Correlation between single-nucleotide polymorphisms and statin-induced myopathy: a mixed-effects model meta-analysis

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 fr...

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Veröffentlicht in:European journal of clinical pharmacology 2021-04, Vol.77 (4), p.569-581
Hauptverfasser: Xiang, Qian, Zhang, Xiao-Dan, Mu, Guang-Yan, Wang, Zhe, Liu, Zhi-Yan, Xie, Qiu-Fen, Hu, Kun, Zhang, Zhuo, Ma, Ling-Yue, Jiang, Jie, Cui, Yi-Min
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Sprache:eng
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Zusammenfassung: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.
ISSN:0031-6970
1432-1041
DOI:10.1007/s00228-020-03029-1