A Systematic Review of Polygenic Models for Predicting Drug Outcomes

A Systematic Review of Polygenic Models for Predicting Drug Outcomes

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 understa...

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Bibliographic Details
Main Authors: Angela Siemens, Spencer J. Anderson, S. Rod Rassekh, Colin J. D. Ross, Bruce C. Carleton
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Personalized Medicine
Subjects:
pharmacogenomics
polygenic models
drug outcomes
Online Access:https://www.mdpi.com/2075-4426/12/9/1394

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