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基于表型的 NGS panel 在遗传性肾脏疾病及其他疾病鉴别诊断中的临床应用

Clinical application of a phenotype-based NGS panel for differential diagnosis of inherited kidney disease and beyond.

机构信息

Division of Clinical Genetics, Department of Pediatrics, Yonsei University, College of Medicine, Severance Children's Hospital, Seoul, South Korea.

Department of Pediatrics, Yonsei University College of Medicine, Severance Children's Hospital, Seoul, South Korea.

出版信息

Clin Genet. 2021 Feb;99(2):236-249. doi: 10.1111/cge.13869. Epub 2020 Dec 7.

Abstract

Understanding the genetic causes of kidney disease is essential for accurate diagnosis and could lead to improved therapeutic strategies and prognosis. To accurately and promptly identify the genetic background of kidney diseases, we applied a targeted next-generation sequencing gene panel including 203 genes associated with kidney disease, as well as diseases originating in other organs with mimicking symptoms of kidney disease, to analyze 51 patients with nonspecific nephrogenic symptoms, followed by validation of its efficacy as a diagnostic tool. We simultaneously screened for copy number variants (CNVs) in each patient to obtain a higher diagnostic yield (molecular diagnostic rate: 39.2%). Notably, one patient suspected of having Bartter syndrome presented with chloride-secreting diarrhea attributable to homozygous SLC26A3 variants. Additionally, in eight patients, NGS confirmed the genetic causes of undefined kidney diseases (8/20, 40%), and initial clinical impression and molecular diagnosis were matched in 11 patients (11/20, 55%). Moreover, we found seven novel pathogenic/likely pathogenic variants in PKD1, PKHD1, COL4A3, and SLC12A1 genes, with a possible pathogenic variant in COL4A3 (c.1229G>A) identified in two unrelated patients. These results suggest that targeted NGS-panel testing performed with CNV analysis might be advantageous for noninvasive and comprehensive diagnosis of suspected genetic kidney diseases.

摘要

了解肾脏疾病的遗传原因对于准确诊断至关重要,并可能导致治疗策略和预后的改善。为了准确、及时地识别肾脏疾病的遗传背景,我们应用了一种靶向的下一代测序基因panel,其中包括 203 个与肾脏疾病以及其他器官起源、具有肾脏疾病类似症状的疾病相关的基因,对 51 名具有非特异性肾源性症状的患者进行分析,随后验证其作为诊断工具的功效。我们同时对每位患者进行拷贝数变异(CNVs)筛查,以获得更高的诊断率(分子诊断率:39.2%)。值得注意的是,一名疑似巴特综合征的患者表现为氯分泌性腹泻,归因于 SLC26A3 基因的纯合变体。此外,在 8 名患者中,NGS 证实了不明原因肾脏疾病的遗传原因(8/20,40%),并且 11 名患者的初始临床印象和分子诊断相匹配(11/20,55%)。此外,我们在 PKD1、PKHD1、COL4A3 和 SLC12A1 基因中发现了七个新的致病性/可能致病性变体,在两个无关的患者中发现了 COL4A3 基因(c.1229G>A)的可能致病性变体。这些结果表明,进行 CNV 分析的靶向 NGS-panel 测试可能有利于疑似遗传性肾脏疾病的非侵入性和全面诊断。

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