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Typing of multiple single-nucleotide polymorphisms using ribonuclease cleavage of DNA/RNA chimeric single-base extension primers and detection by MALDI-TOF mass spectrometry.

A novel single-base extension (SBE) assay using cleavable and noncleavable SBE primers in the same reaction mix is described. The cleavable SBE primers consisted of deoxyribonucleotides and one ribonucleotide (hereafter denoted chimeric primers), whereas the noncleavable SBE primers consisted of only deoxyribonucleotides (hereafter denoted standard primers). Biotin-labeled ddNTPs were used in the SBE reaction, and the SBE products were purified using the monomeric avidin triethylamine purification protocol, ensuring that only primers extended with a biotin-ddNTP in the 3'-end were isolated. A ribonuclease mix was developed to specifically cleave the chimeric primers, irrespective of the base of the ribonucleotide, whereas standard primers without a ribonucleotide were unaffected by the ribonuclease treatment. The SBE products were analyzed in linear mode using a matrix-assisted laser desorption/ionization time-of-flight mass spectrometer. The cleaved SBE products were detected in the 2000-5500 m/z range, and the noncleaved SBE products were detected in the 5500-10 000 m/z range. The method was validated by typing 17 Y chromosome single-nucleotide polymorphisms in 100 males with a 17-plex SBE package containing 9 chimeric primers and 8 standard primers.

Base Sequence↗

Short PNA molecular beacons for real-time PCR allelic discrimination of single nucleotide polymorphisms.

The typing of a single nucleotide polymorphism with DNA probes is sometimes problematic because of the limited discriminating power of long DNA probes. As an alternative to existing assays, we have developed a real-time PCR assay for the genotyping of single nucleotide polymorphisms using short peptide nucleic acid (PNA) molecular beacons. A single nucleotide polymorphism in exon 6 of the XPD gene was chosen as the model system. The genotyping experiments were performed in the ABI 7700 using beacons labeled with either fluorescein or JOE, and in the Lightcycler using a fluorescein labeled beacon. QSY-7 was used as the quencher in all the beacons. The result of the genotyping was the same on both instruments and was in agreement with a previously performed RFLP genotyping of 79 samples. The length of PNA molecular beacons is significantly shorter than that of TaqMan or Lightcycler probes, making probe design and genotype discrimination easier.

Alleles↗

High-throughput single nucleotide polymorphism typing by fluorescent single-strand conformation polymorphism analysis with capillary electrophoresis.

In this study, we performed high-throughput and precise single nucleotide polymorphism (SNP) typing by fluorescent capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) analysis. A system composed of a multicapillary DNA analyzer, a newly developed sieving matrix, four different colors of fluorescent labels, and a multiplex polymerase chain reaction (PCR) enabled low-cost and highly reliable SNP typing. Moreover, this system enabled the estimation of SNP allele frequencies using pooled DNA samples, which should be beneficial for large-scale association studies. Thus, fluorescent CE-SSCP analysis is a useful method for large-scale SNP typing.

DNA Fingerprinting↗

Single nucleotide polymorphism detection method by temperature-gradient affinity chromatography using a single-stranded oligo-DNA coupled column.

We developed an affinity chromatographic method for simple single nucleotide polymorphism (SNP) detection by use of a single-stranded DNA-coupled column and temperature gradient elution, utilizing the difference in thermal stability between hybridized double-stranded DNAs with and without mismatched base-pairs in the course of temperature gradient elution. We studied experimentally and theoretically the elution behavior of DNAs with and without SNPs in this chromatography and proposed a numerical calculation method based on a thermodynamic dissociation model. The effects of the column volume, flow rate of eluent and heating rate of the column on elution profiles were clarified. For designing DNA ligands, mismatched base-pair positions favorable for detection of SNPs were also explored by use of hybridized DNAs coding a part of the human TP53 gene.

Base Pair Mismatch↗

Single nucleotide polymorphisms and disease gene mapping.

Single nucleotide polymorphisms are the most important and basic form of variation in the genome, and they are responsible for genetic effects that produce susceptibility to most autoimmune diseases. The rapid development of databases containing very large numbers of single nucleotide polymorphisms, and the characterization of haplotypes and patterns of linkage disequilibrium throughout the genome, provide a unique opportunity to advance association strategies in common disease rapidly over the next few years. Only the careful use of these strategies and a clear understanding of their statistical limits will allow novel genetic determinants for many of the common autoimmune diseases to be determined.

Autoimmune Diseases↗

A single nucleotide polymorphism at DBH, possibly associated with attention-deficit/hyperactivity disorder, associates with lower plasma dopamine beta-hydroxylase activity and is in linkage disequilibrium with two putative functional single nucleotide polymorphisms.

BACKGROUND: The DBH gene regulates plasma dopamine beta-hydroxylase activity (pDbetaH). Two single nucleotide polymorphisms (SNPs), -1021C-->T (rs1611115; SNP1) and +1603C-->T (rs6271; SNP3), independently influence pDbetaH. Another SNP, commonly known as DBH Taq1A (rs2519152; SNP2) is associated with attention-deficit/hyperactivity disorder (ADHD) in some (but not all) studies. We tested whether 1) SNP2 associates with pDbetaH; and 2) whether linkage disequilibrium (LD) between SNP2 and the other SNPs explains that association. METHODS: Plasma dopamine beta-hydroxylase activity and genotypes at the SNPs were determined in Caucasian subjects (n = 418). Associations to pDbetaH were examined using analyses of variance (ANOVAs) and LD among the SNPs using estimation maximization. RESULTS: 1) Each polymorphism analyzed alone associated with pDbetaH; 2) SNP2 was in strong LD with SNP1 and SNP3, respectively, but there was no significant LD between SNP1 and SNP3; and 3) analyzed jointly, each SNP contributed significantly and uniquely to plasma DbetaH activity. CONCLUSIONS: 1) SNP2 associates with pDbetaH; 2) SNP2 shows LD with SNP1 and SNP3; 3) most of the association between SNP2 and pDbetaH simply reflects that LD; however, 4) SNP2 also appears to exert a small independent effect on pDbetaH, suggesting that SNP2, or another variant in LD with it, uniquely influences pDbetaH.

Adult↗

Detection of three single nucleotide polymorphisms in the gene encoding mannose-binding lectin in a single pyrosequencing reaction.

Mannose-binding lectin (MBL) is a key molecule of innate immunity. Binding of MBL to carbohydrates present on pathogens activates the lectin pathway of complement activation, resulting into opsonization and anti-microbial protection. Three frequently occurring single nucleotide polymorphisms (SNPs) are described in the coding region of the MBL2 gene that are associated with abnormal polymerization of the MBL molecule, decreased serum concentrations of high molecular weight MBL, and strongly impaired function. Clinical studies have shown that these MBL SNPs are associated with increased susceptibility to infections, especially in immune-compromised persons, as well as with accelerated progression of chronic diseases. The present study describes a novel method to detect the three major MBL SNPs by pyrosequencing. The close proximity of these SNPs allows their detection in one single pyrosequencing reaction, resulting in clearly distinguishable patterns for each allele combination described until now. This method can be used for the easy and reliable detection of MBL SNPs to identify the basis of functional MBL deficiency in clinical diagnostics and research.

Base Sequence↗

The influence of neighboring-nucleotide composition on single nucleotide polymorphisms (SNPs) in the mouse genome and its comparison with human SNPs.

We analyzed the neighboring-nucleotide composition of 433,192 biallelic substitutions, representing the largest public collection of SNPs across the mouse genome. Large neighboring-nucleotide biases relative to the genome- or chromosome-specific average were observed at the immediate adjacent sites and small biases extended farther from the substitution site. For all substitutions, the biases for A, C, G, and T were 0.21, 2.63, 0.71, and -3.55%, respectively, on the immediate adjacent 5' site and -3.67, 0.75, 2.69, and 0.23%, respectively, on the immediate adjacent 3' side. Further examination of the six categories of substitution revealed that the neighboring-nucleotide patterns for transitions were strongly influenced by the hypermutability of dinucleotide CpG and the neighboring effects on transversions were complex. Probability of a transversion increased with increasing A + T content of the two immediate adjacent sites, which was similarly observed in the human and Arabidopsis genomes. Overall, the bias patterns for the neighboring nucleotides in the mouse and human genomes were essentially the same; however, the extent of the biases was notably less in mice. Our results provide the first comprehensive view of the neighboring-nucleotide effects in the mouse genome and are important for understanding the mutational mechanisms and sequence evolution in the mammalian genomes.

Animals↗

Rapid multiplex single nucleotide polymorphism genotyping based on single base extension reactions and color-coded beads.

A single nucleotide polymorphism (SNP) typing method using color-coded beads is promising because it is easy to use and inexpensive. However, the present protocols are not suitable for clinical and diagnostic applications because they need centrifugation for bead-washing. Here, we developed a simplified protocol without a bead-washing procedure that enables SNP typing of PCR amplified fragments in only 30 min.

Journal Article↗

Web-based primer design for single nucleotide polymorphism analysis.

The detection of single nucleotide polymorphisms by PCR is necessary for many types of genetic analysis, from mapping genomes to tracking specific mutations. This technique is most commonly used when polymorphisms alter restriction endonuclease recognition sites. Here we describe a web-based program, dCAPS Finder 2.0, that facilitates the design of mismatched PCR primers to create or remove a restriction endonuclease recognition site relative to the polymorphism being analyzed.

Arabidopsis↗

Single-nucleotide polymorphism discovery by targeted DNA photocleavage.

Single-nucleotide polymorphisms are the largest source of genetic variation in humans. We report a method for the discovery of single-nucleotide polymorphisms within genomic DNA. Pooled genomic samples are amplified, denatured, and annealed to generate mismatches at polymorphic DNA sites. Upon photoactivation, these DNA mismatches are then cleaved site-specifically by using a small molecular probe, a bulky metallointercalator, Rhchrysi or Rhphzi. Fluorescent labeling of the cleaved products and separation by capillary electrophoresis permits rapid identification with single-base resolution of the single-nucleotide polymorphism site. This method is remarkably sensitive and minor allele frequencies as low as 5% can be readily detected.

Animals↗

Automation in genotyping of single nucleotide polymorphisms.

Automation for genotyping of single nucleotide polymorphisms (SNPs) can be split into the automation of the sample preparation and the automation of the analysis technology. SNP genotyping methods are reviewed and solutions for their automation discussed. A panacea for SNP genotyping does not exist. Different scientific questions require adapted solutions. The choice of a technology for SNP genotyping depends on whether few different SNPs are to be genotyped in many individuals, or many different SNPs are to be genotyped in few individuals. The requirements of throughput and the ease of establishing an SNP genotyping operation are important, as well as the degree of integration. The potential and state-of-the-art of different solutions are outlined.

Genotype↗

Assessment of population structure by single nucleotide polymorphisms (SNPs) in goat breeds.

Single nucleotide polymorphisms (SNPs) may be used in biodiversity studies and commercial tasks like traceability, paternity testing and selection for suitable genotypes. Twenty-seven SNPs were characterized and genotyped on 250 individuals belonging to eight Italian goat breeds. Multilocus genotype data were used to infer population structure and assign individuals to populations. To estimate the number of groups (K) to test in population structure analysis we used likelihood values and variance of the bootstrap samples, deriving optimal K from a drop in the likelihood and a rise in the variance plots against K.

Animals↗

[Single nucleotide polymorphism and its application in allogeneic hematopoietic stem cell transplantation--review].

Single nucleotide polymorphism (SNP) is the third genetic marker after restriction fragment length polymorphism (RFLP) and short tandem repeat. It represents the most density genetic variability in the human genome and has been widely used in gene location, cloning, and research of heredity variation, as well as parenthood identification in forensic medicine. As steady heredity polymorphism, single nucleotide polymorphism is becoming the focus of attention in monitoring chimerism and minimal residual disease in the patients after allogeneic hematopoietic stem cell transplantation. The article reviews SNP heredity characterization, analysis techniques and its applications in allogeneic stem cell transplantation and other fields.

Hematopoietic Stem Cell Transplantation↗

The use of single-nucleotide polymorphism maps in pharmacogenomics.

Single-nucleotide polymorphisms (SNPs), common variations among the DNA of individuals, are being uncovered and assembled into large SNP databases that promise to enable the dissection of the genetic basis of disease and drug response (i.e., pharmacogenomics). Although great strides have been made in understanding the diversity of the human genome, such as the frequency, distribution, and type of genetic variation that exists, the feasibility of applying this information to uncover useful pharmacogenomic markers is uncertain. The health care industry is clamoring for access to SNP databases for use in research in the hope of revolutionizing the drug development process. As the reality of using SNPs to uncover drug response markers is rarely addressed, this review discusses practical issues, such as patient sample size, SNP density and genome coverage, and data interpretation, that will be important for determining the applicability of pharmacogenomic information to medical practice.

Databases, Factual↗

Quantification of single nucleotide polymorphisms by automated DNA sequencing.

Single nucleotide polymorphisms (SNPs) are linked to phenotypes associated with diseases and drug responses. Many techniques are now available to identify and quantify such SNPs in DNA or RNA pools, although the information on the latter is limited. The majority of these methodologies require prior knowledge of target sequences, normally obtained through DNA sequencing. Direct quantitation of SNPs from DNA sequencing raw data will save time and money for large amount sample analysis. A high throughput DNA sequencing assay, in combination with a SNP quantitative algorithm, was developed for the quantitation of a SNP present in HCV RNA sequences. For a side-by-side comparison, a Pyrosequencing assay was also developed. Quantitation performance was evaluated for both methods. The direct DNA sequencing quantitation method was shown to be more linear, accurate, sensitive, and reproducible than the Pyrosequencing method for the quantitation of the SNP present in HCV RNA molecules.

Algorithms↗

Automated identification of single nucleotide polymorphisms from sequencing data.

The single nucleotide polymorphism (SNP) is the difference of the DNA sequence between individuals and provides abundant information about genetic variation. Large scale discovery of high frequency SNPs is being undertaken using various methods. However, the publicly available SNP data sometimes need to 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. The rule is applied to multiply aligned sequences with a trace and the peak height of the traces are compared between samples. 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 also designed for a person to verify and edit sequences easily on the screen. It is very useful for identifying de novo SNPs in a DNA fragment of interest.

Algorithms↗

SNPsFinder--a web-based application for genome-wide discovery of single nucleotide polymorphisms in microbial genomes.

UNLABELLED: Single nucleotide polymorphisms (SNPs) are the most abundant form of genetic variations in closely related microbial species, strains or isolates. Some SNPs confer selective advantages for microbial pathogens during infection and many others are powerful genetic markers for distinguishing closely related strains or isolates that could not be distinguished otherwise. To facilitate SNP discovery in microbial genomes, we have developed a web-based application, SNPsFinder, for genome-wide identification of SNPs. SNPsFinder takes multiple genome sequences as input to identify SNPs within homologous regions. It can also take contig sequences and sequence quality scores from ongoing sequencing projects for SNP prediction. SNPsFinder will use genome sequence annotation if available and map the predicted SNP regions to known genes or regions to assist further evaluation of the predicted SNPs for their functional significance. SNPsFinder can generate PCR primers for all predicted SNP regions according to user's input parameters to facilitate experimental validation. The results from SNPsFinder analysis are accessible through the World Wide Web. AVAILABILITY: The SNPsFinder program is available at http://snpsfinder.lanl.gov/. SUPPLEMENTARY INFORMATION: The user's manual is available at http://snpsfinder.lanl.gov/UsersManual/

Algorithms↗