ИСТИНА

The ischemic stroke (IS) is a neurological deficit of sudden onset due to brain infarction. It is the primary cause of acquired disability in adults and a leading cause of death. The disease is multifactorial where genetic factors contribute substantially. Numerous genetic polymorphisms are believed to raise the risk of IS, each having a small effect size. The advent of genome-wide genotyping caused a wave of genome-wide association studies (GWAS). At least ten candidate-genes associated with IS are described in the literature. The machine learning approaches looks quite promising here as well. In this research we present the results of identification of single nucleotide polymorphisms (SNPs) associated with the development of IS in representatives of the Eastern Slavs with the use of GWAS and ML approaches.