George A, Marquis-Nicholson R, Zhang L T, Love J M, Ashton F, Aftimos S, Hayes I, Williams L C, Love D R
Diagnostic Genetics, LabPLUS, Auckland, New Zealand.
Br J Biomed Sci. 2011;68(2):100-8. doi: 10.1080/09674845.2011.11730334.
The analysis of the human genome has largely been undertaken in a research environment, but recent developments in technology and associated workflow have allowed diagnostic laboratories to interrogate DNA at significantly improved levels of resolution. Principally, whole genome-based analysis of copy number changes using microarrays has led to this method replacing conventional karyotyping as a routine diagnostic workhorse. The resolution offered by microarrays is an improvement of at least an order of magnitude compared to karyotyping, but it comes at a cost in terms of the time spent in data interpretation. Overall, however, the die has been cast and cytogeneticists need to become familiar with the tools use by molecular geneticists and bioinformaticists. The following review provides a brief background to array technology, but uses a series of case studies to illustrate the usefulness and challenges of interpreting array data.
人类基因组分析大多是在研究环境中进行的,但技术和相关工作流程的最新进展使诊断实验室能够在分辨率显著提高的水平上对DNA进行检测。主要是,使用微阵列对拷贝数变化进行全基因组分析已使该方法取代传统核型分析成为常规诊断的主要手段。与核型分析相比,微阵列提供的分辨率至少提高了一个数量级,但在数据解读所花费的时间方面有一定代价。然而,总体而言,大势已定,细胞遗传学家需要熟悉分子遗传学家和生物信息学家所使用的工具。以下综述提供了阵列技术的简要背景,但通过一系列案例研究来说明解读阵列数据的实用性和挑战。