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模拟外显率和家庭规模对散发性和家族性疾病发病率的影响。

Modelling the effects of penetrance and family size on rates of sporadic and familial disease.

作者信息

Al-Chalabi Ammar, Lewis Cathryn M

机构信息

Department of Clinical Neuroscience, Medical Research Council Centre for Neurodegeneration Research, London, UK.

出版信息

Hum Hered. 2011;71(4):281-8. doi: 10.1159/000330167. Epub 2011 Aug 12.

DOI:10.1159/000330167
PMID:21846995
Abstract

BACKGROUND/AIMS: Many complex diseases show a diversity of inheritance patterns ranging from familial disease, manifesting with autosomal dominant inheritance, through to simplex families in which only one person is affected, manifesting as apparently sporadic disease. The role of ascertainment bias in generating apparent patterns of inheritance is often overlooked. We therefore explored the role of two key parameters that influence ascertainment, penetrance and family size, in rates of observed familiality.

METHODS

We develop a mathematical model of familiality of disease, with parameters for penetrance, mutation frequency and family size, and test this in a complex disease: amyotrophic lateral sclerosis.

RESULTS

Monogenic, high-penetrance variants can explain patterns of inheritance in complex diseases and account for a large proportion of those with no apparent family history. With current demographic trends, rates of familiality will drop further. For example, a variant with penetrance 0.5 will cause apparently sporadic disease in 12% of families of size 10, but 80% of families of size 1. A variant with penetrance 0.9 has only an 11% chance of appearing sporadic in families of a size similar to those of Ireland in the past, compared with 57% in one-child families like many in China.

CONCLUSIONS

These findings have implications for genetic counselling, disease classification and the design of gene-hunting studies. The distinction between familial and apparently sporadic disease should be considered artificial.

摘要

背景/目的:许多复杂疾病呈现出多样的遗传模式,从表现为常染色体显性遗传的家族性疾病,到仅一人患病的单一家系,表现为明显的散发性疾病。在产生明显遗传模式过程中,确诊偏倚的作用常常被忽视。因此,我们探讨了影响确诊的两个关键参数——外显率和家庭规模——在观察到的家族性发生率中的作用。

方法

我们建立了一个疾病家族性的数学模型,包含外显率、突变频率和家庭规模等参数,并在一种复杂疾病——肌萎缩侧索硬化症中进行了检验。

结果

单基因、高外显率变体可以解释复杂疾病的遗传模式,并占那些无明显家族史患者的很大比例。随着当前人口趋势,家族性发生率将进一步下降。例如,外显率为0.5的变体在规模为10的家庭中有12%会导致明显的散发性疾病,但在规模为1的家庭中有80%会如此。外显率为0.9的变体在过去类似爱尔兰家庭规模的家庭中出现散发性的概率仅为11%,而在像中国许多独生子女家庭中这一概率为57%。

结论

这些发现对遗传咨询、疾病分类和基因搜寻研究的设计具有启示意义。家族性疾病和明显散发性疾病之间的区别应被视为人为的。

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