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Conclusions of segregation analysis for family data generated under two-locus models.

机译:在两地点模式下生成的家庭数据进行隔离分析的结论。

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摘要

Susceptibility to a disease may involve the interactive effect of two genes. What conclusions will be drawn by segregation analysis in such a case? To answer this question, we considered a set of two-locus models and the corresponding exact distribution for 300 families. We investigated the conclusions and parameter estimations obtained for this sample, by comparing the likelihood expectations of the unified model and of more restricted models. In many cases, segregation analysis leads to the conclusion of a major gene effect, with or without a polygenic component--usually without a polygenic component in multiplicative models (i.e., where two genes have a multiplicative effect) and with such a component in nonmultiplicative models. For all the models considered, existence of a major gene effect is supported by transmission probability tests; there is evidence for transmission and agreement with the hypothesis of Mendelian transmission. Accordingly, there is no means of detecting that the effect of a major gene, with or without a polygenic component, does not correspond to the correct model. In addition, the parameter estimates for the major gene do not correspond to the characteristics of either of the two genes of the true model. This may substantially affect further linkage analysis.
机译:对疾病的易感性可能涉及两个基因的相互作用。在这种情况下,通过隔离分析将得出什么结论?为了回答这个问题,我们考虑了一套两地点模型和300个家庭的相应确切分布。通过比较统一模型和更严格模型的似然性期望,我们调查了该样本的结论和参数估计。在许多情况下,隔离分析可得出具有或不具有多基因成分的主要基因效应的结论-通常在乘法模型中(即两个基因具有乘法效应的情况下)没有多基因成分,而在非乘法模型中具有这样的成分楷模。对于所有考虑的模型,主要的基因效应的存在都通过传播概率测试来支持;有证据表明传播与孟德尔传播假设一致。因此,没有办法检测具有或不具有多基因成分的主要基因的作用与正确的模型不符。此外,主要基因的参数估计值与真实模型的两个基因中的任何一个都不对应。这可能会严重影响进一步的连锁分析。

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