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在人类和动物遗传学中使用DNA池的新型连锁图谱绘制方法。I. 复杂疾病基因座的检测

Novel linkage mapping approach using DNA pooling in human and animal genetics. I. Detection of complex disease loci.

作者信息

Pareek Chandra S, Pareek Ravi S, Walawski Krzysztof

机构信息

Department of Animal Genetics, University of Warmia and Mazury in Olsztyn, Poland.

出版信息

J Appl Genet. 2002;43(2):175-92.

Abstract

DNA pooling is a potential methodology for genetic loci with small effect contributing to complex diseases and quantitative traits. This is accomplished by the rapid preliminary screening of the genome for the allelic association with the most common class of polymorphic short tandem repeat markers. The methodology assumes as a common founder for the linked disease locus of interest and searches for a region of a chromosome shared between affected individuals. The general theory of DNA pooling basically relies on the observed differences in the allelic distribution between pools from affected and unaffected individuals, including a reduction in the number of alleles in the affected pool, which indicate the sharing of a chromosomal region. The power of statistic for associated linkage mapping can be determined using two recently developed strategies, firstly, by measuring the differences of allelic image patterns produced by two DNA pools of extreme character and secondly, by measuring total allele content differences by comparing between two pools containing large numbers of DNA samples. These strategies have effectively been utilized to identify the shared chromosomal regions for linkage studies and to investigate the candidate disease loci for fine structure gene mapping using allelic association. This paper outlines the utilization of DNA pooling as a potential tool to locate the complex disease loci, statistical methods for accurate estimates of allelic frequencies from DNA pools, its advantages, drawbacks and significance in associate linkage mapping using pooled DNA samples.

摘要

DNA池是一种用于研究对复杂疾病和数量性状有微小影响的基因座的潜在方法。这是通过对基因组进行快速初步筛选,以寻找与最常见的多态性短串联重复标记的等位基因关联来实现的。该方法假设感兴趣的连锁疾病基因座有一个共同的奠基者,并在受影响个体之间寻找共享的染色体区域。DNA池的一般理论基本上依赖于观察到的受影响个体和未受影响个体的池之间等位基因分布的差异,包括受影响池中等位基因数量的减少,这表明存在一个共享的染色体区域。关联连锁图谱统计的功效可以使用两种最近开发的策略来确定,首先,通过测量由两个极端性状的DNA池产生的等位基因图像模式的差异,其次,通过比较两个包含大量DNA样本的池之间的总等位基因含量差异来测量。这些策略已有效地用于识别连锁研究中共享的染色体区域,并使用等位基因关联来研究候选疾病基因座进行精细结构基因图谱绘制。本文概述了DNA池作为定位复杂疾病基因座的潜在工具的应用、从DNA池中准确估计等位基因频率的统计方法、其优缺点以及在使用汇集DNA样本的关联连锁图谱中的意义。

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