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An epigenetic clock for gestational age at birth based on blood methylation data

Anna K. Knight, Jeffrey M. Craig, Christiane Theda, Marie Bækvad‐Hansen, Jonas Bybjerg‐Grauholm, Christine Søholm Hansen, Mads V. Hollegaard, David M. Hougaard, Preben Bo Mortensen, Shantel Weinsheimer, Thomas Werge, Patricia A. Brennan, Joseph F. Cubells, D. Jeffrey Newport, Zachary N. Stowe

Genome biology · 2016 · ▲ 311 citations

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 and other early life circumstances.

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Provenance

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OpenAlex
DOI
10.1186/s13059-016-1068-z
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Fetched
2026-06-09 MST

Cite this

APA
Knight, A.K., Craig, J.M., Theda, C., Bækvad‐Hansen, M., Bybjerg‐Grauholm, J., Hansen, C.S., Hollegaard, M.V., Hougaard, D.M., Mortensen, P.B., Weinsheimer, S., Werge, T., Brennan, P.A., Cubells, J.F., Newport, D.J., Stowe, Z.N., Cheong, J.L., Dalach, P., Doyle, L.W., Loke, Y.J., &amp; Baccarelli, A. (2016). An epigenetic clock for gestational age at birth based on blood methylation data. <em>Genome biology</em>. https://doi.org/10.1186/s13059-016-1068-z
Vancouver
Knight AK, Craig JM, Theda C, Bækvad‐Hansen M, Bybjerg‐Grauholm J, Hansen CS, et al. An epigenetic clock for gestational age at birth based on blood methylation data. Genome biology. 2016. doi:10.1186/s13059-016-1068-z.
BibTeX
@article{anna2016Anepig, title = {An epigenetic clock for gestational age at birth based on blood methylation data}, author = {Anna K. Knight and Jeffrey M. Craig and Christiane Theda and Marie Bækvad‐Hansen and Jonas Bybjerg‐Grauholm and Christine Søholm Hansen and Mads V. Hollegaard and David M. Hougaard and Preben Bo Mortensen and Shantel Weinsheimer and Thomas Werge and Patricia A. Brennan and Joseph F. Cubells and D. Jeffrey Newport and Zachary N. Stowe and Jeanie L.Y. Cheong and Philippa Dalach and Lex W. Doyle and Yuk Jing Loke and Andrea Baccarelli and Allan C. Just and Robert O. Wright and Martha María Téllez‐Rojo and Katherine Svensson and Letizia Trevisi}, journal = {Genome biology}, year = {2016}, doi = {10.1186/s13059-016-1068-z}, }

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