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A likelihood-ratio test of twin zygosity using molecular genetic markers.

机译:使用分子遗传标记对双子合子的似然比测试。

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The importance of using multiple polymorphic genetic markers to determine unambiguously whether a twin pair is monozygotic (MZ) or dizygotic (DZ) has long been recognized. Concordance among a set of markers is used as evidence of monozygosity, as it would be improbable for DZ twins to be concordant at a large number of polymorphic loci. Several sources give a formula for the probability of two DZ twins sharing the same genotype at a locus, assuming knowledge of allele frequencies but not of either twin's genotype; this probability can be used to determine whether a set of markers will reliably distinguish between MZ and DZ status in a randomly selected twin pair. If the shared genotype is known, however, the likelihood-ratio test (LRT) of the null hypothesis of dizygosity against the alternative hypothesis of monozygosity takes into account the observed genotype and, by the Neyman-Pearson lemma, is the most powerful test of its size. The LRT is equivalent to conditioning on the genotype of one of the twins, and computing the probability, assuming DZ status, of the other twin sharing that genotype. The resulting p values are frequently lower than those produced by the unconditional probability, especially if rare alleles are observed. The unconditional probability can be recapitulated from conditional probabilities by averaging across all of the conditioned sibling's possible genotypes. To illustrate properties of the LRT applied to multiple markers, the probability distribution of the LRT p value is computed from allele frequencies of twelve unlinked markers published in Elbaz et al. (2006) and compared with the p value computed from unconditional probabilities.
机译:长期以来,人们已经认识到使用多个多态性遗传标记明确确定一对双胞胎是单卵(MZ)还是双卵(DZ)的重要性。一组标记之间的一致性被用作单合性的证据,因为DZ双胞胎在大量的多态性基因座上不可能是一致的。假设有关等位基因的频率但不知道任何一个双胞胎的基因型,有几个资料来源给出了两个DZ双胞胎在一个基因座处共享相同基因型的概率的公式。该概率可用于确定一组标记是否将可靠地区分随机选择的双胞胎对中的MZ和DZ状态。但是,如果已知共有的基因型,则双合子性零假设与单性合子的另一假设的似然比检验(LRT)将观察到的基因型考虑在内,并且通过Neyman-Pearson引理,是对基因型的最有力检验它的大小。 LRT等效于以一对双胞胎中一个双胞胎的基因型为条件,并假设DZ状态,计算另一双胞胎共有该基因型的概率。所得的p值通常低于无条件概率产生的p值,尤其是在观察到稀有等位基因的情况下。通过对所有有条件的同胞的可能基因型进行平均,可以从有条件的概率中概括无条件的概率。为了说明应用于多个标记的LRT的特性,根据Elbaz等人发表的十二种未连锁标记的等位基因频率计算LRT p值的概率分布。 (2006年),并与根据无条件概率计算的p值进行比较。

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