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Association of Neuregulin 1 with schizophrenia and bipolar disorder in a second cohort from the Scottish population.

Neuregulin 1 (NRG1) is a strong candidate for involvement in the aetiology of schizophrenia. A haplotype, initially identified as showing association in the Icelandic and Scottish populations, has shown a consistent effect size in multiple European populations. Additionally, NRG1 has been implicated in susceptibility to bipolar disorder. In this first study to select markers systematically on the basis of linkage disequilibrium across the entire NRG1 gene, we used haplotype-tagging single-nucleotide polymorphisms to identify single markers and haplotypes associated with schizophrenia and bipolar disorder in an independently ascertained Scottish population. Haplotypes in two regions met an experiment-wide significance threshold of P=0.0016 (Nyholt's SpD) and were permuted to correct for multiple testing. Region A overlaps with the Icelandic haplotype and shows nominal association with schizophrenia (P=0.00032), bipolar disorder (P=0.0011), and the combined case group (P=0.0017). This region includes the 5' exon of the NRG1 GGF2 isoform and overlaps the expressed sequence tag (EST) cluster Hs.97362. However, no haplotype in Region A remains significant after permutation analysis (P>0.05). Region B contains a haplotype associated with both schizophrenia (P=0.00014), and the combined case group (P=0.000062), although it does not meet Nyholt's threshold in bipolar disorder alone (P=0.0022). This haplotype remained significant after permutation analysis in both the schizophrenia and combined case groups (P=0.024 and P=0.016, respectively). It spans a approximately 136 kb region that includes the coding sequence of the sensory and motor neuron derived factor (SMDF) isoform and 3' exons of all other known NRG1 isoforms. Our study identifies a new of NRG1 region involved in schizophrenia and bipolar disorder in the Scottish population.

Bipolar Disorder↗

Multipoint linkage-disequilibrium mapping narrows location interval and identifies mutation heterogeneity.

Single-nucleotide polymorphism (SNP) genotypes were recently examined in an 890-kb region flanking the human gene CYP2D6. Single-marker and haplotype-based analyses identified, with genomewide significance (P < 10-7), a 403-kb interval displaying strong linkage disequilibrium (LD) with predicted poor-metabolizer phenotype. However, the width of this interval makes the location of causal variants difficult: for example, the interval contains seven known or predicted genes in addition to CYP2D6. We have developed the Bayesian fine-mapping software coldmap, which, applied to these genotype data, yields a 95% location interval covering only 185 kb and establishes genomewide significance for a causal locus within the region. Strikingly, our interval correctly excludes four SNPs, which individually display association with genomewide significance, including the SNP showing strongest LD (P < 10-34). In addition, coldmap distinguishes homozygous cases for the major CYP2D6 mutation from those bearing minor mutations. We further investigate a selection of SNP subsets and find that previously reported methods lead to a 38% savings in SNPs at the cost of an increase of <20% in the width of the location interval.

Bayes Theorem↗

Loss of DNA polymerase beta stacking interactions with templating purines, but not pyrimidines, alters catalytic efficiency and fidelity.

Structures of DNA polymerases bound with DNA reveal that the 5'-trajectory of the template strand is dramatically altered as it exits the polymerase active site. This distortion provides the polymerase access to the nascent base pair to interrogate proper Watson-Crick geometry. Upon binding a correct deoxynucleoside triphosphate, alpha-helix N of DNA polymerase beta is observed to form one face of the binding pocket for the new base pair. Asp-276 and Lys-280 stack with the bases of the incoming nucleotide and template, respectively. To determine the role of Lys-280, site-directed mutants were constructed at this position, and the proteins were expressed and purified, and their catalytic efficiency and fidelity were assessed. The catalytic efficiency for single-nucleotide gap filling with the glycine mutant (K280G) was strongly diminished relative to wild type for templating purines (>15-fold) due to a decreased binding affinity for the incoming nucleotide. In contrast, catalytic efficiency was hardly affected by glycine substitution for templating pyrimidines (<4-fold). The fidelity of the glycine mutant was identical to the wild type enzyme for misinsertion opposite a template thymidine, whereas the fidelity of misinsertion opposite a template guanine was modestly altered. The nature of the Lys-280 side-chain substitution for thymidine triphosphate insertion (templating adenine) indicates that Lys-280 "stabilizes" templating purines through van der Waals interactions.

Arginine↗

Association of protein kinase C alpha (PRKCA) gene with multiple sclerosis in a UK population.

Twin, family and adoption studies suggest that susceptibility to multiple sclerosis is substantially mediated by genetic factors. Linkage to human chromosome 17q, homologous to a locus linked to experimental animal models of multiple sclerosis, has been widely replicated and the region likely to harbour a multiple sclerosis susceptibility gene has recently been refined to a 2.5 Mb region of 17q22-24. The candidate multiple sclerosis susceptibility gene, protein kinase C alpha (PRKCA), maps within this interval and association with 35 single-nucleotide polymorphism (SNP) markers, spanning the gene with a median spacing of 7.8 kb, was tested using a case-control approach. Single-marker genotype and estimated haplotype frequencies were compared in UK unrelated cases with multiple sclerosis (n = 184) and healthy controls (n = 340) in order to investigate association with susceptibility to disease. A haplotype of two SNPs mapping to the proximal region of the gene showed evidence for association with susceptibility (Bonferroni-corrected P value = 1.1 x 10(-5)). These findings suggest that further investigation of the PRKCA gene is warranted, particularly in cohorts with evidence of linkage to 17q22. Most of the SNPs investigated in this study were intronic and screening to identify disease-associated functional mutations is now required. Our results suggest that the promoter and proximal gene region should be not only included but prioritized in any screening strategy.

Adult↗

Non-cross-linking gold nanoparticle aggregation as a detection method for single-base substitutions.

Aggregation of DNA-modified gold nanoparticles in a non-cross-linking configuration has extraordinary selectivity against terminal mismatch of the surface-bound duplex. In this paper, we demonstrate the utility of this selectivity for detection of single-base substitutions. The samples were prepared through standard protocols: DNA extraction, PCR amplification and single-base primer extension. Oligonucleotide-modified nanoparticles correctly responded to the unpurified products from the primer extension: aggregation for the full match and dispersion for all the mismatches. Applicability of this method to genomic DNA was tested with five human tumor cell lines, and verified by conventional technologies: mass spectrometry and direct sequencing. Unlike the existing methods for single-base substitution analysis, this method does not need specialized equipments, and opens up a new possibility of point-of-care diagnosis for single-nucleotide polymorphisms.

Biosensing Techniques↗

A microsphere-based assay for multiplexed single nucleotide polymorphism analysis using single base chain extension.

A rapid, high throughput readout for single-nucleotide polymorphism (SNP) analysis was developed employing single base chain extension and cytometric analysis of an array of fluorescent microspheres. An array of fluorescent microspheres was coupled with uniquely identifying sequences, termed complementary ZipCodes (cZipCodes), which allowed for multiplexing possibilities. For a given assay, querying a polymorphic base involved extending an oligonucleotide containing both a ZipCode and a SNP-specific sequence with a DNA polymerase and a pair of fluoresceinated dideoxynucleotides. To capture the reaction products for analysis, the ZipCode portion of the oligonucleotide was hybridized with its cZipCodes on the microsphere. Flow cytometry was used for microsphere decoding and SNP typing by detecting the fluorescein label captured on the microspheres. In addition to multiplexing capability, the ZipCode system allows multiple sets of SNPs to be analyzed by a limited set of cZipCode-attached microspheres. A standard set of non-cross reactive ZipCodes was established experimentally and the accuracy of the system was validated by comparison with genotypes determined by other technologies. From a total of 58 SNPs, 55 SNPs were successfully analyzed in the first pass using this assay format and all 181 genotypes across the 55 SNPs were correct. These data demonstrate that the microsphere-based single base chain extension (SBCE) method is a sensitive and reliable assay. It can be readily adapted to an automated, high-throughput genotyping system. [Primer sequences used in this study are available as online supplementary materials at www.genome.org.]

DNA, Complementary↗

Haplotyping of TNFalpha gene promoter using melting temperature analysis: detection of a novel -856(G/A) mutation.

Tumor necrosis factor alpha (TNFalpha) is a potent cytokine with a wide range of pro-inflammatory activities and plays a critical role in the pathogenesis of a number of infectious, inflammatory, autoimmune, and metabolic diseases. We determined four single-nucleotide polymorphisms (SNPs), -1031(C/T), -863(C/A), -857(C/T), and -308(G/A) in the TNFalpha promoter region using melting temperature analysis, among 1451 geriatric autopsy samples. Two adjacent SNPs, -863(C/A) and -857(C/T), were directly assayed by a single probe reaction, which correctly determined three of four expected haplotypes. Sequence confirmation related that the most rare haplotype (8/2902 chromosomes, frequency: 0.26%) contains a novel mutation of -856(G/A), instead of the predicted haplotype. These results indicate that melting temperature analysis provides a robust method to determine the polymorphisms in the TNFalpha promoter.

Haplotypes↗

Role of large sequence polymorphisms (LSPs) in generating genomic diversity among clinical isolates of Mycobacterium tuberculosis and the utility of LSPs in phylogenetic analysis.

Mycobacterium tuberculosis strains contain different genomic insertions or deletions called large sequence polymorphisms (LSPs). Distinguishing between LSPs that occur one time versus ones that occur repeatedly in a genomic region may provide insights into the biological roles of LSPs and identify useful phylogenetic markers. We analyzed 163 clinical M. tuberculosis isolates for 17 LSPs identified in a genomic comparison of M. tuberculosis strains H37Rv and CDC1551. LSPs were mapped onto a single-nucleotide polymorphism (SNP)-based phylogenetic tree created using nine novel SNP markers that were found to reproduce a 212-SNP-based phylogeny. Four LSPs (group A) mapped to a single SNP tree segment. Two LSPs (group B) and 11 LSPs (group C) were inferred to have arisen independently in the same genomic region either two or more than two times, respectively. None of the group A LSPs but one group B LSP and five group C LSPs were flanked by IS6110 sequences in the references strains. Genes encoding members of the proline-glutamic acid or proline-proline-glutamic acid protein families were present only in group B or C LSPs. SNP- versus LSP-based phylogenies were also compared. We classified each isolate into 58 LSP types by using a separate LSP-based phylogenetic analysis and mapped the LSP types onto the SNP tree. LSPs often assigned isolates to the correct phylogenetic lineage; however, significant mistakes occurred for 6/58 (10%) of the LSP types. In conclusion, most LSPs occur in genomic regions that are prone to repeated insertion/deletion events and were responsible for an unexpectedly high degree of genomic variation in clinical M. tuberculosis. Group B and C LSPs may represent polymorphisms that occur due to selective pressure and affect the phenotype of the organism, while group A LSPs are preferable phylogenetic markers.

Gene Deletion↗

Polymorphisms of the low-density lipoprotein receptor-related protein 5 (LRP5) gene are associated with obesity phenotypes in a large family-based association study.

BACKGROUND: The low-density lipoprotein receptor-related protein 5 (LRP5) gene, essential for glucose and cholesterol metabolism, may have a role in the aetiology of obesity, an important risk factor for diabetes. PARTICIPANTS AND METHODS: To investigate the association between LRP5 polymorphisms and obesity, 27 single-nucleotide polymorphisms (SNPs), spacing about 5 kb apart on average and covering the full transcript length of the LRP5 gene, were genotyped in 1873 Caucasian people from 405 nuclear families. Obesity (defined as body mass index (BMI) >30 kg/m(2)) and three obesity-related phenotypes (BMI, fat mass and percentage of fat mass (PFM)) were investigated. RESULTS: Single markers (12 tagging SNPs and 4 untaggable SNPs) and haplotypes (5 blocks) were tested for associations, using family-based designs. SNP4 (rs4988300) and SNP6 (rs634008) located in block 2 (intron 1) showed significant associations with obesity and BMI after Bonferroni correction (SNP4: p<0.001 and p = 0.001, respectively; SNP6: p = 0.002 and 0.003, respectively). The common allele A for SNP4 and minor allele G for SNP6 were associated with an increased risk of obesity. Significant associations were also observed between common haplotype A-G-G-G of block 2 with obesity, BMI, fat mass and PFM with global empirical values p<0.001, p<0.001, p = 0.003 and p = 0.074, respectively. Subsequent sex-stratified analyses showed that the association in the total sample between block 2 and obesity may be mainly driven by female subjects. CONCLUSION: Intronic variants of the LRP5 gene are markedly associated with obesity. We hypothesise that such an association may be due to the role of LRP5 in the WNT signalling pathway or lipid metabolism. Further functional studies are needed to elucidate the exact molecular mechanism underlying our finding.

Adult↗

Association study with 33 single-nucleotide polymorphisms in 11 candidate genes for hypertension in Chinese.

Essential hypertension is considered to be a typical complex disease with multifactorial etiology, which leads to inconsistent findings in genetic studies. One possibility of failure to replicate some single-locus results is that the underlying genetics of hypertension are not only based on multiple genes with minor effects but also on gene-gene interactions. To test this hypothesis, a case-control study was constructed in Chinese subjects, detecting both single locus and multilocus effects. Eleven candidate genes were selected from biochemical pathways that have been implicated in the development and progression of hypertension, and 33 polymorphisms were evaluated in 503 hypertension patients and 490 age- and gender-matched controls. Single-locus associations, using traditional logistic regression analyses, and multilocus associations, using classification and regression trees and multivariate adaptive regression splines, were both explored in this study. Final models were selected using either Bonferroni correction or cross-validation. Three polymorphisms, TH*rs2070762, ADRB2*Q27E, and GRK4*A486V, were found to be independently associated with essential hypertension in Chinese subjects. In addition to these individual predictors, a potential interaction of CYP11B2-AGTR1 is also involved in the etiology of hypertension. These findings support the multigenic nature of the etiology of essential hypertension and propose a potential gene-gene interactive model for future studies.

Alanine↗

Searching for epistatic interactions in nuclear families using conditional linkage analysis.

BACKGROUND: Genomic screens generally employ a single-locus strategy for linkage analysis, but this may have low power in the presence of epistasis. Ordered subsets analysis (OSA) is a method for conditional linkage analysis using continuous covariates. METHODS: We used OSA to evaluate two-locus interactions in the simulated Genetic Analysis Workshop 14 dataset. We used all nuclear families ascertained by Aipotu, Karangar, and Danacaa. Using the single-nucleotide polymorphism map, multipoint affected-sibling-pair (ASP) linkage analysis was performed on all 100 replicates for each chromosome using SIBLINK. OSA was used to examine linkage on each chromosome using LOD scores at each 3-cM location on every other chromosome as covariates. Two methods were used to identify positive results: one searching across the entire covariate chromosome, the other conditioning on location of known disease loci. RESULTS: Single-locus linkage analysis revealed very high LOD scores for disease loci D1 through D4, with mean LOD scores over 100 replicates ranging from 4.0 to 7.8. Although OSA did not obscure this linkage evidence, it did not detect the simulated interactions between any of the locus pairs. We found inflated type I error rates using the first OSA method, highlighting the need to correct for multiple comparisons. Therefore, using "null chromosome pairs" without simulated disease loci, we calculated a corrected alpha-level. CONCLUSION: We were unable to detect two-locus interactions using OSA. This may have been due to lack of incorporation of phenotypic subgroups, or because linkage evidence as summarized by LOD scores performs poorly as an OSA covariate. We found inflated type I error rates, but were able to calculate a corrected alpha-level for future analyses employing this strategy to search for two-locus interactions.

Chromosome Mapping↗

Two-temperature LATE-PCR endpoint genotyping.

BACKGROUND: In conventional PCR, total amplicon yield becomes independent of starting template number as amplification reaches plateau and varies significantly among replicate reactions. This paper describes a strategy for reconfiguring PCR so that the signal intensity of a single fluorescent detection probe after PCR thermal cycling reflects genomic composition. The resulting method corrects for product yield variations among replicate amplification reactions, permits resolution of homozygous and heterozygous genotypes based on endpoint fluorescence signal intensities, and readily identifies imbalanced allele ratios equivalent to those arising from gene/chromosomal duplications. Furthermore, the use of only a single colored probe for genotyping enhances the multiplex detection capacity of the assay. RESULTS: Two-Temperature LATE-PCR endpoint genotyping combines Linear-After-The-Exponential (LATE)-PCR (an advanced form of asymmetric PCR that efficiently generates single-stranded DNA) and mismatch-tolerant probes capable of detecting allele-specific targets at high temperature and total single-stranded amplicons at a lower temperature in the same reaction. The method is demonstrated here for genotyping single-nucleotide alleles of the human HEXA gene responsible for Tay-Sachs disease and for genotyping SNP alleles near the human p53 tumor suppressor gene. In each case, the final probe signals were normalized against total single-stranded DNA generated in the same reaction. Normalization reduces the coefficient of variation among replicates from 17.22% to as little as 2.78% and permits endpoint genotyping with >99.7% accuracy. These assays are robust because they are consistent over a wide range of input DNA concentrations and give the same results regardless of how many cycles of linear amplification have elapsed. The method is also sufficiently powerful to distinguish between samples with a 1:1 ratio of two alleles from samples comprised of 2:1 and 1:2 ratios of the same alleles. CONCLUSION: SNP genotyping via Two-Temperature LATE-PCR takes place in a homogeneous closed-tube format and uses a single hybridization probe per SNP site. These assays are convenient, rely on endpoint analysis, improve the options for construction of multiplex assays, and are suitable for SNP genotyping, mutation scanning, and detection of DNA duplication or deletions.

Alleles↗

Multiplex minisequencing screen for common Southeast Asian and Indian beta-thalassemia mutations.

BACKGROUND: Beta-thalassemia is endemic to many regions in Southeast Asia and India, and <20 beta-globin gene mutations account for > or =90% of beta-thalassemia alleles in these places. We describe a multiplex minisequencing assay to detect these common mutations. METHODS: Gap-PCR was used to simultaneously amplify the beta-globin gene from genomic DNA and to detect the Delta619bp deletion mutation. Multiplex minisequencing was then performed on the amplified beta-globin fragment to detect an additional 15 common Southeast Asian and Indian beta-thalassemia mutations. Site-specific primers of different lengths were subjected to multiple rounds of annealing and single-nucleotide extension in the presence of thermostable DNA polymerase and the four dideoxynucleotides, each labeled with a different fluorophore. Minisequencing products were separated and detected by capillary electrophoresis, followed by automated genotyping. The optimized assay was subjected to a double-blind validation analysis of 89 beta-thalassemia and wild-type DNA samples of known genotype. RESULTS: Homozygous wild-type or mutant DNA samples produced electropherograms containing only a single colored peak for each mutation site, whereas samples heterozygous for a specific mutation displayed two different-colored peaks for that mutation site. Samples were automatically genotyped based on color and position of primer peaks in the electropherogram. In the double-blind validation analysis, all 89 DNA samples were genotyped correctly (100% assay specificity). CONCLUSIONS: The described semiautomated multiplex minisequencing assay can detect the most common Southeast Asian and Indian beta-thalassemia mutations, is amenable to high-throughput scale up, and may bring population-based screening of beta-thalassemia in endemic regions a step closer to implementation.

Asia, Southeastern↗

Typing single-nucleotide polymorphisms using a gel-based sequencer: a new data analysis tool and suggestions for improved efficiency.

Single-nucleotide polymorphisms (SNPs) are increasingly used as genetic markers. Although a high number of SNP-genotyping techniques have been described, most techniques still have low throughput or require major investments. For laboratories that have access to an automated sequencer, a single-base extension (SBE) assay can be implemented using the ABI SNaPshot trade mark kit. Here we present a modified protocol comprising multiplex template generation, multiplex SBE reaction, and multiplex sample analysis on a gel-based sequencer such as the ABI 377. These sequencers run on a Macintosh platform, but on this platform the software available for analysis of data from the ABI 377 has limitations. First, analysis of the size standard included with the kit is not facilitated. Therefore a new size standard was designed. Second, using Genotyper (ABI), the analysis of the data is very tedious and time consuming. To enable automated batch analysis of 96 samples, with 10 SNPs each, we developed SNPtyper. This is a spreadsheet-based tool that uses the data from Genotyper and offers the user a convenient interface to set parameters required for correct allele calling. In conclusion, the method described will enable any lab having access to an ABI sequencer to genotype up to 1000 SNPs per day for a single experimenter, without investing in new equipment.

Computational Biology↗

Apolipoprotein E haplotyping by denaturing high-performance liquid chromatography.

The apolipoprotein E ( APOE ) gene in humans contains two single-base polymorphisms in exon 4, which result in three common alleles, conventionally named epsilon2 , epsilon3 and epsilon4 . Numerous studies have shown an important association between the epsilon4 variant and an increased risk of Alzheimer's disease; other data suggest a possible linkage of APOE genetic heterogeneity with lipid profile and an increased risk of atherothrombotic stroke and coronary heart disease. APOE genotyping is therefore an increasingly common assay in laboratory medicine. The most widely used technique for APOE genotyping is based upon restriction isotyping, i.e., amplification of the fragment of exon 4 containing the most common sequence variations, followed by enzymatic digestion of the amplicon and fragments analysis by gel electrophoresis. We developed a novel, reliable and fast method that exploits the sensitivity and specificity of denaturing high-performance liquid chromatography in detecting single-nucleotide polymorphisms. We show that, in most cases, with a single chromatographic separation it is possible to correctly identify the six different APOE allelic patterns, without any manipulation after the polymerase chain reaction amplification. When compared to restriction isotyping, our method is much faster, less labor intensive and similarly inexpensive.

Alleles↗

New adjustment factors and sample size calculation in a DNA-pooling experiment with preferential amplification.

In the post-genome era, disease gene mapping using dense genetic markers has become an important tool for dissecting complex inheritable diseases. Locating disease susceptibility genes using DNA-pooling experiments is a potentially economical alternative to those involving individual genotyping. The foundation of a successful DNA-pooling association test is a precise and accurate estimation of allele frequency. In this article, we propose two new adjustment methods that correct for preferential amplification of nucleotides when estimating the allele frequency of single-nucleotide polymorphisms. We also discuss the effect of sample size when calibrating unequal allelic amplification. We conducted simulation studies to assess the performance of different adjustment procedures and found that our proposed adjustments are more reliable with respect to the estimation bias and root mean square error compared with the current approach. The improved performance not only improves the accuracy and precision of allele frequency estimations but also leads to more powerful disease gene mapping.

Algorithms↗

The effect of polymorphisms in the enhancer of split gene complex on bristle number variation in a large wild-caught cohort of Drosophila melanogaster.

The Enhancer of split complex [E(spl)-C] in Drosophila encompasses a variety of functional elements controlling bristle patterning and on the basis of prior work is a strong candidate for harboring alleles having subtle effects on bristle number variation. Here we extend earlier studies identifying associations between complex phenotypes and polymorphisms segregating among inbred laboratory lines of Drosophila and test the influence of E(spl)-C on bristle number variation in a natural cohort. We describe results from an association mapping study using 203 polymorphisms spread throughout the E(spl)-C genotyped in 2000 wild-caught Drosophila melanogaster. Despite power to detect associations accounting for as little as 2% of segregating variation for bristle number, and saturating the region with single-nucleotide polymorphisms (SNPs), we identified no single SNP marker showing a significant (additive over loci) effect after correcting for multiple tests. Using a newly developed test we conservatively identify six regions of the E(spl)-C in which the insertion of transposable elements as a class contributes to variation in bristle number, apparently in a sex- or trait-limited fashion. Finally, we carry out all possible 20,503 two-way tests for epistasis and identify a slight excess of marginally significant interactions, although none survive multiple-testing correction. It may not be straightforward to extend the results of laboratory-based association studies to natural populations.

Animal Structures↗

Pyrosequencing as an alternative to single-strand conformation polymorphism analysis for detection of N-ras mutations in human melanoma metastases.

BACKGROUND: Mutations in codons 12, 13, and 61 of the N-ras gene are common alterations in cutaneous malignant melanoma. We evaluated pyrosequencing, a simple and rapid method used mainly for single-nucleotide polymorphism analysis, as a possible alternative to single-strand conformation polymorphism (SSCP) analysis and sequencing of N-ras. METHODS: We evaluated the sensitivity and accuracy of the pyrosequencing method for identification of mutations in N-ras codons 12, 13, and 61. Nucleotide dispensation orders were created to produce distinct pyrogram peak profiles for the most frequent mutations in codon 61 and codons 12 and 13, respectively. RESULTS: The detection limits for the two most common codon 61 mutations found in malignant melanoma, which code for Arg and Lys, were 30% and 15%, respectively. To evaluate the pyrosequencing method on clinical samples, we performed a parallel analysis of 82 melanoma metastases using SSCP analysis and pyrosequencing. All mutations detected by SSCP analysis and confirmed by sequencing were also correctly identified by pyrosequencing. Codon 61 mutations were identified in 26 of the 82 samples (32%), whereas no mutations were found in codons 12 and 13. Four types of codon 61 mutations, Arg (17%), Lys (10%), Leu (4%), and His (1%), were identified. CONCLUSION: Pyrosequencing is an attractive alternative to SSCP analysis for N-ras mutation detection in malignant melanoma tumor samples because it displays the same sensitivity and accuracy as SSCP analysis and is simple and rapid.

Codon↗