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[The research development of single nucleotide polymorphism].

Single nucleotide polymorphism(SNP) is a novel set of polymorphism based on the single nucleotide variations at the genomic level, which distributes widely across the human genome and has high polymorphism information content (PIC). Now, tens of thousands SNPs have been discovered among the human genome and are introduced by many biological medicine networks. With the development of identification and analysis technique for SNP, especially the combination with DNA chips, they, as the third generation of genetic markers, are gradually fitable for fine-scale mapping of diseases, especially the complex diseases susceptibility genes and will eventually substitute for the most commonly used microsatellite markers presently.

Genetic Markers↗

Association of protein tyrosine phosphatase 1B gene polymorphisms with measures of glucose homeostasis in Hispanic Americans: the insulin resistance atherosclerosis study (IRAS) family study.

Protein tyrosine phosphatase (PTP)-1B, encoded by the PTPN1 gene, catalyzes the dephosphorylation of proteins at tyrosyl residues. PTP-1B has been implicated in negatively regulating insulin signaling by dephosphorylating the phosphotyrosine residues of the insulin receptor. The genetic contribution of PTPN1 to measures of glucose homeostasis has been assessed in 811 Hispanic subjects from the Insulin Resistance Atherosclerosis Study Family Study (IRASFS). Thirty-five single nucleotide polymorphisms (SNPs) spanning 161 kb and containing the PTPN1 gene were genotyped and tested for association. All 20 SNPs with minor allele frequencies >0.1 in a single haplotype block covering the PTPN1 genomic sequence show significant association with the insulin sensitivity index (S(i)) (P = 0.044-0.003) and fasting glucose (P = 0.029 to <0.001). In contrast, there is no evidence for association of PTPN1 polymorphisms with acute insulin response (a measure of beta-cell function). Haplotype analysis of eight SNP haplotypes that have independently been shown to be associated with type 2 diabetes risk and protection in Caucasian type 2 diabetic subjects are associated with lower (P = 0.007) and higher (P = 0.0002) S(i) and higher (P = 0.00007) and lower (P = 0.001) fasting glucose, respectively, in the IRASFS. This comprehensive genetic analysis of PTPN1 reveals significant association with metabolic traits consistent with the proposed in vivo role for the PTP-1B protein.

Blood Glucose↗

MLR-tagging: informative SNP selection for unphased genotypes based on multiple linear regression.

UNLABELLED: The search for the association between complex diseases and single nucleotide polymorphisms (SNPs) or haplotypes has recently received great attention. For these studies, it is essential to use a small subset of informative SNPs accurately representing the rest of the SNPs. Informative SNP selection can achieve (1) considerable budget savings by genotyping only a limited number of SNPs and computationally inferring all other SNPs or (2) necessary reduction of the huge SNP sets (obtained, e.g. from Affymetrix) for further fine haplotype analysis. A novel informative SNP selection method for unphased genotype data based on multiple linear regression (MLR) is implemented in the software package MLR-tagging. This software can be used for informative SNP (tag) selection and genotype prediction. The stepwise tag selection algorithm (STSA) selects positions of the given number of informative SNPs based on a genotype sample population. The MLR SNP prediction algorithm predicts a complete genotype based on the values of its informative SNPs, their positions among all SNPs, and a sample of complete genotypes. An extensive experimental study on various datasets including 10 regions from HapMap shows that the MLR prediction combined with stepwise tag selection uses fewer tags than the state-of-the-art method of Halperin et al. (2005). AVAILABILITY: MLR-Tagging software package is publicly available at http://alla.cs.gsu.edu/~software/tagging/tagging.html

Algorithms↗

AccuTyping: new algorithms for automated analysis of data from high-throughput genotyping with oligonucleotide microarrays.

Microarray-based analysis of single nucleotide polymorphisms (SNPs) has many applications in large-scale genetic studies. To minimize the influence of experimental variation, microarray data usually need to be processed in different aspects including background subtraction, normalization and low-signal filtering before genotype determination. Although many algorithms are sophisticated for these purposes, biases are still present. In the present paper, new algorithms for SNP microarray data analysis and the software, AccuTyping, developed based on these algorithms are described. The algorithms take advantage of a large number of SNPs included in each assay, and the fact that the top and bottom 20% of SNPs can be safely treated as homozygous after sorting based on their ratios between the signal intensities. These SNPs are then used as controls for color channel normalization and background subtraction. Genotype calls are made based on the logarithms of signal intensity ratios using two cutoff values, which were determined after training the program with a dataset of approximately 160,000 genotypes and validated by non-microarray methods. AccuTyping was used to determine >300,000 genotypes of DNA and sperm samples. The accuracy was shown to be >99%. AccuTyping can be downloaded from http://www2.umdnj.edu/lilabweb/publications/AccuTyping.html.

Algorithms↗

Cyclic GMP increases the rate of the calcium extrusion pump in intact human platelets but has no direct effect on the dense tubular calcium accumulation system.

Sodium nitroprusside (SNP) and other agents that elevate cGMP levels are known to inhibit the aggregation of human platelets. Published data suggest that cGMP attenuation of agonist-induced Ca2+ transients is involved in this effect. The present study shows that elevation of cGMP increases the rate of the Ca2+ extrusion pump located in the plasma membrane (PM) but does not have a direct effect on the Ca2+ accumulating pump of the dense tubules (DT). The study verifies that SNP can specifically elevate the cGMP level in the platelet. The kinetics of the Ca2+ extrusion system were studied in situ in platelets overloaded with the cytoplasmic Ca2+ indicator quin2 according to a published protocol developed in this laboratory. Elevation of cGMP by means of (10 microM) SNP increased the Vm of the Ca(2+)-ATPase pump by 63%, without affecting its Km (66-80 nM) or Hill coefficient (1.6-1.8). Dibutyryl-cGMP (Bt2-cGMP), preincubated for 45 min at 1 mM, increased the Vm by a factor of 2.2 +/- 0.4. The experiments did not give any indication that SNP or Bt2-cGMP change the rate of the Na+/Ca2+ exchanger which makes a minor contribution to Ca2+ extrusion in the studied [Ca2+]cyt range. The rate constant for passive leakage of Ca2+ across the PM was increased by 32 +/- 4% by SNP and 90 +/- 34% by Bt2-cGMP. The net result is that the free Ca2+ in the cytoplasm ([Ca2+]cyt) at 'rest' is lowered from control values of 112 nM to 89 nM or 80 nM, respectively. The kinetics of Ca2+ uptake by the dense tubules were determined in situ using the fluorescence of chlorotetracycline (CTC) according to protocols developed in this laboratory. Analysis showed that SNP and Bt2-cGMP had no effect on the Vm or Km of the dense tubular pump, and did not affect the rate constant for passive leakage. The agents did decrease resting [Ca2+]dt by 25% or 30%, respectively, but this result can be explained purely in terms of the reduced [Ca2+]cyt. The effects of cGMP (vs. cAMP) on the PM and DT pumps are closely correlated with reported effects of cGMP/cAMP induced phosphorylation of a protein of the molecular weight of the PM pump and a 22 kDa activator of the DT pump. Cyclic AMP increases the rate of both the PM and the DT pumps, whereas cGMP increases the rate of the PM pump only.(ABSTRACT TRUNCATED AT 400 WORDS)

Biological Transport↗

Association of the FBXO11 gene with chronic otitis media with effusion and recurrent otitis media: the Minnesota COME/ROM Family Study.

OBJECTIVE: The FBXO11 gene is the human homologue of the gene mutated in the novel deaf mouse mutant jeff (Jf), a single gene model of otitis media. We have evaluated single nucleotide polymorphisms (SNPs) in the FBXO11 gene for association with chronic otitis media with effusion/recurrent otitis media (COME/ROM). DESIGN: A total of 13 SNPs were genotyped across the 98.7 kilobases of genomic DNA encompassing FBXO11. Data were analyzed for single SNP association using generalized estimating equations, and haplotypes were evaluated using Pedigree Disequilibrium Test methods. PATIENTS: The Minnesota COME/ROM Family Study, a group of 142 families (619 subjects) with multiple affected individuals with COME/ROM. MAIN OUTCOME MEASURES: Genetic association of COME/ROM with polymorphisms in FBXO11. RESULTS: The FBXO11 SNPs are contained in a single linkage disequilibrium haplotype block. Ten of the 13 SNPs were sufficiently polymorphic in the sample to permit analysis. In univariate genetic analysis, 1 reference SNP (hereinafter rs) (rs2134056) showed nominal evidence of association to COME/ROM (P = .02), and 2 SNPs approached significance (rs2020911, P = .06; rs3136367, P = .09). In multivariable analyses, including known risk factors for COME/ROM (sex, exposure to smoking, attending day care centers, no prior breastfeeding, and having allergies), the evidence of independent association was reduced for each SNP (eg, rs2134056, from P = .02 to P = .08). In subsequent analyses using the Pedigree Disequilibrium Test, the association of FBXO11 SNP rs2134056 (P = .06) with COME/ROM was confirmed. Incorporating multiple SNPs in 2- and 3-locus SNP haplotypes, those haplotypes containing rs2134056 also exhibited evidence of association of FBXO11 and COME/ROM (P values ranging from .03 to .10). CONCLUSION: We have observed evidence consistent with an association between polymorphisms in FBXO11, the human homologue of the Jeff mouse model gene, and COME/ROM.

Animals↗

Corroboration of a familial chordoma locus on chromosome 7q and evidence of genetic heterogeneity using single nucleotide polymorphisms (SNPs).

Chordoma, a rare bone tumor originating from notochordal remnants, has a genetic predisposition in some families. Previously, we performed linkage analysis using microsatellite (STR) markers on 3 unrelated chordoma kindreds (16 patients with chordoma) and reported significant evidence for linkage to chromosome 7q33 (Z(max) = 4.78) with a minimal disease gene region of 11 cM. In our present study, we performed linkage analysis in these 3 families using chromosome 7 single nucleotide polymorphisms (SNPs). Parametric and nonparametric multipoint analyses showed significant linkage to 7q markers with p < 0.001 and Z(max) = 2.77, respectively. The minimal disease gene region was not reduced by combined SNP and STR haplotype analysis compared to the previous STR haplotype analysis alone. We genotyped members of a fourth chordoma family with SNP and STR markers for chromosome 7q and for 1p36, the location of a previously reported chordoma locus. Affected members of this family did not share a common haplotype on 7q, and the family did not show evidence of linkage to 1p36. Thus, we corroborated a chordoma locus on chromosome 7q in the 3 original families and demonstrated evidence for genetic heterogeneity in the fourth family. Our study also provided insights into some limitations and analytical complexities associated with using a dense SNP marker set in linkage analysis of complex pedigrees.

Adult↗

Interleukin 1 and nuclear factor-kappaB polymorphisms in ankylosing spondylitis in Canada and Korea.

OBJECTIVE: The interleukin 1alpha and 1beta (IL-1alpha, IL-1beta) are potent mediators of inflammation and immunity. IL-1 receptor antagonist (IL-1Ra) is a protein that binds to IL-1 receptors and competitively inhibits the binding of IL-1alpha and IL-1beta. There are reports of IL-1 complex gene polymorphisms in ankylosing spondylitis (AS), but the results have been inconsistent. NFKB1 encodes the genes for the p50 and p101 nuclear factor-kappaB (NF-kappaB) isoforms, which are recognized as critical to inflammatory disease. To date there have been no reports examining an association between NFKB1 and AS. We investigated polymorphisms of IL-1 complex and NF-kappaB1 with 2 genetically and geographically different populations. METHODS: Subjects with AS satisfied modified New York criteria for AS. Healthy controls were recruited at each respective site. Subjects with AS were genotyped for the following: IL-1alpha-889 single nucleotide polymorphism (SNP); IL-1beta +3953 SNP; IL-1Ra (86 base pair variable number tandem repeat within intron 2); and NFKB1 (-94 insertion/deletion polymorphism). RESULTS: In total, 205 subjects with AS and 200 controls from Seoul, Korea, and 68 subjects with AS and 164 controls from Toronto, Canada, were genotyped for the IL-1alpha and IL-1beta polymorphisms and 115 controls for the IL-1Ra and NF-kappaB polymorphisms. There were no differences of IL-1alpha, IL-1beta, IL-1Ra, and NF-kappaB polymorphisms between AS patients and controls in these populations. CONCLUSION: Our analysis of these SNP in the IL-1 complex and NF-kappaB genes does not support a major role for either in AS susceptibility in the Seoul and Toronto populations.

Adult↗

Commonly studied single-nucleotide polymorphisms and breast cancer: results from the Breast Cancer Association Consortium.

BACKGROUND: The Breast Cancer Association Consortium (BCAC) is an international collaboration that was established to provide large sample sizes for examining genetic associations. We conducted combined analyses on all single-nucleotide polymorphisms (SNPs) whose associations with breast cancer have been investigated by at least three participating groups. METHODS: Data from up to 12 studies were pooled for each SNP (ADH1C I350V, AURKA F31I, BRCA2 N372H, CASP8 D302H, ERCC2 D312N, IGFBP3 -202 c>a, LIG4 D501D, PGR V660L, SOD2 V16A, TGFB1 L10P, TP53 R72P, XRCC1 R399Q, XRCC2 R188H, XRCC3 T241M, XRCC3 5' UTR, and XRCC3 IVS7-14). Genotype frequencies in case and control subjects were compared, and genotype-specific odds ratios for the risk of breast cancer in heterozygotes and homozygotes for the rare allele compared with homozygotes for the common allele were estimated with logistic regression. Statistical tests were two-sided. RESULTS: The total number of subjects for analysis of each SNP ranged from 12,013 to 31,595. For five SNPs--CASP8 D302H, IGFBP3 -202 c>a, PGR V660L, SOD2 V16A, and TGFB1 L10P--the associations with breast cancer were of borderline statistical significance (P = .016, .060, .047, .056, and .0088 respectively). The remaining 11 SNPs were not associated with breast cancer risk; genotype-specific odds ratios were close to unity. There was some evidence for between-study heterogeneity (P<.05) for four of the 11 SNPs (ADH1C I350V, ERCC2 D312N, XRCC1 R399Q, and XRCC3 IVS5-14). CONCLUSION: Pooling data within a large consortium has helped to clarify associations of SNPs with breast cancer. In the future, consortia such as the BCAC will be important in the analysis of rare polymorphisms and gene x gene or gene x environment interactions, for which individual studies have low power to identify associations, and in the validation of associations identified from genome-wide association studies.

Adult↗

Characterization of the human prostaglandin H synthase 1 gene (PTGS1): exclusion by genetic linkage analysis as a second modifier gene in familial thrombosis.

Genetic evidence from a large Vermont kindred indicates that an unknown gene promotes thrombosis when inherited in conjunction with type I protein C deficiency. Cyclooxygenase-1 [prostaglandin H synthase 1 gene (PTGS1)] was tested as a plausible candidate for the unknown gene because of its role in primary hemostasis. The complete sequence of PTGS1 (25 638 nucleotides) was determined from a 37 kb human genomic cosmid clone to characterize intronic regions and subsequently to allow the search for mutations by direct sequencing of genomic DNA. Northern blot analysis confirms usage of a newly described distal poly-adenylation signal. Short tandem repeat (STR) sequences found in intron 2 and the 3' flanking region were developed as new genetic markers for PTGS1. The position of PTGS1 was refined on the CHLC chromosome 9 linkage map using the new markers scored in four Centre d'Etude du Polymorphisme Humain families and multipoint linkage analysis. Direct sequencing of DNA from members of the Vermont kindred led to the discovery of two new single nucleotide polymorphisms (SNPs) that give rise to non-conservative amino acid changes in the signal peptide (Arg(8) to Trp and Pro(17) to Leu) of cyclooxygenase-1. Linkage analysis of the SNP and STR markers indicated that PTGS1 is not the interacting gene associated with an increased incidence of thrombosis in the Vermont kindred.

Base Sequence↗

Detection of single nucleotide polymorphisms using electrospray ionization mass spectrometry: validation of a one-well assay and quantitative pooling studies.

Single nucleotide polymorphisms (SNPs) are currently being mapped and databased at a remarkable pace, providing a viable means for understanding disease susceptibility, differential drug response and human evolution. Consequently, there is an increasing demand for SNP genotyping technologies that are simple, rapid, cost effective and readily amenable to automation for high-throughput analyses. In this study, we improved the Survivor Assay, a SNP detection method based on electrospray ionization mass spectrometry (ESI-MS), with several developments. One improvement is the development of a one-well assay, requiring no off-line purification of the polymerase chain reaction product, achieved by simple addition of reagent solution into a single well. Another is the on-line separation of magnesium and dideoxynucleotides using an in-house made monolithic metal chelating column, eliminating any off-line sample preparation prior to mass spectrometric analysis. Here the Survivor Assay is extended from a proof-of-principle concept to a validated method by genotyping six SNPs from five different regions of human genomic DNA in 55 individual samples with 100% accuracy. This improved Survivor Assay eliminates the tedious and time-consuming steps of sample preparation, minimizes sample handing and offers a high-throughput analysis of SNPs by ESI-MS. The current combined preparation and analysis time is 2 min per sample. The simplicity of this method has potential for full automation and parallel chromatography and, thus, reduced analysis time. In addition, we have adapted the Survivor Assay for quantitative SNP analysis in pooled DNA samples. The capabilities and sensitivity of this approach were evaluated. We demonstrate that an allele occurring at a frequency of 2% can consistently be quantitated.

Alleles↗

Association of a single nucleotide polymorphism in the calpastatin gene with carcass and meat quality traits of beef cattle.

Calpastatin (CAST) is a naturally occurring protein that inhibits the normal tenderization of meat as it ages postmortem. A SNP was identified in the CAST gene (a G to C substitution) and genotyped on crossbred commercially fed heifers (n = 163), steers (n = 226), and bulls (n = 61) from beef feedlots, and steers (n = 178) from a University of Guelph feeding trial. The association of the CAST SNP with carcass and meat quality traits was studied. Carcass traits included fat, lean, and bone yield; grade fat; LM area; and HCW. Meat quality traits included marbling grade; i.m. fat content of LM; tenderness evaluation of LM (Warner-Bratzler shear force) at 2, 7, 14, and 21 d of postmortem aging; and tenderness evaluation of semitendinosus muscle at 7 d of postmortem aging. The mixed model used in the analyses included fixed effects of CAST genotype, sex, slaughter group, and breed composition (linear covariate); sire was a random effect. For the analysis of shear force, i.m. fat content of LM was also included in the model as a linear covariate. Shear force measures were analyzed within days of postmortem aging and by repeated measures analysis. The CAST SNP allele C was more frequent (63%) in the crossbred population than allele G. The CAST SNP was associated with shear force across days of postmortem aging (P = 0.005); genotype CC yielded beef that was more tender than GG (-0.32 kg +/- 0.13), and CG had intermediate tenderness. The corresponding average allele substitution effect (G to C substitution) was also highly significant (-0.15 +/- 0.05 kg, P = 0.002). A lower percentage of unacceptably tough steaks (shear force > 5.7 kg) at 2 and 7 d postmortem was associated with an increasing number of C alleles (P < or = 0.05). At 7 d postmortem, the percentage of unacceptably tough steaks decreased by 24 and 35%, respectively, for animals carrying 1 and 2 copies of the C allele relative to animals with no C alleles. However, genotype CC had a greater fat yield (+1.44 +/- 0.56%; P = 0.037) than genotype GG, with a corresponding allele substitution effect of 0.67 +/- 0.27% (P = 0.015). Therefore, the CAST SNP allele C was associated with increased LM tenderness across days of postmortem aging and, importantly for the beef industry, had a significant reduction in the percentage of steaks rated unacceptably tough by consumers based on an assumed threshold level.

Animals↗

An extended genome scan in 442 Canadian multiple sclerosis-affected sibships: a report from the Canadian Collaborative Study Group.

Multiple sclerosis (MS) is a complex trait with a sibling relative risk (lambda(sibs)) between 18 and 36. We report a multistage genome scan of 552 sibling pairs from 442 families, the largest MS family sample assessed for linkage. The first stage consisted of a genome scan for linkage with 498 microsatellite markers at an average spacing of 7 cM in 219 sibling pairs. The second stage involved further genotyping of markers from positive regions in an independent sample of 333 affected sibling pairs. The global distribution of allele sharing for all markers showed a shift towards greater sharing within the affected sibling pair group but not in the discordant sibling pair group. This shift indicates that the number of contributing genetic factors is likely to be moderate to large. Only markers at chromosome 6p showed significant evidence for linkage (MLOD=4.40), while other regions were only suggestive (1p, 2q, 5p, 9q, 11p, 12q, 18p, 18q and 21q) with MLODs greater than 1.0. The replication analysis involving all 552 affected sibling pairs confirmed suggestive evidence for five locations, namely, 2q27 (MLOD=2.27), 5p15 (MLOD=2.09), 18p11 (MLOD=1.68), 9q21 (MLOD=1.58) and 1p31 (MLOD=1.33). Suggestive linkage evidence for a previously reported location on chromosome 17q (MLOD=1.67) and a prior association with marker D17S789 was replicated. We showed that the overall excess allele sharing we observed for the entire sample was due to increased allele sharing within the DRB1*15 negative subgroup alone. This observation is most consistent with a model of genetic heterogeneity between HLA and other genetic loci. These findings offer guidance for future genetic studies including dense SNP linkage disequilibrium analysis.

Canada↗

Utility of High-Throughput Genomic Analysis for Genetic Counseling in Large Family with Wilson Disease Carrying a Novel 28-bp ATP7B Splice-Junction Deletion.

Background/Objectives: Wilson disease (WD) is an autosomal recessive disorder of copper metabolism caused by pathogenic variants in the ATP7B gene. Early diagnosis and appropriate treatment are essential for preventing irreversible complications. This study demonstrated the clinical utility of integrated high-throughput genomic analysis for molecular diagnosis and genetic counseling in a large Thai family affected by WD. Methods: A 32-year-old woman with clinical features suggestive of WD underwent clinical, biochemical, and molecular genetic evaluations, including sequencing of the entire ATP7B gene and SNP microarray. Fluorescent PCR followed by capillary electrophoresis was used for segregation analysis in available family members. SNP microarray analysis and whole-exome sequencing were performed on the proband's husband to identify pathogenic variants in the ATP7B gene and other disease-associated genes for reproductive risk assessment. Results: The proband presented with hepatic dysfunction, Kayser-Fleischer rings, low serum ceruloplasmin, and a family history of fatal liver disease. She also developed progressive weakness, with nerve conduction findings consistent with axonal sensorimotor polyneuropathy predominantly affecting the lower limbs. Sequencing identified a novel homozygous 28-bp splice-junction deletion, c.4022-24_4025del, which disrupted the canonical splice acceptor site at the intron 19/exon 20 boundary and was classified as pathogenic variant. Segregation analysis confirmed carrier status in the proband's father and identified heterozygous carrier or homozygous wild-type status among her living siblings. SNP microarray analysis revealed a 46.7 Mb copy-neutral long contiguous stretch of homozygosity (CN-LCSH) encompassing ATP7B, with CN-LCSH regions accounting for 2.046% of the total autosomal genome. These findings potentially reflected segmental uniparental isodisomy or identity by descent, while the overall homozygosity pattern did not support recent consanguinity. Combined genomic analyses of the proband's husband revealed no pathogenic or likely pathogenic ATP7B variants. Based on the available testing, all offspring are expected to be heterozygous carriers, and the risk of an affected child is considered very low. Conclusions: This study highlights the value of integrated genomic analysis for molecular diagnosis, cascade testing, and reproductive risk counseling. Further functional studies should be conducted to validate their pathogenicity.

ATP7B↗

Allelic imbalance analysis by high-density single-nucleotide polymorphic allele (SNP) array with whole genome amplified DNA.

Besides their use in mRNA expression profiling, oligonucleotide microarrays have also been applied to single-nucleotide polymorphism (SNP) and loss of heterozygosity (LOH) or allelic imbalance studies. In this report, we evaluate the reliability of using whole genome amplified DNA for analysis with an oligonucleotide microarray containing 11 560 SNPs to detect allelic imbalance and chromosomal copy number abnormalities. Whole genome SNP analyses were performed with DNA extracted from osteosarcoma tissues and patient-matched blood. SNP calls were then generated by Affymetrix GeneChip DNA Analysis Software. In two osteosarcoma cases, using unamplified DNA, we identified 793 and 1070 SNP loci with allelic imbalance, respectively. In a parallel experiment with amplified DNA, 78% and 83% of these SNP loci with allelic imbalance was detected. The average false-positive rate is 13.8%. Furthermore, using the Affymetrix GeneChip Chromosome Copy Number Tool to analyze the SNP array data, we were able to detect identical chromosomal regions with gain or loss in both amplified and unamplified DNA at cytoband resolution.

Chromosomes, Human, Pair 6↗

Involvement of mitochondrial peroxynitrite in nitric oxide-induced glutathione synthesis.

Cells respond to oxidative stress including nitric oxide (NO) by increasing cellular glutathione concentration, as a part of adaptive response against oxidative injury. To elucidate the mechanism by which NO induces glutathione we investigated the reactive oxygen species (ROS) generated in the cell. Treatment of RAW264.7 cells with NO donor, sodium nitroprusside (SNP), resulted in a temporary increase in glutathione in a dose-dependent manner, which peaked between 6 h and 12 h after treatment, whereas expression of gamma-glutamylcysteine synthetase (gamma-GCS) mRNA peaked around 3 h after treatment. The increase was inhibited by NO scavengers, oxyhemoglobin and carboxyl-2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide (PTIO). N-Acetyl-L-cysteine (NAC) also reduced the increase in glutathione to some extent, whereas both peroxynitrite scavenger ebselen and hydroxyl radical scavenger DMSO inhibited the increase in glutathione in a dose-dependent manner and complete inhibition was observed. Hydrogen peroxide exogenously added to the cell did not increase either glutathione or gamma-GCS expression at any concentration, indicating that involvement of hydrogen peroxide is not likely. Flow cytometric analysis showed that SNP induced a marked dose-dependent increase in Rhodamine123 fluorescence, which was completely inhibited by ebselen in a dose-dependent manner, whereas, little increase in 2',7'-dichlorofluorescin (DCF) fluorescence was observed. Generation of peroxynitrite in mitochondria by SNP was confirmed by elevated level of nitrotyrosine in a mitochondria fraction isolated from SNP-treated cells, and the elevation was completely inhibited by ebselen as well. These results suggest that induction of glutathione (GSH) synthesis by SNP treatment is mediated by peroxynitrite generated in mitochondria.

Animals↗

Genetic variation in the multifunctional transcription factor Yy1 and type 1 diabetes mellitus in the BB rat.

Spontaneous diabetes in B(io)B(reeding) rats is complex, polygenic, and recessively inherited. Several crossing studies have demonstrated that beside the class II genes of the major histocompatibility complex (MHC, Iddm1) additional non-MHC genes are involved in diabetes development. One of them, Iddm4, was initially mapped on chromosome 6q32. To study the physiologic importance of Iddm4 a congenic BB.SHR rat strain (BB.6S) was established. The BB.6S is characterised by a drastic reduction of diabetes frequency (86 vs. 14%) indicating existence of diabetes protective genes of SHR on the exchanged chromosomal segment. One of the possible diabetes susceptibility candidate genes located within this exchanged region is the multifunctional transcription factor Yin yang 1 (Yy1). Yy1 was therefore sequenced in BB/OK and SHR rats. No genetic variation in exons between BB/OK and SHR was found. However, three single nucleotide polymorphisms (SNPs) were detected in intron 4. To determine the "wild type" allele, intron 4 of several diabetes-resistant inbred rat strains (DA, LEW, BN, and WOKW) and wild rats was sequenced. In addition, a congenic BB/OK strain was established by introgressing the same segment of chromosome 6 (D6Rat184-D6Rat3) of wild rats onto BB/OK background (BB.6W). The sequence analysis showed the SNP pattern of SHR (A/C/C) in all inbred rat strains studied whereas both unrelated wild rats showed the pattern of BB/OK rats (T/G/A). The congenic BB.6W rats developed diabetes in the same extent than BB/OK rats. This finding may support the assumption that the SNP pattern of BB/OK and wild rats favours and that of SHR suppresses diabetes development. Because of strong synteny between rat chromosome 6q32 and human 14q32, Yy1 may be also of interest in human type 1 diabetics showing significant linkage to markers on chromosome 14q32.

Animals↗

Current limitations of SNP data from the public domain for studies of complex disorders: a test for ten candidate genes for obesity and osteoporosis.

BACKGROUND: Public SNP databases are frequently used to choose SNPs for candidate genes in the association and linkage studies of complex disorders. However, their utility for such studies of diseases with ethnic-dependent background has never been evaluated. RESULTS: To estimate the accuracy and completeness of SNP public databases, we analyzed the allele frequencies of 41 SNPs in 10 candidate genes for obesity and/or osteoporosis in a large American-Caucasian sample (1,873 individuals from 405 nuclear families) by PCR-invader assay. We compared our results with those from the databases and other published studies. Of the 41 SNPs, 8 were monomorphic in our sample. Twelve were reported for the first time for Caucasians and the other 29 SNPs in our sample essentially confirmed the respective allele frequencies for Caucasians in the databases and previous studies. The comparison of our data with other ethnic groups showed significant differentiation between the three major world ethnic groups at some SNPs (Caucasians and Africans differed at 3 of the 18 shared SNPs, and Caucasians and Asians differed at 13 of the 22 shared SNPs). This genetic differentiation may have an important implication for studying the well-known ethnic differences in the prevalence of obesity and osteoporosis, and complex disorders in general. CONCLUSION: A comparative analysis of the SNP data of the candidate genes obtained in the present study, as well as those retrieved from the public domain, suggests that the databases may currently have serious limitations for studying complex disorders with an ethnic-dependent background due to the incomplete and uneven representation of the candidate SNPs in the databases for the major ethnic groups. This conclusion attests to the imperative necessity of large-scale and accurate characterization of these SNPs in different ethnic groups.

Asian People↗