학술논문

An epigenetic clock for gestational age at birth based on blood methylation data
Document Type
article
Source
Genome Biology. 17(1)
Subject
Biological Sciences
Biomedical and Clinical Sciences
Genetics
Infant Mortality
Clinical Research
Preterm
Low Birth Weight and Health of the Newborn
Perinatal Period - Conditions Originating in Perinatal Period
Pediatric
4.2 Evaluation of markers and technologies
Detection
screening and diagnosis
Reproductive health and childbirth
Generic health relevance
Adult
Aging
Biomarkers
Birth Weight
CpG Islands
DNA Methylation
Epigenesis
Genetic
Female
Fetal Development
Gestational Age
Humans
Infant
Newborn
Male
Pregnancy
Developmental age
Epigenetic clock
DNA methylation
Preterm birth
Cord blood
Fetus
Blood spot
Biomarker
Medicaid
Socioeconomic status
Birthweight
Environmental Sciences
Information and Computing Sciences
Bioinformatics
Language
Abstract
BackgroundGestational 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.ResultsWe 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.ConclusionsDNA 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.