Coppola Giovanni, Geschwind Daniel H
Neurogenetics Program, Center for Autism Research, University of California Los Angeles, CA 90095, USA.
Nat Clin Pract Neurol. 2006 Mar;2(3):147-58. doi: 10.1038/ncpneuro0133.
The ability to perform large-scale analysis of the genome at the level of gene sequence, gene copy number and messenger RNA transcript expression characterizes the post-genomic era. In the past decade, the microarray-based approach has emerged as one of the major tools in this area of genome biology, contributing to advances in the understanding of Mendelian and complex neurological disorders. Despite technical issues regarding design, data analysis and validation that have to be addressed in the planning and interpretation of a microarray study, microarray-based approaches for studying transcript expression, single-nucleotide-polymorphism genotyping and gene resequencing are becoming more widely adopted. Genomic microarrays are providing an unprecedented opportunity to dissect the genetic risk for complex neurological disorders. Numerous clinical and preclinical applications are likely to dominate the ambitious microarray agenda within the next decade.
在基因序列、基因拷贝数和信使核糖核酸转录本表达水平上对基因组进行大规模分析的能力是后基因组时代的特征。在过去十年中,基于微阵列的方法已成为基因组生物学这一领域的主要工具之一,推动了对孟德尔式和复杂神经系统疾病认识的进展。尽管在微阵列研究的规划和解读中必须解决有关设计、数据分析和验证的技术问题,但用于研究转录本表达、单核苷酸多态性基因分型和基因重测序的基于微阵列的方法正得到更广泛的应用。基因组微阵列为剖析复杂神经系统疾病的遗传风险提供了前所未有的机会。在未来十年内,众多临床和临床前应用可能会主导这个宏伟的微阵列议程。