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Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies

DNA methylation-based biomarkers of aging are highly correlated with actual age. Departures of methylation-estimated age from actual age can be used to define epigenetic measures of child development or age acceleration (AA) in adults. Very little is known about genetic or environmental determinants...

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Autores principales: Simpkin, Andrew J., Hemani, Gibran, Suderman, Matthew, Gaunt, Tom R., Lyttleton, Oliver, Mcardle, Wendy L., Ring, Susan M., Sharp, Gemma C., Tilling, Kate, Horvath, Steve, Kunze, Sonja, Peters, Annette, Waldenberger, Melanie, Ward-Caviness, Cavin, Nohr, Ellen A., Sørensen, Thorkild I. A., Relton, Caroline L., Smith, George Davey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690495/
https://www.ncbi.nlm.nih.gov/pubmed/26546615
http://dx.doi.org/10.1093/hmg/ddv456
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author Simpkin, Andrew J.
Hemani, Gibran
Suderman, Matthew
Gaunt, Tom R.
Lyttleton, Oliver
Mcardle, Wendy L.
Ring, Susan M.
Sharp, Gemma C.
Tilling, Kate
Horvath, Steve
Kunze, Sonja
Peters, Annette
Waldenberger, Melanie
Ward-Caviness, Cavin
Nohr, Ellen A.
Sørensen, Thorkild I. A.
Relton, Caroline L.
Smith, George Davey
author_facet Simpkin, Andrew J.
Hemani, Gibran
Suderman, Matthew
Gaunt, Tom R.
Lyttleton, Oliver
Mcardle, Wendy L.
Ring, Susan M.
Sharp, Gemma C.
Tilling, Kate
Horvath, Steve
Kunze, Sonja
Peters, Annette
Waldenberger, Melanie
Ward-Caviness, Cavin
Nohr, Ellen A.
Sørensen, Thorkild I. A.
Relton, Caroline L.
Smith, George Davey
author_sort Simpkin, Andrew J.
collection PubMed
description DNA methylation-based biomarkers of aging are highly correlated with actual age. Departures of methylation-estimated age from actual age can be used to define epigenetic measures of child development or age acceleration (AA) in adults. Very little is known about genetic or environmental determinants of these epigenetic measures of aging. We obtained DNA methylation profiles using Infinium HumanMethylation450 BeadChips across five time-points in 1018 mother–child pairs from the Avon Longitudinal Study of Parents and Children. Using the Horvath age estimation method, we calculated epigenetic age for these samples. AA was defined as the residuals from regressing epigenetic age on actual age. AA was tested for associations with cross-sectional clinical variables in children. We identified associations between AA and sex, birth weight, birth by caesarean section and several maternal characteristics in pregnancy, namely smoking, weight, BMI, selenium and cholesterol level. Offspring of non-drinkers had higher AA on average but this difference appeared to resolve during childhood. The associations between sex, birth weight and AA found in ARIES were replicated in an independent cohort (GOYA). In children, epigenetic AA measures are associated with several clinically relevant variables, and early life exposures appear to be associated with changes in AA during adolescence. Further research into epigenetic aging, including the use of causal inference methods, is required to better our understanding of aging.
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spelling pubmed-46904952015-12-30 Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies Simpkin, Andrew J. Hemani, Gibran Suderman, Matthew Gaunt, Tom R. Lyttleton, Oliver Mcardle, Wendy L. Ring, Susan M. Sharp, Gemma C. Tilling, Kate Horvath, Steve Kunze, Sonja Peters, Annette Waldenberger, Melanie Ward-Caviness, Cavin Nohr, Ellen A. Sørensen, Thorkild I. A. Relton, Caroline L. Smith, George Davey Hum Mol Genet Association Studies Articles DNA methylation-based biomarkers of aging are highly correlated with actual age. Departures of methylation-estimated age from actual age can be used to define epigenetic measures of child development or age acceleration (AA) in adults. Very little is known about genetic or environmental determinants of these epigenetic measures of aging. We obtained DNA methylation profiles using Infinium HumanMethylation450 BeadChips across five time-points in 1018 mother–child pairs from the Avon Longitudinal Study of Parents and Children. Using the Horvath age estimation method, we calculated epigenetic age for these samples. AA was defined as the residuals from regressing epigenetic age on actual age. AA was tested for associations with cross-sectional clinical variables in children. We identified associations between AA and sex, birth weight, birth by caesarean section and several maternal characteristics in pregnancy, namely smoking, weight, BMI, selenium and cholesterol level. Offspring of non-drinkers had higher AA on average but this difference appeared to resolve during childhood. The associations between sex, birth weight and AA found in ARIES were replicated in an independent cohort (GOYA). In children, epigenetic AA measures are associated with several clinically relevant variables, and early life exposures appear to be associated with changes in AA during adolescence. Further research into epigenetic aging, including the use of causal inference methods, is required to better our understanding of aging. Oxford University Press 2016-01-01 2015-11-05 /pmc/articles/PMC4690495/ /pubmed/26546615 http://dx.doi.org/10.1093/hmg/ddv456 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Association Studies Articles
Simpkin, Andrew J.
Hemani, Gibran
Suderman, Matthew
Gaunt, Tom R.
Lyttleton, Oliver
Mcardle, Wendy L.
Ring, Susan M.
Sharp, Gemma C.
Tilling, Kate
Horvath, Steve
Kunze, Sonja
Peters, Annette
Waldenberger, Melanie
Ward-Caviness, Cavin
Nohr, Ellen A.
Sørensen, Thorkild I. A.
Relton, Caroline L.
Smith, George Davey
Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
title Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
title_full Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
title_fullStr Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
title_full_unstemmed Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
title_short Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
title_sort prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies
topic Association Studies Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690495/
https://www.ncbi.nlm.nih.gov/pubmed/26546615
http://dx.doi.org/10.1093/hmg/ddv456
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