Todd L. Edwards

TRACE uses a fine-tuned biomedical language model to identify drug-gene pairs from TWAS data, achieving high recovery rates in validation studies.

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

This study identifies 22 novel gene-sleep duration interaction loci for blood pressure traits across 811,405 individuals, highlighting distinct genetic influences of short and long sleep on cardiovascular health.

The paper identifies 57 druggable targets for MASLD using genetic data and evaluates their therapeutic potential through Mendelian randomization and structural modeling.

This study uses GWAS and eQTL data to identify genetic effects on PUFA levels in RBCs and plasma, finding shared variants and differences in gene expression impacts.

The paper develops a clinical algorithm to identify individuals with G6PD p.Val68Met variant at risk for diabetes undertreatment using routine lab measurements.

This study shows that platelet inhibition increases rupture risk in early abdominal aortic aneurysm models in mice.

This study identifies 17 genetic loci associated with sleep duration and lipid levels, offering potential druggable targets for dyslipidemia in individuals with sleep disturbances.

This study investigates the association between polygenic risk scores for blood pressure traits and preeclampsia, finding shared genetic architecture but no improvement in prediction models.

This paper develops a genetically informed drug-repurposing pipeline for diabetes using EHRs and validates two anti-hypertensive classes as glycemic regulators.

This study compares the genetic architecture of heart failure with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF), finding distinct genetic associations and highlighting HFpEF's heterogeneity.

This study conducts a trans-ancestry GWAS using chronic ALT elevation as a proxy for NAFLD, identifies 77 significant loci, and validates 17 SNPs with histology and imaging data, revealing genetic links to metabolic and inflammatory traits.

This study identifies 144 genetic loci associated with abdominal aortic aneurysm and highlights PCSK9 as a therapeutic target through Mendelian Randomization and pre-clinical validation.

The paper maps genetic variants to cell types in the kidney to identify disease mechanisms and drug targets.

Neptune delivers structured genomic data to EHR systems through customizable reports and variant reanalysis, supporting over 15,000 clinical reports.

This study identifies robust gene-phenotype associations by analyzing rare loss-of-function variants in exome-wide data linked to electronic health records.

Multi-ethnic type 2 diabetes (T2D) meta-analysis of 228,499 cases and 1,178,783 controls finds 318 previously unreported loci, 804 expression-colocalized genes, and 13 SNP-by-T2D vascular-outcome interactions.

The paper examines how changes in genetic admixture over time affect heterozygosity and health outcomes in a southeastern U.S. population.

The paper develops S-PrediXcan to compute gene expression associations from GWAS summary data and applies it to 44 GTEx tissues and 100+ phenotypes, finding tissue-specific effects and colocalized associations.