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PubMed2001

IL10.G microsatellites mark promoter haplotypes associated with protection against the development of reactive arthritis in Finnish patients.

OBJECTIVE: To investigate the association of microsatellites and single-nucleotide promoter polymorphisms (SNPs) in the gene for the cytokine interleukin-10 (IL-10) with susceptibility to and outcome of reactive arthritis (ReA). METHODS: From genomic DNA, IL-10 microsatellites G and R and IL-10 promoter polymorphisms at positions -1087 and -524 were typed by polymerase chain reaction, automated fragment length analysis, and restriction fragment digestion in 85 Finnish patients with ReA and 62 HLA-B27-positive Finnish controls. ReA patients had been followed up for 20 years. Genotypes and haplotypes of IL-10 were correlated with distinct features of the disease course, such as triggering agent, chronic arthritis, development of ankylosing spondylitis, and other chronic features. RESULTS: There was a significant decrease in the promoter alleles G12 (allele frequency 0.206 versus 0.033; corrected P < 0.001, odds ratio 0.14) and G10 (0.183 versus 0.092; P < 0.05, odds ratio 0.44) in the ReA group compared with the HLA-B27-positive controls. Chronic arthritis developed significantly more frequently in the B27-positive subjects than in the B27-negative subjects (P < 0.05) as well as in patients with [corrected] the IL10.G8 allele. No associations were observed for either SNP or for the IL10.R microsatellite polymorphism. CONCLUSION: IL10.G12 and G10 microsatellite alleles show a strong protective effect against the development of ReA in Finnish subjects. Since these polymorphic markers themselves do not have direct functional implications, they most likely mark promoter haplotypes with distinct functional properties, suggesting that differential production of IL-10 is an important susceptibility factor for the development of ReA.

Adult↗

PubMed2026

Robust error-minimization in the genetic code across physicochemical metrics and variant codes: A graph-theoretic analysis in GF(2)6.

The standard genetic code reduces the impact of point mutations, but the robustness of this property across physicochemical metrics, naturally occurring variant codes, and codon-reassignment mechanisms remains incompletely quantified. Embedding the 64 codons in GF(2)6 represents the hypercube Q6 as a coordinate-dependent subgraph of the encoding-independent single-nucleotide mutation graph H(3,4), and enables continuous ρ-interpolation between the two. Under a quartet-pattern shuffle null (n=10,000), the standard code is significantly low-cost across four established, code-independent physicochemical distance metrics with partially overlapping content (Grant ham p=0.0062; Miyata p<0.001; Woese polar requirement p=0.003; Kyte-Doolittle hydropathy p=0.001), and the signal strengthens monotonically as ρ moves Q6→H(3,4). A structure-aware sensitivity analysis under the alignment-derived ProtSub matrix (Jia & Jernigan 2021) yields the most extreme percentile of any measure tested (p=0.0004; all five p-values pass Bonferroni at α=0.05). Across the 27 NCBI translation tables, near-optimality is preserved: 11 of 12 informative-distance variants retain top-5% placement after BH-FDR correction. Natural codon reassignments avoid disrupting codon-family connectivity: under the encoding-independent H(3,4) adjacency, observed events are topology-breaking at relative risk 0.32 versus the candidate landscape (permutation p≤10-4). The H(3,4) result is stable by construction; the Q6 decomposition is representation-specific and fails to show depletion under 8 of 24 base-to-bit encodings, so we report H(3,4) as the primary test and Q6 as a sensitivity. Event-level conditional-logit modelling shows that topology avoidance and local physicochemical cost provide complementary, only weakly correlated signal (rs=0.15), and that topology adds explanatory value beyond physicochemistry under both Q6 and encoding-independent H(3,4) adjacency. Retrospective reanalysis of nine genome-recoding datasets is consistent with codon-family topology operating as an evolutionary-trajectory constraint distinct from acute engineering fitness. The contribution is the second axis: code evolution is jointly constrained by physicochemical smoothness and codon-family topological integrity, and these two constraints are partly independent.

Codon reassignment↗

PubMed2026

Advances in CRISPR Base Editing: From Molecular Evolution to Therapeutic Applications in Genomic Medicine.

CRISPR-Cas9 systems revolutionized gene editing, but inherent drawbacks, namely DNA double-strand breaks (DSBs) and the difficulty of achieving precise repairs (due to low HDR efficiency), led researchers to invent new, more accurate gene editing tools. Base editing represents a significant leap forward, enabling targeted single-nucleotide conversions directly on the DNA without DSBs or donor templates. The core technology involves fusing catalytically dead or nickase Cas proteins to DNA deaminase enzymes. Cytosine base editors (CBEs) convert C•G to T•A pairs, while adenine base editors (ABEs) change A•T to G•C. These editors exploit the deaminase function within the R-loop structure formed by Cas binding and co-opt endogenous DNA repair mechanisms for precision. While offering improved efficiency and editing precision, base editing faces persistent challenges, such as off-target effects, bystander edits, delivery and ethical concerns. Continuous engineering efforts have refined these tools, enhancing accuracy, expanding targetability and reducing unwanted edits. The base editing arsenal has also broadened to include C-to-G base editors (CGBEs), dual A&C editors and versions targeting organelles. Successful preclinical studies demonstrating the correction of mutations responsible for the disease have paved the way for clinical trials, which are now testing therapies for conditions like sickle cell disease, β-thalassaemia and hypercholesterolemia using various delivery systems. This review explores CRISPR base editing's origins, mechanisms of action, potential therapies and current restrictions, pointing to its broadening impact on medical genetics.

Humans↗

PubMed2002

Variation in the calpain-10 gene affects blood glucose levels in the British population.

Variation in the calpain-10 gene (CAPN10) has been shown to be associated with type 2 diabetes in Mexican-Americans and in at least three Northern European populations. Studies in nondiabetic Pima Indians showed that one of the at-risk DNA polymorphisms, single-nucleotide polymorphism (SNP)-43, in CAPN10 was associated with insulin resistance, and individuals with the G/G-genotype had significantly higher fasting plasma glucose and 2-h insulin concentrations after a 75-g oral glucose tolerance test (OGTT). We have examined the effect of variation in CAPN10 on plasma glucose and insulin levels in a group of 285 nondiabetic British subjects after a 75-g OGTT. The results showed that subjects with G/G genotype at SNP-43 had higher 2-h plasma glucose levels than the combined G/A + A/A group (P = 0.05). We also examined the SNP-43, -19, and -63 haplotype combination 112/121, which is associated with an approximately threefold increased risk of diabetes. Subjects with the 112/121 haplotype combination (n = 29) had increased fasting (P = 0.004) and 2-h plasma glucose levels (P = 0.003) compared with the rest of the study population after correction for age, sex, and BMI. The 112/121 haplotype combination was also associated with a marked decrease in the insulin secretory response, adjusted for the level of insulin resistance (P = 0.002). We conclude that genetic variation in the CAPN10 gene influences blood glucose levels in nondiabetic British subjects and that this is due, at least in part, to the effects of calpain-10 on the early insulin secretory response.

Adult↗

PubMed2003

Linkage disequilibrium assessment via log-linear modeling of SNP haplotype frequencies.

Analyses of high-density single-nucleotide polymorphism (SNP) data, such as genetic mapping and linkage disequilibrium (LD) studies, require phase-known haplotypes to allow for the correlation between tightly linked loci. However, current SNP genotyping technology cannot determine phase, which must be inferred statistically. In this paper, we present a new Bayesian Markov chain Monte Carlo (MCMC) algorithm for population haplotype frequency estimation, particularly in the context of LD assessment. The novel feature of the method is the incorporation of a log-linear prior model for population haplotype frequencies. We present simulations to suggest that 1) the log-linear prior model is more appropriate than the standard coalescent process in the presence of recombination (>0.02 cM between adjacent loci), and 2) there is substantial inflation in measures of LD obtained by a "two-stage" approach to the analysis by treating the "best" haplotype configuration as correct, without regard to uncertainty in the recombination process.

Algorithms↗

PubMed2001

READIT: a novel technology used in the interrogation of nucleic acid sequences for single-nucleotide polymorphisms.

The ability to perform analyses for single-nucleotide polymorphisms (SNPs) has become routine in many molecular diagnostic laboratories. While various procedures and technologies are available to do so, we evaluated a novel technology for SNP analysis using the Factor V Leiden polymorphism as an example. The Factor V Leiden polymorphism G1691A is the most common genetic abnormality associated with hereditary thrombophilia. Current testing methods remain highly accurate yet their main disadvantage is gel-based detection. The READIT System (Promega Corp., Madison, WI) is a novel approach to SNP analysis that utilizes DNA polymerase-mediated pyrophosphorolysis to release dNTPs, which are converted to ATP and used in a luciferase detection reaction. We screened 280 DNA specimens, previously analyzed using the PCR/MnlI restriction digest assay, to evaluate READIT System capabilities along with the KingFisher robotic magnetic particle processor (ThermoLabsystems). Concordant results were obtained for 278/280 (99%) specimens. One discordant result was due to an equivocal relative light unit while the other was indeterminate. Both specimens gave correct results upon repeat analysis. The READIT System offers several advantages including: (1) rapid SNP analysis, (2) accuracy and precision, (3) cost effectiveness, (4) decreased turn-around times, (5) high throughput, and (6) excellent analysis software.

DNA↗

PubMed2003

Association and interaction of the IL4R, IL4, and IL13 loci with type 1 diabetes among Filipinos.

In the search for genes involved in type 1 diabetes (T1D), other than the well-established risk alleles at the human leukocyte antigen loci, we have investigated the association and interaction of polymorphisms in genes involved in the IL4/IL13 pathway in a sample of 90 Filipino patients with T1D and 94 controls. Ten single-nucleotide polymorphisms (SNPs), including two promoter SNPs in the IL4R locus on chromosome 16p11, one promoter SNP in the IL4 locus on chromosome 5q31, and four SNPs--including two promoter SNPs--in the IL13 locus on chromosome 5q31 were examined for association, linkage disequilibrium, and interaction. We found that both individual SNPs (IL4R L389L; odds ratio [OR] 0.34; 95% confidence interval [CI] 0.17-0.67; P=.001) and specific haplotypes both in IL4R (OR 0.10; 95% CI 0-0.5; P=.001) and for the five linked IL4 and IL13 SNPs (OR 3.47; P=.004) were strongly associated with susceptibility to T1D. Since IL4 and IL13 both serve as ligands for a receptor composed, in part, of the IL4R alpha chain, we looked for potential epistasis between polymorphisms in the IL4R locus on chromosome 16p11 and the five SNPs in the IL4 and IL13 loci on chromosome 5q31 and found, through use of a logistic-regression model, significant gene-gene interactions (P=.045, corrected for multiple comparisons by permutation analysis). Our data suggest that the risk for T1D is determined, in part, by polymorphisms within the IL4R locus, including promoter and coding-sequence variants, and by specific combinations of genotypes at the IL4R and the IL4 and IL13 loci.

Chromosomes, Human, Pair 16↗

PubMed2002

Determination of the factor V Leiden single-nucleotide polymorphism in a commercial clinical laboratory by use of NanoChip microelectronic array technology.

BACKGROUND: Methods for analysis of the single-nucleotide polymorphism (SNP) known as factor V Leiden (FVL) are described. The technique provides rapid, highly accurate detection of the point mutation that encodes for replacement of arginine-506 with glutamine. After formal assay qualification, 758 clinical samples that had previously been analyzed by the Invader Monoplex Assay were tested as research samples in a commercial clinical laboratory. METHODS: Primers specific for factor V (FV) were prepared, and PCR was performed. Samples were analyzed using the NanoChip Molecular Biology Workstation with fluorescently labeled reporters for wild-type and SNP sequences. RESULTS: Of the 635 samples classified by the Third Wave assay as FV wild type, 10 were identified as heterozygous FVL by the NanoChip technique. Similarly, of the 114 putative heterozygous samples, 4 were wild type, and of the 9 reported homozygous samples, 6 were homozygous, 2 were heterozygous, and 1 was FV wild type by the NanoChip assay. All 17 results that were discordant with the Third Wave analysis were confirmed by DNA sequencing to be correctly classified by the NanoChip technology. The Nanochip system was 100% accurate in characterizing wild-type, heterozygous, and homozygous samples compared with accuracies of 99.2%, 90.2%, and 100% for the comparable Third Wave analysis. CONCLUSIONS: The NanoChip microelectronic chip array technology is an accurate and convenient method for FVL screening of research samples in a clinical laboratory environment.

Autoanalysis↗

PubMed2026

No receptor-binding domain adaptation detected in within-host H5N1 surveillance of 4,559 US dairy outbreak sequences.

BACKGROUND: The 2024-2026 US H5N1 clade 2.3.4.4b dairy cattle outbreak has been characterised primarily through consensus-level phylogenetics. Whether mammalian-adaptation variants are emerging at sub-consensus frequencies within infected hosts, particularly at the haemagglutinin receptor-binding domain (RBD), remains unknown because no systematic within-host variant analysis of the public sequencing corpus has been performed. METHODS: We conducted a pre-registered, corpus-wide intrahost single-nucleotide variant (iSNV) analysis of all publicly available H5N1 cattle, feline-spillover, and retail-milk sequences on the NCBI Sequence Read Archive (4559 samples across 7 BioProjects). A dual-caller concordance pipeline (iVar + LoFreq) with empirically determined allele frequency (AF) threshold (3%, set via four-criterion validation including synthetic spike-in controls) was applied to an 11-site Tier 1 mammalian-adaptation panel spanning the polymerase complex, haemagglutinin RBD, and accessory proteins. Within-host nucleotide diversity was compared across host categories. RESULTS: The HA RBD sites Q226L and G228S (H3 numbering) showed zero detections across >4300 adequately sequenced samples at all AF thresholds tested (1-5%), despite the pipeline detecting other non-synonymous variants at these exact codon positions (upper 95% CI for prevalence: 0.08%). Seven of eleven adaptation sites carried statistically significant iSNV signals after Bonferroni correction (corrected α = 0.00417), though all at low prevalence (≤2.95%). Genotype stratification showed that most polymerase-site detections reflected genotype structure rather than within-host emergence: the apparent PB2 631 L→M "reversion" was largely the ancestral avian state of the D1.1 genotype (20 of 23 detections), which never acquired the 631L mammalian adaptation, with only two genuine sub-consensus events in the B3.13 background, while consensus-level PB2 701N was a fixed feature of the D1.1 genotype (10 of 14 detections) rather than independent sub-consensus emergence. Cattle exhibited significantly higher within-host nucleotide diversity than feline-spillover samples (π = 1.59 × 10-4 vs 6.11 × 10-5; Kruskal-Wallis p = 6.6 × 10-15), a finding that persisted after depth-matching (p = 4.6 × 10-5); this may reflect prolonged mammary-gland infection, though sampling differences and host biology cannot be excluded. CONCLUSIONS: We did not detect HA receptor-switching adaptation (the acquisition of human-type α2,6 receptor binding via Q226L/G228S) at any tested allele frequency in the US dairy H5N1 outbreak. Sub-consensus mammalian-adaptation signals exist at polymerase-complex sites but at low prevalence, are genotype-structured rather than independently recurrent, and require functional characterisation before informing risk assessment.

Dairy cattle↗

PubMed2001

A high-throughput SNP typing system for genome-wide association studies.

One of the most difficult issues to be solved in genome-wide association studies is to reduce the amount of genomic DNA required for genotyping. Currently available technologies require too large a quantity of genomic DNA to genotype with hundreds or thousands of single-nucleotide polymorphisms (SNPs). To overcome this problem, we combined the Invader assay with multiplex polymerase chain reaction (PCR), carried out in the presence of antibody to Taq polymerase, as well as using a novel 384-well card system that can reduce the required reaction volume. We amplified 100 genomic DNA fragments, each containing one SNP, in a single tube, and analyzed each SNP with the Invader assay. This procedure correctly genotyped 98 of the 100 SNP loci examined in PCR-amplified samples from ten individuals: the genotypes were confirmed by direct sequencing. The reproducibility and universality of the method were confirmed with two additional sets of 100 SNPs. Because we used 40 ng of genomic DNA as a template for multiplex PCR, the amount needed to assay one SNP was only 0.4 ng; therefore, theoretically, more than 200,000 SNPs could be genotyped at once when 100 microg of genomic DNA is available. Our results indicate the feasibility of undertaking genome-wide association studies using blood samples of only 5-10 ml.

Alleles↗

PubMed2026

SeqQC-former: A sequence-quality fusion framework for QC-aware review prioritization of candidate somatic SNVs in cancer genomics.

The accurate prioritization of candidate somatic single-nucleotide variants (SNVs) remains a challenge due to the substantial variability in sequencing quality across genomic loci. SeqQC-Former is a sequence-quality fusion framework that integrates the local nucleotide context with read-level quality-control (QC) covariates derived from matched tumor-normal sequencing data. This integration generates QC-aware prioritization scores for the downstream review of candidate variants. Unlike conventional variant callers, SeqQC-Former is designed not to infer biological truth but to support post-calling review and prioritization under heterogeneous sequencing conditions. The framework was trained and evaluated on a SEQC2-derived dataset comprising 89,447 candidate loci, including 1378 positive and 88,069 negative loci. In chromosome-held-out validation, which aims to reduce potential genomic-position leakage, SeqQC-Former demonstrated strong discrimination (AUROC = 0.9479; AUPRC = 0.9448), indicating good generalization to previously unseen chromosomes. Given that the SEQC2-derived labels contain QC-associated information; these results should be interpreted as an evaluation of QC-aware prioritization capability rather than an independent validation of biological variant correctness. Ablation analyses revealed that structured QC covariates provided the dominant predictive signal under the current SEQC2-derived labeling regime. SeqQC-Former achieved a significantly higher AUROC than classical machine-learning baselines, as determined by DeLong's test (p < 0.01). Application to 53,164 glioblastoma variants demonstrated that external predictions were sensitive to QC scaling and threshold selection, underscoring that model outputs should be interpreted as QC-dependent prioritization scores rather than calibrated probabilities or definitive biological classifications. Overall, SeqQC-Former offers a reproducible post-calling QC-aware prioritization framework for large-scale somatic SNV review and underscores the importance of explicitly modeling sequencing-quality information when interpreting structured cancer genomics datasets.

Humans↗

PubMed2003

DNA polymerase X of African swine fever virus: insertion fidelity on gapped DNA substrates and AP lyase activity support a role in base excision repair of viral DNA.

DNA polymerase X (pol X) from African swine fever virus (ASFV) is the smallest naturally ocurring DNA-directed DNA polymerase (174 amino acid residues) described so far. Previous biochemical analysis has shown that ASFV pol X is a highly distributive, monomeric enzyme, lacking a proofreading 3'-5' exonuclease. Also, ASFV pol X binds intermediates of the single-nucleotide base excision repair (BER) process, and is able to efficiently repair single-nucleotide gapped DNA. In this work, we perform an extensive kinetic analysis of single correct and incorrect nucleotide insertions by ASFV pol X using different DNA substrates: (i) a primer/template DNA; (ii) a 1nt gapped DNA; (iii) a 5'-phosphorylated 1nt gapped DNA. The results obtained indicate that ASFV pol X exhibits a general preference for insertion of purine deoxynucleotides, especially dGTP opposite template C. Moreover, ASFV pol X shows higher catalytic efficiencies when filling in gapped substrates, which are increased when a phosphate group is present at the 5'-margin of the gap. Interestingly, ASFV pol X misinserts nucleotides with frequencies from 10(-4) to 10(-5), and the insertion fidelity varies depending on the substrate, being more faithful on a phosphorylated 1nt gapped substrate. We have analyzed the capacity of ASFV pol X to act on intermediates of BER repair. Although no lyase activity could be detected on preincised 5'-deoxyribose phosphate termini, ASFV pol X has lyase activity on unincised abasic sites. Altogether, the results support a role for ASFV pol X in reparative BER of damaged viral DNA during ASFV infection.

African Swine Fever↗

PubMed2000

Automated identification of amino acid sequence variations in proteins by HPLC/microspray tandem mass spectrometry.

Amino acid sequence variations resulting from single-nucleotide polymorphisms (SNPs) were identified using a novel mass spectrometric method. This method obtains 99+% protein sequence coverage for human hemoglobin in a single LC-microspray tandem mass spectrometry (microLC-MS/MS) experiment. Tandem mass spectrometry data was analyzed using a modified version of the computer program SEQUEST to identify the sequence variations. Conditions of sample preparation, chromatographic separation, and data collection were optimized to correctly identify amino acid changes in six variants of human hemoglobin (Hb C, Hb E, Hb D-Los Angeles, Hb G-Philadelphia, Hb Hope, and Hb S). Hemoglobin proteins were isolated and purified, dehemed, (S)-carboxyami-domethylated, and then subjected to a combination proteolytic digestion to obtain a complex peptide mixture with multiple overlaps in sequence. Reversed-phase chromatographic separation of peptides was achieved on-line with MS utilizing a robust fritless microelectrospray interface. Tandem mass spectrometry was performed on an ion trap mass spectrometer using automated data-dependent MS/MS procedures. Tandem mass spectra were collected from the five most abundant ions in each scan using dynamic and isotopic exclusion to minimize redundancy. The spectra were analyzed by a version of the SEQUEST algorithm modified to identify amino acid substations resulting from SNPs.

Amino Acid Sequence↗

PubMed2003

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↗

PubMed2001

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↗

PubMed2000

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↗

PubMed2003

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↗

PubMed2003

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↗