Locked nucleic acid (LNA) single nucleotide polymorphism (SNP) genotype analysis and validation using real-time PCR

With an increased emphasis on genotyping of single nucleotide polymorphisms (SNPs) in disease association studies, the genotyping platform of choice is constantly evolving. In addition, the development of more specific SNP assays and appropriate genotype validation applications is becoming increasingly critical to elucidate ambiguous genotypes. In this study, we have used SNP specific Locked Nucleic Acid (LNA) hybridization probes on a real-time PCR platform to genotype an association cohort and propose three criteria to address ambiguous genotypes. Based on the kinetic properties of PCR amplification, the three criteria address PCR amplification efficiency, the net fluorescent difference between maximal and minimal fluorescent signals and the beginning of the exponential growth phase of the reaction. Initially observed SNP allelic discrimination curves were confirmed by DNA sequencing (n = 50) and application of our three genotype criteria corroborated both sequencing and observed real-time PCR results. In addition, the tested Caucasian association cohort was in Hardy-Weinberg equilibrium and observed allele frequencies were very similar to two independently tested Caucasian association cohorts for the same tested SNP. We present here a novel approach to effectively determine ambiguous genotypes generated from a real-time PCR platform. Application of our three novel criteria provides an easy to use semi-automated genotype confirmation protocol.     

Single nucleotide polymorphism (SNP) discovery in porcine expressed genes

High-throughput genotyping of swine populations is a potentially efficient method for establishing animal lineage and identification of loci important to animal health and efficient pork production. Markers were developed based upon single nucleotide polymorphisms (SNPs), which are abundant and amenable to automated genotyping platforms. The focus of this research was SNP discovery in expressed porcine genes providing markers to develop the porcine/human comparative map. Locus specific amplification (LSA) and comparative sequencing were used to generate PCR products and allelic information from parents of a swine reference family. Discovery of 1650 SNPs in 403 amplicons and strategies for optimizing LSA-based SNP discovery using alternative methods of PCR primer design, data analysis, and germplasm selection that are applicable to other populations and species are described. These data were the first large-scale assessment of frequency and distribution of porcine SNPs.     

Real-time genotyping with oligonucleotide probes containing locked nucleic acids

Oligonucleotide probes containing locked nucleic acid (LNA) hybridize to complementary single-stranded target DNA sequences with an increased affinity compared to oligonucleotide DNA probes. As a consequence of the incorporation of LNA residues into the oligonucleotide sequence, the melting temperature of the oligonucleotide increases considerably, thus allowing the successful use of shorter LNA probes as allele-specific tools in genotyping assays. In this article, we report the use of probes containing LNA residues for the development of qualitative fluorescent multiplex assays for the detection of single nucleotide polymorphisms (SNPs) in real-time polymerase chain reaction using the 5'-nuclease detection assay. We developed two applications that show the improved specificity of LNA probes in assays for allelic discrimination. The first application is a four-color 5'-nuclease assay for the detection of SNPs for two of the most common genetic factors involved in thrombotic risk, factor V Leiden and prothrombin G20210A. The second application is a two-color assay for the specific detection of the A-to-T tranversion in codon 6 of the beta-globin gene, responsible for sickle cell anemia. Both real-time genotyping assays were evaluated by comparing the performance of our method to that of a reference method and in both cases, we found a 100% concordance. This approach will be useful for research and molecular diagnostic laboratories in situations in which the specificity provided by oligonucleotide DNA probes is insufficient to discriminate between two DNA sequences that differ by only one nucleotide.     

Techniques de recherche des polymorphismes génétiques

Sequencing the human genome has allowed the discovery of millions of DNA sequence variants. Sequence variations in human DNA are mainly present asSingle Nucleotide Polymorphisms (SNPs); this common form of variation is found about once every 1,000 bases in the human genome and 1.8 million SNPs have now been identified and located. The accessibility of databases of SNPs opens the possibility of studying the influence of these polymorphisms on disease risks as well as on drug responses. Numerous approaches have been set up for the identification of SNPs. In this review we describe the main techniques used for the identification of these polymorphisms. They rely on two major consequences of sequence variations: the apparition or the disappearance of restriction enzyme sites or the alteration of DNA strand hybridization due to the presence of a mismatch. Southern blotting and restriction endonucleases have allowed the development of the technique ofrestriction fragment length polymorphisms (RFLPs), now performed on PCR products. Several other approaches such as denaturing high-performance liquid chromatography or real-time PCR can detect allele differences upon re-hybridization and heteroduplex formation. However, DNA sequencing remains the obligate step for the positive identification of known or unknown SNPs. At last, the development of high-throughput methods allows a large increase in the rate of discovery of SNPs likely.     

Homogeneous scoring of single-nucleotide polymorphisms: comparison of the 5'-nuclease TaqMan assay and Molecular Beacon probes

Homogeneous assays based on real-time fluorescence monitoring during PCR are relevant alternatives for large-scale genotyping of single-nucleotide polymorphisms (SNPs). We compared the performance of the homogeneous TaqMan 5'-nuclease assay and the Molecular Beacon assay using three SNPs in the human estrogen receptor gene as targets. When analyzing a panel of 90 DNA samples, both assays yielded a comparable power of discrimination between the genotypes of a C-to-T transition in codon 10 and a G-to-A transition in codon 594 of the estrogen receptor gene. The Molecular Beacon probes distinguished better than the TaqMan probes between homozygous and heterozygous genotypes of a C-to-G transversion in codon 325. The sensitivity of detecting one allele, present as a minority in a mixed sample, varied between the SNPs and was similar for both assays. With the Molecular Beacon assay, the measured signal ratios were proportional to the amount of the minor allele over a wider range than with the TaqMan assay at all three SNPs.     

Fingerprinting of Campylobacter jejuni by using resolution-optimized binary gene targets derived from comparative genome hybridization studies

The aim of this investigation was to exploit the vast comparative data generated by comparative genome hybridization (CGH) studies of Campylobacter jejuni in developing a genotyping method. We examined genes in C. jejuni that exhibit binary status (present or absent between strains) within known plasticity regions, in order to identify a minimal subset of gene targets that provide high-resolution genetic fingerprints. Using CGH data from three studies as input, binary gene sets were identified with "Minimum SNPs" software. "Minimum SNPs" selects for the minimum number of targets required to obtain a predefined resolution, based on Simpson's index of diversity (D). After implementation of stringent criteria for gene presence/absence, eight binary genes were found that provided 100% resolution (D=1) of 20 C. jejuni strains. A real-time PCR assay was developed and tested on 181 C. jejuni and Campylobacter coli isolates, a subset of which have previously been characterized by multilocus sequence typing, flaA short variable region sequencing, and pulsed-field gel electrophoresis. In addition to the binary gene real-time PCR assay, we refined the seven-member single nucleotide polymorphism (SNP) real-time PCR assay previously described for C. jejuni and C. coli. By normalizing the SNP assay with the respective C. jejuni and C. coli ubiquitous genes, mapA and ceuE, the polymorphisms at each SNP could be determined without separate reactions for every polymorphism. We have developed and refined a rapid, highly discriminatory genotyping method for C. jejuni and C. coli that uses generic technology and is amenable to high-throughput analyses.     

SNiPORK - a microarray of SNPs in candidate genes potentially associated with pork yield and quality - development and validation in commercial breeds

SNiPORK is an oligonucleotide microarray based on the arrayed primer extension (APEX) technique, allowing genotyping of single nucleotide polymorphisms (SNPs) in genes of interest for pork yield and quality traits. APEX consists of a sequencing reaction primed by an oligonucleotide anchored with its 5' end to a glass slide and terminating one nucleotide before the polymorphic site. Extension with one fluorescently labeled dideoxynucleotide complementary to the template reveals the polymorphism. Ninety SNPs were selected from those associated directly or potentially with pork traits. Of the 90 SNPs, 5 did not produce a positive signal. For 85 SNPs, 100% repeatiblity was proved by double genotyping of 13 randomly chosen boars. In addition, the accuracy of genotyping was verified in 2 sib-families by a Mendelian inheritance of 49-50 homozygous genotypes from sire to sons. Three genotype discrepancies were found (97% accuracy rate). All inaccurities were confirmed by an alternative method (sequencing and PCR-RFLP assays). Moreover, the exclusion power of the chip was evalueted by an SNP inheritance analysis of unrelated boars within each sib-family. In the validation step, 88 boars (13 Pietrain, 31 Landrace, 16 Large White, 8 Duroc, 7 Hampshire x Pietrain crosses, and 13 other hybrid lines) were screened to validate SNPs. Among the 85 selected SNPs, 12 were found to be monoallelic, the rest showing at least two genotypes for the entire population under study. The primary application of the SNiPORK chip is the simultaneous genotyping of dozens of SNPs to study gene interaction and consequently better understand the genetic background of pork yield and quality. The chip may prospectively be used for evolutionary studies, evaluation of genetic distances between wild and domestic pig breeds, traceability tests, as well as the starting point for developing a platform for identification and paternity analysis.     

Genotyping with TaqMAMA

TaqMAMA combines the quantitative strengths of TaqMan with the allele-specific PCR of MAMA. In this article we develop TaqMAMA as a technique for screening human DNA samples for known genetic polymorphisms. In the first set of experiments, plasmids that model all types of genetic polymorphisms were used to understand the relationship between TaqMAMA primer/template mismatches and their strength of allelic discrimination. These data can be used to improve allelic discrimination of other primer extension genotyping methodologies through directed use of nucleotide mismatches. We used the data to derive a guide for TaqMAMA primer design and DNA strand selection for TaqMAMA genotyping assays. The guide was then used to develop assays for 11 known and novel human genetic polymorphisms. Genotypes were assigned quickly and accurately in all cases. TaqMAMA genotyping assays require minimal development time, have a high probability of success, produce reliable data that are straightforward to analyze, and are very cost-competitive.     

A new multiplex SNP genotyping assay for detecting hybridization and introgression between the M and S molecular forms of Anopheles gambiae

The M and S forms of Anopheles gambiae have been the subject of intense study, but are morphologically indistinguishable and can only be identified using molecular techniques. PCR‐based assays to distinguish the two forms have been designed and applied widely. However, the application of these assays towards identifying hybrids between the two forms, and backcrossed hybrids in particular, has been problematic as the currently available diagnostic assays are based on single locus and/or are located within a multicopy gene. Here, we present an alternative genotyping method for detecting hybridization and introgression between M and S molecular forms based on a multilocus panel of single‐nucleotide polymorphisms (SNPs) fixed between the M and S forms. The panel of SNPs employed is located in so‐called islands of divergence leading us to describe this method as the ‘Divergence Island SNP’ (DIS) assay. We show this multilocus SNP genotyping approach can robustly and accurately detect F1 hybrids as well as backcrossed individuals.     

Rapid typing of Coxiella burnetii

Coxiella burnetii has the potential to cause serious disease and is highly prevalent in the environment. Despite this, epidemiological data are sparse and isolate collections are typically small, rare, and difficult to share among laboratories as this pathogen is governed by select agent rules and fastidious to culture. With the advent of whole genome sequencing, some of this knowledge gap has been overcome by the development of genotyping schemes, however many of these methods are cumbersome and not readily transferable between institutions. As comparisons of the few existing collections can dramatically increase our knowledge of the evolution and phylogeography of the species, we aimed to facilitate such comparisons by extracting SNP signatures from past genotyping efforts and then incorporated these signatures into assays that quickly and easily define genotypes and phylogenetic groups. We found 91 polymorphisms (SNPs and indels) among multispacer sequence typing (MST) loci and designed 14 SNP-based assays that could be used to type samples based on previously established phylogenetic groups. These assays are rapid, inexpensive, real-time PCR assays whose results are unambiguous. Data from these assays allowed us to assign 43 previously untyped isolates to established genotypes and genomic groups. Furthermore, genotyping results based on assays from the signatures provided here are easily transferred between institutions, readily interpreted phylogenetically and simple to adapt to new genotyping technologies.     

Fast and cost‐effective single nucleotide polymorphism (SNP) detection in the absence of a reference genome using semideep next‐generation Random Amplicon Sequencing (RAMseq)

Biodiversity has suffered a dramatic global decline during the past decades, and monitoring tools are urgently needed providing data for the development and evaluation of conservation efforts both on a species and on a genetic level. However, in wild species, the assessment of genetic diversity is often hampered by the lack of suitable genetic markers. In this article, we present Random Amplicon Sequencing (RAMseq), a novel approach for fast and cost‐effective detection of single nucleotide polymorphisms (SNPs) in nonmodel species by semideep sequencing of random amplicons. By applying RAMseq to the Eurasian otter (Lutra lutra), we identified 238 putative SNPs after quality filtering of all candidate loci and were able to validate 32 of 77 loci tested. In a second step, we evaluated the genotyping performance of these SNP loci in noninvasive samples, one of the most challenging genotyping applications, by comparing it with genotyping results of the same faecal samples at microsatellite markers. We compared (i) polymerase chain reaction (PCR) success rate, (ii) genotyping errors and (iii) Mendelian inheritance (population parameters). SNPs produced a significantly higher PCR success rate (75.5% vs. 65.1%) and lower mean allelic error rate (8.8% vs. 13.3%) than microsatellites, but showed a higher allelic dropout rate (29.7% vs. 19.8%). Genotyping results showed no deviations from Mendelian inheritance in any of the SNP loci. Hence, RAMseq appears to be a valuable tool for the detection of genetic markers in nonmodel species, which is a common challenge in conservation genetic studies.     

An alternative method for genotyping of the <Emphasis Type="Italic">ACE</Emphasis> I/D polymorphism

The mistyping of the angiotensin I-converting enzyme insertion/deletion (ACE I/D) has been well documented, and new methods have been suggested here to improve the genotyping efficiency. Buccal cell samples were collected from 157 young Caucasians, and genotyped using previously known and newly developed PCR amplification genotyping techniques, as well as PCR-RFLP tests for three single nucleotide polymorphisms (rs4327, rs4341 and rs4343). Inconsistent genotyping results were found when using only the PCR amplification genotyping techniques across repeated attempts (8% to 45%), however, individual SNP genotyping was highly consistent (100%). Two SNPs (rs4341 and rs4343) were in complete LD and SNP rs4327 was in high LD with the ACE I/D. The ACE I/D was in HW equilibrium in the portion of the population with consistent genotyping results, whereas the three SNPs were not in HW equilibrium. The mistyping of ACE I/D by only PCR amplification can be improved using alternative methods.     

SNPdetector: a software tool for sensitive and accurate SNP detection

Identification of single nucleotide polymorphisms (SNPs) and mutations is important for the discovery of genetic predisposition to complex diseases. PCR resequencing is the method of choice for de novo SNP discovery. However, manual curation of putative SNPs has been a major bottleneck in the application of this method to high-throughput screening. Therefore it is critical to develop a more sensitive and accurate computational method for automated SNP detection. We developed a software tool, SNPdetector, for automated identification of SNPs and mutations in fluorescence-based resequencing reads. SNPdetector was designed to model the process of human visual inspection and has a very low false positive and false negative rate. We demonstrate the superior performance of SNPdetector in SNP and mutation analysis by comparing its results with those derived by human inspection, PolyPhred (a popular SNP detection tool), and independent genotype assays in three large-scale investigations. The first study identified and validated inter- and intra-subspecies variations in 4,650 traces of 25 inbred mouse strains that belong to either the Mus musculus species or the M. spretus species. Unexpected heterozygosity in CAST/Ei strain was observed in two out of 1,167 mouse SNPs. The second study identified 11,241 candidate SNPs in five ENCODE regions of the human genome covering 2.5 Mb of genomic sequence. Approximately 50% of the candidate SNPs were selected for experimental genotyping; the validation rate exceeded 95%. The third study detected ENU-induced mutations (at 0.04% allele frequency) in 64,896 traces of 1,236 zebra fish. Our analysis of three large and diverse test datasets demonstrated that SNPdetector is an effective tool for genome-scale research and for large-sample clinical studies. SNPdetector runs on Unix/Linux platform and is available publicly (http://lpg.nci.nih.gov).     

SNPkit: an efficient approach to systematic evaluation of candidate single nucleotide polymorphisms in public databases

There is widespread interest in devising genotyping methods for SNPs that are robust, inexpensive, and simple to perform. Although several high-throughput SNP genotyping technologies have been developed, including the oligonucleotide ligation assay, real-time PCR, and mass spectrometry, the issues of simplicity and cost-effectiveness have not been adequately addressed. Here we describe the application of a novel computer software package, SNPkit, which designs SNP genotyping assays based on a classical approach for discriminating alleles, restriction enzyme digestion. SNPkit can be used in genotyping assays for almost any SNPs including those that do not alter "natural" restriction sites. Using this method, 164 SNPs have been evaluated in DNA samples from 48 immortalized cell lines of randomly selected Chinese subjects. Sixty-two (37.8%) of the SNPs appeared to be common (frequencies of the minor alleles are > or = 5%) and were subsequently applied to a larger population-based sample. Overall, by using SNPkit, we have been able to validate and genotype accurately a large fraction of publicly available SNPs without sophisticated instrumentation.     

Development of a SNP genotyping panel for genetic monitoring of the laboratory mouse

We have developed a genotyping system for detecting genetic contamination in the laboratory mouse based on assaying single-nucleotide polymorphism (SNP) markers positioned on all autosomes and the X chromosome. This system provides a fast, reliable, and cost-effective way for genetic monitoring, while maintaining a very high degree of confidence. We describe the allelic distribution of 235 SNPs in 48 mouse strains, thereby creating a database of polymorphisms useful for genotyping purposes. The SNP markers used in this study were chosen from publicly available SNP databases. Four genotyping methods were evaluated, and dynamic two-tube allele-specific PCR assays were developed for each marker and tested on a set of 48 inbred mouse strains. The minimal number of assays sufficient to distinguish groups consisting of different numbers of mouse strains was estimated, and a panel of 28 SNPs sufficient to distinguish virtually all of the inbred strains tested was selected. Amplifluor SNP detection assays were developed for these markers and tested on an extended list of 96 strains. This panel was used as a genetic quality control approach to monitor the genotypes of nearly 300 inbred, wild-derived, congenic, consomic, and recombinant inbred strains maintained at The Jackson Laboratory. We have concluded that this marker panel is sufficient for genetic contamination monitoring in colonies containing a large number of genetically diverse mouse strains and that reduced versions of the panel could be implemented in facilities housing a lower number of strains.     

High-throughput single-nucleotide polymorphism genotyping by fluorescent competitive allele-specific polymerase chain reaction (SNiPTag)

Single nucleotide polymorphisms (SNPs) are becoming widely recognized as the new currency for gene mapping as increasing numbers are discovered. Here we outline a method for their rapid analysis based on an allele-specific polymerase chain reaction (PCR) which employs a competitive approach, whereby both allele-specific primers are present in the same reaction and carry different fluorescent labels. This procedure is simple and amenable to high-throughput genotyping using conventional automated sequencing equipment, and no post-PCR modifications are required. Verification of the procedure was carried out by comparison of results derived by this method with those from restriction enzyme digestion of the ALDH2 exon 12 functional polymorphism (Glu-487-Lys) in 109 individuals. Additionally, we have examined all combinations of nucleotide substitutions and shown them to be differentiated by this method. As proof of concept, several assays were combined and loaded on a single gel lane/capillary to substantially improve throughput. This was made possible by designing the PCR products to be of different lengths and no interference was observed between products differing in size by only six nucleotides. We outline a number of test assays for well-characterized SNPs in human candidate genes for behavioral disorders.     

Development of a set of SNP markers present in expressed genes of the apple

Molecular markers associated with gene coding regions are useful tools for bridging functional and structural genomics. Due to their high abundance in plant genomes, single nucleotide polymorphisms (SNPs) are present within virtually all genomic regions, including most coding sequences. The objective of this study was to develop a set of SNPs for the apple by taking advantage of the wealth of genomics resources available for the apple, including a large collection of expressed sequenced tags (ESTs). Using bioinformatics tools, a search for SNPs within an EST database of approximately 350,000 sequences developed from a variety of apple accessions was conducted. This resulted in the identification of a total of 71,482 putative SNPs. As the apple genome is reported to be an ancient polyploid, attempts were made to verify whether those SNPs detected in silico were attributable either to allelic polymorphisms or to gene duplication or paralogous or homeologous sequence variations. To this end, a set of 464 PCR primer pairs was designed, PCR was amplified using two subsets of plants, and the PCR products were sequenced. The SNPs retrieved from these sequences were then mapped onto apple genetic maps, including a newly constructed map of a Royal Gala x A689-24 cross and a Malling 9 x Robusta 5, map using a bin mapping strategy. The SNP genotyping was performed using the high-resolution melting (HRM) technique. A total of 93 new markers containing 210 coding SNPs were successfully mapped. This new set of SNP markers for the apple offers new opportunities for understanding the genetic control of important horticultural traits using quantitative trait loci (QTL) or linkage disequilibrium analysis. These also serve as useful markers for aligning physical and genetic maps, and as potential transferable markers across the Rosaceae family.     

Single nucleotide polymorphism genotyping in polyploid wheat with the Illumina GoldenGate assay

Single nucleotide polymorphisms (SNPs) are indispensable in such applications as association mapping and construction of high-density genetic maps. These applications usually require genotyping of thousands of SNPs in a large number of individuals. Although a number of SNP genotyping assays are available, most of them are designed for SNP genotyping in diploid individuals. Here, we demonstrate that the Illumina GoldenGate assay could be used for SNP genotyping of homozygous tetraploid and hexaploid wheat lines. Genotyping reactions could be carried out directly on genomic DNA without the necessity of preliminary PCR amplification. A total of 53 tetraploid and 38 hexaploid homozygous wheat lines were genotyped at 96 SNP loci. The genotyping error rate estimated after removal of low-quality data was 0 and 1% for tetraploid and hexaploid wheat, respectively. Developed SNP genotyping assays were shown to be useful for genotyping wheat cultivars. This study demonstrated that the GoldenGate assay is a very efficient tool for high-throughput genotyping of polyploid wheat, opening new possibilities for the analysis of genetic variation in wheat and dissection of genetic basis of complex traits using association mapping approach. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

MilkProtChip--a microarray of SNPs in candidate genes associated with milk protein biosynthesis--development and validation

MilkProtChip is an oligonucleotide microarray based on the arrayed primer extension (APEX) technique, allowing genotyping of single nucleotide polymorphisms (SNPs) in genes of interest for bovine milk protein biosynthesis. APEX consists of a sequencing reaction primed by an oligonucleotide anchored with its 5'end to a glass slide and terminating one nucleotide before the polymorphic site. The extension with one fluorescently labeled dideoxy nucleotide complementary to the template reveals the polymorphism. A total of 75 SNPs were selected among those associated directly or potentially with milk protein content. Among the 75 SNPs, 4 did not produce a positive signal. Most of the remaining SNPs produced a signal for both strands, except for 4 (one strand). In the validation step, 12 Polish Holstein bulls, 1 Polish Red bull, 1 bison (Bison bonasus), 11 Jersey cows and 25 Polish Holstein cows were screened to validate SNPs. Among the 71 selected SNPs--26 were found monoallelic, the rest showing at least two genotypes for the entire population under study. All the animals were earlier genotyped for 2-5 SNPs by PCR-RFLP and PCR sequencing and all showed complete concordance with APEX genotyping. APEX reactions showed relatively high signal frequencies: more than 0.9, 0.9-0.8 and below 0.8, for 65, 4 and 2 DNA samples, respectively. The primary application of the MilkProtChip is the simultaneous genotyping of dozens of SNPs to reveal and clarify the genetic background of milk protein biosynthesis. The chip may possibly be used for dairy cattle identification and paternity analysis, evolutionary studies, the evaluation of genetic distances between wild and domestic cattle breeds and the domestication history of bovine species.