The use of denaturing high-performance liquid chromatography (DHPLC) for the analysis of genetic variations: impact for diagnostics and pharmacogenetics

Methods for exploring the faecal microbiome of premature infants: a review

The premature infant gut microbiome plays an important part in infant health and development, and recognition of the implications of microbial dysbiosis in premature infants has prompted significant research into these issues. The approaches to designing investigations into microbial populations are many and varied, each with its own benefits and limitations. The technique used can influence results, contributing to heterogeneity across studies. This review aimed to describe the most common techniques used in researching the preterm infant microbiome, detailing their various limitations. The objective was to provide those entering the field with a broad understanding of available methodologies, so that the likely effects of their use can be factored into literature interpretation and future study design. We found that although many techniques are used for characterising the premature infant microbiome, 16S rRNA short amplicon sequencing is the most common. 16S rRNA short amplicon sequencing has several benefits, including high accuracy, discoverability and high throughput capacity. However, this technique has limitations. Each stage of the protocol offers opportunities for the injection of bias. Bias can contribute to variability between studies using 16S rRNA high throughout sequencing. Thus, we recommend that the interpretation of previous results and future study design be given careful consideration.

Analysis of Genetic Variations of Lamin A/C Gene (LMNA) by Denaturing High-Performance Liquid Chromatography

The human LMNA gene, when mutated, has been shown to cause at least 7 human diseases: dilated cardiomyopathy, Emery Dreifuss muscular dystrophy, limb girdle muscular dystrophy, familial partial lipodystrophy, Charcot Marie tooth disease type II, mandibuloacral dysplasia, and Hutchinson-Gilford Progeria (OMIM #176670). This article describes a high-throughput method for screening the human lamin A/C ( LMNA) gene for genetic mutations and sequence variation using denaturing high-performance liquid chromatography (DHPLC). In the present study, 76 patients with dilated cardiomyopathy were screened for mutations using DHPLC and sequence analysis. Abnormal elution profiles were identified and sequenced on an ABI 377 automatic sequencer. Heterozygous LMNA mutations were detected in 8% of the affected patients. In addition, a number of intronic and exonic single nucleotide polymorphisms were identified. LMNA mutations are clinically relevant in at least 6 human diseases. This study provides a protocol for high-throughput LMNA analysis applicable both in the research and in the clinical diagnostic setting.

A multi-parametric workflow for the prioritization of mitochondrial DNA variants of clinical interest

Assigning a pathogenic role to mitochondrial DNA (mtDNA) variants and unveiling the potential involvement of the mitochondrial genome in diseases are challenging tasks in human medicine. Assuming that rare variants are more likely to be damaging, we designed a phylogeny-based prioritization workflow to obtain a reliable pool of candidate variants for further investigations. The prioritization workflow relies on an exhaustive functional annotation through the mtDNA extraction pipeline MToolBox and includes Macro Haplogroup Consensus Sequences to filter out fixed evolutionary variants and report rare or private variants, the nucleotide variability as reported in HmtDB and the disease score based on several predictors of pathogenicity for non-synonymous variants. Cutoffs for both the disease score as well as for the nucleotide variability index were established with the aim to discriminate sequence variants contributing to defective phenotypes. The workflow was validated on mitochondrial sequences from Leber’s Hereditary Optic Neuropathy affected individuals, successfully identifying 23 variants including the majority of the known causative ones. The application of the prioritization workflow to cancer datasets allowed to trim down the number of candidate for subsequent functional analyses, unveiling among these a high percentage of somatic variants. Prioritization criteria were implemented in both standalone (http://sourceforge.net/projects/mtoolbox/) and web version (https://mseqdr.org/mtoolbox.php) of MToolBox.

Integration of gene expression and DNA-methylation profiles improves molecular subtype classification in acute myeloid leukemia

Background

Acute Myeloid Leukemia (AML) is characterized by various cytogenetic and molecular abnormalities. Detection of these abnormalities is important in the risk-classification of patients but requires laborious experimentation. Various studies showed that gene expression profiles (GEP), and the gene signatures derived from GEP, can be used for the prediction of subtypes in AML. Similarly, successful prediction was also achieved by exploiting DNA-methylation profiles (DMP). There are, however, no studies that compared classification accuracy and performance between GEP and DMP, neither are there studies that integrated both types of data to determine whether predictive power can be improved.

Approach

Here, we used 344 well-characterized AML samples for which both gene expression and DNA-methylation profiles are available. We created three different classification strategies including early, late and no integration of these datasets and used them to predict AML subtypes using a logistic regression model with Lasso regularization.

Results

We illustrate that both gene expression and DNA-methylation profiles contain distinct patterns that contribute to discriminating AML subtypes and that an integration strategy can exploit these patterns to achieve synergy between both data types. We show that concatenation of features from both data sets, i.e. early integration, improves the predictive power compared to classifiers trained on GEP or DMP alone. A more sophisticated strategy, i.e. the late integration strategy, employs a two-layer classifier which outperforms the early integration strategy.

Conclusion

We demonstrate that prediction of known cytogenetic and molecular abnormalities in AML can be further improved by integrating GEP and DMP profiles.

Mitochondrial DNA genotyping efficiently reveals clonality of synchronous endometrial and ovarian cancers

Simultaneous independent primary tumors of the female genital tract occur in 1-2% of gynecological cancer patients, 50-70% of which are synchronous tumors of the endometrium and ovary. Recognition of synchrony upon multiple tumors is crucial for correct prognosis, therapeutic choice, and patient management. Current guidelines for determining synchrony, based on surgical and histopathological findings, are often ambiguous and may require further molecular analyses. However, because of the uniqueness of each tumor and of its intrinsic heterogeneity, these analyses may sometimes be inconclusive. A role for mitochondrial DNA genotyping was previously demonstrated in the diagnosis of synchronous endometrial and ovarian carcinoma. We have analyzed 11 sample pairs of simultaneously revealed endometrial and ovarian cancers and have thereby applied conventional histopathological criteria, current molecular analyses (microsatellite instability, β-catenin immunohistochemical staining/CTNNB1 mutation screening), and mitochondrial DNA sequencing to distinguish separate independent tumors from metastases, comparing the performance and the informative potential of such methods. We have demonstrated that in ambiguous interpretations where histopathological criteria and canonical molecular methods fail to be conclusive, mitochondrial DNA analysis may act as a needle of balance and allow to formulate a diagnosis in 45.5% of our cases. Additional advantages of mitochondrial DNA genotyping, besides the high level of information we demonstrated here, are the easy implementation and the need for small amounts of starting material. Our results show that mitochondrial DNA genotyping may provide a substantial contribution to indisputably recognize the metastatic nature of simultaneously detected endometrial and ovarian cancers and may change the final staging and clinical management of these patients.

CXCL12-G801A polymorphism modulates risk of colorectal cancer in Taiwan

INTRODUCTION

The chemokine CXCL12, designated stromal cell-derived factor-1 (SDF-1), plays a significant role in many cancer metastases. Previous studies have shown that CXCL12-G801A, a single nucleotide polymorphism (SNP) in the 3' untranslated region, correlates with breast and lung cancer in Iran. The aim of this study was to evaluate the association of the gene variant CXCL12-G801A with colorectal cancer (CRC) in a Taiwanese cohort.

MATERIAL AND METHODS

In this study, we used a denaturing high performance liquid chromatography (DHPLC) method to analyze the frequencies of CXCL12-G801A polymorphic variants between CRC patients (n = 258) and healthy controls (n = 300) in Taiwan.

RESULTS

The SNP distribution was higher in CRC patients with TNM stage II (117/258) than healthy controls (52/300). We observed a significant increase in the G/A plus A/A genotype of the CXCL12-G801A polymorphism in CRC patients (45.35%) compared with healthy controls (17.33%). The analysis of allelic frequencies in both groups revealed that CRC patients have a higher frequency of A allele (23.45%) than healthy controls (8.67%). Furthermore, among older CRC patients, the frequency of the CXCL12-G801A genotype was significantly increased (p = 0.0148).

CONCLUSIONS

Our observations suggest that the CXCL12-G801A genotype may be associated with some clinical manifestations in CRC patients in Taiwan.

Potential involvement of GRIN2B encoding the NMDA receptor subunit NR2B in the spectrum of Alzheimer's disease

Increasing evidence links dysregulation of NR2B-containing N-methyl-D-aspartate receptor remodelling and trafficking to Alzheimer's disease (AD). This theme offers the possibility that the GRIN2B gene, encoding this selective NR2B subunit, represents a potential molecular modulating factor for this disease. Based on this hypothesis, we carried out a mutation scanning of exons and flanking regions of GRIN2B in a well-characterized cohort of AD patients, recruited from Southern Italy. A "de novo" p.K1293R mutation, affecting a highly conserved residue of the protein in the C-terminal domain, was observed for the first time in a woman with familial AD, as the only genetic alteration of relevance. Moreover, an association study between the other detected sequence variants and AD was performed. In particular, the study was focused on five identified single nucleotide polymorphisms: rs7301328, rs1805482, rs3026160, rs1806191 and rs1806201, highlighting a significant contribution from the GRIN2B rs1806201 T allele towards disease susceptibility [adjusted odds ratio (OR) = 1.92, 95% confidence interval (CI) 1.40-2.63, p < 0.001, after correction for sex, age, and APOE ε4 genotype]. This was confirmed by haplotype analysis that identified a specific haplotype, carrying the rs1806201 T allele (CCCTC), over-represented in patients versus controls (adjusted OR = 6.03; p < 0.0001). Although the pathogenic role of the GRIN2B-K1293R mutation in AD is not clear, our data advocate that genetic variability in the GRIN2B gene, involved in synaptic functioning, might provide valuable insights into disease pathogenesis, continuing to attract significant attention in biomedical research on its genetic and functional role.

Denaturing high-performance liquid chromatography for mutation detection and genotyping

Denaturing high-performance liquid chromatography (DHPLC) is an accurate and efficient screening technique used for detecting DNA sequence changes by heteroduplex analysis. It can also be used for genotyping of single nucleotide polymorphisms (SNPs). The high sensitivity of DHPLC has made this technique one of the most reliable approaches to mutation analysis and, therefore, used in various areas of genetics, both in the research and clinical arena. This chapter describes the methods used for mutation detection analysis and the genotyping of SNPs by DHPLC on the WAVE™ system from Transgenomic Inc. ("WAVE" and "DNASep" are registered trademarks, and "Navigator" is a trademark, of Transgenomic, used with permission. All other trademarks are property of the respective owners).

Searching for a needle in the haystack: comparing six methods to evaluate heteroplasmy in difficult sequence context

Mitochondrial DNA (mtDNA) mutations have been involved in disease, aging and cancer and furthermore exploited for evolutionary and forensic investigation. When investigating mtDNA mutations the peculiar aspects of mitochondrial genetics, such as heteroplasmy and threshold effect, require suitable approaches which must be sensitive enough to detect low-level heteroplasmy and, precise enough to quantify the exact mutational load. In order to establish the optimal approach for the evaluation of heteroplasmy, six methods were experimentally compared for their capacity to reveal and quantify mtDNA variants. Drawbacks and advantages of cloning, Fluorescent PCR (F-PCR), denaturing High Performance Liquid Chromatography (dHPLC), quantitative Real-Time PCR (qRTPCR), High Resolution Melting (HRM) and 454 pyrosequencing were determined. In particular, detection and quantification of a mutation in a difficult sequence context were investigated, through analysis of an insertion in a homopolymeric stretch (m.3571insC).

Genetic variability of the fructosamine 3-kinase gene in diabetic patients

BACKGROUND

Nonenzymatic glycation appears to be an important factor in the pathogenesis of diabetic complications. Fructosamine 3-kinase (FN3K), initially identified in erythrocytes, appears to be responsible for the removal of fructosamine from proteins, suggesting a protective role in nonenzymatic glycation. Recently, genetic variants in the FN3K gene have been studied in diabetic patients. The aim of our study was the molecular characterization of the FN3K gene in a representative group of Italian patients with type 1 (T1DM) and 2 (T2DM) diabetes mellitus and in a cohort of healthy controls.

METHODS

Seventy diabetic subjects (35 type 1 and 35 type 2) with stable glycemic control and 33 healthy control subjects were evaluated using PCR and direct sequencing of the FN3K gene. Denaturing high performance liquid chromatography (DHPLC) was used in controls for screening for the presence of the genetic variants previously found in diabetic patients.

RESULTS

Seven different genetic variants were identified, five of them already reported and two new: the p.R187X and p.Y239C mutations identified in two females affected by T2DM. No significant association was found between certain polymorphisms and diabetes conditions. Preliminary haplotype studies are also reported. With respect to genotypes, we noted that some were not present in all the investigated cohort, and some were found related to higher glycated hemoglobin compared to others, although not at a significant level, probably because of the small number of subjects investigated.

CONCLUSIONS

In conclusion, this study identified two new mutations and additional variants within the FN3K gene. This is the first study on FN3K in Italy. Future work is needed to achieve a better understanding of the FN3K enzyme and its possible clinical utility in the management of diabetic patients.

IDH1 and IDH2 mutations are frequent genetic alterations in acute myeloid leukemia and confer adverse prognosis in cytogenetically normal acute myeloid leukemia with NPM1 mutation without FLT3 internal tandem duplication

PURPOSE

To analyze the frequency and prognostic impact of isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) mutations in acute myeloid leukemia (AML).

PATIENTS AND METHODS

We studied 805 adults (age range, 16 to 60 years) with AML enrolled on German-Austrian AML Study Group (AMLSG) treatment trials AML HD98A and APL HD95 for mutations in exon 4 of IDH1 and IDH2. Patients were also studied for NPM1, FLT3, MLL, and CEBPA mutations. The median follow-up for survival was 6.3 years.

RESULTS

IDH mutations were found in 129 patients (16.0%) -IDH1 in 61 patients (7.6%), and IDH2 in 70 patients (8.7%). Two patients had both IDH1 and IDH2 mutations. All but one IDH1 mutation caused substitutions of residue R132; IDH2 mutations caused changes of R140 (n = 48) or R172 (n = 22). IDH mutations were associated with older age (P < .001; effect conferred by IDH2 only); lower WBC (P = .04); higher platelets (P < .001); cytogenetically normal (CN) -AML (P< .001); and NPM1 mutations, in particular with the genotype of mutated NPM1 without FLT3 internal tandem duplication (ITD; P < .001). In patients with CN-AML with the latter genotype, IDH mutations adversely impacted relapse-free survival (RFS; P = .02) and overall survival (P = .03), whereas outcome was not affected in patients with CN-AML who lacked this genotype. In CN-AML, multivariable analyses revealed a significant interaction between IDH mutation and the genotype of mutated NPM1 without FLT3-ITD (ie, the adverse impact of IDH mutation [RFS]; P = .046 was restricted to this patient subset).

CONCLUSION

IDH1 and IDH2 mutations are recurring genetic changes in AML. They constitute a poor prognostic factor in CN-AML with mutated NPM1 without FLT3-ITD, which allows refined risk stratification of this AML subset.

Validation of dot blot hybridization and denaturing high performance liquid chromatography as reliable methods for TP53 codon 72 genotyping in molecular epidemiologic studies

Background

Mutations in TP53 are common events during carcinogenesis. In addition to gene mutations, several reports have focused on TP53 polymorphisms as risk factors for malignant disease. Many studies have highlighted that the status of the TP53 codon 72 polymorphism could influence cancer susceptibility. However, the results have been inconsistent and various methodological features can contribute to departures from Hardy-Weinberg equilibrium, a condition that may influence the disease risk estimates. The most widely accepted method of detecting genotyping error is to confirm genotypes by sequencing and/or via a separate method.

Results

We developed two new genotyping methods for TP53 codon 72 polymorphism detection: Denaturing High Performance Liquid Chromatography (DHPLC) and Dot Blot hybridization. These methods were compared with Restriction Fragment Length Polymorphism (RFLP) using two different restriction enzymes. We observed high agreement among all methodologies assayed. Dot-blot hybridization and DHPLC results were more highly concordant with each other than when either of these methods was compared with RFLP.

Conclusions

Although variations may occur, our results indicate that DHPLC and Dot Blot hybridization can be used as reliable screening methods for TP53 codon 72 polymorphism detection, especially in molecular epidemiologic studies, where high throughput methodologies are required.

Application of denaturing high-performance liquid chromatography in microbial ecology: fermentor sludge, compost, and soil community profiling

Genetic fingerprinting methods, such as denaturing gradient gel electrophoresis (DGGE), are used in microbial ecology for the analysis of mixed microbial communities but are associated with various problems. In the present study we used a new alternative method: denaturing high-performance liquid chromatography (dHPLC). This method was previously shown to work with samples from water and gut flora but had not yet been applied to complex environmental samples. In contrast to other publications dealing with dHPLC, we used a commonly available HPLC system. Samples from different origins (fermentor sludge, compost, and soil), all ecologically significant, were tested, and the 16S rRNA gene was amplified via PCR. After optimization of the HPLC elution conditions, amplicons of pure cultures and mixed microbial populations could be separated successfully. Systematic differentiation was carried out by a cloning approach, since fraction collection of the peaks did not result in satisfactory fragment separation. dHPLC was evaluated as a tool for microbial community analysis on a genetic level and demonstrated major improvements compared to gel-based fingerprinting methods, such as DGGE, that are commonly used in microbial ecology.

Novel single nucleotide polymorphism of the VEGF gene as a risk predictor for gastroduodenal ulcers

BACKGROUND AND AIM

The gastroduodenal ulcer (GDU) mostly develops on the lesser curvature side of stomach and the anterior wall of duodenal bulb, irrespective of the etiologies including Helicobacter pylori infection, non-steroidal anti-inflammatory drugs, alcohol, etc. However, a clear explanation as to why ulcers are prevalent in these areas has still not been given. The current study was designed to evaluate whether the vascular endothelial growth factor (VEGF) polymorphism could predict susceptibility to GDU through deranged angiogenic activities.

METHODS

A large scale case-control study based on known single nucleotide polymorphisms (SNP) of VEGF and another case control study based on the novel SNP of VEGF was performed through the SNP-IT assay using the SNP stream 25 k system. A site-directed mutagenesis and functional assay was executed to document the biological effect of a novel VEGF SNP on angiogenesis.

RESULTS

Even though the case-control study between non-ulcer dyspepsia (NUD) and gastric ulcer (GU) patients was done in 10 SNP of the VEGF gene including -2488C/T, -634G/C, -7C/T, 3436G/C, 6112C/A, 6894C/T, 9374G/A, 9812C/T, 13128C/T, and 13553C/T, the analysis showed no statistically significant association between NUD and GU. Denaturing high-performance liquid chromatography analysis could identify two novel SNP of the VEGF gene, -1780T/C and IVS-99 G/C, among which -1780T/C showed a very strong association between NUD and GDU, presenting with OR=2.93 on codominant analysis (P<0.001), OR=8.62 on dominant analysis (P<0.001), and OR=3.21 on recessive analysis (P<0.001). The promoter assay using a site-directed mutagenesis and in vitro angiogenesis assay showed repressed transcription of the VEGF gene in gastric epithelial cells and defective tube formation in endothelial cells, both transfected with a plasmid containing -1780C/C mutant of VEGF gene.

CONCLUSION

The novel VEGF polymorphism -1780T/C could significantly predict the predisposition to GDU after the exposure to etiologic risks, based on defective angiogenic activity.

Diagnosis of BSEP/ABCB11 mutations in Asian patients with cholestasis using denaturing high performance liquid chromatography

OBJECTIVE

To determine if specific mutations were present in Asian patients with progressive familial intrahepatic cholestasis (PFIC) type 2 caused by defects in bile salt export pump (BSEP), encoded by ABCB11.

STUDY DESIGN

A combination of denaturing high-performance liquid chromatography (DHPLC) and direct sequencing was used to screen ABCB11 mutations in 18 Taiwanese patients with low gamma-glutamyltransferase PFIC or benign recurrent intrahepatic cholestasis (BRIC). Polymorphisms were also analyzed in patients with PFIC (n = 21), neonatal cholestasis (n = 23), and control subjects (n = 88).

RESULTS

Seven mutations in 4 of 16 patients with PFIC from different families were detected by DHPLC, including M183V, V284L, R303K, R487H, W493X, G1004D, and 1145delC. G1004D was found in a patient with BRIC. L827I was found in another patient with neonatal cholestasis. Absent or defective BSEP staining was found in the liver of patients with mutations. Polymorphisms V444A and A865V, with an allele frequencies 75.6% and 0.6%, respectively, were found in our population. No differences were found between patients with cholestasis and control subjects.

CONCLUSIONS

One-fourth of Taiwanese patients with PFIC/BRIC had compound heterozygous or single heterozygous ABCB11 mutations without hot spots. All of the mutations were different from those detected in Western countries.

DHPLC analysis of adenomatous polyposis coli (APC) mutations using ready-to-use APC plates: simple detection of multiple base pair deletion mutations

The adenomatous polyposis coli (APC), which is the susceptible gene for familial adenomatous polyposis (FAP) and sporadic colorectal cancer, spans 15 exons. The open reading frame of APC is 8529 bp, which encodes 2843 amino acids. Conventional genetic screening involves extensive time as well as high cost and labor. Thus, we developed a novel APC ready-to-use plate for high-throughput mutational analysis by denaturing high performance liquid chromatography (DHPLC). To prepare the ready-to-use APC plate, all 38 primer pairs and PCR mixtures were aliquoted into individual wells of a 96-well plate, and frozen at -20 degrees C until use. All 38 PCR primers were designed to be amplified at the same temperature (52 degrees C). We examined a total of 27 FAP patient samples with APC germline mutations (17 for multiple bp deletions, 1 for 1 bp deletion, 9 for nonsense mutations) and 50 APC-negative noncarriers. All 17 multiple bp deletion mutations were detected during the initial 50 degrees C running analysis and thus ruled out for further analyses. All other mutations were clearly detected under specific optimized conditions. More than 50% of the APC germline mutations were multiple base pair deletions and efficiently selected by omitting time-consuming partial denaturing conditions.

Development of a simple and highly sensitive mutation screening system by enzyme mismatch cleavage with optimized conditions for standard laboratories

Efficient screening of unknown DNA variations is one of the substantive matters of molecular biology even today. Historically, SSCP and heteroduplex analysis (HA) are the most commonly used methods for detecting DNA variations everywhere in the world because of their simplicity. However, the sensitivity of these methods is not satisfactory for screening purpose. Recently, several new PCR-based mutation screening methods have been developed, but most of them require special instruments and adjustment of conditions for each DNA sequence to attain the maximum sensitivity, eventually becoming as inconvenient as old methods. Enzyme mismatch cleavage (EMC) is potentially an ideal screening method. With high-performance nucleases and once experimental conditions are optimized, it requires only conventional staff and conditions remain the same for each PCR product. In this study we tested four commercially available endonucleases for EMC and optimized the electrophoresis and developing conditions. We prepared 25 known DNA variations consisting of 18 single base substitutions (8 transitions and 10 transversions, including all possible sets of mismatches) and 7 small deletions or insertions. The combination of CEL nuclease, 12% PAGE and rapid silver staining can detect all types of mutations and achieved 100% sensitivity.

Wilms' tumor 1 gene mutations independently predict poor outcome in adults with cytogenetically normal acute myeloid leukemia: a cancer and leukemia group B study

PURPOSE

To analyze the prognostic impact of Wilms' tumor 1 (WT1) gene mutations in cytogenetically normal acute myeloid leukemia (CN-AML). PATIENTS AND METHODS We studied 196 adults younger than 60 years with newly diagnosed primary CN-AML, who were treated similarly on Cancer and Leukemia Group B (CALGB) protocols 9621 and 19808, for WT1 mutations in exons 7 and 9. The patients also were assessed for the presence of FLT3 internal tandem duplications (FLT3-ITD), FLT3 tyrosine kinase domain mutations (FLT3-TKD), MLL partial tandem duplications (MLL-PTD), NPM1 and CEBPA mutations, and for the expression levels of ERG and BAALC.

RESULTS

Twenty-one patients (10.7%) harbored WT1 mutations. Complete remission rates were not significantly different between patients with WT1 mutations and those with unmutated WT1 (P = .36; 76% v 84%). Patients with WT1 mutations had worse disease-free survival (DFS; P < .001; 3-year rates, 13% v 50%) and overall survival (OS; P < .001; 3-year rates, 10% v 56%) than patients with unmutated WT1. In multivariable analyses, WT1 mutations independently predicted worse DFS (P = .009; hazard ratio [HR] = 2.7) when controlling for CEBPA mutational status, ERG expression level, and FLT3-ITD/NPM1 molecular-risk group (ie, FLT3-ITD(negative)/NPM1(mutated) as low risk v FLT3-ITD(positive) and/or NPM1(wild-type) as high risk). WT1 mutations also independently predicted worse OS (P < .001; HR = 3.2) when controlling for CEBPA mutational status, FLT3-ITD/NPM1 molecular-risk group, and white blood cell count.

CONCLUSION

We report the first evidence that WT1 mutations independently predict extremely poor outcome in intensively treated, younger patients with CN-AML. Future trials should include testing for WT1 mutations as part of molecularly based risk assessment and risk-adapted treatment stratification of patients with CN-AML.

A comparison of CDKN2A mutation detection within the Melanoma Genetics Consortium (GenoMEL)

CDKN2A is the major melanoma susceptibility gene so far identified, but only 40% of three or more case families have identified mutations. A comparison of mutation detection rates was carried out by "blind" exchange of samples across GenoMEL, the Melanoma Genetics Consortium, to establish the false negative detection rates. Denaturing high performance liquid chromatography (DHPLC) screening results from 451 samples were compared to screening data from nine research groups in which the initial mutation screen had been done predominantly by sequencing. Three samples with mutations identified at the local centres were not detected by the DHPLC screen. No additional mutations were detected by DHPLC. Mutation detection across groups within GenoMEL is carried out to a consistently high standard. The relatively low rate of CDKN2A mutation detection is not due to failure to detect mutations and implies the existence of other high penetrance melanoma susceptibility genes.

Identification of 8 Foodborne Pathogens by Multicolor Combinational Probe Coding Technology in a Single Real-Time PCR

Background: Real-time PCR assays have been widely used for detecting foodborne pathogens but have been much less frequently applied in species identification, mainly because of the low number of species they can distinguish in 1 reaction. The present study used a new probe coding/labeling strategy, termed multicolor combinational probe coding (MCPC), to increase the number of targets that can be distinguished in a single real-time PCR for rapid and reliable species identification.

Methods: With MCPC, 8 pairs of species-specific tagged primers, 1 pair of universal primers, and 8 unilabeled or mix-labeled molecular beacon probes were included in a single reaction tube. Real-time PCR was performed, and the identity of each of the 8 pathogens was determined by amplification profile comparison. The method was validated via blind assessment of 118 bacterial strains, including clinical isolates and isolates from food products.

Results: The blind test with 118 samples gave no false-positive or -negative results for the target genes. The template DNA suitable for MCPC analysis was simply prepared by heating lysis, and the total PCR analysis was finished within 2.5 h, excluding template preparation.

Conclusions: MCPC is suitable for rapid and reliable identification of foodborne pathogens at the species level.

Is there a role for PCR-SSCP among the methods for missense mutation detection of TP53 gene?

Mutation analysis methods have increased in variety during the past years. High-throughput microarray methods have especially increased in popularity. However, new methods require reference points, and not all of the methods are equal in sensitivity and specificity. Furthermore, the detection of unknown missense mutations, such as unknown TP53 mutations in human tumors, for clinical purposes requires great accuracy, which may be difficult to acquire with the current high-throughput methods. For these reasons, the classical methods, such as PCR-manual sequencing and PCR-SSCP, are still valuable and necessary.

Molecular monitoring of the intestinal flora by denaturing high performance liquid chromatography

Gut flora analysis is hampered by the complexity of the intestinal microbiota and by inherent limitations of culture-based approaches. Therefore, culture-independent molecular methods based upon 16S rRNA gene analysis were applied successfully for the analysis of complex microbial communities. However, generally accepted and validated profiling methods such as denaturing and temperature gradient gel electrophoresis (DGGE/TGGE) are still laborious and time consuming. Thus, we adapted the separation of amplified bacterial 16S rRNA gene fragments by denaturing high performance liquid chromatography (DHPLC) using the WAVE Microbial Analysis System as a rapid and convenient means to display complex intestinal bacterial communities and to monitor changes in the gut flora. The separation of 16S rRNA gene fragments amplified from reference strains representing main gut bacterial populations and from human stool samples revealed that DHPLC analysis effectively detects bacterial groups predominant in the human gut flora. The investigation of faecal samples from hospitalized patients before, during and after antibiotic therapy showed that PCR-based DHPLC can be used to monitor gut flora changes. Results from DHPLC analysis were comparable with DGGE profiles generated from the same samples, demonstrating that the adapted DHPLC protocol is well suited for the analysis of complex microbial communities.

Detection of Epidermal Growth Factor Receptor Variations by Partially Denaturing HPLC

Background: Epidermal growth factor receptor gene (EGFR) variants may be useful markers for identifying responders to gefitinib and erlotinib, small-molecule tyrosine kinase inhibitors of EGFR; therefore, sensitive and cost-effective assays are needed to detect EGFR variants in routine clinical samples. We have developed a partially denaturing HPLC (pDHPLC) assay that is superior to direct sequencing with respect to detection limits, costs, and time requirements.

Methods: Primers, temperatures, and buffer conditions were optimized for PCR-pDHPLC analysis of EGFR exons 18–21. We evaluated the detection limits of pDHPLC and direct sequencing by analyzing mixtures of wild-type and variant EGFR DNA and screened 192 lung cancer samples to examine the diversity of pDHPLC-detectable variants. To assess amenability to routine analysis, we tested lung and pleural tissue specimens from 14 lung cancer patients treated with gefitinib.

Results: The detection limits for variant alleles were 1:100 for pDHPLC and 1:5 for direct sequencing. pDHPLC analysis detected 26 unique EGFR variants, including the common deletions in exon 19 and substitutions in codons 787 and 858. Direct sequencing could not identify 30% (18 of 60) of the variant amplicons identified by pDHPLC. We identified these 18 amplicons by fraction collection after pDHPLC analysis. Analysis of a limited series of lung biopsy samples detected EGFR variants more frequently in gefitinib responders than in nonresponders. pDHPLC analysis was 56% less expensive and 39% faster than direct sequencing.

Conclusions: pDHPLC-based analysis detects EGFR variations in routine clinical samples with a better detection limit and lower cost and time requirement than direct sequencing.

Mutation analysis of five candidate genes in familial breast cancer

Most of the known breast cancer susceptibility genes (BRCA1, BRCA2, CHEK2 and ATM) are involved in the damage response pathway. Other members of this pathway are therefore good candidates for additional breast cancer susceptibility genes. ATR, along with ATM, plays a central role in DNA damage recognition and Chk1 relays checkpoint signals from both ATR and ATM. PPP2R1B and PPP2R5B code for subunits of protein phosphatase 2A (PP2A), which regulates autophosphorylation of ATM. In addition, EIF2S6/Int-6, which was originally identified as a common integration site for the mouse mammary tumour virus in virally induced mouse mammary tumours, is a candidate breast cancer susceptibility gene because of its putative role in maintaining chromosome stability. To investigate the role of ATR, CHK1, PPP2R1B, PPP2R5B and EIF2S6/Int-6, we carried out mutation analysis of these genes in the index cases from non-BRCA1/BRCA2 breast cancer families. We also screened sporadic breast tumours for somatic mutations in PPP2R1B and PPP2R5B. Although we identified many novel variants, we found no evidence that highly penetrant germline mutations in these five genes contribute to familial breast cancer susceptibility.

Rapid detection of CAA/CAG repeat polymorphism in the AIB1 gene using DHPLC

Denaturing high-performance liquid chromatography (DHPLC) has been used for rapid and accurate DNA mutation analysis; to extend the DNA fragment lengths analysis. Recently, polymorphism in polyglutamine-coding region of Amplified In Breast cancer gene 1 (AIB1) was analyzed as an independent genetic risk factor influencing breast cancer onset in carriers of mutation in breast cancer predisposing gene 1 (BRCA1). We have implemented efficient, cost-effective and rapid method for analysis of the AIB1 polyglutamine repeat polymorphism based on DHPLC analysis (WAVE system) of unlabeled PCR products. This strategy can be useful for genotyping of other trinucleotide repeat polymorphisms using DHPLC in medium/high throughput settings.

The potential of electrophoretic mobility shift assays for clinical mutation detection

As the understanding of the links between genetic mutations and diseases continues to grow, there is an increasing need for techniques that can rapidly, inexpensively, and sensitively detect DNA sequence alterations. Typically, such analyses are performed on PCR-amplified gene regions. Automated DNA sequencing by capillary array electrophoresis can be used, but is expensive to apply to large numbers of patient samples and/or large genes, and may not always reveal low-abundance mutations in heterozygous samples. Many different types of genetic differences need to be detected, including single-base substitutions and larger sequence alterations such as insertions, deletions, and inversions. Electrophoretic mobility shift assays seem well suited to this purpose and could be used for the efficient screening of patient samples for sequence alterations, effectively reducing the number of samples that must be subjected to full and careful sequencing. While there is much promise, many of the mobility shift assays presently under development have yet to be demonstrated to have the high sensitivity and specificity of mutation detection required for routine clinical application. Hence, further studies and optimization are required, in particular the application of these methods not only to particular genes but also to large numbers of patient samples in blinded studies aimed at the rigorous determination of sensitivity and specificity. This review examines the state-of-the-art of the most commonly used mobility shift assays for mutation detection, including denaturing gradient gel electrophoresis, TGGE, SSCP, heteroduplex analysis, and denaturing HPLC.

A new detection method for ATRX gene mutations using a mismatch-specific endonuclease

X-linked alpha-thalassemia/mental retardation syndrome (ATR-X, OMIM 301040) is a syndromic form of X-linked mental retardation (XLMR). It is caused by a mutation in the ATRX gene, which is also involved in other syndromic forms of XLMR as well as in non-syndromic XLMR, both in males and in females. To analyze the full range of disease-causing mutations for genetic counseling and to establish phenotype-genotype correlations, we have established a new screening method for mutations in the ATRX gene, which uses mismatch-specific endonuclease. We applied this method to confirm 13 known mutations in our patients, some of which have been difficult to be demonstrated by conventional denaturing high-performance liquid chromatography. Furthermore, we found four additional mutations in four ATR-X patients whose clinical diagnosis had not been confirmed at the molecular level. In this method, experimental conditions do not need to be altered depending on mutation sites, and it should be the alternative method for mutation screening.

Adverse Prognostic Significance ofKITMutations in Adult Acute Myeloid Leukemia With inv(16) and t(8;21): A Cancer and Leukemia Group B Study

Purpose

To analyze the prognostic impact of mutated KIT (mutKIT) in core-binding factor acute myeloid leukemia (AML) with inv(16)(p13q22) and t(8;21)(q22;q22).

Patients and Methods

Sixty-one adults with inv(16) and 49 adults with t(8;21), assigned to postremission therapy with repetitive cycles of higher dose cytarabine were analyzed for mutKIT in exon 17 (mutKIT17) and 8 (mutKIT8) by denaturing high-performance liquid chromatography and direct sequencing at diagnosis. The median follow-up was 5.3 years.

Results

Among patients with inv(16), 29.5% had mutKIT (16% with mutKIT17 and 13% with sole mutKIT8). Among patients with t(8;21), 22% had mutKIT (18% with mutKIT17 and 4% with sole mutKIT8). Complete remission rates of patients with mutKIT and wild-type KIT (wtKIT) were similar in both cytogenetic groups. In inv(16), the cumulative incidence of relapse (CIR) was higher for patients with mutKIT (P = .05; 5-year CIR, 56% v 29%) and those with mutKIT17 (P = .002; 5-year CIR, 80% v 29%) compared with wtKIT patients. Once data were adjusted for sex, mutKIT predicted worse overall survival (OS). In t(8;21), mutKIT predicted higher CIR (P = .017; 5-year CIR, 70% v 36%), but did not influence OS.

Conclusion

We report for the first time that mutKIT, and particularly mutKIT17, confer higher relapse risk, and both mutKIT17 and mutKIT8 appear to adversely affect OS in AML with inv(16). We also confirm the adverse impact of mutKIT on relapse risk in t(8;21) AML. We suggest that patients with core-binding factor AML should be screened for mutKIT at diagnosis for both prognostic and therapeutic purposes, given that activated KIT potentially can be targeted with novel tyrosine kinase inhibitors.

Use of denaturing high-performance liquid chromatography for rapid detection and identification of seven Candida species

A novel denaturing high-performance liquid chromatography (DHPLC)-based technique allows rapid high-resolution analysis of PCR products. We used this technique for unequivocal molecular identification of seven Candida species. We show the application of this PCR/DHPLC approach for direct detection and identification of yeast species from blood cultures and for detection of Candida colonization in the gastrointestinal tract of allogeneic transplant patients.

Genetic testing for pharmacogenetics and its clinical application in drug therapy

There is wide individual variation in drug responses and adverse effects. As the main causes of the variation in drug responses, attention has focused on the genetic polymorphisms that encode metabolic enzymes regulating pharmacodynamics and receptors modulating the affinity with the responsive sites. Tailor-made drug therapy analyzes genetic polymorphisms involved in drug responses before drug administration and selects drugs and doses suitable for the individual genetic background. Establishment of tailor-made drug therapy is expected to contribute to medical economy by avoiding wasteful drug administration. To promote such medical practice, it is necessary to use simple genetic testing that is clinically convenient. Currently, genetic testing using real-time PCR has been frequently employed at laboratories with its clinical application anticipated. As to the many genes involved in drug responses, to date, the application of patient genetic information to tailor-made drug therapy has been achieved at the practical level. Information on pharmacogenetics will be a critical factor in medical practice in the near future.

Rapid detection of clarithromycin resistance in Helicobacter pylori using a PCR-based denaturing HPLC assay

OBJECTIVES

We evaluated a new approach for the rapid detection of clarithromycin resistance in Helicobacter pylori, based on PCR and denaturing HPLC (DHPLC).

METHODS

A 180 bp fragment of the 23S rRNA gene was amplified using DNA from 81 clinical H. pylori isolates (51 isolates were shown to be resistant to clarithromycin by Etest), and, directly, from 101 gastric biopsies from patients with digestive diseases, who were infected with H. pylori as assessed by a 13C-urea breath test, histology and/or culture. DHPLC was used to detect mutations in all the PCR products.

RESULTS

DHPLC profiles for the 30 susceptible isolates all showed homoduplex peaks; the resistant isolates consistently generated heteroduplex peaks that were easily distinguishable from the wild-type H. pylori reference strain. Sequencing revealed point mutations in all the resistant isolates. Overall, five different mutations were detected. Four of these mutations (A2142G, A2142C, A2143G and T2182C) are known to be associated with clarithromycin resistance; the remaining mutation (C2195T) has not been previously described. This novel single-base substitution was found in combination with the common mutation A2143G. Of the biopsies tested, 25 specimens generated heteroduplexes due to sequence alterations (mutation A2142G, A2142C or A2143G). In one of these specimens, A2143G was found together with the novel mutation T2221C; in another, a mixture of wild-type and mutant (A2143G) sequences was detected. For 20 culture-positive out of the 25 biopsies DHPLC results confirmed the presence of clarithromycin resistance.

CONCLUSIONS

Our results suggest that the PCR-DHPLC assay is a valid tool for rapid assessment of clarithromycin resistance in H. pylori and that in the future it could be used directly on biopsy specimens, avoiding the need for culture-based methods.

Rapid detection of glucose-6-phosphate dehydrogenase gene mutations by denaturing high-performance liquid chromatography

OBJECTIVES

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is a common inherited disorder worldwide. Different kinds of G6PD mutations may result in variable severity of clinical onset in G6PD-deficient individuals. In this study, a reliable molecular diagnostic method was developed for rapid detection of G6PD gene mutation.

DESIGN AND METHODS

Primers were designed to amplify G6PD gene fragments that were subjected to mutation screening using denaturing high-performance liquid chromatography (DHPLC) analysis. Mutations were identified by their distinct elution peak patterns and were confirmed by DNA sequencing. The assay was further validated against 29 samples from individuals with G6PD deficiency.

RESULTS

A DHPLC-based assay for G6PD mutation detection was established. The 9 common G6PD mutations in the Taiwanese and Chinese population could be distinguished through the analysis of DNA elution patterns. During the validation test with the 29 G6PD deficiency specimens, two additional rare mutations, T517C and C519G, were unveiled. Overall, the DHPLC-based mutation detection was 100% concordant with the DNA sequencing results.

CONCLUSION

Compared to other genotyping techniques, this method requires significantly less technical time to perform and has a greatly increased throughput capacity. Hence, the DHPLC method represents a major technical advance for G6PD genotyping and should benefit G6PD-deficient individuals for proper clinical care.

Denaturing HPLC-based approach for detection of COL7A1 gene mutations causing dystrophic epidermolysis bullosa

Dystrophic epidermolysis bullosa (DEB) is a rare clinically heterogeneous genodermatosis due to genetic defects in type VII collagen gene (COL7A1). Identification of COL7A1 mutations is a challenge since this gene comprises 118 exons and more than 300 mutations scattered over the gene have been reported. Here, we describe for the first time the use of denaturing high performance liquid chromatography (DHPLC) for COL7A1 mutation detection. To validate the method, exon-specific DHPLC conditions were applied to screen DNA samples from patients carrying known COL7A1 mutations. Abnormal DHPLC profiles were obtained for all known mutations. Subsequent DHPLC analysis of 17 DEB families of unknown genotype allowed the identification of 21 distinct mutations, 9 of which were novel. The DHPLC mutation detection rate was significantly higher compared with our mutation scanning rate with conventional techniques (97% vs 86%), indicating DHPLC as the method of choice for COL7A1 molecular characterization in DEB patients.

Mutation analysis of FANCD2, BRIP1/BACH1, LMO4 and SFN in familial breast cancer

INTRODUCTION

Mutations in known predisposition genes account for only about a third of all multiple-case breast cancer families. We hypothesized that germline mutations in FANCD2, BRIP1/BACH1, LMO4 and SFN may account for some of the unexplained multiple-case breast cancer families.

METHODS

The families used in this study were ascertained through the Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer (kConFab). Denaturing high performance liquid chromatography (DHPLC) analysis of the coding regions of these four genes was conducted in the youngest affected cases of 30 to 267 non-BRCA1/2 breast cancer families. In addition, a further 399 index cases were also screened for mutations in two functionally significant regions of the FANCD2 gene and 253 index cases were screened for two previously reported mutations in BACH1 (p. P47A and p. M299I).

RESULTS

DHPLC analysis of FANCD2 identified six silent exonic variants, and a large number of intronic variants, which tagged two common haplotypes. One protein truncating variant was found in BRIP1/BACH1, as well as four missense variants, a silent change and a variant in the 3' untranslated region. No missense or splice site mutations were found in LMO4 or SFN. Analysis of the missense, silent and frameshift variants of FANCD2 and BACH1 in relatives of the index cases, and in a panel of controls, found no evidence suggestive of pathogenicity.

CONCLUSION

There is no evidence that highly penetrant exonic or splice site mutations in FANCD2, BRIP1/BACH1, LMO4 or SFN contribute to familial breast cancer. Large scale association studies will be necessary to determine whether any of the polymorphisms or haplotypes identified in these genes contributes to breast cancer risk.

Mutation detection using ligase chain reaction in passivated silicon-glass microchips and microchip capillary electrophoresis

The ligase chain reaction (LCR) following PCR is one of the most sensitive and specific methods for detecting mutations, especially single nucleotide polymorphisms (SNPs). Performing LCR in microchips remains a challenge because of the inhibitory effect of the internal surfaces of silicon-glass microchips. We have tested a dynamic polymer-based surface passivation method for LCR conducted in oxide-coated silicon-glass microchips. The combination of polyvinylpyrrolidone 40 (PVP-40) at 0.75% (w/v) with an excess of the ligase produced successful LCR in the silicon-glass microchips, with yields of ligated primers comparable to reactions performed in conventional reaction tubes. Ligated primers were detected and quantified simply and conveniently using microchip capillary electrophoresis.

Profiling and monitoring of microbial populations by denaturing high-performance liquid chromatography

We describe a new molecular technique for the analysis of microbial species and complex microbial populations based on the separation of PCR-amplified 16S rDNA fragments by denaturing high-performance liquid chromatography (DHPLC). Using marine bacterial samples, we determined the optimum conditions for the analysis of bacterial species and the examination of complex bacterial assemblages obtained from different environments. The incorporation of a 40-bp GC clamp into the amplification primer was essential to effectively discriminate genetic differences in DHPLC-primers with a 20-, 10-, or 0-bp GC clamp length were less efficient. A 64.5 degrees C column temperature in DHPLC allowed optimal separation of species in a complex bacterial population. PCR-DHPLC analysis of bacterial assemblages demonstrated profiles with distinguishable peaks, which constituted the different populations and their degree of abundance. Fraction collection and DNA sequencing from profile peaks enabled bacterial identification. PCR-DHPLC analysis can also provide opportunities for describing bacterial communities, cloning bacteria, and monitoring bacterial populations in environments of interest.

Human CYP4B1 gene in the japanese population analyzed by denaturing HPLC

Human CYP4B1 is a CYP4 enzyme with activity towards xenobiotics. Five alleles of human CYP4B1 have been identified in French Caucasians, but allelic variants of enzyme have not been determined in the Japanese population. To establish a rapid and sensitive means of detecting variant CYP4B1 alleles, we analyzed those of 192 Japanese individuals using denaturing HPLC (DHPLC). We then determined the optimal conditions required to detect SNPs for each PCR fragment. Analysis by DHPLC revealed the novel alleles, CYP4B1(*)6 (517C>T and 1033G>A) and CYP4B1(*)7 (AT881-882-del, 993G>A, and 1018C>T), as well as 3 known alleles. The frequencies of the CYP4B1(*)1, (*)2, (*)3, (*)4, (*)5, (*)6, and (*)7 alleles in 192 Japanese individuals were 0.490, 0.328, 0.154, 0, 0.016, 0.008, and 0.005, respectively. The allele frequencies among Japanese relative to those in French Caucasians for CYP4B1(*)1 (0.490 vs. 0.724) and CYP4B1(*)2 (0.328 vs. 0.147) significantly differed. Our results suggest that high throughput DHPLC can rapidly detect pharmacologically important variants in CYP genes.

Somatic mutation: a cause of sporadic neurodegenerative diseases?

The major causes of the common neurodegenerative diseases remain unknown. Alzheimer's disease, Parkinson's disease and motor neuron disease occur in both sporadic and familial forms, and mutations are progressively being found in families with these disorders. However, attempts to find causative mutations in blood DNA from the sporadic forms of the diseases have proved fruitless. It is hypothesised that this is because the causative mutations are found only in the cells in the central nervous system that are affected by the disease. These mutations arise in the developing embryo in progenitor cells of neurons or glia. The diseases are not passed to offspring since the mutations are not present in the germ-line. To find somatic mutations, the affected central nervous system cells need to be separated out and submitted to DNA analysis.