B4749 - Smart Watch Face - Predicting Offspring Reproductive Development Using Maternal Placenta DNA Methylation Clock - 26/11/2024
This study focuses on the physiological behaviors of pregnant women and the health of their offspring. It leverages population information and biological samples from ALSPAC (Avon Longitudinal Study of Parents and Children), the Shanghai Minhang Birth Cohort, and the Millennium Cohort Study. By employing novel statistical modeling strategies and machine learning techniques, the research predicts the epigenetic age of pregnant women, a unique population, through DNA methylation data of maternal and child samples. Building upon this, the study further investigates the impact of actual age, epigenetic age, and accelerated epigenetic aging on the reproductive development outcomes of the offspring. This approach aims to provide new insights into the role of epigenetic mechanisms in the mother-child interaction and offspring development, offering potential epigenetic targets for interventions to improve maternal and child health.