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An epigenetic clock for gestational age at birth based on blood methylation data
BACKGROUND: Gestational age is often used as a proxy for developmental maturity by clinicians and researchers alike. DNA methylation has previously been shown to be associated with age and has been used to accurately estimate chronological age in children and adults. In the current study, we examine...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054584/ https://www.ncbi.nlm.nih.gov/pubmed/27717399 http://dx.doi.org/10.1186/s13059-016-1068-z |
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author | Knight, Anna K. Craig, Jeffrey M. Theda, Christiane Bækvad-Hansen, Marie Bybjerg-Grauholm, Jonas Hansen, Christine S. Hollegaard, Mads V. Hougaard, David M. Mortensen, Preben B. Weinsheimer, Shantel M. Werge, Thomas M. Brennan, Patricia A. Cubells, Joseph F. Newport, D. Jeffrey Stowe, Zachary N. Cheong, Jeanie L. Y. Dalach, Philippa Doyle, Lex W. Loke, Yuk J. Baccarelli, Andrea A. Just, Allan C. Wright, Robert O. Téllez-Rojo, Mara M. Svensson, Katherine Trevisi, Letizia Kennedy, Elizabeth M. Binder, Elisabeth B. Iurato, Stella Czamara, Darina Räikkönen, Katri Lahti, Jari M. T. Pesonen, Anu-Katriina Kajantie, Eero Villa, Pia M. Laivuori, Hannele Hämäläinen, Esa Park, Hea Jin Bailey, Lynn B. Parets, Sasha E. Kilaru, Varun Menon, Ramkumar Horvath, Steve Bush, Nicole R. LeWinn, Kaja Z. Tylavsky, Frances A. Conneely, Karen N. Smith, Alicia K. |
author_facet | Knight, Anna K. Craig, Jeffrey M. Theda, Christiane Bækvad-Hansen, Marie Bybjerg-Grauholm, Jonas Hansen, Christine S. Hollegaard, Mads V. Hougaard, David M. Mortensen, Preben B. Weinsheimer, Shantel M. Werge, Thomas M. Brennan, Patricia A. Cubells, Joseph F. Newport, D. Jeffrey Stowe, Zachary N. Cheong, Jeanie L. Y. Dalach, Philippa Doyle, Lex W. Loke, Yuk J. Baccarelli, Andrea A. Just, Allan C. Wright, Robert O. Téllez-Rojo, Mara M. Svensson, Katherine Trevisi, Letizia Kennedy, Elizabeth M. Binder, Elisabeth B. Iurato, Stella Czamara, Darina Räikkönen, Katri Lahti, Jari M. T. Pesonen, Anu-Katriina Kajantie, Eero Villa, Pia M. Laivuori, Hannele Hämäläinen, Esa Park, Hea Jin Bailey, Lynn B. Parets, Sasha E. Kilaru, Varun Menon, Ramkumar Horvath, Steve Bush, Nicole R. LeWinn, Kaja Z. Tylavsky, Frances A. Conneely, Karen N. Smith, Alicia K. |
author_sort | Knight, Anna K. |
collection | PubMed |
description | BACKGROUND: Gestational age is often used as a proxy for developmental maturity by clinicians and researchers alike. DNA methylation has previously been shown to be associated with age and has been used to accurately estimate chronological age in children and adults. In the current study, we examine whether DNA methylation in cord blood can be used to estimate gestational age at birth. RESULTS: We find that gestational age can be accurately estimated from DNA methylation of neonatal cord blood and blood spot samples. We calculate a DNA methylation gestational age using 148 CpG sites selected through elastic net regression in six training datasets. We evaluate predictive accuracy in nine testing datasets and find that the accuracy of the DNA methylation gestational age is consistent with that of gestational age estimates based on established methods, such as ultrasound. We also find that an increased DNA methylation gestational age relative to clinical gestational age is associated with birthweight independent of gestational age, sex, and ancestry. CONCLUSIONS: DNA methylation can be used to accurately estimate gestational age at or near birth and may provide additional information relevant to developmental stage. Further studies of this predictor are warranted to determine its utility in clinical settings and for research purposes. When clinical estimates are available this measure may increase accuracy in the testing of hypotheses related to developmental age and other early life circumstances. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1068-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5054584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50545842016-10-19 An epigenetic clock for gestational age at birth based on blood methylation data Knight, Anna K. Craig, Jeffrey M. Theda, Christiane Bækvad-Hansen, Marie Bybjerg-Grauholm, Jonas Hansen, Christine S. Hollegaard, Mads V. Hougaard, David M. Mortensen, Preben B. Weinsheimer, Shantel M. Werge, Thomas M. Brennan, Patricia A. Cubells, Joseph F. Newport, D. Jeffrey Stowe, Zachary N. Cheong, Jeanie L. Y. Dalach, Philippa Doyle, Lex W. Loke, Yuk J. Baccarelli, Andrea A. Just, Allan C. Wright, Robert O. Téllez-Rojo, Mara M. Svensson, Katherine Trevisi, Letizia Kennedy, Elizabeth M. Binder, Elisabeth B. Iurato, Stella Czamara, Darina Räikkönen, Katri Lahti, Jari M. T. Pesonen, Anu-Katriina Kajantie, Eero Villa, Pia M. Laivuori, Hannele Hämäläinen, Esa Park, Hea Jin Bailey, Lynn B. Parets, Sasha E. Kilaru, Varun Menon, Ramkumar Horvath, Steve Bush, Nicole R. LeWinn, Kaja Z. Tylavsky, Frances A. Conneely, Karen N. Smith, Alicia K. Genome Biol Research BACKGROUND: Gestational age is often used as a proxy for developmental maturity by clinicians and researchers alike. DNA methylation has previously been shown to be associated with age and has been used to accurately estimate chronological age in children and adults. In the current study, we examine whether DNA methylation in cord blood can be used to estimate gestational age at birth. RESULTS: We find that gestational age can be accurately estimated from DNA methylation of neonatal cord blood and blood spot samples. We calculate a DNA methylation gestational age using 148 CpG sites selected through elastic net regression in six training datasets. We evaluate predictive accuracy in nine testing datasets and find that the accuracy of the DNA methylation gestational age is consistent with that of gestational age estimates based on established methods, such as ultrasound. We also find that an increased DNA methylation gestational age relative to clinical gestational age is associated with birthweight independent of gestational age, sex, and ancestry. CONCLUSIONS: DNA methylation can be used to accurately estimate gestational age at or near birth and may provide additional information relevant to developmental stage. Further studies of this predictor are warranted to determine its utility in clinical settings and for research purposes. When clinical estimates are available this measure may increase accuracy in the testing of hypotheses related to developmental age and other early life circumstances. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-1068-z) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-07 /pmc/articles/PMC5054584/ /pubmed/27717399 http://dx.doi.org/10.1186/s13059-016-1068-z Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Knight, Anna K. Craig, Jeffrey M. Theda, Christiane Bækvad-Hansen, Marie Bybjerg-Grauholm, Jonas Hansen, Christine S. Hollegaard, Mads V. Hougaard, David M. Mortensen, Preben B. Weinsheimer, Shantel M. Werge, Thomas M. Brennan, Patricia A. Cubells, Joseph F. Newport, D. Jeffrey Stowe, Zachary N. Cheong, Jeanie L. Y. Dalach, Philippa Doyle, Lex W. Loke, Yuk J. Baccarelli, Andrea A. Just, Allan C. Wright, Robert O. Téllez-Rojo, Mara M. Svensson, Katherine Trevisi, Letizia Kennedy, Elizabeth M. Binder, Elisabeth B. Iurato, Stella Czamara, Darina Räikkönen, Katri Lahti, Jari M. T. Pesonen, Anu-Katriina Kajantie, Eero Villa, Pia M. Laivuori, Hannele Hämäläinen, Esa Park, Hea Jin Bailey, Lynn B. Parets, Sasha E. Kilaru, Varun Menon, Ramkumar Horvath, Steve Bush, Nicole R. LeWinn, Kaja Z. Tylavsky, Frances A. Conneely, Karen N. Smith, Alicia K. An epigenetic clock for gestational age at birth based on blood methylation data |
title | An epigenetic clock for gestational age at birth based on blood methylation data |
title_full | An epigenetic clock for gestational age at birth based on blood methylation data |
title_fullStr | An epigenetic clock for gestational age at birth based on blood methylation data |
title_full_unstemmed | An epigenetic clock for gestational age at birth based on blood methylation data |
title_short | An epigenetic clock for gestational age at birth based on blood methylation data |
title_sort | epigenetic clock for gestational age at birth based on blood methylation data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054584/ https://www.ncbi.nlm.nih.gov/pubmed/27717399 http://dx.doi.org/10.1186/s13059-016-1068-z |
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