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遗传性疾病的发病年龄:Sartwell潜伏期分布模型的一个应用。

Age at onset of genetic diseases: an application for Sartwell's model of the distribution of incubation periods.

作者信息

Armenian H K, Khoury M J

出版信息

Am J Epidemiol. 1981 May;113(5):596-605. doi: 10.1093/oxfordjournals.aje.a113137.

Abstract

For diseases of well-defined genetic etiology and with onset after birth, the age at onset corresponds to the incubation period of the disease. The lognormal model, as used by Sartwell to study the distribution of incubation periods in infectious diseases (Am J Hyg 1950;51:310-8), was applied in this study to the distribution of the ages at onset of genetic diseases. The literature was reviewed for reports of genetic diseases having frequency distributions of ages at onset. Fourteen diseases with well-specified genetic etiology as well as nine other diseases where the contribution of the genetic component to the etiology is not well defined were studied. A graphic method as well as a goodness of fit test were applied to the different age at onset distributions to assess their conformity to the lognormal model. For most of the genetic diseases that have an underlying biochemical abnormality, the age at onset distributions approximated a logarithmic normal model. In seven series of cases of diseases with an established pattern of inheritance but with no defined biochemical abnormalities, only two showed a good fit to the lognormal model. For diseases with ill-defined genetic etiology or strong environmental influences, these distributions of the age at onset did not fit the lognormal model. In a multifactorial model for disease etiology, the present method may be used as a crude way for differentiating the relative importance of etiologic factors acting before and after birth.

摘要

对于具有明确遗传病因且出生后发病的疾病,发病年龄相当于疾病的潜伏期。本研究将Sartwell用于研究传染病潜伏期分布的对数正态模型(《美国卫生学杂志》1950年;51:310 - 8)应用于遗传疾病的发病年龄分布。对有关发病年龄频率分布的遗传疾病报告进行了文献综述。研究了14种具有明确遗传病因的疾病以及另外9种遗传成分在病因中作用不明确的疾病。对不同的发病年龄分布应用了一种图形方法以及拟合优度检验,以评估它们与对数正态模型的符合性。对于大多数具有潜在生化异常的遗传疾病,发病年龄分布近似对数正态模型。在7组具有既定遗传模式但无明确生化异常的疾病病例系列中,只有两组与对数正态模型拟合良好。对于遗传病因不明确或有强烈环境影响的疾病,这些发病年龄分布不适合对数正态模型。在疾病病因的多因素模型中,本方法可作为一种粗略的方法来区分出生前后起作用的病因因素的相对重要性。

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