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多种限制性片段长度多态性在产前风险评估中的应用。I. X连锁疾病。

The use of multiple restriction fragment length polymorphisms in prenatal risk estimation. I. X-linked diseases.

作者信息

Clark A G

出版信息

Am J Hum Genet. 1985 Jan;37(1):60-72.

Abstract

An analytical procedure for estimating the risk of X-linked diseases based on presence/absence of a series of restriction sites is presented. Multiple-locus linkage phase of the carrier mother is first inferred from previous offspring, from parents, and by molecular means. Bayesian risk estimates are then obtained using this information and the recombination-segregation distribution. The improvement afforded by using multiple flanking markers rather than a single marker is dramatic. Whereas the upper bound on the probability that a family will be informative using a single diallelic X-linked marker is .5, in the case of m markers, the bound on the probability of an informative family becomes 1 - .5m. With a single linked marker, the precision in the risk estimate is bounded by the frequency of recombination, whereas the requirement of very tight linkage is relaxed somewhat when multiple flanking markers are used. Recombination interference and multiple-locus linkage disequilibria can further improve the risk estimates, but it is important to understand how the statistical confidence in these parameters affects the reliability of the risk estimates.

摘要

本文提出了一种基于一系列限制性酶切位点的有无来估计X连锁疾病风险的分析方法。首先从先前的后代、父母以及通过分子手段推断携带者母亲的多位点连锁相。然后利用这些信息和重组-分离分布获得贝叶斯风险估计值。使用多个侧翼标记而非单个标记所带来的改进是显著的。使用单个双等位基因X连锁标记时,一个家系具有信息性的概率上限为0.5,而对于m个标记的情况,有信息性家系的概率上限变为1 - 0.5^m。对于单个连锁标记,风险估计的精度受重组频率的限制,而使用多个侧翼标记时,对紧密连锁的要求会有所放宽。重组干扰和多位点连锁不平衡可进一步改善风险估计,但了解这些参数的统计置信度如何影响风险估计的可靠性很重要。

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