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威廉姆斯综合征的掌指纹型分析

Metacarpophalangeal pattern profile analysis in Williams syndrome.

作者信息

Burns M A, McLeod D R, Linton L R, Butler M G

机构信息

University of Calgary Medical School, Alberta, Canada.

出版信息

Am J Med Genet. 1993 Sep 15;47(4):471-4. doi: 10.1002/ajmg.1320470407.

Abstract

Many patients with Williams syndrome (WS) are not diagnosed until they are old enough to demonstrate the characteristic personality and facial changes. A number of these changes are quite subtle and none of them is present in all affected individuals. The cause of WS remains obscure and consequently, there are no cytogenetic, biochemical, or molecular studies to help in the diagnosis of patients in whom the diagnosis is uncertain. We have generated a mean WS metacarpophalangeal pattern profile (MCPP) on 21 clinically diagnosed individuals with WS. This mean syndrome profile shows that WS hands are smaller than average age-matched control hands and that the distal phalanx of the thumb is disproportionately large with respect to the rest of the hand. A mathematical model, which effectively discriminates WS patients from unaffected control individuals, was developed using discriminant analysis of the MCPP data. Of the 21 WS patients classified by this method, only 2 were misclassified as "normal." Similarly, 2 of the 24 control individuals were misclassified as "WS," yielding an over-all successful classification rate of 91%.

摘要

许多威廉姆斯综合征(WS)患者直到年龄足够大,表现出典型的性格和面部变化时才被诊断出来。其中一些变化非常细微,而且并非所有患者都会出现所有这些变化。WS的病因仍然不明,因此,没有细胞遗传学、生物化学或分子研究来帮助诊断那些诊断不明确的患者。我们已经为21名临床诊断为WS的个体生成了平均威廉姆斯综合征掌指模式轮廓(MCPP)。这个平均综合征轮廓显示,WS患者的手部比年龄匹配的正常对照者的手部小,并且拇指远节指骨相对于手部其他部位不成比例地大。利用对MCPP数据的判别分析,开发了一个数学模型,该模型能有效地区分WS患者和未受影响的对照个体。通过这种方法分类的21名WS患者中,只有2名被误分类为“正常”。同样,24名对照个体中有2名被误分类为“WS”,总体成功分类率为91%。

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