A random walk method for computing genetic location scores.
A random walk method for computing genetic location scores.
复制标题
用于计算遗传位置分数的随机游走方法。
DOI：
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发表时间：
1991
影响因子：
9.8
通讯作者：
Eric M. Sobel
中科院分区：
文献类型：
--
作者：
Kenneth Lange;Eric M. Sobel
位置分数的计算是现代遗传学中计算量最大的任务之一。由于这些分数对于在标记地图上放置疾病位点至关重要，因此有充分的动机对大量标记进行此类计算。然而，与用于制作标记图的简单、标准化系谱相比，疾病系谱通常在图形上复杂且表型稀疏。这些复杂因素可能对同时使用多个标记进行精确的似然计算提出不可逾越的障碍。为了克服这些障碍，本文引入了一种随机游走方法来计算具有大量双等位基因标记的近似位置分数。发展了充分的数学理论来解释这种方法。可行性通过两个应用程序的小规模模拟验证，允许精确计算位置分数。
Calculation of location scores is one of the most computationally intensive tasks in modern genetics. Since these scores are crucial in placing disease loci on marker maps, there is ample incentive to pursue such calculations with large numbers of markers. However, in contrast to the simple, standardized pedigrees used in making marker maps, disease pedigrees are often graphically complex and sparsely phenotyped. These complications can present insuperable barriers to exact likelihood calculations with more than a few markers simultaneously. To overcome these barriers we introduce in the present paper a random walk method for computing approximate location scores with large numbers of biallelic markers. Sufficient mathematical theory is developed to explain the method. Feasibility is checked by small-scale simulations for two applications permitting exact calculation of location scores.
影响因子：
1.8
作者：
THOMAS, DC;CORTESSIS, V
通讯作者：
CORTESSIS, V
通过随机游走模拟谱系基因型。
影响因子：
9.8
作者：
Lange,K;Matthysse,S
通讯作者：
Matthysse,S