Hebei Key Laboratory of Forensic Medicine, College of Forensic Medicine, Hebei Medical University, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, No. 361 Zhong Shan Road, Shijiazhuang, Hebei, China.
Hebei Key Laboratory of Forensic Medicine, College of Forensic Medicine, Hebei Medical University, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, No. 361 Zhong Shan Road, Shijiazhuang, Hebei, China.
Forensic Sci Int Genet. 2023 Jul;65:102855. doi: 10.1016/j.fsigen.2023.102855. Epub 2023 Mar 7.
Distant kinship identification is one of the critical problems in forensic genetics. As a new type of genetic marker defined and discussed in the last decade, the microhaplotype (MH) has drawn much attention in such identification owing to its specific advantages to traditional short tandem repeat (STR) or single nucleotide polymorphism (SNP) markers. In this study, MH markers were screened step by step from the 1000 Genomes Project database, and a novel multiplex panel containing 188 MHs (in which 181 are reported the first time, while 1 was reported in a previous study and the other 6 have partial overlaps with known markers) was constructed for application in 2nd- and 3rd-degree kinship identification. Along with the construction, a novel MH nomenclature was proposed, in which the SNP position information they contained was taken into account to eliminate the possibility that the same locus was named differently interlaboratory. After a series of evaluations, the panel was shown to have good sequencing accuracy, high sensitivity, species specificity, and resistance to anti-PCR inhibitors or degradation. Population data of the 188 MHs were calculated based on the genetic information of 221 unrelated Hebei Han individuals, and the effective number of alleles (Ae) ranged from 2.0925 to 8.2634 (with an average of 2.9267). For the whole system, the cumulative matching probability (CMP), the cumulative power of exclusion in paternity testing of duos (CPEduo) and that of trios (CPEtrio) reached 2.8422 × 10, 1-1.3109 × 10, and 1-2.8975 × 10, respectively, indicating that this panel was satisfactory for individual identification and paternity testing. Then, the efficiency of the 188 MHs in 2nd- and 3rd-degree kinship testing was studied based on 30 extended families consisting of 179 2nd-degree and 121 3rd-degree relatives, as well as simulations of 0.5 million pairs of those two kinships. The results showed that clear opinions would be given in 83.36% of 2nd-degree identifications with a false rate less than 10, when the confirming and excluding thresholds of cumulative likelihood ratio (CLR) were set as 10 and 10, respectively. This panel is still not sufficient to solve the problem of 3rd-degree kinship identification alone, and approximately 300 or 870 MH loci would be needed in 2nd- or 3rd-degree kinship identification, respectively, to achieve a system efficiency not less than 0.99 with such a threshold set; such necessary numbers would be used only as a reference in further research.
远亲属关系鉴定是法医学遗传学中的关键问题之一。微单倍型(microhaplotype,MH)作为过去十年定义和讨论的一种新型遗传标记,由于其相对于传统短串联重复(short tandem repeat,STR)或单核苷酸多态性(single nucleotide polymorphism,SNP)标记具有特定优势,因此在这种鉴定中引起了广泛关注。在本研究中,我们从 1000 基因组计划(1000 Genomes Project)数据库中逐步筛选 MH 标记,并构建了一个新的包含 188 个 MH 的多重检测 panel(其中 181 个是首次报道,1 个是之前研究报道的,另外 6 个与已知标记有部分重叠),用于二级和三级亲属关系鉴定。在构建 panel 的同时,我们提出了一种新的 MH 命名法,其中考虑了它们所包含的 SNP 位置信息,以消除不同实验室对同一基因座进行不同命名的可能性。经过一系列评估,该 panel 显示出良好的测序准确性、高灵敏度、物种特异性以及抗 PCR 抑制剂或降解的能力。根据 221 名河北汉族无关个体的遗传信息,计算了 188 个 MH 的群体数据,有效等位基因数(Ae)范围为 2.0925 至 8.2634(平均 2.9267)。对于整个系统,累积匹配概率(cumulative matching probability,CMP)、父子关系鉴定中二级亲属的累积排除概率(cumulative power of exclusion in paternity testing of duos,CPEduo)和三级亲属的累积排除概率(cumulative power of exclusion in paternity testing of trios,CPEtrio)分别达到 2.8422×10-8、1-1.3109×10-5和 1-2.8975×10-5,表明该 panel 足以满足个体识别和父子关系鉴定的需求。然后,我们基于包含 179 名二级亲属和 121 名三级亲属的 30 个扩展家庭,以及对这两种亲属关系的 0.5 百万对模拟,研究了 188 个 MH 在二级和三级亲属关系鉴定中的效率。结果表明,当累积似然比(cumulative likelihood ratio,CLR)的确认和排除阈值分别设置为 10 和 10 时,83.36%的二级亲属关系鉴定可得出明确意见,假阳性率小于 10%。然而,该 panel 尚不足以单独解决三级亲属关系鉴定的问题,在设定相同的阈值下,二级或三级亲属关系鉴定分别需要约 300 或 870 个 MH 位点,以达到系统效率不低于 0.99;这些必要数量仅作为进一步研究的参考。