Association of Maternal DNA Methylation and Offspring Birthweight.


Journal

Reproductive sciences (Thousand Oaks, Calif.)
ISSN: 1933-7205
Titre abrégé: Reprod Sci
Pays: United States
ID NLM: 101291249

Informations de publication

Date de publication:
01 2021
Historique:
received: 10 05 2020
accepted: 27 07 2020
pubmed: 6 8 2020
medline: 24 11 2021
entrez: 6 8 2020
Statut: ppublish

Résumé

This study aims to evaluate the association of maternal DNA methylation (DNAm) during pregnancy and offspring birthweight. One hundred twenty-two newborn-mother dyads from the Isle of Wight (IOW) cohort were studied to identify differentially methylated cytosine-phosphate-guanine sites (CpGs) in maternal blood associated with offspring birthweight. Peripheral blood samples were drawn from mothers at 22-38 weeks of pregnancy for epigenome-wide DNAm assessment using the Illumina Infinium HumanMethylation450K array. Candidate CpGs were identified using a course of 100 repetitions of a training and testing process with robust regressions. CpGs were considered informative if they showed statistical significance in at least 80% of training and testing samples. Linear mixed models adjusting for covariates were applied to further assess the selected CpGs. The Swedish Born Into Life cohort was used to replicate our findings (n = 33). Eight candidate CpGs corresponding to the genes LMF1, KIF9, KLHL18, DAB1, VAX2, CD207, SCT, SCYL2, DEPDC4, NECAP1, and SFRS3 in mothers were identified as statistically significantly associated with their children's birthweight in the IOW cohort and confirmed by linear mixed models after adjusting for covariates. Of these, in the replication cohort, three CpGs (cg01816814, cg23153661, and cg17722033 with p values = 0.06, 0.175, and 0.166, respectively) associated with four genes (LMF1, VAX2, CD207, and NECAP1) were marginally significant. Biological pathway analyses of three of the genes revealed cellular processes such as endocytosis (possibly sustaining an adequate maternal-fetal interface) and metabolic processes such as regulation of lipoprotein lipase activity (involved in providing substrates for the developing fetus). Our results contribute to an epigenetic understanding of maternal involvement in offspring birthweight. Measuring DNAm levels of maternal CpGs may in the future serve as a diagnostic tool recognizing mothers at risk for pregnancies ending with altered birthweights.

Identifiants

pubmed: 32754889
doi: 10.1007/s43032-020-00281-9
pii: 10.1007/s43032-020-00281-9
pmc: PMC7785565
mid: NIHMS1617888
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

218-227

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI091905
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL082925
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL132321
Pays : United States

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Auteurs

Parnian Kheirkhah Rahimabad (P)

Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA. Parnian.K@memphis.edu.

Syed Hasan Arshad (SH)

Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
The David Hide Asthma and Allergy Research Centre, Isle of Wight, UK.
NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, England, UK.

John W Holloway (JW)

Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, England, UK.
Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.

Nandini Mukherjee (N)

Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA.

Anna Hedman (A)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Olena Gruzieva (O)

Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.

Ellika Andolf (E)

Department of Clinical Sciences, Danderyd Hospital, Stockholm, Sweden.

Juha Kere (J)

Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.
Molecular Neurology Research Program, University of Helsinki and Folkhälsan Institute of Genetics, Helsinki, Finland.

Goran Pershagen (G)

Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.

Catarina Almqvist (C)

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Unit of Pediatric Allergy and Pulmonology at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden.

Yu Jiang (Y)

Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA.

Su Chen (S)

Department of Mathematical Sciences, University of Memphis, Memphis, TN, USA.

Wilfried Karmaus (W)

Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN, USA.

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