Literature DB >> 11691639

Mutational analysis within the 3' region of the PKD1 gene in Japanese families.

K Tsuchiya1, M Komeda, M Takahashi, N Yamashita, M Cigira, T Suzuki, K Suzuki, H Nihei, T Mochizuki.   

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a widespread genetic disease that causes renal failure. One of the genes that is responsible for this disease, PKD1, has been identified and characterized. Many mutations of the PKD1 gene have been identified in the Caucasian population. We investigated the occurrence of mutations in this gene in the Japanese population. We analyzed each exon in the 3' single copy region of the gene between exons 35 and 46 in genomic DNA obtained from 69 patients, using a PCR-based direct sequencing method. Four missense mutations (T3509M, G3559R, R3718Q, R3752W), one deletion mutation (11307del61bp) and one polymorphism (L3753L) were identified, and their presence confirmed by allele-specific oligonucleotide (ASO) hybridization. These were novel mutations, except for R3752W, and three of them were identified in more than two families. Mutation analysis of the PKD1 gene in the Japanese population is being reported for the first time.

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Year:  2001        PMID: 11691639     DOI: 10.1016/s0027-5107(01)00226-3

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  4 in total

1.  Mutational analysis of PKD1 gene in a Chinese family with autosomal dominant polycystic kidney disease.

Authors:  Jingyan Liu; Lanrong Li; Qingmin Liu
Journal:  Int J Clin Exp Pathol       Date:  2015-10-01

2.  Presence of de novo mutations in autosomal dominant polycystic kidney disease patients without family history.

Authors:  Berenice Reed; Kim McFann; William J Kimberling; York Pei; Patricia A Gabow; Karen Christopher; Eric Petersen; Catherine Kelleher; Pamela R Fain; Ann Johnson; Robert W Schrier
Journal:  Am J Kidney Dis       Date:  2008-07-21       Impact factor: 8.860

3.  Identifying gene mutations of Chinese patients with polycystic kidney disease through targeted next-generation sequencing technology.

Authors:  Tao Wang; Qinggang Li; Shunlai Shang; Guangrui Geng; Yuansheng Xie; Guangyan Cai; Xiangmei Chen
Journal:  Mol Genet Genomic Med       Date:  2019-05-06       Impact factor: 2.183

4.  Prediction of Renal Prognosis in Patients with Autosomal Dominant Polycystic Kidney Disease Using PKD1/PKD2 Mutations.

Authors:  Hiroshi Kataoka; Hinata Fukuoka; Shiho Makabe; Rie Yoshida; Atsuko Teraoka; Yusuke Ushio; Taro Akihisa; Shun Manabe; Masayo Sato; Michihiro Mitobe; Ken Tsuchiya; Kosaku Nitta; Toshio Mochizuki
Journal:  J Clin Med       Date:  2020-01-05       Impact factor: 4.241

  4 in total

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