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Meta-Analysis
. 2024 Aug;23(8):e14194.
doi: 10.1111/acel.14194. Epub 2024 May 29.

Maternal age is related to offspring DNA methylation: A meta-analysis of results from the PACE consortium

Edwina Yeung  1 Richard J Biedrzycki  2 Laura C Gómez Herrera  3   4   5 Prachand Issarapu  6 John Dou  7 Irene Fontes Marques  8   9 Sohail Rafik Mansuri  10 Christian Magnus Page  11 Justin Harbs  12 Dennis Khodasevich  13 Eric Poisel  14 Zhongzheng Niu  15 Catherine Allard  16 Emma Casey  17 Fernanda Morales Berstein  18   19 Giulia Mancano  18   19 Hannah R Elliott  18   19 Rebecca Richmond  18   19 Yiyan He  20 Justiina Ronkainen  20 Sylvain Sebert  20 Erin M Bell  21 Gemma Sharp  22 Sunni L Mumford  23 Enrique F Schisterman  23 Giriraj R Chandak  10 Caroline H D Fall  24 Sirazul A Sahariah  25 Matt J Silver  6 Andrew M Prentice  6 Luigi Bouchard  26   27 Magnus Domellof  28 Christina West  28 Nina Holland  13 Andres Cardenas  29 Brenda Eskenazi  13 Lea Zillich  14 Stephanie H Witt  14 Tabea Send  30 Carrie Breton  15 Kelly M Bakulski  7 M Daniele Fallin  31 Rebecca J Schmidt  32 Dan J Stein  33   34   35 Heather J Zar  35   36 Vincent W V Jaddoe  8   9 John Wright  37 Regina Grazuleviciene  38 Kristine Bjerve Gutzkow  39 Jordi Sunyer  3   4   5   40 Anke Huels  17   41 Martine Vrijheid  3   4   5 Sophia Harlid  12 Stephanie London  42 Marie-France Hivert  43   44 Janine Felix  8   9 Mariona Bustamante  3   4   5 Weihua Guan  45
Affiliations
Meta-Analysis

Maternal age is related to offspring DNA methylation: A meta-analysis of results from the PACE consortium

Edwina Yeung et al. Aging Cell. 2024 Aug.

Abstract

Worldwide trends to delay childbearing have increased parental ages at birth. Older parental age may harm offspring health, but mechanisms remain unclear. Alterations in offspring DNA methylation (DNAm) patterns could play a role as aging has been associated with methylation changes in gametes of older individuals. We meta-analyzed epigenome-wide associations of parental age with offspring blood DNAm of over 9500 newborns and 2000 children (5-10 years old) from the Pregnancy and Childhood Epigenetics consortium. In newborns, we identified 33 CpG sites in 13 loci with DNAm associated with maternal age (PFDR < 0.05). Eight of these CpGs were located near/in the MTNR1B gene, coding for a melatonin receptor. Regional analysis identified them together as a differentially methylated region consisting of 9 CpGs in/near MTNR1B, at which higher DNAm was associated with greater maternal age (PFDR = 6.92 × 10-8) in newborns. In childhood blood samples, these differences in blood DNAm of MTNR1B CpGs were nominally significant (p < 0.05) and retained the same positive direction, suggesting persistence of associations. Maternal age was also positively associated with higher DNA methylation at three CpGs in RTEL1-TNFRSF6B at birth (PFDR < 0.05) and nominally in childhood (p < 0.0001). Of the remaining 10 CpGs also persistent in childhood, methylation at cg26709300 in YPEL3/BOLA2B in external data was associated with expression of ITGAL, an immune regulator. While further study is needed to establish causality, particularly due to the small effect sizes observed, our results potentially support offspring DNAm as a mechanism underlying associations of maternal age with child health.

Keywords: DNA methylation; aging; child; melatonin; receptor.

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Conflict of interest statement

None to declare.

Figures

FIGURE 1
FIGURE 1
Manhattan plots for maternal age newborn blood EWAS. The Manhattan plots correspond to covariate adjustments for (a) cell type and batch, (b) additionally for maternal smoking, maternal education, maternal race/ethnicity/ancestry, parity, and selection (as applicable), and (c) additionally for BMI. Color indicates PFDR < 0.05.

References

    1. Adkins, R. M. , Thomas, F. , Tylavsky, F. A. , & Krushkal, J. (2011). Parental ages and levels of DNA methylation in the newborn are correlated. BMC Medical Genetics, 12, 47. 10.1186/1471-2350-12-47 - DOI - PMC - PubMed
    1. Ashapkin, V. , Suvorov, A. , Pilsner, J. R. , Krawetz, S. A. , & Sergeyev, O. (2023). Age‐associated epigenetic changes in mammalian sperm: Implications for offspring health and development. Human Reproduction Update, 29(1), 24–44. 10.1093/humupd/dmac033 - DOI - PMC - PubMed
    1. Bakulski, K. M. , Feinberg, J. I. , Andrews, S. V. , Yang, J. , Brown, S. , McKenney, S. , Witter, F. , Walston, J. , Feinberg, A. P. , & Fallin, M. D. (2016). DNA methylation of cord blood cell types: Applications for mixed cell birth studies. Epigenetics, 11(5), 354–362. 10.1080/15592294.2016.1161875 - DOI - PMC - PubMed
    1. Battram, T. , Yousefi, P. , Crawford, G. , Prince, C. , Sheikhali Babaei, M. , Sharp, G. , Hatcher, C. , Vega‐Salas, M. J. , Khodabakhsh, S. , Whitehurst, O. , Langdon, R. , Mahoney, L. , Elliott, H. R. , Mancano, G. , Lee, M. A. , Watkins, S. H. , Lay, A. C. , Hemani, G. , Gaunt, T. R. , … Suderman, M. (2022). The EWAS catalog: A database of epigenome‐wide association studies. Wellcome Open Res, 7, 41. 10.12688/wellcomeopenres.17598.2 - DOI - PMC - PubMed
    1. Benjamini, Y. , & Hochberg, Y. (1995). Controlling the false discovery rate – a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B: Statistical Methodology, 57(1), 289–300. 10.1111/j.2517-6161.1995.tb02031.x - DOI

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