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

Authors :
Dong, Kexian
Liu, Xiaogang
Jia, Xueyuan
Miao, Huanhuan
Ji, Wei
Wu, Jie
Huang, Yun
Xu, Lidan
Zhang, Xuelong
Su, Hui
Ji, Guohua
Liu, Peng
Guan, Rongwei
Bai, Jing
Fu, Songbin
Zhou, Xianli
Sun, Wenjing
Source :
Molecular Genetics & Genomic Medicine; Nov2020, Vol. 8 Issue 11, p1-11, 11p
Publication Year :
2020

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23249269
Volume :
8
Issue :
11
Database :
Complementary Index
Journal :
Molecular Genetics & Genomic Medicine
Publication Type :
Academic Journal
Accession number :
147017533
Full Text :
https://doi.org/10.1002/mgg3.1467