Preprint · not peer-reviewed Researchers Educators

Brain-region-specific enhancer maps link cell-type regulatory variation to neurological disease risk

A preprint reports H3K27ac ChIP-seq data from six post-mortem human brain regions, showing that the cell-type and regional specificity of transcriptional enhancers helps explain the cellular pathology of neurological traits.

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Researchers have posted a preprint on bioRxiv presenting a large-scale epigenomic resource mapping transcriptional enhancer activity across neurons and glia from six distinct brain regions, each profiled in triplicate using H3K27ac ChIP-seq on cell populations sorted from post-mortem human tissue. The dataset was integrated with existing single-cell chromatin-accessibility data to interrogate which cell types and brain regions are most relevant to genetic risk for a range of neurological conditions.

Genetic variants associated with neurological traits have long been known to be enriched in active regulatory elements, but the diversity of neuronal and glial subtypes across brain regions has made it difficult to attribute risk variants to specific cell populations. The study finds that cell-type and brain-region specificity of enhancer activity meaningfully refines which variants are likely to affect which cells, offering new hypotheses about sites of disease pathology.

The resource complements existing single-cell transcriptomic and chromatin atlases of the human brain. Researchers studying the non-coding genome, gene regulation in neurological conditions, or functional annotation of GWAS loci are likely to find it particularly useful. This is a preprint and has not yet been peer-reviewed.

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  1. Primary sourcePreprint bioRxiv (Cold Spring Harbor Laboratory) · 2026-09-22
    Variation in enhancer activity across brain regions defines neurological disease risk and shapes cellular pathology

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neurological-disease enhancers brain-region-specificity epigenomics gwas neurogenomics chromatin-accessibility preprint
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Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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