Modeling the age-of-onset function in segregation analysis: a causal scheme for leprosy.
Modeling the age-of-onset function in segregation analysis: a causal scheme for leprosy.
复制标题
在隔离分析中对发病年龄函数进行建模：麻风病的因果方案。
DOI：
10.1002/gepi.1370060405
复制
发表时间：
1989
影响因子：
2.1
通讯作者：
Bonney,GE
中科院分区：
文献类型：
--
作者：
Abel,L;Mallet,A;Demenais,F;Bonney,GE
已经提出了几种方法来考虑遗传分析中疾病发病的可变年龄。从病因学的角度提出了一种不同的方法。为了说明这种方法，我们以麻风病为例，麻风病是一种传染性疾病，其发病年龄取决于杆菌污染的时间和疾病的潜伏期；最近发现了对这种疾病易感性的一个主要基因的作用。对发病年龄函数进行建模，以解释两个时间过程：污染事件和潜伏期。对于遗传分析，该函数与易患该疾病的概率相结合，该概率通过使用回归模型表示。为了测试这种新方法，对10组500个核心家庭进行了模拟，考虑了不同的污染风险假设，这些假设要么是恒定的，要么取决于与传染性麻风病患者的接触，并改变了疾病的遗传程度。使用两个版本的模型对这些数据进行分析表明，该模型可以检测不同发病年龄的家族相关性，并区分不同的模拟效应。
Several methods have been proposed to take into account the variable age of onset of a disease in genetic analysis. A different approach is presented from an etiological point of view. To illustrate the method, we used leprosy, an infectious disease with a variable age of onset depending on both the time of contamination with the bacillus and the latency of the disease; the role of a major gene in the susceptibility to this disease has been recently detected. The age‐of‐onset function was modeled to account for the two temporal processes: contamination event and incubation period. For genetic analysis, this function was combined with the probability of being susceptible to the disease, which was expressed by the use of regressive models. To test this new approach, ten sets of 500 nuclear families were simulated considering different hypotheses of contamination risks, which were either constant or dependent on contacts with contagious leprosy patients, and varying the extent to which the disease is heritable. Analyses of these data using two versions of the model indicate that the model can detect familial correlations in variable age of onset and discriminate between the different simulated effects.