Association of F11 polymorphism rs2289252 with deep vein thrombosis and related phenotypes in population of Latvia.

INTRODUCTION: Deep vein thrombosis (DVT) has a strong inherited predisposition that is partly explained by the strong genetic risk factors such as mutations in factor V, prothrombin, antithrombin III, protein C and S genes. Only recently the first GWAS have been performed on DVT resulting in discovery of novel genetic variants, however, the information on the common polymorphisms predisposing to the risk of DVT is still scarce. MATERIALS AND METHODS: Here we selected six SNPs (rs5361 in SELE, rs2066865 in FGG, rs2227589 in SERPINC1, rs1613662 in GP6, rs13146272 in CYP4V2, rs2289252 in F11) reported to be associated with venous thrombosis conditions and studied the association of these common variants in selected case (n=177) and control (n=235) groups from population of Latvia. Genotyping was performed using TaqMan hybridization probe SNP genotyping assay. RESULTS: Patients with DVT had a significantly higher frequency of F11 rs2289252 polymorphism (p=0.001; OR [95%CI]=1.61 [1.20-2.14]). When stratified by recurrence of DVT the tendency was observed that the same SNP had higher OR value in group of DVT patients with repeated episodes of DVT compared to patients with single DVT episode (p=0.009; OR [95%CI]=2.27[1.22-4.21] and p=0.009; OR [95%CI]=1.52[1.11-2.08] respectively), but due to limited group of cases this finding should be replicated. CONCLUSION: We conclude that F11 gene variant rs2289252 contribute to inherited forms of DVT incidence and correlation of other analysed SNPs should be explored in populations with greater sample size and associated with various thrombosis related traits.

BRCA1 gene-related hereditary susceptibility to breast and ovarian cancer in Latvia.

PURPOSE: In this report, we summarise data on BRCA1 gene analysis in Latvia to characterise criteria of genetic testing for breast and ovarian cancer susceptibility. MATERIAL/METHODS: Analysis by SSCP/HD, MALDI-TOF mass spectrometry or DNA sequencing was used for mutation detection. Mutations identified were confirmed by direct DNA sequencing. RESULTS: Out of 1068 breast and 231 ovarian cancer patients from different families: 58 carried the c.5266dupC and 43 carried the c.4035delA mutations. Every 4th patient in our study did not report cancer in the family. The breast cancer was diagnosed earlier in carriers of the c.5266dupC than in carriers of the c.4035delA (p=0.003). The incidence of breast or ovarian cancer does not differ among the 2 mutation carriers in our patient group. The nature of the c.5266dupC mutation might be more deleterious. CONCLUSIONS: We recommend the screening of 4 founder BRCA1 mutations in all breast and ovarian cancer patients in Latvia at diagnosis of disease regardless of family history or age. The BRCA1 screening can be carried out efficiently using the MALDI-TOF mass spectrometry mutation detection method developed in the Biomedical Research and Study Centre (Riga, Latvia).

The role of common and rare MC4R variants and FTO polymorphisms in extreme form of obesity.

Melanocortin 4 receptor (MC4R) is an important regulator of food intake and number of studies report genetic variations influencing the risk of obesity. Here we explored the role of common genetic variation from MC4R locus comparing with SNPs from gene FTO locus, as well as the frequency and functionality of rare MC4R mutations in cohort of 380 severely obese individuals (BMI > 39 kg/m(2)) and 380 lean subjects from the Genome Database of Latvian Population (LGDB). We found correlation for two SNPs--rs11642015 and rs62048402 in the fat mass and obesity-associated protein (FTO) with obesity but no association was detected for rs17782313 located in the MC4R locus in these severely obese individuals. We sequenced the whole gene MC4R coding region in all study subjects and found five previously known heterozygous non-synonymous substitutions V103I, I121T, S127L, V166I and I251L. Expression in mammalian cells showed that the S127L, V166I and double V103I/S127L mutant receptors had significantly decreased quantity at the cell surface compared to the wild type MC4R. We carried out detailed functional analysis of V166I that demonstrated that, despite low abundance in plasma membrane, the V166I variant has lower EC50 value upon αMSH activation than the wild type receptor, while the level of AGRP inhibition was decreased, implying that V166I cause hyperactive satiety signalling. Overall, this study suggest that S127L may be the most frequent functional MC4R mutation leading to the severe obesity in general population and provides new insight into the functionality of population based variants of the MC4R.

Polymorphisms in FTO and near TMEM18 associate with type 2 diabetes and predispose to younger age at diagnosis of diabetes.

Variations in the FTO gene and near the TMEM18 gene are risk factors for common form of obesity, but have also been linked with type 2 diabetes (T2D). Our aim was to investigate the contribution of these variants to risk of T2D in a population in Latvia. Four single nucleotide polymorphisms (SNP) in the first and fourth intronic regions of FTO and one close to TMEM18 were genotyped in 987 patients with T2D and 1080 controls selected from the Latvian Genome Data Base (LGDB). We confirmed association of SNPs in the first intron (rs11642015, rs62048402 and rs9939609) of FTO and rs7561317 representing the TMEM18 locus with T2D. Association between SNP in FTO and T2D remained significant after correction for body mass index (BMI). The rs57103849 located in the fourth intron of FTO and rs7561317 in TMEM18 showed BMI independent association with younger age at diagnosis of T2D. Our results add to the evidence that BMI related variants in and near FTO and TMEM18 may increase the risk for T2D not only through secondary effects of obesity. The influence of variants in the fourth intron of the FTO gene on development of T2D may be mediated by mechanisms other than those manifested by SNPs in the first intron of the same gene.

The association of common SNPs and haplotypes in CETP gene with HDL cholesterol levels in Latvian population.

The heritability of high-density lipoprotein cholesterol (HDL-C) level is estimated at approximately 50%. Recent genome-wide association studies have identified genes involved in regulation of high-density lipoprotein cholesterol (HDL-C) levels. The precise genetic profile determining heritability of HDL-C however are far from complete and there is substantial room for further characterization of genetic profiles influencing blood lipid levels. Here we report an association study comparing the distribution of 139 SNPs from more than 30 genes between groups that represent extreme ends of HDL-C distribution. We genotyped 704 individuals that were selected from Genome Database of Latvian Population. 10 SNPs from CETP gene showed convincing association with low HDL-C levels (rs1800775, rs3764261, rs173539, rs9939224, rs711752, rs708272, rs7203984, rs7205804, rs11076175 and rs9929488) while 34 SNPs from 10 genes were nominally associated (p<0.05) with HDL-C levels. We have also identified haplotypes from CETP with distinct effects on determination of HDL-C levels. Our conclusion: So far the SNPs in CETP gene are identified as the most common genetic factor influencing HDL-C levels in the representative sample from Latvian population.

Association of genetic variation in the organic cation transporters OCT1, OCT2 and multidrug and toxin extrusion 1 transporter protein genes with the gastrointestinal side effects and lower BMI in metformin-treated type 2 diabetes patients.

OBJECTIVE: Metformin is the most widely used oral antidiabetic drug for the treatment of type 2 diabetes (T2D). So far, the number of polymorphisms in SLC22A1, SLC22A2, and SLC47A1 genes coding for organic cation transporter 1 (OCT1), OCT2, and multidrug and toxin extrusion transporter 1 (MATE1) metformin transporters have been described in association with the efficacy of metformin. However, there is no information on the influence of genetic variations within these genes on the side effects of metformin. In this study, we assessed whether five single-nucleotide polymorphisms and two indel polymorphisms are associated with the side effects of metformin in patients with T2D. METHODS: Seven polymorphisms in OCT1, OCT2, and MATE1 genes were compared between 53 T2D patients with side effects of metformin and 193 metformin users without symptoms of metformin intolerance. RESULTS: We found a statistically significant association between the A allele of the rs628031 (P=0.012, odds ratio=0.389, confidence interval 95% [0.186-0.815]) as well as 8 bp insertion (rs36056065) in the OCT1 gene (P=0.002, odds ratio=0.405, confidence interval 95% [0.226-0.724]) and the presence of the side effects of metformin. CONCLUSION: Two genetic variations in OCT1 that are in strong linkage disequilibrium may predispose toward an increased prevalence of the side effects of metformin in patients with T2D.

Single nucleotide polymorphisms of the purinergic 1 receptor are not associated with myocardial infarction in a Latvian population.

The purinergic 1 receptor (P2RY1) has been implicated in development of heart disease and in individual pharmacodynamic response to anticoagulant therapies. However, the association of polymorphisms in the P2RY1 gene with myocardial infarction (MI), and its associated conditions, has yet to be reported in the literature. We evaluated seven known SNPs in P2RY1 for association with MI in a Latvian population. Seven independent parameters that are related to MI [body mass index (BMI), type 2 diabetes (T2D), angina pectoris, hypertension, hyperlipidemia, atrial fibrillation and heart failure] were investigated. No significant association with MI was observed for any of the polymorphisms. Those SNPs for which the P value was close to significance were located in coding or promoter regions. Intriguingly, carriers of the minor allele in the P2RY1 gene locus showed a tendency towards higher onset age for MI, suggesting a possible protective effect of these SNPs against MI or their contribution in progression as opposed to onset. Finally, a linkage disequilibrium (LD) plot was generated for these polymorphisms in the Latvian population. The results of this study suggest that the role of P2RY1 in individuals from Latvian population is likely to be principally involved in platelet aggregation and thromboembolic diseases, and not as a significant contributing factor to the global metabolic syndrome.