I. King Jordan

The paper identifies African ancestry-enriched variants in the GATM gene associated with elevated serum creatinine levels, explaining higher levels in African ancestry individuals.

The paper analyzes genetic ancestry and population structure in the All of Us Research Program cohort, revealing diverse ancestry patterns and population structure.

CODIGO releases genomic data from 1,441 Colombian samples, revealing ancestry clusters and genetic associations with health traits and pharmacogenomics.

This paper uses explainable machine learning to identify and quantify T2D risk factors contributing to health disparities among different racial and ethnic groups in the All of Us research program.

The paper develops inverse probability weights to reduce volunteer bias in the All of Us cohort, improving its representativeness and external validity.

Rye infers genetic ancestry at biobank scale with high accuracy and 50x faster runtime than ADMIXTURE on UK Biobank data.

The paper assesses the utility of genetic ancestry for pharmacogenomic risk stratification compared to self-identified race/ethnicity in a U.S. cohort.

STing provides an accurate and ultrafast genomic profiling tool for microbial pathogens using exact sequence matches, outperforming existing methods in speed, accuracy, and ease of use.

The paper identifies admixture-enabled selection in Latin American populations, finding evidence of African ancestry enrichment at immune-related loci and polygenic selection for traits related to immunity and inflammation.

The paper analyzes Native American ancestry in three US populations, revealing distinct patterns linked to historical migration and settlement.

The paper identifies phenotypic cues and genetic architecture underlying ancestry-based assortative mating in admixed Latin American populations using genome-wide haplotype analysis.

The paper develops a bioinformatic tool to identify new T6SS gene clusters in V. cholerae and demonstrates the function of a newly discovered effector protein.