Dai Feng, Weeks Daniel E
Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Am J Hum Genet. 2006 Jun;78(6):1035-45. doi: 10.1086/504045. Epub 2006 Apr 25.
Traditionally, the stochastic ITO transition matrices provide a simple general method for obtaining the joint genotype distribution and genotypic correlations between any specified pair of noninbred relatives. The ITO method has been widely used in modern genetic analysis; however, since it was originally derived for unordered genotypes, it is not very useful in some new applications -- for example, when one is modeling genomic imprinting and must keep track of the parental origin of alleles. To address these new, emerging problems, here we extend the ITO method to handle ordered genotypes. Our extended method is applied to calculate the covariance in unilineal and bilineal relatives under genomic imprinting, and some generalized linear functions of the transition matrices are given. Since the ITO method is limited to biallelic loci and to unilineal and bilineal relatives, we derive a general formula for calculating the genetic covariance using ordered genotypes for any type of relative pair.
传统上,随机伊藤转移矩阵提供了一种简单的通用方法,用于获得任意指定的一对非近亲亲属之间的联合基因型分布和基因型相关性。伊藤方法已在现代遗传分析中广泛使用;然而,由于它最初是针对无序基因型推导出来的,在一些新的应用中不是很有用——例如,当对基因组印记进行建模且必须追踪等位基因的亲本来源时。为了解决这些新出现的问题,我们在此将伊藤方法扩展以处理有序基因型。我们的扩展方法用于计算基因组印记下单系和双系亲属的协方差,并给出了转移矩阵的一些广义线性函数。由于伊藤方法仅限于双等位基因位点以及单系和双系亲属,我们推导了一个通用公式,用于使用有序基因型计算任何类型亲属对的遗传协方差。