Cho Sohee, Shin Eunsoon, Park YoonGi, You Haeun, Lee Eun Young, Lee Jong-Eun, Lee Soong Deok
Institute of Forensic and Anthropological Science, Seoul National University Medical Research Center, Seoul, Korea.
DNA Link, Inc., Seoul, Korea.
J Korean Med Sci. 2024 Jul 15;39(27):e198. doi: 10.3346/jkms.2024.39.e198.
Relatives share more genomic regions than unrelated individuals, with closer relatives sharing more regions. This concept, paired with the increased availability of high-throughput single nucleotide polymorphism (SNP) genotyping technologies, has made it feasible to measure the shared chromosomal regions between individuals to assess their level of relation to each other. However, such techniques have remained in the conceptual rather than practical stages in terms of applying measures or indices. Recently, we developed an index called "genetic distance-based index of chromosomal sharing (GD-ICS)" utilizing large-scale SNP data from Korean family samples and demonstrated its potential for practical applications in kinship determination. In the current study, we present validation results from various real cases demonstrating the utility of this method in resolving complex familial relationships where information obtained from traditional short tandem repeats (STRs) or lineage markers is inconclusive.
We obtained large-scale SNP data through microarray analysis from Korean individuals involving 13 kinship cases and calculated GD-ICS values using the method described in our previous study. Based on the GD-ICS reference constructed for Korean families, each disputed kinship was evaluated and validated using a combination of traditional STRs and lineage markers.
The cases comprised those A) that were found to be inconclusive using the traditional approach, B) for which it was difficult to apply traditional testing methods, and C) that were more conclusively resolved using the GD-ICS method. This method has overcome the limitations faced by traditional STRs in kinship testing, particularly in a paternity case with STR mutational events and in confirming distant kinship where the individual of interest is unavailable for testing. It has also been demonstrated to be effective in identifying various relationships without specific presumptions and in confirming a lack of genetic relatedness between individuals.
This method has been proven effective in identifying familial relationships across diverse complex and practical scenarios. It is not only useful when traditional testing methods fail to provide conclusive results, but it also enhances the resolution of challenging kinship cases, which suggests its applicability in various types of practical casework.
亲属比非亲属共享更多的基因组区域,关系越亲密的亲属共享的区域越多。这一概念,再加上高通量单核苷酸多态性(SNP)基因分型技术的可用性不断提高,使得测量个体之间共享的染色体区域以评估他们彼此之间的亲属关系程度成为可能。然而,就应用测量方法或指标而言,此类技术仍处于概念阶段而非实际应用阶段。最近,我们利用来自韩国家庭样本的大规模SNP数据开发了一种名为“基于遗传距离的染色体共享指数(GD-ICS)”的指数,并证明了其在亲属关系鉴定中的实际应用潜力。在当前研究中,我们展示了来自各种实际案例的验证结果,证明了该方法在解决复杂家族关系中的实用性,在这些案例中,从传统短串联重复序列(STR)或谱系标记获得的信息尚无定论。
我们通过微阵列分析从涉及13个亲属关系案例的韩国个体中获得了大规模SNP数据,并使用我们先前研究中描述的方法计算了GD-ICS值。基于为韩国家庭构建的GD-ICS参考,使用传统STR和谱系标记的组合对每个有争议的亲属关系进行评估和验证。
这些案例包括:A)使用传统方法无法得出结论的案例;B)难以应用传统检测方法的案例;C)使用GD-ICS方法能更明确解决的案例。该方法克服了传统STR在亲属关系检测中面临的局限性,特别是在存在STR突变事件的亲子鉴定案例以及确认无法进行检测的感兴趣个体的远亲关系时。它还被证明在无需特定假设的情况下识别各种关系以及确认个体之间不存在遗传相关性方面是有效的。
该方法已被证明在识别各种复杂和实际场景中的家族关系方面是有效的。它不仅在传统检测方法无法提供确凿结果时有用,而且还提高了具有挑战性的亲属关系案例的分辨率,这表明其在各种实际案件工作中的适用性。