Bahram Namjou

This study shows that EBNA2 activity is increased in MS patients, altering gene expression and chromatin accessibility in EBV-transformed B cells.

The paper presents a genetic resource of 15,684 individuals of African ancestry, demonstrating its utility in replicating and discovering disease associations.

This study identifies 21 novel genetic loci associated with keloids through a multi-ancestry GWAS, highlighting integrin signaling and fibrosis pathways.

This paper introduces PhenoPLIER, a method that maps gene-trait and drug associations into gene modules to reveal disease mechanisms and drug targets.

The paper selects and validates ten polygenic risk scores for clinical use in diverse populations, focusing on chronic diseases and addressing disparities in predictive performance.

This study identifies 20 genome-wide significant loci associated with serum IgA levels and finds genetic correlations with various immune and metabolic traits.

This study evaluates how ancestry, GWAS sample size, and LD reference panels affect BMI PRS performance across different age groups and ancestries.

This paper develops a trans-ancestry polygenic risk score for type 2 diabetes and validates it across diverse populations to improve equitable risk prediction.

The paper identifies pathogenic variants in arrhythmia genes in eMERGE-III participants and reclassifies variants of uncertain significance using functional studies.

The paper uses multi-ancestry biobank data and integrative methods to identify gene-disease associations across different ancestry groups, finding shared and ancestry-specific genetic links.

The paper identifies a dysfunctional enhancer linked to IRF8 expression through CRISPRa screening and shows its regulation by a lncRNA and DNA methylation.

The paper identifies a non-coding genetic variant associated with SLE that regulates miR-146a expression through a cell-type specific enhancer.

This study develops a polygenic and phenotypic risk score for PCOS using EHR data, showing improved detection and identifying shared metabolic and endocrine comorbidities.