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一种在某些自然不等式限制下估计两位点重组率的新策略。

A new strategy for estimating two-locus recombination fractions under some natural inequality restrictions.

作者信息

Zhou Ying, Ma Weijun, Sheng Xiaona, Wang Huakun

机构信息

School of Mathematical Sciences, Heilongjiang University, Harbin 150080, People's Republic of China.

出版信息

J Genet. 2011 Aug;90(2):275-82. doi: 10.1007/s12041-011-0088-4.

Abstract

Linkage analysis is now being widely used to map markers on each chromosome in the human genome, to map genetic diseases, and to identify genetic forms of common diseases. Two-locus linkage analysis and multi-locus analysis have been investigated comprehensively, and many computer programs have been developed to perform linkage analysis. Yet there exists a shortcoming in traditional methods, i.e., the parameter space of two-locus recombination fractions has not been emphasized sufficiently in the usual analyses. In this paper, we propose a new strategy for estimating the two-locus recombination fractions based on data of backcross family in the framework of some natural and necessary parameter restrictions. The new strategy is based on a restricted projection algorithm, which can provide fast reasonable estimates of recombination fraction, and can therefore serve as a superior alternative algorithm. Results obtained from both real and simulated data indicate that the new algorithm performs well in the estimation of recombination fractions and outperforms current methods.

摘要

连锁分析目前被广泛用于在人类基因组中绘制各条染色体上的标记、绘制遗传疾病图谱以及识别常见疾病的遗传形式。两位点连锁分析和多位点分析已得到全面研究,并且已经开发了许多计算机程序来进行连锁分析。然而,传统方法存在一个缺点,即在通常的分析中,两位点重组率的参数空间没有得到足够的重视。在本文中,我们提出了一种基于回交家系数据,在一些自然且必要的参数限制框架下估计两位点重组率的新策略。新策略基于一种受限投影算法,该算法能够快速合理地估计重组率,因此可以作为一种更优的替代算法。来自真实数据和模拟数据的结果均表明,新算法在重组率估计方面表现良好,且优于当前方法。

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