Abstract
Purpose
A meta-analysis was performed to evaluate the correlation between single-nucleotide polymorphisms (SNPs) and risk of statin-induced myopathy (SIM).
Methods
We retrieved the studies published on SIM until April 2019 from the PubMed, Embase, and Cochrane Library databases. We collected data from 32 studies that analyzed 10 SNPs in five genes and included 21,692 individuals and nine statins.
Results
The analysis of the heterozygous (p = 0.017), homozygous (p = 0.002), dominant (p = 0.005), and recessive models (p = 0.009) of SLCO1B1 rs4149056 showed that this SNP increases the risk of SIM. Conversely, heterozygous (p = 0.048) and dominant models (p = 0.030) of SLCO1B1 rs4363657 demonstrated that this SNP is associated with a reduced risk of SIM. Moreover, an increased risk of SIM was predicted for carriers of the rs4149056 C allele among simvastatin-treated patients, whereas carriers of the GATM rs9806699 A allele among rosuvastatin-treated patients had a lower risk of SIM.
Conclusion
The meta-analysis revealed that the rs4149056 and rs4363657 SNPs in SLCO1B1 and the rs9806699 SNP in GATM are correlated with the risk of SIM.
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Data Availability
The authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.
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Funding
This study was supported by grants from the National Key R&D Program of China (No. 2016YFC0904900), the National Natural Science Foundation (No. 81872940 and No. 81973395) of China, the Natural Science Foundation of Beijing Municipality (No. 7171012), and the National Science and Technology Major Projects for “Major New Drugs Innovation and Development” of China (No. 2017ZX09304028 and No. 2017ZX09101001).
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QX and XDZ wrote the manuscript; QX and YMC designed the research; QFX, KH, ZZ, LM, and JJ performed the research; GYM, ZW, and ZYL analyzed the data; ZYL and XDZ contributed new reagents/analytical tools.
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Xiang, Q., Zhang, XD., Mu, GY. et al. Correlation between single-nucleotide polymorphisms and statin-induced myopathy: a mixed-effects model meta-analysis. Eur J Clin Pharmacol 77, 569–581 (2021). https://doi.org/10.1007/s00228-020-03029-1
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DOI: https://doi.org/10.1007/s00228-020-03029-1