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The search for genetic risk factors of ischemic stroke with the genome-wide association study and machine learning methodsстатья Краткое сообщение
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 1 февраля 2021 г.
- Авторы: Khvorykh Gennady, Rogacheva Margarita, Sharypov Ruslan, Khrunin Andrey, Dyakonov Aleksandr, Limborska Svetlana, Fedorov Alexei
- Журнал: BMC Bioinformatics
- Том: 21
- Номер: 567
- Год издания: 2020
- Издательство: BioMed Central
- Местоположение издательства: London
- Номер статьи: O12
- DOI: 10.1186/s12859-020-03838-2
- Аннотация: 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 have a certain contribution. Numerous genetic polymorphisms are believed to increase the risk of IS. The advent of genome-wide genotyping caused a wave of genome-wide association studies (GWAS). At least ten candidate-genes associated with IS were previously described. Here we present the first round findings of single nucleotide polymorphisms (SNPs) associated with the development of IS in individuals of the Eastern Slavic ancestry. The results were obtained with GWAS and machine learning (ML) approaches.
- Добавил в систему: Дьяконов Александр Геннадьевич