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The quantitative LOD score: test statistic and sample size for exclusion and linkage of quantitative traits in human sibships.

机译:LOD定量评分:测试统计量和样本量用于排除和限制人类同居关系中的数量性状。

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摘要

We present a test statistic, the quantitative LOD (QLOD) score, for the testing of both linkage and exclusion of quantitative-trait loci in randomly selected human sibships. As with the traditional LOD score, the boundary values of 3, for linkage, and -2, for exclusion, can be used for the QLOD score. We investigated the sample sizes required for inferring exclusion and linkage, for various combinations of linked genetic variance, total heritability, recombination distance, and sibship size, using fixed-size sampling. The sample sizes required for both linkage and exclusion were not qualitatively different and depended on the percentage of variance being linked or excluded and on the total genetic variance. Information regarding linkage and exclusion in sibships larger than size 2 increased as approximately all possible pairs n(n-1)/2 up to sibships of size 6. Increasing the recombination (theta) distance between the marker and the trait loci reduced empirically the power for both linkage and exclusion, as a function of approximately (1-2theta)4.
机译:我们提出了一个测试统计量,即定量LOD(QLOD)分数,用于在随机选择的人类同居关系中测试定量特征位点的连锁和排除。与传统的LOD分数一样,QLOD分数可以使用3的边界值(用于链接)和-2的边界值(用于排除)。我们使用固定大小抽样调查了推断排斥和连锁所需的样本大小,以及连锁遗传变异,总遗传力,重组距离和同胞大小的各种组合。连锁和排除所需的样本数量在质量上没有差异,取决于被连锁或排除的方差百分比以及总的遗传方差。有关大小大于2的同胞中大约所有可能的对n(n-1)/ 2的信息,有关大于和等于2的同胞中的联系和排斥的信息会增加,从而增加标记物和性状基因座之间的重组(θ)距离,从而根据经验降低了功效对于连锁和排斥,大约是(1-2θ)4的函数。

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