Michelle Whirl‐Carrillo

The paper reports NAT2 star allele frequencies across three biobanks, identifying common alleles and population-specific differences in metabolizer phenotypes.

The paper evaluates the frequency and impact of pharmacogenetic alleles in a diverse biobank population, finding high prevalence of actionable alleles and disparities by ancestry.

The paper analyzes pharmacogenetics in the UK Biobank, finding that most individuals may have atypical drug responses and non-European populations have more deleterious variants.

This paper introduces a deep learning model, Hubble.2D6, to predict CYP2D6 haplotype function with 88% accuracy, aiding in drug response prediction.

The paper introduces a standardized biogeographic grouping system for pharmacogenetic research to improve consistency in reporting allele frequency variability across populations.