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PubMed2005

SOP3: a web-based tool for selection of oligonucleotide primers for single nucleotide polymorphism analysis by Pyrosequencing.

SOP3 is a web-based software tool for designing oligonucleotide primers for use in the analysis of single nucleotide polymorphisms (SNPs). Accessible via the Internet, the application is optimized for developing the PCR and sequencing primers that are necessary for Pyrosequencing. The application accepts as input gene name, SNP reference sequence number, or chromosomal nucleotide location. Output can be parsed by gene name, SNP reference number, heterozygosity value, location, chromosome, or function. The location of an individual polymorphism, such as an intron, exon, or 5' or 3' untranslated region is indicated, as are whether nucleotide changes in an exon are associated with a change in an amino acid sequence. SOP3 presents for each entry a set of forward and biotinylated reverse PCR primers as well as a sequencing primer for use during the analysis of SNPs by Pyrosequencing. Theoretical pyrograms for each allele are calculated and presented graphically. The method has been tested in the development of Pyrosequencing assays for determining SNPs and for deletion/insertion polymorphisms in the human genome. Of the SOP3-designed primer sets that were tested, a large majority of the primer sets have successfully produced PCR products and Pyrosequencing data.

Algorithms↗
PubMed2001

Efficient and cost-effective single nucleotide polymorphism detection with different fluorescent applications.

Three methods-5'nuclease assay with TaqMan, minisequencing, and oligonucleotide ligation assay (OLA)-were compared to detectfive single nucleotide polymorphisms (SNPs) in three separate genes. Each method had advantages and disadvantages. The 5' nuclease assay was the fastest and required only a single step. OLA was the most time consuming to optimize, but once running it was the least expensive method. Minisequencing was universal; however, the technique was also the most expensive. All three methods were reliable and highly effective. Investigators must consider their goals in terms of time, sample number, and expense when selecting among these genotyping techniques.

Base Sequence↗
PubMed2005

SNPAnalyzer: a web-based integrated workbench for single-nucleotide polymorphism analysis.

SNPAnalyzer is a software that performs four essential statistical analyses of SNPs in a common computational environment. It is composed of three main modules: (i) data manipulation, (ii) analysis and (iii) visualization. The data manipulation module is responsible for data input and output, and handles genotype, phenotype and genetic distance data. To ensure user convenience, the data format is simple. The analysis module performs statistical calculations and consists of four subcomponents: (i) Hardy-Weinberg equilibrium, (ii) Haplotype Estimation, (iii) linkage disequilibrium (LD) and (iv) quantitative trait locus analysis. The main feature of the analysis module is multiple implementations of different algorithms and indices for haplotype estimation and for LD analysis. This enables users to compare separate results generated by different algorithms, which help to avoid biased results acquired by applying a single statistical algorithm. The performance of all implemented algorithms has been validated using experimentally proven datasets. The visualization module presents most of the analyzed results as figures, rather than as simple text, which aids in the intuitive understanding of complex data. The SNPAnalyzer has been developed using C and C++ and is available at http://www.istech.info/istech/board/login_form.jsp.

Algorithms↗
PubMed2004

Recovering frequencies of known haplotype blocks from single-nucleotide polymorphism allele frequencies.

Prospects for large-scale association studies rely on economical methods and powerful analysis. Representing available SNPs by small subsets and measuring allele frequencies on pooled DNA samples each improve genotyping cost effectiveness, while haplotype analysis may highlight associations in otherwise underpowered studies. This manuscript provides the mathematical framework to integrate these methodologies.

Gene Frequency↗
PubMed2006

A single-nucleotide-polymorphism-based multilocus genotyping assay for subtyping lineage I isolates of Listeria monocytogenes.

Listeria monocytogenes is a facultative intracellular pathogen responsible for food-borne disease with high mortality rates in humans and is the leading microbiological cause of food recalls. Lineage I isolates of L. monocytogenes are a particular public health concern because they are responsible for most sporadic cases of listeriosis and the vast majority of epidemic outbreaks. Rapid, reproducible, and sensitive methods for differentiating pathogens below the species level are required for effective pathogen control programs, and the CDC PulseNet Task Force has called for the development and validation of DNA sequence-based methods for subtyping food-borne pathogens. Therefore, we developed a multilocus genotyping (MLGT) assay for L. monocytogenes lineage I isolates based on nucleotide variation identified by sequencing 23,251 bp of DNA from 22 genes distributed across seven genomic regions in 65 L. monocytogenes isolates. This single-well assay of 60 allele-specific probes captured 100% of the haplotype information contained in approximately 1.5 Mb of comparative DNA sequence and was used to reproducibly type a total of 241 lineage I isolates. The MLGT assay provided high discriminatory power (Simpson's index value, 0.91), uniquely identified isolates from the eight listeriosis outbreaks examined, and differentiated serotypes 1/2b and 4b as well as epidemic clone I (ECI), ECIa, and ECII. In addition, the assay included probes for a previously characterized truncation mutation in inlA, providing for the identification of a specific virulence-attenuated subtype. These results demonstrate that MLGT represents a significant new tool for use in pathogen surveillance, outbreak detection, risk assessment, population analyses, and epidemiological investigations. DNA sequences were deposited in the GenBank database under accession numbers DQ 812146 to DQ 812517, DQ 843664 to DQ 844598, and AY 512391 to AY 512502.

Bacterial Proteins↗
PubMed2005

Two functional coding single nucleotide polymorphisms in STK15 (Aurora-A) coordinately increase esophageal cancer risk.

STK15/Aurora-A is a serine/threonine kinase essential for chromosome segregation and cytokinesis, and is considered to be a cancer susceptibility gene in mice and humans. Two coding single nucleotide polymorphisms in Aurora-A, 91T>A [phenylalanine/isoleucine (F/I)] and 169G>A [valine/isoleucine (V/I)], create four haplotypes, 91T-169G, 91A-169G, 91T-169A, and 91A-169A. We evaluated the association between these coding single nucleotide polymorphisms and esophageal cancer risk by genotyping 197 esophageal cancer cases and 146 controls. Haplotype 91A-169A (I31/I57) was observed to be statistically more frequent in cancer cases (odds ratio, 3.1452; 95% confidence interval, 1.0258-9.6435). Functional differences among the four isoforms were then analyzed to reveal the source of the cancer risk. Kinase activity levels of I31/I57 and F31/I57 were reduced to 15% and 40% compared with I31/V57 in vivo and in vitro. We considered the differences between the kinase activities and divided individuals into four categories of Aurora-A haplotype combination. Category I had 57.5% or less kinase activity compared with the most common category, category III, and had a significantly higher estimated cancer risk (odds ratio, 5.5328; 95% confidence interval, 1.8149-16.8671). Abnormal nuclear morphology, a characteristic of genomic instability, was observed to be 30 to 40 times more frequent in human immortalized fibroblast cells overexpressing I31/I57 or F31/I57 compared with the others. Furthermore, significantly higher levels of chromosomal instability were observed in cancers in category I (homozygote 91T-169A) than those in category III (homozygous 91A-169G). These results indicate that the less kinase active Aurora-A haplotype combinations might induce genomic instability and increase esophageal cancer risk either in a recessive or a dominant manner.

Aurora Kinase A↗
PubMed2005

Single nucleotide polymorphism analysis based on minisequencing coupled with a fluorescence microsphere technology.

In this paper, we describe a new method for detection of single nucleotide polymorphisms (SNPs) by applying the minisequencing principle to a fluorescence microsphere format. The specific primer, which was designed to anneal to its target of genomic DNA fragment immediately upstream of the polymorphic site, was immobilized to carboxylated Luminex microspheres as a probe. The primer was hybridized with genomic DNA fragments containing polymorphic sites and extended one base in the presence of biotin labeled ddNTP and DNA polymerase. After the extension reaction, Streptavidin-phycoerythrin was added to a reaction mixture to combine the biotin labeled with ddNTP. The final reaction products were analyzed by a Luminex 100 instrument. The fluorescence intensity of the Streptavidin-phycoerythrin combined with the extended ddNTP-biotin was used to identify the SNPs. The results showed that this method is highly sensitive, specific, and suitable for quantitative SNP detection. There was a good linear relationship between the mutant allele frequencies and the relative fluorescence intensities produced by mutant and wild-type gene fragments. A mutant allele frequency as low as 1.0% was accurately determined.

Alleles↗
PubMed2004

Maximum-likelihood estimation of demographic parameters using the frequency spectrum of unlinked single-nucleotide polymorphisms.

A maximum-likelihood method for demographic inference is applied to data sets consisting of the frequency spectrum of unlinked single-nucleotide polymorphisms (SNPs). We use simulation analyses to explore the effect of sample size and number of polymorphic sites on both the power to reject the null hypothesis of constant population size and the properties of two- and three-dimensional maximum-likelihood estimators (MLEs). Large amounts of data are required to produce accurate demographic inferences, particularly for scenarios of recent growth. Properties of the MLEs are highly dependent upon the demographic scenario, as estimates improve with a more ancient time of growth onset and smaller degree of growth. Severe episodes of growth lead to an upward bias in the estimates of the current population size, and that bias increases with the magnitude of growth. One data set of African origin supports a model of mild, ancient growth, and another is compatible with both constant population size and a variety of growth scenarios, rejecting greater than fivefold growth beginning >36,000 years ago. Analysis of a data set of European origin indicates a bottlenecked population history, with an 85% population reduction occurring approximately 30,000 years ago.

Black or African American↗
PubMed2000

Suspension arrays for high throughput, multiplexed single nucleotide polymorphism genotyping.

BACKGROUND: Genetic diversity can help explain disease susceptibility and differential drug response. The most common type of variant is the single nucleotide polymorphism (SNP). We present a low-cost, high throughput assay for SNP genotyping. METHODS: The assay uses oligonucleotide probes covalently attached to fluorescently encoded microspheres. These probes are hybridized directly to fluorescently labeled polymerase chain reaction (PCR) products and the results are analyzed in a standard flow cytometer. RESULTS: The genotypes determined with our assay are in good agreement with those determined by TaqMan. The range of G/C content for oligonucleotide probes was 23.5-65% in the 17 bases surrounding the SNP. Further optimization of probe length and target concentration is shown to dramatically enhance the assay performance for certain SNPs. Using microspheres which have unique fluorescent signatures, we performed a 32-plex assay where we simultaneously determined the genotypes of eight different polymorphic genes. CONCLUSIONS: We demonstrate, for the first time, the feasibility of multiplexed genotyping with suspension arrays using direct hybridization analyses. Our approach enables probes to be removed from or added to an array, enhancing flexibility over conventional chips. The ability to multiplex both the PCR preparation and the hybridization should enhance the throughput, cost, and speed of the assay.

Artifacts↗
PubMed2004

Association of a novel single nucleotide polymorphism in the human perforin gene with the outcome of HTLV-I infection in patients from northeast Iran (Mash-had).

Human T lymphotropic virus I (HTLV-I)-specific cytotoxic T lymphocytes (CTL) recognize the products of the HTLV-I Tax, in the context of HLA-A2 and kill their target through a perforin-dependent mechanism. The efficiency of the CTL response may lead HTLV-I-infected individuals to remain carriers or to the development of HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP). Perforin is a cytolytic molecule that contributes to CTL-mediated killing of virus-infected cells. Thus polymorphism in the perforin gene may determine the efficiency of the CTL response in HTLV-I-infected individuals. In this study, we performed single-stranded conformational polymorphism (SSCP) and DNA sequencing to analyze the promoter, 5' UTR and first intron of the perforin gene to identify novel polymorphisms. We detected a novel polymorphism in the first intron at position +418*C/T, relative to the transcription start site. Genotyping of patients with HAM/TSP, HTLV-I carriers, and healthy controls revealed that the frequency of the C allele was statistically significantly increased in HAM/TSP patients compared with healthy controls group (p = 0.005). The frequency of the C allele was higher, but not significantly so, in the HAM/TSP group compared with HTLV-I carriers (p = 0.09), whereas there was no difference between HTLV-I carriers and healthy controls. Our results suggest that the perforin +418*C/T polymorphism is associated with the outcome of HTLV-I infection.

DNA Fingerprinting↗
PubMed2002

Coding sequence 1 and promoter single nucleotide polymorphisms in the CTLA-4 gene in Wegener's granulomatosis.

OBJECTIVE: To analyze the association of Wegener's granulomatosis (WG) with 2 single nucleotide polymorphisms (SNP), a +49 A/G polymorphism in coding sequence (CDS) 1 and a C/T base exchange in the promoter region at position -318. METHODS: Restriction enzyme digestion of PCR amplified genomic DNA was used to analyze the CTLA-4 SNP in 32 patients with WG and 100-122 ethnically matched healthy controls. RESULTS: Patients were more often heterozygous for C/T in the promoter region (31% of the patients vs 14% of controls; p < 0.05). Homozygosity for C was less frequent in patients (69% of patients vs 86% of controls; p < 0.05). There was no association with the A/G SNP in CDS 1. There was a linkage disequilibrium between allele A of CDS 1 and the shortest allele, 86 bp, in the (AT)n of the 3' untranslated region in controls but not in patients. CONCLUSION: The CTLA-4 SNP in the promoter region at position -318 is associated with WG. The loss of linkage disequilibrium between allele A of CDS 1 and the short 86 bp in the (AT)n in patients indicates that the promoter SNP and the (AT)n polymorphism are independent genetic risk factors.

Abatacept↗
PubMed2006

Specific detection of Campylobacter jejuni from faeces using single nucleotide polymorphisms.

Specimens of human faeces were tested by a rapid strategy for detection of Campylobacter jejuni lineages by the presence of specific single nucleotide polymorphisms (SNPs) based on the C. jejuni multi locus sequence typing (MLST) scheme. This strategy was derived from analysis of the MLST databases to identify clonal complex specific SNPs followed by the design of real-time PCR assays to enable identification of six major C. jejuni clonal complexes associated with cases of human infection. The objective was to use the MLST SNP-based assays for the direct detection of C. jejuni by clonal complex from specimens of human faeces, and then confirm the accuracy of the clonal complex designation from the SNP-based assays by performing MLST on the cultured faecal material, this targeted at determining the validity of direct molecular specimen identification. Results showed it was possible to identify 38% of the isolates to one of the six major MLST clonal complexes using a rapid DNA extraction method directly from faeces in under 3 h. This method provides a novel strategy for the use of real-time PCR for detection and characterization beyond species level, supplying real-time epidemiological data, which is comparable with MLST results.

Campylobacter jejuni↗
PubMed1997

Enhanced discrimination of single nucleotide polymorphisms by artificial mismatch hybridization.

In order to increase the discrimination of single nucleotide polymorphisms in DNA hybridization, artificial mismatches are inserted into probe oligonucleotides using the base analog 3-nitropyrrole. Differences in thermal stability (delta Tm) between hybrids formed with normal and single-nucleotide-variant DNA targets are increased by as much as 200% over conventional hybridization, and are strongly dependent upon the spacing between mismatches. The increased specificity is demonstrated by hybridization analysis and allele-specific amplification within the HLA-DRB locus.

Alleles↗
PubMed2005

Genetics of scleroderma: update on single nucleotide polymorphism analysis and microarrays.

PURPOSE OF REVIEW: Recent family, twin, and genetic association studies suggest a genetic basis for the susceptibility to systemic sclerosis or scleroderma. The purpose of this review is to summarize the results of genetic association and gene expression profiling studies from January 2004 to May 2005. RECENT FINDINGS: In the review period, only a handful reports on single nucleotide polymorphism analysis of candidate genes and transcriptional profiling have been published. SUMMARY: Currently, single nucleotide polymorphism association studies in systemic sclerosis use small sample sizes and have low reproducibility. To detect associations with candidate genes that confer a modest relative risk for disease in the general population, studies are needed with much larger sample sizes that also account for the effects of population stratification. Candidate genes or pathways identified through microarrays can be explored as potential biomarkers, used for molecular phenotyping of systemic sclerosis, or targeted for future genetic association studies.

DNA↗
PubMed2004

Rapid detection of single nucleotide polymorphisms associated with spinal muscular atrophy by use of a reusable fibre-optic biosensor.

Rapid (<2 min) and quantitative genotyping for single nucleotide polymorphisms (SNPs) associated with spinal muscular atrophy was done using a reusable (approximately 80 cycles of application) fibre-optic biosensor over a clinically relevant range (0-4 gene copies). Sensors were functionalized with oligonucleotide probes immobilized at high density (approximately 7 pmol/cm2) to impart enhanced selectivity for SNP discrimination and used in a total internal reflection fluorescence detection motif to detect 202 bp PCR amplicons from patient samples. Real-time detection may be done over a range of ionic strength conditions (0.1-1.0 M) without stringency rinsing to remove non-selectively bound materials and without loss of selectivity, permitting a means for facile sample preparation. By using the time-derivative of fluorescence intensity as the analytical parameter, linearity of response may be maintained while allowing for significant reductions in analysis time (10-100-fold), permitting for the completion of measurements in under 1 min.

Biosensing Techniques↗
PubMed2004

Little loss of information due to unknown phase for fine-scale linkage-disequilibrium mapping with single-nucleotide-polymorphism genotype data.

We present the results of a simulation study that indicate that true haplotypes at multiple, tightly linked loci often provide little extra information for linkage-disequilibrium fine mapping, compared with the information provided by corresponding genotypes, provided that an appropriate statistical analysis method is used. In contrast, a two-stage approach to analyzing genotype data, in which haplotypes are inferred and then analyzed as if they were true haplotypes, can lead to a substantial loss of information. The study uses our COLDMAP software for fine mapping, which implements a Markov chain-Monte Carlo algorithm that is based on the shattered coalescent model of genetic heterogeneity at a disease locus. We applied COLDMAP to 100 replicate data sets simulated under each of 18 disease models. Each data set consists of haplotype pairs (diplotypes) for 20 SNPs typed at equal 50-kb intervals in a 950-kb candidate region that includes a single disease locus located at random. The data sets were analyzed in three formats: (1). as true haplotypes; (2). as haplotypes inferred from genotypes using an expectation-maximization algorithm; and (3). as unphased genotypes. On average, true haplotypes gave a 6% gain in efficiency compared with the unphased genotypes, whereas inferring haplotypes from genotypes led to a 20% loss of efficiency, where efficiency is defined in terms of root mean integrated square error of the location of the disease locus. Furthermore, treating inferred haplotypes as if they were true haplotypes leads to considerable overconfidence in estimates, with nominal 50% credibility intervals achieving, on average, only 19% coverage. We conclude that (1). given appropriate statistical analyses, the costs of directly measuring haplotypes will rarely be justified by a gain in the efficiency of fine mapping and that (2). a two-stage approach of inferring haplotypes followed by a haplotype-based analysis can be very inefficient for fine mapping, compared with an analysis based directly on the genotypes.

Algorithms↗
PubMed2006

Experimental validation of data mined single nucleotide polymorphisms from several databases and consecutive dbSNP builds.

Rapid development in the annotation of human genetic variation has increased the numbers of single nucleotide polymorphisms (SNPs) in candidate genes by several orders of magnitude. The selection of both useful target SNPs for disease-gene association studies and SNPs associated with the treatment response is therefore an increasingly challenging task. We describe a workflow for selecting SNPs based on their putative function and frequency in candidate genes extracted from PubMed resources. The annotation of each SNP and its frequency in a Caucasian population was assessed in several databases. Approximately 4000 SNPs were identified from an initial 233 candidate genes. In a case study, we performed actual genotyping of 1030 of these SNPs in 213 genes and obtained 710 successfully genotyped SNPs. Using the flow-chart outlined here, only 87 SNPs were monomorphic (approximately 12%). This study reports the frequency of SNPs in a Caucasian population, selected in silico, using a candidate gene approach and validated by actually genotyping 193 individuals. The selected genotypes represent a valuable set of verified candidate SNPs for pharmacogenetic studies in Caucasian populations.

Breast Neoplasms↗
PubMed2006

Single-nucleotide polymorphism genotyping by nanoparticle-enhanced surface plasmon resonance imaging measurements of surface ligation reactions.

A sensitive method for the analysis of single nucleotide polymorphisms (SNPs) in genomic DNA that utilizes nanoparticle-enhanced surface plasmon resonance imaging (SPRI) measurements of surface enzymatic ligation reactions on DNA microarrays is demonstrated. SNP identification was achieved by using sequence-specific surface reactions of the enzyme Taq DNA ligase, and the presence of ligation products on the DNA microarray elements was detected using SPRI through the hybridization adsorption of complementary oligonucleotides attached to gold nanoparticles. The use of gold nanoparticles increases the sensitivity of the SPRI so that single bases in oligonucleotides can be successfully identified at a concentration of 1 pM. This sensitivity is amply sufficient for performing multiplexed SNP genotyping by using multiple PCR amplicons and should also allow for the direct detection and identification of SNP sequences from 1 pM unamplified genomic DNA samples with this array-based and label-free SPRI methodology. As a first example of SNP genotyping, three different human genomic DNA samples were screened for a possible point mutation in the BRCA1 gene that is associated with breast cancer.

DNA↗