rs10981237 - SUSD1
Magnitude 4.5 · 1 study on file
Reported associations
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Robust Performance of Potentially Functional SNPs in Machine Learning Models for the Prediction of Atorvastatin-Induced Myalgia - Unknown journal (n.d.) · Unknown authors · PubMed 33967749
ABSTRACT: 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 value of potentially functional single nucleotide polymorphisms (pfSNPs) and employs six machine learning algorithms to identify the combination of SNPs that best predict myalgia. Methods: Whole genome sequencing of 183 Chinese, Malay and Indian patients from Singapore was conducted to identify genetic variants associated with atorvastatin induced myalgia. To adjust for confounding factors, demographic and clinical characteristics were also examined for their association with myalgia. T
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Drug interactions
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atorvastatin Moderate
Homozygous rs10981237 carriers have 21.67-fold increased odds of atorvastatin-induced myalgia
Switch to alternative statin such as pravastatin or rosuvastatin
Screening
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muscle symptoms on statin therapy Moderate
SUSD1 rs10981237 variant is associated with statin-induced myalgia risk requiring close monitoring
Report any muscle pain, soreness, or weakness to prescriber immediately