SNP genotyping: technologies and biomedical applications

Emerging oseltamivir resistance in seasonal and pandemic influenza A/H1N1

The emergence of oseltamivir resistance in seasonal and pandemic influenza A/H1N1 has created challenges for diagnosis and clinical management. This review discusses how clinical virology laboratories have handled diagnosis of oseltamivir-resistant H1N1 and what we have learned from clinical studies and case series. Immunocompetent patients infected with oseltamivir-resistant H1N1 have similar outcomes as patients infected with oseltamivir-susceptible H1N1. However, immunocompromised patients infected with oseltamivir-resistant H1N1 experience potentially more risks of complication and transmissibility with few therapeutic options.

Novel association analysis between 9 short tandem repeat loci polymorphisms and coronary heart disease based on a cross-validation design

OBJECTIVE

To investigate genes associated with coronary heart disease (CHD) screened with a novel cross-validation design.

METHODS

On the basis of age at the onset of the first episode of CHD, stratified sampling by age (<50 years, 50-59 years, 60-69 years, 70-79 years and >80 years) was performed. Alleles of the nine CODIS STR loci including D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317, and D7S820, were determined using the STR Profiler Plus PCR amplification kit. Allele frequencies were compared with a control population. The mean age of patients with and without the alleles was compared. Cross-validation was based on differences in both frequency values and ages instead of adjustment procedure for multiple testing.

RESULTS

There were statistical differences in frequency values between the CHD group and the control population for three alleles, and also statistical differences in the age at first onset of CHD for two alleles; at least one allele, D21S11-28.2, was statistically different with regards to both frequency values and age. It was confirmed that D21S11-28.2 is truly related with CHD.

CONCLUSIONS

A single true CHD-related allele could be discriminated from the sampling errors through cross-validation. It appears that CHD-related genes may be located near to loci D21S11.

Evaluation of approaches for identifying population informative markers from high density SNP chips

BACKGROUND

Genetic markers can be used to identify and verify the origin of individuals. Motivation for the inference of ancestry ranges from conservation genetics to forensic analysis. High density assays featuring Single Nucleotide Polymorphism (SNP) markers can be exploited to create a reduced panel containing the most informative markers for these purposes. The objectives of this study were to evaluate methods of marker selection and determine the minimum number of markers from the BovineSNP50 BeadChip required to verify the origin of individuals in European cattle breeds. Delta, Wright's FST, Weir & Cockerham's FST and PCA methods for population differentiation were compared. The level of informativeness of each SNP was estimated from the breed specific allele frequencies. Individual assignment analysis was performed using the ranked informative markers. Stringency levels were applied by log-likelihood ratio to assess the confidence of the assignment test.

RESULTS

A 95% assignment success rate for the 384 individually genotyped animals was achieved with <80, <100, <140 and <200 SNP markers (with increasing stringency threshold levels) across all the examined methods for marker selection. No further gain in power of assignment was achieved by sampling in excess of 200 SNP markers. The marker selection method that required the lowest number of SNP markers to verify the animal's breed origin was Wright's FST (60 to 140 SNPs depending on the chosen degree of confidence). Certain breeds required fewer markers (<100) to achieve 100% assignment success. In contrast, closely related breeds require more markers (~200) to achieve>95% assignment success. The power of assignment success, and therefore the number of SNP markers required, is dependent on the levels of genetic heterogeneity and pool of samples considered.

CONCLUSIONS

While all SNP selection methods produced marker panels capable of breed identification, the power of assignment varied markedly among analysis methods. Thus, with effective exploration of available high density genetic markers, a diagnostic panel of highly informative markers can be produced.

Development and validation of a cost-effective in-house method, tetra-primer ARMS PCR assay, in genotyping of seven clinically important point mutations

The single nucleotide polymorphism (SNP) genotyping is currently considered as a particularly valuable tool for the diagnosis of different pathologies. For this reason, over the past several years a great deal of effort has been devoted to developing accurate, rapid, and cost-effective technologies for SNP analysis. Although a large number of distinct approaches has been reported each laboratory use one of the published methods based on their technical and economical capacity. This article presents an application of an in-house assay, tetra-primer ARMS PCR assay, and its application in SNP genotyping. We have shown that this assay could be more advantageous when compared with PCR-RFLP, real time PCR, and DNA sequencing. We have shown that the assay is successful in genotyping using archived paraffin-embedded tissues, heparinated samples and amniotic fluids with meconium. These low-costed (3$/reaction) assays could be completed within 3-4 h after specimen receipt allowing for a reasonable turn-around time in the laboratory. Since tetra-primer ARMS PCR assay does not require any special equipment, the assay could be set up in most clinical diagnostic laboratories.

Advances in the molecular detection of ABC transporters involved in multidrug resistance in cancer

ATP-Binding Cassette (ABC) transporters are important mediators of multidrug resistance (MDR) in patients with cancer. Although their role in MDR has been extensively studied in vitro, their value in predicting response to chemotherapy has yet to be fully determined. Establishing a molecular diagnostic assay dedicated to the quantitation of ABC transporter genes is therefore critical to investigate their involvement in clinical MDR. In this article, we provide an overview of the methodologies that have been applied to analyze the mRNA expression levels of ABC transporters, by describing the technology, its pros and cons, and the experimental protocols that have been followed. We also discuss recent studies performed in our laboratory that assess the ability of the currently available high-throughput gene expression profiling platforms to discriminate between highly homologous genes. This work led to the conclusion that high-throughput TaqMan-based qRT-PCR platforms provide standardized clinical assays for the molecular detection of ABC transporters and other families of highly homologous MDR-linked genes encoding, for example, the uptake transporters (solute carriers-SLCs) and the phase I and II metabolism enzymes.

Clinical relevance of multiple single-nucleotide polymorphisms in Pneumocystis jirovecii Pneumonia: development of a multiplex PCR-single-base-extension methodology

Pneumocystis jirovecii pneumonia (PcP) is a major cause of respiratory illness in patients with AIDS. The identification of multiple single-nucleotide polymorphisms (SNPs) at three distinct P. jirovecii loci encoding dihydrofolate reductase (DHFR), mitochondrial large-subunit rRNA (mtLSU rRNA), and superoxide dismutase (SOD) was achieved using multiplex-PCR (MPCR) followed by direct sequencing and two single-base extension (SBE) techniques. Four SNPs (DHFR312, mt85, SOD215, and SOD110), correlated previously with parameters of disease, were amplified and genotyped simultaneously. The concordance of results between the standard sequencing technique (direct sequencing) and SBE analysis was 96.9% for the acrylamide gel electrophoresis and 98.4% for the capillary electrophoresis. The cross-genetic analysis established several statistical associations among the SNPs studied: mt85C-SOD110T, SOD110T-SOD215C, and SOD110C-SOD215T. These results were confirmed by cluster analysis. Data showed that among the isolates with low to moderate parasite burden, the highest percentages of DHFR312C, mt85C, SOD110T, and SOD215C were detected, whereas for high parasite burden cases the highest frequencies were observed among isolates with DHFR312T, mt85T, SOD110C, and SOD215T. The polymorphisms studied were shown to be suitable genetic targets potentially correlated with PcP clinical data that can be used as predictors of outcome in further studies to help clinical decision-making in the management of PcP. The MPCR/SBE protocol described for the first time in the present study was shown to be a rapid, highly accurate method for genotyping P. jirovecii SNPs encoded by different loci that could be used for epidemiological studies and as an additional procedure for the prognostic classification and diagnosis of PcP.

DNA-functionalized nanochannels for SNP detection

We have developed ultrahigh density array of functionalized nanochannels by using a block copolymer having end di-COOH group. This approach provides a facile route for direct functionalization of wall surface of the nanochannels and immobilization site for molecular recognition agents (MRAs). By using overhanging single-stranded DNA as MRAs, the DNA-functionalized nanochannels showed high resolution to detect a single-base mismatch as well as to discriminate single-mismatched sequence at various locations by hybridization preference with MRAs.

Genotyping by alkaline dehybridization using graphically encoded particles

This work describes a nonenzymatic, isothermal genotyping method based on the kinetic differences exhibited in the dehybridization of perfectly matched (PM) and single-base mismatched (MM) DNA duplexes in an alkaline solution. Multifunctional encoded hydrogel particles incorporating allele-specific oligonucleotide (ASO) probes in two distinct regions were fabricated by using microfluidic-based stop-flow lithography. Each particle contained two distinct ASO probe sequences differing at a single base position, and thus each particle was capable of simultaneously probing two distinct target alleles. Fluorescently labeled target alleles were annealed to both probe regions of a particle, and the rate of duplex dehybridization was monitored by using fluorescence microscopy. Duplex dehybridization was achieved through an alkaline stimulus using either a pH step function or a temporal pH gradient. When a single target probe sequence was used, the rate of mismatch duplex dehybridization could be discriminated from the rate of perfect match duplex dehybridization. In a more demanding application in which two distinct probe sequences were used, we found that the rate profiles provided a means to discriminate probe dehybridizations from both of the two mismatched duplexes as well as to distinguish at high certainty the dehybridization of the two perfectly matched duplexes. These results demonstrate an ability of alkaline dehybridization to correctly discriminate the rank hierarchy of thermodynamic stability among four sets of perfect match and single-base mismatch duplexes. We further demonstrate that these rate profiles are strongly temperature dependent and illustrate how the sensitivity can be compensated beneficially by the use of an actuating gradient pH field.

Fluorescent detection of single nucleotide polymorphism utilizing a hairpin DNA containing a nucleotide base analog pyrrolo-deoxycytidine as a fluorescent probe

A novel fluorescent method for the detection of single nucleotide polymorphism (SNP) was developed using a hairpin DNA containing nucleotide base analog pyrrolo-deoxycytidine (P-dC) as a fluorescent probe. This fluorescent probe was designed by incorporating a fluorescent P-dC into a stem of the hairpin DNA, whose sequence of the loop moiety complemented the target single strand DNA (ss-DNA). In the absence of the target ss-DNA, the fluorescent probe stays a closed configuration in which the P-dC is located in the double strand stem of the fluorescent probe, such that there is weak fluorescence, attributed to a more efficient stacking and collisional quenching of neighboring bases. In the presence of target ss-DNA, upon hybridizing the ss-DNA to the loop moiety, a stem-loop of the fluorescent probe is opened and the P-dC is located in the ss-DNA, thus resulting in strong fluorescence. The effective discrimination of the SNP, including single base mismatch ss-DNA (A, T, G) and double mismatch DNA (C, C), against perfect complementary ss-DNA was achieved by increased fluorescence intensity, and verified by thermal denaturation and circular dichroism spectroscopy. Relative fluorescence intensity had a linear relationship with the concentration of perfect complementary ss-DNA and ranged from 50 nM to 3.0 μM. The linear regression equation was F/F(0)=2.73 C (μM)+1.14 (R=0.9961) and the detection limit of perfect complementary ss-DNA was 16 nM (S/N=3). This study demonstrates that a hairpin DNA containing nucleotide base analog P-dC is a promising fluorescent probe for the effective discrimination of SNP and for highly sensitive detection of perfect complementary DNA.

C5-functionalized DNA, LNA, and α-L-LNA: positional control of polarity-sensitive fluorophores leads to improved SNP-typing

Single nucleotide polymorphisms (SNPs) are important markers in disease genetics and pharmacogenomic studies. Oligodeoxyribonucleotides (ONs) modified with 5-[3-(1-pyrenecarboxamido)propynyl]-2'-deoxyuridine monomer X enable detection of SNPs at non-stringent conditions due to differential fluorescence emission of matched versus mismatched nucleic acid duplexes. Herein, the thermal denaturation and optical spectroscopic characteristics of monomer X are compared to the corresponding locked nucleic acid (LNA) and α-L-LNA monomers Y and Z. ONs modified with monomers Y or Z result in a) larger increases in fluorescence intensity upon hybridization to complementary DNA, b) formation of more brightly fluorescent duplexes due to markedly larger fluorescence emission quantum yields (Φ(F)=0.44-0.80) and pyrene extinction coefficients, and c) improved optical discrimination of SNPs in DNA targets. Optical spectroscopy studies suggest that the nucleobase moieties of monomers X-Z adopt anti and syn conformations upon hybridization with matched and mismatched targets, respectively. The polarity-sensitive 1-pyrenecarboxamido fluorophore is, thereby, either positioned in the polar major groove or in the hydrophobic duplex core close to quenching nucleobases. Calculations suggest that the bicyclic skeletons of LNA and α-L-LNA monomers Y and Z influence the glycosidic torsional angle profile leading to altered positional control and photophysical properties of the C5-fluorophore.

High concordance of bovine single nucleotide polymorphism genotypes generated using two independent genotyping strategies

Single nucleotide polymorphisms (SNPs) represent the most common form of DNA sequence variation in mammalian livestock genomes. While the past decade has witnessed major advances in SNP genotyping technologies, genotyping errors caused, in part, by the biochemistry underlying the genotyping platform used, can occur. These errors can distort project results and conclusions and can result in incorrect decisions in animal management and breeding programs; hence, SNP genotype calls must be accurate and reliable. In this study, 263 Bos spp. samples were genotyped commercially for a total of 16 SNPs. Of the total possible 4,208 SNP genotypes, 4,179 SNP genotypes were generated, yielding a genotype call rate of 99.31% (standard deviation ± 0.93%). Between 110 and 263 samples were subsequently re-genotyped by us for all 16 markers using a custom-designed SNP genotyping platform, and of the possible 3,819 genotypes a total of 3,768 genotypes were generated (98.70% genotype call rate, SD ± 1.89%). A total of 3,744 duplicate genotypes were generated for both genotyping platforms, and comparison of the genotype calls for both methods revealed 3,741 concordant SNP genotype call rates (99.92% SNP genotype concordance rate). These data indicate that both genotyping methods used can provide livestock geneticists with reliable, reproducible SNP genotypic data for in-depth statistical analysis.

Using self-assembled aptamers and fibrinogen-conjugated gold nanoparticles to detect DNA based on controlled thrombin activity

We have developed a colorimetric probe, based on the aggregation of gold nanoparticles (Au NPs), for the detection of DNA and for the analysis of single-nucleotide polymorphism (SNP); this probe functions through the modulation of the activity of thrombin (Thr) in the presence of bivalent thrombin-binding aptamers (TBAs). The bivalent TBAs were formed from TBA(27') (comprising a 27-base sequence providing TBA(27) functionality, a T(5) linker, and an 11-base sequence for hybridization) and TBA(15') (comprising a 15-base sequence providing TBA(15) functionality, a T(5) linker, and a 12-base sequence for hybridization) through their hybridization with perfectly matched DNA (DNA(pm)). The bivalent TBAs interacted specifically with thrombin, suppressing its activity toward fibrinogen-modified Au NPs (Fib-Au NPs). The potency of the inhibitory effect of TBA(15')-TBA(27')/DNA(pm) toward thrombin - and, thus, the degree of aggregation of the Fib-Au NPs - was highly dependent on the concentration of DNA(pm). Under the optimal conditions (50 pM thrombin, 2 nM TBA(15'), 2 nM TBA(27'), and 38 pM Fib-Au NPs), the linear relationship of the response of the probe toward DNA(pm) extended from 0.1 to 2 nM, with a correlation coefficient of 0.97. The limit of detection (LOD) for DNA(pm) was 20 pM, based on a signal-to-noise ratio of 3. We also applied a corresponding TBA(15″)-TBA(27″)/Thr/Fib-Au NP probe to the detection of the SNP of the Arg249Ser unit in the TP53 gene, with an LOD of 32 pM. Relative to conventional molecular beacon-based and crosslinking aggregation-based Au NP probes, our new approach offers higher sensitivity and higher selectivity toward DNA.

Visual detection of single-nucleotide polymorphism with hairpin oligonucleotide-functionalized gold nanoparticles

We report a simple, fast, and sensitive approach for visual detection of single-nucleotide polymorphism (SNP) based on hairpin oligonucleotide-functionalized gold nanoparticle (HO-Au-NP) and lateral flow strip biosensor (LFSB). The results presented here expand on prior work ( Mao , X. , Xu , H. , Zeng , Q. , Zeng , L. , and Liu , G. Chem. Commun. 2009 , 3065-3067 .) by providing new approach to prepare HO-Au-NP conjugates with a deoxyadenosine triphosphate (dATP) blocker, which shortens the preparation time of the conjugates from 50 to 8 h and lowers the detection limit 500 times. A hairpin oligonucleotide modified with a thiol at the 5'-end and a biotin at the 3'-end was conjugated with Au-NP through a self-assembling process. Following a blocking step with dATP, the hairpin structure of HO and dATP embed the biotin groups, and make the biotin groups in close proximity to the Au-NP surface, leading to the biotins being "inactive". The strategy of detecting SNP depends on the unique molecular recognition properties of HO to the perfect-matched DNA and single-base-mismatched DNA to generate different quantities of "active" biotin groups on the Au-NP surface. After hybridization reactions, the Au-NPs associated with the activated biotins are captured on the test zone of LFSB via the specific reaction between the activated biotin and preimmobilized streptavidin. Accumulation of Au-NPs produces the characteristic red bands, enabling visual detection of SNP. The preparations of HO-Au-NP conjugates with dATP and the parameters of assay were optimized systematically, and the abilities of detecting SNP were examined in details. The current approach is capable of discriminating as low as 10 pM of perfect-matched DNA and single-base-mismatched DNA within 25 min without instrumentation. Moreover, the approach provides a lower background and higher selectivity compared to the current molecular beacon-based SNP detection. The protocol should facilitate the simple, fast, and cost-effective screening of important SNPs and could readily find wide applications in molecular diagnosis laboratories and in point-of-care testing (field testing).

Use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for multiplex genotyping

After completion of the human genome project, the focus of geneticists has shifted to elucidation of gene function and genetic diversity to understand the mechanisms of complex diseases or variation of patient response in drug treatment. In the past decade, many different genotyping techniques have been described for the detection of single-nucleotide polymorphisms (SNPs) and other common polymorphic variants. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is among the most powerful and widely used genotyping technologies. The method offers great flexibility in assay design and enables highly accurate genotyping at high sample throughput. Different strategies for allele discrimination and quantification have been combined with MALDI (hybridization, ligation, cleavage, and primer extension). Approaches based on primer extension have become the most popular applications. This combination enables rapid and reliable multiplexing of SNPs and other common variants, and makes MALDI-TOF-MS well suited for large-scale studies in fine-mapping and verification of genome-wide scans. In contrast to standard genotyping, more demanding approaches have enabled genotyping of DNA pools, molecular haplotyping or the detection of free circulating DNA for prenatal or cancer diagnostics. In addition, MALDI can also be used in novel applications as DNA methylation analysis, expression profiling, and resequencing. This review gives an introduction to multiplex genotyping by MALDI-MS and will focus on the latest developments of this technology.

Type 2 diabetes genetic association database manually curated for the study design and odds ratio

Background

The prevalence of type 2 diabetes has reached epidemic proportions worldwide, and the incidence of life-threatening complications of diabetes through continued exposure of tissues to high glucose levels is increasing. Advances in genotyping technology have increased the scale and accuracy of the genotype data so that an association genetic study has expanded enormously. Consequently, it is difficult to search the published association data efficiently, and several databases on the association results have been constructed, but these databases have their limitations to researchers: some providing only genome-wide association data, some not focused on the association but more on the integrative data, and some are not user-friendly. In this study, a user-friend database of type 2 diabetes genetic association of manually curated information was constructed.

Description

The list of publications used in this study was collected from the HuGE Navigator, which is an online database of published genome epidemiology literature. Because type 2 diabetes genetic association database (T2DGADB) aims to provide specialized information on the genetic risk factors involved in the development of type 2 diabetes, 701 of the 1,771 publications in the type 2 Diabetes case-control study for the development of the disease were extracted.

Conclusions

In the database, the association results were grouped as either positive or negative. The gene and SNP names were replaced with gene symbols and rsSNP numbers, the association p-values were determined manually, and the results are displayed by graphs and tables. In addition, the study design in publications, such as the population type and size are described. This database can be used for research purposes, such as an association and functional study of type 2 diabetes related genes, and as a primary genetic resource to construct a diabetes risk test in the preparation of personalized medicine in the future.

Novel insights into the use of Glowing LNA as nucleic acid detection probes--influence of labeling density and nucleobases

Appropriately designed 2'-N-(pyren-1-yl)carbonyl-2'-amino-LNA (locked nucleic acid) display large increases in fluorescence intensity and remarkably high quantum yields upon hybridization with nucleic acid targets. Thermal denaturation and fluorescence spectroscopy studies on ONs modified with known thymine monomer X and novel 5-methylcytosine monomer Y provide new insights into the design principles and mechanism of these Glowing LNA nucleic acid detection probes.

ALCHEMY: a reliable method for automated SNP genotype calling for small batch sizes and highly homozygous populations

Motivation: The development of new high-throughput genotyping products requires a significant investment in testing and training samples to evaluate and optimize the product before it can be used reliably on new samples. One reason for this is current methods for automated calling of genotypes are based on clustering approaches which require a large number of samples to be analyzed simultaneously, or an extensive training dataset to seed clusters. In systems where inbred samples are of primary interest, current clustering approaches perform poorly due to the inability to clearly identify a heterozygote cluster.

Results: As part of the development of two custom single nucleotide polymorphism genotyping products for Oryza sativa (domestic rice), we have developed a new genotype calling algorithm called ‘ALCHEMY’ based on statistical modeling of the raw intensity data rather than modelless clustering. A novel feature of the model is the ability to estimate and incorporate inbreeding information on a per sample basis allowing accurate genotyping of both inbred and heterozygous samples even when analyzed simultaneously. Since clustering is not used explicitly, ALCHEMY performs well on small sample sizes with accuracy exceeding 99% with as few as 18 samples.

Availability: ALCHEMY is available for both commercial and academic use free of charge and distributed under the GNU General Public License at http://alchemy.sourceforge.net/

Contact:mhw6@cornell.edu

Supplementary information:Supplementary data are available at Bioinformatics online.

ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci

BACKGROUND

Growing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritability in highly studied complex traits has been explained by genetic variation. Non-additive gene-gene interactions, which are not often explored, are thought to be one source of this "missing" heritability.

METHODS

Stochastic methods employing evolutionary algorithms have demonstrated promise in being able to detect and model gene-gene and gene-environment interactions that influence human traits. Here we demonstrate modifications to a neural network algorithm in ATHENA (the Analysis Tool for Heritable and Environmental Network Associations) resulting in clear performance improvements for discovering gene-gene interactions that influence human traits. We employed an alternative tree-based crossover, backpropagation for locally fitting neural network weights, and incorporation of domain knowledge obtainable from publicly accessible biological databases for initializing the search for gene-gene interactions. We tested these modifications in silico using simulated datasets.

RESULTS

We show that the alternative tree-based crossover modification resulted in a modest increase in the sensitivity of the ATHENA algorithm for discovering gene-gene interactions. The performance increase was highly statistically significant when backpropagation was used to locally fit NN weights. We also demonstrate that using domain knowledge to initialize the search for gene-gene interactions results in a large performance increase, especially when the search space is larger than the search coverage.

CONCLUSIONS

We show that a hybrid optimization procedure, alternative crossover strategies, and incorporation of domain knowledge from publicly available biological databases can result in marked increases in sensitivity and performance of the ATHENA algorithm for detecting and modelling gene-gene interactions that influence a complex human trait.

Pharmacogenetics in breast cancer: steps toward personalized medicine in breast cancer management

There is wide individual variability in the pharmacokinetics, pharmacodynamics, and tolerance to anticancer drugs within the same ethnic group and even greater variability among different ethnicities. Pharmacogenomics (PG) has the potential to provide personalized therapy based on individual genetic variability in an effort to maximize efficacy and reduce adverse effects. The benefits of PG include improved therapeutic index, improved dose regimen, and selection of optimal types of drug for an individual or set of individuals. Advanced or metastatic breast cancer is typically treated with single or multiple combinations of chemotherapy regimens including anthracyclines, taxanes, antimetabolites, alkylating agents, platinum drugs, vinca alkaloids, and others. In this review, the PG of breast cancer therapeutics, including tamoxifen, which is the most widely used therapeutic for the treatment of hormone-dependent breast cancer, is reviewed. The pharmacological activity of tamoxifen depends on its conversion by cytochrome P450 2D6 (CYP2D6) to its abundant active metabolite, endoxifen. Patients with reduced CYP2D6 activity, as a result of either their genotype or induction by the coadministration of other drugs that inhibit CYP2D6 function, produce little endoxifen and hence derive limited therapeutic benefit from tamoxifen; the same can be said about the different classes of therapeutics in breast cancer. PG studies of breast cancer therapeutics should provide patients with breast cancer with optimal and personalized therapy.

Current research status, databases and application of single nucleotide polymorphism

Single Nucleotide Polymorphisms (SNPs) are the most frequent form of DNA variation in the genome. SNPs are genetic markers which are bi-allelic in nature and grow at a very fast rate. Current genomic databases contain information on several million SNPs. More than 6 million SNPs have been identified and the information is publicly available through the efforts of the SNP Consortium and others data bases. The NCBI plays a major role in facillating the identification and cataloging of SNPs through creation and maintenance of the public SNP database (dbSNP) by the biomedical community worldwide and stimulate many areas of biological research including the identification of the genetic components of disease. In this review article, we are compiling the existing SNP databases, research status and their application.

Molecular diagnostics for personal medicine using a nanopore

Semiconductor nanotechnology has created the ultimate analytical tool: a nanopore with single molecule sensitivity. This tool offers the intriguing possibility of high-throughput, low cost sequencing of DNA with the absolute minimum of material and preprocessing. The exquisite single molecule sensitivity obviates the need for costly and error-prone procedures like polymerase chain reaction amplification. Instead, nanopore sequencing relies on the electric signal that develops when a DNA molecule translocates through a pore in a membrane. If each base pair has a characteristic electrical signature, then ostensibly a pore could be used to analyze the sequence by reporting all of the signatures in a single read without resorting to multiple DNA copies. The potential for a long read length combined with high translocation velocity should make resequencing inexpensive and allow for haplotyping and methylation profiling in a chromosome.

Population turnover in a Microcystis bloom results in predominantly nontoxigenic variants late in the season

Surface samples of the 2007 Microcystis bloom occurring in Copco Reservoir on the Klamath River in Northern California were analyzed genetically by sequencing clone libraries made with amplicons at three loci: the internal transcribed spacer of the rRNA operon (ITS), cpcBA, and mcyA. Samples were taken between June and October, during which time two cell count peaks occurred, in mid-July and early September. The ITS and cpcBA loci could be classified into four or five allele groups, which provided a convenient means for describing the Microcystis population and its changes over time. Each group was numerically dominated by a single, highly represented sequence. Other members of each group varied by changes at 1 to 3 nucleotide positions, while groups were separated by up to 30 nucleotide differences. As deduced by a partial sampling of the clone libraries, there were marked population turnovers during the season, indicated by changes in allele composition at both the ITS and cpcBA loci. Different ITS and cpcBA genotypes appeared to be dominant at the two population peaks. Toxicity (amount of microcystin per cell) and toxigenic potential (mcyB copy number) were lower during the second peak, and the mcyB copy number fell further as the bloom declined.

Pyrene-functionalized triazole-linked 2'-deoxyuridines-probes for discrimination of single nucleotide polymorphisms (SNPs)

Oligonucleotides modified with pyrene-functionalized triazole-linked 2'-deoxyuridines display remarkable hybridization-induced increases in fluorescence emission and enable efficient fluorescent discrimination of SNPs via G-specific quenching.

Rapid multiplexed genotyping for hereditary thrombophilia by SELDI-TOF mass spectrometry

Approximately 50% of patients with venous thromboembolism also present with hereditary predisposition. The most common genetic factors are single nucleotide polymorphisms (SNPs) of factor V Leiden, prothrombin G20210A, and methylenetetrahydrofolate reductase C677T. Genotyping these SNPs helps clinicians to correctly diagnose the disease and properly manage patients. In this study, we report a novel method using surface-enhanced laser desorption and ionization time of flight mass spectrometry to rapidly genotype, in a multiplex fashion, 3 SNPs that predispose patients to thrombosis. First, patient DNA samples were subjected to polymerase chain reaction to amplify and extend the DNA products with masses corresponding to specific genotypes. Polymerase chain reaction products were then applied to Q10 anionic protein chips, undergoing on-chip sample enrichment and clean-up. Finally, the genotypes of the SNPs were determined by surface-enhanced laser desorption and ionization time of flight mass spectrometry. This method offers a rapid turnaround time of less than 5 hours from sample collection to result reporting. The analytical accuracy of each SNP genotyping result has been confirmed by DNA sequencing. In addition, the genotype results produced by this method were validated by comparing them with results obtained by the approved method in the clinical reference laboratory. This novel method is fast, accurate, and reproducible, and thus provides an excellent platform to promote personalized medicine in the management of clotting disorders.

Cationic conjugated polymers for optical detection of DNA methylation, lesions, and single nucleotide polymorphisms

Simple, rapid, and sensitive technologies to detect nucleic acid modifications have important applications in genetic analysis, clinical diagnosis, and molecular biology. Because genetic modifications such as single nucleotide polymorphisms (SNP), DNA methylation, and other lesions can serve as hallmarks of human disease, interest in such methods has increased in recent years. This Account describes a new strategy for the optical detection of these DNA targets using cationic conjugated polymers (CCPs). Because of their unique signal amplification properties, researchers have extensively investigated conjugated polymers as optical transducers in highly sensitive biosensors. Recently, we have shown that cationic polyfluorene can detect SNPs within the DNA of clinical samples. When we incorporated deoxyguanosine triphosphate (dGTP-Fl) into the DNA chain at an SNP site where the target/probe pair is complementary, we observed higher fluorescence resonance energy transfer (FRET) efficiency between cationic polyfluorene and fluorescein label on the dGTP. By monitoring the change in emission intensity of cationic polyfluorene or fluorescein, we identified the homozygous or heterozygous SNP. The high sensitivity of this assay results from the 10-fold enhancement of fluorescein emission intensity by the FRET from polyfluorene. This method can detect allele frequencies (the proportion of all copies of a gene that is made up of a particular gene variant) as low as 2%. Using this novel method, we clearly discriminated among the SNP genotypes of 76 individuals of Chinese ancestry. Improving on this initial system, we designed a method for multicolor and one-tube SNP genotyping assays based on cationic polyfluorene using fluorescein-labeled deoxyuridine triphosphate (dUTP-Fl) and Cy3-labeled deoxycytidine triphosphate (dCTP-Cy3) in extension reactions. We also developed a one-step method for direct detection of SNP genotypes from genomic DNA by combining allele-specific PCR with CCPs. In 2008, we developed a new method for DNA methylation detection based on single base extension reaction and CCPs. Treatment of DNA with bisulfite followed by PCR amplification converts unmethylated DNA into a C/T polymorphism, which allows us to characterize the methylation status of the target DNA. Furthermore, we used CCPs to detect DNA lesions caused by ultraviolet light irradiation for the first time. By monitoring the color change of cationic polythiophene before and after DNA cleavage, we also detected oxidative damage to DNA by hydroxyl radical. These CCP-based new assays avoid primer labeling, cumbersome workups, and sophisticated instruments, leading to simpler procedures and improved sensitivity. We expect that these features could lead to major advances in human disease diagnostics and genomic study in the near future.

Insertion site-based polymorphism markers open new perspectives for genome saturation and marker-assisted selection in wheat

In wheat, the deployment of marker-assisted selection has long been hampered by the lack of markers compatible with high-throughput cost-effective genotyping techniques. Recently, insertion site-based polymorphism (ISBP) markers have appeared as very powerful new tools for genomics and genetic studies in hexaploid wheat. To demonstrate their possible use in wheat breeding programmes, we assessed their potential to meet the five main requirements for utilization in MAS: flexible and high-throughput detection methods, low quantity and quality of DNA required, low cost per assay, tight link to target loci and high level of polymorphism in breeding material. Toward this aim, we developed a programme, IsbpFinder, for the automated design of ISBP markers and adapted three detection methods (melting curve analysis, SNaPshot Multiplex System and Illumina BeadArray technology) for high throughput and flexible detection of ISBP or ISBP-derived SNP markers. We demonstrate that the high level of polymorphism of the ISBPs combined with cost-effective genotyping methods can be used to efficiently saturate genetic maps, discriminate between elite cultivars, and design tightly linked diagnostic markers for virtually all target loci in the wheat genome. All together, our results suggest that ISBP markers have the potential to lead to a breakthrough in wheat marker-assisted selection.

Compilation of a panel of informative single nucleotide polymorphisms for bovine identification in the Northern Irish cattle population

BACKGROUND

Animal identification is pivotal in governmental agricultural policy, enabling the management of subsidy payments, movement of livestock, test scheduling and control of disease. Advances in bovine genomics have made it possible to utilise inherent genetic variability to uniquely identify individual animals by DNA profiling, much as has been achieved with humans over the past 20 years. A DNA profiling test based on bi-allelic single nucleotide polymorphism (SNP) markers would offer considerable advantages over current short tandem repeat (STR) based industry standard tests, in that it would be easier to analyse and interpret. In this study, a panel of 51 genome-wide SNPs were genotyped across panels of semen DNA from 6 common breeds for the purposes of ascertaining allelic frequency. For SNPs on the same chromosome, the extent of linkage disequilbrium was determined from genotype data by Expectation Maximization (EM) algorithm. Minimum probabilities of unique identification were determined for each breed panel. The usefulness of this SNP panel was ascertained by comparison to the current bovine STR Stockmarks II assay. A statistically representative random sampling of bovine animals from across Northern Ireland was assembled for the purposes of determining the population allele frequency for these STR loci and subsequently, the minimal probability of unique identification they conferred in sampled bovine animals from Northern Ireland.

RESULTS

6 SNPs exhibiting a minor allele frequency of less than 0.2 in more than 3 of the breed panels were excluded. 2 Further SNPs were found to reside in coding areas of the cattle genome and were excluded from the final panel. The remaining 43 SNPs exhibited genotype frequencies which were in Hardy Weinberg Equilibrium. SNPs on the same chromosome were observed to have no significant linkage disequilibrium/allelic association. Minimal probabilities of uniquely identifying individual animals from each of the breeds were obtained and were observed to be superior to those conferred by the industry standard STR assay.

CONCLUSIONS

The 43 SNPs characterised herein may constitute a starting point for the development of a SNP based DNA identification test for European cattle.

Identification and mapping of induced chromosomal deletions using sequence polymorphisms

One of the many advantages of Drosophila melanogaster as a model organism is the relative ease with which gene deletions can be generated by imprecise excision of transposon insertions. Here, we describe a simple, fast, and efficient method of screening for single-gene excision events that is not biased by prior assumptions of the mutant phenotype. DNA sequence polymorphisms were used as co-dominant electrophoretic markers to identify candidate deletions in a single generation, and to delimit the breakpoints to within 0.5-1 kb, thereby rapidly identifying deficiencies that affect only the gene of interest. In addition, we used polymorphism profiling to map existing deficiencies. The method can also be applied to map the extent of deletions generated by x-rays and to identify targeted mutations generated by engineered zinc-finger nucleases in Drosophila and other polymorphic model organisms (e.g., zebrafish, mouse, Caenorhabditis elegans).

Rapid genotyping of single nucleotide polymorphisms influencing warfarin drug response by surface-enhanced laser desorption and ionization time-of-flight (SELDI-TOF) mass spectrometry

Warfarin exhibits significant interindividual variability in dosing requirements. Different drug responses are partly attributed to the single nucleotide polymorphisms (SNPs) that influence either drug action or drug metabolism. Rapid genotyping of these SNPs helps clinicians to choose appropriate initial doses to quickly achieve anticoagulation effects and to prevent complications. We report a novel application of surface-enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS) in the rapid genotyping of SNPs that impact warfarin efficacy. The SNPs were first amplified by PCR and then underwent single base extension to generate the specific SNP product. Next, genetic variants displaying different masses were bound to Q10 anionic proteinChips and then genotyped by using SELDI-TOF MS in a multiplex fashion. SELDI-TOF MS offered unique properties of on-chip sample enrichment and clean-ups, which streamlined the testing procedures and eliminated many tedious experimental steps required by the conventional MS-based method. The turn-around time for genotyping three known warfarin-related SNPs, CYP2C9*2, CYP2C9*3, and VKORC1 3673G>A by SELDI-TOF MS was less than 5 hours. The analytical accuracy of this method was confirmed both by bidirectional DNA sequencing and by comparing the genotype results (n = 189) obtained by SELDI-TOF MS to reports from a clinical reference laboratory. This new multiplex genotyping method provides an excellent clinical laboratory platform to promote personalized medicine in warfarin therapy.

Recent advances in quantitative chimerism analysis

Quantitative chimerism analysis is a diagnostic tool used to monitor engraftment kinetics after allogeneic stem cell transplantation. It reflects the proportion of recipient and donor genotypes and is based on the identification of genetic markers characteristic to a given transplant pair. Currently, PCR amplification of short tandem repeats and single-nucleotide polymorphism-specific quantitative real-time PCR are the most widely used techniques for this purpose. In this review, we will address advances as well as technology-specific imperfections, of both techniques that have emerged over the recent years. We will discuss new principles that may simplify assay design, and improve its robustness and reliability. A better chimerism assay could then guide clinical interventions and may, eventually, improve the outcome of allogeneic stem cell transplantation.