Title of article :
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
Author/Authors :
Fatehi, Razieh Department of Genetics and Molecular Biology - Isfahan University of Medical Sciences , Khosravi, Sharifeh Department of Genetics and Molecular Biology - Isfahan University of Medical Sciences , Abedi, Maryam Department of Genetics and Molecular Biology - Isfahan University of Medical Sciences , Salehi, Rasoul Department of Genetics and Molecular Biology - Isfahan University of Medical Sciences , Gheisari, Yousof Department of Genetics and Molecular Biology - Isfahan University of Medical Sciences
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.
Keywords :
Autosomal dominant polycystic kidney disease , linkage analysis , microsatellite markers , polycystic kidney disease 1
Journal title :
Astroparticle Physics