An epigenetic clock for gestational age at birth based on blood methylation data. Issue 1 (December 2016)
- Record Type:
- Journal Article
- Title:
- An epigenetic clock for gestational age at birth based on blood methylation data. Issue 1 (December 2016)
- Main Title:
- An epigenetic clock for gestational age at birth based on blood methylation data
- Authors:
- Knight, Anna
Craig, Jeffrey
Theda, Christiane
Bækvad-Hansen, Marie
Bybjerg-Grauholm, Jonas
Hansen, Christine
Hollegaard, Mads
Hougaard, David
Mortensen, Preben
Weinsheimer, Shantel
Werge, Thomas
Brennan, Patricia
Cubells, Joseph
Newport, D.
Stowe, Zachary
Cheong, Jeanie
Dalach, Philippa
Doyle, Lex
Loke, Yuk
Baccarelli, Andrea
Just, Allan
Wright, Robert
Téllez-Rojo, Mara
Svensson, Katherine
Trevisi, Letizia
Kennedy, Elizabeth
Binder, Elisabeth
Iurato, Stella
Czamara, Darina
Räikkönen, Katri
Lahti, Jari
Pesonen, Anu-Katriina
Kajantie, Eero
Villa, Pia
Laivuori, Hannele
Hämäläinen, Esa
Park, Hea
Bailey, Lynn
Parets, Sasha
Kilaru, Varun
Menon, Ramkumar
Horvath, Steve
Bush, Nicole
LeWinn, Kaja
Tylavsky, Frances
Conneely, Karen
Smith, Alicia
… (more) - Abstract:
- Abstract 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 andAbstract 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. … (more)
- Is Part Of:
- Genome biology. Volume 17:Issue 1(2016)
- Journal:
- Genome biology
- Issue:
- Volume 17:Issue 1(2016)
- Issue Display:
- Volume 17, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 17
- Issue:
- 1
- Issue Sort Value:
- 2016-0017-0001-0000
- Page Start:
- 1
- Page End:
- 11
- Publication Date:
- 2016-12
- Subjects:
- Developmental age -- Aging -- Epigenetic clock -- DNA methylation -- Preterm birth -- Cord blood -- Fetus -- Blood spot -- Biomarker -- Medicaid -- Socioeconomic status -- Birthweight
Genomes -- Periodicals
Biology -- Periodicals
Molecular biology -- Periodicals
572.8633 - Journal URLs:
- http://www.genomebiology.com ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s13059-016-1068-z ↗
- Languages:
- English
- ISSNs:
- 1474-760X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9945.xml