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Detection of MDR1 single nucleotide polymorphisms C3435T and G2677T using real-time polymerase chain reaction: MDR1 single nucleotide polymorphism genotyping assay.

The objective of this study was to develop a real-time polymerase chain reaction (PCR) method to detect MDR1 (human multidrug resistance gene) single nucleotide polymorphisms (SNPs) C3435T and G2677T. C3435T and G2677T are linked to MDR1*2, which is associated with enhanced efflux activity in vitro. Using the Smart Cycler, an allele-specific real-time PCR-based genotyping method was developed to detect C3435T and G2677T. The MDR1 genotype of human genomic DNA templates was determined by direct DNA sequencing. PCR reactions for genotyping C3435T and G2677T by using allele-specific primers were conducted in separate tubes. An additional nucleotide mismatch at the third position from the 3' end of each allele-specific primer was used to abrogate nonspecific PCR amplification. The fluorescence emitted by SYBR Green I was monitored to detect formation of specific PCR products. PCR growth curves exceeding the threshold cycle were considered positive. Fluorescence melt-curve analysis was used to corroborate results from PCR growth curves. Using PCR growth curves, our assay accurately determined hetero- and homozygosity for C3435T and G2677T. Genotype assignments based on PCR growth curve, melt-curve analysis, agarose gel electrophoresis, and direct DNA sequencing results of PCR products were in perfect agreement. We have developed a rapid MDR1 genotyping method that can be used to assess the contribution of MDR1*2 to pharmacokinetic and pharmacodynamic variability of P-glycoprotein substrates.

ATP Binding Cassette Transporter, Subfamily B, Mem↗

Efficient approach to unique single-nucleotide polymorphism discovery.

Single-nucleotide polymorphisms (SNPs) are the most frequently found DNA sequence variations in the human genome. It has been argued that a dense set of SNP markers can be used to identify genetic factors associated with complex disease traits. Because all high-throughput genotyping methods require precise sequence knowledge of the SNPs, any SNP discovery approach must involve both the determination of DNA sequence and allele frequencies. Furthermore, high-throughput genotyping also requires a genomic DNA amplification step, making it necessary to develop sequence-tagged sites (STSs) that amplify only the DNA fragment containing the SNP and nothing else from the rest of the genome. In this report, we demonstrate the utility of a SNP-screening approach that yields the DNA sequence and allele frequency information while screening out duplications with minimal cost and effort. Our approach is based on the use of a homozygous complete hydatidiform mole (CHM) as the reference. With this homozygous reference, one can identify and estimate the allele frequencies of common SNPs with a pooled DNA-sequencing approach (rather than having to sequence numerous individuals as is commonly done). More importantly, the CHM reference is preferable to a single individual reference because it reveals readily any duplicated regions of the genome amplified by the PCR assay before the duplicated sequences are found in GenBank. This approach reduces the cost of SNP discovery by 60% and eliminates the costly development of SNP markers that cannot be amplified uniquely from the genome.

Alleles↗

The efficacy of short tandem repeat polymorphisms versus single-nucleotide polymorphisms for resolving population structure.

Accurately resolving population structure in a sample is important for both linkage and association studies. In this study we investigated the power of single-nucleotide polymorphisms (SNPs) in detecting population structure in a sample of 286 unrelated individuals. We varied the number of SNPs to determine how many are required to approach the degree of resolution obtained with the Collaborative Study on the Genetics of Alcoholism (COGA) short tandem repeat polymorphisms (STRPs). In addition, we selected SNPs with varying minor allele frequencies (MAFs) to determine whether low or high frequency SNPs are more efficient in resolving population structure. We conclude that a set of at least 100 evenly spaced SNPs with MAFs of 40-50% is required to resolve population structure in this dataset. If SNPs with lower MAFs are used, then more than 250 SNPs may be required to obtain reliable results.

Alcoholism↗

Ligation-mediated rolling-circle amplification-based approaches to single nucleotide polymorphism detection.

Ligation-mediated single nucleotide polymorphism detection coupled with an efficient method of signal enhancement, such as rolling-circle amplification, hyperbranched rolling-circle amplification or PCR, has provided the foundation for the development of variable single nucleotide polymorphism genotyping and analyzing methods for different applications. Several methods based on the above approaches have been developed, enabling rapid genotyping of a large number of single nucleotide polymorphisms directly from a small amount of genomic DNA and large-scale multiplex single nucleotide polymorphism (>1000 single nucleotide polymorphisms per assay) analysis on microarrays. This review categorizes different approaches and describes the principles of each approach for single nucleotide polymorphism detection. Possible future research directions including the development of optimized methods for analysis of cytologic samples and other applications are also discussed.

Molecular Probes↗

Single-nucleotide polymorphism detection in plants using a single-stranded pyrosequencing protocol with a universal biotinylated primer.

Analysis of variations in plant genomes is increasingly focused on single-nucleotide polymorphism (SNP) analysis, increasing the need for fast yet reliable, simple, and cost-effective techniques to handle the large number of these polymorphisms within large plant genomes. Pyrosequencing technology offers a technique that takes advantage of the interaction of four enzymes in a single-tube assay to measure DNA synthesis in real time. Pyrosequencing provides a DNA sequence and an advantage over alternative techniques in poorly characterized genomes such as those of most plant species. Here we compare the use of both single-stranded and double-stranded template Pyrosequencing on plant tissue for SNP identification. Different enzymatic strategies for double-stranded template preparation were compared. Preparation of double-stranded template from plant tissue required labor-intensive purification to allow double-stranded Pyrosequencing. A more cost-effective and less labor-intensive alternative to double-stranded template preparation in plants has been developed using a universal biotinylated primer to improve the efficiency of single-stranded Pyrosequencing. This provides an efficient high-throughput method for SNP analysis by Pyrosequencing.

Biotinylation↗

Scoring single-nucleotide polymorphisms at the single-molecule level by counting individual DNA cleavage events on surfaces.

Single-nucleotide polymorphisms (SNPs) are the most frequent type of human genetic variation. Recent work has shown that it is possible to directly analyze SNPs in unamplified human genomic DNA samples using the surface-invasive cleavage reaction followed by rolling circle amplification (RCA) of the cleavage products. The ability of RCA to produce single-stranded DNA tens of thousands of nucleotides in length from a single cleaved DNA molecule on the surface suggested the possibility of detecting individual cleavage events on the surface. The feasibility of this approach to SNP scoring is shown here. Individual cleavage events on the surface are detected using fluorescence microscopy to visualize the single-stranded DNA product of the RCA reaction labeled with the fluorescent dye SYBR Green I. The surface density of fluorescent features observed is dependent upon the concentration of target DNA. Future reductions of the sample volume and optimization of the reaction conditions offer the potential of being able to perform such analyses on as little as a single copy of genomic DNA target.

DNA↗

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↗

Single nucleotide polymorphism genotyping of aldehyde dehydrogenase 2 gene using a single bacterial magnetic particle.

A single nucleotide polymorphism (SNP) genotyping for aldehyde dehydrogenase 2 gene (ALDH2) has been developed by using a nano-sized magnetic particle, which was synthesized intracellularly by magnetic bacteria. Streptavidin-immobilized on bacterial magnetic particles (BMPs) were prepared using biotin labeled cross-linkers reacting with the amine group on BMPs. ALDH2 fragments from genomic DNA were amplified using a TRITC labeled primer and biotin labeled primer pair, and conjugated onto BMP surface by biotin-streptavidin interaction. PCR product-BMP complex was observed at a single particle level by fluorescence microscopy. These complexes were treated with restriction enzyme, specifically digesting the wild-type sequence of ALDH2 (normal allele of ALDH2). The homozygous (ALDH2*1/*1), heterozygous (ALDH2*1/*2), and mutant (ALDH2*2/*2) genotypes were discriminated by three fluorescence patterns of each particle. SNP genotyping of ALDH2 has been successfully achieved at a single particle level using BMP.

Aldehyde Dehydrogenase↗

A multiplexing single nucleotide polymorphism typing method based on restriction-enzyme-mediated single-base extension and capillary electrophoresis.

Millions of single nucleotide polymorphisms (SNPs) have been identified in recent years. This provides a great opportunity for large-scale association and population studies. However, many high-throughput SNP typing techniques require expensive and dedicated instruments, which render them out of reach for many laboratories. To meet the need of these laboratories, we here report a method that uses widely available DNA sequencer for SNP typing. This method uses a type II restriction enzyme to create extendable ends at target polymorphic sites and uses single-base extension (SBE) to discriminate alleles. In this design, a restriction site is engineered in one of the two polymerase chain reaction (PCR) primers so that the restriction endonuclease cuts immediately upstream of the targeted SNP site. The digestion of the PCR products generates a 5'-overhang structure at the targeted polymorphic site. This 5'-overhang structure then serves as a template for SBE reaction to generate allele-specific products using fluorescent dye-terminator nucleotides. Following the SBE, the allele-specific products with different sizes can be resolved by DNA sequencers. Through primer design, we can create a series of PCR products that vary in size and contain only one restriction enzyme recognition site. This allows us to load many PCR products in a single capillary/lane. This method, restriction-enzyme-mediated single-base extension, is demonstrated by typing multiple SNPs simultaneously for 44 DNA samples. By multiplexing PCR and pooling multiplexed reactions together, this method has the potential to score 50-100 SNPs/capillary/run if the sizes of PCR products are arranged at every 5-10 bases from 100 to 600 base range.

Alkaline Phosphatase↗

Identification of Campylobacter jejuni multilocus sequence type ST-21 clonal complex by single-nucleotide polymorphism analysis.

Conserved single-nucleotide polymorphisms (SNPs) which characterize the allelic profile of the major epidemiological lineage ST-21 were identified from the alleles within the current Campylobacter jejuni multilocus sequence typing (MLST) database. Allelic discrimination assays were designed for the detection of SNPs, enabling rapid strain profiling for clonal complex ST-21. This method is suitable for epidemiological investigations and is complementary to full MLST.

Alleles↗

Association studies of multiple candidate genes for Parkinson's disease using single nucleotide polymorphisms.

We studied 20 single nucleotide polymorphisms in 18 candidate genes for association with Parkinson's disease. We found that homozygosity for the V66M polymorphism of the brain-derived neurotrophic factor (BDNF) gene occurs more frequently in patients with Parkinson's disease than in unaffected controls (chi(2) = 5.46) and confirmed an association with the S18Y polymorphism of the UCH-L1 gene. Our results provide genetic evidence supporting a role for BDNF in the pathogenesis of Parkinson's disease.

Adult↗

Bioinformatics tools for single nucleotide polymorphism discovery and analysis.

Single nucleotide polymorphisms (SNPs) are a valuable resource for investigating the genetic basis of disease. These variants can serve as markers for fine-scale genetic mapping experiments and genome-wide association studies. Certain of these nucleotide polymorphisms may predispose individuals to illnesses such as diabetes, hypertension, or cancer, or affect disease progression. Bioinformatics techniques can play an important role in SNP discovery and analysis. We use computational methods to identify SNPs and to predict whether they are likely to be neutral or deleterious. We also use informatics to annotate genes that contain SNPs. To make this information available to the research community, we provide a variety of Internet-accessible tools for data access and display. These tools allow researchers to retrieve data about SNPs based on gene of interest, genetic or physical map location, or expression pattern.

Chromosome Mapping↗

[Advances in researches on the relationship between single nucleotide polymorphism and prostate cancer].

Single nucleotide polymorphism (SNP) has been regarded as the third generation of heredity markers with many marked characteristics. It has been developed many new experimental techniques for detecting SNP in recent years, such as TaqMan probe technique, gene chip technique, denaturing high performance liquid chromatograph, matrix assisted laser desorption ionization-time off light mass spectrometry and minisequencing technique. Great progress has been made in researches on human tumors with SNP as heredity markers. This article reviews the genes and SNP related to the development of prostate cancer, including prostate specific antigen response component, enzymes, hormones and their receptors, cell cycle regulating protein, cytokines, adhesion molecules, vitamins and so on, and aims to explore the possible mechanism of the disease.

Humans↗

Automated identification of single nucleotide polymorphisms from sequencing data.

Single nucleotide polymorphisms (SNPs) provide abundant information about genetic variation. Large scale discovery of high frequency SNPs is being undertaken using various methods. However, the publicly available SNP data are not always accurate, and therefore should be verified. If only a particular gene locus is concerned,locus-specific polymerase chain reaction amplification may be useful. Problem of this method is that the secondary peak has to be measured. We have analyzed trace data from conventional sequencing equipment and found an applicable rule to discern SNPs from noise. We have developed software that integrates this function to automatically identify SNPs. The software works accurately for high quality sequences and also can detect SNPs in low quality sequences. Further, it can determine allele frequency, display this information as a bar graph and assign corresponding nucleotide combinations. It is very useful for identifying de novo SNPs in a DNA fragment of interest.

Algorithms↗

Genome-wide allelic imbalance analysis of pediatric gliomas by single nucleotide polymorphic allele array.

Using single nucleotide polymorphic (SNP) allele arrays, we analyzed 28 pediatric gliomas consisting of 14 high-grade gliomas and 14 low-grade gliomas. Most of the low-grade gliomas had no detectable loss of heterozygosity (LOH) in any of the 11,562 SNP loci; exceptions were two gangliogliomas (3q and 9p), one astrocytoma (6q), and two subependymal giant cell astrocytomas (16p and 21q). On the other hand, all high-grade gliomas had various degrees of LOH affecting 52 to 2,168 SNP loci on various chromosomes. LOH occurred most frequently in regions located at 4q (54%), 6q (46%), 9p (38%), 10q (38%), 11p (38%), 12 (38%), 13q (69%), 14q (54%), 17 (38%), 18p (46%), and 19q (38%). We also detected amplifications of epidermal growth factor receptor (EGFR) or platelet-derived growth factor receptor alpha (PDGFRalpha) in a few of the 13 cases of glioblastoma multiforme analyzed. Interestingly, the amplified EGFR and PDGFRalpha were located within regions of LOH. SNP loci with LOH and copy number changes were validated by sequencing and quantitative PCR, respectively. Our results indicate that, in some pediatric glioblastoma multiforme, one allele each of EGFR and PDGFRalpha was lost but the remaining allele was amplified. This may represent a new molecular mechanism underlying tumor progression.

Alleles↗

Single-nucleotide polymorphisms in soybean.

Single-nucleotide polymorphisms (SNPs) provide an abundant source of DNA polymorphisms in a number of eukaryotic species. Information on the frequency, nature, and distribution of SNPs in plant genomes is limited. Thus, our objectives were (1) to determine SNP frequency in coding and noncoding soybean (Glycine max L. Merr.) DNA sequence amplified from genomic DNA using PCR primers designed to complete genes, cDNAs, and random genomic sequence; (2) to characterize haplotype variation in these sequences; and (3) to provide initial estimates of linkage disequilibrium (LD) in soybean. Approximately 28.7 kbp of coding sequence, 37.9 kbp of noncoding perigenic DNA, and 9.7 kbp of random noncoding genomic DNA were sequenced in each of 25 diverse soybean genotypes. Over the >76 kbp, mean nucleotide diversity expressed as Watterson's theta was 0.00097. Nucleotide diversity was 0.00053 and 0.00111 in coding and in noncoding perigenic DNA, respectively, lower than estimates in the autogamous model species Arabidopsis thaliana. Haplotype analysis of SNP-containing fragments revealed a deficiency of haplotypes vs. the number that would be anticipated at linkage equilibrium. In 49 fragments with three or more SNPs, five haplotypes were present in one fragment while four or less were present in the remaining 48, thereby supporting the suggestion of relatively limited genetic variation in cultivated soybean. Squared allele-frequency correlations (r(2)) among haplotypes at 54 loci with two or more SNPs indicated low genome-wide LD. The low level of LD and the limited haplotype diversity suggested that the genome of any given soybean accession is a mosaic of three or four haplotypes. To facilitate SNP discovery and the development of a transcript map, subsets of four to six diverse genotypes, whose sequence analysis would permit the discovery of at least 75% of all SNPs present in the 25 genotypes as well as 90% of the common (frequency >0.10) SNPs, were identified.

DNA Primers↗