Zixuan Zhang

This paper introduces CT-FM and CT-FM-SNP methods to identify causal cell types and variants for diseases, finding most SNPs affect traits via a single cell type set.

CalPred provides well-calibrated prediction intervals for polygenic risk scores, maintaining calibration across different contextual factors unlike other methods.

The paper presents an isoform-level lung cell atlas using single-cell long-read RNA-sequencing, revealing genetic effects on isoform regulation that improve cell-type classification and identify novel variants associated with lung cancer risk.

The paper constructs a single-cell eQTL dataset from Asian never-smokers, identifying alveolar cell-specific genes linked to lung cancer susceptibility.

This study identifies genetic loci associated with Meniere's disease and links them to inner ear development and retinoic acid metabolism.

jaxQTL improves sc-eQTL mapping by using count-based models, identifying more eGenes and explaining more SNP-heritability than bulk-eQTLs.

FactorGo identifies pleiotropic components across thousands of human diseases and traits using GWAS summary statistics, outperforming existing methods in capturing latent factors.