Divisions of Renal Medicine and Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
J Nephrol. 2012 Nov-Dec;25(6):851-64. doi: 10.5301/jn.5000216.
The tools of modern molecular biology are evolving rapidly, resulting in vastly more efficient approaches to illuminating human genetic variations and their effects on common multifactorial disorders such as chronic kidney disease (CKD). Indeed, candidate gene association studies and genome-wide association studies (GWASs) have generated novel genetic variants in previously unrecognized biological pathways, highlighting disease mechanisms with a potential role in CKD etiology, morbidity and mortality. Nephrologists now need to find ways to make use of these advancements and meet the increasingly stringent requirements for valid study design, data handling and interpretation of genetic studies. Adding to our prior article in this journal, which introduced the basics of genotype-phenotype association studies in CKD, this second article focuses on how to ascertain robust and reproducible findings by applying adequate methodological and statistical approaches to genotype-phenotype studies in CKD populations. Moreover, this review will briefly discuss genotype-based risk prediction, pharmacotherapy, drug target identification and individualized treatment solutions, specifically highlighting potentially important findings in CKD patients. This increased knowledge will hopefully facilitate the exciting transition from conventional clinical medicine to gene-based medicine. However, before this can be accomplished, unsolved issues regarding the complex human genetic architecture as well technical and clinically oriented obstacles will have to be overcome. Additionally, new policies and standardized risk evaluations for genetic testing in the clinical setting will have to be established to guarantee that CKD patients are provided with high-quality genotype-guided counseling that will help to improve their poor outcomes.
现代分子生物学工具发展迅速,使得人们能够更有效地揭示人类遗传变异及其对常见多因素疾病(如慢性肾脏病(CKD))的影响。事实上,候选基因关联研究和全基因组关联研究(GWAS)已经在以前未被识别的生物学途径中产生了新的遗传变异,突出了疾病机制在 CKD 病因学、发病率和死亡率中的潜在作用。肾病学家现在需要找到利用这些进展的方法,并满足对遗传研究设计、数据处理和解释的日益严格的要求。除了我们之前在本杂志上发表的介绍 CKD 中基因型-表型关联研究基础的文章外,本文的重点是如何通过应用适当的方法学和统计学方法来确定 CKD 人群中基因型-表型研究的稳健和可重复的发现。此外,本文还将简要讨论基于基因型的风险预测、药物治疗、药物靶点识别和个体化治疗方案,特别是强调 CKD 患者中潜在的重要发现。这些增加的知识有望促进从传统临床医学向基于基因的医学的令人兴奋的转变。然而,在这之前,需要克服复杂的人类遗传结构以及技术和临床方面的障碍等未解决的问题。此外,还需要为临床环境中的遗传检测制定新的政策和标准化的风险评估,以确保为 CKD 患者提供高质量的基于基因型的咨询,从而帮助改善他们的不良预后。