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. 2016 Oct 7;17(1):206.
doi: 10.1186/s13059-016-1068-z.

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

Anna K Knight  1 , Jeffrey M Craig  2 , Christiane Theda  3 , Marie Bækvad-Hansen  4 , Jonas Bybjerg-Grauholm  4 , Christine S Hansen  4 , Mads V Hollegaard  4   5 , David M Hougaard  4   5 , Preben B Mortensen  6 , Shantel M Weinsheimer  7 , Thomas M Werge  7 , Patricia A Brennan  8 , Joseph F Cubells  1   9   10 , D Jeffrey Newport  11 , Zachary N Stowe  12 , Jeanie L Y Cheong  2   3 , Philippa Dalach  2 , Lex W Doyle  2   3 , Yuk J Loke  2 , Andrea A Baccarelli  13 , Allan C Just  14 , Robert O Wright  14 , Mara M Téllez-Rojo  15 , Katherine Svensson  14 , Letizia Trevisi  16 , Elizabeth M Kennedy  1 , Elisabeth B Binder  10   17 , Stella Iurato  17 , Darina Czamara  17 , Katri Räikkönen  18 , Jari M T Lahti  18   19   20 , Anu-Katriina Pesonen  18 , Eero Kajantie  21   22   23 , Pia M Villa  24 , Hannele Laivuori  25   26 , Esa Hämäläinen  27 , Hea Jin Park  28 , Lynn B Bailey  28 , Sasha E Parets  10 , Varun Kilaru  28 , Ramkumar Menon  29 , Steve Horvath  30   31 , Nicole R Bush  32   33 , Kaja Z LeWinn  32 , Frances A Tylavsky  34 , Karen N Conneely  1   9 , Alicia K Smith  35   36   37
Affiliations

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

Anna K Knight et al. Genome Biol. .

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.

Keywords: Aging; Biomarker; Birthweight; Blood spot; Cord blood; DNA methylation; Developmental age; Epigenetic clock; Fetus; Medicaid; Preterm birth; Socioeconomic status.

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Figures

Fig. 1
Fig. 1
Correlation between DNAm GA and GA. a DNAm GA and estimated clinical GA (EGA) are highly correlated in the training dataset: r = 0.99, median error (m.e.) = 0.35. b DNAm GA and estimated clinical GA were also highly correlated in the testing dataset: r = 0.91, median error = 1.24. Solid line = regression line; dotted line indicates equivalence
Fig. 2
Fig. 2
Reproducibility of DNAm GA. DNAm GA from birth until term equivalency for two subjects recruited through the EpiPrem study, gestational age at birth 25 weeks. DNAm GA increases appropriately with gestational age in weeks. Change in DNAm GA over equivalent weeks gestation
Fig. 3
Fig. 3
GA acceleration associates with birthweight. The association between GA acceleration and a birthweight percentile (p = 4.5 × 10−4) or b birthweight (p = 0.033) adjusted for race, cellular composition, cohort, and gestational age in CANDLE, WMHP, and PROGRESS. Solid line = regression line
Fig. 4
Fig. 4
Maternal insurance status and GA acceleration. Neonates born to mothers with private insurance have higher GA acceleration than neonates born to mothers on Medicaid (p = 0.023) after adjusting for race, gestational age, and cellular composition
See this image and copyright information in PMC

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