Taylor B. Cavazos

The paper systematically identifies and characterizes cancer-emergent oncRNAs across 32 tumor types, showing they act as blood-accessible molecular barcodes for cancer identity and prognosis.

Exai-1 is a transformer-based model that integrates RNA sequence and expression data to improve cfRNA analysis for disease detection.

This study compares eQTL discovery in African and European ancestry cohorts, finding more eQTLs in African samples and improved GWAS variant-to-gene mapping using African eQTLs.

This study identifies 22 genetic variant-phenotype associations linked to multiple primary cancers using whole-exome sequencing in two large multi-ancestry cohorts.

This study evaluates polygenic risk scores across 17 cancer types in two large cohorts, identifying cross-cancer associations and non-cancer phenotype links.

This study identifies six novel genetic loci, including two rare variants, and shows that a polygenic risk score strongly predicts prostate cancer risk.

This study shows that including variants from African ancestry populations improves the accuracy and fairness of polygenic risk scores across diverse populations.

This study identifies genetic loci and amino acid residues associated with immune response to viral infections using serological data from the UK Biobank.

The paper conducts pan-cancer GWAS in two cohorts, identifying novel risk variants and shared genetic basis across 18 cancer types.