rs10821852 - RHOBTB1
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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muscle pain, weakness, or dark urine while on atorvastatin Low
early detection of statin-induced myalgia permits prompt intervention or therapy switch
report to prescriber within 1-2 weeks of symptom onset; seek immediate care for severe weakness
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muscle symptoms during atorvastatin therapy Low
rs10821852 is associated with 5.7-fold increased odds of statin-induced myalgia in atorvastatin users
mention this variant to your prescriber before starting or continuing atorvastatin