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Compilation of a comprehensive gene panel for systematic assessment of genes that govern an individual's drug responses.

机译:汇编了全面的基因组,用于系统评估控制个体药物反应的基因。

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AIMS: Polymorphisms of genes involved in the pharmacokinetic and pharmacodynamic processes underlie the divergent drug responses among individuals. Despite some successes in identifying these polymorphisms, the candidate gene approach suffers from insufficient gene coverage whereas the genome-wide association approach is limited by less than ideal coverage of SNPs in some important genes. To expand the potential of the candidate approach, we aim to delineate a comprehensive network of drug-response genes for in-depth genetic studies. MATERIALS & METHODS: Pharmacologically important genes were extracted from various sources including literatures and web resources. These genes, along with their homologs and regulatory miRNAs, were organized based on their pharmacological functions and weighted by literature evidence and confidence levels. Their coverage was evaluated by analyzing three commercial SNP chips commonly used for genome-wide association studies: Affymetrix SNP array 6.0, Illumina HumanHap1M and Illumina Omni. RESULTS: A panel of drug-response genes was constructed, which contains 923 pharmacokinetic genes, 703 pharmacodynamic genes and 720 miRNAs. There are only 16.7% of these genes whose all known SNPs can be directly or indirectly (r(2) > 0.8) captured by the SNP chips with coverage of more than 80%. This is possibly because these SNPs chips have notably poor performance over rare SNPs and miRNA genes. CONCLUSION: We have compiled a panel of candidate genes that may be pharmacologically important. Using this knowledgebase, we are able to systematically evaluate genes and their variants that govern an individual's response to a given pharmaceutical therapy. This approach can serve as a necessary complement to genome-wide associations.
机译:目的:参与药物动力学和药效动力学过程的基因的多态性是个体间不同药物反应的基础。尽管在鉴定这些多态性方面取得了一些成功,但是候选基因方法仍受基因覆盖率不足的困扰,而全基因组范围内的关联方法受到某些重要基因中SNP覆盖率不足理想的限制。为了扩大候选方法的潜力,我们旨在描绘药物反应基因的全面网络,以进行深入的遗传研究。材料与方法:药理上重要的基因是从各种来源中提取的,包括文献和网络资源。这些基因,以及它们的同源物和调节性miRNA,是根据其药理功能进行组织的,并根据文献证据和置信度进行加权。通过分析通常用于全基因组关联研究的三种商业SNP芯片来评估其覆盖范围:Affymetrix SNP阵列6.0,Illumina HumanHap1M和Illumina Omni。结果:构建了一组药物反应基因,包含923个药代动力学基因,703个药效基因和720个miRNA。这些基因中只有16.7%的所有已知SNP可以被SNP芯片直接或间接捕获(r(2)> 0.8),覆盖率超过80%。这可能是因为这些SNP芯片比稀有SNP和miRNA基因的性能明显较差。结论:我们已经汇编了一组可能在药理上很重要的候选基因。使用此知识库,我们能够系统地评估控制个体对特定药物疗法反应的基因及其变体。这种方法可以作为全基因组关联的必要补充。

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