LINKAGE INFORMATION CONTENT FOR POLYMORPHIC GENETIC MARKERS

近年来，人们关注的焦点是如何理解 复杂疾病的病因学不是简单的 孟德尔式，单基因座分离。其中一些方法使用 遗传变异的组成部分。在给了简单的一般之后 推导总遗传方差的所有分量的公式 对于多位点模型，我们研究了一系列 15个不完全的两等位基因两位点病模型 洞察力。我们讨论了以下限制和限制： 这些成分和基因上的疾病患病率 频率。最后，我们研究了地震的相对大小 当外显率为 完成。结果表明，方差的上位性分量为 非平凡的，相对于方差的其他分量，在 所研究的模型。这些模型可能会对 亲属间复发的复杂疾病研究 超过一级的比例急剧下降。

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.