Sarah Amandine Caroline Voisin

This study identifies tissue-specific sex-biased DNA methylation changes across the lifespan, showing that age-related methylation changes are widespread but sex effects are rare and tissue-specific.

The paper creates a DNA methylation aging atlas across 17 human tissues, identifying conserved and tissue-specific aging signatures and potential therapeutic targets.

This study identifies 48% differentially methylated positions and 37% variably methylated positions in blood methylomes across aging, revealing their roles in entropy and epigenetic clocks.

This paper uses DNA methylation data to analyze immune cell fractions across 25,629 blood samples, identifying associations with age, sex, health outcomes, and lifestyle factors.

This study shows exercise training reduces epigenetic and transcriptomic aging in human skeletal muscle, while muscle disuse accelerates transcriptomic aging.

The paper integrates skeletal muscle methylome and transcriptome data across three cohorts to identify sex differences in DNA methylation and gene expression, revealing functional links between epigenetic and transcriptional sex biases.

The paper identifies age-related DNA methylation changes in human skeletal muscle through a meta-analysis and integrates these with transcriptomic and proteomic data, revealing enriched age-related gene expression patterns.

The paper identifies nine nuclear-encoded SNPs associated with exercise response in the Gene SMART cohort using whole-mitochondrial genome sequencing and composite trait analysis.

The paper develops a muscle-specific epigenetic clock using DNA methylation data from skeletal muscle samples, achieving higher accuracy than a pan-tissue clock.