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Parathyroid hormone gene polymorphism and sporadic idiopathic hypoparathyroidism.

The pathogenetic mechanisms involved in the development of sporadic idiopathic hypoparathyroidism are currently under investigation. Although autoantibodies against the calcium-sensing receptor (CaSR) have been implicated to play a role, these could be demonstrated in only 49% of a group of 51 patients with sporadic idiopathic hypoparathyroidism that we previously studied. Therefore, we investigated 49 of these patients further, regardless of their antibody status, and looked for mutations in the section of the PTH gene sequence that coded for prepro-PTH as well as the 3'-untranslated region (3'-UTR) of the gene, which is believed to be involved in the stability of its mRNA. We also examined the relationship between the clinical manifestations of the disease and the occurrences of two commonly observed single nucleotide polymorphisms (SNPs) in the PTH gene. In 49 of the patients with idiopathic hypoparathyroidism and in 55 healthy controls, the SNPs were characterized by restriction analysis using DraII and BstBI enzymes. In a subset of these patients, exons 2 and 3 of the PTH gene (n = 37) and its 3'-UTR region (n = 40) were also sequenced. No mutations were observed in the segment of the PTH gene coding for the signal peptide, prohormone, or the 3'-UTR region. However, three well described SNPs were observed: 1) an A-->G substitution in intron 1 in 35.1% of the patients; 2) a G-->A substitution in intron 2, characterized by BstBI, in one or both alleles in 27%; and 3) a C-->A substitution at codon 52 (CGA) of exon 3, characterized by DraII, in one or both alleles in 59.7% of the patients. There was no significant difference in the frequency of occurrence of these SNPs between the patient and the control groups. Furthermore, the mean age at onset of symptoms, body mass index, frequency of cataract, tetany, convulsion, basal ganglia calcification, serum calcium, inorganic phosphorus, and intact PTH were not significantly different between patients with and without the above-described SNPs. Thus, the data from this report demonstrate that in patients with sporadic idiopathic hypoparathyroidism, neither the clinical manifestations nor the biochemical indexes of the disease are related to the occurrence of mutations or SNPs in the PTH gene. Because neither patient nor control samples exhibited any variations in the sequence of their 3'-UTR regions, it is unlikely that mRNA instability is a factor in the pathogenesis of the disease. Additional studies are required to investigate the role of other genes and autoantigens that may be involved in the genesis of idiopathic hypoparathyroidism.

Adolescent↗

Polymorphisms in exon 13 and intron 14 of the RET protooncogene: genetic modifiers of medullary thyroid carcinoma?

CONTEXT: Single-nucleotide polymorphisms (SNPs) of the RET protooncogene (RET) could modify disease susceptibility and clinical phenotype in patients with sporadic or familial medullary thyroid carcinoma (FMTC). OBJECTIVE/DESIGN OF THE STUDY: Because frequencies of RET SNPs have not yet been evaluated in patients with elevated serum concentrations of calcitonin (hCt), a biochemical marker for medullary thyroid carcinoma (MTC), we studied RET SNPs in patients with FMTC (n = 22), patients with sporadic MTC (n = 45), and 71 subjects presenting with moderately elevated hCt concentrations (basal, >10 pg/ml; pentagastrin stimulated, > 50 < 100 pg/ml) in comparison with an age- and gender-matched control group (n = 79) with basal hCt concentrations in the normal range (<5 pg/ml). METHODS: After DNA extraction from citrated whole blood, RET exons 10, 11, 13, 14, 15, and 16 and exon/intron boundaries were analyzed by PCR-based cycle sequencing for RET germ line mutations, exonic (G691S, L769L, S836S, S904S) and intronic (IVS13+158; NCBI rs2472737 = IVS14-24) SNPs. RESULTS: In FMTC patients, the F791Y mutation was found to be associated (P = 0.001) with the L769L SNP. The exonic SNPs (G691S, L769L, S836S, and S904S) were not different among the four groups. The intron 14 SNP (IVS14-24), however, was more frequent in individuals with elevated hCt serum concentrations (P = 0.016) and patients with sporadic MTC (P < 0.001) when compared with the control group. CONCLUSIONS: These data suggest that the exon 13 (L769L) and the intron 14 (IVS14-24) SNPs could act as genetic modifiers in the development of some forms of hereditary and sporadic MTC, respectively.

Adult↗

Functional single-nucleotide polymorphisms in the secretogranin III (SCG3) gene that form secretory granules with appetite-related neuropeptides are associated with obesity.

CONTEXT: Genetic factors are important for the development of obesity. However, the genetic background of obesity still remains unclear. OBJECTIVE: Our objective was to search for obesity-related genes using a large number of gene-based single-nucleotide polymorphisms (SNPs). DESIGN AND SETTING: We conducted case-control association analyses using 94 obese patients and 658 controls with 62,663 SNPs selected from the SNP database. SNPs that possessed P < or = 0.02 were further analyzed using 796 obese and 711 control subjects. One SNP (rs3764220) in the secretogranin III (SCG3) gene showed the lowest P value (P = 0.0000019). We sequenced an approximately 300-kb genomic region around rs3764220 and discovered SNPs for haplotype analyses. SCG3 was the only gene within a haplotype block that contained rs3764220. The functions of SCG3 were studied. PATIENTS: Obese subjects (body mass index > or = 30 kg/m(2), n = 890) and control subjects (general population; n = 658, body mass index < or = 25 kg/m(2); n = 711) were recruited for this study. RESULTS: Twelve SNPs in the SCG3 gene including rs3764220 were in almost complete linkage disequilibrium and significantly associated with an obesity phenotype. Two SNPs (rs16964465, rs16964476) affected the transcriptional activity of SCG3, and subjects with the minor allele seemed to be resistant to obesity (odds ratio, 9.23; 95% confidence interval, 2.77-30.80; chi(2) = 19.2; P = 0.0000067). SCG3 mRNA and immunoreactivity were detected in the paraventricular nucleus, lateral hypothalamic area, and arcuate nucleus, and the protein coexisted with orexin, melanin-concentrating hormone, neuropeptide Y, and proopiomelanocortin. SCG3 formed a granule-like structure together with these neuropeptides. CONCLUSIONS: Genetic variations in the SCG3 gene may influence the risk of obesity through possible regulation of hypothalamic neuropeptide secretion.

Adult↗

Association of PTPN22 haplotypes with Graves' disease.

CONTEXT: A recent study reported associations of a series of single nucleotide polymorphisms (SNPs) within PTPN22, including rs2476601, with rheumatoid arthritis. OBJECTIVE: Having previously reported significant association of the T allele of rs2476601 in a Graves' disease (GD) cohort, we sought to determine whether novel rheumatoid arthritis-associated SNPs were also contributing to susceptibility to GD. DESIGN: Case control and family-based studies of five PTPN22 tag SNPs were performed. SETTING: An United Kingdom academic department of medicine was the setting for the study. PATIENTS OR OTHER PARTICIPANTS: A total of 768 GD patients, 768 control subjects, and 313 families with autoimmune thyroid disease participated. MAIN OUTCOME MEASURE: Tests for association with disease were the main outcome measure. RESULTS: No association with disease of any of the individual SNPs and no correlation between genotype and clinical phenotype were seen. However, haplotype analysis of the SNP markers with addition of rs2476601 did reveal a strong association of a haplotype containing the T allele, in both the case control (chi2 = 29.13; P = 6.77 x 10(-8)) and family data sets (chi2 = 5.24; P = 0.02). Furthermore, a novel protective effect of a haplotype containing all six SNPs was observed (chi2 = 17.02; P = 3.7 x 10(-5)). CONCLUSIONS: These data suggest that the association of SNPs within the PTPN22 region differs between autoimmune diseases, occurring individually and/or as part of a haplotype, indicating that the mechanisms by which PTPN22 confers susceptibility to GD may, in part, be disease specific.

Arthritis, Rheumatoid↗

Single nucleotide polymorphisms in an STS region linked to the Ncc-tmp1A locus are informative for characterizing the differentiation of chromosome 1A in wheat.

Homoeoalleles of Ncc confer nucleus-cytoplasm (NC) compatibility on NC hybrids of wheat with the D plasmon of Aegilops squarrosa. To dissect the chromosomal region containing Ncc, a RAPD marker linked to the Ncc-tmplA locus, which is located on chromosome 1A of T timopheevi, was sequenced and converted to a PCR-based sequence-tagged-site (STS) marker. Five single nucleotide polymorphisms (SNPs) between T timopheevi and T turgidum. were detected in a 509-bp genomic DNA fragment. Based on the SNPs, the STS alleles in 164 accessions from emmer wheat, timopheevi wheat and two einkorn wheats, T. urartu and T. boeoticum were surveyed by PCR-RFLP analysis. The sequence comparisons and PCR-RFLP analyses revealed nine alleles based on six SNPs. These SNPs were highly conserved within each group of wheat, and all groups could be distinguished by particular combinations of the SNPs. All accessions of T. urartu had one unique STS allele as compared with the others. Our results indicate that the SNPs in the STS marker linked to the Ncc-tmplA locus would be informative for studies of the differentiation of chromosome 1A in wheat.

Alleles↗

Single-nucleotide polymorphism of the urokinase-plasminogen activator gene during aging and transformation of human diploid kidney cell cultures.

Single-nucleotide polymorphisms (SNPs) are differences in the nucleotide sequence of a specific gene from different individuals. The frequency at which SNPs occur varies among individuals, is gene dependent, and may be influenced by the aging process or by mechanisms that result in cell transformation. Urokinase-plasminogen activator (uPA) is a serine protease that is important in embryonic development, aging, and the onset of pathogenic conditions. The frequency of SNP and the stability of the SNPs in the uPA gene have not been defined with regard to processes that are associated with cellular aging or transformation. In this study, the complete nucleotide sequence has been determined for the gene encoding uPA from 26 human diploid kidney cell lines. The frequency of SNP occurrence within the uPA gene and whether this frequency changed during cellular aging, or after cell transformation, were determined. The results demonstrated three donor-dependent SNPs. One SNP was located at base pair 422, which is in the region of the gene responsible for encoding the high-molecular weight domain of uPA (HMW-uPA). The other SNPs were located at base pairs 691 and 822, both of which are in the region of the gene responsible for encoding the low-molecular weight domain of uPA (LMW-uPA). Single-nucleotide polymorphisms were not detected in the portion of the gene responsible for encoding the uPA secretion signal. Leucine or proline would be encoded at amino acid 141 of HMW-uPA as the result of an SNP at base pair 422. The SNP detected at base pair 691 would encode for lysine or glutamine at amino acid 231 of LMW-uPA. The SNP detected at base pair 822 would not change the encoded asparagine located at position 274 of the protein. The SNPs identified in this study were donor dependent and were not altered during cellular aging, or by changes in karyology due to spontaneous transformation of the cell line. These results demonstrate that the integrity of the uPA gene is stable and not subject to alterations that accompany cell aging or transformation.

Aging↗

Contribution of the LRP5 gene to normal variation in peak BMD in women.

UNLABELLED: The role of the LRP5 gene in rare BMD-related traits has recently been shown. We tested whether variation in this gene might play a role in normal variation in peak BMD. Association between SNPs in LRP5 and hip and spine BMD was measured in 1301 premenopausal women. Only a small proportion of the BMD variation was attributable to LRP5 in our sample. INTRODUCTION: Mutations in the low-density lipoprotein receptor-related protein 5 (LRP5) gene have been implicated as the cause of multiple distinct BMD-related rare Mendelian phenotypes. We sought to examine whether the LRP5 gene contributes to the observed variation in peak BMD in the normal population. MATERIALS AND METHODS: We genotyped 12 single nucleotide polymorphisms (SNPs) in LRP5 using allele-specific PCR and mass spectrometry methods. Linkage disequilibrium between the genotyped LRP5 SNPs was measured. We tested for association between these SNPs and both hip and spine BMD (adjusted for age and body weight) in 1301 healthy premenopausal women who took part in a sibling pair study aimed at identifying the genes underlying peak bone mass. Our study used both population-based (ANOVA) and family-based (quantitative transmission disequilibrium test) association methodology. RESULTS AND CONCLUSIONS: The linkage disequilibrium pattern and haplotype block structure within the LRP5 gene were consistent with that observed in other studies. Although significant evidence of association was found between LRP5 SNPs and both hip and spine BMD, only a small proportion of the total variation in these phenotypes was accounted for. The genotyped SNPs accounted for approximately 0.8% of the variation in femoral neck BMD and 1.1% of the variation in spine BMD. Results from our sample suggest that natural variation in and around LRP5 is not a major contributor to the observed variability in peak BMD at either the femoral neck or lumbar spine in white women.

Adult↗

SNPdetector: a software tool for sensitive and accurate SNP detection.

Identification of single nucleotide polymorphisms (SNPs) and mutations is important for the discovery of genetic predisposition to complex diseases. PCR resequencing is the method of choice for de novo SNP discovery. However, manual curation of putative SNPs has been a major bottleneck in the application of this method to high-throughput screening. Therefore it is critical to develop a more sensitive and accurate computational method for automated SNP detection. We developed a software tool, SNPdetector, for automated identification of SNPs and mutations in fluorescence-based resequencing reads. SNPdetector was designed to model the process of human visual inspection and has a very low false positive and false negative rate. We demonstrate the superior performance of SNPdetector in SNP and mutation analysis by comparing its results with those derived by human inspection, PolyPhred (a popular SNP detection tool), and independent genotype assays in three large-scale investigations. The first study identified and validated inter- and intra-subspecies variations in 4,650 traces of 25 inbred mouse strains that belong to either the Mus musculus species or the M. spretus species. Unexpected heterozygosity in CAST/Ei strain was observed in two out of 1,167 mouse SNPs. The second study identified 11,241 candidate SNPs in five ENCODE regions of the human genome covering 2.5 Mb of genomic sequence. Approximately 50% of the candidate SNPs were selected for experimental genotyping; the validation rate exceeded 95%. The third study detected ENU-induced mutations (at 0.04% allele frequency) in 64,896 traces of 1,236 zebra fish. Our analysis of three large and diverse test datasets demonstrated that SNPdetector is an effective tool for genome-scale research and for large-sample clinical studies. SNPdetector runs on Unix/Linux platform and is available publicly (http://lpg.nci.nih.gov).

Algorithms↗

Assessing Hardy-Weinberg equilibrium in T2T-aligned 1000 genomes project.

Quality control of markers in genome-wide association studies often includes testing for Hardy-Weinberg equilibrium (HWE). However, this is usually implemented in a homogeneous population without stratifying by sex. Previous work indicates sex-based selection at numerous autosomal loci in cohorts with active recruitment. Sex chromosome sequences can also interfere with autosomal SNPs. These motivate a re-examination of HWE in sex-aware analyses. Using the telomere-to-telomere (T2Tv2)-aligned high-coverage whole genome sequencing data from 2,490 individuals in the 1000 Genomes Project, we examined genome-wide sex-specific deviations from HWE across five super-populations. Our analyses were restricted to bi-allelic SNPs with non-missing genotypes and minor allele frequency (MAF) &#x2265;5% in both sexes of the five super-populations. We applied an allele-based framework to quantify both the magnitude and direction of Hardy-Weinberg disequilibrium (HWD), followed by a second-order omnibus meta-analysis that combined HWD results across populations and sexes. At a genome-wide significance threshold of p&#x2009;<&#x2009;5e-8, 0.9% of autosomal SNPs exhibited significant deviations from HWE. The majority of these deviations were associated with genomic features indicative of poor sequence quality. Restricting the analysis to reliable genomic regions substantially reduced the number of signals, yielding 255 autosomal SNPs and one non-pseudoautosomal chromosome X SNP. Among these, 140 autosomal SNPs displayed significant heterogeneity across populations but not across sexes. Notably, eight SNPs within a 15-bp region on chromosome 14q31.3 showed excess heterozygosity in both sexes of the African super-population (AFR). Finally, we developed a multivariate predictor of HWD based on sequence features, providing a practical tool that can be integrated into existing quality control pipelines for whole genome sequencing studies.

Journal Article↗

Single Nucleotide Polymorphisms in RUNX2 and BMP2 contributes to different vertical facial profile.

The vertical facial profile is a crucial factor for facial harmony with significant implications for both aesthetic satisfaction and orthodontic treatment planning. However, the role of single nucleotide polymorphisms (SNPs) in the development of vertical facial proportions is still poorly understood. This study aimed to investigate the potential impact of some SNPs in genes associated with craniofacial bone development on the establishment of different vertical facial profiles. Vertical facial profiles were assessed by two senior orthodontists through pre-treatment digital lateral cephalograms. The vertical facial profile type was determined by recommended measurement according to the American Board of Orthodontics. Healthy orthodontic patients were divided into the following groups: "Normodivergent" (control group), "Hyperdivergent" and "Hypodivergent". Patients with a history of orthodontic or facial surgical intervention were excluded. Genomic DNA extracted from saliva samples was used for the genotyping of 7 SNPs in RUNX2, BMP2, BMP4 and SMAD6 genes using real-time polymerase chain reactions (PCR). The genotype distribution between groups was evaluated by uni- and multivariate analysis adjusted by age (alpha = 5%). A total of 272 patients were included, 158 (58.1%) were "Normodivergent", 68 (25.0%) were "Hyperdivergent", and 46 (16.9%) were "Hypodivergent". The SNPs rs1200425 (RUNX2) and rs1005464 (BMP2) were associated with a hyperdivergent vertical profile in uni- and multivariate analysis (p-value < 0.05). Synergistic effect was observed when evaluating both SNPs rs1200425- rs1005464 simultaneously (Prevalence Ratio = 4.0; 95% Confidence Interval = 1.2-13.4; p-value = 0.022). In conclusion, this study supports a link between genetic factors and the establishment of vertical facial profiles. SNPs in RUNX2 and BMP2 genes were identified as potential contributors to hyperdivergent facial profiles.

Polymorphism, Single Nucleotide↗

Y chromosome SNP analysis using the single-base extension: a hierarchical multiplex design.

Single nucleotide polymorphisms (SNPs) are the most frequent polymorphisms described in the human genome, and their analysis is becoming an extensive routine in molecular biology, not only in the forensic field, but also in population and clinical genetics. In particular, SNPs located on the Y chromosome have a specific utility as forensic tools, and based on this fact, we have designed a strategy that allows us to identify the most frequent haplogroups in European populations. We selected 29 markers among the 245 binary polymorphisms described in the Y-Chromosome Consortium tree. The whole set was grouped into four multiplexes in a hierarchical way, allowing us to determine the final haplogroup using only one or two multiplexes. In this way, we only type in the best-case nine SNPs, and in the worst possible combination 17 SNPs, to define the haplogroup. The selected strategy to type the SNPs was a single-base extension method using the SNaPshot multiplex kit from Applied Biosystems, and detailed practical procedures are described here. With this hierarchical strategy adapted for European populations the massive typing of SNPs was avoided, and therefore the time and money involved in the study was also reduced.

Base Sequence↗

Beta(2)-adrenergic receptor polymorphisms and response to salbutamol among Indian asthmatics*.

INTRODUCTION: The beta(2)-adrenergic receptor (beta(2)AR or ADRbeta(2)) is the target for beta(2)-agonist drugs used for bronchodilation in asthma and other respiratory diseases. The aim of this study was to identify common single nucleotide polymorphisms (SNPs) and haplotypes in asthmatics and healthy individuals from an Indian population, and determine the influence of beta(2)AR SNPs in responsiveness to beta(2)-agonist therapy in asthma patients. METHODS: Ten variable SNP sites within a span of 2.193 kb were identified in the beta(2)AR gene by sequencing and genotyping 374 bronchial asthma patients and healthy individuals from an Indian population. Spirometry tests were performed on 80 unrelated patients before and after administration of 200 microg of salbutamol. A post-bronchodilator forced expiratory volume in one second (FEV(1)) change of >or= 15.3% was considered a good response, and a change of<15.3% was defined as a poor response, to salbutamol. RESULTS: The pattern of linkage disequilibrium between the ten SNPs showed a single, linked SNP block consisting of sites -468, -367, -47, -20, and 79 having strong linkage disequilibrium, while the SNPs at sites -1023, -654, 46, 252, and 523 showed very low linkage with one another and with the linked region. The SNPs were found to be organized into 16 haplotypes in the studied population. We found that patients with a homozygous Arg-16 form at nucleotide position 46 are poor responders with probability of 0.81, and patients with a homozygous Gly-16 form are good responders with a probability of 0.73. The responder status to salbutamol treatment and the genotype at nucleotide position 46 in beta(2)AR gene of an asthmatic patient are significantly associated in the studied Indian population (chi2=9.98, df=2, p=0.0068). Most importantly, this association for responsiveness to salbutamol at nucleotide position 46 is independent of other SNPs in the beta(2)AR gene. CONCLUSION: This study suggests that the SNP at nucleotide position 46 has particular relevance to pharmacogenetics in the Indian population studied.

5' Untranslated Regions↗

Association of polymorphisms and haplotypes in the human growth hormone 1 (GH1) gene with breast cancer.

The growth hormone 1 (GH1)/insulin-like growth factor I (IGF-I) axis plays an important role in the development of breast cancer. By binding to its receptor, GH1 stimulates the production of IGF-I and its binding protein IGFBP3, resulting in the regulation of cell proliferation, differentiation and apoptosis. The GH1 gene expression is regulated by a highly polymorphic proximal promoter and a distal locus control region (LCR) 14.5 kb upstream of the gene. We investigated the effect of single nucleotide polymorphisms (SNPs) in the LCR and in the promoter region and an intron 4 SNP (IVS4+90 T/A) on breast cancer risk in a large cohort of Polish and German familial breast cancer cases and controls. SNPs in the LCR did not show an influence on breast cancer risk, either alone or in haplotypes. Three SNPs in the promoter region (G-340T, A-68G/C and A-63T/C) showed an increased and four SNPs (A-137G, G-119T, G-93delG and T-4G) a decreased allele frequency in the cases compared with the controls. Two of the SNPs (A-137G and G-93delG) lead to a decreased breast cancer risk among the minor allele carriers in the joint analysis of the two populations (odds ratio (OR) 0.62, 95% confidence interval (95% CI) 0.44-0.89, P = 0.01 and OR 0.65, 95% CI 0.47-0.90, P = 0.01, respectively). Haplotype analysis with these seven promoter SNPs revealed a protective association (OR 0.61, 95% CI 0.37-1.00, P = 0.04) for the haplotype GAGdAAT, containing the G-93delG variant allele, which in the single analysis already showed a protective effect. The effect was marginally stronger in combination with the LCR GC haplotype (OR 0.49, 95% CI 0.23-1.01, P = 0.04).

Adult↗

Whole-genome genotyping of haplotype tag single nucleotide polymorphisms.

The International HapMap Consortium recently completed genotyping over 3.8 million single nucleotide polymorphisms (SNPs) in three major populations, and the results of studying patterns of linkage disequilibrium indicate that characterization of 300,000-500,000 tag SNPs is sufficient to provide good genomic coverage for linkage-disequilibrium-based association studies in many populations. These whole-genome association studies will be used to dissect the genetics of complex diseases and pharmacogenomic drug responses. As such, the development of a cost-effective genotyping platform that can assay hundred of thousands of SNPs across thousands of samples is essential. In this review, we describe the development of a whole-genome genotyping (WGG) assay that enables unconstrained SNP selection and effectively unlimited multiplexing from a single sample preparation. The development of WGG in concert with high-density BeadChips has enabled the creation of three different high-density SNP genotyping BeadChips: the Sentrix Human-1 Genotyping BeadChip containing over 109,000 exon-centric SNPs; the HumanHap300 BeadChip containing over 317,000 tag SNPs, and the HumanHap550 Beadchip containing over 550,000 tag SNPs.

Automation↗

Pattern-recognition techniques with haplotype analysis in pharmacogenomics.

Single nucleotide polymorphisms (SNPs) can be used in clinical association studies to determine the contribution of genes to drug efficacy. However, it would be extremely inefficient to test all the 10 million common SNPs for an association study. Here we review haplotype analysis and pattern-recognition techniques to systematically select candidate SNPs for candidate-gene association studies in pharmacogenomics. First, we survey linkage disequilibrium methods to identify tag SNPs and explore the use of haplotypes as genetic markers that are correlated and associated with drug efficacy. Secondly, we investigate pattern-recognition algorithms and statistical analyses to assess drug efficacy based on SNPs and other factors. Finally, we study pattern-recognition approaches to evaluate the epistasis among genes and SNPs. These techniques may provide tools for clinical association studies and help find genes/SNPs involved in responses to therapeutic drugs or adverse drug reactions.

Animals↗

Combination of multiple genetic risk factors is synergistically associated with carotid atherosclerosis in Japanese subjects with type 2 diabetes.

OBJECTIVE: Several genetic risk factors, such as single nucleotide polymorphisms (SNPs), in candidate genes have been reported to be responsible for intima-media thickness (IMT), which is one of the surrogate end points of cardiovascular events. However, the synergistic effects of SNPs have not been evaluated in detail. RESEARCH DESIGN AND METHODS: We measured the average IMT of the common and internal carotid artery in Japanese type 2 diabetic patients (n = 690) (>50 years old) using ultrasonography. We also determined their genotypes regarding 106 SNPs in candidate genes responsible for cardiovascular diseases. Among the 106 SNPs, we selected 40 common (frequency of minor allele >/=10%) SNPs. We compared the average IMT of subjects with and without any pairs of four genotypes selected from the 40 common SNPs. RESULTS: The combination of methylen-tetrahydrofolate reductase 677 TT genotype and lymphotoxin-alpha (LTA) 252 GG genotype and that of ACE DD genotype and LTA 252 GG genotype were evaluated as responsible for a statistically significant (P = 2.7 x 10(-9) and 3.5 x 10(-6), respectively) increase in average IMT (mean [+/-SD] 1.54 +/- 0.60 and 1.43 +/- 0.58 mm, respectively) compared with those of the subjects without these combinations (1.04 +/- 0.34 and 1.04 +/- 0.34 mm, respectively). No single genotype was shown to be responsible for the statistically significant difference in average IMT after Bonferroni's multiple comparison procedure. CONCLUSIONS: The present analysis demonstrates an approach to evaluate combinations of multiple genetic risk factors that are synergistically associated with carotid atherosclerosis.

Aged↗

Systematic search for single nucleotide polymorphisms in the resistin gene: the absence of evidence for the association of three identified single nucleotide polymorphisms with Japanese type 2 diabetes.

Resistin is a novel polypeptide specifically secreted from adipocytes, and its serum levels are increased in obese diabetic mice. Resistin antagonizes insulin and could account for insulin resistance. To determine whether there are single nucleotide polymorphisms (SNPs) in the resistin gene associated with type 2 diabetes, sequences for 24 Japanese type 2 diabetic patients were initially analyzed using PCR direct sequencing. Three SNPs were found in the introns, but none were present in the coding regions. The allele frequencies of genomic -167C>T, +157C>T, and +299G>A in 99 Japanese control subjects were determined to be 3.5, 6.6, and 39.4%, respectively. In each pair of these SNPs, linkage disequilibria were found between either -167C>T and +299G>A or +157C>T and +299G>A. A linkage disequilibrium was also detected among -167C>T, +157C>T, and +299G>A, and only four of the eight possible haplotypes defined by these SNPs were found. A comparison of the frequencies of these SNPs and haplotypes between 99 type 2 diabetes and 99 control subjects revealed no evidence for any association. These identified SNPs, which were in linkage disequilibrium, represent potentially useful tools for searching for their association with specific phenotypes of diabetes.

Adult↗

Systematic search for single nucleotide polymorphisms in the FOXC2 gene: the absence of evidence for the association of three frequent single nucleotide polymorphisms and four common haplotypes with Japanese type 2 diabetes.

FOXC2, a forkhead/winged helix transcription factor, represents a promising candidate gene for type 2 diabetes since transgenic mice that specifically overexpress this gene in adipocytes are lean and insulin sensitive. To determine whether there are single nucleotide polymorphisms (SNPs) in this gene that are associated with type 2 diabetes, sequences of the coding and approximately 1 kb of 5' flanking regions in 24 Japanese type 2 diabetic subjects were initially analyzed using PCR direct sequencing, and the regions containing the identified polymorphisms were then examined. In 200 control subjects, three frequent SNPs were found (g. -512C>T [32.3%] and -350G>T [13.0%] in the 5' flanking region and +1548C>T [10.0%] in the 3' flanking region). Linkage disequilibria were found between all three pairs of these SNPs. Of the eight possible haplotypes defined by these SNPs, only four were found. When the frequencies of these SNPs and the four common haplotypes between 195 type 2 diabetic and 200 control subjects were compared, no association was evident. The +898C>T (Pro300Ser), +907C>A (Leu303Met), 1167_1169delCCA (389delHis), and +1251C>A (Ala417Ala) identified in the coding region were rare, although +907C>A could be higher in type 2 diabetic subjects (1.5%) than in control subjects (0.3%). Thus, the SNPs identified in the FOXC2 gene are unlikely to have major effects on susceptibility to Japanese type 2 diabetes.

Age of Onset↗