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An epigenetic clock for gestational age at birth based on blood methylation data
by
Hougaard, David M.
, Just, Allan C.
, Iurato, Stella
, Park, Hea Jin
, Craig, Jeffrey M.
, Stowe, Zachary N.
, Laivuori, Hannele
, Menon, Ramkumar
, Svensson, Katherine
, Räikkönen, Katri
, LeWinn, Kaja Z.
, Doyle, Lex W.
, Kennedy, Elizabeth M.
, Horvath, Steve
, Bybjerg-Grauholm, Jonas
, Cheong, Jeanie L. Y.
, Kajantie, Eero
, Parets, Sasha E.
, Brennan, Patricia A.
, Tylavsky, Frances A.
, Conneely, Karen N.
, Lahti, Jari M. T.
, Trevisi, Letizia
, Newport, D. Jeffrey
, Cubells, Joseph F.
, Wright, Robert O.
, Binder, Elisabeth B.
, Villa, Pia M.
, Téllez-Rojo, Mara M.
, Hansen, Christine S.
, Werge, Thomas M.
, Hollegaard, Mads V.
, Smith, Alicia K.
, Dalach, Philippa
, Czamara, Darina
, Knight, Anna K.
, Bækvad-Hansen, Marie
, Theda, Christiane
, Bailey, Lynn B.
, Mortensen, Preben B.
, Loke, Yuk J.
, Weinsheimer, Shantel M.
, Baccarelli, Andrea A.
, Bush, Nicole R.
, Hämäläinen, Esa
, Pesonen, Anu-Katriina
, Kilaru, Varun
in
Adult
/ adults
/ Age
/ age determination
/ Aging - genetics
/ ancestry
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomarkers - blood
/ Biomedical and Life Sciences
/ Birth
/ Birth Weight
/ Blood
/ children
/ Cord blood
/ CpG islands
/ CpG Islands - genetics
/ data collection
/ Datasets
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ DNA Methylation - genetics
/ Epigenesis, Genetic
/ Epigenetics
/ Evolutionary Biology
/ Female
/ Fetal Development - genetics
/ Generalized linear models
/ Genomes
/ Gestational Age
/ Human Genetics
/ Humans
/ Infant, Newborn
/ Life Sciences
/ Male
/ Medical screening
/ Microbial Genetics and Genomics
/ Neonates
/ Plant Genetics and Genomics
/ Pregnancy
/ researchers
/ Studies
/ Ultrasonic imaging
/ Ultrasound
/ Umbilical cord
2016
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An epigenetic clock for gestational age at birth based on blood methylation data
by
Hougaard, David M.
, Just, Allan C.
, Iurato, Stella
, Park, Hea Jin
, Craig, Jeffrey M.
, Stowe, Zachary N.
, Laivuori, Hannele
, Menon, Ramkumar
, Svensson, Katherine
, Räikkönen, Katri
, LeWinn, Kaja Z.
, Doyle, Lex W.
, Kennedy, Elizabeth M.
, Horvath, Steve
, Bybjerg-Grauholm, Jonas
, Cheong, Jeanie L. Y.
, Kajantie, Eero
, Parets, Sasha E.
, Brennan, Patricia A.
, Tylavsky, Frances A.
, Conneely, Karen N.
, Lahti, Jari M. T.
, Trevisi, Letizia
, Newport, D. Jeffrey
, Cubells, Joseph F.
, Wright, Robert O.
, Binder, Elisabeth B.
, Villa, Pia M.
, Téllez-Rojo, Mara M.
, Hansen, Christine S.
, Werge, Thomas M.
, Hollegaard, Mads V.
, Smith, Alicia K.
, Dalach, Philippa
, Czamara, Darina
, Knight, Anna K.
, Bækvad-Hansen, Marie
, Theda, Christiane
, Bailey, Lynn B.
, Mortensen, Preben B.
, Loke, Yuk J.
, Weinsheimer, Shantel M.
, Baccarelli, Andrea A.
, Bush, Nicole R.
, Hämäläinen, Esa
, Pesonen, Anu-Katriina
, Kilaru, Varun
in
Adult
/ adults
/ Age
/ age determination
/ Aging - genetics
/ ancestry
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomarkers - blood
/ Biomedical and Life Sciences
/ Birth
/ Birth Weight
/ Blood
/ children
/ Cord blood
/ CpG islands
/ CpG Islands - genetics
/ data collection
/ Datasets
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ DNA Methylation - genetics
/ Epigenesis, Genetic
/ Epigenetics
/ Evolutionary Biology
/ Female
/ Fetal Development - genetics
/ Generalized linear models
/ Genomes
/ Gestational Age
/ Human Genetics
/ Humans
/ Infant, Newborn
/ Life Sciences
/ Male
/ Medical screening
/ Microbial Genetics and Genomics
/ Neonates
/ Plant Genetics and Genomics
/ Pregnancy
/ researchers
/ Studies
/ Ultrasonic imaging
/ Ultrasound
/ Umbilical cord
2016
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An epigenetic clock for gestational age at birth based on blood methylation data
by
Hougaard, David M.
, Just, Allan C.
, Iurato, Stella
, Park, Hea Jin
, Craig, Jeffrey M.
, Stowe, Zachary N.
, Laivuori, Hannele
, Menon, Ramkumar
, Svensson, Katherine
, Räikkönen, Katri
, LeWinn, Kaja Z.
, Doyle, Lex W.
, Kennedy, Elizabeth M.
, Horvath, Steve
, Bybjerg-Grauholm, Jonas
, Cheong, Jeanie L. Y.
, Kajantie, Eero
, Parets, Sasha E.
, Brennan, Patricia A.
, Tylavsky, Frances A.
, Conneely, Karen N.
, Lahti, Jari M. T.
, Trevisi, Letizia
, Newport, D. Jeffrey
, Cubells, Joseph F.
, Wright, Robert O.
, Binder, Elisabeth B.
, Villa, Pia M.
, Téllez-Rojo, Mara M.
, Hansen, Christine S.
, Werge, Thomas M.
, Hollegaard, Mads V.
, Smith, Alicia K.
, Dalach, Philippa
, Czamara, Darina
, Knight, Anna K.
, Bækvad-Hansen, Marie
, Theda, Christiane
, Bailey, Lynn B.
, Mortensen, Preben B.
, Loke, Yuk J.
, Weinsheimer, Shantel M.
, Baccarelli, Andrea A.
, Bush, Nicole R.
, Hämäläinen, Esa
, Pesonen, Anu-Katriina
, Kilaru, Varun
in
Adult
/ adults
/ Age
/ age determination
/ Aging - genetics
/ ancestry
/ Animal Genetics and Genomics
/ Bioinformatics
/ Biomarkers - blood
/ Biomedical and Life Sciences
/ Birth
/ Birth Weight
/ Blood
/ children
/ Cord blood
/ CpG islands
/ CpG Islands - genetics
/ data collection
/ Datasets
/ Deoxyribonucleic acid
/ DNA
/ DNA methylation
/ DNA Methylation - genetics
/ Epigenesis, Genetic
/ Epigenetics
/ Evolutionary Biology
/ Female
/ Fetal Development - genetics
/ Generalized linear models
/ Genomes
/ Gestational Age
/ Human Genetics
/ Humans
/ Infant, Newborn
/ Life Sciences
/ Male
/ Medical screening
/ Microbial Genetics and Genomics
/ Neonates
/ Plant Genetics and Genomics
/ Pregnancy
/ researchers
/ Studies
/ Ultrasonic imaging
/ Ultrasound
/ Umbilical cord
2016
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An epigenetic clock for gestational age at birth based on blood methylation data
Journal Article
An epigenetic clock for gestational age at birth based on blood methylation data
2016
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Overview
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.
Publisher
BioMed Central,Springer Nature B.V
Subject
/ adults
/ Age
/ ancestry
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Birth
/ Blood
/ children
/ Datasets
/ DNA
/ Female
/ Fetal Development - genetics
/ Genomes
/ Humans
/ Male
/ Microbial Genetics and Genomics
/ Neonates
/ Studies
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