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PubMed2006

New Staphylococcus aureus genotyping method based on exotoxin (set) genes.

A variety of methods for genotyping Staphylococcus aureus isolates exists: the two most widely used methods are pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST). Here, we describe a sequence-based genotyping method based on genes encoding S. aureus superantigen-like proteins, which belong to a family of exotoxins called staphylococcal exotoxins. The sequences of PCR-amplified internal fragments of three different set genes (set2, set5, and set7) of 61 well-characterized clinical methicillin-resistant S. aureus (MRSA) and methicillin-susceptible S. aureus (MSSA) isolates and reference strains were compared. Phylogenetic analysis was performed based on single-nucleotide polymorphisms (SNP). The SNP dendrograms of the set gene sequences differentiated the 61 isolates into 22 distinct subgroups, designated exotoxin sequence types (ETST), while the standard seven-gene MLST profiles differentiated the same 61 isolates into 19 subgroups. Of the 19 different MLST subgroups, 16 corresponded to 16 distinct ETST groups. However, three MLST subgroups, ST1, ST30, and ST36, were each further separated into more than one ETST subgroup. The exotoxin-based genotyping method was able to discriminate MRSA and MSSA isolates according to their specific epidemiological characteristics. This SNP analysis of the three set genes is thus equally or more discriminatory than the seven-gene MLST method, providing a good alternative typing tool for a laboratory that has sequencing capability.

Bacterial Proteins↗
PubMed2001

A novel technique for detecting single nucleotide polymorphisms by analyzing consumed allele-specific primers.

We present a simple and rapid polymerase chain reaction (PCR)-based technique, termed consumed allele-specific primer analysis (CASPA), as a new strategy for single nucleotide polymorphism (SNP) analysis. The method involves the use of labeled allele-specific primers, differing in length, with several noncomplementary nucleotides added in the 5'-terminal region. After PCR amplification, the amounts of the remaining primers not incorporated into the PCR products are determined. Thus, nucleotide substitutions are identified by measuring the consumption of primers. In this study, the CASPA method was successfully applied to ABO genotyping. In the present method, the allele-specific primer only anneals with the target polymorphic site on the DNA, so it is not necessary to analyze the PCR products. Therefore, this method is only little affected by modification of the PCR products. The CASPA method is expected to be a useful tool for typing of SNPs.

ABO Blood-Group System↗
PubMed2001

Electrospray ionization mass spectrometry-based genotyping: an approach for identification of single nucleotide polymorphisms.

The high frequency of single nucleotide polymorphisms (SNPs) in the human genome makes them ideal genetic markers for mapping, diagnosing disease-related alleles, and identifying SNPs that contribute to drug response differences between individuals. Here we report a novel assay utilizing a single nucleotide primer extension (SNuPE) and electrospray ionization mass spectrometry (ESI-MS) detection for the analysis of SNPs. In contrast to most SNuPE genotyping technologies that detect the extended primer product, the novel Survivor assay detects the unreacted dideoxynucleotides (ddNTPs) remaining or surviving in solution following a SNuPE. This assay involves a simple analysis of the same four ddNTP analytes, regardless of the SNP being investigated, and either single or double-stranded DNA can be used to genotype a SNP, without any labeling requirements of the ddNTPs or oligonucleotide primers. We have tested and blindly validated the Survivor assay by genotyping the C/T SNP at -857 of the human TNFalpha promoter gene. The results obtained are in agreement with the control sequencing data. The results demonstrate that the homogeneous Survivor assay with ESI-MS detection offers advantages in simplicity, accuracy, specificity, and sensitivity. Additional advantages of the method include enhanced hybridization efficiencies in this solution-phase assay and the elimination of immobilized primers for the isolation of single-stranded DNA. With a one-well reaction and an automation platform being developed, the Survivor assay provides a powerful new tool for large-scale SNP analysis and screening.

Base Sequence↗
PubMed2005

Association of proopiomelanocortin gene polymorphisms with obesity in the IRAS family study.

Proopiomelanocortin (POMC) has been found to be associated with rare Mendelian forms of obesity in children, and, in linkage studies, genomic regions containing the POMC locus have been linked to leptin levels, a predictor of obesity, in white, Mexican-American, and African-American families. POMC polymorphisms have not been investigated in detail for association with obesity in the general population. Five single nucleotide polymorphisms (SNPs) (G-3460C, C17T, G3473A, C3755T, and A7069G) were genotyped on 811 Hispanic individuals in the Insulin Resistance Atherosclerosis Family Study and tested for association with multiple obesity quantitative traits. General and family-based association analyses for each individual SNP and for haplotypes were performed using the generalized estimating equation and quantitative pedigree disequilibrium test (QPDT), respectively. Modest but consistent associations were observed for SNP C3755T, with p values ranging from 0.011 to 0.045 for association with BMI, waist, visceral adipose tissue, and subcutaneous adipose tissue. G-3460C, G3473A, and A7069G were also found to be associated with additional obesity measurements (p value 0.025 to 0.04), with comparable levels of evidence observed for linkage disequilibrium between these traits and these SNPs. Results of the haplotype analyses were also consistent with the single SNP analysis, with haplotypes containing C3755T showing the greatest evidence of association (p values ranging 0.004 to 0.048). Monte Carlo simulations (gene dropping) that account for the number of comparisons and the correlation structure indicate that the multivariate significance for these obesity traits with these polymorphisms was p = 0.0091. Collectively, the POMC polymorphisms showed consistent evidence for association with obesity traits in Hispanic Americans across several analytical approaches using SNP and haplotype analysis. These results support the hypothesis that POMC contributes genetically to the development of obesity.

Adult↗
PubMedDate not supplied

[Application of the duplex-specific nuclease preference method to the analysis of point mutations in human genes].

A new modification of the single nucleotide polymorphism (SNP) analysis (DSNP, duplex-specific nuclease preference) method using the duplex-specific nuclease from the king crab was proposed. The method was used to study SNPs in the following human genes: kRAS, nRAS, hRAS, and p53, the genes of blood coagulation factor V, methyltetrahydrofolate reductase, prothrombin, and apolipoprotein E and a deletion in the BRCA1 gene. DSNP was shown to be useful for the estimation of the mutant allele content in DNA samples. A system for the simultaneous identification of several adjacent single-nucleotide polymorphisms in the kRAS gene was proposed. The approaches could be used to develop test systems for the detection of SNPs in human genes. The English version of the paper: Russian Journal of Bioorganic Chemistry, 2005, vol. 31, no. 6; see also http://www.maik.ru.

Alleles↗
PubMed2006

Intramolecular controls for the generation of clinical-quality SNP genotypes and the assessment of normal heterozygote imbalance.

We present an inventive method that generates intramolecular controls for SNP analysis, termed Mirror SNPs. Using the ovine diseases of callipyge and scrapie as examples, we describe the PCR-driven production of balanced heterozygote copies of the various SNPs implicated in these diseases. In the absence of a callipyge-positive control DNA, we generated a balanced heterozygote Mirror SNP that represents both the wild-type and mutant forms of the causal polymorphism. Simultaneous analysis of this artificial Mirror SNP and the Real (target) SNP was used to prove the absence of the mutant form of the nucleotide at the Real SNP position in tested samples. Scrapie susceptibility was assessed using a PCR-driven system which generated four separate Mirror SNPs, and these enabled the confirmation of an apparent departure from 'balanced' heterozygote appearance at Real SNPs tested. Mirror SNP technology is generic and will enable the accurate assessment of rare and medically important SNP variants, more accurate frequency determinations, and the potential assessment of SNPs in 'mixed template' samples common in forensic analyses.

Animals↗
PubMed2005

Biomedical informatics methods in pharmacogenomics.

Pharmacogenomics is the study of the genetic basis of individual variation in response to therapeutic agents. Pharmacogenomics may potentially affect on every step of health care and every drug treatment protocol. The optimal approach to pharmacogenomics in hypertension requires the integration of different disciplines, in which biomedical informatics plays an essential role. This chapter describes biomedical informatics methods used in dealing with key issues in pharmacogenomics. These key issues include the association between structure and function, the interaction between gene and drug, and the correlation between genotype and phenotype. Heterogeneous resources, including web sites, databases, and software analysis tools, are selected, organized, and integrated in practical methods to support these studies. Bioinformatics methods described in this chapter include genetic sequence searching, comparison, structural modeling, functional analysis, and systems biology studies, with emphasis on single-nucleotide polymorphism (SNP) analysis. Medical informatics methods such as disease and drug information and clinical terminology are also embraced in this chapter. This combination of both biological and medical informatics provides comprehensive methodologies to resolve complex problems in pharmacogenomics.

Computational Biology↗
PubMed2004

Cohort analysis of a single nucleotide polymorphism on DNA chips.

A method has been developed to determine SNPs on DNA chips by applying a flow-through bioscanner. As a practical application we demonstrated the fast and simple SNP analysis of 24 genotypes in an array of 96 spots with a single hybridisation and dissociation experiment. The main advantage of this methodical concept is the parallel and fast analysis without any need of enzymatic digestion. Additionally, the DNA chip format used is appropriate for parallel analysis up to 400 spots. The polymorphism in the gene of the human phenol sulfotransferase SULT1A1 was studied as a model SNP. Biotinylated PCR products containing the SNP (The SNP summary web site: ) (mutant) and those containing no mutation (wild-type) were brought onto the chips coated with NeutrAvidin using non-contact spotting. This was followed by an analysis which was carried out in a flow-through biochip scanner while constantly rinsing with buffer. After removing the non-biotinylated strand a fluorescent probe was hybridised, which is complementary to the wild-type sequence. If this probe binds to a mutant sequence, then one single base is not fully matching. Thereby, the mismatched hybrid (mutant) is less stable than the full-matched hybrid (wild-type). The final step after hybridisation on the chip involves rinsing with a buffer to start dissociation of the fluorescent probe from the immobilised DNA strand. The online measurement of the fluorescence intensity by the biochip scanner provides the possibility to follow the kinetics of the hybridisation and dissociation processes. According to the different stability of the full-match and the mismatch, either visual discrimination or kinetic analysis is possible to distinguish SNP-containing sequence from the wild-type sequence.

Arylsulfotransferase↗
PubMed2003

Genome organization of the SARS-CoV.

Annotation of the genome sequence of the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) is indispensable to understand its evolution and pathogenesis. We have performed a full annotation of the SARS-CoV genome sequences by using annotation programs publicly available or developed by ourselves. Totally, 21 open reading frames (ORFs) of genes or putative uncharacterized proteins (PUPs) were predicted. Seven PUPs had not been reported previously, and two of them were predicted to contain transmembrane regions. Eight ORFs partially overlapped with or embedded into those of known genes, revealing that the SARS-CoV genome is a small and compact one with overlapped coding regions. The most striking discovery is that an ORF locates on the minus strand. We have also annotated non-coding regions and identified the transcription regulating sequences (TRS) in the intergenic regions. The analysis of TRS supports the minus strand extending transcription mechanism of coronavirus. The SNP analysis of different isolates reveals that mutations of the sequences do not affect the prediction results of ORFs.

Amino Acid Substitution↗
PubMed2006

PRKCA and multiple sclerosis: association in two independent populations.

Multiple sclerosis (MS) is a chronic disease of the central nervous system responsible for a large portion of neurological disabilities in young adults. Similar to what occurs in numerous complex diseases, both unknown environmental factors and genetic predisposition are required to generate MS. We ascertained a set of 63 Finnish MS families, originating from a high-risk region of the country, to identify a susceptibility gene within the previously established 3.4-Mb region on 17q24. Initial single nucleotide polymorphism (SNP)-based association implicated PRKCA (protein kinase C alpha) gene, and this association was replicated in an independent set of 148 Finnish MS families (p = 0.0004; remaining significant after correction for multiple testing). Further, a dense set of 211 SNPs evenly covering the PRKCA gene and the flanking regions was selected from the dbSNP database and analyzed in two large, independent MS cohorts: in 211 Finnish and 554 Canadian MS families. A multipoint SNP analysis indicated linkage to PRKCA and its telomeric flanking region in both populations, and SNP haplotype and genotype combination analyses revealed an allelic variant of PRKCA, which covers the region between introns 3 and 8, to be over-represented in Finnish MS cases (odds ratio = 1.34, 95% confidence interval 1.07-1.68). A second allelic variant, covering the same region of the PRKCA gene, showed somewhat stronger evidence for association in the Canadian families (odds ratio = 1.64, 95% confidence interval 1.39-1.94). Initial functional relevance for disease predisposition was suggested by the expression analysis: The transcript levels of PRKCA showed correlation with the copy number of the Finnish and Canadian "risk" haplotypes in CD4-negative mononuclear cells of five Finnish multiplex families and in lymphoblast cell lines of 11 Centre d'Etude du Polymorphisme Humain (CEPH) individuals of European origin.

Adult↗
PubMed2006

Colorimetric allele analysis based on the DNA-directed cooperative formation of luminous lanthanide complexes.

We present the facile technique of colorimetric SNP analysis through DNA-templated cooperative complexation between a luminescent lanthanide ion (Ln(3+): Tb(3+) or Eu(3+)) and two ODN (oligodeoxyribonucleotide) conjugates carrying a metal chelator. Ethylenediaminetetraacetic acid (EDTA) and 1,10-phenanthrorine (phen) were covalently attached to ODNs to form the conjugate probes, capture and sensitizer probes, respectively. The sequences of the conjugates were designed so as to form a tandem duplex with a target with their auxiliary units facing each other, providing a microenvironment to accommodate Ln(3+). The capture probes for the wild-type (wt) and the mutant (mut) of thiopurine S-methyltransferase gene, were mixed with equimolar amounts of Tb(3+) and Eu(3+), respectively. Then both of the allele specific capture probe solutions and the sensitizer probe were added to three different solutions containing the targets, wt/wt (G/G), mut/mut (C/C), and wt/mut (G/C). The solutions emitted in green, red, and yellow, respectively; the colors were identified even by the naked eye.

Alleles↗
PubMed2005

The use of real-time PCR methods in DNA sequence variation analysis.

BACKGROUND: Real-time (RT) PCR methods for discovering and genotyping single nucleotide polymorphisms (SNPs) are becoming increasingly important in various fields of biological sciences. SNP genotyping is widely used to perform genetic association studies aimed at characterising the genetic factors underlying inherited traits. The detection and quantification of somatic mutations is an important tool for investigating the genetic causes of tumorigenesis. In infectious disease diagnostics there is an increasing emphasis placed on genotyping variation within the genomes of pathogenic organisms in order to distinguish between strains. METHODS: There are several platforms and methods available to the researcher wishing to undertake SNP analysis using real-time PCR methods. These use fluorescent technologies for discriminating between the alternate alleles of a polymorphism. There are several real-time PCR platforms currently on the market. Two of the key technical challenges are allele discrimination and allele quantification. CONCLUSIONS: Applications of this technology include SNP genotyping, the sensitive detection of somatic mutations and infectious disease subtyping.

Animals↗
PubMed2004

A genotoxic screen: rapid analysis of cellular dose-response to a wide range of agents that either damage DNA or alter genome maintenance pathways.

SNP analysis has come to the forefront of genomics since the mouse and human genomes have been sequenced. High throughput functional screens are necessary to evaluate these sequence databases. Described here is a genotoxic screen: a rapid method that determines the cellular dose-response to a wide range of agents that either damage DNA or alter basic cellular pathways important for maintaining genomic integrity. Importantly, a single person utilizing standard tissue culture equipment may perform these assays composed of 20 agents that attack genomic integrity or maintenance at many different levels. Thus, a small lab may perform this screen to determine the integrity of a wide range of DNA repair, chromatin metabolism, and response pathways without the limitations of investigator bias. A genotoxic screen will be useful when analyzing cells with either known genetic alterations (generated directly by the investigator or derived from individuals with known mutations) or unknown genetic alterations (cells with spontaneous mutations such as cancer-derived cells). Screening many genotoxins at one time will aid in determining the biological importance of these altered genes. Here we show the dose-response curves of mouse embryonic stem (ES) cells and HeLa cells exposed to 20 genotoxic agents. ES cells were chosen since they are amenable to genetic alteration by the investigator. HeLa cells were chosen since they were derived from cancer and are commonly used. Comparing the dose-response curves of these two cell lines show their relative sensitivity to these agents and helps define their genotoxic profile. As a part of phenomics, a large genotoxic profile database for cancer-derived cells, when integrated with other databases such as expression profiles and comparative genomic hybridization, may aid in maximizing the effectiveness of developing anti-cancer protocols.

Alkylating Agents↗
PubMed2001

Recent developments in high-throughput mutation screening.

Screening of large sample materials for the presence of known or unknown mutations is a key element in pharmacogenomics. Although automated DNA sequencing has developed rapidly during the last decade, the technology is not well suited for projects involving analysis of hundreds of thousands of mutations. Consequently, a number of methods for high-throughput mutation screening have been developed. DNA microarrays and high-density oligonucleotide chips have proven to be well suited for parallel hybridisation-based analysis of hundreds or thousands of known mutations. Methods based on detection using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) have been developed. MALDI-TOF MS detection is limited to analysis of small DNA fragments but has a large potential for high-throughput single nucleotide polymorphism (SNP) analysis, due to a very fast analysis time and possibilities for automation. Currently, the best suited methods for high-throughput screening for unknown mutations are probably methods like single strand conformation polymorphism (SSCP) analysis or conformation sensitive gel electrophoresis (CSGE), combined with capillary array electrophoresis or denaturing high-performance liquid chromatography. This is due to a relatively short analysis time, potential for automation and a high sensitivity. The recent development of capillary array electrophoresis chips suggests that the analysis time for some of these methods may be reduced by one order of magnitude in the near future.

Chromatography, High Pressure Liquid↗
PubMed2026

FTIR typing of the emerging NDM-14-producing Klebsiella pneumoniae ST147 clone.

UNLABELLED: The emergence and rapid dissemination of NDM-14-producing Klebsiella pneumoniae ST147 represents a major challenge for infection control, requiring timely and reliable outbreak detection tools. In this study, we evaluated Fourier-transform infrared (FTIR) spectroscopy as a rapid typing method for outbreak investigation and compared its performance with whole-genome sequencing (WGS). A collection of 64 carbapenemase-producing K. pneumoniae isolates, including 30 NDM-14-producing ST147 isolates associated with a regional outbreak in the Canary Islands, was analyzed using FTIR spectroscopy and WGS. FTIR-based clustering was optimized using the polysaccharide spectral region and a customized distance cutoff. Genomic relatedness was assessed using multilocus sequence typing, core-genome single-nucleotide polymorphism (SNP) analysis at multiple thresholds, and clustering agreement indices. FTIR identified a dominant spectral cluster comprising 31 isolates, capturing all outbreak-related isolates with 100% sensitivity and 97% specificity. FTIR clustering showed concordance with genomic outbreak definitions at stringent SNP thresholds (10-18 SNPs), with accuracy exceeding 98%. Pairwise distance analysis revealed low FTIR dissimilarity among closely related isolates, whereas increased dispersion occurred at intermediate genomic distances (15-30 SNPs). Agreement indices showed improved concordance as genomic stringency increased, with the Modified Adjusted Rand Index values reaching 94.75 at the 10-SNP threshold. Importantly, FTIR identified an NDM-14-producing isolate from a distinct clonal background. Overall, FTIR spectroscopy provides a rapid and reliable first-line screening tool for identifying homogeneous outbreak clusters. However, due to lineage-dependent behavior and limited resolution at intermediate genomic distances, WGS remains essential for confirmatory analysis and precise delineation of transmission events. IMPORTANCE: The rapid spread of multidrug-resistant Klebsiella pneumoniae poses a major challenge for infection control, particularly during hospital outbreaks where timely identification of transmission is essential. In this study, we evaluate Fourier-transform infrared (FTIR) spectroscopy as a rapid typing approach and compare its performance with whole-genome sequencing in the context of an outbreak caused by NDM-14-producing K. pneumoniae ST147. Our results show that FTIR can reliably identify highly related isolates within a clonal outbreak, supporting early outbreak recognition. However, its performance is influenced by the underlying genomic structure of the population and may require dataset-specific optimization. These findings highlight the potential of FTIR as a first-line screening tool while emphasizing the need for cautious interpretation and integration with genomic methods for accurate outbreak delineation.

Klebsiella pneumoniae↗
PubMed2004

Ligation detection reaction-TaqMan procedure for single nucleotide polymorphism detection on genomic DNA.

In this article, we describe a genotyping approach applicable to both individual and multiplexed single nucleotide polymorphism (SNP) analysis, based on a ligation detection reaction (LDR) performed directly on genomic DNA. During the ligation, the biallelic state of the SNP locus is converted into a bimarker state of ligated detector oligonucleotides. The state of the markers is then determined by a 5'-nuclease assay (TaqMan) with universal fluorescent probes. The LDR-TaqMan method was successfully applied for the genotyping of 30 SNP loci of Arabidopsis thaliana. The technology is cost-effective, needs no locus-specific optimization, requires minimal manipulations, and has very good potential for automation.

Alleles↗
PubMed2003

Efficient mutagenesis method for producing the templates of single nucleotide polymorphisms.

DNA templates harboring specific single nucleotide polymorphism (SNP) sites are largely needed as positive controls in practical SNP analysis and in determination of the reliability of newly developed methods in high-throughput screening assays. Here we report a one-step method to produce SNP templates by amplifying a wild-type sequence with primers having single nucleotide mismatches at or near their 3' ends. A short amplicon harboring an EcoRI site was used to evaluate the feasibility of our strategy. Perfectly matched primers and primers with a single base mismatch occurring from the first base to the sixth base of the EcoRI site were used for primer extension. By using polymerase without a proofreading function, we kept mismatched nucleotides from occurring in extended primer products, as confirmed by EcoRI digestion and sequencing analysis. The strategy of using primers with a single mismatched base and exo- polymerase was shown to be an efficient one-step method for preparing SNP templates, either for application in the development of SNP screening assays or as positive controls in practical SNP assays.

Base Sequence↗
PubMed2006

Fine mapping of a linkage region on chromosome 17p13 reveals that GABARAP and DLG4 are associated with vulnerability to nicotine dependence in European-Americans.

A two-stage association study was conducted targeting a genomic region on chromosome 17p13 that we reported likely to harbor susceptibility gene(s) for nicotine dependence (ND). Participants were 2037 subjects from 602 nuclear families of either African-American (AA) or European-American (EA) origin from our Mid-South Tobacco Family (MSTF) cohort. We first examined 10 single nucleotide polymorphisms (SNPs) in six genes within the targeted region of about 90 kb to determine which SNP/gene was associated with ND, assessed by smoking quantity (SQ), the heaviness of smoking index (HSI) and the Fagerström Test for ND (FTND). Individual SNP analysis revealed that SNPs rs17710 and rs222843 in GABA(A) receptor-associated protein (GABARAP) exhibited a significant association with at least one age- and gender-adjusted ND measure in the EA sample and rs222843 remained significant with the FTND after correction for multiple testing (P = 0.009). Although no SNP in DLG4 was significantly associated with ND, we found a G-G haplotype with a frequency of 14.2% formed by SNPs rs2242449 and rs507506 within the gene that showed significant inverse associations with all three ND measures [P = 0.003, 0.015 and 0.024, for SQ (defined as the number of cigarettes smoked per day), HSI and FTND, respectively]. We also found an A-A haplotype with a frequency of 8.8% formed by SNPs rs17710 and rs222843 in GABARAP, which revealed significant associations with all three ND measures (P = 0.006, 0.019 and 0.024, for SQ, HSI and FTND, respectively). To confirm these findings with a better coverage of GABARAP and DLG4, we conducted a second-stage association analysis by genotyping four more SNPs for GABARAP and nine more for DLG4 on the same set of samples. Our results from the second stage of individual SNP- and/or haplotype-based association analysis supported our finding of significant association of the DLG4 gene with ND. No significant association of GABARAP or DLG4 with ND was detected in the AA sample. Further, by comparing the linkage signal before and after adjustment for the SNPs of GABARAP and DLG4, we found that inclusion of the SNPs of the two genes as covariates largely reduced the linkage signal in the EA sample, but kept nearly unchanged in the AA sample. Taken together, our two-stage association analysis and linkage analysis results indicate that the GABARAP and DLG4 genes are involved in the etiology of ND in EA smokers. Further investigation of neurobiological mechanisms of the two genes in the etiology of ND is thus warranted.

Adaptor Proteins, Signal Transducing↗