Linkage analysis under “random” and “genetic” reduced penetrance
Linkage analysis under “random” and “genetic” reduced penetrance
复制标题
“随机”和“遗传”外显率降低下的连锁分析
作者：
D. Greenberg;S. Hodge
我们检查了连锁分析的结果是否受到所谓的“降低的连锁率”的原因的影响。我们用随机降低的遗传距离模拟了连锁数据，并将其与由两个基因座上位性相互作用控制的遗传条件下的数据进行了比较。对于双基因座疾病模型，其中一个基因座与标记物连锁。所有数据，无论数据如何模拟，均在具有随机降低的遗传率的单基因座遗传模型的假设下进行分析。我们发现，无论是随机因素（通常解释为环境因素）还是严格的遗传因素，连锁分析的结果似乎都没有什么偏差。我们还说明，当性状或疾病是由一个以上的基因座的影响，在连锁基因座的性状的遗传是重要的考虑，而不是性状本身的遗传。
We examined whether the results of linkage analysis are affected by the reasons for so‐called “reduced penetrance”. We simulated linkage data with random reduced penetrance and contrasted that with data that were simulated under inheritance controlled by two loci interacting epistatically. For the two‐locus disease models, one of those loci was linked to the marker. All data, irrespective of how the data were simulated, were analyzed under the assumption of a single‐locus genetic model with random reduced penetrance. We found that there appears to be little bias in the results of linkage analysis whether the “reduced penetrance” was caused by random (usually interpreted as environmental) factors or by strictly genetic factors. We also illustrate that when the trait or disease is influenced by more than one locus, the inheritance of the trait at the linked locus is the important consideration, not the inheritance of the trait per se.
测试双基因座遗传模型的简单方法。
影响因子：
9.8
作者：
Greenberg,DA
通讯作者：
Greenberg,DA