Common Treatment, Common Variant: Evolutionary Prediction of Functional Pharmacogenomic Variants.

ABSTRACT: Pharmacogenomics holds the promise of personalized drug efficacy optimization and drug toxicity minimization. Much of the research conducted to date, however, suffers from an ascertainment bias towards European participants. Here, we leverage publicly available, whole genome sequencing data collected from global populations, evolutionary characteristics, and annotated protein features to construct a new in silico machine learning pharmacogenetic identification method called XGB-PGX. When applied to pharmacogenetic data, XGB-PGX outperformed all existing prediction methods and identified over 2000 new pharmacogenetic variants. While there are modest pharmacogenetic allele frequency distribution differences across global population samples, the most striking distinction is between the relati

SUBMITTER: Scheinfeldt LB 

PROVIDER: S-EPMC7919641 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature