APF2: an improved ensemble method for pharmacogenomic variant effect prediction.

ABSTRACT: Lack of efficacy or adverse drug response are common phenomena in pharmacological therapy causing considerable morbidity and mortality. It is estimated that 20-30% of this variability in drug response stems from variations in genes encoding drug targets or factors involved in drug disposition. Leveraging such pharmacogenomic information for the preemptive identification of patients who would benefit from dose adjustments or alternative medications thus constitutes an important frontier of precision medicine. Computational methods can be used to predict the functional effects of variant of unknown significance. However, their performance on pharmacogenomic variant data has been lackluster. To overcome this limitation, we previously developed an ensemble classifier, termed APF, specifically

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC11129946 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature