Robust Performance of Potentially Functional SNPs in Machine Learning Models for the Prediction of Atorvastatin-Induced Myalgia

• Главные авторы: Brandon N. S. Ooi (Автор), Raechell (Автор), Ariel F. Ying (Автор), Yong Zher Koh (Автор), Yu Jin (Автор), Sherman W. L. Yee (Автор), Justin H. S. Lee (Автор), Samuel S. Chong (Автор), Jack W. C. Tan (Автор), Jianjun Liu (Автор), Caroline G. Lee (Автор), Chester L. Drum (Автор)
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• Опубликовано: Frontiers Media S.A., 2021-04-01T00:00:00Z.
• Предметы: article
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Background:Statins can cause muscle symptoms resulting in poor adherence to therapy and increased cardiovascular risk. We hypothesize that combinations of potentially functional SNPs (pfSNPs), rather than individual SNPs, better predict myalgia in patients on atorvastatin. This study assesses the va...