Literature DB >> 32960939

methylclock: a Bioconductor package to estimate DNA methylation age.

Dolors Pelegí-Sisó1, Paula de Prado1, Justiina Ronkainen2, Mariona Bustamante1,3, Juan R González1,3.   

Abstract

MOTIVATION: Ageing is a biological and psychosocial process related to diseases and mortality. It correlates with changes in DNA methylation (DNAm) in all human tissues. Therefore, epigenetic markers can be used to estimate biological age using DNAm profiling across tissues.
RESULTS: We developed a Bioconductor package that allows computation of several existing DNAm adult/childhood and gestational age clocks. Functions to visualize the DNAm age prediction versus chronological age and the correlation between DNAm clocks are also available as well as other features, such as missing data imputation of cell types' estimates, that are required for DNAm age clocks.
AVAILABILITY AND IMPLEMENTATION: https://github.com/isglobal-brge/methylclock. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Year:  2021        PMID: 32960939     DOI: 10.1093/bioinformatics/btaa825

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  Maternal plasma fatty acid patterns in mid-pregnancy and offspring epigenetic gestational age at birth.

Authors:  Giulietta S Monasso; Trudy Voortman; Janine F Felix
Journal:  Epigenetics       Date:  2022-05-17       Impact factor: 4.861

2.  DNA methylation patterns reflect individual's lifestyle independent of obesity.

Authors:  Ireen Klemp; Anne Hoffmann; Luise Müller; Tobias Hagemann; Kathrin Horn; Kerstin Rohde-Zimmermann; Anke Tönjes; Joachim Thiery; Markus Löffler; Ralph Burkhardt; Yvonne Böttcher; Michael Stumvoll; Matthias Blüher; Knut Krohn; Markus Scholz; Ronny Baber; Paul W Franks; Peter Kovacs; Maria Keller
Journal:  Clin Transl Med       Date:  2022-06

3.  Epigenetic impact of a 1-week intensive multimodal group program for adolescents with multiple adverse childhood experiences.

Authors:  Marta Cosín-Tomás; Andy Madrid; Perla Kaliman; Susana Roque López; Elkin Llanez-Anaya; Ligia A Papale; Reid S Alisch; Richard J Davidson
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

4.  Estimage: a webserver hub for the computation of methylation age.

Authors:  Pietro Di Lena; Claudia Sala; Christine Nardini
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

5.  Associations of circulating folate, vitamin B12 and homocysteine concentrations in early pregnancy and cord blood with epigenetic gestational age: the Generation R Study.

Authors:  Giulietta S Monasso; Leanne K Küpers; Vincent W V Jaddoe; Sandra G Heil; Janine F Felix
Journal:  Clin Epigenetics       Date:  2021-04-29       Impact factor: 6.551

6.  Epigenetic age acceleration and cardiovascular outcomes in school-age children: The Generation R Study.

Authors:  Giulietta S Monasso; Vincent W V Jaddoe; Leanne K Küpers; Janine F Felix
Journal:  Clin Epigenetics       Date:  2021-11-16       Impact factor: 6.551

Review 7.  How to Slow down the Ticking Clock: Age-Associated Epigenetic Alterations and Related Interventions to Extend Life Span.

Authors:  Anne-Marie Galow; Shahaf Peleg
Journal:  Cells       Date:  2022-01-29       Impact factor: 6.600

8.  eClock: An ensemble-based method to accurately predict ages with a biased distribution from DNA methylation data.

Authors:  Yu Liu
Journal:  PLoS One       Date:  2022-05-06       Impact factor: 3.240

9.  Interrelationships and determinants of aging biomarkers in cord blood.

Authors:  Brigitte Reimann; Dries S Martens; Congrong Wang; Akram Ghantous; Zdenko Herceg; Michelle Plusquin; Tim S Nawrot
Journal:  J Transl Med       Date:  2022-08-09       Impact factor: 8.440

10.  Evaluation of epigenetic age calculators between preeclampsia and normotensive pregnancies in an Australian cohort.

Authors:  Paulina Pruszkowska-Przybylska; Shaun Brennecke; Eric K Moses; Phillip E Melton
Journal:  Sci Rep       Date:  2022-01-31       Impact factor: 4.379

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