Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-Sen University, Guangzhou, China.
Precision Medical Lab Center, People's Hospital of Yangjiang, Yangjiang, China.
J Clin Lab Anal. 2023 Mar;37(5):e24855. doi: 10.1002/jcla.24855. Epub 2023 Mar 14.
Pharmacogenomics (PGx) examines the influence of genetic variation on drug responses. With more and more Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines published, PGx is gradually shifting from the reactive testing of single gene toward the preemptive testing of multiple genes. But the profile of PGx genes, especially for the intra-country diversity, is not well understood in China.
We retrospectively collected preemptive PGx testing data of 22,918 participants from 20 provinces of China, analyzed frequencies of alleles, genotypes and phenotypes of pharmacogenes, predicted drug responses for each participant, and performed comparisons between different provinces.
After analyzing 15 pharmacogenes from CPIC guidelines of 31 drugs, we found that 99.97% of individuals may have an atypical response to at least one drug; the participants carry actionable genotypes leading to atypical dosage recommendation for a median of eight drugs. Over 99% of the participants were recommended a decreased warfarin dose based on genetic factors. There were 20 drugs with high-risk ratios from 0.18% to 58.25%, in which clopidogrel showed the highest high-risk ratio. In addition, the high-risk ratio of rasburicase in GUANGDONG (risk ratio (RR) = 13.17, 95%CI:4.06-33.22, p < 0.001) and GUANGXI (RR = 23.44, 95%CI:8.83-52.85, p < 0.001) were significantly higher than that in all provinces. Furthermore, the diversity we observed among 20 provinces suggests that preemptive PGx testing in different geographical regions in China may need to pay more attention to specific genes. These results emphasize the importance of preemptive PGx testing and provide essential evidence for promoting clinical implementation in China.
药物基因组学(PGx)研究遗传变异对药物反应的影响。随着越来越多的临床药物基因组学实施联盟(CPIC)指南的发布,PGx 正逐渐从对单个基因的反应性检测转向对多个基因的预测性检测。但在中国,PGx 基因的概况,尤其是国内的基因多样性,还没有得到很好的了解。
我们回顾性地收集了来自中国 20 个省份的 22918 名参与者的预测性 PGx 检测数据,分析了药物基因的等位基因、基因型和表型频率,预测了每个参与者的药物反应,并对不同省份进行了比较。
对 CPIC 指南中 31 种药物的 15 个药物基因进行分析后,我们发现 99.97%的个体可能对至少一种药物存在非典型反应;参与者携带可导致非典型剂量推荐的作用性基因型的药物中位数为 8 种。基于遗传因素,超过 99%的参与者被建议减少华法林的剂量。有 20 种药物的风险比在 0.18%至 58.25%之间,其中氯吡格雷的风险比最高。此外,广东(风险比(RR)=13.17,95%CI:4.06-33.22,p<0.001)和广西(RR=23.44,95%CI:8.83-52.85,p<0.001)的别嘌醇风险比明显高于全国其他省份。此外,我们在 20 个省份观察到的多样性表明,在中国不同地理区域进行预测性 PGx 检测可能需要更加关注特定的基因。这些结果强调了预测性 PGx 检测的重要性,并为在中国促进临床实施提供了重要依据。