Literature DB >> 28870863

Use of targeted sequence capture and high-throughput sequencing identifies a novel PKD1 mutation involved in adult polycystic kidney disease.

Yan-Kun Sha1, Yan-Wei Sha2, Li-Bin Mei2, Xian-Jing Huang2, Xu Wang2, Shao-Bin Lin2, Lin Li3, Ping Li4.   

Abstract

Polycystic kidney disease (PKD) is a common inherited disease that is characterized by a progressive development of renal cysts. Approximately 85% of PKD cases are due to mutations in the polycystin 1 (PKD1) gene. Here, we report a pedigree containing nine patients with autosomal dominant PKD (ADPKD). Using targeted exome sequencing of PKD1 and PKD2 genes, we identified a novel heterozygous frameshift mutation c.3976_3977insCT (p.F1326Sfs*21) in the PKD1 gene that segregated between affected and unaffected family members. This mutation is currently not present in the 1000 Genomes Project nor ExAC databases and is therefore a novel PKD1 mutation involved in ADPKD. These results provide a novel sequence variant for the genetic analysis of this disease.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Autosomal dominant PKD; High-throughput sequencing; PKD1; Polycystic kidney disease

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Year:  2017        PMID: 28870863     DOI: 10.1016/j.gene.2017.08.040

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  2 in total

1.  Identification of a pathogenic mutation in a Chinese pedigree with polycystic kidney disease.

Authors:  Kexian Dong; Huanhuan Miao; Xueyuan Jia; Jie Wu; Han Wu; Jiawei Sun; Wei Ji; Hui Su; Lidan Xu; Xuelong Zhang; Siqi Zhu; Guohua Ji; Rongwei Guan; Hao Wang; Jing Bai; Jingcui Yu; Wenjing Sun; Xianli Zhou; Songbin Fu
Journal:  Mol Med Rep       Date:  2019-01-31       Impact factor: 2.952

2.  A single-center analysis of genotype-phenotype characteristics of Chinese patients with autosomal dominant polycystic kidney disease by targeted exome sequencing.

Authors:  Ziyan Yan; Yuchen Wang; Wenfeng Deng; Yi Zhou; Yangcheng Hu; Ka Qi; Ding Liu; Renfei Xia; Rumin Liu; Wenli Zeng; Wei Zhang; Jian Xu; Fu Xiong; Yun Miao
Journal:  Front Genet       Date:  2022-09-15       Impact factor: 4.772

  2 in total

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