title: Genetic risk factors for diabetic nephropathy on chromosomes 6p and 7q identified by the set-association approach.
abstract: OBJECTIVE
  In the present study we investigated potential associations of a set of 45 single nucleotide polymorphisms (SNP) in 20 candidate genes on eight chromosomes with diabetic nephropathy (DN) in type 2 diabetes mellitus. We aimed to compare two methodological approaches suitable for analysing susceptibility to complex traits: single- and multi-locus analyses.
  
  
  METHODS
  The study comprised a total of 647 subjects in one of three groups: diabetes with or without DN, or no diabetes. Genotypes were detected by PCR-based methodology (PCR only, PCR plus RFLP, or allele-specific PCR). Haplotypes were inferred in silico. Set association (tested using SUMSTAT software) was used for multilocus analysis.
  
  
  RESULTS
  After correction for multiple comparisons, only one SNP, in the gene encoding the receptor of advanced glycation end products, AGER 2184A/G (gene symbol formerly known as RAGE) showed a significant association with DN (p = 0.0006) in single-locus analysis. In multi-locus analysis, six SNPs exhibited a significant association with DN: four SNPs on chromosome 6p (AGER 2184A/G, LTA 252A/G, EDN1 8002G/A and AGER -429T/C) and two SNPs on chromosome 7q (NOS3 774C/T and NOS3 E298D), omnibus p = 0.033. Haplotype analysis revealed significant differences between DN and control groups in haplotype frequencies on chromosome 6 (p = 0.0002); however, there were no significant difference in the frequencies of the NOS3 haplotypes on chromosome 7. Logistic regression analysis identified SNPs AGER 2184A/G and NOS3 774C/T, together with diabetes duration and HbA1c, as significant predictors of DN. Testing for interactions between SNPs on chromosomes 6 and 7 did not provide significant evidence for epistatic interaction.
  
  
  CONCLUSIONS
  Using the set-association approach we identified significant associations of several SNPs on chromosomes 6 and 7 with DN. The single- and multi-locus analyses represent complementary methods.
authors.affiliation: Faculty of Medicine, Department of Pathophysiology, Masaryk University Brno, Komenskeho nam. 2, 662 43 Brno, Czech Republic. kankov@med.muni.cz
authors.forename: K
authors.initials: K
authors.lastname: Kanková
authors.forename: A
authors.initials: A
authors.lastname: Stejskalová
authors.forename: L
authors.initials: L
authors.lastname: Pácal
authors.forename: S
authors.initials: S
authors.lastname: Tschoplová
authors.forename: M
authors.initials: M
authors.lastname: Hertlová
authors.forename: D
authors.initials: D
authors.lastname: Krusová
authors.forename: L
authors.initials: L
authors.lastname: Izakovicová-Hollá
authors.forename: M
authors.initials: M
authors.lastname: Beránek
authors.forename: A
authors.initials: A
authors.lastname: Vasků
authors.forename: S
authors.initials: S
authors.lastname: Barral
authors.forename: J
authors.initials: J
authors.lastname: Ott
mesh_terms: D000368:Aged; D001499:Bayes Theorem; D002874:Chromosome Mapping; D002896:Chromosomes, Human, Pair 6; D002897:Chromosomes, Human, Pair 7; D018153:Czech Republic / Q000453:epidemiology; D003928:Diabetic Nephropathies / Q000453:epidemiology / Q000235:genetics*; D005260:Female; D005838:Genotype; D006801:Humans; D008297:Male; D008875:Middle Aged; D016133:Polymerase Chain Reaction; D011110:Polymorphism, Genetic; D012016:Reference Values; D012307:Risk Factors