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使用15个高度多态性的犬类STR标记估计随机犬类群体中的身份识别概率。

Estimating the probability of identity in a random dog population using 15 highly polymorphic canine STR markers.

作者信息

Eichmann Cordula, Berger Burkhard, Steinlechner Martin, Parson Walther

机构信息

Institute of Legal Medicine, Medical University of Innsbruck, Müllerstrasse 44, 6020 Innsbruck, Austria.

出版信息

Forensic Sci Int. 2005 Jun 30;151(1):37-44. doi: 10.1016/j.forsciint.2004.07.002.

Abstract

Dog DNA-profiling is becoming an important supplementary technology for the investigation of accident and crime, as dogs are intensely integrated in human social life. We investigated 15 highly polymorphic canine STR markers and two sex-related markers of 131 randomly selected dogs from the area around Innsbruck, Tyrol, Austria, which were co-amplified in three PCR multiplex reactions (ZUBECA6, FH2132, FH2087Ua, ZUBECA4, WILMSTF, PEZ15, PEZ6, FH2611, FH2087Ub, FH2054, PEZ12, PEZ2, FH2010, FH2079 and VWF.X). Linkage testing for our set of marker suggested no evidence for linkage between the loci. Heterozygosity (HET), polymorphism information content (PIC) and the probability of identity (P((ID)theoretical), P((ID)unbiased), P((ID)sib)) were calculated for each marker. The HET((exp))-values of the 15 markers lie between 0.6 (VWF.X) and 0.9 (ZUBECA6), P((ID)sib)-values were found to range between 0.49 (VWF.X) and 0.28 (ZUBECA6). Moreover, the P((ID)sib) was computed for sets of loci by sequentially adding single loci to estimate the information content and the usefulness of the selected marker sets for the identification of dogs. The estimated P((ID)sib) value of all 15 markers amounted to 8.5 x 10(-8). The presented estimations turned out to be a helpful approach for a reasonable choice of markers for the individualisation of dogs.

摘要

由于狗与人类社会生活紧密融合,犬类DNA分析正成为事故和犯罪调查中的一项重要辅助技术。我们对来自奥地利蒂罗尔州因斯布鲁克周边地区的131只随机挑选的狗,研究了15个高度多态性的犬类STR标记和两个与性别相关的标记,这些标记在三个PCR多重反应(ZUBECA6、FH2132、FH2087Ua、ZUBECA4、WILMSTF、PEZ15、PEZ6、FH2611、FH2087Ub、FH2054、PEZ12、PEZ2、FH2010、FH2079和VWF.X)中进行了共扩增。对我们这套标记进行的连锁测试表明,这些位点之间没有连锁证据。计算了每个标记的杂合度(HET)、多态性信息含量(PIC)和个体识别概率(P((ID)理论值)、P((ID)无偏值)、P((ID)同胞值))。15个标记的HET((exp))值在0.6(VWF.X)到0.9(ZUBECA6)之间,P((ID)同胞值)在0.49(VWF.X)到0.28(ZUBECA6)之间。此外,通过依次添加单个位点来计算位点组的P((ID)同胞值),以估计所选标记组在犬类识别中的信息含量和实用性。所有15个标记的估计P((ID)同胞值)为8.5×10(-8)。所给出的估计结果对于合理选择用于犬类个体化的标记是一种有用的方法。

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