UNC Institute for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, NC, 27599-7361, USA.
Br J Clin Pharmacol. 2013 Sep;76(3):370-80. doi: 10.1111/bcp.12166.
Genome wide association studies (GWAS) provide an agnostic approach to identifying potential genetic variants associated with disease susceptibility, prognosis of survival and/or predictive of drug response. Although these techniques are costly and interpretation of study results is challenging, they do allow for a more unbiased interrogation of the entire genome, resulting in the discovery of novel genes and understanding of novel biological associations. This review will focus on the implications of GWAS in cancer therapy, in particular germ-line mutations, including findings from major GWAS which have identified predictive genetic loci for clinical outcome and/or toxicity. Lessons and challenges in cancer GWAS are also discussed, including the need for functional analysis and replication, as well as future perspectives for biological and clinical utility. Given the large heterogeneity in response to cancer therapeutics, novel methods of identifying mechanisms and biology of variable drug response and ultimately treatment individualization will be indispensable.
全基因组关联研究(GWAS)为鉴定与疾病易感性、生存预后和/或药物反应预测相关的潜在遗传变异提供了一种无偏见的方法。尽管这些技术成本高昂,且研究结果的解释具有挑战性,但它们确实允许更全面地检测整个基因组,从而发现新的基因,并了解新的生物学关联。本文将重点讨论 GWAS 在癌症治疗中的意义,特别是种系突变,包括主要 GWAS 的发现,这些发现确定了与临床结局和/或毒性相关的预测性遗传位点。还讨论了癌症 GWAS 的经验教训和挑战,包括对功能分析和复制的需求,以及生物学和临床应用的未来前景。鉴于癌症治疗反应的高度异质性,识别可变药物反应机制和生物学的新方法以及最终实现个体化治疗将是必不可少的。