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Statistics on continuous IBD data: Exact distribution evaluation for a pair of full(half)-sibs and a pair of a (great-) grandchild with a (great-) grandparent

机译:有关连续IBD数据的统计信息:对一对全同父异母同父异母和一对(祖父母)祖父母与(祖父母)的精确分布评估

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Background Pairs of related individuals are widely used in linkage analysis. Most of the tests for linkage analysis are based on statistics associated with identity by descent (IBD) data. The current biotechnology provides data on very densely packed loci, and therefore, it may provide almost continuous IBD data for pairs of closely related individuals. Therefore, the distribution theory for statistics on continuous IBD data is of interest. In particular, distributional results which allow the evaluation of p-values for relevant tests are of importance. Results A technology is provided for numerical evaluation, with any given accuracy, of the cumulative probabilities of some statistics on continuous genome data for pairs of closely related individuals. In the case of a pair of full-sibs, the following statistics are considered: (i) the proportion of genome with 2 (at least 1) haplotypes shared identical-by-descent (IBD) on a chromosomal segment, (ii) the number of distinct pieces (subsegments) of a chromosomal segment, on each of which exactly 2 (at least 1) haplotypes are shared IBD. The natural counterparts of these statistics for the other relationships are also considered. Relevant Maple codes are provided for a rapid evaluation of the cumulative probabilities of such statistics. The genomic continuum model, with Haldane's model for the crossover process, is assumed. Conclusions A technology, together with relevant software codes for its automated implementation, are provided for exact evaluation of the distributions of relevant statistics associated with continuous genome data on closely related individuals.
机译:背景技术成对的相关个体被广泛用于连锁分析中。链接分析的大多数测试都是基于与后裔身份(IBD)数据相关的统计数据。当前的生物技术提供了非常密集的基因座数据,因此,它可以为成对紧密相关的个体提供几乎连续的IBD数据。因此,用于连续IBD数据统计的分布理论值得关注。特别地,允许评估相关测试的p值的分布结果非常重要。结果提供了一种技术,可以以任何给定的精度对一对紧密相关的个体进行连续基因组数据统计的累积概率进行数值评估。对于一对全同胞,考虑以下统计数据:(i)具有2个(至少1个)单倍型的同一基因组在染色体区段上共享相同的血统(IBD)的比例,(ii)染色体片段的不同片段(子片段)的数量,在每个片段上正好共有2个(至少1个)单体型共享IBD。还考虑了这些统计数据与其他关系的自然对应关系。提供了相关的Maple码以快速评估此类统计信息的累积概率。假定具有连续过程的基因组连续体模型和霍尔丹模型。结论提供了一种技术及其用于自动化实施的相关软件代码,用于精确评估与紧密相关个体上的连续基因组数据相关的相关统计信息的分布。

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