Integration of exome sequencing and metabolic evaluation for the diagnosis of children with urolithiasis
- PMID: 32936332
- DOI: 10.1007/s00345-020-03449-9
Integration of exome sequencing and metabolic evaluation for the diagnosis of children with urolithiasis
Abstract
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.
Keywords: Exome sequencing; Inherited disease; Metabolic evaluation; Pediatric urolithiasis.
© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.
Comment in
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Urolithiasis/Endourology.J Urol. 2021 Jul;206(1):153-155. doi: 10.1097/JU.0000000000001794. Epub 2021 Apr 16. J Urol. 2021. PMID: 33858175 No abstract available.
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