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Results for “single nucleotide variation”

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PubMed2001

Single nucleotide polymorphisms of the protoporphyrinogen oxidase gene: inter-population heterogeneity of allelic variation.

Five single nucleotide polymorphisms (SNPs) in the protoporphyrinogen oxidase gene (PPOX) were used for inter-population comparisons of six South African populations and two non-South African Caucasian populations. Novel polymorphisms identified in the promoter region and exon 11 of the PPOX gene, as well as three known variants in exon 1 and intron 2, were analysed using single-strand conformation polymorphism (SSCP) and restriction enzyme analyses. Significant population differences were found for four of the five polymorphisms analysed. A G-to-A transition was found at nucleotide position -1081 and is the first polymorphism to be identified in the 5' promoter region of the gene. A novel A-to-C substitution at nucleotide position 3880 in exon 11 was not detected in subjects of European descent. This study represents the first inter-population comparison of allelic variation at the PPOX locus. The significant differences observed between populations demonstrate the importance of population considerations when marker association studies are performed at this locus.

Alleles↗

PubMed2005

Genotyping--from genomic DNA to genotype in a single tube.

Nucleotide variations in the human genome, such as single-nucleotide polymorphisms, have been researched more intensively since it became apparent that these deviations are linked to various diseases and also several side effects of drugs. The investigation of genomic DNA in the laboratory requires routine methods that are time-, labour-, and cost-effective. These criteria are fulfilled by so-called closed-tube methods, which are applied directly to isolated genomic DNA without any preamplification.

Cytogenetic Analysis↗

PubMed2026

cgDist: Nucleotide-level distance calculation from cgMLST allelic profiles.

Bacterial genomic surveillance requires balancing computational efficiency with genetic resolution for effective cluster investigation. cgMLST distance calculations treat all allelic differences as equivalent units, obscuring nucleotide-level variation. Furthermore, single nucleotide polymorphism-based pipelines provide finer resolution at substantially higher computational cost, which limits their routine deployment in surveillance laboratories. We present cgDist, an algorithm that calculates nucleotide-level distances directly from cgMLST allelic profiles, providing finer resolution than allele-count distances by leveraging within-allele nucleotide variation. The cache architecture stores alignment statistics, enabling distance calculation modes without computation and supporting both dataset-specific and schema-complete cache generation. This design enables incremental surveillance analysis, with performance benefits as laboratories accumulate alignment data. cgDist functions as a precision 'zoom lens' for the investigation of clusters identified through initial cgMLST screening. Rather than restructuring population relationships, this targeted approach concentrates enhanced resolution where it is most informative. The algorithm ensures that cgDist distances are greater than or equal to corresponding cgMLST distances, preserving epidemiological interpretability while adding genetic discrimination. By increasing resolution within identified clusters, cgDist may also support outbreak investigation, a potential application that remains to be evaluated on outbreak-derived data.

Algorithms↗

PubMed2003

Genetic variation and hematology: single-nucleotide polymorphisms, haplotypes, and complex disease.

In the course of generating a draft sequence of the human genome, we now recognize the enormous scope of genetic variation among humans, which can be used to probe the genetics of complex diseases such as leukemia or thrombosis. There is already mounting evidence of new susceptibility genes and genes that interact with environmental factors. Genetic variants, especially single-nucleotide polymorphisms (SNPs), also can be utilized to investigate potential modifiers of disease. Genetic variation can be applied to study pharmacogenomics, which could eventually drive the choice of therapeutic and interventional strategies. The genomic revolution ultimately should give insights into key mechanisms in hematological disorders that can be translated into targeted therapies.

Genetic Predisposition to Disease↗

PubMed2004

A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms.

We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms (SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds (a broiler, a layer and a Chinese silkie) with that of their wild ancestor, red jungle fowl. Subsequent experiments indicate that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds. Mean nucleotide diversity is about five SNPs per kilobase for almost every possible comparison between red jungle fowl and domestic lines, between two different domestic lines, and within domestic lines--in contrast to the notion that domestic animals are highly inbred relative to their wild ancestors. In fact, most of the SNPs originated before domestication, and there is little evidence of selective sweeps for adaptive alleles on length scales greater than 100 kilobases.

Alleles↗

PubMed2001

A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms.

We describe a map of 1.42 million single nucleotide polymorphisms (SNPs) distributed throughout the human genome, providing an average density on available sequence of one SNP every 1.9 kilobases. These SNPs were primarily discovered by two projects: The SNP Consortium and the analysis of clone overlaps by the International Human Genome Sequencing Consortium. The map integrates all publicly available SNPs with described genes and other genomic features. We estimate that 60,000 SNPs fall within exon (coding and untranslated regions), and 85% of exons are within 5 kb of the nearest SNP. Nucleotide diversity varies greatly across the genome, in a manner broadly consistent with a standard population genetic model of human history. This high-density SNP map provides a public resource for defining haplotype variation across the genome, and should help to identify biomedically important genes for diagnosis and therapy.

Chromosome Mapping↗

PubMed2005

Review of denaturant capillary electrophoresis in DNA variation analysis.

Analyses of germline and somatic single-nucleotide DNA variations are important in both population genetics research and clinical practice. Reliable and inexpensive methods that are flexible and designed for automation are required for these analyses. Present day DNA sequencing technology is too expensive for testing all 22-25 000 human genes in populations genetics studies or in scanning large numbers of tumors for novel mutations. Denaturant capillary electrophoresis (DCE) has the potential to meet the need for large-scale analysis of DNA variants. Several different analyses can be performed by DCE, including mutation analysis, single-nucleotide polymorphism (SNP) discovery in individual and pooled samples, detection of allelic imbalance, and determination of microhaplotypes. Here we review the theoretical background of the method, its sensitivity, specificity, detection limit, throughput, and repeatability in the light of current literature in the field.

DNA↗

PubMed2001

Absence of mutations in human ubiquitin fusion-degradation protein gene in tetralogy of Fallot.

Congenital defects in human chromosome 22q11 deletion syndromes are associated with the 3rd and 4th pharyngeal pouch during fetal development. In the cardiovascular system, these disorders are usually apparent as conotruncal heart defects and aortic arch anomalies. UFD1L, a gene that is downregulated in dHAND-deficient mice, expressed in the mouse embryo at the branchial arch and mapped to human chromosome 22q11, has recently been strongly suspected to be responsible for the phenotypes expressed in 22q11 deletion syndromes. Its putative causal role in relevant congenital cardiovascular malformations was studied by gene dosage analysis, mutation screening and sequence analyses. Sixty cases of tetralogy of Fallot with no detectable chromosome deletion at 22q11 or 10p13 were examined, including 51 cases of simple tetralogy of Fallot, and 9 cases of tetralogy of Fallot with pulmonary atresia. None of these patients revealed deletion limited to a portion of the UFD1L gene. Although mobility shift was found by heteroduplex analysis in 24 cases at exon 4 and flanking sequences, further sequence analysis demonstrated only two silent nucleotide variations and a single nucleotide polymorphism in intron 4. Our data suggest that, although the UFD1L gene is mapped to 22q11 and is expressed during early murine development at both cardiac and cranial neural crests, it is not responsible for the majority of tetralogy of Fallot cases in humans.

Adaptor Proteins, Vesicular Transport↗

PubMed2001

[CSNP discovery by two-dimensional gene scanning (TDGS)].

Challenges in the post-genomic era are to use genetic information in correlating individual gene variations (SNPs; single nucleotide polymorphisms, the most common form of genetic variation) with medically important parameters, such as disease susceptibility, individual responses to drugs and prognostic variables. What is missing is a high-throughput technology to identify all possible SNPs in essentially all human genes in population-based studies with high accuracy and speed in a cost-effective manner. Most tests advocated for their high throughput at low cost are actually SNP screening tests. That is, they screen samples for the presence of one or multiple previously identified SNPs. Such screening methods are only useful when all relevant SNPs in the genes of interest are known, which is presently not the case. Moreover, the usefulness of any one SNP varies enormously from population to population. Indeed, for the Korean population, where no information on possible sequence variation is available, a mutational scanning method, capable to detect all possible gene variations will be most useful. Two-Dimensional Gene Scanning (TDGS) is a high-throughput platform that enables to detect all possible SNPs in an entire gene in one gel under one set of conditions, with high sensitivity and specificity. TDGS is based on automated two-dimensional (2-D) DNA electrophoresis according to size and base pair sequence to detect DNA fragments containing all possible variations. Because the 2-D format permits the analysis of as many as 40 fragments of 250 bp on average in parallel, TDGS allows extensive multiplex PCR (megaplex PCR), i.e. up to 26 fragments in one single reaction, resulting in a significant cost reduction. TDGS tests are designed using a computer program to optimally position PCR primers around the relevant target sequences (exons). A simple automated 2-D instrument allows scanning all exons of a large gene in 8 different samples well within 3 hours. Using three different fluorophores this provides a throughput.

BRCA1 Protein↗

PubMed2007

Signatures of positive selection in genes associated with human skin pigmentation as revealed from analyses of single nucleotide polymorphisms.

Phenotypic variation between human populations in skin pigmentation correlates with latitude at the continental level. A large number of hypotheses involving genetic adaptation have been proposed to explain human variation in skin colour, but only limited genetic evidence for positive selection has been presented. To shed light on the evolutionary genetic history of human variation in skin colour we inspected 118 genes associated with skin pigmentation in the Perlegen dataset, studying single nucleotide polymorphisms (SNPs), and analyzed 55 genes in detail. We identified eight genes that are associated with the melanin pathway (SLC45A2, OCA2, TYRP1, DCT, KITLG, EGFR, DRD2 and PPARD) and presented significant differences in genetic variation between Europeans, Africans and Asians. In six of these genes we detected, by means of the EHH test, variability patterns that are compatible with the hypothesis of local positive selection in Europeans (OCA2, TYRP1 and KITLG) and in Asians (OCA2, DCT, KITLG, EGFR and DRD2), whereas signals were scarce in Africans (DCT, EGFR and DRD2). Furthermore, a statistically significant correlation between genotypic variation in four pigmentation candidate genes and phenotypic variation of skin colour in 51 worldwide human populations was revealed. Overall, our data also suggest that light skin colour is the derived state and is of independent origin in Europeans and Asians, whereas dark skin color seems of unique origin, reflecting the ancestral state in humans.

Asian People↗

PubMed2026

Clinical Utility of Trio Exome Sequencing in Rwandan Children With Autism Spectrum Disorder.

INTRODUCTION: Autism spectrum disorder (ASD) is a neurodevelopmental condition with substantial genetic and phenotypic heterogeneity. However, populations of African ancestry remain underrepresented in genomic studies, limiting understanding of ASD genetic architecture. This study aimed to characterize rare, clinically relevant genetic variants in a Rwandan pediatric ASD cohort using trio-based whole-exome sequencing (WES). METHODS: Trio-based WES was performed in 31 Rwandan pediatric patients with ASD (aged 2-18 years) and their parents. Variants were analyzed using a trio-based workflow and classified according to American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) guidelines. RESULTS: Eleven candidate variants were identified in 9 of 31 patients, including four likely pathogenic variants and seven variants of uncertain significance. This resulted in a diagnostic yield of 12.9% (4/31), expanded to 29.0% when phenotypically concordant variants of uncertain significance were considered. Most likely pathogenic variants were identified in individuals with syndromic ASD who presented with intellectual disability, epilepsy, and global developmental delay. Likely pathogenic findings included two single nucleotide variants in GABRB3, SYNGAP1, and two copy-number variants involving the GNAS locus and chromosome 1p35.3-p35.2. CONCLUSIONS: The diagnostic yield observed in this cohort is consistent with previous trio-based WES studies of ASD. The findings support the clinical utility of WES for the genetic evaluation of ASD and underscore the need for expanded genomic studies in African populations.

Humans↗

PubMed1994

Prevalence of mutations in the insulin receptor gene in subjects with features of the type A syndrome of insulin resistance.

Mutations of the insulin receptor gene are a cause of the type A syndrome of extreme insulin resistance. This study assessed the prevalence of such mutations in women with clinical features of the type A syndrome including ovarian hyperandrogenism, moderate-to-severe degrees of insulin resistance, and acanthosis nigricans. We studied 22 unrelated women with insulin resistance (fasting insulin > 300 pM [50 microU/ml] and/or peak during an oral glucose tolerance test (OGTT) > 1,800 pM [300 microU/ml]), acanthosis nigricans, and the polycystic ovary syndrome (hyperandrogenemia, oligoamenorrhea, and hirsutism). Two insulin-resistant probands with congenital generalized lipodystrophy and one male proband with severe insulin resistance also were included in the study. Southern blotting experiments were performed to exclude gross gene deletions, insertions, or rearrangements. Exons 2-22 of the insulin receptor gene were polymerase chain reaction (PCR) amplified from genomic DNA and screened for nucleotide variation using single-strand conformation polymorphism (SSCP). No nucleotide variation between study subjects was detected in exons 4-6, 10-12, 15, 16, 18, 19, or 21. Sequencing of amplified DNA revealed that SSCP variants in exons 2, 3, 8, 9, and 17 corresponded to known silent polymorphisms within the coding region. Variants in exons 2, 9, 13, and 14 were caused by novel silent polymorphisms; variants in exons 7 and 22 were caused by nucleotide substitutions in flanking introns. One proband was found to have a heterozygous point mutation in exon 20 (CGG-->CAG, Arg1174-->Gln) that involves the intracellular receptor beta-subunit.(ABSTRACT TRUNCATED AT 250 WORDS)

Acanthosis Nigricans↗

PubMed2001

A nucleotide variant in the promoter region of the interleukin-6 gene associated with decreased bone mineral density.

Interleukin-6 (IL6) has come to be regarded as a potential osteoporotic factor because it has stimulatory effects on cells of the osteoclast lineage, and, thus, may play a role in the pathogenesis of bone loss associated with estrogen deficiency. We previously described association of the IL6 microsatellite with bone mineral density (BMD), as well as genetic linkage of the IL6 locus to human osteoporosis, by means of sib-pair analysis. However, the molecular mechanism by which this locus regulates BMD remains unknown. Accordingly, we searched for polymorphisms in the 5' and 3' flanking regions and in all five exons of the IL6 gene in a Japanese population sample. We identified three single-nucleotide sequence variations: a C/G substitution at nucleotide (nt) -634 in the promoter region, a G/A substitution at nt 4391 in the 3' noncoding region, and a variation in the AnTn tract around nt -447. The last of these had already been observed in Caucasians, as well as in Japanese. The single-nucleotide polymorphism at -634 created a restriction site for the BsrBI endonuclease, and the frequency of the minor (G) allele was 0.184. Five haplotypes were constructed among three variations examined in the population. Linkage disequilibrium was observed between the variation at -634 and the variation at 4391, as well as between the variation at -634 and the AnTn tract variation. We found a significant correlation, in 470 subjects, between the presence of the G allele and decreased BMD, by analysis of variance. When BMD values were compared among the three genotypic groups (G/G, G/C, C/C) at nt -634, BMD was lowest among the G/G homozygotes (mean +/- SD; 0.284 +/- 0.062g/cm2), highest among the C/C homozygotes (0.314 +/- 0.059g/cm2), and intermediate among the heterozygotes (0.303 +/- 0.066g/cm2; P < 0.05). Given the several lines of evidence from different genetic studies, we suggest that IL6 is, indeed, one of the genes affecting bone metabolism, in which variations can lead to osteoporosis.

Absorptiometry, Photon↗

PubMed2004

Regulatory SNPs in complex diseases: their identification and functional validation.

Finding the genetic causes for complex diseases is a challenge. Expression studies have shown that the level of expression of many genes is altered in disease compared with normal conditions, but what lies behind these changes? Linkage studies provide hints as to where in the genome the genetic triggers--the mutations--might be located. Fine-mapping and association studies can give yet more information about which genes, and which changes in the genes, are involved in the disease. Recent examples show that single-nucleotide polymorphisms (SNPs), which are variations at the single-nucleotide level within an individual's DNA, in the regulatory regions of some genes constitute susceptibility factors in many complex diseases. This article discusses the nature of regulatory SNPs (rSNPs) and techniques for their functional validation, and looks towards what rSNPs can tell us about complex diseases.

Alleles↗

PubMed1999

Allelic variants in the interleukin-6 gene and essential hypertension in Japanese women.

Genes that can be implicated in hypertension in experimental animals are plausible candidates in the pathogenesis of human hypertension. A recent genome-wide search for quantitative-trait loci (QTL) in hypertensive rats revealed a strong correlation between the interleukin-6 (IL-6) locus on rat chromosome 4 and systolic, diastolic, and mean arterial pressure in this mammalian species. To investigate a possible association between genetic variations of the IL-6 gene and hypertension in humans, we identified two novel single-nucleotide sequence variations, a C/G substitution at -634 in the promoter region and a G/A substitution at 4391 in a 3' non-coding portion of exon 5, and a previous reported sequence variant, an A/T variation in the composition of the AnTn tract around -447 in the promoter region (Fishman D et al. J Clin Invest 1998; 102: 1369-1376), within a test population of 96 Japanese subjects. Allelic associations involving these variations were analyzed in 150 hypertensive and 143 normotensive Japanese women. The distribution of alleles of the three polymorphisms, as well as a dinucleotide repeat present at the IL-6 locus, was similar in the two groups. Therefore, the IL-6 gene appears to play a minimal role in the genetic etiology of essential hypertension in Japanese women.

Aged↗

PubMed2002

Regional similarities in polymorphism in the human genome extend over many megabases.

The human genome exhibits extensive regional variation both in base composition and in the synonymous and nonsynonymous substitution rates of protein-coding genes. If such regional variation is due to variation in mutation rates, then levels of polymorphism should also vary across the human genome. Building on recent advances in mapping the human genome, we demonstrate regional variation in single nucleotide polymorphism density extending over many megabases. The range of local similarity in polymorphism shown by our genome-wide study is similar to the range of local similarity in base composition, and occurs over much longer distances than the variation in polymorphism revealed by studies of linkage disequilibrium.

GC Rich Sequence↗

PubMed2005

Functional diversity in the gene network controlled by the master regulator p53 in humans.

Individual differences in susceptibility to exposure induced diseases are likely due to variation in the DNA sequences of "environmental response" genes, many of which are arranged in complex regulatory networks. Among approximately 10 million inherited DNA variations, called single nucleotide polymorphisms (SNPs), perhaps only a few thousand, will actually influence human disease risk. We have combined bioinformatics and laboratory approaches to investigate genetic variation within the p53 stress response network. p53, a prominent tumor suppressor protein, is a master regulator that targets over a hundred genes for transcriptional upregulation or repression through sequence-specific interactions with DNA response elements (REs). We identified many human genes in the network that contain SNPs in REs that can be transactivated by p53. The discovery of these individual differences has implications for variation in human responses to environmental stresses, risk of disease, and responsiveness to drug therapies. The findings also provide insight into the evolution of complex networks and the role of master regulatory genes, such as p53, in such networks.

Alleles↗

PubMed2006

Dynamic variable selection in SNP genotype autocalling from APEX microarray data.

BACKGROUND: Single nucleotide polymorphisms (SNPs) are DNA sequence variations, occurring when a single nucleotide--adenine (A), thymine (T), cytosine (C) or guanine (G)--is altered. Arguably, SNPs account for more than 90% of human genetic variation. Our laboratory has developed a highly redundant SNP genotyping assay consisting of multiple probes with signals from multiple channels for a single SNP, based on arrayed primer extension (APEX). This mini-sequencing method is a powerful combination of a highly parallel microarray with distinctive Sanger-based dideoxy terminator sequencing chemistry. Using this microarray platform, our current genotype calling system (known as SNP Chart) is capable of calling single SNP genotypes by manual inspection of the APEX data, which is time-consuming and exposed to user subjectivity bias. RESULTS: Using a set of 32 Coriell DNA samples plus three negative PCR controls as a training data set, we have developed a fully-automated genotyping algorithm based on simple linear discriminant analysis (LDA) using dynamic variable selection. The algorithm combines separate analyses based on the multiple probe sets to give a final posterior probability for each candidate genotype. We have tested our algorithm on a completely independent data set of 270 DNA samples, with validated genotypes, from patients admitted to the intensive care unit (ICU) of St. Paul's Hospital (plus one negative PCR control sample). Our method achieves a concordance rate of 98.9% with a 99.6% call rate for a set of 96 SNPs. By adjusting the threshold value for the final posterior probability of the called genotype, the call rate reduces to 94.9% with a higher concordance rate of 99.6%. We also reversed the two independent data sets in their training and testing roles, achieving a concordance rate up to 99.8%. CONCLUSION: The strength of this APEX chemistry-based platform is its unique redundancy having multiple probes for a single SNP. Our model-based genotype calling algorithm captures the redundancy in the system considering all the underlying probe features of a particular SNP, automatically down-weighting any 'bad data' corresponding to image artifacts on the microarray slide or failure of a specific chemistry. In this regard, our method is able to automatically select the probes which work well and reduce the effect of other so-called bad performing probes in a sample-specific manner, for any number of SNPs.

Algorithms↗