David T S Lin

This study examines DNA methylation in children from a Congo Basin community, linking it to family dynamics like parental conflict and father caregiving, and identifies associated biological pathways.

This study examines how prenatal air pollution exposure affects DNA methylation in cord blood and its link to childhood wheeze, finding some epigenetic changes are partially buffered by maternal diet.

RAMEN dissects gene-environment contributions to DNA methylome variability in cord blood, finding genetics explains the largest proportion of DNAme variance.

The paper develops universal epigenetic clocks that accurately estimate age across mammalian tissues using DNA methylation data from 185 species.

This study identifies factors influencing DNA methylation variation in human blood, showing that cytomegalovirus infection and aging drive methylation changes, with cellular composition and DNA sequence as key predictors.

This study analyzes DNA methylation changes in humans undergoing calorie restriction, finding CR-induced DNAm changes opposite BMI and smoking associations and aligned with aging-related CpG sites.

The paper examines epigenetic age acceleration (EAA) across multiple tissues in HIV-infected individuals, finding tissue-specific correlations and associations with clinical conditions and sex.

This study identifies DNA methylation and hydroxymethylation changes in dopaminergic neurons overexpressing alpha-synuclein variants, linking them to altered gene expression in PD-related pathways.

This study finds that internalizing symptoms in early childhood predict higher epigenetic age acceleration at age 6, which is linked to later internalizing symptoms.

This study uses multi-omic profiling of blood samples from ALD patients to identify molecular markers predictive of cerebral demyelination, but finds no statistically significant markers due to high inter-individual variation.

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.