Contribution of the positional candidate gene OXR1 to premature coronary heart disease and to type 2 diabetes in the Mauritian population Paper Presenter: Nathalie Lan Heng SEM FA, SSR Resource Centre Department of Medicine Author(s): Lan Heng SEM FA, Department of Medicine, Faculty of Science Meera MANRAJ, Department of Medicine, Faculty of Science Annick HEBE, SSR Resource Centre, Department of Medicine, Faculty of Science M Y LEE KWAI YAN, SSR Resource Centre, Department of Medicine, Faculty of Science Sarojini JANKEE, Resource Centre, Department of Medicine, Faculty of Science Asha DOOKUN-SAUMTALLY, Mauritius Sugar Industry Research Institute Paper type: Oral presentation Keywords: coronary heart disease, Type 2 diabetes, OXR1 gene, SNP, Abbreviations: CHD: coronary heart disease; T2D: Type 2 diabetes; SNP: single nucleotide polymorphism; OXR1: Oxidation Resistance 1: NI: North Indian; MAF: minor allele frequency; OR: odds ratio; CI: confidence interval; MS: metabolic syndrome; CONT: control; MSIRI: Mauritius Sugar Industry Research Institute. Background: Previous genome scan carried out in Mauritian families affected by CHD and/or T2D unveiled several chromosomal regions harbouring positional candidate genes for these complex traits (Francke et al, 2001). The chromosomal 8q23 region was a region where microsatellite markers showed simultaneous co-segregation with premature CHD and T2D in the families studied. A strong positional candidate gene within that region appears to be the OXR1 gene, given the role of oxidative stress in the patho-physiology of T2D (Gopaul et al, 2001) or CHD (Ceriello, 2004), the role of mitochondrial metabolism in oxidative stress and the putative role of OXR1 protein in protection against oxidative stress when it is localised to the mitochondrion (Elliot & Volkert, 2004). Objective: The aim of our study was to evaluate the contribution of variants in OXR1 gene to susceptibility to the premature CHD and to T2D in North Indian Mauritian population. Research design and methods: We genotyped 6 tagging SNPs spanning the OXR1 gene with minor allele frequency (MAF) above 0.20 using TaqMan SNP Genotyping Assays (Applied Biosystems, Foster City, USA) in unrelated case-control cohorts from the North-Indian (NI) ethnic group. The patients group included 380 unrelated NI patients affected by premature CHD with or without T2D and the control group included 268 unrelated healthy NI individuals (matched for age) with a normal glucose metabolism and who had no CHD. Genotyping assays were carried out using a real-time PCR apparatus (MJ Research PTC 200, Chromo4 System) found at the Department of Biotechnology of the MSIRI. Genotypes were analysed individually using Epi 2000 (CDC, Atlanta; Jul 2007) and in haplotypes using Haploview v3.32 (Broad Institute, Cambridge, USA; 21 June 2006). Results: Statistical analyses were carried out separately for men and women on 5 out of the 6 SNPs for which reliable genotyping results were available. No allelic/genotypic association was observed between the 4 SNPs: rs2282509, rs1681886, rs1681904, rs6983111 and CHD or T2D. One SNP, rs776959 in intron 9 of the OXR1 gene, however, showed a trend towards association with both CHD and T2D in women only. Major allele T showed allelic association with CHD: OR=1.61(95% CI: 1.0-2.59), pvalue<0.048 and T2D: OR= 1.71 (95% CI: 1.03-2.85), p-value<0.037. Homozygous TT genotype seems to confer a higher risk of CHD: OR=2.15 (95%CI: 1.09-4.25), p-value<0.02 and T2D: OR=2.34 (95%CI: 1.16-4.74), p-value<0.016. Interestingly, further analysis with respect to metabolic syndrome (MS) and its different components showed similar trends of allelic association with allele T: MS: OR=1.75 (1.062.89), p-value<0.03; hypertriglyceridaemia: OR=1.83 (95%CI: 1.04-3.22), p-value<0.035; hypertension: OR=1.69 (1.05-2.71), p-value<0.028. Haplotype analysis of the 5 SNPs showed that haplotype TACGC tend to be protective against CHD in females: OR: 0.60 (95% CI: 0.37-0.96), p-value<0.025. Conclusion: A trend was found towards association between SNP rs776959 and both CHD and T2D phenotypes in the NI female group. Similar results were observed with metabolic syndrome and several of its components. Further replication studies with larger sample size in the female group are needed to confirm evidence of association with this SNP. References: Ceriello Antonio, Motz Enrico (2004). Is Oxidative Stress the pathogenic mechanism underlying insulin resistance, diabetes and cardiovascular disease? The Common soil Hypothesis revisited. Artreioscler Thromb Vasc Biol 2004;24; 816–823. Elliott N.A. & Volkert M.R. (2004). Stress Induction and Mitochondrial Localization of Oxr1 Proteins in Yeast and Humans. Molecular and Cellular Biology, 24: 3180-3187. Francke S, Manraj M, Lacquemant C, Lecoeur C, Lepretre F, Passa P, Hebe A, Corset L, Lee Kwai Yan S, Lahmidi S, Jankee S, Gunness TK, Ramjutun US, Balgobin V, Dina C, Froguel P (2001). A genome-wide scan for coronary heart disease suggests in Indo-Mauritians a susceptibility locus on chromosome 16p13 and replicates linkage with the metabolic syndrome on 3q27. Hum Mol Gen 10: 2751-2765. Gopaul NK, Manraj M, Hébé A, Lee Kwai Yan S, Johnston A, Carrier MJ, Änggard EE: (2001) Oxidative stress could precede endothelial dysfunction and insulin resistance in Indian Mauritians with impaired glucose metabolism. Diabetologia 44: 706-712. Table 1: Comparison of allelic frequencies between CHD patients and control group Male (M) SNP Associated Allele Frequency CHD CONT Female (F) OR (95% CI) P value rs2282509 C 0.483 0.464 1.08 (0.82-1.43) 0.62 rs1681886 G (M) A (F) 0.433 0.393 1.18 (0.89-1.56) 0.26 rs776959 T 0.654 0.635 1.09 (0.81 -1.51) rs1681904 A 0.503 0.469 rs6983111 C (M) T (F) 0.850 0.846 Frequency CHD CONT 0.48 0.414 OR (95% CI) P value 1.31 (0.83-2.06) 0.27 1.07 (0.67-1.72) 0.86 0.653 0.638 0.61 0.680 0.569 1.61 (1.0-2.58) 0.048 1.15 (0.87-1.51) 0.36 0.473 0.441 1.14 (0.72-1.80) 0.63 1.03 (0.70-1.52) 0.95 0.133 1.59 (0.85-2.97) 0.16 0.196 Table 2: Genotypic association between SNP rs776959 and CHD in NI case-control group T/T C/T C/C NI Male CHD CONT n=306 n=167 --------------------129(42%) 68(41%) 142(47%) 76(45%) 35(11%) 23(14%) T/T v/s (C/T & C/C) C/T v/s (T/T & C/C) C/C v/s (C/T & T/T) OR (95%CI) 1.06 (0.70-1.59) 1.04 (0.70-1.54) 0.81 (0.44-1.48) SNP rs776959 Genotypes p-value <0.76 <0.84 <0.93 <0.55 NI Female CHD CONT n=76 n=95 --------------------36(47%) 28(29%) 31(41%) 53(56%) 9(12%) 14(15%) OR (95%CI) 2.15 (1.09-4.25) 0.55 (0.28-1.05) 0.78 (0.29-2.06) p-value <0.05 <0.02 <0.07 <0.74 Table 3: Genotypic association between SNP rs776959 and T2D in NI case-control group NI Male No p-value T2D n=161 n=311 ---------------------67(42%) 130(42%) <0.68 77(48%) 140(45%) 17(11%) 41(13%) SNP rs776959 Genotypes NI Female No T2D n=57 n=114 ---------------------29(51%) 35(31%) 22(39%) 62(54%) 6(10%) 17(15%) T2D T/T C/T C/C T/T v/s (C/T & C/C) C/T v/s (T/T & C/C) C/C v/s (C/T & T/T) OR (95%CI) 0.99 (0.66-1.49) 1.12 (0.75-1.67) 0.78 (0.41-1.47) T2D p-value <0.04 OR (95%CI) 2.34 (1.16-4.74) 0.53 (0.26-1.06) 0.67 (0.20-1.93) <0.95 <0.63 <0.50 <0.016 <0.07 <0.58 Table 4: Haplotypes in OXR1 gene with frequency >0.01 in NI case-control group Male Haplotype Frequency OR (95%CI) CHD CONT CGTAC 0.387 0.376 1.05 (0.79-1.40) TACGC 0.320 0.347 TATGT 0.139 CATAC Female P value Frequency OR (95%CI) P value CHD CONT 0.75 0.340 0.346 0.97 (0.60-1.57) 0.91 0.88 (0.66-1.18) 0.40 0.307 0.425 0.60 (0.37-0.96) 0.025 0.152 0.90 (0.61-1.34) 0.59 0.187 0.122 1.65 (0.87-3.13) 0.104 0.083 0.073 1.18 (0.70-2.02) 0.56 0.120 0,064 2.0 (0.88-4.59) 0.07 TGTAC 0.019 0.009 2.22 (0.59-12.34) 0.24 - - - - TATGC 0.008 0.021 0.39 (0.10-1.43) 0.10 0.020 0.011 1.90 (0.21-22.96) 0.48 TGCGC 0.016 0.004 5.56 (0.78-242.2) 0.10 - - - - A. Male B. Female Figure 1: Analysis of linkage disequilibrium (LD) showed that the 5 SNPs were highly correlated. LD patterns between the 5 SNPs were derived from genotyping data of NI male and female case control cohorts. The pairwise correlation between the SNPs was measured as D’ and shown (x100) in each diamond.