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Ubiquitin-associated domain mutations of SQSTM1 in Paget's disease of bone: evidence for a founder effect in patients of British descent.

UNLABELLED: Mutations in the UBA domain of SQSTM1 are a common cause of Paget's disease of bone. Here we show that the most common disease-causing mutation (P392L) is carried on a shared haplotype, consistent with a founder effect and a common ancestral origin. INTRODUCTION: Paget's disease of bone (PDB) is a common condition with a strong genetic component. Mutations affecting the ubiquitin-associated (UBA) domain of sequestosome 1 (SQSTM1) have recently been shown to be an important cause of PDB. The most common mutation results in a proline to leucine amino acid change at codon 392 (P392L), and evidence has been presented to suggest that there may be a recurrent mutation rather than a founder mutation on an ancestral chromosome. Because marked geographical differences exist in the prevalence of PDB, we have investigated the frequency of SQSTM1 mutations in different populations and looked for a founder effect on chromosomes bearing SQSTM1 UBA domain mutations. MATERIALS AND METHODS: We conducted mutation screening of SQSTM1 and performed haplotype analysis using the PHASE software program in 83 kindreds with familial PDB, recruited mainly through clinic referrals in the United Kingdom, Australia, and New Zealand. Similar studies were conducted in 311 individuals with PDB who did not have a family history and 375 age- and sex-matched controls from the United Kingdom. RESULTS: The proportion of patients with familial PDB who had SQSTM1 UBA domain mutations varied somewhat between referral centers from 7.1% (Sydney, Australia) to 50% (Perth, Australia), but the difference between centers was not statistically significant. Haplotype analysis in 311 British patients with PDB who did not have a family history and 375 age- and sex-matched British controls showed that two common haplotypes accounted for about 90% of alleles at the SQSTM1 locus, as defined by common single nucleotide polymorphisms (SNPs) in exon 6 (C916T, G976A) and the 3'UTR (C2503T, T2687G). These were H1 (916T-976A-2503C-2687T) and H2 (916C-976G-2503T-2687G). There was no significant difference in haplotype distribution in PDB cases and controls, but the P392L mutation was found on the H2 haplotype in 25/27 cases (93%), which is significantly more often than expected given the allele frequencies in the normal population (odds ratio, 13.2; 95% CI, 3.1-56.4; p < 0.0001). Similar findings were observed in familial PDB, where 12/13 (92%) of P392L mutations were carried on H2 (odds ratio 17.2; 95% CI, 2.2-138; p = 0.001). CONCLUSIONS: These results provide strong evidence for a founder effect of the SQSTM1 P392L mutation in PDB patients of British descent, irrespective of family history. Our results imply that these individuals share a common ancestor and that the true rate of de novo mutations may be lower than previously suspected.

3' Untranslated Regions↗

Patient interleukin-18 GCG haplotype associates with improved survival and decreased transplant-related mortality after unrelated-donor bone marrow transplantation.

Interleukin-18 (IL-18), a proinflammatory cytokine, is elevated in patients with acute graft-versus-host disease (aGVHD). IL-18 induces Th1 differentiation and cytotoxic T-lymphocyte function, both of which have been implicated in the pathogenesis of aGVHD. However, recent studies have shown that neutralization of IL-18 by antibodies leads to an increased risk of aGVHD-related mortality while administration of IL-18 significantly improved survival. We have genotyped a cohort of 157 patient/donor pairs undergoing unrelated donor bone marrow transplantation (BMT) for three polymorphisms recently identified in the promoter of the IL-18 gene: G-137C, C-607A and G-656T. Using phase software, three main haplotypes were reconstructed: GCG, CAT and GAT. We found no association between the occurrence of aGVHD and patient/donor haplotypes. The presence of the GCG haplotype in patients was associated with significantly decreased risk of transplant-related mortality at 100 d (23% in patients with GCG vs. 48% in patients without GCG, P < 0.01) and at 1 year (36% vs. 65%, P < 0.01). The presence of the GCG haplotype in patients was also associated with improved survival (57% vs. 32%, P < 0.01). Cox regression analysis showed that the presence of the GCG haplotype was associated with a twofold increased probability of survival. These data suggest that the IL-18 promoter GCG haplotype may influence survival after unrelated donor BMT without altering the risk of aGVHD.

Adolescent↗

A population association study of angiotensinogen polymorphisms and haplotypes with left ventricular phenotypes.

Several studies have shown an association between single nucleotide polymorphisms (SNPs) in the angiotensinogen (AGT) gene and hypertension. Because hypertension is a risk factor for left ventricular (LV) hypertrophy and because evidence from animal models suggests that AGT may play a role in the growth and hypertrophy of the heart, we chose to conduct a population association study examining the relationship of 10 SNPs in the AGT gene with 7 different LV phenotypes measured by echocardiography. Participants (336 whites and 441 blacks) were drawn from the Hypertension Genetic Epidemiology Network (HyperGEN) study. Individuals were genotyped for 10 previously identified SNPs within the AGT gene. SNP genotype results were regressed against continuous LV phenotypes to test associations separately in each race. Using a cutoff of P<0.005 to account for multiple testing, we found 1 SNP (rs943580) significantly associated with transmitral early peak filling velocity (MVE) in the black population. We also used Phase 2.0.2 to reconstruct haplotypes from genotype data. Using the same cutoff of P<0.005, we found no haplotypes to be significantly associated with the LV phenotypes. To better understand the association between rs943580 and MVE, we examined AGT haplotype associations with MVE. The single SNP association was driven by a large group of SNPs in high linkage disequilibrium that includes the promoter SNP rs5051.

Aged↗

Estimating haplotype effects on dichotomous outcome for unphased genotype data using a weighted penalized log-likelihood approach.

OBJECTIVE: To develop a method to estimate haplotype effects on dichotomous outcomes when phase is unknown, that can also estimate reliable effects of rare haplotypes. METHODS: In short, the method uses a logistic regression approach, with weights attached to all possible haplotype combinations of an individual. An EM-algorithm was used: in the E-step the weights are estimated, and the M-step consists of maximizing the joint log-likelihood. When rare haplotypes were present, a penalty function was introduced. We compared four different penalties. To investigate statistical properties of our method, we performed a simulation study for different scenarios. The evaluation criteria are the mean bias of the parameter estimates, the root of the mean squared error, the coverage probability, power, Type I error rate and the false discovery rate. RESULTS: For the unpenalized approach, mean bias was small, coverage probabilities were approximately 95%, power ranged from 15.2 to 44.7% depending on haplotype frequency, and Type I error rate was around 5%. All penalty functions reduced the standard errors of the rare haplotypes, but introduced bias. This trade-off decreased power. CONCLUSION: The unpenalized weighted log-likelihood approach performs well. A penalty function can help to estimate an effect for rare haplotypes.

Algorithms↗

Linked vs unlinked markers: multilocus microsatellite haplotype-sharing as a tool to estimate gene flow and introgression.

We have explored the use of multilocus microsatellite haplotypes to study introgression from cultivated (Malus domestica) into wild apple (Malus sylvestris), and to study gene flow among remnant populations of M. sylvestris. A haplotype consisted of alleles at microsatellite loci along one chromosome. As destruction of haplotypes through recombination occurs much faster than loss of alleles due to genetic drift, the lifespan of a multilocus haplotype is much shorter than that of the underlying alleles. When different populations share the same haplotype, this may indicate recent gene flow between populations. Similarly, haplotypes shared between two species would be a strong signal for introgression. As the expected lifespan of a haplotype depends on the strength of the linkage, the length [in centiMorgans (cM)] of the haplotype shared contains information on the number of generations passed. This application of shared haplotypes is distinct from using haplotype-sharing to detect association between markers and a certain trait. We inferred haplotypes for four to eight microsatellite loci on Linkage Group 10 of apple from genotype data using the program phase, and then identified those haplotypes shared between populations and species. Compared with a Bayesian analysis of unlinked microsatellite loci using the program structure, haplotype-sharing detected a partially different set of putative hybrids. Cultivated haplotypes present in M. sylvestris were short (< 1.5 cM), indicating that introgression had taken place many generations ago, except for two Belgian plants that contained a haplotype of 47.1 cM, indicating recent introgression. In the estimation of gene flow, F(ST) based on unlinked loci indicated small (0.032-0.058) but statistically significant differentiation between some populations only. However, various M. sylvestris haplotypes were shared in nearly all pairwise comparisons of populations, and their length indicated recent gene flow. Hence, all Dutch populations should be considered as one conservation unit. The added value of using sharing of multilocus microsatellite haplotypes as a source of population genetic information is discussed.

Belgium↗

Haplotype of signal transducer and activator of transcription 3 gene predicts cardiovascular disease in dialysis patients.

Signal transducer and activator of transcription 3 (STAT3) protein has been linked to cardiovascular disease (CVD) through multiple pathways in experimental and animal studies. STAT3 gene variation was examined as a predictor of incident CVD in a subcohort of 529 incident white dialysis patients. Fifteen single-nucleotide polymorphisms of the STAT3 gene were genotyped. Haplotypes were estimated using software PHASE 2.1, and associations with first CVD event were tested using Cox proportional hazards analysis. Adjusted global tests of haplotype association with incident CVD and inflammation markers were performed using permutated P value in R-package Haplo.score. An a priori specified additive genetic model was assumed for haplotype analysis. Both genotypes (four single nucleotide polymorphisms with P < 0.001) and haplotypes (P = 0.002 overall) were associated with incident CVD. Two major haplotype blocks, blocks A and C, were identified. Compared with common haplotype A-1, A-3 was associated with a hazard ratio (HR) of 0.70 (95% confidence interval [CI] 0.51 to 0.94) for CVD events after adjustment for covariates including C-reactive protein (CRP) and interleukin 6. Compared with common haplotype C-1, C-3 was associated with an adjusted HR of 2.12 (95% CI 1.25 to 3.57) for CVD events. Associations were independent of inflammation markers, but IL-6 levels were 14% lower (geometric mean ratio 0.86; 95% CI 0.77 to 0.96) per copy of haplotype A-3 compared with haplotype A-1 in block A after adjustment for CRP and other risk factors (P = 0.008). Variation in the STAT3 gene is associated with the risk for CVD among white dialysis patients independent of serum IL-6 and CRP levels.

Aged↗

A practical algorithm for optimal inference of haplotypes from diploid populations.

The next phase of human genomics will involve large-scale screens of populations for significant DNA polymorphisms, notably single nucleotide polymorphisms (SNP's). Dense human SNP maps are currently under construction. However, the utility of those maps and screens will be limited by the fact that humans are diploid, and that it is presently difficult to get separate data on the two "copies". Hence genotype (blended) SNP data will be collected, and the desired haplotype (partitioned) data must then be (partially) inferred. A particular non-deterministic inference algorithm was proposed and studied before SNP data was available, and extensively applied more recently to study the first available SNP data. In this paper, we consider the question of whether we can obtain an efficient, deterministic variant of that method to optimize the obtained inferences. Although we have shown elsewhere that the optimization problem is NP-hard, we present here a practical approach based on (integer) linear programming. The method either returns the optimal answer, and a declaration that it is the optimal, or declares that it has failed to find the optimal. The approach works quickly and correctly, finding the optimal on all simulated data tested, data that is expected to be more demanding than realistic biological data.

Algorithms↗

Paraoxonase gene polymorphisms and haplotype analysis in a stroke population.

BACKGROUND: Paraoxonase (PON) has anti-atherogenic activity due to its protective function against low density lipoprotein (LDL) oxidation. Alteration of enzyme activity due to polymorphisms in the PON genes may influence the development of atheroma and thus affect stroke risk. Three PON genes (PON1, PON2 and PON3) have been identifiedand mapped to chromosome 7. METHODS: We looked at the distribution of paraoxonase polymorphisms and haplotype arrangement in 397 Caucasian ischaemic stroke patients and 405 controls. We investigated 6 different common single nucleotide polymorphisms (SNP) in PON genes; two substitutions in PON1 ["A/G": Gln (Q)/Arg (R)] at codon 192 and ["T/A": Leu (L)/Met (M)] at codon 55, two in PON2 at codon 311 ["G/A": Cys (C)/Ser (S)] and codon 148 ["C/G": Ala (A)/Gly (G)] and two SNPs, both "A" to "G" substitutions, in PON3--intronic rs2074353, which we designated PON3-1 and [Ala (A)/Ala (A)] at codon 99, designated as PON3-3. Dynamic Allele Specific Hybridisation (DASH) was used as the genotyping assay. Haplotype analysis was performed using both PHASE and EHPLUS programs. RESULTS: Genotype and allele frequencies were similar in cases and controls. Lipid profiles were not influenced by PON genotype. Haplotype frequencies for the six loci (PON2-148, PON2-311, PON3-3, PON3-1, PON1-55 and PON1-192) were estimated. Comparison of the two programs showed a significant difference in haplotype arrangements with EHPLUS (p-value = 0.005) but not with PHASE Ver.2 (p-value = 0.12). The 112211 (1 = frequent allele, 2 = rare allele) haplotype arrangement was commoner in cases than controls (p = 0.015), and the 111121 haplotype was commoner in controls (p = 0.006). CONCLUSION: Our study did not identify a role for individual paraoxonase gene polymorphisms in the pathogenesis of ischaemic stroke. Findings of haplotype differences should be confirmed in large scale studies. The importance of using a well-validated haplotype analysis program is also underlined.

Aged↗

A comparison of several methods for haplotype frequency estimation and haplotype reconstruction for tightly linked markers from general pedigrees.

Haplotype inference for tightly linked markers from general pedigrees remains a challenging problem. Only a few methods are available to efficiently and accurately estimate haplotype frequencies and reconstruct haplotypes for a large number of tightly linked markers from general pedigrees in the presence of missing data, and their performance has not been carefully and extensively evaluated. In this paper, we compare four published methods for haplotype reconstruction and frequency estimation for tightly linked markers from general pedigrees, including HAPLORE, GENEHUNTER, PedPhase, and MERLIN. We review these methods and discuss the differences between them in terms of the models and computational strategies employed. We assess their performance based on simulations using pedigrees and haplotypes on tightly linked single nucleotide polymorphisms from real studies. We investigate the effect of several factors, including the missing rate, the departure from Hardy-Weinberg Equilibrium, and the sample size, on the accuracy for haplotype inference. We also compare these methods with a widely used method for haplotype inference from unrelated individuals, PHASE, by treating individuals within a pedigree as unrelated samples. This comparison allows us to investigate the relative efficiency in haplotype inference using pedigree data. Our results indicate that incorporation of pedigree information can improve the precision for haplotype frequency estimation and the accuracy for haplotype reconstruction. Among four haplotyping methods capable of analyzing general pedigrees, HAPLORE and MERLIN have comparable performance and outperform the other two methods in almost all situations.

Computer Simulation↗

Two exonic single nucleotide polymorphisms in the microsomal epoxide hydrolase gene are associated with polycystic ovary syndrome.

OBJECTIVE: To determine whether genetic variability in the gene encoding microsomal epoxide hydrolase (EPHX) contributes to individual differences in susceptibility to the development of polycystic ovary syndrome (PCOS). DESIGN: Retrospective case-control study. SETTING: University-based clinic. PATIENT(S): One hundred twelve white women with PCOS and 115 healthy controls. INTERVENTION(S): None. MAIN OUTCOME MEASURES: The presence of two single nucleotide polymorphisms (SNPs), T-->C (Tyr113His) in exon 3 and A-->G (His139Arg) in exon 4, in the EPHX gene. Single point analysis was expanded to pair of loci haplotype analysis to examine the estimated haplotype frequencies of the two SNPs, of unknown phase, in the PCOS and control groups. Estimated haplotype frequencies were assessed using the maximum-likelihood method, using an expectation-maximization algorithm. RESULT(S): Single point allele and genotype distributions in exon 3 and exon 4 of the EPHX gene were not statistically different between the groups. However, according to the haplotype estimation analysis, we observed a significantly elevated frequency of haplotype C-G (His113-Arg139) in the PCOS group versus the control group. The odds ratio for PCOS associated with the low activity haplotype C-G (His113-Arg139) was 2.28 (95% confidence interval 1.1-4.8). CONCLUSION(S): The use of two intragenic single nucleotide polymorphisms jointly in haplotype analysis of association demonstrated that the genetically determined low activity haplotype C-G (His113-Arg139) was significantly associated with PCOS.

Case-Control Studies↗

Two exonic single nucleotide polymorphisms in the microsomal epoxide hydrolase gene are jointly associated with preeclampsia.

This study determined whether genetic variability in exons 3 and 4 of the microsomal epoxide hydrolase gene jointly modifies individual preeclampsia risk. The study also determined whether genetic variability in the gene encoding for microsomal epoxide hydrolase (EPHX) contributes to individual differences in susceptibility to the development of preeclampsia. The study involved 133 preeclamptic and 115 healthy control pregnant women who were genotyped for two single nucleotide polymorphisms (SNPs), T-->C (Tyr113His) in exon 3 and A-->G (His139Arg) in exon 4, in the EPHX gene. Chi-square analysis was used to assess genotype and allele frequency differences between the preeclamptic and control groups. In addition, single-point analysis was expanded to pair of loci haplotype analysis to examine the estimated haplotype frequencies of the two SNPs, of unknown phase, among the preeclamptic and control groups. Estimated haplotype frequencies were assessed using the maximum-likelihood method, employing an expectation-maximization (EM) algorithm. Single-point allele and genotype distributions in exons 3 and 4 of the EPHX gene were not statistically different between the groups. However, according to the haplotype estimation analysis, we observed a significantly elevated frequency of haplotype T-A (Tyr113-His139) among the preeclampsia group vs the control group (P=0.01). The odds ratio for preeclampsia associated with the high-activity haplotype T-A (Tyr113-His139) was 1.61 (95% CI: 1.12-2.32). The use of two intragenic SNPs jointly in haplotype analysis of association demonstrated that the genetically determined high-activity haplotype T-A (Tyr113-His139) was significantly associated with preeclampsia.

Adult↗

Association of single nucleotide polymorphisms of the bile salt export pump gene with intrahepatic cholestasis of pregnancy.

BACKGROUND: We determined whether genetic variability in the gene encoding the bile salt export pump (BSEP) contributes to individual differences in susceptibility to the development of intrahepatic cholestasis of pregnancy (ICP). METHODS: The study involved 57 affected and 115 healthy control pregnant women who were genotyped for two single nucleotide polymorphisms (SNPs) in the BSEP gene. Chi-square analysis was used to assess genotype and allele frequency differences between the cholestatic and control groups. In addition, single locus analysis was expanded to pair of loci haplotype analysis to examine the estimated haplotype frequencies of the two SNPs, of unknown phase, among the cholestatic and control groups. Estimated haplotype frequencies were assessed using the maximum-likelihood method, employing an expectation-maximization (EM) algorithm. RESULTS: The genotype and allele frequency distribution of the two intragenic SNPs in the ICP and control groups revealed significant evidence of association with the exon 28 SNP (P=0.04 and P=0.02, respectively). In addition, a borderline allele association was noted with the intron 19 SNP (P=0.08). Although the overall distribution of estimated haplotypes of intron 19 and exon 28 SNPs did not differ between the ICP and control groups, the most common haplotype, A-G, was significantly overrepresented in the ICP group (P=0.02), at an odds ratio of 1.73 (95% CI: 1.08-2.74). CONCLUSIONS: The use of two intragenic SNPs in both single locus and haplotype analyses of association suggests that the BSEP gene is a susceptibility gene in intrahepatic cholestasis of pregnancy.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

Associations between two single nucleotide polymorphisms in the adiponectin gene and polycystic ovary syndrome.

In the present study we determined whether genetic variability in the gene encoding adiponectin is associated with polycystic ovary syndrome (PCOS). Altogether 143 Caucasian women with PCOS and 245 healthy controls were genotyped for two single nucleotide polymorphisms (SNPs) in exon 2 and intron 2 in the adiponectin gene. Single-point analysis was expanded to pair-of-loci haplotype analysis to examine the estimated haplotype frequencies of the two SNPs, of unknown phase, in the PCOS and control groups. Estimated haplotype frequencies were assessed using the maximum-likelihood method, employing an expectation-maximization algorithm. A significantly different allele distribution in intron 2 SNP was observed between the groups, with the T allele being significantly reduced in the PCOS group (25.9%) compared with the control group (32.7%) ( p = 0.047), at an odds ratio of 0.72 (95% confidence interval 0.52-0.99). Otherwise, the allele and genotype distributions in either SNP were not statistically different between the groups. In haplotype estimation analysis, there was a lower frequency of the haplotype T-T in the PCOS group (25.9%) than in the control group (32.7%) ( p = 0.058). We conclude that polymorphisms of the adiponectin gene may be implicated in individual susceptibility to PCOS.

Adiponectin↗

Haplotype frequency estimation error analysis in the presence of missing genotype data.

BACKGROUND: Increasingly researchers are turning to the use of haplotype analysis as a tool in population studies, the investigation of linkage disequilibrium, and candidate gene analysis. When the phase of the data is unknown, computational methods, in particular those employing the Expectation-Maximisation (EM) algorithm, are frequently used for estimating the phase and frequency of the underlying haplotypes. These methods have proved very successful, predicting the phase-known frequencies from data for which the phase is unknown with a high degree of accuracy. Recently there has been much speculation as to the effect of unknown, or missing allelic data - a common phenomenon even with modern automated DNA analysis techniques - on the performance of EM-based methods. To this end an EM-based program, modified to accommodate missing data, has been developed, incorporating non-parametric bootstrapping for the calculation of accurate confidence intervals. RESULTS: Here we present the results of the analyses of various data sets in which randomly selected known alleles have been relabelled as missing. Remarkably, we find that the absence of up to 30% of the data in both biallelic and multiallelic data sets with moderate to strong levels of linkage disequilibrium can be tolerated. Additionally, the frequencies of haplotypes which predominate in the complete data analysis remain essentially the same after the addition of the random noise caused by missing data. CONCLUSIONS: These findings have important implications for the area of data gathering. It may be concluded that small levels of drop out in the data do not affect the overall accuracy of haplotype analysis perceptibly, and that, given recent findings on the effect of inaccurate data, ambiguous data points are best treated as unknown.

Alleles↗

Genetic anthropology of the colorectal cancer-susceptibility allele APC I1307K: evidence of genetic drift within the Ashkenazim.

The adenomatous polyposis coli (APC) I1307K allele is found in 6% of the Ashkenazi Jewish population and in 1%-2% of Sephardi Jews; it confers a relative risk of 1.5-2.0 for colorectal cancer (CRC) on all carriers. Within the Ashkenazim, the existence of numerous high-prevalence mutations, including I1307K, has sparked controversy over whether genetic drift or selection is the underlying cause. For the present population-based case-control study of CRC in Israel, we tested whether selection has operated at I1307K. We also estimated the age of the I1307K allele, to understand its origin in the context of the Jewish diasporas and subsequent founder events. We genotyped 83 matched pairs, in which one or both members of the pair carried I1307K, at three microsatellites and two SNPs. Haplotypes were statistically constructed using PHASE software. Single-marker age estimates for I1307K were calculated using the approach described by Risch et al. A common progenitor haplotype spanned across APC I1307K from the centromeric marker D5S135 to the telomeric marker D5S346 and was observed in individuals of Ashkenazi, Sephardi, and Arab descent. The ancestor of modern I1307K alleles existed 87.9-118 generations ago ( approximately 2,200-2,950 years ago). This age estimate indicates that I1307K existed at about the time of the beginning of the Jewish diaspora, explaining its presence in non-Ashkenazi populations. Our data do not indicate that selection operated at I1307K (D5S346, P=.114; D5S135, P=.373), providing compelling evidence that the high frequency of disease-susceptibility alleles in the Ashkenazim is due to genetic drift, not selection. This research underscores the importance of the migratory patterns of ancestral populations in the ethnic and geographic distribution of APC I1307K.

Adenomatous Polyposis Coli↗

Molecular haplotyping by linking emulsion PCR: analysis of paraoxonase 1 haplotypes and phenotypes.

Linking emulsion PCR (LE-PCR) enables formation of minichromosomes preserving phase information of two polymorphic loci, hence the haplotype. Emulsion PCR confines two amplicons of two linked polymorphic sites on a single template molecule to one aqueous-phase droplet. Linking PCR uses biotinylated, overlapping linking primers to connect these amplicons in the droplet. After LE-PCR, unlinked amplicons are removed on streptavidin-coated magnetic beads and single-stranded runoff products are capped by primer extension. Quantitative ASPCR can then be used to ascertain the haplotypes of the two polymorphic loci on the minichromosomes. Using LE-PCR, we determined the human paraoxonase-1 [PON1] molecular haplotypes at three loci (-909g>c, L55M, Q192R) in women who were compound heterozygotes for -909g>c/L55M (n = 89), -909g>c/Q192R (n = 77) and L55M/Q192R (n = 68). We observed a strong association between PON1 substrate specificity (paraoxon/phenylacetate substrate activity ratios) and -909g>c/Q192R haplotype. We have demonstrated here a powerful molecular haplotyping technology that can be applied in population studies.

Aryldialkylphosphatase↗

Vitamin D receptor gene polymorphisms and association with type 2 diabetes mellitus in a Polish population.

Vitamin D plays an important role in insulin secretion. There is also evidence that this steroid may influence the insulin sensitivity. Thus genes involved in its metabolic pathway have been regarded as good candidates for type 2 diabetes mellitus (T2DM). One of them is vitamin D receptor gene (VDR). Its multiple polymorphisms have been examined for the association with T2DM in several populations. Those studies did not provide clear answers about the role of VDR in this disease. The aim of the study was to search for the association of FokI, ApaI, BsmI, and TaqI polymorphisms of VDR gene with T2DM in a Polish population using a case-control study design. Overall, 548 individuals were examined: 308 T2DM patients and 240 control individuals. The study groups were genotyped for VDR FokI, ApaI, BsmI, and TaqI variants using the restriction fragment length polymorphism (RFLP) method. Since variants of ApaI, BsmI, and TaqI polymorphisms were in very strong linkage disequilibrium, three loci haplotypes could be assigned to phase-unknown individuals with a high degree of confidence. Differences in allele, genotype, haplotype, and haplotype combination distribution between the groups were examined by chi2 test. The VDR allele frequencies for T2DM patients and controls were as follows: FokI-F/f - 53.4 %/46.6 % vs. 55.2 %/44.8 %, BsmI-B/b - 34.4 %/65.6 % vs. 37.5 %/62.5 %, ApaI-A/a - 47.9 %/52.1 % vs 50.9 %/49.1 %, TaqI-T/t - 67.6 %/32.4 % vs. 62.7 %/37.3 %, respectively. There was no difference between the groups in allele frequency. Similarly, distribution of genotypes, three locus BsmI/ApaI/TaqI haplotypes and their combinations were similar in the groups. In conclusion, our study did not provide evidence for the association of four examined VDR polymorphisms with T2DM in a Polish population. We postulate that to fully determine whether the sequence differences in VDR gene are susceptibility variants for T2DM, additional studies in different populations are required in a large study group.

Adult↗