Samuel Anyaso-Samuel

This paper identifies 116 risk loci for melanoma through GWAS, links susceptibility to immunity and Wnt signaling, and develops a PRS improving risk prediction.

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 RAPGEF1 as a gene modulating melanoma and nevi risk through RAS activation, using fine-mapping, expression data, and functional assays.

GFBioNet identifies genomic factors modulating trait-trait relationships in multi-omics data, revealing host genetics, microbial taxa, and mutations affecting biological networks.

The paper identifies three subtypes of NS-LUAD using RNA-seq data and develops a 60-gene signature that predicts survival across subgroups.