J 2007

Genetic risk factors for diabetic nephropathy on chromosomes 6p and 7q identified by the set-association approach

KAŇKOVÁ, Kateřina, Andrea STEJSKALOVÁ, Lukáš PÁCAL, Svatava TSCHÖPLOVÁ, Miluše HERTLOVÁ et. al.

Basic information

Original name

Genetic risk factors for diabetic nephropathy on chromosomes 6p and 7q identified by the set-association approach

Name in Czech

Identifikace genetických rizikových faktorů pro diabetickou nefropatii na chromozomech 6p a 7q pomocí set-association metody

Authors

KAŇKOVÁ, Kateřina (203 Czech Republic, guarantor), Andrea STEJSKALOVÁ (203 Czech Republic), Lukáš PÁCAL (203 Czech Republic), Svatava TSCHÖPLOVÁ (203 Czech Republic), Miluše HERTLOVÁ (203 Czech Republic), Darja KRUSOVÁ (203 Czech Republic), Lydie IZAKOVIČOVÁ HOLLÁ (203 Czech Republic), Michal BERÁNEK (203 Czech Republic), Anna VAŠKŮ (203 Czech Republic), Sandra BARRAL-RODRIGUEZ (840 United States of America) and Jurg OTT (840 United States of America)

Edition

Diabetologia, Germany, Springer Verlag Berlin, 2007, 0012-186X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30202 Endocrinology and metabolism

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 5.822

RIV identification code

RIV/00216224:14110/07:00020074

Organization unit

Faculty of Medicine

UT WoS

000245521400014

Keywords in English

diabetic nephropathy; endothelin; haplotype; LTA; lymphotoxin A; nitric oxide synthase; NOS3; RAGE; Receptor of Advanced Glycation End products; set-association

Tags

International impact, Reviewed
Změněno: 23/6/2009 09:24, prof. MUDr. Kateřina Kaňková, Ph.D.

Abstract

V originále

Aims: We studied association of a set of 45 SNPs in 20 candidate genes on 8 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 vs. multilocus analysis. Methods: The study comprised a total of 647 in one of the three groups: diabetics with or without DN or non-diabetics. Genotypes were detected by PCR-based methodology (PCR only, PCR + RFLP or allele-specific PCR). Haplotypes were inferred in silico, Set association (programme SUMSTAT) was used for multilocus analysis. Results: After correction for multiple comparisons, one SNP only - RAGE 2184A/G (AGER gene) - showed a significant association with DN (p=0.0006) in single-locus analysis. In multilocus analysis, six SNPs exhibited significant association with DN: 4 SNPs on chromosome 6p (AGER 2184A/G, LTA 252A/G, EDN1 8002G/A, and AGER -429T/C) and 2 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, no significant difference in frequencies of the NOS3 haplotypes on chromosome 7. Logistic regression identified SNPs AGER 2184A/G and NOS3 774C/T together with diabetes duration and HbA1c as significant predictors of DN. Finally, testing for interactions between SNPs on chromosomes 6 and 7 did not furnish significant evidence for epistatic interaction. Conclusions: Using set-association approach we identified significant association of several SNPs on chromosomes 6 and 7 with DN. Both approaches - single and multilocus - represent complementary methods.

In Czech

Aims: We studied association of a set of 45 SNPs in 20 candidate genes on 8 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 vs. multilocus analysis. Methods: The study comprised a total of 647 in one of the three groups: diabetics with or without DN or non-diabetics. Genotypes were detected by PCR-based methodology (PCR only, PCR + RFLP or allele-specific PCR). Haplotypes were inferred in silico, Set association (programme SUMSTAT) was used for multilocus analysis. Results: After correction for multiple comparisons, one SNP only - RAGE 2184A/G (AGER gene) - showed a significant association with DN (p=0.0006) in single-locus analysis. In multilocus analysis, six SNPs exhibited significant association with DN: 4 SNPs on chromosome 6p (AGER 2184A/G, LTA 252A/G, EDN1 8002G/A, and AGER -429T/C) and 2 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, no significant difference in frequencies of the NOS3 haplotypes on chromosome 7. Logistic regression identified SNPs AGER 2184A/G and NOS3 774C/T together with diabetes duration and HbA1c as significant predictors of DN. Finally, testing for interactions between SNPs on chromosomes 6 and 7 did not furnish significant evidence for epistatic interaction. Conclusions: Using set-association approach we identified significant association of several SNPs on chromosomes 6 and 7 with DN. Both approaches - single and multilocus - represent complementary methods.

Links

GA310/06/0827, research and development project
Name: Genetické determinanty pro-/antioxidační rovnováhy v patogeneze respiračních nemocí
Investor: Czech Science Foundation
GP303/02/D127, research and development project
Name: Vztah genetické variability antioxidačního systému k pozdním komplikacím diabetu mellitu
Investor: Czech Science Foundation, Relationship between genetic variability of antioxidant system and late complications of diabetes mellitus
GP303/05/P523, research and development project
Name: Vztah genetických polymorfizmů v kandidátních genech účastnících se procesu angiogeneze k proliferativní retinopatii u diabetes mellitus 2. typu
Investor: Czech Science Foundation, Relationship between genetic variability in candidate genes involved in angiogenesis and proliferative retinopathy in Type 2 diabetes mellitu
MSM 141100002, plan (intention)
Name: Molekulární patofyziologie multigenních chorob
Investor: Ministry of Education, Youth and Sports of the CR, Molecular pathophysiology of multigene diseases