Ott J
Hum Genet. 1979 Sep 2;51(1):79-91. doi: 10.1007/BF00278296.
A statistical test of polygenic inheritance (TPI) against the alternative of a rare major gene is presented. It is designed for a random sample of quantitative observations on index cases and siblings of those index cases (probands) selected on the basis of the observed measurements of these probands. The test focuses on an increase of the variance of siblings of probands over its value under polygenic inheritance, such an increase being expected in the presence of a major gene producing a shift of the quantitative observations. Certain data on lipids are then analyzed by this test. A major gene can tentatively be confirmed for triglycerides but not for cholesterol. In addition, the values of all index cases are subjected to an analysis of a mixture of normal distributions (NOCOMP computer program), resulting in a significant second component for triglycerides but not for cholesterol. For both TPI and NOCOMP, the exponent in a power transformation is estimated by maximum likelihood simultaneously with all other parameters, so that these analysis methods are robust against a wide range of skewness in the data, which is demonstrated by manipulation of the observations and their reanalysis.
本文提出了一种针对罕见主基因替代情况的多基因遗传统计检验(TPI)。它是为基于指数病例及其同胞(先证者)的观察测量值所选取的指数病例及这些指数病例的同胞的定量观察随机样本而设计的。该检验聚焦于先证者同胞的方差相较于多基因遗传情况下其值的增加,在存在导致定量观察值发生偏移的主基因时,预计会出现这种增加。然后用此检验分析了某些脂质数据。初步可确认甘油三酯存在主基因,但胆固醇不存在。此外,对所有指数病例的值进行正态分布混合分析(NOCOMP计算机程序),结果显示甘油三酯有显著的第二成分,而胆固醇没有。对于TPI和NOCOMP,幂变换中的指数与所有其他参数同时通过最大似然法进行估计,这样这些分析方法对数据中广泛的偏度具有稳健性,这通过对观察值的操作及其重新分析得到了证明。