Matthew J Suderman

This study integrates prenatal exposures and genetics to predict DNA methylation at birth, finding that the exposome explains additional variation beyond genetic factors.

This study conducts an epigenome-wide association study (EWAS) meta-analysis of wellbeing using DNA methylation data, finding no significant methylation sites but suggesting the need for larger studies.

The paper identifies sex-specific regulatory dynamics in adolescent brain development that may contribute to depression vulnerability through hormone-sensitive gene expression and chromatin accessibility patterns.

This study investigates how DNA methylation (DNAm) links racial discrimination, economic adversity, and air pollution to health inequities using epigenome-wide association analyses.

This study identifies differential chromatin architecture and risk variants in specific brain cell types associated with major depressive disorder.

The paper conducts a Bayesian EWAS and GWAS of smoking using DNA methylation data from blood and brain tissues, identifying smoking-related loci and developing an epigenetic biomarker.

This study identifies epigenetic changes and accelerated ageing in multifocal small intestinal neuroendocrine tumours, revealing altered metabolic gene regulation and tumour-specific methylation patterns.

The paper characterizes the developmental trajectories of adult epigenetic clock sites using longitudinal cohort data, finding divergent patterns, early individual variation, and enrichment for genetic and prenatal environmental factors.

This study uses longitudinal meta-regression to examine how DNA methylation effects on child health outcomes vary by timing, finding larger effects in childhood but noisier associations and time-specific signals.

This paper develops an epigenetic score to objectively measure alcohol consumption using blood-based DNA methylation and validates it across multiple cohorts, finding associations with brain health metrics.

The paper identifies genetic impacts on DNA methylation across 724,499 CpGs in blood samples, revealing co-localisations with disease traits and regulatory mechanisms.

This study identifies DNA methylation changes in offspring linked to fathers' preconception smoking, with specific CpG sites associated with asthma, wheezing, and BMI.

This study evaluates the reliability of DNA methylation measurements using the Illumina Infinium MethylationEPIC BeadChip at low DNA input levels, finding that 40ng DNA can be used with quality checks.

The paper investigates how childhood adversity during sensitive periods affects DNA methylation in genes regulating developmental plasticity using a gene set-based approach.

This study shows that grandmaternal smoking during pregnancy is linked to specific DNA methylation changes in grandchildren, with sex-specific effects on the X chromosome.

The paper investigates the stability and regulatory implications of DNA co-methylation across age and ancestry, finding stable patterns and links to transcription factor binding and chromatin interactions.

The paper assesses how changes in data versions and analytic methods affect the reproducibility of epigenome-wide association study results using the ALSPAC cohort.

The paper introduces a robust statistical test for detecting associations with both mean and variability in high-dimensional phenotypes, applied to DNA methylation data.

This study maps DNA methylation changes across the human life course using data from 7,037 individuals, showing increased variability and age-related mean changes at specific CpG sites.

The paper identifies genetic variants influencing DNA methylation in blood and shows their associations with complex traits and diseases, but finds limited direct causality.

This study examines how time-varying childhood adversity affects DNA methylation across development, finding persistent effects at age 15 and resolving differences by adolescence.

The paper analyzes DNA methylation changes across birth to late adolescence in two cohorts, finding widespread nonlinear changes and sex-specific patterns.

This paper identifies DNA methylation sites associated with aggression through a meta-analysis of epigenome-wide studies across different age groups and tissues.

The paper uses single-nucleus RNA sequencing to identify gene expression changes in specific cell types associated with major depressive disorder.

This paper examines DNA methylation's association with BMI across different life stages, finding it explains limited BMI variance and is not a strong predictor of future BMI.

This study examines how gestational age acceleration (GAA) relates to weight and height trajectories from birth to 10 years, finding initial increases in birth weight and height that reverse later in childhood.

This study identifies 40 CpG sites with differential methylation at age 7 linked to adversity exposure timing, showing infancy as a sensitive period for DNAm changes.

Combining nearby CpG summary statistics by inverse-variance weighted meta-analysis holds false positives at the nominal level where comb-p and DMRcate inflate, and supports multi-cohort meta-analysis.

The paper investigates whether DNA methylation mediates genetic risk for type 1 diabetes by analyzing SNP-methylation associations across different life stages.