Detection Of DNA Sequence Variation Research Articles

Clinical utility of comprehensive genomic profiling in central nervous system tumors of children and young adults.

BackgroundRecent large-scale genomic studies have revealed a spectrum of genetic variants associated with specific subtypes of central nervous system (CNS) tumors. The aim of this study was to determine the clinical utility of comprehensive genomic profiling of pediatric, adolescent and young adult (AYA) CNS tumors in a prospective setting, including detection of DNA sequence variants, gene fusions, copy number alterations (CNAs), and loss of heterozygosity.MethodsOncoKids, a comprehensive DNA- and RNA-based next-generation sequencing (NGS) panel, in conjunction with chromosomal microarray analysis (CMA) was employed to detect diagnostic, prognostic, and therapeutic markers. NGS was performed on 222 specimens from 212 patients. Clinical CMA data were analyzed in parallel for 66% (146/222) of cases.ResultsNGS demonstrated clinically significant alterations in 66% (147/222) of cases. Diagnostic markers were identified in 62% (138/222) of cases. Prognostic information and targetable genomic alterations were identified in 22% (49/222) and 18% (41/222) of cases, respectively. Diagnostic or prognostic CNAs were revealed by CMA in 69% (101/146) of cases. Importantly, clinically significant CNAs were detected in 57% (34/60) of cases with noncontributory NGS results. Germline cancer predisposition testing was indicated for 27% (57/212) of patients. Follow-up germline testing was performed for 20 patients which confirmed a germline pathogenic/likely pathogenic variant in 9 cases: TP53 (2), NF1 (2), SMARCB1 (1), NF2 (1), MSH6 (1), PMS2 (1), and a patient with 47,XXY Klinefelter syndrome.ConclusionsOur results demonstrate the significant clinical utility of integrating genomic profiling into routine clinical testing for pediatric and AYA patients with CNS tumors.

Molecular Diagnostics of Gliomas Using Next Generation Sequencing of a Glioma-Tailored Gene Panel.

Current classification of gliomas is based on histological criteria according to the World Health Organization (WHO) classification of tumors of the central nervous system. Over the past years, characteristic genetic profiles have been identified in various glioma types. These can refine tumor diagnostics and provide important prognostic and predictive information. We report on the establishment and validation of gene panel next generation sequencing (NGS) for the molecular diagnostics of gliomas. We designed a glioma-tailored gene panel covering 660 amplicons derived from 20 genes frequently aberrant in different glioma types. Sensitivity and specificity of glioma gene panel NGS for detection of DNA sequence variants and copy number changes were validated by single gene analyses. NGS-based mutation detection was optimized for application on formalin-fixed paraffin-embedded tissue specimens including small stereotactic biopsy samples. NGS data obtained in a retrospective analysis of 121 gliomas allowed for their molecular classification into distinct biological groups, including (i) isocitrate dehydrogenase gene (IDH) 1 or 2 mutant astrocytic gliomas with frequent α-thalassemia/mental retardation syndrome X-linked (ATRX) and tumor protein p53 (TP53) gene mutations, (ii) IDH mutant oligodendroglial tumors with 1p/19q codeletion, telomerase reverse transcriptase (TERT) promoter mutation and frequent Drosophila homolog of capicua (CIC) gene mutation, as well as (iii) IDH wildtype glioblastomas with frequent TERT promoter mutation, phosphatase and tensin homolog (PTEN) mutation and/or epidermal growth factor receptor (EGFR) amplification. Oligoastrocytic gliomas were genetically assigned to either of these groups. Our findings implicate gene panel NGS as a promising diagnostic technique that may facilitate integrated histological and molecular glioma classification.

Rapid detection of Echinococcus species by a high-resolution melting (HRM) approach

BackgroundHigh-resolution melting (HRM) provides a low-cost, fast and sensitive scanning method that allows the detection of DNA sequence variations in a single step, which makes it appropriate for application in parasite identification and genotyping. The aim of this work was to implement an HRM-PCR assay targeting part of the mitochondrial cox1 gene to achieve an accurate and fast method for Echinococcus spp. differentiation.FindingsFor melting analysis, a total of 107 samples from seven species were used in this study. The species analyzed included Echinococcus granulosus (n = 41) and Echinococcus ortleppi (n = 50) from bovine, Echinococcus vogeli (n = 2) from paca, Echinococcus oligarthra (n = 3) from agouti, Echinococcus multilocularis (n = 6) from monkey and Echinococcus canadensis (n = 2) and Taenia hydatigena (n = 3) from pig. DNA extraction was performed, and a 444-bp fragment of the cox1 gene was amplified. Two approaches were used, one based on HRM analysis, and a second using SYBR Green Tm-based. In the HRM analysis, a specific profile for each species was observed. Although some species exhibited almost the same melting temperature (Tm) value, the HRM profiles could be clearly discriminated. The SYBR Green Tm-based analysis showed differences between E. granulosus and E. ortleppi and between E. vogeli and E. oligarthra.ConclusionsIn this work, we report the implementation of HRM analysis to differentiate species of the genus Echinococcus using part of the mitochondrial gene cox1. This method may be also potentially applied to identify other species belonging to the Taeniidae family.

High-resolution melting analysis (HRMA) for KRAS mutational study in patients with metastatic colorectal cancer (mCRC pts).

515 Background: The use of anti EGFR monoclonal antibodies cetuximab and panitumumab is restricted to KRAS wild-type (WT) mCRC pts. Standard method for KRAS testing is direct sequencing. To overcome its limited sensitivity, novel techniques have been developed. However there is little concordance on the clinical significance of more sensitive tests. HRMA is very sensitive and economic and allows rapid detection of DNA sequence variations based on specific sequence-related melting profile. Here we report the evaluation of therapeutic effects of cetuximab in direct sequencing tested WT pts, according to their HRMA mutational status. Methods: We retrospectively evaluated 50 (35 males, 15 females) mCRC pts with WT KRAS status by direct sequencing. Median age was 61 years (range 29 – 77). Most (40%) pts had liver metastases and 24% had multi-organ disease. They received second- or third-line cetuximab-containing chemotherapy, with irinotecan (n=25) or with combination regimen (22 FOLFIRI and 3 FOLFOX). Twenty-eight pts were treated in second-line and 22 in third-line. KRAS mutation status was reassessed in all pts using HRMA. Results: All 50 pts were evaluated for tumor response, PFS and OS. In 4 (8%) pts, KRAS mutations were only identified by HRMA. The response rate of HRMA KRAS WT pts was 28.3%, with 1 complete (2.2%) and 12 partial (26.1%). No response was observed in HRMA KRAS MT (3/4 with a progression as best response). Stable disease rates were 30.4% (14/46 pts) and 25% (1/4 pts) in HRMA WT and MT cases respectively. Disease control rate (objective responses plus stable disease) was 58.7% in HRMA KRAS WT pts and 25% in HRMA KRAS MT. No significant correlation was found between HRMA-KRAS status and response rate (p=0.287) or disease control rate (p=0.219). However, median PFS (5.1 versus 2.5 months; HR=0.34, p=0.04) and median OS (11.3 versus 3.2 months; HR=0.11, p=0.03) were significantly longer for HRMA KRAS WT pts compared to HRMA KRAS MT. Conclusions: These data show a significant difference in clinical outcome between HRMA KRAS WT and MT pts receiving a cetuximab-containing second- or third-line treatment, suggesting that techniques more sensitive than direct sequencing could better select pts for cetuximab-based treatment.

Single-step capture and sequencing of natural DNA for detection of BRCA1 mutations

Genetic testing for disease risk is an increasingly important component of medical care. However, testing can be expensive, which can lead to patients and physicians having limited access to the genetic information needed for medical decisions. To simplify DNA sample preparation and lower costs, we have developed a system in which any gene can be captured and sequenced directly from human genomic DNA without amplification, using no proteins or enzymes prior to sequencing. Extracted whole-genome DNA is acoustically sheared and loaded in a flow cell channel for single-molecule sequencing. Gene isolation, amplification, or ligation is not necessary. Accurate and low-cost detection of DNA sequence variants is demonstrated for the BRCA1 gene. Disease-causing mutations as well as common variants from well-characterized samples are identified. Single-molecule sequencing generates very reproducible coverage patterns, and these can be used to detect any size insertion or deletion directly, unlike PCR-based methods, which require additional assays. Because no gene isolation or amplification is required for sequencing, the exceptionally low costs of sample preparation and analysis could make genetic tests more accessible to those who wish to know their own disease susceptibility. Additionally, this approach has applications for sequencing integration sites for gene therapy vectors, transposons, retroviruses, and other mobile DNA elements in a more facile manner than possible with other methods.

A probabilistic method for the detection and genotyping of small indels from population-scale sequence data

High-throughput sequencing technologies have made population-scale studies of human genetic variation possible. Accurate and comprehensive detection of DNA sequence variants is crucial for the success of these studies. Small insertions and deletions represent the second most frequent class of variation in the human genome after single nucleotide polymorphisms (SNPs). Although several alignment tools for the gapped alignment of sequence reads to a reference genome are available, computational methods for discriminating indels from sequencing errors and genotyping indels directly from sequence reads are needed. We describe a probabilistic method for the accurate detection and genotyping of short indels from population-scale sequence data. In this approach, aligned sequence reads from a population of individuals are used to automatically account for context-specific sequencing errors associated with indels. We applied this approach to population sequence datasets from the 1000 Genomes exon pilot project generated using the Roche 454 and Illumina sequencing platforms, and were able to detect a significantly greater number of indels than reported previously. Comparison to indels identified in the 1000 Genomes pilot project demonstrated the sensitivity of our method. The consistency in the number of indels and the fraction of indels whose length is a multiple of three across different human populations and two different sequencing platforms indicated that our method has a low false discovery rate. Finally, the method represents a general approach for the detection and genotyping of small-scale DNA sequence variants for population-scale sequencing projects. A program implementing this method is available at http://polymorphism.scripps.edu/~vbansal/software/piCALL/

Genetic polymorphism in Trypanosoma cruzi I isolated from Brazilian Northeast triatomines revealed by low-stringency single specific primer–polymerase chain reaction

Different molecular markers have been employed for typing Trypanosoma cruzi strains from endemic areas of Chagas disease. The low-stringency single specific primer-polymerase chain reaction (LSSP-PCR) has been a sensitive and informative technique that uses the variable region of kinetoplast DNA minicircles as a genetic marker, allowing detection of DNA sequence variation. In the present study, we analyzed the intra-lineage genetic variability of the T. cruzi strains obtained from triatomine feces collected on filter paper FTA card by LSSP-PCR. The hybridization of the PCR products with a probe for the subgenus Schizotrypanum and a clone-specific probe from Dm28c confirmed the subgenus as T. (S.) cruzi and respective lineages as T. cruzi I. Phenetic analysis showed the presence of three clusters that diverged by different coefficients of similarity. Thirteen T. cruzi I genotypes were observed circulating among Triatoma pseudomaculata and Rhodnius nasutus from peridomiciliary and natural environments in five peri-urban and urban localities of Jaguaruana, Ceará, Brazil. These data indicate the importance of the circulation of T. cruzi I genotypes among T. pseudomaculata and R. nasutus in different environments and the possible risk of Chagas disease domestic transmission.

Development of a single tube 640-plex genotyping method for detection of nucleic acid variations on microarrays

Detection of DNA sequence variation is critical to biomedical applications, including disease genetic identification, diagnosis and treatment, drug discovery and forensic analysis. Here, we describe an arrayed primer extension-based genotyping method (APEX-2) that allows multiplex (640-plex) DNA amplification and detection of single nucleotide polymorphisms (SNPs) and mutations on microarrays via four-color single-base primer extension. The founding principle of APEX-2 multiplex PCR requires two oligonucleotides per SNP/mutation to generate amplicons containing the position of interest. The same oligonucleotides are then subsequently used as immobilized single-base extension primers on a microarray. The method described here is ideal for SNP or mutation detection analysis, molecular diagnostics and forensic analysis. This robust genetic test has minimal requirements: two primers, two spots on the microarray and a low cost four-color detection system for the targeted site; and provides an advantageous alternative to high-density platforms and low-density detection systems.

Oligonucleotide microarray: A new rapid method for screening the 23S rRNA gene of Helicobacter pylori for single nucleotide polymorphisms associated with clarithromycin resistance

Resistance to antibiotics in Helicobacter pylori is increasing and becoming a serious problem in eradication treatment. Resistance of H. pylori to clarithromycin has been found to be associated with 2142 A-to-G, 2143 A-to-G and 2182 C-to-T point mutations in the 23S rRNA gene. Thus, the purpose of the present study was to develop a new method to analyze single nucleotide polymorphism (SNPs) of 23S rRNA gene using oligonucleotide microarray and to determine the prevalence of each mutation in H. pylori-positive patients. Gastric tissue biopsy specimens were obtained from patients undergoing upper gastrointestinal endoscopy. After DNA extraction, asymmetric PCR was employed to prepare single-stranded target DNA labeled with a fluorescent dye. The PCR products that amplified a portion of 23S rRNA from H. pylori isolates were hybridized on DNA microarray, specific for SNP genotyping and mutation detection. The optimal signal intensity and efficiency of hybridization were observed for capture probes in the detection of DNA sequence variation. The relevant mutation was confirmed by DNA sequencing analysis. Fifty-four gastric biopsy specimens yielded H. pylori-positive results and were studied to detect mutations in the 23S rRNA gene. There were no samples with A-to-G transition at position 2142. The 2143 A-to-G and 2182 C-to-T mutations were present in 11.11% and 12.96% of H. pylori strains examined, respectively. The relevant mutation was confirmed by analysis of DNA sequencing to be the same as that described at position 2142, 2143 and 2182 using oligonucleotide microarray. Oligonucleotide microarray of the PCR product permits a rapid and accurate screening of SNPs of 23S rRNA gene from H. pylori. It is now possible to apply this hybridization technology in clinical diagnosis and treatment.

Detection of DNA Sequence Variations in Homo- and Heterozygous Samples via Molecular Mass Measurements by Electrospray Ionization Time-of-Flight Mass Spectrometry

The potential of ion-pair reversed-phase high-performance liquid chromatography on-line hyphenated to electrospray ionization time-of-flight mass spectrometry for the characterization of polymerase chain reaction (PCR) amplified nucleic acids was evaluated. For that purpose, a "SNP toolbox" was constructed by cloning and PCR-mediated site-directed in vitro mutagenesis at nucleotide position (ntp) 16,519 of a sequence-verified fragment of the human mitochondrial genome (ntps 15,900-599). Confirmatory sequencing demonstrated that within the sequences of the clones one and the same base was mutated to all other bases. Using these clones or equimolar mixtures of these clones as PCR templates, 51-401-bp-long amplicons were generated, which were used to determine the upper size limits of PCR products for the unequivocal detection of sequence variations in homo- and heterozygous samples. Based on the high mass spectrometric performance of the applied time-of-flight mass spectrometer, the unequivocal genotyping of all kinds of single base exchanges in PCR amplicons from heterozygous samples with lengths up to 254 base pairs (bp) was demonstrated. Considering homozygous samples, the successful genotyping of single base substitutions in up to 401-bp-long PCR products was possible. Consequently, the described hyphenated technique represents one of the most powerful mass spectrometric genotyping assays available today.

Rapid detection of gyrA and parC mutations in fluoroquinolone-resistant Neisseria gonorrhoeae by denaturing high-performance liquid chromatography

The detection of DNA sequence variation is fundamental to the identification of the genomic basis of phenotypic variability. Denaturing high-performance liquid chromatography (DHPLC) is a novel technique that is used to detect mutations in human DNA. This is the first report that this technique is used as a tool to detect mutations in genes encoding fluoroquinolone resistance in Neisseria gonorrhoeae. Eighty-one strains of N. gonorrhoeae were used in this study. Genomic DNA from each strain was subjected to PCR amplification of 225 bp in gyrA and 166 bp in parC spanning the fluoroquinolone-resistance determining regions (QRDRs). After we performed DNA sequencing of these amplicons and identification of mutations in the QRDRs, DHPLC was undertaken to investigate whether its results correlate the distinctive chromatogram with their DNA mutations pattern. The profilings detected by DHPLC completely corresponded to the results of the DNA sequencing in mutation patters in gyrA and parC genes. They resulted in the following amino acid substitutions: Ser-91Phe, Asp-95Gly, and Asp-95Asn in gyrA; and Gly-85Asp, Asp-86Asn, Ser-87Arg, and Ser-88Pro in parC, respectively. These mutations existed alone or as combinations, and we identified five mutations patterns in gyrA and six in parC including wild-type. These mutations and their patterns could be rapidly and reproducibly identified from the PCR products using DHPLC, producing specific peak patterns that correlate with genotypes. This novel detection system facilitates the detection of resistance alleles, providing a rapid (5 min per sample), economic (96 sample per run), and reliable technique for characterizing fluoroquinolone resistance in N. gonorrhoeae.

Single nucleotide polymorphism discrimination assisted by improved base stacking hybridization using oligonucleotide microarrays.

Efficiencies of mismatch discrimination using size-varied capture probes were examined at various hybridization temperatures. The probes were 17, 15, 13, 11, 9, and 7 nucleotides long and contained single-base mismatches at their 3' ends. The optimal signal intensity and efficiency of base stacking hybridization on mismatch discrimination were observed for capture probes with a melting temperature (Tm) value of 36 degrees C, in the detection of DNA sequence variations at 40 degrees C. We employed asymmetric PCR to prepare single-stranded target DNA labeled with a fluorescent dye, and the PCR product was hybridized on the DNA microarray with no further purification. Our efforts have enhanced the sensitivity and simplified the procedures of base stacking hybridization on mismatch discrimination. As a model experiment, this improved technology was used to identify plasmid templates of human leukocyte antigen (HLA)-A alleles 2601, 2902, and 0206 on oligonucleotide microarrays. It is now possible to apply this simple, rapid, sensitive, and reliable base stacking hybridization technology to detect DNA sequence variations on microarrays in clinical diagnosis and other applications.

Mutation analysis of the RET gene in total intestinal aganglionosis by wave DNA fragment analysis system

Background/Purpose: Total intestinal aganglionosis (TIA) extending from the duodenum to the rectum is the most rare form of Hirschprung's disease (HSCR) and usually is fatal. RET is the major gene associated with HSCR, and germline mutations of this gene account for up 50% of familial and up to 15 to 20% of sporadic cases in HSCR. The aim of this study was to investigate DNA variants in the RET gene in TIA patients using the WAVE DNA Fragment Analysis System. Methods: Genomic DNA was extracted from whole blood samples from 6 patients with TIA. Polymerase chain reaction (PCR) amplification of the 21 exons of RET was performed using published oligonucleotide primers. Heteroduplexes were followed by the WAVE DNA Fragment Analysis System with the DNASep cartridge. Results: WAVE system technology detected 16 variants in the RET gene in the 6 patients with TIA. Three patients had a significant mutation in exon 8, 11, and 15, respectively. Thirteen RET polymorphic variants also were detected in the 6 patients, with L746L variant in exon 13 occurring in 4 patients. Conclusions: WAVE system technology is an efficient method for the detection of DNA sequence variants. Our findings suggest that not only RET mutations but also RET polymorphic variants may contribute to the occurrence of TIA. J Pediatr Surg 38:497-501. Copyright 2003, Elsevier Science (USA). All rights reserved.

Examination of single and multiple mutations involved in resistance to quinolones in Staphylococcus aureus by a combination of PCR and denaturing high-performance liquid chromatography (DHPLC).

Detection of DNA sequence variation is fundamental to the identification of the genomic basis of phenotypic variability. Denaturing high-performance liquid chromatography (DHPLC) is a novel technique that has been used to detect mutations in human DNA. We report on the first study to use this technique as a tool to detect mutations in genes encoding antibiotic resistance in bacteria. Three methicillin-sensitive and three methicillin-resistant clinical Staphylococcus aureus isolates, susceptible to ciprofloxacin (MIC <or= 0.4 mg/L), were used to derive mutants resistant to ciprofloxacin, levofloxacin, sparfloxacin, trovafloxacin and moxifloxacin. Genomic DNA from each strain was subjected to PCR amplification of 225-500 bp regions spanning the quinolone resistance determining regions of the gyrA, gyrB, grlA and grlB genes. Following DNA sequencing of these amplicons and identification of resistance mutations, DHPLC was undertaken to correlate the distinctive chromatogram with DNA sequence. The mutations detected by DHPLC resulted in the following amino acid substitutions: Ser-84-->Leu, Ser-112-->Pro, Glu-88-->Lys in GyrA, Glu-84-->Val, Ser-80-->Phe in GrlA, Pro-456-->Ser in GyrB and Glu-422-->Asp, Pro-451-->Ser, Asp-432-->Gly in GrlB. Mutations could be rapidly and reproducibly identified from the PCR products using DHPLC, producing specific peak patterns that correlate with genotypes. This system facilitates the detection of resistance alleles, providing a rapid (5 min per sample), economic (96 sample per run) and reliable technique for characterizing antibiotic resistance in bacteria.

Determination of melting temperature for variant detection using dHPLC: a comparison between an empirical approach and DNA melting prediction software.

Detection of DNA sequence variants by the use of denaturing high-performance liquid chromatography (dHPLC) is a relatively new method (Underhill et al., 1997) and has distinct advantages over other methods such as single-strand conformation polymorphism (SSCP), direct sequencing, and DNA chip hybridization. The dHPLC-based single-nucleotide polymorphism (SNP) screening relies on different DNA thermodynamic properties between perfectly matched base pairs in homoduplex molecules and single base-pair mismatches in heteroduplex DNAs. Separation of the two forms of duplex DNAs by dHPLC is based on ionic forces between the negatively charged DNA and the hydrophobic stationary phase, which consists of C(18) chains on PSDVB (polystyrene-divinylbenzene) beads coated with a positively charged ion-pairing agent (TEAA, triethylammonium acetate). Removal of the DNA from the TEAA-coated beads is dependent upon a mobile organic phase, in the form of a linear acetonitrile gradient. The major factor that influences the success of dHPLC to detect sequence variation is the thermal stability of the duplex DNA, which is determined by the melting temperature (TM(50)), where 50% of the DNA strand is single stranded and 50% is double stranded. The TM(50) predicts the best probability of detecting a single base-pair change based on the altered thermodynamics it imparts to the DNA duplex. Generally, there are two ways to determine this melting temperature, either empirically or with the aid of predictive DNA melting analysis software. Such programs include the DNAMelt program located on the Stanford University DNA Sequencing and Technology Center website, MeltCalc (Schutz and von Ahsen 1999), and WAVEMAKER, the proprietary melting analysis software provided with the Transgenomic WAVE dHPLC system. The goal of the current study was to determine whether currently available predictive DNA melting programs could be used to increase efficiency and throughput of SNP detection. A wide range of amplicons, differing in both size and GC composition, were selected for analysis to simulate the broad spectrum of PCR products that may be encountered during a large-scale dHPLC screening project.

Integrated platform for detection of DNA sequence variants using capillary array electrophoresis.

We have developed a highly versatile platform that performs temperature gradient capillary electrophoresis (TGCE) for mutation/single-nucleotide polymorphism (SNP) detection, sequencing and mutation/SNP genotyping for identification of sequence variants on an automated 24-, 96- or 192-capillary array instrument. In the first mode, multiple DNA samples consisting of homoduplexes and heteroduplexes are separated by CE, during which a temperature gradient is applied that covers all possible temperatures of 50% melting equilibrium (Tms) for the samples. The differences in Tms result in separation of homoduplexes from heteroduplexes, thereby identifying the presence of DNA variants. The sequencing mode is then used to determine the exact location of the mutation/SNPs in the DNA variants. The first two modes allow the rapid identification of variants from the screening of a large number of samples. Only the variants need to be sequenced. The third mode utilizes multiplexed single-base extensions (SBEs) to survey mutations and SNPs at the known sites of DNA sequence. The TGCE approach combined with sequencing and SBE is fast and cost-effective for high-throughput mutation/SNP detection.

DNA sandwiches with silver and gold

Can DNA hybridization be exploited to create electrical circuits for the detection of DNA sequence variants?

On-Line Liquid Chromatography Mass Spectrometry: A Useful Tool for the Detection of DNA Sequence Variation.

Indications of the occurrence of mutations can be gained from accurate mass measurements by electrospray ionization mass spectrometry. On-line coupling to liquid chromatography is essential for the application to real samples. By utilizing the coupled method, insertions, deletions, and point mutations are rapidly discovered in DNA restriction fragments and PCR products.

Global Analysis of ATM Polymorphism Reveals Significant Functional Constraint

ATM, the gene that is mutated in ataxia-telangiectasia, is associated with cerebellar degeneration, abnormal proliferation of small blood vessels, and cancer. These clinically important manifestations have stimulated interest in defining the sequence variation in the ATM gene. Therefore, we undertook a comprehensive survey of sequence variation in ATM in diverse human populations. The protein-encoding exons of the gene (9,168 bp) and the adjacent intron and untranslated sequences (14,661 bp) were analyzed in 93 individuals from seven major human populations. In addition, the coding sequence was analyzed in one chimpanzee, one gorilla, one orangutan, and one Old World monkey. In human ATM, 88 variant sites were discovered by denaturing high-performance liquid chromatography, which is 96%-100% sensitive for detection of DNA sequence variation. ATM was compared to 14 other autosomal genes for nucleotide diversity. The noncoding regions of ATM had diversity values comparable to other genes, but the coding regions had very low diversity, especially in the last 29% of the protein sequence. A test of the neutral evolution hypothesis, through use of the Hudson/Kreitman/Aguadé statistic, revealed that this region of the human ATM gene was significantly constrained relative to that of the orangutan, the Old World monkey, and the mouse, but not relative to that of the chimpanzee or the gorilla. ATM displayed extensive linkage disequilibrium, consistent with suppression of meiotic recombination at this locus. Seven haplotypes were defined. Two haplotypes accounted for 82% of all chromosomes analyzed in all major populations; two others carrying the same D126E missense polymorphism accounted for 33% of chromosomes in Africa but were never observed outside of Africa. The high frequency of this polymorphism may be due either to a population expansion within Africa or to selective pressure.

Random mutagenesis-PCR to introduce alterations into defined DNA sequences for validation of SNP and mutation detection methods.

Sensitive and high throughput techniques are required for the detection of DNA sequence variants such as single nucleotide polymorphisms (SNPs) and mutations. One problem, common to all methods of SNP and mutation detection, is that experimental conditions required for detection of DNA sequence variants depend on the specific DNA sequence to be analyzed. Although algorithms and other calculations have been developed to predict the experimental conditions required to detect DNA sequence variation in a specific DNA sequence, these algorithms do not always provide reliable information and experimental conditions for SNP and mutation detection must be devised empirically. Determination of experimental conditions for detection of DNA sequence variation is difficult when samples containing only wild type sequence are available. When patient derived positive controls are used, increasingly there are valid concerns about commercial ownership and patient privacy. This report presents a rapid and efficient method, employing random mutagenesis-PCR (RM-PCR) using low fidelity DNA polymerase, to randomly introduce single and multiple base substitutions and deletions into DNA sequences of interest. Clones with sequence changes were used to validate denaturing HPLC (DHPLC) algorithm predictions, optimize conditions for mutation detection in exon 15 of the tyrosine kinase domain of the MET proto-oncogene, and to confirm the association between specific DNA sequence changes and unique DHPLC chromatographic profiles (signatures). Finally, DNA from 33 papillary renal carcinoma (PRC) patients was screened for mutations in exon 15 of MET using "validated" DHPLC conditions as a proof of principle application of RM-PCR. Use of RM-PCR for DHPLC and other SNP/mutation detection methods is discussed along with challenges associated with detecting sequence alterations in mixed tumor/normal tissue, pooled samples, and from regions of the genome that have been amplified during tumorigenesis or duplicated during evolution. Hum Mutat 17:210-219, 2001. Published 2001 Wiley-Liss, Inc.