Zvyagin V N, Rakitin V A, Fomina E E
Federal state budgetary institution 'Russian Centre of Forensic Medical Expertise', Russian Ministry of Health, Moscow, Russia, 125284.
Tver State Technical University, Tver, Russia, 170026.
Sud Med Ekspert. 2016;59(6):32-37. doi: 10.17116/sudmed201659632-37.
The objective of the present study was the development of the point-digital model for the scaless interpretation of the dermatoglyphic papillary patterns on human fingers that would allow to comprehensively describe, in digital terms, the main characteristics of the traits and perform the quantitative assessment of the frequency of their inheritance. A specially developed computer program, D.glyphic. 7-14 was used to mark the dermatoglyphic patterns on the fingerprints obtained from 30 familial triplets (father + mother + child).The values of all the studied traits for kinship diagnostics were found by calculating the ratios of the sums of differences between the traits in the parent-parent pairs to those in the respective parent-child pairs. The algorithms for the point marking of the traits and reading out the digital information about them have been developed. The traditional dermatoglyphic patterns were selected and the novel ones applied for the use in the framework of the point-digital model for the interpretation of the for diagnostics of consanguineous relationship. The present experimental study has demonstrated the high level of inheritance of the selected traits and the possibility to develop the algorithms and computation techniques for the calculation of consanguineous relationship coefficients based on these traits.
本研究的目的是开发一种点数字模型，用于对人类手指上的皮纹乳头纹进行无尺度解释，从而能够以数字方式全面描述这些特征的主要特性，并对其遗传频率进行定量评估。使用专门开发的计算机程序D.glyphic. 7 - 14对从30个家庭三联体（父亲 + 母亲 + 孩子）获取的指纹上的皮纹模式进行标记。通过计算亲子对中特征差异总和与相应亲子对中特征差异总和的比率，得出用于亲属关系诊断的所有研究特征的值。已经开发出特征点标记和读取有关它们的数字信息的算法。选择了传统的皮纹模式，并将新的模式应用于点数字模型框架中，以用于近亲关系诊断的解释。本实验研究证明了所选特征的高遗传水平，以及基于这些特征开发计算近亲关系系数的算法和计算技术的可能性。
