Integration of exome sequencing and metabolic evaluation for the diagnosis of children with urolithiasis

Purpose To investigate the prevalence of inherited causes in an early onset urolithiasis cohort and each metabolic subgroup. Methods A retrospective analysis of both metabolic and genomic data was performed for the first 105 pediatric urolithiasis patients who underwent exome sequencing at our hospi...

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Veröffentlicht in:World journal of urology 2021-07, Vol.39 (7), p.2759-2765
Hauptverfasser: Zhao, Yining, Fang, Xiaoliang, Fan, Yanjie, Sun, Yu, He, Lei, Xu, Maosheng, Xu, Guofeng, Li, Yufeng, Huang, Yunteng, Yu, Yongguo, Geng, Hongquan
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Sprache:eng
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Zusammenfassung:Purpose To investigate the prevalence of inherited causes in an early onset urolithiasis cohort and each metabolic subgroup. Methods A retrospective analysis of both metabolic and genomic data was performed for the first 105 pediatric urolithiasis patients who underwent exome sequencing at our hospital from February 2016 to October 2018. Measurements included the diagnostic yield of exome sequencing in the entire cohort and each metabolic subgroup (hyperoxaluria, hypocitraturia, hypercalciuria, hyperuricosuria and cystine stone subgroups). The conformity between molecular diagnoses and metabolic evaluation was also evaluated. Results The present study involved a cohort of 105 pediatric patients with urolithiasis, from which diagnostic variants were identified in 38 patients (36%), including 27 primary hyperoxaluria and 11 cystinuria. In the metabolic subgroup analyses, 41% hyperoxaluria cases were primary hyperoxaluria caused by monogenic defects, and 100% of the causes of cystine stones could be explained by monogenic defects. However, no appropriate inherited causes were identified for hypocitraturia, hypercalciuria, or hyperuricosuria in the cohort. A high conformity (100%) was obtained between the molecular diagnoses and metabolic evaluation. Conclusion Exome sequencing in a cohort of 105 pediatric patients with urolithiasis yielded a genetic diagnosis in 36% of cases and the molecular diagnostic yield varies substantially across different metabolic abnormalities.
ISSN:0724-4983
1433-8726
DOI:10.1007/s00345-020-03449-9