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脆性X综合征男性和女性皮纹测量的判别分析。

Discriminant analysis of dermatoglyphic measurements in fragile X males and females.

作者信息

Loesch D Z

机构信息

Department of Psychology, La Trobe University, Bundoora, Victoria, Australia.

出版信息

Clin Genet. 1988 Mar;33(3):169-75. doi: 10.1111/j.1399-0004.1988.tb03433.x.

Abstract

Two hundred and eight fragile X subjects (92 males and 116 females) and matched Australian (60 males and 32 females) and British (122 males and 118 females) normal samples were used to calculate 4 discriminant functions, based on dermatoglyphic measurements. The most efficient discriminating variables between fragile X and normal males, selected by means of the Wilk's stepwise method, included: ridge counts on fingers 1-3, the hallucal (f) count on soles, the atd angle, and pattern intensities in palmar areas 2, 4 and 5 as well as on fingers 4 and 5. In females, the ridge breadth, the hallucal (e) count, the atd angle and pattern intensities in palmar areas 3-5 as well as on fingers 1, 3 and 5 comprised the final discriminant. The misclassification rate based on distributions of individual discriminant scores in each pair of samples, and on prior probabilities, was lowest (16.8%) in fragile X males compared with the Australian normal subjects. In both female comparisons, this rate approached 44%. A bias to misclassification rates resulting from various analytical procedures and some properties of the data are discussed. We conclude that the discriminant function based on dermatoglyphic measured variables alone is not good enough for assessing carrier probabilities for fragile X, especially in females. However, we have been able to select the best discriminators which may be used, together with other measured body characteristics, to obtain a more powerful discriminant function. Moreover, a consideration of discriminant scores based on dermatoglyphic traits only may help in estimating carrier probabilities.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

基于皮纹测量,使用208名脆性X综合征受试者(92名男性和116名女性)以及匹配的澳大利亚正常样本(60名男性和32名女性)和英国正常样本(122名男性和118名女性)来计算4个判别函数。通过威尔克斯逐步法选择的脆性X综合征男性与正常男性之间最有效的判别变量包括:1 - 3指的嵴纹数、足底拇趾球(f)嵴纹数、atd角以及手掌2区、4区和5区以及4指和5指的纹型强度。在女性中,最终判别变量包括:嵴纹宽度、拇趾球(e)嵴纹数、atd角以及手掌3 - 5区以及1指、3指和5指的纹型强度。基于每对样本中个体判别分数的分布以及先验概率,脆性X综合征男性与澳大利亚正常受试者相比,误分类率最低(16.8%)。在两个女性比较组中,该比率接近44%。讨论了各种分析程序和数据的一些特性导致的误分类率偏差。我们得出结论,仅基于皮纹测量变量的判别函数对于评估脆性X综合征的携带概率不够好,尤其是在女性中。然而,我们能够选择最佳判别变量,这些变量可与其他测量的身体特征一起用于获得更强大的判别函数。此外,仅考虑基于皮纹特征的判别分数可能有助于估计携带概率。(摘要截短为250字)

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