LINKAGE INFORMATION CONTENT FOR POLYMORPHIC GENETIC MARKERS

近年来，人们一直关注方法来了解 复杂疾病的病因学不遵循简单的 孟德尔式，单位点分离。 其中一些方法利用 遗传变异的组成部分。 在给简单的一般 公式推导出总遗传方差的所有分量 对于多位点模型，我们研究了一系列的这些成分， 在15个双等位基因双位点疾病模型中， 恍惚。 我们讨论了 这些成分和基因上的疾病流行率 频率. 最后，我们研究了 方差分量的各种模型时， 完成. 发现方差的上位成分是 非平凡的，相对于方差的其他分量，在七个 研究的模型。 这些模型可能会特别感兴趣的 亲属间复发的复杂疾病的研究 一级以上急剧下降。

In recent years, there has been a focus on methods to understand the etiology of complex disorders which do not follow simple Mendelian, single locus segregation. Some of these methods make use of components of genetic variance. After giving simple general formulations to derive all the components of total genetic variance for multilocus models, we investigated these components for a series of fifteen two-allele two-locus disease models with incomplete penetrance. We discussed the restrictions and limitations implied by the disease prevalence on both these components and the gene frequencies. Finally, we investigated the relative magnitudes of the components of variance for the various models when penetrance is complete. It is found that the epistatic components of variance are non-trivial, relative to the other components of variance, in seven of the models studied. These models may be of special interest for the study of complex diseases in which the recurrence among relatives beyond first degree decreases sharply.