PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Single nucleotide polymorphisms”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 379 records · Page 21Linked to original sources

Quencher extension for single nucleotide polymorphism quantification in bacterial typing and microbial community analyses.

Quencher extension is a novel single-step closed tube real-time method to quantify single nucleotide polymorphisms (SNPs) in combination with primer extension. A probe with a 5'-reporter is single-base extended with a dideoxy nucleotide containing a quencher if the target SNP allele is present. The reaction is measured from the quenching (reduced fluorescence) of the reporter. The relative amount of a specific SNP allele is determined from the nucleotide incorporation rate in a thermocycling reaction. The quencher extension protocol presented was developed for SNP allele quantification in Listeria monocytogenes and for microbial community analyses.

Bacterial Typing Techniques↗

MALDI-TOF mass spectrometric typing of single nucleotide polymorphisms with mass-tagged ddNTPs.

A matrix-assisted laser desorption/ionization time-of-flight mass spectrometry based method has recently been reported for the typing of single nucleotide polymorphisms using single nucleotide primer extension. This method is limited in some cases by the resolution of the mass determination, as the mass difference between nucleotides can be as little as 9 Da (the difference between A and T). A variation of this method is described here in which a mass-tagged dideoxynucleotide is employed in the primer extension reactions in place of the unmodified dideoxynucleotide. The increased mass difference due to the presence of the mass-tags substantially improves the accuracy and versatility of the procedure.

Dideoxynucleosides↗

Analysis of -631 and -475 interleukin-2 promoter single nucleotide polymorphisms in multiple sclerosis.

We have analysed the interleukin-2 (IL-2) promoter single nucleotide polymorphisms -475 A/T and -631 G/A, relative to the initiation codon, in patients with multiple sclerosis (MS) and in healthy controls. Both groups showed a very low frequency of T at -475 and A at -631. Our results suggest that these polymorphisms do not contribute to MS susceptibility.

Genetic Predisposition to Disease↗

Investigations into the molecular effects of single nucleotide polymorphism.

OBJECTIVES: DNA sequences are very rich in short repeats and their pattern can be altered by point mutations. We wanted to investigate the effect of single nucleotide polymorphism (SNP) on the pattern of short DNA repeats and its biological consequences. METHODS: Analysis of the pattern of short DNA repeats of the Thy-1 sequence with and without SNP. Searching for DNA-binding factors in any region of significance. RESULTS: Comparing the pattern of short repeats in the Thy-1 gene sequences of Turkish patients with ataxia telangiectasia (AT) with the "wild type" sequence from the DNA database, we identified a missing 8-bp repeat element due to an SNP in position 1271 (intron II) in AT-DNA sequences. Only the mutated sequence had the potential for the formation of a stem loop in DNA or pre-mRNA. In super-shift experiments we found that DNA oligomers covering the area of this SNP formed a complex with proteins amongst which we identified the proliferating cell nuclear antigen (PCNA) protein. CONCLUSION: SNPs have the potential to alter DNA or pre-mRNA conformation. Although no SNP-depeding formation of the DNA-protein complex was evident, future investigations could reveal differential molecular mechanisms of cellular regulation.

Ataxia Telangiectasia↗

CHOISS for selection of single nucleotide polymorphism markers on interval regularity.

We developed algorithms that find a set of single nucleotide polymorphism (SNP) markers based on interval regularity, given either the number of SNPs to choose (m) or the desired interval (I), subject to minimum variance or minimum sum of squared deviations from I. In both cases, the number of all possible sets increases exponentially with respect to the number of input SNPs (n), but our algorithms find the minima only with O(n(2)) calculations and comparisons by elimination of redundancy.

Algorithms↗

Analysis of single nucleotide polymorphisms in uridine/cytidine kinase gene encoding metabolic enzyme of 3'-ethynylcytidine.

We investigated single nucleotide polymorphisms (SNPs) in uck2 gene encoding metabolic enzyme of 3'-ethynylcytidine (ECyd) which were associated with drug response of ECyd, and the newly synthesized antitumor ribonucleoside analog. We analized that on exon-intron junction and exon region to affect the qualitative alteration of gene product directly in ECyd sensitive and resistant human cancer cell lines. As the results, cSNP and sSNP were detected in exon 4. In the promoter region, 3 SNPs were detected. Our data seem to be able to give an important knowledge, when ECyd is applied clinically.

Cytidine↗

3rd International Meeting on Single Nucleotide Polymorphism and Complex Genome Analysis: SNPs: 'some notable progress'.

Fervent activities for the collection and exploitation of single nucleotide polymorphism (SNP) data continue, amid concerns about their real utility. The desire to understand complex disease aetiology remains a key driving force for this activity. Recent developments provided a level of cautious optimism not seen in previous International Meetings on Single Nucleotide Polymorphism and Complex Genome Analysis. The 3rd such meeting, held 8-11 September 2000 in Taos, New Mexico, covered research on technologies for SNP scoring, analytical tools for using SNPs to map disease genes, examples from researchers using SNPs for specific disease studies, and databases and tools for facilitating these activities. Studies of human history, and a range of studies upon model organisms were also represented. Whilst the transition from technology oriented work (methods, discovery, etc.) to successful biological application is occurring relatively slowly, a clear trend in this direction is now apparent, and it will surely gain momentum in future months and years. Many fundamental properties of SNPs remain unknown, and many other basic questions are still unanswered, but the field is moving forward on all necessary fronts, promising exciting advances just around the corner.

Genetic Techniques↗

Mutation and single nucleotide polymorphism detection using temperature gradient capillary electrophoresis.

Rapid, high-throughput mutation and single nucleotide polymorphism detection technologies are necessary to identify sequence alterations responsible for human disease. Several screening techniques have been developed as alternatives to the costly and time-consuming task of direct gene sequencing. Unfortunately, many of these techniques have relatively low mutation detection sensitivities and/or require significant up-front assay optimization. Temperature gradient capillary electrophoresis is a relatively new mutation screening technology that capitalizes on the denaturing effects of temperature and the high resolution capacity of capillary electrophoresis to detect heteroduplexes formed between mutant and wild type gene sequences. The utility of temperature gradient capillary electrophoresis for the detection of known sequence alterations and as a tool for mutation discovery is reviewed.

DNA Mutational Analysis↗

Identification of tag single-nucleotide polymorphisms in regions with varying linkage disequilibrium.

We compared seven different tagging single-nucleotide polymorphism (SNP) programs in 10 regions with varied amounts of linkage disequilibrium (LD) and physical distance. We used the Collaborative Studies on the Genetics of Alcoholism dataset, part of the Genetic Analysis Workshop 14. We show that in regions with moderate to strong LD these programs are relatively consistent, despite different parameters and methods. In addition, we compared the selected SNPs in a multipoint linkage analysis for one region with strong LD. As the number of selected SNPs increased, the LOD score, mean information content, and type I error also increased.

Chromosome Mapping↗

High speed single nucleotide polymorphism typing of a hereditary haemochromatosis mutation with capillary array electrophoresis microplates.

A single nucleotide polymorphism (SNP) typing assay is developed and evaluated on a microfabricated capillary array electrophoresis system. Using fluorescently labeled allele-specific primers, the S65C (193A-->T) substitution associated with hereditary haemochromatosis in the HFE gene is genotyped. The covalently labeled polymerase chain reaction (PCR) products are separated on a microfabricated radial capillary array electrophoresis microplate using nondenaturing gel media in under two minutes. Detection is accomplished with a laser-excited rotary confocal scanner. The Rox-labeled A-allele specific amplicon (211 bp) is differentiated from the R110-labeled T-allele specific amplicon (201 bp) by both size and color. This study demonstrates the feasibility of using allele-specific PCR with covalently labeled primers for high speed fluorescent SNP typing on microfabricated radial capillary array electrophoresis microplates.

Alleles↗

Comparison of strategies for selecting single nucleotide polymorphisms for case/control association studies.

It is widely believed that a subset of single nucleotide polymorphisms (SNPs) is able to capture the majority of the information for genotype-phenotype association studies that is contained in the complete compliment of genetic variations. The question remains, how does one select that particular subset of SNPs in order to maximize the power of detecting a significant association? In this study, we have used a simulation approach to compare three competing methods of site selection: random selection, selection based on pair-wise linkage disequilibrium, and selection based on maximizing haplotype diversity. The results indicate that site selection based on maximizing haplotype diversity is preferred over random selection and selection based on pair-wise linkage disequilibrium. The results also indicate that it is more prudent to increase the sample size to improve a study's power than to continuously increase the number of SNPs. These results have direct implications for designing gene-based and genome-wide association studies.

Case-Control Studies↗

A comparison in association and linkage genome-wide scans for alcoholism susceptibility genes using single-nucleotide polymorphisms.

We conducted genome-wide linkage scans using both microsatellite and single-nucleotide polymorphism (SNP) markers. Regions showing the strongest evidence of linkage to alcoholism susceptibility genes were identified. Haplotype analyses using a sliding-window approach for SNPs in these regions were performed. In addition, we performed a genome-wide association scan using SNP data. SNPs in these regions with evidence of association (P <or= 0.0001) were identified. We found that the general patterns for nonparametric linkage (NPL) scores from SNP and microsatellite genome scans are fairly consistent; however, the peaks of the NPL scores are mostly higher in the SNP-based scan than those using microsatellite markers, which might be located at different regions. Furthermore, SNPs identified from linkage screens were not so strongly associated with alcoholism (the most significant SNP had a p-value of 0.030) as those identified from association genomic screening (the most significant SNP had a p-value of 2.0 x 10(-8)).

Alcoholism↗

topoSNP: a topographic database of non-synonymous single nucleotide polymorphisms with and without known disease association.

The database of topographic mapping of Single Nucleotide Polymorphism (topoSNP) provides an online resource for analyzing non-synonymous SNPs (nsSNPs) that can be mapped onto known 3D structures of proteins. These include disease- associated nsSNPs derived from the Online Mendelian Inheritance in Man (OMIM) database and other nsSNPs derived from dbSNP, a resource at the National Center for Biotechnology Information that catalogs SNPs. TopoSNP further classifies each nsSNP site into three categories based on their geometric location: those located in a surface pocket or an interior void of the protein, those on a convex region or a shallow depressed region, and those that are completely buried in the interior of the protein structure. These unique geometric descriptions provide more detailed mapping of nsSNPs to protein structures. The current release also includes relative entropy of SNPs calculated from multiple sequence alignment as obtained from the Pfam database (a database of protein families and conserved protein motifs) as well as manually adjusted multiple alignments obtained from ClustalW. These structural and conservational data can be useful for studying whether nsSNPs in coding regions are likely to lead to phenotypic changes. TopoSNP includes an interactive structural visualization web interface, as well as downloadable batch data. The database will be updated at regular intervals and can be accessed at: http://gila.bioengr.uic.edu/snp/toposnp.

Computational Biology↗

An evolutionary perspective on single-nucleotide polymorphism screening in molecular cancer epidemiology.

Given that there are millions of single-nucleotide polymorphisms (SNPs) in the entire human genome, a major difficulty faced by scientists in planning costly population-based genotyping is to choose target SNPs that are most likely to affect phenotypic functions and ultimately contribute to disease development. Although it is widely accepted that sequences with important functionality tend to be less variable across species because of selective pressure, to what extent evolutionary conservation is mirrored by epidemiological outcome has never been demonstrated. In this study, we surveyed odds ratios detected for 46 SNPs in 39 different cancer-related genes from 166 molecular epidemiological studies. The conservation levels of amino acid that these SNPs affected were calculated as a tolerance index by comparing sequences from different species. Our results provide evidence of a significant relationship between the detected odds ratios associated with cancer risk and the conservation levels of the SNP-affected amino acids (P = 0.002; R(2) = 0.06). Tolerance indices were further calculated for 355 nonsynonymous SNPs identified in 90 human DNA repair genes, of which 103 caused amino acid changes in very conserved positions. Our findings support the concept that SNPs altering the conserved amino acids are more likely to be associated with cancer susceptibility. Using such a molecular evolutionary approach may hold great promise for prioritizing SNPs to be genotyped in future molecular epidemiological studies.

Alleles↗

Single nucleotide polymorphisms of the inflammatory cytokine genes in adults with chronic immune thrombocytopenic purpura.

Single nucleotide polymorphisms (SNPs) of inflammatory cytokine genes were examined in 84 adult Japanese patients with chronic immune thrombocytopenic purpura (ITP) and 56 race-matched healthy controls. The SNPs examined were within the genes encoding tumour necrosis factor (TNF)-alpha (-238 G/A and -308 G/A), TNF-beta (+252 G/A), and interleukin (IL)-1beta (-511 C/T and +3953 T/C). Of these SNPs, the frequency of the TNF-beta (+252) G/G phenotype was significantly higher in ITP patients than in healthy controls (21% vs. 7%, P = 0.04, odds ratio = 3.6, 95% confidence interval 1.1-11.1), while no significant association was detected for the other SNPs. The distribution of the TNF-beta (+252) phenotype was not associated with human leucocyte antigen class II alleles or the therapeutic response in ITP patients. The frequency of circulating anti-glycoprotein IIb/IIIa antibody-producing B cells was significantly higher in ITP patients with the TNF-beta (+252) G/G phenotype than in those with the G/A or A/A phenotype (11.9 +/- 4.9 vs. 6.8 +/- 4.9 and 3.7 +/- 2.8 per 10(5) peripheral blood mononuclear cells; P = 0.02 and P < 0.001, respectively). These findings suggest that the SNP located at TNF-beta (+252) contributes to susceptibility to chronic ITP by controlling the autoreactive B-cell responses to platelet membrane glycoproteins.

Adult↗

Robust allele-specific polymerase chain reaction markers developed for single nucleotide polymorphisms in expressed barley sequences.

Many methods have been developed to assay for single nucleotide polymorphisms (SNPs), but generally these depend on access to specialised equipment. Allele-specific polymerase chain reaction (AS-PCR) is a method that does not require specialised equipment (other than a thermocycler), but there is a common perception that AS-PCR markers can be unreliable. We have utilised a three primer AS-PCR method comprising of two flanking-primers combined with an internal allele-specific primer. We show here that this method produces a high proportion of robust markers (from candidate allele specific primers). Forty-nine inter-varietal SNP sites in 31 barley (Hordeum vulgare L.) genes were targeted for the development of AS-PCR assays. The SNP sites were found by aligning barley expressed sequence tags from public databases. The targeted genes correspond to cDNAs that have been used as restriction fragment length polymorphic probes for linkage mapping in barley. Two approaches were adopted in developing the markers. In the first approach, designed to maximise the successful development of markers to a SNP site, markers were developed for 18 sites from 19 targeted (95% success rate). With the second approach, designed to maximise the number of markers developed per primer synthesised, markers were developed for 18 SNP sites from 30 that were targeted (a 60% success rate). The robustness of markers was assessed from the range of annealing temperatures over which the PCR assay was allele-specific. The results indicate that this form of AS-PCR is highly successful for the development of robust SNP markers.

Alleles↗

Linkage analysis of complex diseases using microsatellites and single-nucleotide polymorphisms: application to alcoholism.

The efficacy of linkage studies using microsatellites and single-nucleotide polymorphisms (SNPs) was evaluated. Analyzed data were supplied by the Collaborative Study on the Genetics of Alcoholism (COGA). Alcoholism was analyzed together with a simulated trait caused by a gene of known position, through a nonparametric linkage test (NPL). For the alcoholism trait, four densities of SNPs (1 SNP per 0.2 cM, 0.5 cM, 1 cM and 2 cM) showed higher peaks of NPL z scores and smaller significant p-values than the usual 10-cM density of microsatellites. However, the two highest densities of SNPs had unstable z score signals, and therefore were difficult to interpret. Analyzing a simulated trait with the same markers in the same pedigrees, we confirmed the higher power of all four densities of SNPs compared to the 10-cM microsatellites panel, although the existence of other confounding peaks was confirmed for maps that are denser than 1 SNP/cM. We further showed that estimating the gene position using SNPs is far less biased than using the usual panel of microsatellites (biases of 0-2 cM for SNPs vs. 8.9 cM for microsatellites). We conclude that using dense maps of SNPs in linkage analysis is more powerful and less biased than using the 10-cM maps of microsatellites. However, linkage signals can be unstable and difficult to interpret when several SNPs are genotyped per centimorgan. The power and accuracy of 1 SNP/cM or 1 SNP/2 cM may be sufficient in a genome-wide linkage scan while denser maps may be most useful in fine-gene mapping studies exploiting linkage disequilibrium.

Alcoholism↗

Silencing-specific methylation and single nucleotide polymorphism of hMLH1 promoter in gastric carcinomas.

AIM: To investigate CpG methylation and single nucleotide polymorphism (SNP) of a specific promoter region of hMLH1 in primary gastric carcinoma. METHODS: Primary gastric carcinomas (n=80), their corresponding normal mucosal samples, and gastric mucosal biopsies from normal/gastritis control patients (n=54) were used. Hypermethylation at -253 nt and -251 nt in relation with the translational start site and SNP of a silencing specific region (-339 nt-46 nt) in the hMLH1 promoter were analyzed by Bst UI-combined bisulfite assay (COBRA), denaturing high performance liquid chromatogram (DHPLC), and sequencing. RESULTS: (A) The specific methylation at -253 nt and -251 nt was observed in 2 of 60 primary gastric carcinomas, but neither in all of the corresponding mucosa nor in normal/gastritis samples, by Bst UI-COBRA and DHPLC. (B) The hMLH1 promoter was methylated homogeneously in the xenograft of the primary gastric carcinoma with the methylated and unmethylated hMLH1. (C) The pattern of SNP at -93 nt of the hMLH1 promoter in 54 Chinese patients with gastric carcinoma was the same as that in the control patients: 51 % was A/G heteroalleles, 34 % and 15 % were A/A and G/G homoalleles, respectively. CONCLUSION: Biallelic inactivation of hMLH1 by epigenetic silencing existed in human primary gastric carcinoma homogeneously. Hypermethylation of hMLH1 may play a role in the early stage of development of a few gastric carcinomas. The SNP at -93 nt is not related to the susceptibility of gastric carcinomas.

Adaptor Proteins, Signal Transducing↗