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Comparison of the power and accuracy of biallelic and microsatellite markers in population-based gene-mapping methods.

机译:基于人群的基因定位方法中双等位基因和微卫星标记的功能和准确性比较。

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摘要

Because of their great abundance and amenability to fully automated genotyping, single-nucleotide polymorphisms (SNPs) and simple insertion/deletion are emerging as a new generation of markers for positional cloning. Although the efficiency and cost associated with the markers are important in the mapping of human disease genes, the power to detect the linkage between the marker and the disease locus, as well as the accuracy of the estimation of the map location of the disease gene, dictate the selection of the markers. Both the power and the accuracy depend not only on the type of the markers but also on other factors, such as the age of the disease mutation, the magnitude of the genetic effect, the marker-allele distribution in the population, mutation rates of marker loci, the frequency of the disease allele, the recombination fraction, and the methods for mapping the human disease genes. In this article, we develop a mathematical framework and the analytical formulas for calculation of the power and the accuracy and investigate the impact that the aforementioned factors have on the power and the accuracy, by using two population-based gene-mapping methods-likelihood-based linkage-disequilibrium mapping and the transmission/disequilibrium test, for both biallelic SNPs and microsatellites. These studies provide not only guidance in selection of the markers and in the design of the sample scheme for positional cloning but also insight into the biological bases of the mapping of human disease genes.
机译:由于它们的丰度和对全自动基因分型的适应性,单核苷酸多态性(SNP)和简单的插入/缺失已成为新一代的位置克隆标记。尽管与标记物相关的效率和成本在人类疾病基因的作图中很重要,但是检测标记物和疾病位点之间的联系的能力以及估计疾病基因的图谱位置的准确性,决定标记的选择。功效和准确性不仅取决于标记的类型,还取决于其他因素,例如疾病突变的年龄,遗传效应的程度,群体中标记-等位基因的分布,标记的突变率基因座,疾病等位基因的频率,重组率以及绘制人类疾病基因的方法。在本文中,我们使用两种基于人群的基因映射方法-可能性-来开发用于计算功效和准确性的数学框架和解析公式,并研究上述因素对功效和准确性的影响。基于等位基因SNP和微卫星的连锁不平衡作图和传输/不平衡测试。这些研究不仅为标记的选择和位置克隆样品方案的设计提供了指导,而且为人类疾病基因作图的生物学基础提供了见识。

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  • 作者

    Xiong, M; Jin, L;

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  • 年度 1999
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  • 原文格式 PDF
  • 正文语种 en
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