Nava Ehsan

The paper introduces Pantry, a framework for generating diverse RNA phenotypes from RNA-seq data and integrating them with genetic data, leading to increased gene-trait association discoveries.

The paper introduces aFC-n, a method to improve eQTL effect size estimation and gene expression prediction, revealing significant residual allelic imbalance in many genes.

The paper identifies cis-QTLs and eQTLs in HS rats across five brain regions, finds colocalization with human GWAS results, and shows higher eQTL density compared to human data.

The paper uses long-read RNA-seq data to identify new transcripts and develop a tool to analyze genetic effects on transcript structure, revealing insights into splicing regulation and variant interpretation.

Genome-wide association study and integrative analyses identify 27 genes in inflammation and coagulation pathways linked to COVID-19 hospitalization risk and symptomology.

This study identifies a genetic variant near CXCL12 associated with increased susceptibility to HIV-related non-Hodgkin lymphoma.