Abstract
The development of new drugs is a time consuming and costly process, so the use of approved drugs for new indications (repurposing) is a promising area of development for the pharmaceutical industry. There are two main approaches for drug development: experimental and computational. Currently, due to the availability of large data sets, computational methods, including those based on the use of artificial intelligence, are being actively developed. The widespread use of genetic data in drug development and repurposing has led to the development of such a field of science as pharmacogenetics. The availability of genome-wide association analyses and transcriptome data allow the Mendelian randomization method to be applied to determine the potential for drug repurposing. This article briefly describes the Mendelian randomization method and provides examples of its application to assess the effect of drugs on various diseases.
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