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Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age
Simon Kebede Merid, Alexei Novoloaca, Gemma C. Sharp, Leanne K. Küpers, Alvin T. Kho, Ritu Roy, Lu Gao, Isabella Annesi‐Maesano, Pooja Jain, Michelle Plusquin, Manolis Kogevinas, Catherine Allard, Florianne O. L. Vehmeijer, Nabila Kazmi, Lucas A. Salas
Genome Medicine · 2020 · ▲ 149 citations
Abstract
BACKGROUND: Preterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children. METHODS: We performed meta-analysis of Illumina's HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4-18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung. RESULTS: , of which 3343 were novel. These were annotated to 4966 genes. After restricting findings to at least three significant adjacent CpGs, we identified 1276 CpGs annotated to 325 genes. Results were generally consistent when analyses were restricted to term births. Cord blood findings tended not to persist into childhood and adolescence. Pathway analyses identified enrichment for biological processes critical to embryonic development. Follow-up of identified genes showed correlations between gestational age and DNA methylation levels in fetal brain and lung tissue, as well as correlation with expression levels. CONCLUSIONS: We identified numerous CpGs differentially methylated in relation to gestational age at birth that appear to reflect fetal developmental processes across tissues. These findings may contribute to understanding mechanisms linking gestational age to health effects.
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- 10.1186/s13073-020-0716-9
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- 2026-07-22 MST
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APA
Merid, S.K., Novoloaca, A., Sharp, G.C., Küpers, L.K., Kho, A.T., Roy, R., Gao, L., Annesi‐Maesano, I., Jain, P., Plusquin, M., Kogevinas, M., Allard, C., Vehmeijer, F.O.L., Kazmi, N., Salas, L.A., Rezwan, F.I., Zhang, H., Sebért, S., Czamara, D., & Rifas‐Shiman, S.L. (2020). Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age. <em>Genome Medicine</em>. https://doi.org/10.1186/s13073-020-0716-9
Vancouver
Merid SK, Novoloaca A, Sharp GC, Küpers LK, Kho AT, Roy R, et al. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age. Genome Medicine. 2020. doi:10.1186/s13073-020-0716-9.
BibTeX
@article{simon2020Epigen,
title = {Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age},
author = {Simon Kebede Merid and Alexei Novoloaca and Gemma C. Sharp and Leanne K. Küpers and Alvin T. Kho and Ritu Roy and Lu Gao and Isabella Annesi‐Maesano and Pooja Jain and Michelle Plusquin and Manolis Kogevinas and Catherine Allard and Florianne O. L. Vehmeijer and Nabila Kazmi and Lucas A. Salas and Faisal I. Rezwan and Hongmei Zhang and Sylvain Sebért and Darina Czamara and Sheryl L. Rifas‐Shiman and Phillip E. Melton and Debbie A. Lawlor and Göran Pershagen and Carrie V. Breton and Karen Huen},
journal = {Genome Medicine},
year = {2020},
doi = {10.1186/s13073-020-0716-9},
}
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