Pitkäniemi Janne, Onkamo Päivi, Tuomilehto Jaakko, Arjas Elja
Department of Mathematics and Statistics, Rolf Nevanlinna Institute, P,O, Box 4 (Yliopistonkatu 5), FIN-00014 University of Helsinki, Finland.
BMC Genet. 2004 Apr 2;5:5. doi: 10.1186/1471-2156-5-5.
The incidence of Type 1 diabetes (T1DM) is increasing fast in many populations. The reasons for this are not known, although an increase in the penetrance of the diabetes-associated alleles, through changes in the environment, might be the most plausible mechanism. After the introduction of insulin treatment in 1930s, an increase in the pool of genetically susceptible individuals has been suggested to contribute to the increase in the incidence of Type 1 diabetes.
To explore this hypothesis, the authors formulate a simple population genetic model for the incidence change driven by non-Mendelian transmission of a single susceptibility factor, either allele(s) or haplotype(s). A Poisson mixture model is used to model the observed number of cases. Model parameters were estimated by maximizing the log-likelihood function. Based on the Finnish incidence data 1965-1996 the point estimate of the transmission probability was 0.998. Given our current knowledge of the penetrance of the most diabetic gene variants in the HLA region and their transmission probabilities, this value is exceedingly unrealistic.
As a consequence, non-Mendelian transmission of diabetic allele(s)/haplotype(s) if present, could explain only a small part of the increase in incidence in Finland. Hence, the importance of other, probably environmental factors modifying the disease incidence is emphasized.
1型糖尿病(T1DM)在许多人群中的发病率正在迅速上升。其原因尚不清楚,尽管通过环境变化导致糖尿病相关等位基因的外显率增加可能是最合理的机制。自20世纪30年代引入胰岛素治疗后,有人提出遗传易感性个体库的增加导致了1型糖尿病发病率的上升。
为了探究这一假设,作者构建了一个简单的群体遗传模型,用于描述由单个易感性因素(等位基因或单倍型)的非孟德尔传递所驱动的发病率变化。使用泊松混合模型对观察到的病例数进行建模。通过最大化对数似然函数来估计模型参数。基于1965 - 1996年芬兰的发病率数据,传递概率的点估计值为0.998。鉴于我们目前对HLA区域中最常见糖尿病基因变异的外显率及其传递概率的了解,这个值极不现实。
因此,如果存在糖尿病等位基因/单倍型的非孟德尔传递,它只能解释芬兰发病率上升的一小部分。因此,强调了其他可能是环境因素对疾病发病率的影响。