Dan Zhou

The paper develops a cross-ancestry information transfer framework to improve protein abundance prediction and protein-trait association identification in underrepresented populations.

The paper identifies eQTLs, rQTLs, and pQTLs in the human brain and shows that many eQTL effects are attenuated post-transcriptionally, yet still correlate with schizophrenia GWAS signals.

The China Brain Multi-omics Atlas Project (CBMAP) creates a comprehensive molecular reference map of over 1,000 human brains to address underrepresentation in East Asian populations and advance research on aging and neuropsychiatric disorders.

This paper introduces TReD, a framework integrating population-level disease signatures and cell-based drug responses to identify potential therapeutics for COVID-19 and T2D.

The paper develops a framework to model cell-type-specific gene expression dynamics in neurons and applies it to identify genes associated with schizophrenia and other complex diseases.

This study identifies ancestry-specific and sex-specific genetic loci for primary open-angle glaucoma through a meta-analysis of 15 biobanks, highlighting shared biology with vascular mechanisms and cell proliferation.

The paper outlines best practices for conducting multi-ancestry transcriptome-wide association studies (TWAS) using the Global Biobank Meta-analysis Initiative data, addressing challenges in ancestry and tissue specificity.

The paper uses GTEx data to analyze GWAS loci, showing dose-dependent RNA effects and proposing target genes for 47% of loci using combined methods.

The paper identifies 70 gene-level associations with 26 infectious disease traits using transcriptome-wide association studies and explores their molecular basis and implications for host-pathogen interactions.

The paper integrates genetic, transcriptomic, and clinical data to identify CNV gene associations with brain-related and health traits, finding pleiotropy and multigenicity in CNV biology.