Screening of Inherited Retinal Disease Patients in a Low-Resource Setting Using an Augmented Next-Generation Sequencing Panel.

IF 1.5 4区 医学 Q4 GENETICS & HEREDITY
Nicole Midgley, George Rebello, Lara K Holtes, Raj Ramesar, Lisa Roberts
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引用次数: 0

Abstract

Background: Inherited retinal diseases (IRDs) are a clinically and genetically heterogeneous group of disorders affecting millions worldwide. Despite the widespread adoption of next-generation sequencing (NGS) panels, there remains a critical gap in the genetically diverse and understudied African populations.

Methods: One hundred and thirty-five South African patients affected by various IRDs underwent NGS using a custom-targeted panel sequencing over 100 known genes. The panel was supplemented by in silico screening for a MAK-Alu insertion and screening of seven functionally established deep intronic variants.

Results: Through our combined screening strategy, we obtained a probable genetic diagnosis for 56% of the cohort. We identified 83 unique variants in 29 IRD genes underlying the disease, including 16 putative novel variants. Molecular findings prompted recommendations for clinical re-examination in ten patients. Resolution rates varied across clinical classifications and population groups.

Conclusions: This study reports the first use of a targeted NGS panel for IRDs in southern Africa, demonstrating a cost-effective, customisable approach that optimises both diagnostic yield and resource efficiency, making it a valuable tool for IRD molecular characterisation in resource-limited settings. Augmenting the panel by screening for variants relevant to South African patients allowed us to achieve a resolution rate in line with international studies. Our study underscores the importance of investigating diverse populations to bridge disparities in genomic research and improve diagnostic outcomes for underrepresented population groups.

在低资源环境中使用增强型新一代测序面板筛查遗传性视网膜疾病患者。
背景:遗传性视网膜疾病(IRDs)是一组临床和基因异质性疾病,影响着全球数百万人。尽管下一代测序(NGS)面板已被广泛采用,但在基因多样且研究不足的非洲人群中仍存在重大差距:方法:135 名受各种 IRD 影响的南非患者接受了 NGS 测序,使用的是一个定制的靶向测序组,测序了 100 多个已知基因。除了该测序组之外,我们还对 MAK-Alu 插入基因进行了硅学筛选,并对 7 个功能确定的深度内含子变异基因进行了筛选:结果:通过我们的联合筛选策略,56% 的患者得到了可能的基因诊断。我们在该疾病的 29 个 IRD 基因中发现了 83 个独特的变异,其中包括 16 个假定的新型变异。分子研究结果建议对 10 名患者进行临床复查。不同临床分类和人群的诊断率各不相同:本研究报告了在南部非洲首次使用靶向 NGS 面板检测 IRD 的情况,展示了一种具有成本效益、可定制的方法,可优化诊断结果和资源效率,使其成为在资源有限的环境中进行 IRD 分子特征描述的重要工具。通过筛查与南非患者相关的变异体来扩充面板,使我们获得了与国际研究一致的诊断率。我们的研究强调了调查不同人群以消除基因组研究中的差异并改善代表性不足人群的诊断结果的重要性。
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来源期刊
Molecular Genetics & Genomic Medicine
Molecular Genetics & Genomic Medicine Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
4.20
自引率
0.00%
发文量
241
审稿时长
14 weeks
期刊介绍: Molecular Genetics & Genomic Medicine is a peer-reviewed journal for rapid dissemination of quality research related to the dynamically developing areas of human, molecular and medical genetics. The journal publishes original research articles covering findings in phenotypic, molecular, biological, and genomic aspects of genomic variation, inherited disorders and birth defects. The broad publishing spectrum of Molecular Genetics & Genomic Medicine includes rare and common disorders from diagnosis to treatment. Examples of appropriate articles include reports of novel disease genes, functional studies of genetic variants, in-depth genotype-phenotype studies, genomic analysis of inherited disorders, molecular diagnostic methods, medical bioinformatics, ethical, legal, and social implications (ELSI), and approaches to clinical diagnosis. Molecular Genetics & Genomic Medicine provides a scientific home for next generation sequencing studies of rare and common disorders, which will make research in this fascinating area easily and rapidly accessible to the scientific community. This will serve as the basis for translating next generation sequencing studies into individualized diagnostics and therapeutics, for day-to-day medical care. Molecular Genetics & Genomic Medicine publishes original research articles, reviews, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented.
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