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带型人类染色体的视觉分类II. 综合密度分布图的分类与核型分析

Visual classification of banded human chromosomes ii. classification and karyotyping of integrated density profiles.

作者信息

Lundsteen C, Granum E

出版信息

Ann Hum Genet. 1977 May;40(4):431-42. doi: 10.1111/j.1469-1809.1977.tb01861.x.

Abstract

Visual classification and karyotyping of 897 integrated density profiles generated from straight and non-overlapping chromosomes from 22 trypsin-banded metaphases of average quality was carried out and evaluated. The results were compared with visual classification of photographic prints of the same 897 chromosomes. The experiments were carried out by one observer. About 5% errors were made in classification of isolated profiles; 0-5% errors were made in karyotyping profiles and about 3% errors were made in classification of isolated chromosome prints. The reason for the small error rate obtained by karyotyping profiles as compared to the error rate when classifying isolated profiles was assumed to be the use of a priori knowledge of the composition of (normal) metaphases and the possibility of making appropriate comparisons between the individual profiles within the metaphase. Comparison between classification of isolated prints and of profiles showed different error patterns on the basis of which it was assumed that prints constitute a better basis for visual classification than profiles. The results seemed to indicate two ways of improving computer classification of banded chromosomes: (1) information of value in the chromosomes (band pattern, shape etc.) should be extracted from the digitized chromosome image in a manner superior to the simple integration by which profiles are produced; (2) computer karyotyping should simulate the human method, thus taking advantage of a priori knowledge of the composition of the metaphases and being able to make appropriate comparisons between individual chromosomes.

摘要

对从22个质量一般的胰蛋白酶显带中期染色体的直的且不重叠的染色体产生的897个综合密度分布图进行了视觉分类和核型分析,并进行了评估。将结果与相同897条染色体的照片打印件的视觉分类进行了比较。实验由一名观察者进行。在分离的分布图分类中出现了约5%的错误;在核型分析分布图中出现了0 - 5%的错误,在分离的染色体打印件分类中出现了约3%的错误。与对分离的分布图进行分类时的错误率相比,核型分析分布图获得的错误率较低的原因被认为是使用了(正常)中期组成的先验知识以及在中期内对各个分布图进行适当比较的可能性。对分离的打印件和分布图的分类比较显示出不同的错误模式,基于此认为打印件构成了比分布图更好的视觉分类基础。结果似乎表明了两种改进带型染色体计算机分类的方法:(1)应从数字化染色体图像中以优于产生分布图的简单整合方式提取染色体中有价值的信息(带型模式、形状等);(2)计算机核型分析应模拟人类方法,从而利用中期组成的先验知识并能够对各个染色体进行适当比较。

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