descrição: dc.descriptionDepartment of Animal Science Safiabad-Dezful Agricultural and Natural Resources Research and Education Center Agricultural Research Education and Extension Organization (AREEO)-
Descrição: dc.descriptionDepartment of Animal Science Faculty of Agriculture Engineering University of Kurdistan-
Descrição: dc.descriptionDepartment of Animal Science and Aquaculture Dalhousie University-
Descrição: dc.descriptionDepartment of Animal Sciences Sao Paulo State University Julio de Mesquita Filho (UNESP), Prof. Paulo Donato, Jaboticabal-
Descrição: dc.descriptionDepartment of Surgical Sciences School of Veterinary Medicine University of Wisconsin-Madison-
Descrição: dc.descriptionDepartment of Animal and Dairy Sciences University of Wisconsin-Madison-
Descrição: dc.descriptionDepartment of Animal Sciences Sao Paulo State University Julio de Mesquita Filho (UNESP), Prof. Paulo Donato, Jaboticabal-
Idioma: dc.languageen-
Relação: dc.relationG3: Genes, Genomes, Genetics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAging-
Palavras-chave: dc.subjectBayesian ridge regression-
Palavras-chave: dc.subjectReproducing kernel Hilbert spaces-
Palavras-chave: dc.subjectWhole-methylome prediction-
Título: dc.titlePrediction of biological age and evaluation of genome-wide dynamic methylomic changes throughout human aging-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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