Stark Alan E
School of Mathematics and Statistics FO7, University of Sydney, Sydney, New South Wales, Australia.
Twin Res Hum Genet. 2019 Aug;22(4):229-232. doi: 10.1017/thg.2019.47. Epub 2019 Jul 25.
The epidemiology of heritable traits whose prevalence is determined by a balance between mutation and selection is often explored through deterministic models. Here, the properties are explored by simulation of a model population followed through a sequence of closely spaced time points. Mutation and birth and death occur randomly. The condition neurofibromatosis type 1 (NF1) is used as a point of reference. Critical parameters, such as mutation rates and selection forces, are not known precisely for NF1 so speculative values based on published data from Finland and other studies are proposed.
其患病率由突变与选择之间的平衡所决定的可遗传性状的流行病学，通常通过确定性模型来探究。在此，通过对一个模型群体在一系列紧密间隔的时间点上的模拟来探究其特性。突变、出生和死亡均随机发生。将1型神经纤维瘤病（NF1）作为一个参考点。由于NF1的关键参数（如突变率和选择力）尚无精确数据，因此基于芬兰及其他研究的已发表数据提出了推测值。
