Ben Readhead

The paper provides a public resource of single nucleus RNA sequencing data and multiscale networks from Alzheimer's disease and non-disease individuals, linking genetic variants to molecular features and revealing novel disease biology.

The paper finds reduced PIN1 gene expression in female Alzheimer's patients correlates with cognitive decline and neuropathological features, suggesting it as a potential biomarker for AD risk in women.

The paper investigates the association between herpesviruses and Alzheimer's disease using multiomic data and simulations, finding increased HHV-6A abundance in AD brains.

This study integrates transcriptome data with genetic variation to identify gene-trait associations and uncover biological mechanisms underlying complex traits in humans and mice.

This study uses machine learning to prioritize small molecules for drug repositioning by analyzing chemical properties and leveraging public drug databases.

This study uses computational drug repositioning and gene expression analysis to identify potential therapies for Nipah Virus infection.

The paper uses gene expression data from schizophrenia cases and controls to show that common variants at 20% of schizophrenia risk loci regulate brain gene expression, with functional impacts on neural progenitor cells and zebrafish neuroanatomy.