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使用对数优势比分差来确定遗传模式:一种简单、稳健的方法,即使存在基因异质性和外显率降低的情况。

Using lod-score differences to determine mode of inheritance: a simple, robust method even in the presence of heterogeneity and reduced penetrance.

作者信息

Greenberg D A, Berger B

机构信息

Department of Psychiatry, Mount Sinai Medical Center, New York, NY 10029.

出版信息

Am J Hum Genet. 1994 Oct;55(4):834-40.

Abstract

Determining the mode of inheritance is often difficult under the best of circumstances, but when segregation analysis is used, the problems of ambiguous ascertainment procedures, reduced penetrance, heterogeneity, and misdiagnosis make mode-of-inheritance determinations even more unreliable. The mode of inheritance can also be determined using a linkage-based method (maximized maximum lod score or mod score) and association-based methods, which can overcome many of these problems. In this work, we determined how much information is necessary to reliably determine the mode of inheritance from linkage data when heterogeneity and reduced penetrance are present in the data set. We generated data sets under both dominant and recessive inheritance with reduced penetrance and with varying fractions of linked and unlinked families. We then analyzed those data sets, assuming reduced penetrance, both dominant and recessive inheritance, and no heterogeneity. We investigated the reliability of two methods for determining the mode of inheritance from the linkage data. The first method examined the difference (delta) between the maximum lod scores calculated under the two mode-of-inheritance assumptions. We found that if delta was > 1.5, then the higher of the two maximum lod scores reflected the correct mode of inheritance with high reliability and that a delta of 2.5 appeared to practically guarantee a correct mode-of-inheritance inference. Furthermore, this reliability appeared to be virtually independent of alpha, the fraction of linked families in the data set, although the reliability decreased slightly as alpha fell below .50.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

在最佳情况下,确定遗传模式往往也很困难,而当使用分离分析时,确定程序不明确、外显率降低、遗传异质性和误诊等问题会使遗传模式的确定更加不可靠。遗传模式也可以使用基于连锁的方法(最大化最大似然比分数或模式分数)和基于关联的方法来确定,这些方法可以克服其中许多问题。在这项研究中,我们确定了在数据集中存在遗传异质性和外显率降低的情况下,从连锁数据可靠确定遗传模式需要多少信息。我们生成了显性和隐性遗传且外显率降低、连锁和非连锁家系比例不同的数据集。然后,我们在假定外显率降低、显性和隐性遗传且无遗传异质性的情况下分析了这些数据集。我们研究了从连锁数据确定遗传模式的两种方法的可靠性。第一种方法检查在两种遗传模式假设下计算的最大似然比分数之间的差异(δ)。我们发现,如果δ>1.5,那么两个最大似然比分数中较高的那个以高可靠性反映了正确的遗传模式,并且δ为2.5似乎实际上保证了正确的遗传模式推断。此外,这种可靠性似乎实际上与α(数据集中连锁家系的比例)无关,尽管当α低于0.50时可靠性略有下降。(摘要截短为250字)

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Inferring mode of inheritance by comparison of lod scores.通过比较连锁值推断遗传模式。
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