Validation of the Utility of the Genetically Shared Regions of Chromosomes (GD-ICS) Measuring Method in Identifying Complicated Genetic Relatedness.

IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Sohee Cho, Eunsoon Shin, YoonGi Park, Haeun You, Eun Young Lee, Jong-Eun Lee, Soong Deok Lee
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引用次数: 0

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

验证染色体基因共享区(GD-ICS)测量方法在确定复杂遗传相关性中的实用性。
背景亲属比非亲属共享更多的基因组区域,近亲共享的区域更多。这一概念,再加上高通量单核苷酸多态性(SNP)基因分型技术的日益普及,使得测量个体之间共享的染色体区域以评估他们之间的关系变得可行。然而,此类技术在应用措施或指数方面仍停留在概念阶段,而非实践阶段。最近,我们利用来自韩国家族样本的大规模 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,并证明了其在亲缘关系测定中的实际应用潜力。在本研究中,我们展示了各种实际案例的验证结果,证明了这种方法在解决复杂的家族关系问题上的实用性,因为在这些问题上,从传统的短串联重复序列(STR)或世系标记中获得的信息是不确定的:方法:我们通过微阵列分析获得了韩国人的大规模 SNP 数据,涉及 13 个亲缘关系病例,并使用之前研究中描述的方法计算了 GD-ICS 值。根据为韩国家族构建的 GD-ICS 参考值,使用传统 STR 和世系标记对每个有争议的亲属关系进行了评估和验证:这些案例包括:A) 使用传统方法无法得出结论的案例;B) 难以使用传统检测方法的案例;C) 使用 GD-ICS 方法能更明确地解决问题的案例。这种方法克服了传统 STR 在亲缘关系检测中面临的局限性,尤其是在有 STR 变异事件的亲子鉴定案例中,以及在相关个体无法接受检测的情况下确认远亲关系时。此外,该方法还被证明能有效识别各种关系,而无需特定的推断,并能确认个体之间缺乏遗传亲缘关系:结论:这种方法已被证明能在各种复杂和实际的情况下有效识别家族关系。它不仅在传统检测方法无法提供结论性结果时有用,而且还能提高解决具有挑战性的亲属关系案件的能力,这表明它适用于各种类型的实际个案工作。
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来源期刊
Journal of Korean Medical Science
Journal of Korean Medical Science 医学-医学:内科
CiteScore
7.80
自引率
8.90%
发文量
320
审稿时长
3-6 weeks
期刊介绍: The Journal of Korean Medical Science (JKMS) is an international, peer-reviewed Open Access journal of medicine published weekly in English. The Journal’s publisher is the Korean Academy of Medical Sciences (KAMS), Korean Medical Association (KMA). JKMS aims to publish evidence-based, scientific research articles from various disciplines of the medical sciences. The Journal welcomes articles of general interest to medical researchers especially when they contain original information. Articles on the clinical evaluation of drugs and other therapies, epidemiologic studies of the general population, studies on pathogenic organisms and toxic materials, and the toxicities and adverse effects of therapeutics are welcome.
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