Randi K. Johnson

MetaboXcan predicts plasma metabolites from genetic data and associates them with complex traits, identifying disease risk genes and metabolites in chronic kidney disease.

The paper examines immune cell profiles around islet autoimmunity seroconversion in children with and without type 1 diabetes, finding differences in immune cell ratios that may reflect immune maturation disruptions.

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

This paper develops a pipeline for translating type 1 diabetes polygenic risk scores into clinical use, showing they can distinguish type 1 from type 2 diabetes and identify high-risk individuals.

This paper introduces a rapid algorithm for pedigree inference in endogamous populations, accurately distinguishing relationships and handling reticulations.

The paper develops gene expression prediction models for asthma-related tissues in African-ancestry populations and identifies 17 candidate causal asthma genes using transcriptome-wide association study.

Summix2 uses mixture modeling to estimate and adjust for substructure in genetic summary data, improving the robustness and equity of research using diverse datasets.