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PubMed2002

Automated identification of single nucleotide polymorphisms from sequencing data.

Single nucleotide polymorphisms (SNPs) provide abundant information about genetic variation. Large scale discovery of high frequency SNPs is being undertaken using various methods. However, the publicly available SNP data are not always accurate, and therefore should be verified. If only a particular gene locus is concerned,locus-specific polymerase chain reaction amplification may be useful. Problem of this method is that the secondary peak has to be measured. We have analyzed trace data from conventional sequencing equipment and found an applicable rule to discern SNPs from noise. We have developed software that integrates this function to automatically identify SNPs. The software works accurately for high quality sequences and also can detect SNPs in low quality sequences. Further, it can determine allele frequency, display this information as a bar graph and assign corresponding nucleotide combinations. It is very useful for identifying de novo SNPs in a DNA fragment of interest.

Algorithms↗
PubMed2006

Association of DAZL haplotypes with spermatogenic failure in infertile men.

OBJECTIVE: To identify novel DAZL single nucleotide polymorphisms (SNPs) and to compare allele/genotype frequencies, linkage disequilibrium (LD) characteristics, and DAZL haplotypes between fertile and infertile men. DESIGN: Prospective case study. SETTING: University genetics laboratory and reproductive clinics. PATIENT(S): Two hundred thirty-one infertile men and 191 men with proven fertility. INTERVENTION(S): Single strand conformation polymorphism and sequence analysis for DAZL gene polymorphism screening were done for all subjects enrolled. MAIN OUTCOME MEASURE(S): Novel SNPs, allele/genotype frequencies, LD characteristics, and DAZL haplotypes between fertile and infertile men. RESULT(S): Five SNPs were identified: 260A>G, 386A>G, 520+34c>a, 584+28c>t and 796+36g>a. SNP 386A>G was significantly associated with spermatogenic failure and was mainly heterozygous in infertile patients. The major haplotypes in infertile men were AACTA (45.8%), followed by AACCG, AAATA, AAACG, and GGACG for 260A>G/386A>G/520+34c>a/584+28c>t/796+36g>a. The major haplotypes for the control subjects were AACCG (41.7 %), AAATA, and AACTA. Of all haplotypes, five showed significant differences in frequency between infertile men and control subjects. Haplotypes AACTA, AAACG, and GGACG were overtransmitted in patients with spermatogenic failure, whereas haplotypes AACCG and AAATA were undertransmitted in these patients. CONCLUSION(S): Our study suggests the association of autosomal DAZL haplotypes with human spermatogenic failure.

DNA Mutational Analysis↗
PubMed2007

VEGF, FGF1, FGF2 and EGF gene polymorphisms and psoriatic arthritis.

BACKGROUND: Angiogenesis appears to be a first-order event in psoriatic arthritis (PsA). Among angiogenic factors, the cytokines vascular endothelial growth factor (VEGF), epidermal growth factor (EGF), and fibroblast growth factors 1 and 2 (FGF1 and FGF2) play a central role in the initiation of angiogenesis. Most of these cytokines have been shown to be upregulated in or associated with psoriasis, rheumatoid arthritis (RA) or ankylosing spondylitis (AS). As these diseases share common susceptibility associations with PsA, investigation of these angiogenic factors is warranted. METHODS: Two hundred and fifty-eight patients with PsA and 154 ethnically matched controls were genotyped using a Sequenom chip-based MALDI-TOF mass spectrometry platform. Four SNPs in the VEGF gene, three SNPs in the EGF gene and one SNP each in FGF1 and FGF2 genes were evaluated. Statistical analysis was performed using Fisher's exact test, and the Cochrane-Armitage trend test. Associations with haplotypes were estimated by using weighted logistic models, where the individual haplotype estimates were obtained using Phase v2.1. RESULTS: We have observed an increased frequency in the T allele of VEGF +936 (rs3025039) in control subjects when compared to our PsA patients [Fisher's exact p-value = 0.042; OR 0.653 (95% CI: 0.434, 0.982)]. Haplotyping of markers revealed no significant associations. CONCLUSION: The T allele of VEGF in +936 may act as a protective allele in the development of PsA. Further studies regarding the role of pro-angiogenic markers in PsA are warranted.

Adult↗
PubMed2003

Single nucleotide polymorphisms and haplotype frequencies of CYP3A5 in a Japanese population.

In order to identify single nucleotide polymorphisms (SNPs) and haplotype frequencies of CYP3A5 in a Japanese population, we sequenced the proximal promoter region, all exons, and the surrounding intronic regions using genomic DNA from 187 Japanese subjects. Thirteen SNPs, including seven novel ones: 13108T>C, 16025A>G, 16903A>G, 16993C>G, 27448C>A, 29782A>G, and 31551T>C (A of the translational start codon of GenBank Accession # NG_000004.2 is numbered 1 according to the CYP Allele Nomenclature), were identified. The most common SNP was 6986A>G (key SNP for CYP3A5*3), with a 0.759 frequency. Two novel SNPs, 29782A>G (I456V) and 31551T>C (I488T), as well as 12952T>C (*5 marker) were found, but these alterations were always associated with the *3A marker SNPs, 6986A>G and 31611C>T. Using these 13 SNPs, haplotype analysis was performed and five novel *1 haplotypes (subtypes) (*1e to *1i) and six novel *3 haplotypes (subtypes) (*3d to *3i) were identified. Our findings suggest that CYP3A5*3 is the major defective allele and that other functional exonic SNPs are rare in the Japanese.

Adult↗
PubMed2003

Identification of single nucleotide polymorphisms in the human gamma-glutamyl hydrolase gene and characterization of promoter polymorphisms.

gamma-Glutamyl hydrolase (GGH) plays a central role in folate metabolism and antifolate action. Increased GGH activity has been found in rat hepatoma cells resistant to the cancer drug methotrexate (MTX). The aim of this study was to identify polymorphisms in the GGH gene that modulate GGH activity and that may affect methotrexate resistance. Exons of the human gamma-glutamyl hydrolase (hGGH) gene were amplified by polymerase chain reaction (PCR) from breast cancer tissue and leukemia cell lines. Single-stranded conformational polymorphism (SSCP) analysis was performed, and PCR products containing different patterns were cloned and sequenced. Six single nucleotide polymorphisms (SNPs) were identified, at bases -401C>T, -354G>T, -124T>G, +16T>C, +452C>T, and +1102A>G, relative to the A of the translation start codon being considered as +1. The SNP at +16, which changes codon -19 (relative to the start of the mature hGGH protein) in the endoplasmic reticulum targeting sequence of hGGH protein from cysteine to arginine, has previously been identified in this laboratory. The SNP at +452 changes the conserved hGGH protein codon 127 from threonine to isoleucine. The functions of SNPs in the promoter of the hGGH gene were studied by site-directed mutagenesis of a 516-bp region of the hGGH gene promoter in a luciferase reporter vector and transfection into HepG2 and MCF-7 cells. All of the promoter polymorphisms enhanced the production of luciferase compared to the wild-type hGGH gene promoter in HepG2 cells, and -401C>T and -124T>G enhanced luciferase expression in MCF-7 cells, suggesting that polymorphisms in the hGGH gene promoter may increase expression of hGGH protein.

Cell Line↗
PubMed2006

Constructing near-perfect phylogenies with multiple homoplasy events.

MOTIVATION: We explore the problem of constructing near-perfect phylogenies on bi-allelic haplotypes, where the deviation from perfect phylogeny is entirely due to homoplasy events. We present polynomial-time algorithms for restricted versions of the problem. We show that these algorithms can be extended to genotype data, in which case the problem is called the near-perfect phylogeny haplotyping (NPPH) problem. We present a near-optimal algorithm for the H1-NPPH problem, which is to determine if a given set of genotypes admit a phylogeny with a single homoplasy event. The time-complexity of our algorithm for the H1-NPPH problem is O(m2(n + m)), where n is the number of genotypes and m is the number of SNP sites. This is a significant improvement over the earlier O(n4) algorithm. We also introduce generalized versions of the problem. The H(1, q)-NPPH problem is to determine if a given set of genotypes admit a phylogeny with q homoplasy events, so that all the homoplasy events occur in a single site. We present an O(m(q+1)(n + m)) algorithm for the H(1,q)-NPPH problem. RESULTS: We present results on simulated data, which demonstrate that the accuracy of our algorithm for the H1-NPPH problem is comparable to that of the existing methods, while being orders of magnitude faster. AVAILABILITY: The implementation of our algorithm for the H1-NPPH problem is available upon request.

Algorithms↗
PubMed2002

SNPstream UHT: ultra-high throughput SNP genotyping for pharmacogenomics and drug discovery.

Single nucleotide polymorphism (SNP) genotyping is playing an increasing role in genome mapping, pharmacogenetic studies, and drug discovery. To date, genome-wide scans and studies involving thousands of SNPs and samples have been hampered by the lack of a system that can perform genotyping with cost-effective throughput, accuracy, and reliability. To address this need, Orrhid has developed an automated, ultra-high throughput system, SNPstream UHT, which uses multiplexed PCR in conjunction with our next generation SNP-IT tag array single base extension genotyping technology The system employs oligonucleotide microarrays manufactured in a 384-well format on a novel glass-bottomed plate. Multiplexed PCR and genotyping are performed in homogeneous reactions, and assay results are read by direct two-color fluorescence on the SNPstream UHTArray Imager. The systems flexibility enables large projects involving thousands of SNPs and thousands of samples as well as small projects that have hundreds of SNPs and hundreds of samples to be done cost effectively. We have successfully demonstrated this system in greater than 1,000,000 genotyping assays with >96% of samples giving genotypes with >99% accuracy

Alleles↗
PubMed2006

The association of DNA sequence variation at the MAOA genetic locus with quantitative behavioural traits in normal males.

Monoamine oxidase A (MAOA) catalyses the oxidative deamination of biogenic amines including neurotransmitters, mainly norepinephrine and serotonin in the brain and peripheral tissues. A nonsense mutation in the gene was shown to be involved in a rare X-linked behavioural syndrome, which includes impaired impulse control, aggression and borderline mental retardation (Brunner syndrome). Several recent studies have shown the association of genetic variation of a VNTR in the gene promoter with various pathological behavioural traits. In the present study the association of MAOA genetic variation with a large set of quantitative behavioural traits in normal individuals has been examined. DNA samples from 421 unrelated males were genotyped for 14 SNPs and for the promoter VNTR at the MAOA locus. An additional 16 SNPs were genotyped at apparently neutral loci across the X chromosome to serve as a genomic control for possible false positive associations due to population structure. Behavioural traits were measured using the NEO psychometric questionnaire, which is based on a 5-axis model of personality, and consists of 30 different quantitative traits. There was a robust association of the A2 ("straightforwardness") facet with common allelic variants at the promoter VNTR. Most of the tested traits were not associated with the VNTR despite reasonable power, thus demonstrating that the VNTR influence on quantitative behavioural traits in normal males may be very specific. In contrast, several traits of the C ("conscientiousness") axis were associated with less common SNP-defined haplotypes. Hence, it appears that common genetic variation at the VNTR contributes to the behavioural attribute of "straightforwardness", while rare haplotypes defined by SNPs downstream of the transcription start site may contribute to "conscientiousness". This study is used to address the validation, interpretation and limitation of genetic association studies of quantitative behavioural traits.

Black or African American↗
PubMed2006

The Fas gene A-670G polymorphism is not associated with sporadic Alzheimer disease in a Chinese Han population.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by excessive neuronal loss, intracellular neurofibrillary tangles and extracellular deposition of amyloid beta-peptide (Abeta). The Fas antigen is a cell surface receptor-mediating cell apoptosis. Several lines of evidence have made Fas/Fas ligand induced apoptosis play an important role in the pathogenesis of AD. Moreover, the Fas gene is located on chromosome 10q24.1, a region of linkage to late-onset AD. Several reports have investigated the association between a single nucleotide polymorphism (SNP) that is located at position -670 of Fas gene and AD, but yielded ambiguous results. To figure out the association of this SNP with sporadic AD in Chinese Han population, we have analyzed 509 patients with AD and 561 controls for the genetic association studies. Our results indicate that the distribution of the Fas genotypes (chi(2) = 0.66, P = 0.72) and alleles (chi(2) = 0.70, P = 0.40) did not differ significantly. The similar results were observed when AD and control groups were stratified by age/age at onset and sex (P > 0.10). The present data revealed no significant effect of the genotypes on the age of onset for developing AD, and no significant association between the genotypes and the severity of the disease.

Adult↗
PubMed2005

Lack of genetic association of cholesteryl ester transfer protein polymorphisms with late onset Alzheimers disease.

Dysregulation of cholesterol homeostasis may be associated with the pathogenesis of coronary artery disease (CAD) and Alzheimers disease (AD). Recently, several single nucleotide polymorphisms (SNPs) in cholesteryl ester transfer protein (CETP) were associated with altered plasma CETP concentrations, cholesterol concentrations and CAD. Hence, these CETP SNPs represent excellent candidates for evaluating association with AD. To date, one study has evaluated the association between a single CETP SNP and AD. In this study, we examined three CETP SNPs to evaluate the genetic association of CETP with late onset AD on two study cohorts: the Religious Orders Study (ROS) series, including 85 AD and 70 non-AD individuals, and the University of Kentucky (UKY) series, including 78 AD and 84 non-AD individuals. Significant association between CETP genotypes or haplotypes and late onset AD was not detected in these two study cohorts. Moreover, the CETP genotypes and haplotypes were not significantly associated with AD when the populations were stratified for the presence or absence of apolipoprotein E4 (apoE4). In summary, CETP genetic variants were not associated with AD in two series.

Aged↗
PubMed2006

Label-free detection of DNA hybridization using carbon nanotube network field-effect transistors.

We report carbon nanotube network field-effect transistors (NTNFETs) that function as selective detectors of DNA immobilization and hybridization. NTNFETs with immobilized synthetic oligonucleotides have been shown to specifically recognize target DNA sequences, including H63D single-nucleotide polymorphism (SNP) discrimination in the HFE gene, responsible for hereditary hemochromatosis. The electronic responses of NTNFETs upon single-stranded DNA immobilization and subsequent DNA hybridization events were confirmed by using fluorescence-labeled oligonucleotides and then were further explored for label-free DNA detection at picomolar to micromolar concentrations. We have also observed a strong effect of DNA counterions on the electronic response, thus suggesting a charge-based mechanism of DNA detection using NTNFET devices. Implementation of label-free electronic detection assays using NTNFETs constitutes an important step toward low-cost, low-complexity, highly sensitive and accurate molecular diagnostics.

Alleles↗
PubMed2001

Minisequencing on oligonucleotide microarrays: comparison of immobilisation chemistries.

In the microarray format of the minisequencing method multiple oligonucleotide primers immobilised on a glass surface are extended with fluorescent ddNTPs using a DNA polymerase. The method is a promising tool for large-scale single nucleotide polymorphism (SNP) detection. We have compared eight chemical methods for covalent immobilisation of the oligonucleotide primers on glass surfaces. We included both commercially available, activated slides and slides that were modified by ourselves. In the comparison the differently derivatised glass slides were evaluated with respect to background fluorescence, efficiency of attaching oligonucleotides and performance of the primer arrays in minisequencing reactions. We found that there are significant differences in background fluorescence levels among the different coatings, and that the attachment efficiency, which was measured indirectly using extension by terminal transferase, varied largely depending on which immobilisation strategy was used. We also found that the attachment chemistry affects the genotyping accuracy, when minisequencing on microarrays is used as the genotyping method. The best genotyping results were observed using mercaptosilane-coated slides attaching disulfide-modified oligonucleotides.

DNA Mutational Analysis↗
PubMed2024

Sequencing the orthologs of human autosomal forensic short tandem repeats provides individual- and species-level identification in African great apes.

BACKGROUND: Great apes are a global conservation concern, with anthropogenic pressures threatening their survival. Genetic analysis can be used to assess the effects of reduced population sizes and the effectiveness of conservation measures. In humans, autosomal short tandem repeats (aSTRs) are widely used in population genetics and for forensic individual identification and kinship testing. Traditionally, genotyping is length-based via capillary electrophoresis (CE), but there is an increasing move to direct analysis by massively parallel sequencing (MPS). An example is the ForenSeq DNA Signature Prep Kit, which amplifies multiple loci including 27 aSTRs, prior to sequencing via Illumina technology. Here we assess the applicability of this human-based kit in African great apes. We ask whether cross-species genotyping of the orthologs of these loci can provide both individual and (sub)species identification. RESULTS: The ForenSeq kit was used to amplify and sequence aSTRs in 52 individuals (14 chimpanzees; 4 bonobos; 16 western lowland, 6 eastern lowland, and 12 mountain gorillas). The orthologs of 24/27 human aSTRs amplified across species, and a core set of thirteen loci could be genotyped in all individuals. Genotypes were individually and (sub)species identifying. Both allelic diversity and the power to discriminate (sub)species were greater when considering STR sequences rather than allele lengths. Comparing human and African great-ape STR sequences with an orangutan outgroup showed general conservation of repeat types and allele size ranges. Variation in repeat array structures and a weak relationship with the known phylogeny suggests stochastic origins of mutations giving rise to diverse imperfect repeat arrays. Interruptions within long repeat arrays in African great apes do not appear to reduce allelic diversity. CONCLUSIONS: Orthologs of most human aSTRs in the ForenSeq DNA Signature Prep Kit can be analysed in African great apes. Primer redesign would reduce observed variability in amplification across some loci. MPS of the orthologs of human loci provides better resolution for both individual and (sub)species identification in great apes than standard CE-based approaches, and has the further advantage that there is no need to limit the number and size ranges of analysed loci.

Animals↗
PubMed2002

Large-scale determination of SNP allele frequencies in DNA pools using MALDI-TOF mass spectrometry.

One of the major challenges in the near future is the identification of genes that contribute to complex disorders. Large scale association studies that utilize a dense map of single nucleotide polymorphisms (SNPs) have been considered as a valuable tool for this purpose. However, genome-wide screens are limited by costs of genotyping thousands of SNPs in a large number of individuals. Here we present a pooling strategy that enables high-throughput SNP validation and determination of allele frequencies in case and control populations. Quantitative analysis of allele frequencies of SNPs in DNA pools is based on matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry of primer extension assays. We demonstrate the accuracy and reliability of this approach on pools of eight previously genotyped individuals with an allele frequency representation in the range of 0.1 to 0.9. The accuracy of measured allele frequencies was shown in DNA pools of 142 to 186 individuals using additional markers. Allele frequencies determined from the pooled samples deviate from the real frequencies by about 3%. The described method reduces costs and time and enables genotyping of up to thousands of samples by taking advantage of the high-throughput MALDI-TOF technology.

DNA↗
PubMed2001

Use of an artificial neural network to detect association between a disease and multiple marker genotypes.

Single nucleotide polymorphisms (SNPs) are very common throughout the genome and hence are potentially valuable for mapping disease susceptibility loci by detecting association between SNP markers and disease. However as SNPs are biallelic they may have relatively little power in association studies compared with the information that would be obtainable if marker haplotypes were available and could be used efficiently. Modelling the evolutionary events leading to linkage disequilibrium is very complex and many methods that seek to use information from multiple markers simultaneously need to make simplifying assumptions and may only be applicable when marker haplotypes, rather than genotypes, are available for analysis. We explore the properties of a simple application of a standard artificial neural network to this problem. The pattern-recognition properties of the network are used in the hope that marker haplotypes implicit in the genotypes will differ between cases and controls in a way which will lead to the network being able to classify the subjects correctly, according to their marker genotype. This method makes no assumptions at all regarding population history or the marker map, and can be applied to genotypes, as would be available from a simple case-control sample, without any need to determine haplotypes. Through application to data simulated under a very wide range of assumptions we show that such an analysis produces a useful augmentation in power above that which would be achieved by testing each marker individually, in particular when more than one mutation has occurred in a disease gene at different points in evolution. The application of neural networks to such problems shows considerable promise and further work could usefully be directed towards optimising the design and implementation of such networks.

Alleles↗
PubMed2004

Single nucleotide polymorphism analysis in the human phosphatase PTPrj gene using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry.

Data derived from analysis of single nucleotide polymorphisms (SNPs) are being applied in many diverse fields, from medical studies of disease mechanisms and individual drug response, to population genetics for tracking migration and mixing of ancestral groups and also in forensic science for the identification of human remains and identification of individuals from bodily samples. All these applications have in common the need to generate data for multiple loci from large numbers of samples. Matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOFMS) is a promising platform for the generation of such data and we present a simple, flexible and robust technique for SNP determination. We demonstrate these features by typing two SNPs (Q276P and R326Q) in the human phosphatase gene PTPrj, which has been implicated in the aetiology of colon, lung, breast and thyroid cancers. A nucleotide depletion primer extension assay using no commercial kits or dideoxyNTPs was used to genotype a panel of DNAs derived from thyroid cancer patients and normal volunteers. The results obtained were in perfect agreement with those generated via restriction fragment length polymorphism analysis. No significant association was noted between possession of either allelic variant and a disease state, but the technique was validated as simple, flexible and appropriate for application in this context. Furthermore, it was highly cost-effective and required minimal optimisation, rendering it ideal for this type of pilot study.

Adolescent↗
PubMed2005

A major locus for hereditary prostate cancer in Finland: localization by linkage disequilibrium of a haplotype in the HPCX region.

BACKGROUND: Prostate cancer (PRCA) is the most common cancer in males in the western world. In Finland PRCA has an age-adjusted incidence of 81.5 per 100,000. We previously reported that in Finland, the late-onset cases in families with "no-male-to-male" (NMM) transmission of PRCA accounted for most of the linkage to the HPCX region (Xq27-28). The aim of the present study was to test for linkage disequilibrium (LD) and haplotype-sharing around marker DXS1205 between cases from hereditary prostate cancer (HPC) families and population controls. The initial allelic association was performed between 108 PRCA cases and 257 population controls genotyped for 23 markers in the Xq26-28 region. This resulted in a highly significant nominal one-sided Fisher's exact P-value of 0.0003 for allele ''180'' of marker DXS1205. Subsequently, a similar level of significance was observed for the same allele for marker DXS1205 (P=0.0002) when comparing 60 NMM cases and 257 controls. These results were still significant after Bonferroni correction for multiple testing. Fine mapping efforts included the genotyping of four additional markers D3S2390, bG82i1.9, bG82i1.1, bG82i1.0 and four single nucleotide polymorphisms (SNPs) to augment the original markers around DXS1205. RESULTS: Our major finding is that markers extending from ''D3S2390'' to ''bG82i1.0'' flank the critical locus, about 150 kb. Levin and Bertell's LD measure (delta), a guide to localization of a possible variant, was 0.42 and 0.41 for alleles of markers bG82i1.9 and DXS1205, respectively. CONCLUSIONS: In this study, the most significant haplotype comprised the three tightly linked, contiguous markers: ''cen-bG82i1.9-SNP-Hap B-bG82i1.1-tel'' [''197-2-234''] among several possible haplotypes (nominal Fisher's one-sided P=0.003). The two transcription units mapping within this interval are the LDOC1 and SPANXC genes. Positional cloning of the HPCX gene(s) is being facilitated by this exploration of the Xq26-28 region. This study represents the first report identifying a haplotype in the Xq27-28 region for an association between HPCX and X-linked prostate cancer with no-male-to-male transmission in the Finnish population.

Chromosome Mapping↗
PubMed2001

Predicting deleterious amino acid substitutions.

Many missense substitutions are identified in single nucleotide polymorphism (SNP) data and large-scale random mutagenesis projects. Each amino acid substitution potentially affects protein function. We have constructed a tool that uses sequence homology to predict whether a substitution affects protein function. SIFT, which sorts intolerant from tolerant substitutions, classifies substitutions as tolerated or deleterious. A higher proportion of substitutions predicted to be deleterious by SIFT gives an affected phenotype than substitutions predicted to be deleterious by substitution scoring matrices in three test cases. Using SIFT before mutagenesis studies could reduce the number of functional assays required and yield a higher proportion of affected phenotypes. may be used to identify plausible disease candidates among the SNPs that cause missense substitutions.

Amino Acid Sequence↗