Integration of exome sequencing and metabolic evaluation for the diagnosis of children with urolithiasis
Integration of exome sequencing and metabolic evaluation for the diagnosis of children with urolithiasis
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外显子组测序与代谢评估相结合诊断儿童尿石症
DOI:
10.1007/s00345-020-03449-9
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发表时间:
2020-09
影响因子:
3.4
通讯作者:
Geng Hongquan
中科院分区:
文献类型:
--
作者:
Zhao Yining;Fang Xiaoliang;Fan Yanjie;Sun Yu;He Lei;Xu Maosheng;Xu Guofeng;Li Yufeng;Huang Yunteng;Yu Yongguo;Geng Hongquan
PurposeTo investigate the prevalence of inherited causes in an early onset urolithiasis cohort and each metabolic subgroup.MethodsA 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.ResultsThe 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.ConclusionExome 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.
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影响因子:
2
作者:
Spasovski, Goce;Beck, Bodo B.;Tasic, Velibor
通讯作者:
Tasic, Velibor
影响因子:
--
作者:
T. H. Shepard;Edwin G. Krebs;Lou-sein W. Lee;M. L. Johnson
通讯作者:
T. H. Shepard;Edwin G. Krebs;Lou-sein W. Lee;M. L. Johnson
DOI:
10.2215/cjn.07540715
发表时间:
2016-04-01
影响因子:
9.8
作者:
Braun, Daniela Anne;Lawson, Jennifer Ashley;Hildebrandt, Friedhelm
通讯作者:
Hildebrandt, Friedhelm
影响因子:
0.7
作者:
Cochat, Pierre;Fargue, Sonia;Harambat, Jerome
通讯作者:
Harambat, Jerome
影响因子:
4.6
作者:
Wang W;Fan J;Huang G;Li J;Zhu X;Tian Y;Su L
通讯作者:
Su L