Results 11 to 20 of about 14,270 (275)

Associations of green and blue space exposure in pregnancy with epigenetic gestational age acceleration [PDF]

open access: diamondEpigenetics, 2023
Early life is seen as a particularly sensitive period for environmental exposures. Natural space exposure during pregnancy has been associated with offspring health.
Irene Marques   +7 more
doaj   +9 more sources

Epigenetic gestational age acceleration: a prospective cohort study investigating associations with familial, sociodemographic and birth characteristics [PDF]

open access: goldClinical Epigenetics, 2018
Background Gestational age at delivery is associated with health and social outcomes. Recently, cord blood DNA methylation data has been used to predict gestational age.
Jasmine N. Khouja   +7 more
doaj   +10 more sources

Prenatal and birth associations of epigenetic gestational age acceleration in the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS) cohort [PDF]

open access: hybridEpigenetics, 2022
Gestational age (GA) is an important determinant of child health and disease risk. Two epigenetic GA clocks have been developed using DNA methylation (DNAm) patterns in cord blood.
Saher Daredia   +9 more
doaj   +10 more sources

Gestational age acceleration is associated with epigenetic biomarkers of prenatal physiologic stress exposure. [PDF]

open access: goldClin Epigenetics, 2022
Abstract Background Physiological maternal stress response, such as imbalance in the glucocorticoid pathway and immune system seems to be mediated by DNA methylation (DNAm) and might translate intrauterine stress exposures into phenotypic changes in a sex-specific manner.
Euclydes V   +11 more
europepmc   +9 more sources

Immune pathways and prenatal/perinatal environmental exposures contribute to epigenetic gestational age prediction and acceleration [PDF]

open access: diamondEpigenetics
DNA methylation (DNAm), capturing chronological gestational age (GA) and epigenetic gestational age acceleration (EGAA), can be modified by environmental exposures. The Asthma&Allergy array is a new DNAm array developed with content focused on asthma and
Amy A. Eapen   +14 more
doaj   +6 more sources

Epigenetic Age Acceleration in Mothers and Offspring 4–10 Years after a Pregnancy Complicated by Gestational Diabetes and Obesity [PDF]

open access: goldMetabolites, 2022
A known association exists between exposure to gestational diabetes mellitus (GDM) and epigenetic age acceleration (EAA) in GDM-exposed offspring compared to those without GDM exposure.
Nita Kanney   +4 more
doaj   +4 more sources

Cross-Cohort Mixture Analysis: A Data Integration Approach With Applications on Gestational Age and DNA-Methylation-Derived Gestational Age Acceleration Metrics. [PDF]

open access: greenBiom J
ABSTRACT Data integration of multiple studies can provide enhanced exposure contrast and statistical power to examine associations between environmental exposure mixtures and health outcomes. Extant research has combined populations and identified an overall mixture–outcome association, without accounting for differences across ...
Colicino E   +8 more
europepmc   +6 more sources

Maternal Vitamin D Deficiency Is a Risk Factor for Infants' Epigenetic Gestational Age Acceleration at Birth in Japan: A Cohort Study. [PDF]

open access: greenNutrients
Background/Objectives: The DNA methylation of neonatal cord blood can be used to accurately estimate gestational age. This is known as epigenetic gestational age. The greater the difference between epigenetic and chronological gestational age, the greater the association with an inappropriate perinatal fetal environment and development.
Kawai T   +8 more
europepmc   +6 more sources

Amplification of the epigenetic (gestational) age acceleration signal [PDF]

open access: green, 2021
ABSTRACTBackgroundEpigenetic (gestational) age acceleration (E(G)AA) is associated with environmental exposures and health outcomes in humans. However, E(G)AA is the residual term from a regression of epigenetic age (outcome) on chronological (gestational) age (predictor) and therefore strongly obscured by ‘noise’ from multiple sources.
Yunsung Lee, Jon Bohlin
openalex   +2 more sources

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