• Postgrad Med J · Jan 2025

    Insights into drug adverse reactions prediction through Mendelian randomization: a review.

    • Zhuanqing Huang, Hui Gong, Xuemin Sun, Wenqi Yi, Shiyang Liang, Sen Yang, Qi Sun, and Xiaochuan Yan.
    • Department of Pharmacy, The No. 944 Hospital of Joint Logistic Support Force of PLA, 735099, Jiuquan, Gansu, China.
    • Postgrad Med J. 2025 Jan 31.

    AbstractAdverse drug reactions pose a significant threat to patient safety and public health and often become apparent only after widespread clinical use. Mendelian randomization (MR) analysis is a valuable tool that can be used to infer causality by using genetic variants as instrumental variables, which can predict the occurrence of adverse drug reactions before they occur. Compared with traditional observational studies, MR Analysis can reduce the potential bias of confounding factors. This article reviews the principles of MR Analysis and its application in the prediction of adverse drug reactions, the challenges and future directions, and summarizes how to harness the power of this innovative epidemiological method to put us at the forefront of improving drug safety assessment and personalized medicine.© The Author(s) 2025. Published by Oxford University Press on behalf of Fellowship of Postgraduate Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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