Ghosh S, Karanjawala Z E, Hauser E R, Ally D, Knapp J I, Rayman J B, Musick A, Tannenbaum J, Te C, Shapiro S, Eldridge W, Musick T, Martin C, Smith J R, Carpten J D, Brownstein M J, Powell J I, Whiten R, Chines P, Nylund S J, Magnuson V L, Boehnke M, Collins F S
Positional Cloning Section, National Institutes of Health, Bethesda, Maryland 20892, USA.
Genome Res. 1997 Feb;7(2):165-78. doi: 10.1101/gr.7.2.165.
Large-scale genotyping is required to generate dense identity-by-descent maps to map genes for human complex disease. In some studies the number of genotypes needed can approach or even exceed 1 million. Generally, linkage and linkage disequilibrium analyses depend on clear allele identification and subsequent allele frequency estimation. Accurate grouping or categorization of each allele in the sample (allele calling or binning) is therefore an absolute requirement. Hence, a genotyping system that can reliably achieve this is necessary. In the case of affected sib-pair analysis without parents, the need for accurate allele calling is even more critical. We describe methods that permit precise sizing of alleles across multiple gels using the fluorescence-based, Applied Biosystems (ABI) genotyping technology and discuss ways to reduce genotyping error rates. Using database utilities, we show how to minimize intergel allele size variation, to combine data effectively from different models of ABI sequencing machines, and automatically bin alleles. The final data can then be converted into a format ready for analysis by statistical genetic packages such as MENDEL.
为了生成用于绘制人类复杂疾病基因图谱的密集的同源等位基因图谱,需要进行大规模基因分型。在一些研究中,所需的基因型数量可能接近甚至超过100万个。一般来说,连锁分析和连锁不平衡分析依赖于清晰的等位基因识别以及随后的等位基因频率估计。因此,准确地对样本中的每个等位基因进行分组或分类(等位基因分型或分箱)是绝对必要的。因此,需要一个能够可靠实现这一目标的基因分型系统。在无父母的患病同胞对分析中,准确的等位基因分型需求更为关键。我们描述了使用基于荧光的应用生物系统公司(ABI)基因分型技术在多个凝胶上精确确定等位基因大小的方法,并讨论了降低基因分型错误率的方法。利用数据库实用程序,我们展示了如何最小化凝胶间等位基因大小变异,如何有效地合并来自不同型号ABI测序仪的数据,以及如何自动对等位基因进行分箱。最终数据随后可以转换为可供诸如MENDEL等统计遗传软件包分析的格式。