Heterozygote imbalances leading to allele drop-outs and disproportionally large stutters leading to allele drop-ins are known stochastic phenomena related to STR typing of low-template DNA (LtDNA). The large stutters and the many drop-ins in typical STR stutter positions are artifacts from the PCR amplification of tandem repeats. These artifacts may be avoided by typing bi-allelic markers instead of STRs. In this work, the SNPforID multiplex assay was used to type LtDNA. A sensitized SNP typing protocol was introduced, that increased signal strengths without increasing noise and without affecting the heterozygote balance. Allele drop-ins were only observed in experiments with 25pg of DNA and not in experiments with 50 and 100pg of DNA. The allele drop-in rate in the 25pg experiments was 0.06% or 100 times lower than what was previously reported for STR typing of LtDNA. A composite model and two different consensus models were used to interpret the SNP data. Correct profiles with 42-49 SNPs were generated from the 50 and 100pg experiments, whereas a few incorrect genotypes were included in the generated profiles from the 25pg experiments. With the strict consensus model, between 35 and 48 SNPs were correctly typed in the 25pg experiments and only one allele drop-out (error rate: 0.07%) was observed in the consensus profiles. A total of 28 crime case samples were selected for typing with the sensitized SNPforID protocol. The samples were previously typed with old STR kits during the crime case investigation and only partial profiles (0-6 STRs) were obtained. Eleven of the samples could not be quantified with the Quantifiler™ Human DNA Quantification kit because of partial or complete inhibition of the PCR. For eight of these samples, SNP typing was only possible when the buffer and DNA polymerase used in the original protocol was replaced with the AmpFℓSTR(®) SEfiler Plus™ Master Mix, which was developed specifically for challenging forensic samples. All the crime case samples were successfully typed with the SNPforID multiplex assay and the match probabilities ranged from 1.1×10(-15) to 7.9×10(-23). In comparison, four of the samples could not be typed with the AmpFℓSTR(®) SEfiler Plus™ kit and the match probabilities were higher than 10(-7) for another six samples.

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Recent developments in highly parallel genome-wide studies are transforming the association of human health and diseases. In these studies, multiple SNP loci from large amount of samples need to be investigated to obtain a result with a high degree of confidence. Herein, we describe a novel, cost-effective and automated method for high-throughput single nucleotide polymorphisms (SNPs) genotyping based on universal tagged array and magnetic separation. By using two kinds of functionalized magnetic nanoparticles, the whole operation procedure including genome DNA extraction and SNP genotyping can be automatically performed by JANUS automated workstation (Perkin Elmer Inc.). Four different SNPs loci from 80 samples were scored using only one pair of universal dual-color probes, the phase of numerous SNPs can be automated assessed simultaneously. The results demonstrated that the expected scores and good discrimination were obtained between the two alleles from these four SNP loci. Due to adequately taking the advantages of high parallel read-out and intrinsically scalable properties of microarray, and the automated magnetic separation handling technology is highly adaptable fro multiplexing sample preparation and automated SNP analysis, also avoid the complex procedure including purification and concentration, the new strategy is high-throughput, simple, flexible, cost-effective, and will be very suitable for large-scale genotyping.

The high SNP discrimination ratio of 360 : 1, 100% target-specific hybridization at 25 °C, detection limit of 10 copies, and differentiation of 10 to 10 copies of the PCR product of high-risk HPV genotypes in clinical samples ensure the application of the 9G membrane in a convenient platform for DNA genotyping.

ABSTRACT:

BACKGROUND: High density genetic maps built with SNP markers that are polymorphic in various genetic backgrounds are very useful for studying the genetics of agronomical traits as well as genome organization and evolution. Simultaneous dense SNP genotyping of segregating populations and variety collections was applied to oilseed rape (Brassica napus L.) to obtain a high density genetic map for this species and to study the linkage disequilibrium pattern.

RESULTS:

We developed an integrated genetic map for oilseed rape by high throughput SNP genotyping of four segregating doubled haploid populations. A very high level of collinearity was observed between the four individual maps and a large number of markers (>59%) was common to more than two maps. The precise integrated map comprises 5764 SNP and 1603 PCR markers. With a total genetic length of 2250 cM, the integrated map contains a density of 3.27 markers (2.56 SNP) per cM. Genotyping of these mapped SNP markers in oilseed rape collections allowed polymorphism level and linkage disequilibrium (LD) to be studied across the different collections (winter vs spring, different seed quality types) and along the linkage groups. Overall, polymorphism level was higher and LD decayed faster in spring than in “00” winter oilseed rape types but this was shown to vary greatly along the linkage groups.

CONCLUSIONS:

Our study provides a valuable resource for further genetic studies using linkage or association mapping, for marker assisted breeding and for Brassica napus sequence assembly and genome organization analyses.

BackgroundPolyploidy is a major component of eukaryote evolution. Estimation of allele copy numbers for molecular markers has long been considered a challenge for polyploid species, while this process is essential for most genetic research. With the increasing availability and whole-genome coverage of single nucleotide polymorphism (SNP) markers, it is essential to implement a versatile SNP genotyping method to assign allelic configuration efficiently in polyploids.ScopeThis work evaluates the usefulness of the KASPar method, based on competitive allele-specific PCR, for the assignment of SNP allelic configuration. Citrus was chosen as a model because of its economic importance, the ongoing worldwide polyploidy manipulation projects for cultivar and rootstock breeding, and the increasing availability of SNP markers.ConclusionsFifteen SNP markers were successfully designed that produced clear allele signals that were in agreement with previous genotyping results at the diploid level. The analysis of DNA mixes between two haploid lines (Clementine and pummelo) at 13 different ratios revealed a very high correlation (average = 0·9796; s.d. = 0·0094) between the allele ratio and two parameters [θ angle = tan(-1) (y/x) and y’ = y/(x + y)] derived from the two normalized allele signals (x and y) provided by KASPar. Separated cluster analysis and analysis of variance (ANOVA) from mixed DNA simulating triploid and tetraploid hybrids provided 99·71 % correct allelic configuration. Moreover, triploid populations arising from 2n gametes and interploid crosses were easily genotyped and provided useful genetic information. This work demonstrates that the KASPar SNP genotyping technique is an efficient way to assign heterozygous allelic configurations within polyploid populations. This method is accurate, simple and cost-effective. Moreover, it may be useful for quantitative studies, such as relative allele-specific expression analysis and bulk segregant analysis.