A Systematic Review of Polygenic Models for Predicting Drug Outcomes.

ABSTRACT: Polygenic models have emerged as promising prediction tools for the prediction of complex traits. Currently, the majority of polygenic models are developed in the context of predicting disease risk, but polygenic models may also prove useful in predicting drug outcomes. This study sought to understand how polygenic models incorporating pharmacogenetic variants are being used in the prediction of drug outcomes. A systematic review was conducted with the aim of gaining insights into the methods used to construct polygenic models, as well as their performance in drug outcome prediction. The search uncovered 89 papers that incorporated pharmacogenetic variants in the development of polygenic models. It was found that the most common polygenic models were constructed for drug dosing predictions

SUBMITTER: Siemens A 

PROVIDER: S-EPMC9505711 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature