Analysis of complex chromosomal structural variants through optical genome mapping integrated with karyotyping.

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY
Frontiers in Genetics Pub Date : 2025-08-25 eCollection Date: 2025-01-01 DOI:10.3389/fgene.2025.1605461
Xiaoxi Zhu, Huiling Zheng, Xue Wan, Hang Duan, Ying Qi, Weijia Tang, Fan Yang, Limei Yu
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引用次数: 0

Abstract

Background and objective: Parental chromosomal structural variations (SVs) represent a primary genetic factor contributing to recurrent spontaneous abortion (RSA). Individuals carrying SVs with complex chromosomal rearrangements (CCRs) typically exhibit a normal phenotype but are at an increased risk of miscarriage. Current standard clinical detection methods are insufficient for the identification and interpretation of all SV types, particularly complex and occult SVs, thereby presenting a significant challenge for clinical genetic counseling. Leveraging the high-resolution capabilities of optical genome mapping (OGM) technology, this study aims to rapidly and accurately identify complex SVs in RSA couples. Furthermore, it seeks to conduct an in-depth analysis of the genetic information within the breakpoint regions, thereby providing a more comprehensive scientific foundation for genetic counseling of RSA couples at both the cellular and genetic levels.

Material and methods: This study involved the selection of nine subjects from two families who underwent genetic counseling at our hospital. Family 1 comprised a couple with the wife as a SVs carrier, and both her parents and brother were simultaneously analyzed for chromosomal karyotype. Family 2 included a couple with the husband as the SVs carrier, with his parents also undergoing chromosomal karyotype analysis. For SVs carriers whose karyotype analysis did not elucidate the recombination pattern, optical genome mapping (OGM) technology was utilized for further investigation, followed by Sanger sequencing to validate the OGM findings.

Results: In Family 1, only the wife was identified as an SVs carrier. Initial chromosomal karyotype analysis suggested a karyotype of 46,XX,t (5; 6;8; 13; 15) (?). However, OGM analysis ultimately confirmed the karyotype as 46,XY,der (5)t (5; 13) (q35.2; q21.32), der (6)t (6; 8) (q25.3; q13.1)ins (6; 13) (q25.3; q21.32q21.33),der (8)t (6; 8) (q26; q13.1)ins (8; 13) (q13.1; q21.33q22.1),der (13)t (13; 15) (q21.32; q26.1)ins (13; 6) (q21.32; q25.3q26), der (15)t (5; 15) (q35.2; q26.1). Furthermore, OGM identified a novel translocation variant of the KIF7 gene that is associated with recurrent miscarriage. In Family 2, both the husband and his maternal parent were identified as SVs carriers. Nuclear type analysis revealed a karyotype of 46,XY,?t (1; 6) (q42; p21) (husband) and 46,XX,?t (1; 2) (p31.1; q24.1),?t (1; 6) (q42; p21) (mother). Through OGM detection and analysis, the final karyotype was determined to be 46,XY,ins (1; 6) (q42.2; p22.3p11.3) (husband) and 46,XX,der (1)t (1; 2) (p31.1; q24.1)ins (1; 6) (q42.2; p22.3p11.3), der (2) t (1; 2), der (6)ins (1; 6) (mother).

Conclusion: OGM technology facilitates the rapid and precise identification of complex chromosomal structural variations, effectively overcoming the limitations associated with traditional karyotype G-banding techniques in detecting intricate and cryptic SVs. This advancement substantially enhances the diagnostic rates of genetic etiology in patients experiencing RSA. The present study elucidates the specific manifestations of complex SVs using OGM technology, accurately pinpointing breakpoints and interpreting affected gene information. This provides novel reference approaches and evidence for disease assessment and genetic counseling in RSA patients. However, it is important to acknowledge certain limitations of this research: the study's inclusion of only two RSA family cohorts (comprising nine participants) may limit the generalizability of its conclusions due to the small sample size, necessitating further validation through large-scale studies. Additionally, the causal relationship between KIF7 gene dysfunction and recurrent miscarriage remains to be experimentally verified in subsequent research.

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利用光学基因组作图结合核型分析复杂染色体结构变异。
背景与目的:亲本染色体结构变异(SVs)是导致复发性自然流产(RSA)的主要遗传因素。携带具有复杂染色体重排(CCRs)的SVs的个体通常表现为正常表型,但流产风险增加。目前标准的临床检测方法不足以识别和解释所有SV类型,特别是复杂和隐匿性SV,因此对临床遗传咨询提出了重大挑战。利用光学基因组定位(OGM)技术的高分辨率能力,本研究旨在快速准确地识别RSA对中的复杂sv。进一步对断点区域内的遗传信息进行深入分析,从而在细胞水平和遗传水平上为RSA夫妇的遗传咨询提供更全面的科学依据。材料与方法:本研究选取了在我院接受遗传咨询的两个家庭的9名受试者。家庭1由一对夫妇组成,其中妻子为SVs携带者,同时对其父母和兄弟进行染色体核型分析。家庭2包括一对夫妇,丈夫为SVs携带者,他的父母也进行了染色体核型分析。对于核型分析未阐明重组模式的SVs携带者,利用光学基因组图谱(OGM)技术进行进一步研究,然后采用Sanger测序验证OGM结果。结果:在家族1中,只有妻子被鉴定为SVs携带者。初步染色体核型分析提示核型为46,XX,t(5; 6;8; 13; 15)。然而,OGM分析最终证实核型为46,XY,der (5)t (5; 13) (q35.2; q21.32), der (6)t (6; 8) (q25.3; q13.1)ins (6; 13) (q25.3; q21.32q21.33),der (8)t (6; 8) (q26; q13.1)ins (8; 13) (q13.1; q21.33q22.1),der (13)t (13; 15) (q21.32; q25.3q26) ins (13; 6) (q21.32; q25.3q26), der (15)t (5; 15) (q35.2; q26.1)。此外,OGM还发现了与复发性流产相关的KIF7基因的一种新的易位变异。在家庭2中,丈夫和他的父母都被确定为SVs携带者。核型分析显示核型为46,XY,?t (1; 6) (q42; p21)(丈夫)和46,XX,?T (1; 2) (p31.1; q24.1),?T (1; 6) (q42; p21)(母亲)。通过OGM检测和分析,确定最终核型为46,XY,ins (1; 6) (q42.2; p22.3p11.3)(丈夫)和46,XX,der (1)t (1; 2) (p31.1; q24.1)ins (1; 6) (q42.2; p22.3p11.3), der (2) t (1; 2), der (6)ins(1; 6)(母亲)。结论:OGM技术有助于快速、准确地鉴定复杂的染色体结构变异,有效地克服了传统核型g带技术在检测复杂和隐型sv方面的局限性。这一进展大大提高了RSA患者遗传病因的诊断率。本研究利用OGM技术阐明复杂SVs的具体表现,准确定位断点并解释受影响的基因信息。这为RSA患者的疾病评估和遗传咨询提供了新的参考方法和证据。然而,重要的是要承认本研究的某些局限性:该研究仅纳入两个RSA家庭队列(包括9名参与者),由于样本量小,可能限制了其结论的普遍性,需要通过大规模研究进一步验证。此外,KIF7基因功能障碍与复发性流产的因果关系有待后续研究的实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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