Department of Biomathematics, The University of California, Los Angeles, 90095, USA.
Eur J Hum Genet. 2009 Nov;17(11):1495-500. doi: 10.1038/ejhg.2009.57. Epub 2009 Apr 15.
The century-old Hardy-Weinberg law remains fundamental to population genetics. Typically Hardy-Weinberg equilibrium is tested in unrelated individuals using a chi(2) goodness-of-fit test that compares expected and observed numbers of heterozygotes and homozygotes. In this report, we propose a likelihood ratio test for Hardy-Weinberg equilibrium that accommodates a mixture of pedigree and random sample data. The underlying statistical model depends on a parameter gamma determining the ratio of heterozygous genotypes to homozygous genotypes among pedigree founders. As our heterozygous-homozygous test accommodates markers with dominant and recessive alleles, it can handle the phase ambiguities encountered in combining several linked single nucleotide polymorphisms into a single supermarker. No prior haplotyping is necessary. Our experience on real and simulated data suggests that the heterozygous-homozygous test has good type-one error and power.
一个世纪以来,哈迪-温伯格定律一直是群体遗传学的基础。通常使用卡方拟合优度检验来检验无关个体中的哈迪-温伯格平衡,该检验比较预期和观察到的杂合子和纯合子数量。在本报告中,我们提出了一种适用于包含家系和随机样本数据的哈迪-温伯格平衡似然比检验。基本的统计模型取决于参数γ,该参数决定了家系创始人中杂合基因型与纯合基因型的比例。由于我们的杂合子-纯合子检验可以处理具有显性和隐性等位基因的标记,因此可以处理将几个连锁的单核苷酸多态性组合成单个超级标记时遇到的相位模糊问题。无需事先进行单倍型预测。我们在真实和模拟数据上的经验表明,杂合子-纯合子检验具有良好的第一类错误和功效。