The frequency of @entity827 related XXXX in renal waiting list for transplantation.

@entity1 @entity32 @entity16498 @entity12042 @entity644 @entity827 @entity2783 @entity16502 @entity52014 @entity51049 @entity177 @entity764 @entity16499 @entity158
OBJECTIVE: Our goal is to investigate the distribution of @entity16498 mutations in @entity1 with @entity12042 who are in renal transplant waiting list which is prepared for transplantation. MATERIALS AND METHODS: @entity827 was diagnosed in 25 of the 297 @entity1 between the years 2004 and 2008, who were involved in the study (15 male, 10 female; age 34  7.8). 5 out of 25 @entity1 were transplanted, remaining were waiting for Tx. Biopsy results were @entity2783 and taken from renal (n:16), rectal (n:8) and duodenal (1).All of them were carrier of mutations in both pyrin alleles.The primer cause of @entity177 in our group was @entity2783 . DNA was isolated from 25 whole blood samples. The NanoChip Molecular Biology Workstation (Nanogen) uses electronic microarrays for mutation detection. Exon 2,3,5 and 10 of pyrin gene genotypes were identified in the NanoChip. RESULTS: Genetic analysis of the @entity1 demonstrated that each subject carries either homozygote or compound heterozygote mutations of the gene. The most common mutations were @entity16502 , @entity51049 , @entity16499 and @entity52014 . CONCLUSIONS: The clinic manifestation and complain of our @entity1 were febrile and @entity158 attacks such as in the abdomen, @entity764 due to @entity32 of the peritoneum, pleura and synovial membrane. The major problem in @entity827 is the occurrence of @entity2783 that primarily affects the kidneys causing @entity644 and @entity177 . Dialysis and renal transplantation can be treatment, but it is important to diagnose @entity827 at earliest stages. The percentage of @entity827 @entity1 in our waiting list was 8.4%. Moreover, in our region @entity827 incidence is highly frequent, so @entity827 should be chased by genetically so as to prevent @entity177 due to @entity2783 .
