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Heterozygosity Analysis of Polycystic Kidney Disease 1 Gene Microsatellite Markers for Linkage Analysis of Autosomal Dominant Polycystic Kidney Disease Type 1 in the Iranian Population Publisher



Fatehi R1 ; Khosravi S1 ; Abedi M1 ; Salehi R1 ; Gheisari Y1, 2
Authors
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Authors Affiliations
  1. 1. Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Regenerative Medicine Laboratory, Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Research in Medical Sciences Published:2017


Abstract

Background: Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic cause of end-stage renal disease. Although imaging techniques are a means of accurate diagnosis when the cysts appear in the third or fourth decades of the patient’s life, they are of little value for early diagnosis. Genetic tests are required for preimplantation genetic diagnosis, decision-making for kidney donation to an affected relative. Although mutation of the polycystic kidney disease (PKD1) gene is solely responsible for the most cases of ADPKD, direct genetic testing is limited by the large size of this gene and the presence of many mutations without hot spots. Therefore, indirect diagnosis with linkage analysis using informative microsatellite markers has been suggested. Materials and Methods: In this study, we assessed the informativeness of the PKD1 gene markers D16S475, D16S291, and D16S3252 in Iranian population. Using specific primers, fluorescent polymerase chain reaction (PCR) was performed on genomic DNA extracted from fifty unrelated individuals. PCR products were analyzed by the ALFexpress DNA sequencer system, and the number and frequency of alleles were determined to calculate the heterozygosity (HET) and polymorphism information content (PIC) values. Results: We found that the HET and PIC values for the D16S475 marker are 0.92 and 0.91, respectively. These two values are 0.82 and 0.80 for D16S291 and 0.50 and 0.47 for D16S3252, respectively. Conclusion: Based on this data, D16S475 and D16S291 are highly and D16S3252 is moderately informative for indirect genetic diagnosis of PKD1 mutations in this population. © 2017 Journal of Research in Medical Sciences.
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