Prevalence and Genetic Spectrum of Inherited Kidney Diseases
Year: 2026
Type: article
Study design: Observational Study
Abstract: KEY POINTS: A molecular genetic diagnosis was achieved in 31.4% of Chinese families. This study has firstly identified six genes as the principal causative genes underlying CKD in Chinese patients. BACKGROUND: Inherited kidney disease (IKD) significantly contributes to CKD in children, adolescents, and adults. However, large-scale research on the prevalence of IKD in a Chinese population is currently lacking. To address this gap, we use exome sequencing to thoroughly investigate the prevalence and disease spectrum of IKD in a Chinese population. METHODS: Exome sequencing was conducted on 290 patients with kidney disease of unknown etiology from two centers. Genetic test results were interpreted following the American College of Medical Genetics and Genomics guidelines and the criteria for variants of uncertain significance. Clinical data were integrated to establish a definitive diagnosis. RESULTS: A total of 290 patients from 261 families were included in this study. Diagnostic variants were identified in 82 families, yielding a diagnostic rate of 31% (82/261). Six genes ( PKD1 , PKD2 , COL4A3 , COL4A4 , COL4A5 , and UMOD ) accounted for 50% (41/82) of diagnosed cases. Ciliopathies were the most common subtype, followed by tubulopathies, collagenopathies, and podocytopathies. The diagnostic rate was higher in the age groups 20 years or younger and 41 years or older, at 63% and 39%, respectively. Among 51 biopsied patients, glomerular lesions (34/51) were the most common pathological type, followed by tubulointerstitial lesions (11/51). Of the 14 genetic diagnoses, 12 (86%) were consistent with histopathologic findings. CONCLUSIONS: A molecular genetic diagnosis was achieved in 31% of selected Chinese families. Genetic and clinical diagnosis complement each other, highlighting the application value of genetic testing in the diagnosis of IKD.
Source: Kidney360
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W7147373597