The Importance of Copy Number Variant Analysis in Patients with Monogenic Kidney Disease

IF 8.3 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Laura R. Claus , Robert F. Ernst , Martin G. Elferink , Hanneke W.M. van Deutekom , Bert van der Zwaag , Albertien M. van Eerde
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Abstract

Introduction

Genetic testing can reveal monogenic causes of kidney diseases, offering diagnostic, therapeutic, and prognostic benefits. Although single nucleotide variants (SNVs) and copy number variants (CNVs) can result in kidney disease, CNV analysis is not always included in genetic testing.

Methods

We investigated the diagnostic value of CNV analysis in 2432 patients with kidney disease genetically tested at the University Medical Centre Utrecht between 2014 and May 2022. We combined previous diagnostic testing results, encompassing SNVs and CNVs, with newly acquired results based on retrospective CNV analysis. The reported yield considers both the American College of Medical Genetics and Genomics (ACMG) classification and whether the genotype actually results in disease.

Results

We report a diagnostic yield of at least 23% for our complete diagnostic cohort. The total diagnostic yield based solely on CNVs was 2.4%. The overall contribution of CNV analysis, defined as the proportion of positive genetic tests requiring CNV analysis, was 10.5% and varied among different disease subcategories, with the highest impact seen in congenital anomalies of the kidney and urinary tract (CAKUT) and chronic kidney disease at a young age. We highlight the efficiency of exome-based CNV calling, which reduces the need for additional diagnostic tests. Furthermore, a complex structural variant, likely a COL4A4 founder variant, was identified. Additional findings unrelated to kidney diseases were reported in a small percentage of cases.

Conclusion

In summary, this study demonstrates the substantial diagnostic value of CNV analysis, providing insights into its contribution to the diagnostic yield and advocating for its routine inclusion in genetic testing of patients with kidney disease.

Abstract Image

拷贝数变异分析在单基因肾病患者中的重要性
基因检测可以揭示肾脏疾病的单基因病因,从而提供诊断、治疗和预后方面的益处。虽然单核苷酸变异(SNVs)和拷贝数变异(CNVs)可导致肾病,但 CNV 分析并不总是包括在基因检测中。我们调查了 2014 年至 2022 年 5 月间在乌得勒支大学医学中心接受基因检测的 2432 名肾病患者中 CNV 分析的诊断价值。我们将先前的诊断测试结果(包括 SNV 和 CNV)与基于回顾性 CNV 分析的新结果相结合。报告的诊断率既考虑了美国医学遗传学和基因组学学会(ACMG)的分类,也考虑了基因型是否真正导致疾病。我们报告的完整诊断队列的诊断率至少为 23%。仅基于 CNV 的总诊断率为 2.4%。CNV 分析的总体贡献率(定义为需要 CNV 分析的阳性基因检测比例)为 10.5%,不同疾病亚类的贡献率各不相同,其中影响最大的是先天性肾脏和泌尿道异常 (CAKUT) 以及年轻时的慢性肾脏疾病。我们强调了基于外显子的 CNV 调用的效率,它减少了对额外诊断测试的需求。此外,还发现了一个复杂的结构变异,很可能是创始变异。有一小部分病例报告了与肾脏疾病无关的其他发现。总之,本研究证明了 CNV 分析的巨大诊断价值,深入了解了 CNV 分析对诊断结果的贡献,并提倡将 CNV 分析常规纳入肾病患者的基因检测中。
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来源期刊
ACS Applied Materials & Interfaces
ACS Applied Materials & Interfaces 工程技术-材料科学:综合
CiteScore
16.00
自引率
6.30%
发文量
4978
审稿时长
1.8 months
期刊介绍: ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.
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