Quantitative heteroduplex analysis for single nucleotide polymorphism genotyping

High-resolution melting of polymerase chain reaction (PCR) products can detect heterozygous mutations and most homozygous mutations without electrophoretic or chromatographic separations. However, some homozygous single nucleotide polymorphism (SNPs) have melting curves identical to that of the wild-type, as predicted by nearest neighbor thermodynamic models. In these cases, if DNA of a known reference genotype is added to each unknown before PCR, quantitative heteroduplex analysis can differentiate heterozygous, homozygous, and wild-type genotypes if the fraction of reference DNA is chosen carefully. Theoretical calculations suggest that melting curve separation is proportional to heteroduplex content difference and that the addition of reference homozygous DNA at one seventh of total DNA results in the best discrimination between the three genotypes of biallelic SNPs. This theory was verified experimentally by quantitative analysis of both high-resolution melting and temperature-gradient capillary electrophoresis data. Reference genotype proportions other than one seventh of total DNA were suboptimal and failed to distinguish some genotypes. Optimal mixing before PCR followed by high-resolution melting analysis permits genotyping of all SNPs with a single closed-tube analysis.     

Development of a Melting Curve-Based Allele-Specific PCR of Apolipoprotein E (APOE) Genotyping Method for Genomic DNA,Guthrie Blood Spot,and Whole Blood

Genetic polymorphisms of apolipoprotein E (APOE) are associated with various health conditions and diseases, such as Alzheimer’s disease, cardiovascular diseases, type 2 diabetes, etc. Hence, genotyping of APOE has broad applications in biomedical research and clinical settings, particularly in the era of precision medicine. The study aimed to develop a convenient and accurate method with flexible throughput to genotype the APOE polymorphisms. A melting curve-based allele-specific PCR method was developed to genotype two single nucleotide polymorphisms (SNPs) of APOE, i.e. rs429358 at codon 112 and rs7412 at codon 158. These two SNPs determine the genotype of APOE2, E3, and E4. PCR-based Sanger sequencing was used as the reference method for APOE genotyping. A 100% concordance rate was obtained in 300 subjects between the melting curve-based allele-specific PCR method and the Sanger sequencing method. This method was applied to a genetic association analysis of APOE and schizophrenia consisting of 711 patients with schizophrenia and 665 control subjects from Taiwan. However, no significant differences in the allele and genotype frequencies were detected between these two groups. Further experiments showed that DNA dissolved from blood collected on Guthrie filter paper and total blood cell lysate without DNA extraction can be used in the melting curve-based allele-specific PCR method. Thus, we suggest that this is a fast, accurate and robust APOE genotyping method with a flexible throughput and suitable for DNA template from different preparations. This convenient method shall meet the different needs of various research and clinical laboratories.     

Multiplex Amplicon Genotyping by High-Resolution Melting

High-resolution amplicon melting is a simple method for genotyping that uses only generic PCR primers and a saturating DNA dye. Multiplex amplicon genotyping has previously been reported in a single color, but two instruments were required: a carousel-based rapid cycler and a high-resolution melting instrument for capillaries. Manual transfer of capillaries between instruments and sequential melting of each capillary at 0.1°C/s seriously limited the throughput. In this report, a single instrument that combines rapid-cycle real-time PCR with high-resolution melting [LightScanner-32 (LS-32), Idaho Technology, Salt Lake City, UT] was used for multiplex amplicon genotyping. The four most common mutations associated with thrombophilia, F5 (factor V Leiden 1691G>A), F2 (prothrombin 20210G>A), and methylenetetrahydrofolate reductase (MTHFR; 1298A>C and 677C>T) were genotyped in a single homogeneous assay with internal controls to adjust for minor chemistry and instrument variation. Forty temperature cycles required 9.2 min, and each capillary required 2.2 min by melting at 0.3°C/s, 3× the prior rate. Sample volume was reduced from 20 μl to 10 μl. In a blinded study of 109 samples (436 genotypes), complete concordance with standard assays was obtained. In addition, the rare variant MTHFR 1317T>C was genotyped correctly when present. The LS-32 simplifies more complex high-resolution melting assays by reducing hands-on manipulation, total time of analysis, and reagent cost while maintaining the resolution necessary for multiplex amplicon genotyping.     

High-resolution melting molecular signatures for rapid identification of human papillomavirus genotypes

Background

Genotyping of human papillomarvirus (HPV) is crucial for patient management in a clinical setting. This study accesses the combined use of broad-range real-time PCR and high-resolution melting (HRM) analysis for rapid identification of HPV genotypes.

Methods

Genomic DNA sequences of 8 high-risk genotypes (HPV16/18/39/45/52/56/58/68) were subject to bioinformatic analysis to select for appropriate PCR amplicon. Asymmetric broad-range real-time PCR in the presence of HRM dye and two unlabeled probes specific to HPV16 and 18 was employed to generate HRM molecular signatures for HPV genotyping. The method was validated via assessment of 119 clinical HPV isolates.

Results

A DNA fragment within the L1 region was selected as the PCR amplicon ranging from 215–221 bp for different HPV genotypes. Each genotype displayed a distinct HRM molecular signature with minimal inter-assay variability. According to the HRM molecular signatures, HPV genotypes can be determined with one PCR within 3 h from the time of viral DNA isolation. In the validation assay, a 91% accuracy rate was achieved when the genotypes were in the database. Concomitantly, the HRM molecular signatures for additional 6 low-risk genotypes were established.

Conclusions

This assay provides a novel approach for HPV genotyping in a rapid and cost-effective manner.     

Optimization of melting analysis with TaqMan probes for detection of KRAS,NRAS, and BRAF mutations

The TaqMan probes that have been long and effectively used in real-time polymerase chain reaction (PCR) may also be used in DNA melting analysis. We studied some factors affecting efficiency of the approach such as (i) number of asymmetric PCR cycles preceding DNA melting analysis, (ii) choice of fluorophores for the multiplex DNA melting analysis, and (iii) choice of sense or antisense TaqMan probes for optimal resolution of wild-type and mutant alleles. We also determined ΔT_m (i.e., the temperature shift of a heteroduplex relative to the corresponding homoduplex) as a means of preliminary identification of mutation type. In experiments with serial dilution of mutant KRAS DNA with wild-type DNA, the limit of detection of mutant alleles was 1.5–3.0%. Using DNA from both tumor and formalin-fixed paraffin-embedded tissues, we demonstrated a high efficiency of TaqMan probes in mono- and multiplex mutation scanning of KRAS, NRAS (codons 12, 13, and 61), and BRAF (codon 600) genes. This cost-effective method, which can be applied to practically any mutation hot spot in the human genome, combines simplicity, ease of execution, and high sensitivity—all of the qualities required for clinical genotyping.     

SNP exploring in the middle and terminal regions of the IGF-1 gene and association with production and reproduction traits in Holstein cattle

Five primer sets were designed in order to identify single nucleotide polymorphisms (SNPs) in middle and terminal exons (2 to 6) and in some flanking intronic regions of the bovine insulin-like growth factor 1 (IGF-1) gene. Sequencing results of PCR products for 10% of animals showed no variant in exons but a SNP at intron 4 was occurred. Both polymerase chain reaction–restriction fragment length polymorphism (PCR–RFLP) and high resolution melting (HRM) methods were developed to genotype samples. The PCR–RFLP results showed the presence of three fragments on agarose gel for the C allele due to two cleavage sites while two fragments for the T allele were observed. Melting curves of 123 bp fragments in HRM analysis showed a difference between temperature melting (T_m) of two homozygous genotypes as the CC genotypes had higher T_m than the TT genotypes. Melting curve of the CT genotype was different and crossed two parallel patterns of homozygous genotypes. The frequencies of the CC, CT and TT genotypes were 0.6, 0.37 and 0.03, respectively. Also, the estimated allele frequencies were 0.785 and 0.215 for the C and T alleles, respectively. Results showed higher accuracy of the HRM analysis compared to the PCR–RFLP method. Least square means (LSMs) comparison of the different genotypes in the SNP showed significant association with milk fat yield trait in the first lactation and open days after the second calving. The polymorphism did not have a significant effect on other milk production or reproduction traits. It seems that other variants or QTLs known in this region underlie genetic variation in the production and reproduction of dairy cattle.     

Rapid detection of the 46C --> T polymorphism in the factor XII gene, a novel genetic risk factor for thrombosis, by melting peak analysis using fluorescence hybridization probes

Factor XII (FXII) level is an important intermediate phenotype associated with thrombotic disease. The 46C --> T transition in the exon 1 of the Factor XII (F12) gene is a significant, prevalent, and independent genetic risk factor for thrombotic disease. It is also associated with interindividual variation of plasma FXII zymogen levels. The aims of this study were to develop a rapid, reproducible, and easy method for 46C --> T genotyping and to compare its reliability with the classical endonuclease digestion methodology. DNA samples from 100 subjects were genotyped for the 46C --> T transition using the classical endonuclease digestion method with Sfna I. The genotypes of three of them (each with a different 46C R T genotype) were confirmed by direct sequencing analysis. We then set out to construct a LightCycler PCR protocol to detect the 46C --> T polymorphism. This protocol was designed to combine a rapid-cycle polymerase chain reaction (PCR) with an allele-specific fluorescent probe melting for mutation detection. In the three sequenced samples, as well as in the remaining 97, the LightCycler PCR procedure unambiguously resulted in the same genotype previously observed by sequencing and endonuclease digestion. Characteristic fluorescent curves were obtained for each genotype; the first derivative of these curves had a maximum at an apparent hybridization temperature (Tm) that was specific for each probe/allele duplex. The whole process took less than 40 min. Thus, if this method is used with a rapid DNA extraction, the genotypes would be obtained within 60 min after receiving a blood sample. In conclusion, the technique presented allows for easy, reliable, and rapid detection of this polymorphism, and is suitable for typing both small and large numbers of DNA samples.     

Automated Classification and Cluster Visualization of Genotypes Derived from High Resolution Melt Curves

Introduction

High Resolution Melting (HRM) following PCR has been used to identify DNA genotypes. Fluorescent dyes bounded to double strand DNA lose their fluorescence with increasing temperature, yielding different signatures for different genotypes. Recent software tools have been made available to aid in the distinction of different genotypes, but they are not fully automated, used only for research purposes, or require some level of interaction or confirmation from an analyst.

Materials and Methods

We describe a fully automated machine learning software algorithm that classifies unknown genotypes. Dynamic melt curves are transformed to multidimensional clusters of points whereby a training set is used to establish the distribution of genotype clusters. Subsequently, probabilistic and statistical methods were used to classify the genotypes of unknown DNA samples on 4 different assays (40 VKORC1, CYP2C9*2, CYP2C9*3 samples in triplicate, and 49 MTHFR c.665C>T samples in triplicate) run on the Roche LC480. Melt curves of each of the triplicates were genotyped separately.

Results

Automated genotyping called 100% of VKORC1, CYP2C9*3 and MTHFR c.665C>T samples correctly. 97.5% of CYP2C9*2 melt curves were genotyped correctly with the remaining 2.5% given a no call due to the inability to decipher 3 melt curves in close proximity as either homozygous mutant or wild-type with greater than 99.5% posterior probability.

Conclusions

We demonstrate the ability to fully automate DNA genotyping from HRM curves systematically and accurately without requiring any user interpretation or interaction with the data. Visualization of genotype clusters and quantification of the expected misclassification rate is also available to provide feedback to assay scientists and engineers as changes are made to the assay or instrument.     

Simultaneous monitoring of two fungal genotypes on plant roots by single nucleotide polymorphism quantification with an innovative KASPar quantitative PCR

An innovative quantitative PCR-based method derived from the Kompetitive Allele Specific PCR Assay Reagent (KASPar) system was developed to quantify the genomic DNA from two coexisting genotypes on the same tissues of a host-plant. For this purpose, the classical end-point KASPar method was evolved to a real-time method thanks to the addition of an adapted measurement step after each PCR cycle. It was applied to the quantification of the two genotypes G1 and G2 of the Gaeumannomyces graminis var. tritici (Ggt) soilborne fungus, pathogenic on wheat roots. Specific primers targeting a single nucleotide polymorphism from the ITS sequence were used allowing simultaneous quantification of both genotypes in the same reaction. The assays were applied to quantify fungal DNA of each genotype, aside or mixed together, after DNA extraction from fungal pure cultures and from single or co-inoculated roots in artificial medium or in soil. The detection and quantification lower limits for the two genotypes were 1.25 pg and 5 pg for DNA from fungal pure cultures, and 1.8 pg and 7 pg for DNA from fungal inoculated roots. The advantages of this cost-effective method are the high levels of specificity, sensitivity and reproducibility. Moreover, the accuracy of the method is independent of the copy numbers of the target sequences. The method is the first one to adapt the non-quantitative genotyping KASPar system to a quantitative application of two known genotypes of a species simultaneously and is suitable for simultaneous genotype-specific quantification of any other organisms (fungi, bacteria, plants).     

Improvements in allelic discrimination of microsatellite markers using denaturing polyacrylamide gel electrophoresis

Poor resolution, retarded progress of DNA through gels, and variable sizing of DNA fragments between and within gels hinder accurate genotyping of some simple sequence length polymorphism (SSLP) markers with the Perkin Elmer Applied Biosystems 377 Sequenator. These problems are similar to renaturation related problems observed in DNA sequencing gels. PCR products especially susceptible to these problems are shown to have higher melting temperatures (T_m) than others. Gels containing increased concentrations of denaturants allow greater accuracy in allelic discrimination. This is especially beneficial where quantification is necessary. Received: 7 February 2000 / Accepted: 16 March 2000     

Genotyping and detection of multiple infections of Toxoplasma gondii using Pyrosequencing

A Pyrosequencing assay, based on SAG2 gene polymorphisms, was designed for genotyping and detection of multiple infections of Toxoplasma gondii. The assay was tested on samples spiked with DNA from single and multiple genotypes of T. gondii and also on a DNA sample from the brain of a rat with multiple infections. To evaluate the comparative efficacy of the assay, identical samples were also analysed by PCR-restriction fragment length polymorphism (RFLP) and dideoxy sequencing. The Pyrosequencing assay was found to be superior to the two conventional techniques. Genotyping and detection of multiple alleles were possible after a single PCR assay in duplex format, from both the spiked and direct samples. The simplex PCR assay enabled accurate quantification of the different alleles in the mix. In comparison, PCR-RFLP and dideoxy sequencing were neither able to unequivocally detect multiple genotype infections, nor quantify the relative concentrations of the alleles. We conclude that Pyrosequencing offers a simple, rapid and efficient means for diagnosis and genotyping of T. gondii, as well as detection and quantification of multiple genotype infections of T. gondii.     

GSTT1 and GSTM1 gene copy number analysis in paraffin-embedded tissue using quantitative real-time PCR

GSTT1 and GSTM1 genes possess an inherited deletion associated with a lack of enzyme activity. The heterozygous condition of this deletion is difficult to determine in low-quality DNA with existing PCR protocols. We designed and validated a multiplex real-time PCR assay by adapting the ΔΔCt relative quantification method for the analysis of GSTT1 and GSTM1 markers to accurately differentiate the three genotypes (∗1/1, ∗1/0, and ∗0/0) in degraded DNA from formalin-fixed paraffin-embedded tissue. Gene copy number values obtained provide for unambiguous homozygous and heterozygous differentiation. The efficacy shown by the PCR assay endorses its usefulness for complete genotyping of glutathione S-transferases in archival tissues.     

Evaluation of High-Resolution Melting for Gene Mapping in Rice

In this study, high-resolution melting (HRM) analysis was evaluated for gene mapping in rice with sequence-tagged site (STS) and simple sequence repeat (SSR) markers. A total of 103 out of 353 normal STS and SSR markers revealed polymorphic melting curves among the parental genotypes, and 12 of these were successfully used to genotype the F₂ mapping population for HRM analysis. Additional electrophoresis findings demonstrated that HRM genotyping matched with traditional electrophoresis results. To optimize the HRM-marker screening efficiency, different HRM reaction conditions were evaluated. A 5-μl touchdown-polymerase chain reaction (PCR) system provided no significant improvement in screening efficiency but in a 10-μl touchdown-PCR system, the marker screening efficiency increased by 75%. Twenty-one markers were obtained for mapping purposes under the optimized reaction conditions. This study indicates that HRM analysis can speed up the gene mapping progress in rice, while saving a lot of manpower.     

Assessment of DHPLC usefulness in the genotyping of GSTP1 exon 5 SNP: comparison to the PCR-RFLP method

Single-nucleotide polymorphism (SNP) analysis can be performed by several methods such as PCR-RFLP, real time PCR and mass spectrometry. Denaturating High Pressure Liquid Chromatography (DHPLC) analysis allows the detection of DNA mutations in heteroduplex samples. GSTP1 exon 5 gene presents a single-nucleotide polymorphism (a to g) that results into an amino-acid substitution (Ile to Val). Ile and Val variants are identified respectively by a and b alleles. This polymorphism affects enzyme activity and is highly frequent within Caucasian populations and therefore widely studied in the context of SNP related to cancer susceptibility. Our goal was to evaluate DHPLC usefulness in detecting a well-known SNP in comparison to PCR-RFLP, in the field of molecular epidemiological studies. Fifty Caucasian people were genotyped by both methods. Heterozygous samples were identified easily at two temperatures using the DHPLC method. Discrimination between a/a and b/b homozygous genotypes was done by pooling every homozygous sample with a known a/a sample. Our genotyping using both methods resulted in the characterisation of 32 (64%) a/a homozygous, 18 (36%) a/b heterozygous and 5 (10%) b/b homozygous. All samples were also identically genotyped by the two methods. Our results show that DHPLC is a good alternative to classical PCR-RFLP method in genotyping SNPs. Advantages of this chromatographic method were no restriction site needed and a reduced technical time thanks to an automated injection. Moreover, unlike classical RFLP gel analysis, DHPLC chromatograms provided objective criteria for sample classification.     

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.     

Simultaneous mutation scanning and genotyping by high-resolution DNA melting analysis

This protocol permits the simultaneous mutation scanning and genotyping of PCR products by high-resolution DNA melting analysis. This is achieved using asymmetric PCR performed in the presence of a saturating fluorescent DNA dye and unlabeled oligonucleotide probes. Fluorescent melting curves of both PCR amplicons and amplicon-probe duplexes are analyzed. The shape of the PCR amplicon melting transition reveals the presence of heterozygotes, whereas specific genotyping is enabled by melting of the unlabeled probe-amplicon duplex. Unbiased hierarchal clustering of melting transitions automatically groups different sequence variants; this allows common variants to be easily recognized and genotyped. This technique may be used in both laboratory research and clinical settings to study single-nucleotide polymorphisms and small insertions and deletions, and to diagnose associated genetic disorders. High-resolution melting analysis accomplishes simultaneous gene scanning and mutation genotyping in a fraction of the time required when using traditional methods, while maintaining a closed-tube environment. The PCR requires <30 min (capillaries) or 1.5 h (96- or 384-well plates) and melting acquisition takes 1-2 min per capillary or 5 min per plate.     

Experiments in DNA extraction and PCR amplification from bighorn sheep feces: the importance of DNA extraction method

Reliability of genotyping is an issue for studies using non-invasive sources of DNA. We emphasize the importance of refining DNA extraction methods to maximize reliability and efficiency of genotyping for such DNA sources. We present a simple and general method to quantitatively compare genotyping reliability of various DNA extraction techniques and sample materials used. For bighorn sheep (Ovis canadensis) fecal samples we compare different fecal pellet materials, different amounts of fecal pellet material, and the effects of eliminating two DNA extraction steps for four microsatellite loci and four samples heterozygous at each locus. We evaluated 192 PCR outcomes for each treatment using indices of PCR success and peak height (signal strength) developed from analysis output of sequencer chromatograms. Outermost pellet material produced PCR results almost equivalent to DNA extracted from blood. Where any inner pellet material was used for DNA extraction, PCR results were poorer and inconsistent among samples. PCR success was not sensitive to amount of pellet material used until it was decreased to 15 mg from 60 mg. Our PCR index provides considerably more information relative to potential genotyping errors than simply comparing genotypes derived from paired fecal and blood or tissue samples. Our DNA extraction method probably has wide applicability to herbivores that produce pelleted feces where samples dry rapidly after deposition.     

Rapid and Efficient Zebrafish Genotyping Using PCR with High-resolution Melt Analysis

Zebrafish is a powerful vertebrate model system for studying development, modeling disease, and performing drug screening. Recently a variety of genetic tools have been introduced, including multiple strategies for inducing mutations and generating transgenic lines. However, large-scale screening is limited by traditional genotyping methods, which are time-consuming and labor-intensive. Here we describe a technique to analyze zebrafish genotypes by PCR combined with high-resolution melting analysis (HRMA). This approach is rapid, sensitive, and inexpensive, with lower risk of contamination artifacts. Genotyping by PCR with HRMA can be used for embryos or adult fish, including in high-throughput screening protocols.     

Detection and Genotyping of Human Papillomavirus in Urine Samples from Unvaccinated Male and Female Adolescents in Italy

The introduction of vaccination against Human Papillomavirus (HPV) in adolescent girls in 2006 has focused virological surveillance on this age group. As few studies have evaluated HPV infections in young populations, further data are needed in order to improve and extend prophylactic policy and to monitor epidemiological changes. The present study aimed at evaluating overall and type-specific HPV prevalence in both female and male adolescents in Italy. HPV DNA detection and genotyping was performed on urine samples collected from 870 unvaccinated adolescents (369 females, 501 males, 11-18 years of age) in five cities in Italy. Following DNA extraction by means of a commercial kit (NucliSENS^®-miniMAG^®, bioMérieux), the L1 gene fragment was PCR amplified and genotyped by restriction fragment length polymorphism analysis. HPV DNA was detected in 1.5% of all samples, and in 3% and 0.4% of samples from females and males, respectively. In approximately 70% of HPV DNA positive adolescents, the infection was due to a single genotype, with 88.9% of genotypes belonging to the HR-clade. The only two HPV-positive boys (14 and 18 years old) had HPV-70 genotype. Only one of the 11 HPV-infected girls was in the 11-14 age-group. HPV prevalence was 4.2% in girls aged 15-18 years and 60% of infections were due to vaccine types HPV-16 or HPV-6/-11. This is one of the few studies, the first conducted in Italy, on HPV infection in adolescents. Urine testing is the easier way of detecting HPV infection in younger populations. Our data revealed a very low HPV prevalence, and no infections were observed in the 12-year-old vaccine target population. The majority of infections were seen in females aged 15-18 years. Overall, more than 50% and 30% of the potentially persistent HPV infections detected in this group could have been prevented by the quadrivalent and the bivalent vaccines, respectively.