Charlotte A. M. Cecil

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

Across 15 cohorts (birth to 24 years), 20 epigenetic clocks and eight brain age models predicted chronological age modestly, stabilizing by middle childhood; their age residuals were weakly associated.

This paper develops a miRNA-based gestational age clock (miRClock-GA) using cord blood plasma miRNA data and validates it in an independent cohort, showing associations with birthweight and childhood BMI.

This study investigates whether genetic birthweight predisposition, through direct or indirect effects, is associated with DNA methylation at birth and identifies six methylation sites linked to maternal indirect effects.

The paper examines developmental correlates of epigenetic and polygenic indices of cognition and education from birth to young adulthood, finding Epigenetic-g is plastic in early childhood and captures distinct variation from polygenic indices.

The paper identifies age-dependent methylation quantitative trait loci (longitudinal mQTLs) across the lifespan using blood DNAm data from two cohorts, finding consistent genotype-by-age effects and associations with multiple phenotypes.

This study investigates brain age differences in youth with conduct disorder compared to controls, finding accelerated brain maturation in those with adolescence-onset CD.

This study identifies cell type-specific DNA methylation associations with childhood ADHD symptoms using deconvolution and sequencing-based methylation data from peripheral and cord blood.

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

This study estimates direct and indirect genetic effects on pediatric anthropometric traits in a Dutch cohort, finding significant direct effects but limited indirect genetic nurture influence.

This study examines inflammatory markers during pregnancy across four cohorts, finding that cytokines show high individual stability and genetic influence, while CRP is more influenced by BMI and polygenic factors.

The paper develops a DNAm reference panel called UniLIFE to estimate immune cell fractions in blood tissue across the lifespan, identifying biomarkers for type-1 diabetes in infants and children.

This study identifies 67 genetic loci associated with head size, finding strong overlaps with cancer pathways and genes, suggesting shared genetic mechanisms between head growth and cancer risk.

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 study identifies genetic links between early vocabulary development and ADHD and cognition traits using genome-wide analyses.

The paper examines the relationship between methylation age and brain age in adolescents, finding they are largely independent and influenced by different factors like smoking and BMI.

The paper estimates the variance explained by DNA methylation at birth for childhood phenotypes using GREML, finding moderate to large contributions for gestational age and birth weight but near-zero for BMI, IQ, and ADHD symptoms.

This study examines DNA methylation at birth and its association with childhood cognitive skills, finding weak single CpG site associations and one region near DUSP22 linked to non-verbal cognition.

This study uses Mendelian randomization to examine bidirectional causal effects between brain morphology and Alzheimer's disease risk across different life stages.

The paper outlines the protocol for the EarlyCause project, which investigates the biological mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity using longitudinal data, animal models, and cellular systems.

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

This study identifies DNA methylation sites at birth associated with ADHD symptoms later in childhood, but finds no such associations at school age.