Fleur C. Garton

The paper identifies seven sex-dependent differentially methylated positions in ALS blood samples, suggesting sex-specific biological mechanisms in the disease.

The paper identifies sex-associated DNA methylation differences in ALS using a large-scale epigenome-wide association study and links them to survival outcomes.

The paper introduces a method to compress genetic data using autoencoders that leverage linkage disequilibrium structure, achieving high reconstruction accuracy while reducing data size.

The paper identifies tissue-informative DNA methylation sites in ALS using targeted sequencing and machine learning, showing accurate prediction of disease status and progression.

This study investigates the function of the ALS risk variant GGNBP2 in Drosophila motor neurons, showing it regulates autophagy and synaptic development.

This paper introduces CelFiE, a method to estimate cell type contributions to cfDNA, showing it can detect rare cell types and find increased skeletal muscle cfDNA in ALS patients.

This study investigates altered glucose-fatty acid flux in ALS using mouse models and patient-derived myotubes, finding increased fatty acid oxidation linked to slower disease progression but with metabolic heterogeneity across patients.