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At least 721 records · Page 40Linked to original sources
PubMed2001

Haplotyping of wild type and I278T alleles of the human cystathionine beta-synthase gene based on a cluster of novel SNPs in IVS12.

Homocystinuria is most frequently due to deficiency of cystathionine beta-synthase (CBS). We identified IVS12 as a polymorphism hot spot of the human CBS gene and report five novel single nucleotide polymorphisms (SNPs): g.13514G>A, g.13617A>G, g.13715C>T, g.13800G>A, and g.13904C>T. Analyzing 50 control DNA samples of unaffected and unrelated subjects of German origin the observed frequencies of heterozygosity were 0.02, 0.36, 0.18, 0.36, and 0.36, respectively. These polymorphic markers were combined into four distinct IVS12-haplotypes A1, A2, B1, and B2, revealing frequencies of 0.75, 0.01, 0.15, and 0.09, respectively, with an observed overall frequency of heterozygosity at 0.38. This haplotype system and the SNP c.699 were employed in the analysis of ten alleles affected by the most prevalent CBS mutation, c.833T>C (exon 8; I278T). We found that the I278T alleles segregate with at least two distinct haplotypes characterized by upstream and downstream polymorphic sites instead of sharing a common ancestral haplotype. This was a remarkable finding even in patients with very similar ethnic background. The novel haplotype system may facilitate future studies on the evolution of the CBS gene and might be suited for genotyping of families affected by homocystinuria.

Alleles↗
PubMed2005

TP53BP2 locus is associated with gastric cancer susceptibility.

We investigated the association of the TP53BP2 locus with gastric cancer susceptibility in a Korean population. We assayed 9 single nucleotide polymorphisms (SNP) in an 82.5 kb region that included the TP53BP2 locus in 233 male gastric cancer patients and 390 unaffected healthy male controls. The allelic frequencies of 4 SNP within TP53BP2, g.206692C>T, g.198267A>T, g.164895G>A and g.152389A>T, differed significantly between cases and controls (p < or = 0.0376). When compared to carriers of non-risk alleles, individuals homozygotic for each of the risk alleles had a 50% increase in risk of gastric cancer (age-adjusted odds ratio [OR] > or = 1.48; p < or = 0.0371). Furthermore, these 4 significantly associated SNP were in strong linkage disequilibrium (r2 > or = 0.51). Haplotype analysis showed that individuals with the CAGA haplotype, consisting of the risk alleles at each SNP, had a 1.55-fold higher risk for gastric cancer than individuals with the haplotype TTAT, consisting of the non-risk alleles at each SNP (OR = 1.55; 95% confidence interval [CI] = 1.13-2.14; p = 0.00705). Two other SNP were not polymorphic in the study subjects, whereas the other 3 SNP, located toward the outside of the TP53BP2 locus, were not associated with gastric cancer susceptibility. Although the location of the pathogenic variant is not yet known, our results suggest that the TP53BP2 locus is associated with susceptibility to gastric cancer in the Korean population.

Adult↗
PubMed2026

Dissecting genetic architecture and improving machine learning&#x2011;based genomic prediction of flowering time in Osmanthus fragrans by integrating structural variants.

Sweet osmanthus (Osmanthus fragrans), a traditional ornamental plant in China, exhibits substantial variation in autumn flowering time, which significantly affects landscape application and cultivation efficiency. Here, we performed a genome-wide association study on 127 resequenced accessions classified into early, intermediate, and late flowering types, using a set of 2,325,410 single-nucleotide polymorphisms (SNPs) and 246,824 structural variants (SVs). By integrating SNP/insertion and deletion (Indel) and SV data with weighted gene co-expression network analysis, machine learning, and genomic prediction, we dissected the genetic architecture of flowering time. We identified 24 associated SNP/Indels and six SVs, mapping to 30 candidate genes, including known flowering regulators FLK, LOS1, Y14, MIF2, and GID1B. These genes showed tissue-specific expression, with some responding to low temperature. The two hub genes, GUX1 and LYG027904, were located within modules of the co-expression network associated with low-temperature treatment. Haplotype analysis revealed a specific three-SNP haplotype associated with late flowering and linked to LOS1, and epistatic interactions among combined genotypes contributed to phenotypic variation. Notably, integrating SVs with SNP/Indels improved genomic prediction accuracy; the gradient boosting decision tree model outperformed other machine learning algorithms, achieving a mean accuracy of 0.859 and an AUC&#xa0;>&#xa0;0.8 (where AUC is area under receiver operating characteristic curve) for all flowering types. These findings provide insights into the genetic mechanisms underlying flowering time variation in O. fragrans, offer candidate genes and haplotypes for molecular breeding, and highlight the value of integrating SVs with machine learning for genomic prediction in woody ornamentals.

Machine Learning↗
PubMed1999

Evaluation of cGMP-phosphodiesterase (PDE) subunits for causal association with rod-cone dysplasia 2 (rcd2), a canine model of abnormal retinal cGMP metabolism.

Rod-cone dysplasia types 1 (rcd1; Irish setter) and 2 (rcd2; collie) in dogs are early onset forms of progressive retinal atrophy (PRA) which serve as models of retinitis pigmentosa (RP) in humans. As both rcd1 and rcd2 result from abnormal retinal cGMP metabolism associated with a deficiency in cGMP-phosphodiesterase (PDE) activity, and a nonsense mutation in the PDE6B subunit gene has been shown to cause rcd1, the genes encoding the four subunits of the PDE complex (PDE6A, PDE6B, PDE6G and PDE6D) make compelling candidates for the rcd2 locus. We adopted diverse strategies to evaluate causal association of the four PDE subunit genes with the rcd2 phenotype. Identification in an informative pedigree of obligate recombinations between intragenic polymorphisms within PDE6A and PDE6D and the rcd2 locus unequivocally excludes these two genes. PDE6B was excluded by a breeding strategy demonstrating nonallelism of rcd1 and rcd2. Direct sequencing of PDE6G from an rcd2 -homozygous collie dog revealed no abnormality in the entire genomic sequence. To evaluate cosegregation between PDE6G and rcd2, advantage was taken of prior knowledge that PDE6G and Galactokinase 1 (GALK1) localize to the same canine-rodent somatic hybrid cell line. Linkage analysis using a single nucleotide polymorphism (SNP) in the PDE6G gene, and a (CA)n repeat polymorphism in the GALK1 gene, which were both segregating in an unrelated pedigree, established close linkage of these two genes (theta = 0; Z = 4.21). Identification of obligate recombinations between GALK1 and the rcd2 locus in an informative rcd2 pedigree thus excluded PDE6G as a candidate gene for rcd2; the exclusion distance between GALK1 and rcd2 is at least 0.35 cM. These results therefore exclude the entire set of genes coding for the rod PDE complex as candidates for rcd2.

3',5'-Cyclic-GMP Phosphodiesterases↗
PubMed2003

Association analysis of bone mineral density and single nucleotide polymorphisms in two candidate genes on chromosome 1p36.

Two candidate genes for bone mineral density (BMD), tumor necrosis factor alpha receptor 2 (TNFRSF1B) and lysyl hydroxylase (PLOD1), have been scanned for single nucleotide polymorphisms (SNPs) within their coding and promoter regions. These two genes, separated by about 200 kb, are located within the chromosomal interval 1p36.2-1p36.3 that has been linked to femoral neck BMD. In a patient population (n = 104) of European descent, there were four SNPs within TNFRSF1B and six SNPs within PLOD1 that occurred with greater than 5% frequency. There was significant linkage disequilibrium within both genes. Single marker analysis revealed significant association for one SNP located in intron 6 of PLOD1 and lumbar spine BMD (P = 0.01). Allelic haplotypes that encompassed the four SNPs in TNFRSF1B or the six SNPs in PLOD1 were assigned using a Bayesian algorithm as implemented in the program Haplotyper. Association of TNFRSF1B haplotypes with femoral neck BMD was statistically significant (P = 0.01). Similarly, PLOD1 haplotypes demonstrated a statistically significant association with spinal BMD (P = 0.04). These findings strengthen the potential importance of chromosome 1p36.2-1p36.3 in contributing to BMD variation, and are consistent with genetic variation in either PLOD1, TNFRSF1B or nearby genes playing a role in the phenotype.

Antigens, CD↗
PubMed2004

High throughput multiple combination extraction from large scale polymorphism data by exact tree method.

Single nucleotide polymorphisms (SNPs) are increasingly becoming important in clinical settings as useful genetic markers. For the evaluation of genetic risk factors of multifactorial diseases, it is not sufficient to focus on individual SNPs. It is preferable to evaluate combinations of multiple markers, because it allows us to examine the interactions between multiple factors. If all the combinations possible were evaluated round-robin, the number of calculations would rapidly explode as the number of markers analyzed increased. To overcome this limitation, we devised the exact tree method based on decision tree analysis and applied it to 14 SNP data from 68 Japanese stroke patients and 189 healthy controls. From the obtained tree models, we succeeded in extracting multiple statistically significant combinations that elevate the risk of stroke. From this result, we inferred that this method would work more efficiently in the whole genome study, which handles thousands of genetic markers. This exploratory data mining method will facilitate the extraction of combinations from large-scale genetic data and provide a good foothold for further verificatory research.

Adult↗
PubMed2004

Online resistance monitoring during autometallographic enhancement of colloidal Au labels for DNA analysis.

DNA diagnostics at the point-of-care requires biosensors that rely on highly sensitive transducers and are producible at low cost. A promising candidate technology is based on direct electrical detection of autometallographically enhanced Au labeled analytes. We present a substantial improvement to the previously used method by introducing online DC resistance monitoring during the autometallographic enhancement process. Since multi-step enhancement, washing, drying, and measurement cycles are eliminated, our method takes the direct electrical detection method a step further to applicability in a point-of-care environment. The feasibility of the novel method is demonstrated by its application in a simple DNA hybridization assay and the analysis of a single nucleotide polymorphism (SNP) using allele-specific hybridization. Unequivocal discrimination of all possible base pairing combinations in the SNP assay has been achieved. The SNP assay in particular indicates the potential of the method for analyte quantification.

Biosensing Techniques↗
PubMed2004

Prevalence of MTHFR gene polymorphisms (C677T and A1298C) among Tamilians.

We have investigated the incidence of the C677T and A1298C methylene tetrahydrofolate reductase (MTHFR) gene single nucleotide polymorphisms (SNPs) in the South Indian Tamil Nadu population with a total number of 72 individuals. The MTHFR genotyping was performed using the polymerase chain reaction followed by restriction enzyme analysis. Homozygosity for the MTHFR A1298C SNP was detected in 15.3% (11/72) of the individuals tested, and 47.2% (34/72) were heterozygous for this SNP. Homozygosity for the C677T MTHFR SNP was detected in 1.38%(1/72), and the frequency of the C677T heterozygotes was 18.1%(13/72). When we analyzed the combined frequency of the two SNPs, the frequency of double heterozygosity was19.6%, and the frequency of double homozygosity was completely absent among the study group. The 'C' allele frequency for MTHFR A1298C was 0.389, and the 'T' allele frequency for C677T mutation was 0.104. Out of the 72 individuals included in the study, 52 were acute myocardial infarction (AMI) patients and 20 were healthy individuals with no documented history of heart disease. The results of this study indicate that the MTHFR A1298C SNP is more prevalent among the Tamilians when compared to the MTHFR C677T SNP, suggesting a possible role of MTHFR A1298C in the pathogenesis of heart diseases.

Acute Disease↗
PubMed2005

In silico whole-genome scanning of cancer-associated nonsynonymous SNPs and molecular characterization of a dynein light chain tumour variant.

Last decade has led to the accumulation of large amounts of data on cancer genetics, opening an unprecedented access to the mapping of cancer genes in the human genome. Single-nucleotide polymorphisms (SNPs), the most common form of DNA variation in humans, emerge as an invaluable tool for cancer association studies. These genotypic markers can be used to assay how alleles of candidate genes correlate with the malignant phenotype, and may provide new clues into the genetic modifications that characterize cancer onset. In this cancer-oriented study, we detail an SNP mining strategy based on the analysis of expressed sequence tags among publicly available databases. Our whole-genome approach provides a comprehensive and unbiased description of nonsynonymous SNPs (nsSNPs) in tumoral versus normal tissues. To gain further insights into the possible relationships between genetic variation and altered phenotype, locations of a subset of nsSNPs were mapped onto protein domains known to be critical for protein function. Computational methods were also used to predict the potential impact of these cancer-associated nsSNPs on protein structure and function. We illustrate our approach through the detailed biochemical and structural characterization of a previously unknown cancer-associated mutation (G79C) affecting the 8 kDa dynein light chain (DNCL1).

Computational Biology↗
PubMed2006

Genetic variation in putative regulatory loci controlling gene expression in breast cancer.

Candidate single-nucleotide polymorphisms (SNPs) were analyzed for associations to an unselected whole genome pool of tumor mRNA transcripts in 50 unrelated patients with breast cancer. SNPs were selected from 203 candidate genes of the reactive oxygen species pathway. We describe a general statistical framework for the simultaneous analysis of gene expression data and SNP genotype data measured for the same cohort, which revealed significant associations between subsets of SNPs and transcripts, shedding light on the underlying biology. We identified SNPs in EGF, IL1A, MAPK8, XPC, SOD2, and ALOX12 that are associated with the expression patterns of a significant number of transcripts, indicating the presence of regulatory SNPs in these genes. SNPs were found to act in trans in a total of 115 genes. SNPs in 43 of these 115 genes were found to act both in cis and in trans. Finally, subsets of SNPs that share significantly many common associations with a set of transcripts (biclusters) were identified. The subsets of transcripts that are significantly associated with the same set of SNPs or to a single SNP were shown to be functionally coherent in Gene Ontology and pathway analyses and coexpressed in other independent data sets, suggesting that many of the observed associations are within the same functional pathways. To our knowledge, this article is the first study to correlate SNP genotype data in the germ line with somatic gene expression data in breast tumors. It provides the statistical framework for further genotype expression correlation studies in cancer data sets.

Breast Neoplasms↗
PubMed2004

Evidence of association between FKBP1B and thyroid autoimmune disorders in a large Tunisian family.

FKBP1B belongs to immunophilins superfamily and functions as a cytosolic receptor protein of FK506. The role of FKBP1B in the immunosuppressive pathway of FK506 is well established. Previously, we reported a strong evidence of linkage between D2S171 microsatellite marker (located in vicinity of FKBP1B gene) and susceptibility to autoimmune thyroid diseases (AITDs). In this study, we report linkage disequilibrium between the dimorphism (C/T) in the 3' untranslated region (3' UTR) of FKBP1B gene and susceptibility to AITDs. DNAs were extracted from a large Tunisian family affected with Graves' disease (GD) and Hashimoto's thyroiditis (HT) and analysed by PCR-RFLP using DraIII restriction enzyme. Our results showed an excess of transmission of the allele C from heterozygous parents to affected offspring (transmission disequilibrium test (TDT) = 4.76; p = 0.012). This suggests a linkage disequilibrium of 3' UTR (C/T) SNP with AITDs. Moreover, The FBAT analysis gives a significant association with the C allele under the recessive model (chi2 = 5.50; p = 0.018). These results support the involvement of FKBP1B gene in the genetic susceptibility to the AITDs development in the studied family.

Humans↗
PubMed2004

Matching strategies for genetic association studies in structured populations.

Association studies in populations that are genetically heterogeneous can yield large numbers of spurious associations if population subgroups are unequally represented among cases and controls. This problem is particularly acute for studies involving pooled genotyping of very large numbers of single-nucleotide-polymorphism (SNP) markers, because most methods for analysis of association in structured populations require individual genotyping data. In this study, we present several strategies for matching case and control pools to have similar genetic compositions, based on ancestry information inferred from genotype data for approximately 300 SNPs tiled on an oligonucleotide-based genotyping array. We also discuss methods for measuring the impact of population stratification on an association study. Results for an admixed population and a phenotype strongly confounded with ancestry show that these simple matching strategies can effectively mitigate the impact of population stratification.

Case-Control Studies↗
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↗
PubMed2006

A flexible Bayesian framework for modeling haplotype association with disease, allowing for dominance effects of the underlying causative variants.

Multilocus analysis of single-nucleotide-polymorphism (SNP) haplotypes may provide evidence of association with disease, even when the individual loci themselves do not. Haplotype-based methods are expected to outperform single-SNP analyses because (i) common genetic variation can be structured into haplotypes within blocks of strong linkage disequilibrium and (ii) the functional properties of a protein are determined by the linear sequence of amino acids corresponding to DNA variation on a haplotype. Here, I propose a flexible Bayesian framework for modeling haplotype association with disease in population-based studies of candidate genes or small candidate regions. I employ a Bayesian partition model to describe the correlation between marker-SNP haplotypes and causal variants at the underlying functional polymorphism(s). Under this model, haplotypes are clustered according to their similarity, in terms of marker-SNP allele matches, which is used as a proxy for recent shared ancestry. Haplotypes within a cluster are then assigned the same probability of carrying a causal variant at the functional polymorphism(s). In this way, I can account for the dominance effect of causal variants, here corresponding to any deviation from a multiplicative contribution to disease risk. The results of a detailed simulation study demonstrate that there is minimal cost associated with modeling these dominance effects, with substantial gains in power over haplotype-based methods that do not incorporate clustering and that assume a multiplicative model of disease risks.

Algorithms↗
PubMed2002

Search for and analysis of single nucleotide polymorphisms (SNPs) in rice (Oryza sativa, Oryza rufipogon) and establishment of SNP markers.

We searched for SNPs in 417 regions distributed throughout the genome of three Oryza sativa ssp. japonica cultivars, two indica cultivars, and a wild rice (O. rufipogon). We found 2800 SNPs in approximately 250,000 aligned bases for an average of one SNP every 89 bp, or one SNP every 232 bp between two randomly selected strains. Graphic representation of the frequency of SNPs along each chromosome showed uneven distribution of polymorphism-rich and -poor regions, but little obvious association with the centromere or telomere. The 94 SNPs that we found between the closely related cultivars 'Nipponbare' and 'Koshihikari' can be converted into molecular markers. Our establishment of 213 co-dominant SNP markers distributed throughout the genome illustrates the immense potential of SNPs as molecular markers not only for genome research, but also for molecular breeding of rice.

Genetic Markers↗
PubMed2006

An SNP caused loss of seed shattering during rice domestication.

Loss of seed shattering was a key event in the domestication of major cereals. We revealed that the qSH1 gene, a major quantitative trait locus of seed shattering in rice, encodes a BEL1-type homeobox gene and demonstrated that a single-nucleotide polymorphism (SNP) in the 5' regulatory region of the qSH1 gene caused loss of seed shattering owing to the absence of abscission layer formation. Haplotype analysis and association analysis in various rice collections revealed that the SNP was highly associated with shattering among japonica subspecies of rice, implying that it was a target of artificial selection during rice domestication.

Agriculture↗
PubMed2005

LightTyper platform for high-throughput clinical genotyping.

DNA sequence variations due to single nucleotide changes or polymorphisms (SNPs) have demonstrated an association with certain diseases as causative agents or surrogate biomarkers. Identification and genotyping of SNPs requires reliable and robust technologies. Multiple genotyping platforms are available to detect SNPs. Although many of these platforms meet the requirements of the research environment, technologies have also emerged for high-throughput clinical genotyping as well. The LightTyper is one such platform, providing SNP identification by employing melting curve analysis of fluorescently labeled probes. The LightTyper has been used to identify SNPs associated with myocardial infarction, developing and validating assays for approximately 100 SNPs in 30 candidate genes. The LightTyper is also amenable to the use of assays already developed for the LightCycler, which is widely used in clinical laboratories. The initial experience presented here suggests the potential use of the LightTyper for high-throughput clinical genotyping.

Animals↗