Julia L. MacIsaac

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.

The paper examines how cellular heterogeneity in saliva affects DNA methylation and epigenetic age acceleration, showing differences based on cell type composition and reference panels.

This study examines differences between Infinium MethylationEPIC v1 and v2, showing high array-level concordance but probe-level variation, and recommends accounting for version differences in analyses.

The paper presents a genomic data resource from a caloric restriction trial, including SNP genotypes and multi-omic longitudinal data from multiple tissues.

The paper identifies evolutionarily conserved DNA methylation sites in great apes and shows their association with cancer but not other diseases.

This study shows that using updated reference genomes like T2T-CHM13 and pangenomes increases CpG detection in DNA methylation analysis and improves probe specificity in arrays, leading to more accurate findings in cancer studies.

This study identifies persistent DNA methylation changes linked to prenatal NO2 exposure in early childhood and links some changes to wheeze and atopy.

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 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.

The paper identifies ancestry-related DNA methylation differences and their causal impact on immune gene regulation using monocytes and Bayesian analysis.

The paper examines DNA methylation differences in white blood cell types between newborn and adult blood, showing how these changes reflect immune maturation and affect cell type prediction accuracy.

PRS-on-Spark generates polygenic risk scores efficiently, supporting diverse data inputs and improving variance explained for major depression.