Landon Melissa R
Boston University, USA.
J Biolaw Bus. 2005;8(3):28-36.
The completion of the human genome project and the accompanying biotechnological revolution hold great promise for the creation of pharmaceutical agents to combat not only previously incurable diseases, but also those for which therapeutics exist, yet they either cause severe adverse effects or exhibit no benefit in subsets of the population. In many instances variation in therapy response can be attributed to genetic differences, more particularly single nucleotide polymorphism (SNPs). Detection of the genetic differences which affect drug response, commonly referred to as pharmacogenomics, may result in further classification of diseases, and consequently, the development of 'personalized' therapies. While of potential great benefit, the widespread use of pharmacogenomic data poses social, ethical, and economic risks that need to be addressed by regulatory agencies such as the Food and Drug Administration (FDA). This paper explores some of the common problems associated with the use of pharmacogenomic data including validation of the data, patient confidentiality, social stratification, economic risks faced by pharmaceutical and insurance companies, and offers suggestions for regulatory procedures to ensure the appropriate use of the data in drug development and clinical trials.
人类基因组计划的完成以及随之而来的生物技术革命,为开发药物制剂带来了巨大希望,这些药物不仅能对抗先前无法治愈的疾病,还能治疗那些虽有治疗方法但会引起严重不良反应或在部分人群中无疗效的疾病。在许多情况下,治疗反应的差异可归因于基因差异,尤其是单核苷酸多态性(SNP)。检测影响药物反应的基因差异,通常称为药物基因组学,可能会导致疾病的进一步分类,从而开发出“个性化”疗法。尽管药物基因组学数据具有潜在的巨大益处,但它的广泛使用带来了社会、伦理和经济风险,需要食品药品监督管理局(FDA)等监管机构加以解决。本文探讨了与使用药物基因组学数据相关的一些常见问题,包括数据验证、患者保密、社会分层、制药公司和保险公司面临的经济风险,并就监管程序提出建议,以确保在药物开发和临床试验中合理使用这些数据。