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PubMed2002

ARACHNE: a whole-genome shotgun assembler.

We describe a new computer system, called ARACHNE, for assembling genome sequence using paired-end whole-genome shotgun reads. ARACHNE has several key features, including an efficient and sensitive procedure for finding read overlaps, a procedure for scoring overlaps that achieves high accuracy by correcting errors before assembly, read merger based on forward-reverse links, and detection of repeat contigs by forward-reverse link inconsistency. To test ARACHNE, we created simulated reads providing approximately 10-fold coverage of the genomes of H. influenzae, S. cerevisiae, and D. melanogaster, as well as human chromosomes 21 and 22. The assemblies of these simulated reads yielded nearly complete coverage of the respective genomes, with a small number of contigs joined into a smaller number of supercontigs (or scaffolds). For example, analysis of the D. melanogaster genome yielded approximately 98% coverage with an N50 contig length of 324 kb and an N50 supercontig length of 5143 kb. The assembly accuracy was high, although not perfect: small errors occurred at a frequency of roughly 1 per 1 Mb (typically, deletion of approximately 1 kb in size), with a very small number of other misassemblies. The assembly was rapid: the Drosophila assembly required only 21 hours on a single 667 MHz processor and used 8.4 Gb of memory.

Algorithms↗
PubMed2005

Using tree-based recursive partitioning methods to group haplotypes for increased power in association studies.

Motivated by the increasing availability of high-density single nucleotide polymorphism (SNP) markers across the genome, various haplotype-based methods have been developed for candidate gene association studies, and even for genome-wide association studies. Although haplotype approaches dramatically reduce the multiple comparisons problem (as compared to single SNP analysis), even the number of existing haplotypes is relatively large, which increases the degrees of freedom and decreases the power for the corresponding test statistic. Grouping haplotypes is a way to reduce the degrees of freedom. We propose a procedure that uses a tree-based recursive partitioning algorithm to group haplotypes into a small number of clusters, and conducts the association test based on groups of haplotypes instead of individual haplotypes. The method can be used for both population-based and family-based association studies, with known or ambiguous phase information. Simulation studies suggest that the proposed method has the right type I error rate, and is more powerful than some existing haplotype-based tests.

Algorithms↗
PubMed2006

Evidence for a large-scale population structure of Arabidopsis thaliana from genome-wide single nucleotide polymorphism markers.

Population-based methods for the genetic mapping of adaptive traits and the analysis of natural selection require that the population structure and demographic history of a species are taken into account. We characterized geographic patterns of genetic variation in the model plant Arabidopsis thaliana by genotyping 115 genome-wide single nucleotide polymorphism (SNP) markers in 351 accessions from the whole species range using a matrix-assisted laser desorption/ionization time-of-flight assay, and by sequencing of nine unlinked short genomic regions in a subset of 64 accessions. The observed frequency distribution of SNPs is not consistent with a constant-size neutral model of sequence polymorphism due to an excess of rare polymorphisms. There is evidence for a significant population structure as indicated by differences in genetic diversity between geographic regions. Accessions from Central Asia have a low level of polymorphism and an increased level of genome-wide linkage disequilibrium (LD) relative to accessions from the Iberian Peninsula and Central Europe. Cluster analysis with the structure program grouped Eurasian accessions into K = 6 clusters. Accessions from the Iberian Peninsula and from Central Asia constitute distinct populations, whereas Central and Eastern European accessions represent admixed populations in which genomes were reshuffled by historical recombination events. These patterns likely result from a rapid postglacial recolonization of Eurasia from glacial refugial populations. Our analyses suggest that mapping populations for association or LD mapping should be chosen from regional rather than a species-wide sample or identified genetically as sets of individuals with similar average genetic distances.

Arabidopsis↗
PubMed2004

Characteristics of mutations at the D5S818 locus studied with a tightly linked marker.

BACKGROUND: Mutations to STR alleles are not well understood in terms of the mechanism(s) underlying such mutations or their relative frequency among different alleles at the locus. STUDY DESIGN AND METHODS: A cytosine/thymosine (C/T) polymorphism was discovered 13 nucleotides upstream from the 5'-end of the tandem array of the D5S818 locus (-13SNP). The -13SNP coincidentally creates a restriction site polymorphism for the restriction endonuclease SnaBI that is tightly linked to the tandem array of D5S818. Forty D5S818 addition/deletion mutations in the tandem array were characterized with RFLP analysis with SnaBI. RESULTS: Among 40 mutations studied, 34 (approximately 85%) were of paternal origin, 1 ( approximately 3%) was of maternal origin, and 5 (approximately 13%) had an unclear lineage of origin. In 26 cases where the magnitude of the repeat change could be determined, 23 (88%) involved changes of a single repeat unit, whereas 3 (12%) involved changes of 2 or more repeats. The number of additions to the tandem array was roughly equal to the number of deletions from the tandem array. In 19 instances it was possible to identify the parental allele that underwent the mutation. Alleles 13 and 14 were prone to mutation, whereas Allele 11 was resistant. Thus, there is an unequal sensitivity to mutation among D5S818 alleles. CONCLUSIONS: The use of the linked -13SNP marker has revealed several features of mutations at the D5S818 locus: 1) Single repeat changes are the most commonly observed. 2) Mutations are more likely in the paternal lineage. 3) Not all alleles undergo mutation with equal frequency.

Adult↗
PubMed2006

High-throughput loss-of-heterozygosity study of chromosome 3p in lung cancer using single-nucleotide polymorphism markers.

Loss of DNA copy number at the short arm of chromosome 3 is one of the most common genetic changes in human lung cancer, suggesting the existence of one or more tumor suppressor genes (TSG) at 3p. To identify most frequently deleted regions and candidate TSGs within these regions, a recently developed single-nucleotide polymorphism (SNP)-mass spectrometry-genotyping (SMSG) technology was applied to investigate the loss of heterozygosity (LOH) in 30 primary non-small-cell lung cancers. A total of 386 SNP markers that spanned a region of 70 Mb at 3p, from 3pter to 3p14.1, were selected for LOH analysis. The average intermarker distance in the present study is approximately 180 kb. Several frequently deleted regions, including 3p26.3, 3p25.3, 3p24.1, 3p23, and 3p21.1, were found. Several candidate TSGs within these frequently detected LOH regions have been found, including APG7L at 3p25.3, CLASP2 at 3p23, and CACNA2D3 at 3p21.1. This study also showed that SMSG technology is a very useful approach to rapidly define the minimal deleted region and to identify target TSGs in a given cancer.

Carcinoma, Non-Small-Cell Lung↗
PubMed2004

The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs.

Understanding the nature of evolutionary relationships among persons and populations is important for the efficient application of genome science to biomedical research. We have analysed 8,525 autosomal single nucleotide polymorphisms (SNPs) in 84 individuals from four populations: African-American, European-American, Chinese and Japanese. Individual relationships were reconstructed using the allele sharing distance and the neighbour-joining tree making method. Trees show clear clustering according to population, with the root branching from the African-American clade. The African-American cluster is much less star-like than European-American and East Asian clusters, primarily because of admixture. Furthermore, on the East Asian branch, all ten Chinese individuals cluster together and all ten Japanese individuals cluster together. Using positional information, we demonstrate strong correlations between inter-marker distance and both locus-specific FST (the proportion of total variation due to differentiation) levels and branch lengths. Chromosomal maps of the distribution of locus-specific branch lengths were constructed by combining these data with other published SNP markers (total of 33,704 SNPs). These maps clearly illustrate a non-uniform distribution of human genetic substructure, an instructional and useful paradigm for education and research.

Genetics, Population↗
PubMed2003

Association between insulin-like growth factor I (IGF-I) polymorphisms, circulating IGF-I, and pre- and postnatal growth in two European small for gestational age populations.

The purpose of this study was to assess the association of IGF-I and birth size by studying small for gestational age (SGA) subphenotypes and undertaking more detailed analysis of IGF-I genetic markers. SGA subjects from Haguenau, France (n = 113), and Gothenburg, Sweden (n = 174), were studied. The Swedish subjects were subphenotyped according to postnatal growth (114 short SGA and 60 SGA catch-up). IGF-I dinucleotide repeat and single nucleotide polymorphism (SNP) markers were studied, and haplotypes were generated in the Swedish short SGA group by identity of state. Association analysis was undertaken using the Monte Carlo method of association analysis of multiallelic markers for dinucleotide repeat markers, by exact chi(2) analysis for SNPs and by ANOVA for serum IGF-I levels. IGF-I genotype was associated with the SGA phenotype, in particular with symmetrical SGA and low birth weight, and with IGF-I levels in SGA subjects. Association with postnatal growth was different in the two populations, which may reflect the power of the smaller subphenotype groups. Haplotype analysis in the Swedish short SGA subjects showed that the region of association lay between the promoter and intron 2 of the IGF-I gene. These studies validate the association of the IGF-I gene with birth size and refine the region of association in Swedish short SGA subjects.

Adolescent↗
PubMed2006

High-density single nucleotide polymorphism screen in a large multiplex neural tube defect family refines linkage to loci at 7p21.1-pter and 2q33.1-q35.

BACKGROUND: Neural tube defects (NTDs) are considered complex, with both genetic and environmental factors implicated. To date, no major causative genes have been identified in humans despite several investigations. The first genomewide screen in NTDs demonstrated evidence of linkage to chromosomes 7 and 10. This screen included 44 multiplex families and consisted of 402 microsatellite markers spaced approximately 10 cM apart. Further investigation of the genomic screen data identified a single large multiplex family, pedigree 8776, as primarily driving the linkage results on chromosome 7. METHODS: To investigate this family more thoroughly, a high-density single nucleotide polymorphism (SNP) screen was performed. Two-point and multipoint linkage analyses were performed using both parametric and nonparametric methods. RESULTS: For both the microsatellite and SNP markers, linkage analysis suggested the involvement of a locus or loci proximal to the telomeric regions of chromosomes 2q and 7p, with both regions generating a LOD* score of 3.0 using a nonparametric identity by descent relative sharing method. CONCLUSIONS: The regions with the strongest evidence for linkage map proximal to the telomeres on these two chromosomes. In addition to mutations and/or variants in a major gene, these loci may harbor a microdeletion and/or translocation; potentially, polygenic factors may also be involved. This single family may be promising for narrowing the search for NTD susceptibility genes.

Chromosomes, Human, Pair 2↗
PubMed2005

Genome-wide association study to identify SNPs conferring risk of myocardial infarction and their functional analyses.

Myocardial infarction might result from the interactions of multiple genetic and environmental factors, none of which can cause disease solely by each of themselves. Although molecular biological studies revealed that a number of proteins are possibly involved in its pathogenesis, little, if any genetic findings have been reported so far. To reveal genetic backgrounds of myocardial infarction, we performed a large-scale, case-control association study using 92,788 gene-based single-nucleotide polymorphism (SNP) markers. We have identified functional SNPs within the lymphotoxin-alpha gene (LTA) located on chromosome 6p21 that conferred susceptibility to myocardial infarction. Furthermore, we could identify galectin-2 protein as a binding partner of LTA protein. The association study further revealed that a functional SNP in LGALS2 encoding galectin-2, which led to altered secretion of LTA, also indicated a risk of myocardial infarction. A combined strategy of genetic and molecularcellular biological approaches may be useful in clarifying pathogenesis of common diseases.

Case-Control Studies↗
PubMed2004

Haplotype block and superblock structures of the alpha1-adrenergic receptor genes reveal echoes from the chromosomal past.

A significant proportion of the human genome is contained within haplotype blocks across which pairwise linkage disequilibrium (LD) is very high. However, LD is also often high between markers at more remote distances, and within different haplotype blocks. Here, we evaluate the origins of haplotype block structure in the three genes for alpha1 adrenergic receptors (alpha1-AR) in the human genome ( ADRA1A, ADRA1B and ADRA1D) by genotyping dense single-nucleotide polymorphism (SNP) marker maps, and show that LD signals between distant markers are due to the presence of extended haplotype superblocks in individuals with ancient chromosomes which have escaped historic recombination. ARs mediate the physiological effects of epinephrine and norepinephrine, and are targets of many therapeutic drugs. This work has identified haplotype backgrounds of alpha1-AR missense variants, haplotype block structures in US Caucasians and African Americans, and haplotype tag SNPs for each block, and we present strong evidence for ancient haplotype block superstructure at these genes which has been partially disrupted by recombination, and evidence for reinstatement of linkage disequilibrium by subsequent recombination events. ADRA1A is comprised of four haplotype blocks in US Caucasians, while in African Americans Block 1 is split. ADRA1B has four blocks in US Caucasians, but in African Americans only the first two blocks are present. ADRA1D has two blocks in US Caucasians, and the first block is replaced by two smaller blocks in African Americans. For both ADRA1A and ADRA1B, haplotype superstructures may represent a novel, higher-level hierarchy in the human genome, which may reduce redundancy of testing by further aggregation of genotype data.

Black or African American↗
PubMed2003

Efficient selective screening of haplotype tag SNPs.

UNLABELLED: Haplotypes defined by common single nucleotide polymorphisms (SNPs) have important implications for mapping of disease genes and human traits. Often only a small subset of the SNPs is sufficient to capture the full haplotype information. Such subsets of markers are called haplotype tagging SNPs (htSNPs). Although htSNPs can be identified by eye, efficient computer algorithms and flexible interactive software tools are required for large datasets such as the human genome haplotype map. We describe a java-based program, SNPtagger, which screens for minimal sets of SNP markers to represent given haplotypes according to various user requirements. The program offers several options for inclusion/exclusion of specific markers and presents alternative panels for final selection. AVAILABILITY: The www-based program is available at http://www.well.ox.ac.uk/~xiayi/haplotype/index.html.

Algorithms↗
PubMed2026

Identification of Novel Sources and Genetic Mapping for Bacterial Leaf Streak Resistance in a Geographically Diverse Panel of Wheat.

Bacterial leaf streak (BLS), caused by Xanthomonas translucens pv. undulosa (Xtu), has recently emerged as a significant threat to wheat production in the Northern Great Plains region of the United States. Deploying resistant cultivars is an economical and practical method of controlling BLS. To identify novel sources of BLS resistance, we screened a set of 355 bread wheat landraces and cultivars representing global diversity for their response to BLS. A wide distribution of seedling responses against BLS was observed, with most genotypes displaying a moderately to highly susceptible response. Notably, we identified 5 resistant and 33 moderately resistant responses. A high-resolution genome-wide association study using 302,524 high-quality single-nucleotide polymorphisms (SNPs) identified 10 significant marker-trait associations (MTAs) on chromosomes 1A, 1D, 3B, 4A, and 5A corresponding to unique genomic regions associated with BLS resistance. Compared with previous studies, four of these genomic regions are likely novel. Of these, MTA 'scaffold15531_2782724' associated with q5A.1 was highly significant (-log10P = 9.39) and exhibited the highest SNP effect (0.35). An association on chromosome 3B validated a previously identified 3B quantitative trait locus (QTL) mapped at approximately 6 Mbp in the hard red spring wheat cultivar 'Boost', and the high-resolution mapping from our study further refined the interval for this QTL. Furthermore, the narrow haplotype blocks reported in this study could be valuable for fine mapping of important regions. The novel resistant sources, along with identified genomic loci and corresponding SNP markers from this study, would be helpful for wheat-breeding programs to enhance BLS resistance.[Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

BLS↗
PubMed2002

No evidence for involvement of the calpain-10 gene 'high-risk' haplotype combination for non-insulin-dependent diabetes mellitus in early onset obesity.

In light of evidence of linkage of obesity to chromosome 2q31-q37, we hypothesized that the calpain-10 gene 'high-risk' haplotype combination for non-insulin-dependent diabetes mellitus (NIDDM) is involved in early onset obesity. We screened the NIDDM 'high-risk'-haplotype combination formed by the alleles 112 and 121 of the polymorphisms UCSNP-43, -19, and -63 in 166 families consisting of an extremely obese child or adolescent (mean BMI percentile: 99.3+/-1.38), one or more obese sibs (mean BMI percentile: 97.42+/-2.88), and both of their parents. Genotyping for three calpain-10 gene polymorphisms was performed by polymerase chain reaction (PCR) with (a) length polymorphism detection (UCSNP-19) or (b) allele-specific PCR (UCSNP-43 and -63). To allow for correct haplotype assignment all individuals were additionally genotyped for two microsatellite markers (D2S125 and D2S2338). We followed a hierarchical test procedure. As the first step, model-free linkage analysis was performed using maximum likelihood binomial statistics. The second stage consisted of a one-sided asymptotic pedigree disequilibrium test for the UCSNP-43 and on an exploratory level for the other SNP-markers and all haplotypes formed by the three SNPs. The final stage investigated the reported haplotype combination. We failed to detect an initial linkage of obesity to this region (LOD score <0.4). All subsequent exploratory analyses were negative. Our analysis of the relationship between the NIDDM 'high-risk' haplotype combination and extreme early onset obesity revealed no evidence for linkage and association.

Adolescent↗
PubMed2005

Functional variants in SUMO4, TAB2, and NFkappaB and the risk of type 1 diabetes.

Several functional genetic variants that can potentially modulate the activity of NFkappaB have been recently described. As reduced NFkappaB activity has been implicated in risk for autoimmune diabetes in the NOD mouse, these variants were tested for allelic association with type 1 diabetes (T1D) in a family based study. Alleles at markers in the TAB2/SUMO4 locus on chromosome 6q had been previously reported to be associated with T1D in two separate studies, but these studies disagreed on the identity of the risk allele. The current study failed to confirm either of these results. No significant evidence of association with T1D was obtained for three SNP markers in the TAB2/SUMO4 region. An additional functional variant in the promoter of the NFKB1 gene that has been shown to directly affect the expression of NFkappaB was also tested.

Adaptor Proteins, Signal Transducing↗
PubMed2006

Dot-blot-SNP analysis for practical plant breeding and cultivar identification in rice.

We report dot-blot hybridization with allele-specific oligonucleotides for single nucleotide polymorphisms (SNPs) analysis to be applicable for practical plant breeding and cultivar identification. Competitive hybridization of a digoxigenin-labeled oligonucleotide having the sequence of a mutant allele (or a wild-type allele) together with an unlabeled oligonucleotide having the sequence of a wild-type allele (or a mutant allele) was highly effective to reduce background signals in dot-blot hybridization. All 100 tested genes (200 alleles) in rice having SNPs or insertions/deletions were detected in an allele-specific manner. Genotypes of 43 rice cultivars were identified by this technique, and eight SNP markers were found to be sufficient for distinguishing all the cultivars from each other. Dot-blot analysis was also applied to genotyping of Wx and Sd1 of F4 plants in a conventional breeding program. Since dot-blot analysis with competitive hybridization provides a highly reliable, simple, and cost-effective technique for SNP analysis of a large number of samples, this technique is expected to realize the practical use of a novel breeding method, in which plants or breeding lines are selected by SNP analyses of many genes in a laboratory.

Alleles↗
PubMed2001

Interleukin-8 haplotype structure from nucleotide sequence variation in commercial populations of U.S. beef cattle.

The aim of the present study was twofold: first, to design a panel of 96 sires that reflects the breadth of genetic diversity in U.S. beef cattle, and second, to use this panel to discover nucleotide sequence diversity and haplotype structures of interleukin (IL)-8 in commercial populations. The latter is a requisite for epidemiological studies designed to test whether IL8 alleles are risk factors for acquiring or maintaining bacterial infections in production environments. IL-8 encodes a proinflammatory cytokine that plays a central role in cell-mediated immunity by attracting and activating neutrophils in the early stages of host defense against bacterial invasion. Seven single-nucleotide polymorphism (SNP) markers were identified by sequencing two IL8 DNA segments amplified from the panel of 17 popular cattle breeds (MARC beef cattle diversity panel, version 2.1). Assays for automated genotype scoring by matrix-assisted laser desorption/ ionization time-of-flight mass spectrometry (MALDI-TOF MS) were developed to independently verify the seven SNP alleles in the 96 bulls and 313 cattle from the MARC reference population. Five haplotype structures, spanning the two IL8 DNA segments, were unambiguously defined for the set of seven IL8 SNPs. Based on the breadth of germplasm in bovine diversity panel, the five haplotype structures for IL8 are estimated to represent >98% of those present in these DNA segments in commercial populations of U.S. beef cattle. The frequencies of the five respective haplotypes in the eight Angus sires of the diversity panel (0.75, 0.25, 0.00, 0.00. 0.00) were similar to those scored in 150 purebred Angus cattle from six herds in four Midwestern states (0.82, 0.18, 0.01, 0.00 0.00), suggesting that the diversity panel may also be useful for estimating allele frequencies in commercial populations.

Animals↗
PubMed2006

A simple and reliable assay for detecting specific nucleotide sequences in plants using optical thin-film biosensor chips.

Here we report the adaptation and optimization of an efficient, accurate and inexpensive assay that employs custom-designed silicon-based optical thin-film biosensor chips to detect unique transgenes in genetically modified (GM) crops and SNP markers in model plant genomes. Briefly, aldehyde-attached sequence-specific single-stranded oligonucleotide probes are arrayed and covalently attached to a hydrazine-derivatized biosensor chip surface. Unique DNA sequences (or genes) are detected by hybridizing biotinylated PCR amplicons of the DNA sequences to probes on the chip surface. In the SNP assay, target sequences (PCR amplicons) are hybridized in the presence of a mixture of biotinylated detector probes and a thermostable DNA ligase. Only perfect matches between the probe and target sequences, but not those with even a single nucleotide mismatch, can be covalently fixed on the chip surface. In both cases, the presence of specific target sequences is signified by a color change on the chip surface (gold to blue/purple) after brief incubation with an anti-biotin IgG horseradish peroxidase (HRP) to generate a precipitable product from an HRP substrate. Highly sensitive and accurate identification of PCR targets can be completed within 30 min. This assay is extremely robust, exhibits high sensitivity and specificity, and is flexible from low to high throughput and very economical. This technology can be customized for any nucleotide sequence-based identification assay and widely applied in crop breeding, trait mapping, and other work requiring positive detection of specific nucleotide sequences.

Alleles↗
PubMed2002

Hypertension genetics, single nucleotide polymorphisms, and the common disease:common variant hypothesis.

The investigation of heritable susceptibility to disease is an effort to associate disease phenotype with underlying genotype. Such genotype:phenotype associations have been demonstrated for a large number of monogenetic disorders. The usual strategy has been to use linkage mapping in affected families to identify chromosomal loci from which candidate genes and genotypes can be tested for association with disease. This strategy has not been similarly successful for common heritable disease susceptibilities including hypertension that involve multiple genes and gene-environment interactions. Development of extensive collections of single nucleotide polymorphisms (SNPs) raises the possibility that these SNPs can be used as markers in genome-wide association mapping studies to identify hypertension susceptibility loci. In this approach, large numbers of markers are typed in cases and controls with the expectation that markers interrogating SNPs that are involved in inheritance of disease susceptibility will emerge through their association with this trait in the affected population. Essential hypertension is a common disorder. The term "common" has 2 implications: first, that the disease is prevalent; and, second, that it is widespread. Such frequency and distribution characteristics could arise if the susceptibility alleles for hypertension were prevalent in the founding population of contemporary human beings and became distributed with human global dispersal. This common disease:common variant concept is attractive because it suggests that the genetic heterogeneity underlying hypertension susceptibility could be relatively small. It also allows the possibility that nonrandom association of alleles (linkage disequilibrium, LD) can be used to reduce the number of SNP markers required to identify disease susceptibility alleles because a single marker can act as a surrogate for variation flanking it. The influence of a number of important factors on the detectability of hypertension susceptibility alleles by SNP mapping approaches is not yet fully defined. These factors include the locus and allelic diversity of hypertension, the weaker relationship (compared with Mendelian traits) between genotype and phenotype, the accuracy of high throughput genotyping techniques, the extensive role of nongenetic factors, and the extent and heterogeneous nature of LD across the genome.

Alleles↗