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PDE1A polymorphism contributes to the susceptibility of nephrolithiasis

Overview of attention for article published in BMC Genomics, December 2017
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Title
PDE1A polymorphism contributes to the susceptibility of nephrolithiasis
Published in
BMC Genomics, December 2017
DOI 10.1186/s12864-017-4247-8
Pubmed ID
Authors

Zhenxing Yang, Tao Zhou, Bishao Sun, Qingqing Wang, Xingyou Dong, Xiaoyan Hu, Jiangfan Zhong, Bo Song, Longkun Li

Abstract

Previous studies have confirmed a family risk of nephrolithiasis (NL), but only 15% of all cases are associated with an identified monogenic factor. In clinical practice, our group encountered a patient with NL combined with cystic kidney disease that had 3 affected family members. No known mutations association with NL was detected in this family, and thus further investigation of the molecular cause of NL was deemed to be necessary. Quality analysis from the sequencing stage showed a more than 80-fold average depth and 95% coverage for each sample, and six mutations within six genes were chosen as candidate variants for further validation. Genotyping of rs182089527in the phosphodiesterase 1A (PDE1A) gene in the validation cohort indicated that the alternative allele was present in 15 patients with heterozygosity and in 1 patient with homozygosity, and exhibited significant enrichment in NL patients (Fisher's exact test, adjusted p = 0.0042) and kidney cystic patients (Fisher's exact test, adjusted p = 0.067) compared to controls. In addition, function analysis displayed a significant decrease in the protein and mRNA expression levels resulting from the rs182089527 mutant sequence compared with the wild-type sequence. Moreover, patients with this mutation displayed a high level of creatinine and urea in urinalysis. Our study provides genetic evidence that the rs182089527 mutation in PDE1A is involved in the development of NL and kidney cysts, which should help to improve personalized medicine for diagnosis and treatment.

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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Student > Bachelor 1 13%
Unknown 3 38%
Readers by discipline Count As %
Nursing and Health Professions 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Agricultural and Biological Sciences 1 13%
Psychology 1 13%
Medicine and Dentistry 1 13%
Other 0 0%
Unknown 2 25%