Epigenetic gestational age and the relationship with developmental milestones in early childhood

Author:

Polinski Kristen J1,Robinson Sonia L1,Putnick Diane L1,Guan Weihua2,Gleason Jessica L1,Mumford Sunni L13,Sundaram Rajeshwari1,Mendola Pauline4,London Stephanie5,Yeung Edwina H1ORCID

Affiliation:

1. Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda, MD 20817 , USA

2. Division of Biostatistics, School of Public Health, University of Minnesota , Minneapolis, MN 55455 , USA

3. Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA 19104 , USA

4. Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo , Buffalo, NY 14214 , USA

5. Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services , Research Triangle Park, NC 27709 , USA

Abstract

Abstract Shorter gestational age (GA) is a risk factor of developmental delay. GA is usually estimated clinically from last menstrual period and ultrasound. DNA methylation (DNAm) estimates GA using sets of cytosine-guanine-sites coupled with a clock algorithm. Therefore, DNAm-estimated GA may better reflect biological maturation. A DNAm GA greater than clinical GA, known as gestational age acceleration (GAA), may indicate epigenetic maturity and holds potential as an early biomarker for developmental delay risk. We used data from the Upstate KIDS Study to examine associations of DNAm GA and developmental delay within the first 3 years based on the Ages & Stages Questionnaire® (n = 1010). We estimated DNAm GA using two clocks specific to the Illumina Methylation EPIC 850K, the Haftorn clock and one developed from the Effects of Aspirin in Gestation and Reproduction study, in which women were followed to detect pregnancy at the earliest time possible. Among singletons, each week increase in DNAm GA was protective for overall delay (odds ratio:0.74; 95% confidence interval:0.61–0.90) and delay in all domains except for problem-solving skills. Among twins, we observed similar point estimates but lower precision. Results were similar for clinical GA. GAA was largely not associated with developmental delays. In summary, either DNAm GA or clinical GA at birth, but not epigenetic maturity (i.e. GAA), was associated with decreased odds of developmental delay in early childhood. Our study does not support using DNAm GA or GAA as separate risk factors for future risk of developmental delay within the first 3 years of age.

Funder

National Institute of Child Health and Human Development

Intramural Research Program

National Institute of Environmental Health Sciences

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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