Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification.

AIMS/HYPOTHESIS: Diabetic nephropathy is a major diabetic complication, and diabetes is the leading cause of end-stage renal disease (ESRD). Family studies suggest a hereditary component for diabetic nephropathy. However, only a few genes have been associated with diabetic nephropathy or ESRD in diabetic patients. Our aim was to detect novel genetic variants associated with diabetic nephropathy and ESRD. METHODS: We exploited a novel algorithm, 'Bag of Naive Bayes', whose marker selection strategy is complementary to that of conventional genome-wide association models based on univariate association tests. The analysis was performed on a genome-wide association study of 3,464 patients with type 1 diabetes from the Finnish Diabetic Nephropathy (FinnDiane) Study and subsequently replicated with 4,263 type 1 diabetes patients from the Steno Diabetes Centre, the All Ireland-Warren 3-Genetics of Kidneys in Diabetes UK collection (UK-Republic of Ireland) and the Genetics of Kidneys in Diabetes US Study (GoKinD US). RESULTS: Five genetic loci (WNT4/ZBTB40-rs12137135, RGMA/MCTP2-rs17709344, MAPRE1P2-rs1670754, SEMA6D/SLC24A5-rs12917114 and SIK1-rs2838302) were associated with ESRD in the FinnDiane study. An association between ESRD and rs17709344, tagging the previously identified rs12437854 and located between the RGMA and MCTP2 genes, was replicated in independent case-control cohorts. rs12917114 near SEMA6D was associated with ESRD in the replication cohorts under the genotypic model (p < 0.05), and rs12137135 upstream of WNT4 was associated with ESRD in Steno. CONCLUSIONS/INTERPRETATION: This study supports the previously identified findings on the RGMA/MCTP2 region and suggests novel susceptibility loci for ESRD. This highlights the importance of applying complementary statistical methods to detect novel genetic variants in diabetic nephropathy and, in general, in complex diseases.

CD2AP is associated with end-stage renal disease in patients with type 1 diabetes.

CD2-associated protein (CD2AP) is essential for podocyte function. CD2AP mutations have been found in patients with focal segmental glomerulosclerosis, a disease histologically resembling diabetic nephropathy and often progressing to end-stage renal disease (ESRD). We hypothesised that variations in the CD2AP gene may contribute to susceptibility to glomerular injury in diabetes and investigated if single-nucleotide polymorphisms (SNPs) in CD2AP are associated with diabetic nephropathy in patients with type 1 diabetes. The discovery cohort consisted of 2,251 Finnish patients with type 1 diabetes. SNPs were selected from the HapMap database to cover the CD2AP gene. The associations between genotyped SNPs and diabetic nephropathy or ESRD were analysed with the chi-squared test and logistic regression. Three SNPs were selected for replication in cohorts from Denmark, Italy, the United Kingdom and Ireland. None of the 15 successfully genotyped SNPs were associated with diabetic nephropathy when compared to patients with normal albumin excretion rate. However, when genotype frequencies in patients with ESRD were compared with all other patients, two CD2AP SNPs, rs9369717 and rs9349417, were found to be associated with ESRD. The meta-analysis of the original and two additional European cohorts resulted in significant p values <0.01 for these SNPs. A third SNP, rs6936632, was suggestively associated with ESRD in the Finnish patients and in the meta-analysis of four cohorts. CD2AP gene variants may contribute to susceptibility to ESRD in patients with type 1 diabetes.

Detection of possible restriction sites for type II restriction enzymes in DNA sequences.

In order to make a step forward in the knowledge of the mechanism operating in complex polygenic disorders such as diabetes and obesity, this paper proposes a new algorithm (PRSD -possible restriction site detection) and its implementation in Applied Genetics software. This software can be used for in silico detection of potential (hidden) recognition sites for endonucleases and for nucleotide repeats identification. The recognition sites for endonucleases may result from hidden sequences through deletion or insertion of a specific number of nucleotides. Tests were conducted on DNA sequences downloaded from NCBI servers using specific recognition sites for common type II restriction enzymes introduced in the software database (n = 126). Each possible recognition site indicated by the PRSD algorithm implemented in Applied Genetics was checked and confirmed by NEBcutter V2.0 and Webcutter 2.0 software. In the sequence NG_008724.1 (which includes 63632 nucleotides) we found a high number of potential restriction sites for ECO R1 that may be produced by deletion (n = 43 sites) or insertion (n = 591 sites) of one nucleotide. The second module of Applied Genetics has been designed to find simple repeats sizes with a real future in understanding the role of SNPs (Single Nucleotide Polymorphisms) in the pathogenesis of the complex metabolic disorders. We have tested the presence of simple repetitive sequences in five DNA sequence. The software indicated exact position of each repeats detected in the tested sequences. Future development of Applied Genetics can provide an alternative for powerful tools used to search for restriction sites or repetitive sequences or to improve genotyping methods.

Investigation of P213S SELL gene polymorphism in type 2 diabetes mellitus and related end stage renal disease. A case-control study.

SELL (L-selectin) is a candidate gene for several complex diseases including diabetes mellitus and renal failure. Our aim was to investigate the involvement of P213S SELL gene polymorphism (rs2229569) in type 2 diabetes mellitus (T2DM) and related end stage renal disease (ESRD). Type 2 diabetes mellitus patients without ESRD (n=250) or with ESRD (n=90), ESRD patients without diabetes (n=119) and sex and age matched healthy subjects (n=459) were analyzed in this study. DNA samples from all these subjects were genotyped for the P213S polymorphism by PCR-RFLP technique. Statistical analysis indicated that SELL P213S genotypes and alleles were similar distributed in the patients and control groups (ORSS=0.37, CI 95%: 0.131>0.372>1.06, p=0.05, Yate's correction p=0.09, for T2DM patients without ESRD, ORSS=2.04, CI 95%: 0.365>2.047>1.465, p=0.4, Yate's correction p=0.67, for T2DM patients with ESRD and ORSS=1, CI95%: 0.198>1>5.057, p=1, Yate's correction p=0.67, for non-diabetic with ESRD patients). Also, no significant differences were noticed when we compared the ESRD subjects with diabetes vs. non-diabetic ones (OR=1.798, CI 95%: 0.392>1.798>8.245, p=0.44, Yate's correction p=0.7). No statistically significant results were found in order to sustain the hypothesis of association between SELL gene P213S polymorphism, type 2 diabetes mellitus and end stage renal disease.

Preliminary results in a study regarding the relationship between perlecan gene polymorphism and spinal muscular atrophy type I disease.

Spinal muscular atrophy (SMA) is a neuromuscular disease characterized by weakness and atrophy of proximal muscles. Despite the fact that the disease transmission suggests an autosomal recessive trait, the wide spectrum of clinical manifestations indicates that other genes may contribute to the SMA phenotype. To identify possible modifier genes, the aim of our study was to investigate the relationship between BamH1 perlecan gene polymorphism and SMA type I, the classical severe form of the disease. We genotyped 40 patients with SMA type I disease and 50 subjects without personal or heredo-colateral neuromuscular problems, using the polymerase chain reaction-restriction fragment length polymorphism method. After statistical analysis of the observed genotypes, a significant difference (p = 0.03) could be observed regarding the incidence of TT genotype and T allele in boys with SMA type I compared with affected girls. However, this result cannot be assessed because of the small and unequal number of subjects. We concluded that there might be no association between perlecan gene polymorphism and SMA type I disease.