Plichta Jennifer K, Griffin Molly, Thakuria Joseph, Hughes Kevin S
Oncology (Williston Park). 2016 Sep 15;30(9):787-99.
The advent of next-generation sequencing, and its transition further into the clinic with the US Food and Drug Administration approval of a cystic fibrosis assay in 2013, have increased the speed and reduced the cost of DNA sequencing. Coupled with a historic ruling by the Supreme Court of the United States that human genes are not patentable, these events have caused a seismic shift in genetic testing in clinical medicine. More labs are offering genetic testing services; more multigene panels are available for gene testing; more genes and gene mutations are being identified; and more variants of uncertain significance, which may or may not be clinically actionable, have been found. All these factors, taken together, are increasing the complexity of clinical management. While these developments have led to a greater interest in genetic testing, risk assessment, and large-scale population screening, they also present unique challenges. The dilemma for clinicians is how best to understand and manage this rapidly growing body of information to improve patient care. With millions of genetic variants of potential clinical significance and thousands of genes associated with rare but well-established genetic conditions, the complexities of genetic data management clearly will require improved computerized clinical decision support tools, as opposed to continued reliance on traditional rote, memory-based medicine.
随着新一代测序技术的出现,以及2013年美国食品药品监督管理局批准一项囊性纤维化检测方法,使其进一步进入临床应用,DNA测序的速度加快,成本降低。再加上美国最高法院做出的一项具有历史意义的裁决,即人类基因不可授予专利,这些事件在临床医学的基因检测领域引发了一场巨变。越来越多的实验室提供基因检测服务;越来越多的多基因检测板可用于基因检测;越来越多的基因和基因突变被识别出来;并且发现了更多意义不明确的变异,这些变异可能具有临床可操作性,也可能不具有临床可操作性。所有这些因素加在一起,正在增加临床管理的复杂性。虽然这些进展引发了人们对基因检测、风险评估和大规模人群筛查的更大兴趣,但它们也带来了独特的挑战。临床医生面临的困境是如何最好地理解和管理这一迅速增长的信息体系,以改善患者护理。鉴于有数百万种具有潜在临床意义的基因变异以及数千种与罕见但已明确的遗传疾病相关的基因,基因数据管理的复杂性显然将需要改进的计算机化临床决策支持工具,而不是继续依赖传统的机械、基于记忆的医学。