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Disease causing property analyzation of variants in 12 Chinese families with polycystic kidney disease

Authors :
Kexian Dong
Xiaogang Liu
Xueyuan Jia
Huanhuan Miao
Wei Ji
Jie Wu
Yun Huang
Lidan Xu
Xuelong Zhang
Hui Su
Guohua Ji
Peng Liu
Rongwei Guan
Jing Bai
Songbin Fu
Xianli Zhou
Wenjing Sun
Source :
Molecular Genetics & Genomic Medicine, Vol 8, Iss 11, Pp n/a-n/a (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Abstract Background Polycystic kidney disease (PKD) is an inherited disease that is life‐threatening. Multiple cysts are present in the bilateral kidneys of PKD patients. The progressively enlarged cysts cause structural damage and loss of kidney function. Methods This study examined and analyzed 12 families with polycystic kidney disease. Whole exome sequencing (WES) or whole genome sequencing (WGS) of the probands was performed to detect the pathogenic genes. The candidate gene segments for lineal consanguinity in the family were amplified by the nest PCR followed by Sanger sequencing. The variants were assessed by pathogenic and conservational property prediction analysis and interpreted according to the American College of Medical Genetics and Genomics. Results Nine of the 12 pedigrees were identified the disease causing variants. Among them, four novel variants in PKD1, c.6930delG:p.C2311Vfs*3, c.1216T>C:p.C406R, c.8548T>C:p.S2850P, and c.3865G>A:p.V1289M (NM_001009944.2) were detected. After assessment, the four novel variants were considered to be pathogenic variants and cause autosomal dominant polycystic kidney disease in family. The detected variants were interpreted. Conclusion The four novel variants in PKD1, c.6930delG:p.C2311Vfs*3, c.1216T>C:p.C406R, c.8548T>C:p.S2850P, and c.3865G>A:p.V1289M (NM_001009944.2) are pathogenic variants and cause autosomal dominant polycystic kidney disease in family.

Details

Language :
English
ISSN :
23249269
Volume :
8
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Molecular Genetics & Genomic Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.16605bf88ed499c894647ff66e9be20
Document Type :
article
Full Text :
https://doi.org/10.1002/mgg3.1467