Qian Sun, Peiwen Xu, Aiping Mao, Sexin Huang, Jie Li, Libao Chen, Jing Li, Haopeng Kan, Ju Huang, Wenkai Ji, Dayong Si, Junhao Yan, Zi-Jiang Chen, Xuan Gao, Yuan Gao
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引用次数: 0
Abstract
Genetic diagnosis of ADPKD has been challenging due to the variant heterogeneity, presence of duplicated segments, and high GC content of exon 1 in PKD1. In our reproductive center, 40 patients were still genetically undiagnosed or diagnosed without single-nucleotide resolution after testing with a short-read sequencing panel in 312 patients with ADPKD phenotype. A combination of long-range PCR and long-read sequencing approach for PKD1 was performed on these 40 patients. LRS additionally identified 10 pathogenic or likely pathogenic PKD1 variants, including four patients with microgene conversion (c.160_166dup, c.2180T>C, and c.8161+1G>A) between PKD1 and its pseudogenes, three with indels (c.-49_43del, c.2985+2_2985+4del, and c.10709_10760dup), one with likely pathogenic deep intronic variant (c.2908-107G>A) and two with large deletions. LRS also identified nine PKD1 CNVs and precisely determined the breakpoints, while SRS failed to identify two of these CNVs. Therefore, LRS enables higher diagnostic yield of ADPKD and provides significant benefits for genetic counseling.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.