Edenberg Howard J, Liu Yunlong
Cold Spring Harb Protoc. 2009 Nov;2009(11):pdb.top62. doi: 10.1101/pdb.top62.
The genetics of complex diseases has been given a tremendous boost in recent years by the introduction of high-throughput laboratory methods that make it possible to approach larger questions in larger populations and to cover the genome more comprehensively. The ability to determine genotypes of many individuals accurately and efficiently has allowed genetic studies that cover more of the variation within individual genes, instead of focusing only on one or a few coding variants, and to do so in study samples of reasonable power. Chip-based genotyping assays, combined with knowledge of the patterns of coinheritance of markers (linkage disequilibrium [LD]), have stimulated genome-wide association studies (GWAS) of complex diseases. Recent successes of GWAS in identifying specific genes that affect risk for common diseases are dramatic illustrations of how improved technology can lead to scientific breakthroughs. A key issue in high-throughput genotyping is to choose the appropriate technology for your goals and for the stage of your experiment, being cognizant of your sample numbers and resources. This article introduces some of the commonly used methods of high-throughput single-nucleotide polymorphism (SNP) genotyping for different stages of genetic studies and briefly reviews some of the high-throughput sequencing methods just coming into use. It also mentions some recent developments in "next-generation" sequencing that will enable other kinds of studies. This article is not intended to be comprehensive, and because technology in this area is rapidly changing, our comments should be taken as a starting point for further investigation.
近年来,高通量实验室方法的引入极大地推动了复杂疾病遗传学的发展,这些方法使得在更大规模人群中研究更重大的问题、更全面地覆盖基因组成为可能。准确且高效地确定众多个体基因型的能力,使得遗传学研究能够涵盖单个基因内更多的变异,而非仅仅聚焦于一个或几个编码变异,并且能够在具备合理统计学效力的研究样本中做到这一点。基于芯片的基因分型检测,结合对标记共遗传模式(连锁不平衡[LD])的了解,推动了复杂疾病的全基因组关联研究(GWAS)。GWAS近期在识别影响常见疾病风险的特定基因方面所取得的成功,有力地例证了技术改进如何能够带来科学突破。高通量基因分型中的一个关键问题是,根据你的目标和实验阶段,同时考虑样本数量和资源,选择合适的技术。本文介绍了一些在遗传学研究不同阶段常用的高通量单核苷酸多态性(SNP)基因分型方法,并简要回顾了一些刚刚开始应用的高通量测序方法。文章还提及了“下一代”测序技术的一些最新进展,这些进展将推动其他类型的研究。本文并非旨在全面涵盖,并且由于该领域技术变化迅速,我们的评论应被视为进一步研究的起点。