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一种将两点连锁值合并为汇总多点图谱的方法。

A procedure for combining two-point lod scores into a summary multipoint map.

作者信息

Curtis D, Gurling H

机构信息

Academic Department of Psychiatry, St. Mary's Hospital Medical School, London, UK.

出版信息

Hum Hered. 1993 May-Jun;43(3):173-85. doi: 10.1159/000154174.

Abstract

Multipoint linkage analysis can be extremely demanding in terms of computer time and memory, and these requirements rise exponentially with the number of markers used. A method is described for producing a rapid approximation to a multipoint analysis from the supplied results of two-point analyses with each marker. The method depends on regarding the lod scores as if they were obtained from a number of independent phase-known meioses, and making estimates concerning the proportion of all meioses which are likely to be informative for each marker. It then becomes possible to estimate the amount of information from each marker or pair of markers which is independent of information from other markers. The lod scores arising from independent contributions may then be summed to approximate the true multipoint lod score. The method has been implemented in a computer program called FASTMAP which is freely available. It has been tested on a variety of simulated and real data. In most circumstances it performs well, with a high correlation between the estimated and true multipoint lod score and little bias. However occasionally the results of the estimate deviate markedly from the multipoint lod score, especially at map positions very close to the markers. The overall usefulness of the method will therefore need to be further evaluated, but it does seem adequate at least for building exclusion maps and carrying out preliminary and exploratory analyses.

摘要

多点连锁分析在计算机时间和内存方面要求极高,并且这些要求会随着所使用标记数量的增加呈指数级增长。本文描述了一种方法,可根据每个标记的两点分析结果快速近似多点分析。该方法依赖于将对数优势分数视为好像是从多个已知相位的独立减数分裂中获得的,并对所有减数分裂中可能对每个标记具有信息性的比例进行估计。然后就有可能估计每个标记或标记对中与其他标记信息无关的信息量。然后可以将独立贡献产生的对数优势分数相加,以近似真实的多点对数优势分数。该方法已在一个名为FASTMAP的计算机程序中实现,该程序可免费获取。它已在各种模拟数据和真实数据上进行了测试。在大多数情况下,它表现良好,估计的多点对数优势分数与真实分数之间具有高度相关性且偏差很小。然而,偶尔估计结果会与多点对数优势分数有明显偏差,特别是在非常接近标记的图谱位置。因此,该方法的整体实用性需要进一步评估,但至少对于构建排除图谱以及进行初步和探索性分析似乎是足够的。

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