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A simple method for calculating the likelihood ratio in a kinship test using X-chromosomal markers incorporating linkage, linkage disequilibrium, and mutation

机译:使用掺入连杆,连杆不平衡和突变的X-染色体标记来计算血缘关系试验中的似然比的简单方法

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X-chromosomal short tandem repeats (X-STRs) are useful for personal identification and kinship tests. However, it has not yet been fully established how to incorporate linkage and linkage disequilibrium (LD) into the calculation of the likelihood ratio (LR). In this paper, we describe a simple calculation method of LR for X-STRs that incorporated linkage, LD, and mutations. Initially, Japanese population data of 27 X-STRs (DXS6807, DXS9902, DXS6795, DXS6810, DXS10076, DXS10077, DXS10078, DXS10162, DXS10163, DXS10164, DXS7132, DXS981, DXS6800, DXS6803, DXS6809, DXS6789, DXS6799, DXS7424, DXS101, DXS7133, GATA172D05, DXS10103, HPRTB, GATA31E08, DXS8377, DXS10147, and DXS7423) were collected from 748 unrelated individuals to estimate the influence of LD. Significant LD was observed on six pairs of loci. Subsequently, using the population data, a simulation study was performed to evaluate the validity of the present calculation method for LR in cases of father-daughter, full-sisters, paternal half-sisters, maternal half-sisters, and unrelated pairs of females (FD, FS, PHS, MHS, and UR, respectively). As a result, the distribution of LR among FD was completely separated from that among UR. In the sibship test, 98.6% of FS and 98.0% of PHS surpassed the maximum value of UR in combined LR. Even in the FS versus MHS setting, 60.5% of FS had a higher LR than any MHS. We conclude that the present model is powerful in discriminating the relationship and is able to obtain a reasonable LR with fewer computations.
机译:X-染色体短串联重复(X-STR)可用于个人识别和亲属性测试。然而,尚未完全建立如何将联动和连接不平衡(LD)掺入似然比(LR)的计算中。在本文中,我们描述了一种简单的LR用于X-STR的简单计算方法,其掺入了LINKAGE,LD和突变。最初,27 X-个STR(DXS6807,DXS9902,DXS6795,DXS6810,DXS10076,DXS10077,DXS10078,DXS10162,DXS10163,DXS10164,DXS7132,DXS981,DXS6800,DXS6803,DXS6809,DXS6789,DXS6799,DXS7424,DXS101,DXS7133日本人群数据从748个不相关的个​​体收集Gata172D05,DXS10103,HPRTB,GATA31E08,DXS8377,DXS7423和DXS7423,以估计LD的影响。在六对基位上观察到显着的LD。随后,使用人口数据,进行仿真研究,以评估父母,全姐妹,父亲半姐妹,母体半姐妹和不相关的女性的LR目前计算方法的有效性( FD,FS,PHS,MHS和UR)。结果,FD之间的LR分布完全与UR中的分开。在Sibship测试中,98.6%的FS和98.0%的pHS超过了LR中UR的最大值。即使在FS与MHS设置中,也有60.5%的FS具有比任何MHS更高的LR。我们得出结论,目前模型在鉴别关系方面是强大的,并且能够以更少的计算获得合理的LR。

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