Katie Lunnon

Genedex integrates gene signatures from Alzheimer's disease studies to contextualize gene expression across pathology, cell types, and brain regions, revealing new insights into disease mechanisms.

The paper identifies shared genetic and epigenetic mechanisms at the MOBP locus linking ALS and PSP, with distinct patterns from MSA.

This study examines how systemic respiratory infections alter transcriptional patterns in the Alzheimer's disease brain, identifying gene expression changes and pathways linked to immune and vascular responses.

This paper identifies shared metabolic and kinase signaling disruptions in Parkinson's disease and multiple system atrophy using patient-derived models and postmortem tissue.

The paper identifies DNA methylation changes in transgenic mouse models of Alzheimer's disease, showing distinct patterns for tau and amyloid-beta pathology and some overlap with human AD data.

This study identifies two epigenomic subtypes of late-onset Alzheimer's disease with distinct microglial and neuronal methylation signatures, linking them to different inflammatory and functional pathways.

This study identifies neuron-specific DNA methylation changes in Parkinson's disease prefrontal cortex, revealing hypermethylation at seven novel loci and highlighting the importance of cell-type-specific analysis.

CEAM is a tool for analyzing DNA methylation data to identify cell type-specific patterns, validated on neurodegenerative disease datasets.

The paper investigates how the 17q21.31 locus influences Parkinson's disease through KANSL1 activity, showing haplotype-specific effects on key biological processes.

The paper identifies a DNA methylation module in the substantia nigra associated with depressive symptoms in Parkinson's disease.

The paper develops a multivariate methylation risk score using blood DNA methylation data to predict dementia risk and cognitive impairment in Alzheimer's and Parkinson's disease cohorts.

This study identifies cell-type-specific epigenetic changes in TNXB in Alzheimer's disease using bulk and single-cell analyses of the dorsal raphe nucleus.

This study identifies DNA methylation changes in FTLD subtypes, finding OTUD4 as a key gene with consistent expression dysregulation across subtypes.

The paper identifies DNA methylation signatures in Alzheimer's disease cortex, showing most changes are driven by non-neuronal cell types.

The paper develops a novel epigenetic clock for fetal brain development to predict prenatal age in iPSCs and derived neurons, showing they remain epigenetically fetal despite differentiation.

This study performs a meta-analysis of DNA methylation data from Alzheimer's disease patients to identify differentially methylated loci across brain regions and cortex.

The paper identifies an epigenomic factor linked to reduced activated microglia that mitigates the risk of Alzheimer's disease in APOE ε4 carriers.

The paper develops a novel DNA methylation clock optimized for human cortex tissue, outperforming existing clocks and highlighting issues with previous associations between DNA methylation age and neurodegenerative phenotypes.

This paper shows that reducing Ank2 expression in Drosophila neurons causes AD-like features, suggesting ANK1 may be a therapeutic target.

This study identifies transcriptional changes in tau and amyloid mouse models, revealing gene expression patterns linked to AD pathology and immune response.

This study identifies widespread H3K27ac acetylomic variation in AD cases compared to controls, linking it to disease-related pathways and AD-associated genetic variants.