Barry A. Chioza

The paper introduces PIPPA, a pipeline for processing large-scale ATAC-seq data, showing that peak calling performance varies by dataset and recommending parameters for high-confidence chromatin accessibility profiles.

The paper introduces optimized fluorescence-activated nuclei sorting (FANS) protocols to isolate cell-type-specific nuclei from human and mouse brain tissue for multi-omic analysis.

The paper identifies cell-type-specific DNA methylation differences in autism, revealing female-specific X chromosome alterations in microglia.

The paper identifies neuron-specific DNA methylation differences in schizophrenia using cell type-resolved epigenome-wide association study in prefrontal cortex nuclei.

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.

This study identifies cell-type-specific DNA methylation dynamics in the human cortex across development, highlighting prenatal periods as critical for epigenomic plasticity and linking changes to neurodevelopmental disorders.

The paper provides guidance for designing and analyzing cell-type specific epigenetic epidemiology studies using DNA methylation data from purified cell populations.

The paper develops and validates deconvolution models using DNA methylation data to estimate cell-type proportions in the human cortex, finding glial cells are twice as abundant as neurons and linking cell-type proportions to Alzheimer's disease neuropathology.

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

The paper identifies epigenetic aging abnormalities in growth disorders caused by mutations in epigenetic regulatory molecules.