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

Area of Science:

• Pharmacovigilance
• Genetic Epidemiology
• Biostatistics

Background:

• Adverse drug reactions (ADRs) are a major public health concern, often identified late.
• Current observational studies for ADRs are susceptible to confounding factors.
• Genetic variants offer potential for early ADR prediction.

Purpose of the Study:

• To review the principles and applications of Mendelian randomization (MR) for predicting ADRs.
• To discuss challenges and future directions in applying MR for drug safety.
• To highlight MR's role in advancing personalized medicine and drug safety.

Main Methods:

• Mendelian randomization (MR) analysis.
• Utilizing genetic variants as instrumental variables.
• Causal inference in epidemiological studies.

Main Results:

• MR analysis can infer causality for ADRs using genetic predictors.
• MR mitigates confounding bias inherent in traditional observational studies.
• This approach enables prediction of ADRs prior to widespread clinical use.

Conclusions:

• MR is a powerful tool for proactive adverse drug reaction prediction.
• Harnessing MR can enhance drug safety assessments and personalized medicine.
• Further research and application of MR are crucial for public health.