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Results for “single nucleotide polymorphisms”

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At least 541 records · Page 30Linked to original sources
PubMed2005

Reliable high-throughput genotyping and loss-of-heterozygosity detection in formalin-fixed, paraffin-embedded tumors using single nucleotide polymorphism arrays.

Most human cancers show genetic instabilities leading to allelic imbalances, including loss of heterozygosity (LOH). Single nucleotide polymorphism (SNP) arrays can be used to detect LOH. Currently, these arrays require intact genomic DNA as obtained from frozen tissue; however, for most cancer cases, only low-quality DNA from formalin-fixed, paraffin-embedded (FFPE) tissue is available. In this study, we tested Illumina BeadArrays to genotype FFPE tissue and detect LOH/allelic imbalances in matched colorectal tumor and normal tissue. Genotypes were compared between leukocyte and FFPE normal tissue as well as between frozen and FFPE tumor tissue. Identical genotypes and LOH profiles were obtained from normal and tumor isolates. LOH was mainly observed on chromosomes 4, 5q, 12q, 14q, 15q, 17p, 18, and 20p, which are commonly detected regions in colorectal cancer. LOH profiles of the BeadArrays were compared with profiles obtained by Affymetrix GeneChip 10K arrays, showing identical LOH patterns. These data show that genome-wide genotyping of FFPE tissue with the BeadArray gives reliable results and is a powerful technique for LOH analysis.

Colorectal Neoplasms↗
PubMed2003

Optimized sensitivity of allele-specific PCR for prenatal typing of human platelet alloantigen single nucleotide polymorphisms.

PCR using sequence-specific primers (PCR-SSP) is widely employed for the genotyping of single nucleotide polymorphisms (SNPs) in both routine diagnosis and medical research. The human platelet alloantigens (HPAs) represent SNPs in platelet-specific glycoproteins, and HPA-1, -2, -3, and -5 are the most relevant in immunohematology. In most protocols, the respective HPA-SNPs are analyzed in allele-specific reactions, each with at least 100 ng DNA. In many cases, prenatal HPA typing in the diagnosis of neonatal alloimmune thrombocytopenia is often limited by the restricted amounts of fetal DNA that are obtainable. We developed a novel PCR-SSP technique to achieve accurate HPA genotypes using only 1 ng DNA per reaction. The concentration of HPA-specific primers was increased to 1 microM each and exhibited a higher sensitivity compared to a commercial PCR-SSP kit. The modified PCR-SSP technique enabled the identification of fetal HPA genotypes using only 0.5 mL amniotic fluid (from week 16 of gestation) and from a maternal plasma sample (from week 38 of gestation). The principle of the modified PCR-SSP technique may also be applied for the genotyping of other SNPs from limited amounts of DNA.

Amniocentesis↗
PubMed2004

Single nucleotide polymorphism analysis by chip-based hybridization and direct current electrical detection of gold-labeled DNA.

Single nucleotide polymorphism (SNP) analysis at the point of care requires a low cost detection technology that is capable of miniaturization, multiplexing, and high sensitivity. Direct current electrical detection (DCED) of DNA following nanoparticle labeling and silver enhancement is a promising candidate technology for point-of-care diagnostics. In this work we present, for the first time, SNP analysis in PCR products from patient samples using DCED, taking this platform technology a step closer to practical application. We developed a silane functionalized polymer for coating of biochip surfaces. This polymeric coating is stable under harsh conditions and has exceptionally high binding capacity. Allele-specific oligonucleotide probes were immobilized on chips coated with this polymer. Biotinylated PCR products of the human cholesteryl ester transfer protein gene from different patients were hybridized to the chips, labeled with gold nanoparticles, and autometallographically enhanced. The chips were scanned for DC electrical resistance by applying movable electrodes to the surface. Eighteen of nineteen patient samples were assigned the correct genotype. Our results demonstrate that SNP analysis of patient samples is feasible with DCED.

Affinity Labels↗
PubMed2001

[Association of single nucleotide polymorphisms in code region of beta2-adrenoceptor gene with hypertension in Chinese population].

OBJECTIVE: To detect single nucleotide polymorphisms(SNPs) existing in code region of beta(2)-adrenoceptor(2-AR) gene and to investigate association of the identified SNPs with essential hypertension in Chinese Han population. METHODS: Beta(2)-AR gene was sequenced with fluorescent labelling automatic sequencing method in unrelated Chinese Han population from Dabie Mountain in Anhui Province. Genotype of the SNPs were typed with PCR-RFLP method. RESULTS: Two SNPs were identified in length of 774bp, at position + 1053 with G-->C substitution and + 1239 with A-->G substitution respectively. The frequency of genotype of the two SNPs complied well with the Hardy-Weinberg equilibrium in normal group. Distribution of genotype AA, GA, GG of the SNPs at locus + 1239 in hypertension group was significantly different from that in normal group (chi(2) = 6.70, df = 2, P < 0.05). No significant difference was observed in distribution of genotypes of the SNPs at locus + 1053 between the two groups. CONCLUSION: These results indicate that the SNPs at locus + 1239 of beta(2)-AR gene is associated with EH. The SNPs at position + 1053 was not linked to hypertension.

Aged↗
PubMed2006

Association study of major risk single nucleotide polymorphisms in the common regulatory region of PARK2 and PACRG genes with leprosy in an Indian population.

Single nucleotide polymorphisms (SNPs) in the regulatory region shared by PARK2 and PACRG have been identified as major risk factors for leprosy susceptibility in two ethnically distinct populations. We investigated the association of six SNPs present in this regulatory region with leprosy susceptibility in an Indian population. Genotyping was performed by direct PCR sequencing in 286 leprosy patients and 350 healthy controls. Our results showed that T allele of SNPs PARK2_e01 (-2599) and 28 kb target_2_1 was significantly associated with susceptibility to leprosy per se (P=0.03 and 0.03, respectively). The T allele of SNPs PARK2_e01 (-2599) showed a significant recessive effect (P=0.04) in susceptibility to leprosy in Indian population as against the dominant effect of haplotype T-C of the major risk SNPs PARK2_e01 (-2599) and rs1040079 in Brazilian and Vietnamese population. However, after bonferroni corrections, these significant differences disappeared. Haplotype analysis also showed a lack of significant association of any haplotype with cases or controls. The noninvolvement of major risk SNPs in the regulatory region of PARK2 and PACRG locus with leprosy susceptibility in Indian population highlights the differential effect of these SNPs in regulating genetic susceptibility to leprosy in different populations.

Adolescent↗
PubMed2004

The single nucleotide polymorphism Ser128Arg in the E-selectin gene is associated with enhanced coagulation during human endotoxemia.

The single nucleotide polymorphism (SNP) Ser128Arg in the E-selectin gene is overrepresented in certain patient groups with atherosclerosis or restenosis. We hypothesized and tested whether it may affect cytokine-induced levels of soluble (s) E-selectin, or be associated with proinflammatory or procoagulant properties in a well-standardized inflammation model. Healthy male volunteers (n = 157) received a lipopolysaccharide (LPS) infusion and were genotyped for the S128R SNP, and outcome parameters were measured by enzyme immunoassays and real-time polymerase chain reaction (RT-PCR, Taqman). The S128R SNP had no pronounced effects on basal or inducible sE-selectin levels, or levels of tumor necrosis factor or interleukin-6. However, carriers of the S128R SNP had 20% higher monocyte counts at 24 hours after LPS infusion. Importantly, the S128R allele enhanced thrombin generation by 50% to 80%, as measured by prothrombin fragment F(1+2) (P < .01), and hence fibrin formation (D-dimer) 2-fold (P = .01 to P = .002). However, tissue factor (TF) mRNA levels were not affected. The S128R E-selectin genotype is associated with procoagulant effects in a human model of endotoxin-induced, TF-triggered coagulation. This could contribute to its linkage with various thrombotic cardiovascular disorders.

Amino Acid Substitution↗
PubMed2005

Detection of single nucleotide polymorphism in the FUT2 gene by temperature gradient gel electrophoresis.

A simple and rapid analysis system for single nucleotide polymorphisms (SNPs) was investigated for the FUT2 gene using the temperature gradient gel electrophoresis (TGGE) method. The 426-bp or 259-bp FUT2 fragments were amplified from heterozygous samples using primers, and the heteroduplex and homoduplex bands were detected by TGGE. The FUT2 fragments amplified from homozygous samples were denatured and re-annealed with a known sequence fragment, forming heteroduplex bands which were analyzed by TGGE. The fragment patterns of homoduplex and heteroduplex bands in TGGE were specific to the genotypes, and more specifically, the number of heteroduplex bands and the migration of the homoduplex bands corresponded to the number of nucleotide substitutions and the change in GC content due to the substitutions, respectively. Thus, the TGGE technique can act as a high-throughput method for the detection and the presumption of sequences of known and unknown SNPs in the FUT2 gene.

DNA Primers↗
PubMed2003

Estimating haplotype frequencies and standard errors for multiple single nucleotide polymorphisms.

Estimating haplotype frequencies becomes increasingly important in the mapping of complex disease genes, as millions of single nucleotide polymorphisms (SNPs) are being identified and genotyped. When genotypes at multiple SNP loci are gathered from unrelated individuals, haplotype frequencies can be accurately estimated using expectation-maximization (EM) algorithms (Excoffier and Slatkin, 1995; Hawley and Kidd, 1995; Long et al., 1995), with standard errors estimated using bootstraps. However, because the number of possible haplotypes increases exponentially with the number of SNPs, handling data with a large number of SNPs poses a computational challenge for the EM methods and for other haplotype inference methods. To solve this problem, Niu and colleagues, in their Bayesian haplotype inference paper (Niu et al., 2002), introduced a computational algorithm called progressive ligation (PL). But their Bayesian method has a limitation on the number of subjects (no more than 100 subjects in the current implementation of the method). In this paper, we propose a new method in which we use the same likelihood formulation as in Excoffier and Slatkin's EM algorithm and apply the estimating equation idea and the PL computational algorithm with some modifications. Our proposed method can handle data sets with large number of SNPs as well as large numbers of subjects. Simultaneously, our method estimates standard errors efficiently, using the sandwich-estimate from the estimating equation, rather than the bootstrap method. Additionally, our method admits missing data and produces valid estimates of parameters and their standard errors under the assumption that the missing genotypes are missing at random in the sense defined by Rubin (1976).

Algorithms↗
PubMed2006

[Haplotypes of four single nucleotide polymorphisms in caspase-8, -10 genes in Han nationality of Zhejiang province in China].

OBJECTIVE: To investigate single nucleotide polymorphisms (SNPs) and the distribution of their haplotypes in caspase-8, -10 genes in Zhejiang Han nationality in China. METHODS: PCR, denaturing high-performance liquid chromatography (DHPLC) and DNA sequencing were used to detect the SNPs in the 2nd-5th exons of caspase-10 gene, the 8th-10th exons of caspase-8 and their flanking sequences. Expectation Maximization (EM) algorithm was used for haplotype frequencies analysis and pairwise linkage disequilibrium (LD) test. RESULTS: (1) Two SNPs, A2823G and A12799G, were identified in caspase-10 gene, located in exon 2 and exon 5 respectively. A12799G was newly found with low informativeness. Three SNPs were identified in caspase-8 gene; A43466G, G51484A and G52951A were located in exon 8, exon 9 and intron 9, respectively. They do not change the primary structure of the encoded protein. (2) Linkage equilibrium was observed between A2823G in caspase-10 gene and the three sites in caspase-8 gene. A43466G and G52951A, and G51484A and G52951A in caspase-8 gene were also in linkage equilibrium. Their coefficients of disequilibrium were near 0. Whereas strong linkage disequilibrium was observed between A43466G and G51484A, because its coefficient of disequilibrium was near 1. (3) A total of 11 haplotypes were estimated within A2823G in caspase-10 gene and three sites in caspase-8 gene. A-2823/A-43466/G-51484/G-52951 was the main haplotype with a frequency of 0.3811. A-2823/A-43466/G-51484/A-52951 was the second haplotype with a frequency of 0.2536. The polymorphism information content of their haplotypes was 0.7106. CONCLUSION: The SNPs of caspase-8, -10 genes in Han Chinese of Zhejiang could be parsed into at least three different haplotype blocks. The polymorphism information content can be improved by using haplotype analysis of several SNPs.

Alleles↗
PubMed2002

Detection of single nucleotide polymorphisms using electrospray ionization mass spectrometry: validation of a one-well assay and quantitative pooling studies.

Single nucleotide polymorphisms (SNPs) are currently being mapped and databased at a remarkable pace, providing a viable means for understanding disease susceptibility, differential drug response and human evolution. Consequently, there is an increasing demand for SNP genotyping technologies that are simple, rapid, cost effective and readily amenable to automation for high-throughput analyses. In this study, we improved the Survivor Assay, a SNP detection method based on electrospray ionization mass spectrometry (ESI-MS), with several developments. One improvement is the development of a one-well assay, requiring no off-line purification of the polymerase chain reaction product, achieved by simple addition of reagent solution into a single well. Another is the on-line separation of magnesium and dideoxynucleotides using an in-house made monolithic metal chelating column, eliminating any off-line sample preparation prior to mass spectrometric analysis. Here the Survivor Assay is extended from a proof-of-principle concept to a validated method by genotyping six SNPs from five different regions of human genomic DNA in 55 individual samples with 100% accuracy. This improved Survivor Assay eliminates the tedious and time-consuming steps of sample preparation, minimizes sample handing and offers a high-throughput analysis of SNPs by ESI-MS. The current combined preparation and analysis time is 2 min per sample. The simplicity of this method has potential for full automation and parallel chromatography and, thus, reduced analysis time. In addition, we have adapted the Survivor Assay for quantitative SNP analysis in pooled DNA samples. The capabilities and sensitivity of this approach were evaluated. We demonstrate that an allele occurring at a frequency of 2% can consistently be quantitated.

Alleles↗
PubMed2001

Bayesian haplotype inference for multiple linked single-nucleotide polymorphisms.

Haplotypes have gained increasing attention in the mapping of complex-disease genes, because of the abundance of single-nucleotide polymorphisms (SNPs) and the limited power of conventional single-locus analyses. It has been shown that haplotype-inference methods such as Clark's algorithm, the expectation-maximization algorithm, and a coalescence-based iterative-sampling algorithm are fairly effective and economical alternatives to molecular-haplotyping methods. To contend with some weaknesses of the existing algorithms, we propose a new Monte Carlo approach. In particular, we first partition the whole haplotype into smaller segments. Then, we use the Gibbs sampler both to construct the partial haplotypes of each segment and to assemble all the segments together. Our algorithm can accurately and rapidly infer haplotypes for a large number of linked SNPs. By using a wide variety of real and simulated data sets, we demonstrate the advantages of our Bayesian algorithm, and we show that it is robust to the violation of Hardy-Weinberg equilibrium, to the presence of missing data, and to occurrences of recombination hotspots.

Algorithms↗
PubMed2006

Association between a variation in LRCH1 and knee osteoarthritis: a genome-wide single-nucleotide polymorphism association study using DNA pooling.

OBJECTIVE: To perform a large-scale association analysis of single-nucleotide polymorphisms (SNPs) in patients with radiographically defined osteoarthritis (OA) of the knee. METHODS: We examined >25,000 SNPs located within approximately 14,000 genes for associations with radiographically defined knee OA, using polymerase chain reaction and MassExtend amplification techniques. Allele frequencies were estimated initially in DNA pools from 335 female patients with knee OA and 335 asymptomatic and radiographically negative female control subjects. All were of northern European ancestry. Significant allele frequency differences were validated by genotyping of individual DNA samples. Confirmed significant findings were verified in 2 additional case-control samples from the UK (443 cases and 303 controls) and Newfoundland (346 cases and 264 controls). Chondrosarcoma cell lines were used to test for potential differences in gene expression. RESULTS: The marker most strongly associated with the risk of knee OA was rs912428, a C/T polymorphism in intron 1 of LRCH1, a gene on chromosome 13q14 that encodes a novel protein of as-yet-unknown function. The frequency of the T allele compared with controls was consistently increased by 40% across all 3 case-control groups. Additional subanalyses in case-control samples with hip OA and hand OA suggested similar trends, but did not reach statistical significance. Association fine-mapping using 10 additional SNPs in LRCH1 confirmed intron 1 as the region of highest association but failed to reveal variations with significance stronger than the marker SNP, as did the haplotype analysis. LRCH1 was not up-regulated or overexpressed in chondrosarcoma cell lines exposed to inflammatory stimuli, suggesting a possible structural role. CONCLUSION: A genetic variant in LRCH1 was consistently associated with knee OA in 3 samples from 2 populations. Our results also suggest that the same association with OA may exist at other sites. Additional genetic and experimental work is needed to elucidate the precise mechanism by which the LRCH1 gene influences OA risk.

Aged↗
PubMed2004

Linkage disequilibrium mapping via cladistic analysis of single-nucleotide polymorphism haplotypes.

We present a novel approach to disease-gene mapping via cladistic analysis of single-nucleotide polymorphism (SNP) haplotypes obtained from large-scale, population-based association studies, applicable to whole-genome screens, candidate-gene studies, or fine-scale mapping. Clades of haplotypes are tested for association with disease, exploiting the expected similarity of chromosomes with recent shared ancestry in the region flanking the disease gene. The method is developed in a logistic-regression framework and can easily incorporate covariates such as environmental risk factors or additional unlinked loci to allow for population structure. To evaluate the power of this approach to detect disease-marker association, we have developed a simulation algorithm to generate high-density SNP data with short-range linkage disequilibrium based on empirical patterns of haplotype diversity. The results of the simulation study highlight substantial gains in power over single-locus tests for a wide range of disease models, despite overcorrection for multiple testing.

Chromosome Mapping↗
PubMed2004

Single nucleotide polymorphism detection in aldehyde dehydrogenase 2 (ALDH2) gene using bacterial magnetic particles based on dissociation curve analysis.

Single nucleotide polymorphism (SNP) detection for aldehyde dehydrogenase 2 (ALDH2) gene based on DNA thermal dissociation curve analysis was successfully demonstrated using an automated system with bacterial magnetic particles (BMPs) by developing a new method for avoiding light scattering caused by nanometer-size particles when using commercially available fluorescent dyes such as FITC, Cy3, and Cy5 as labeling chromophores. Biotin-labeled PCR products in ALDH2, two allele-specific probes (Cy3-labeled detection probe for ALDH2*1 and Cy5-labeled detection probe for ALDH2*2), streptavidin-immobilized BMPs (SA-BMPs) were simultaneously mixed. The mixture was denatured at 70 degrees C for 3 min, cooled slowly to 25 degrees C, and incubated for 10 min, allowing the DNA duplex to form between Cy3- or Cy5-labeled detection probes and biotin-labeled PCR products on SA-BMPs. Then duplex DNA-BMP complex was heated to 58 degrees C, a temperature determined by dissociation curve analysis and a dissociated single-base mismatched detection probe was removed at the same temperature under precise control. Furthermore, fluorescence signal from the detection probe was liberated into the supernatant from completely matched duplex DNA-BMP complex by heating to 80 degrees C and measured. In the homozygote target DNA (ALDH2*1/*1 and ALDH2*2/*2), the fluorescence signals from single-base mismatched were decreased to background level, indicating that mismatched hybridization was efficiently removed by the washing process. In the heterozygote target DNA (ALDH2*1/*2), each fluorescence signals was at a similar level. Therefore, three genotypes of SNP in ALDH2 gene were detected using the automated detection system with BMPs.

Aldehyde Dehydrogenase↗