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At least 487 records · Page 27Linked to original sources
PubMed2003

Identification of SNPs, mapping and analysis of allele frequencies in two candidate genes for meat production traits: the porcine myosin heavy chain 2B (MYH4) and the skeletal muscle myosin regulatory light chain 2 (HUMMLC2B).

Myosin is one of the most important skeletal muscle proteins. It is composed of myosin heavy chains and myosin light chains that exist with different isoforms coded by different genes. We studied the porcine myosin heavy chain 2B (MYH4) and the porcine skeletal muscle myosin regulatory light chain 2 (HUMMLC2B) genes. A single nucleotide polymorphism (SNP), identified for each gene, was used for linkage mapping of MYH4 and HUMMLC2B to porcine chromosome (Sscr) 12 and Sscr 3, respectively. The mapping of these two genes was confirmed by using a porcine-rodent radiation hybrid panel, even if for MYH4 the LOD score and the retention fraction were low. Allele frequencies at the two loci were studied in a sample of 307 unrelated pigs belonging to seven different pig breeds. Moreover the distribution of the alleles at these two loci was analysed in groups of pigs with extreme divergent (positive and negative) estimated breeding values (EBV) for four meat production traits that have undergone selection in Italian heavy pigs.

Animals↗
PubMedDate not supplied

Expressed sequence tags (ESTs) and single nucleotide polymorphisms (SNPs): what large-scale sequencing projects can tell us about ADME.

To date over 800 complete genomes have been sequenced, with many more partially complete. Coupled with the large amount of mRNA transcript sequence data being produced from expression studies, there is now a daunting amount of information available to the research scientist. This review examines how this information may be best used, focusing on examples from sequences encoding absorption, distribution, metabolism and excretion (ADME)-related proteins in particular. Through the use of phylogenetic, splice variant and single nucleotide polymorphism (SNP) analysis, the review examines not only how insights into species-specific responses to drug exposure may be gained, but also how best to utilize this information to predict both individual human responses and the impact of population variance in response.

Alternative Splicing↗
PubMed2003

Cancer pharmacogenomics: SNPs, chips, and the individual patient.

There is great heterogeneity in a patient's response to medications, often requiring empirical strategies to define the appropriate drug therapy for each patient. Pharmacogenomics aims to elucidate further the inherited nature of interindividual differences in drug disposition and effects, with the ultimate goal of providing a stronger scientific basis for selecting the optimal drug therapy and dosage for each patient. These genetic insights should also lead to mechanism-based approaches to the discovery and development of new medications. Genetic polymorphisms in drug metabolizing enzymes, transporters, receptors, and other drug targets have been linked to interindividual differences in the efficacy and toxicity of many medications. For example, polymorphism in thiopurine methyltransferase (TPMT) results in altered degradation of the commonly prescribed agent 6-mercaptopurine. This genetic variant has significant clinical implications because patients with functionally relevant homozygous mutations in the TPMT gene experience extreme or fatal toxicity after administration of normal doses of 6-MP. In addition, patients heterozygous for mutations in TPMT require slight dosage reduction of 6-MP and experience a greater degree of systemic toxicity from the agent. This and other examples of genetic polymorphism relevant to the treatment of cancer are highlighted to illustrate the promise and pitfalls of the exciting area of cancer therapeutics, with the potential of providing a stronger scientific basis to optimize drug therapy on the basis of each patient's genetic constitution.

Antimetabolites, Antineoplastic↗
PubMed2005

High-resolution identification of chromosomal abnormalities using oligonucleotide arrays containing 116,204 SNPs.

Mutation of the human genome ranges from single base-pair changes to whole-chromosome aneuploidy. Karyotyping, fluorescence in situ hybridization, and comparative genome hybridization are currently used to detect chromosome abnormalities of clinical significance. These methods, although powerful, suffer from limitations in speed, ease of use, and resolution, and they do not detect copy-neutral chromosomal aberrations--for example, uniparental disomy (UPD). We have developed a high-throughput approach for assessment of DNA copy-number changes, through use of high-density synthetic oligonucleotide arrays containing 116,204 single-nucleotide polymorphisms, spaced at an average distance of 23.6 kb across the genome. Using this approach, we analyzed samples that failed conventional karyotypic analysis, and we detected amplifications and deletions across a wide range of sizes (1.3-145.9 Mb), identified chromosomes containing anonymous chromatin, and used genotype data to determine the molecular origin of two cases of UPD. Furthermore, our data provided independent confirmation for a case that had been misinterpreted by karyotype analysis. The high resolution of our approach provides more-precise breakpoint mapping, which allows subtle phenotypic heterogeneity to be distinguished at a molecular level. The accurate genotype information provided on these arrays enables the identification of copy-neutral loss-of-heterozygosity events, and the minimal requirement of DNA (250 ng per array) allows rapid analysis of samples without the need for cell culture. This technology overcomes many limitations currently encountered in routine clinical diagnostic laboratories tasked with accurate and rapid diagnosis of chromosomal abnormalities.

Chromosome Aberrations↗
PubMed2004

Mapping SNPs to protein sequence and structure data.

MOTIVATION: Data on both single nucleotide polymorphisms and disease-related mutations are being collected at ever-increasing rates. To understand the structural effects of missense mutations, we consider both classes under the term single amino acid polymorphisms (SAAPs) and we wish to map these to protein structure where their effects can be analyzed. Our initial aim therefore is to create a completely automatically maintained database of SAAPs mapped to individual residues in the Protein Data Bank (PDB) updated as new mutations or structures become available. RESULTS: We present an integrated pipeline for the automated mapping of SAAP data from HGVbase to individual PDB residues. Achieving this in a completely automated and reliable manner is a complex task. Data extracted from HGVbase are mapped to EMBL entries to confirm whether the mutation occurs in an exon and, if so, where in the sequence it occurs. From there we map to Swiss-Prot entries and thence to the PDB. AVAILABILITY: The resulting database may be accessed over the web at http://www.bioinf.org.uk/saap/ or http://acrmwww.biochem.ucl.ac.uk/saap/ CONTACT: a.martin@biochem.ucl.ac.uk.

Algorithms↗
PubMed2005

SNPs, microarrays and pooled DNA: identification of four loci associated with mild mental impairment in a sample of 6000 children.

Mild mental impairment (MMI) represents the low extreme of the quantitative trait of general intelligence and is highly heritable. Quantitative trait loci (QTLs) conferring susceptibility to MMI, as for most complex traits, are likely to be of small effect size. Using a novel approach we call SNP-MaP (SNP Microarrays and Pooling), we have identified four loci associated with MMI. These four loci have been replicated in two SNP-MaP studies and verified by individual genotyping. The two SNP-MaP studies conducted were a case versus control comparison (n = 515 and n = 1028, respectively) and a low versus high general intelligence extremes group comparison (n = 503 and n = 505, respectively). Each of the four groups consisted of five independent 'subpools', with each subpool assayed on a separate microarray. Twelve loci showing the largest significant differences in both SNP-MaP studies were individually genotyped on 6154 children. Of the four loci positively associated with MMI, the minor allele of each conferred the greater risk for MMI. Two of the loci are close to known genes and may be in linkage disequilibrium with them. One of the loci is between the candidate genes KLF7 and CREB1, but given possible long-range effects on expression and the unknown importance of untranslated elements such as micro-RNAs, all four loci deserve attention as candidates. Although each SNP accounts for a small amount of variance, their effects are additive and they can be combined in a 'SNP set' that can be used as a genetic risk index for MMI in behavioral genomic analyses.

Child↗
PubMed2005

Functional promoter SNPs in cell cycle checkpoint genes.

A substantial number of genes mutated in human cancers encode components of the cell cycle processes. As the G1/S transition in the cell cycle is a finely regulated biological process, we hypothesized that sequence variations in the promoter region of the related genes might indeed lead to abnormal expression, thus predisposing the individuals carrying these genetic variants to cancer. In this report, we screened the promoter regions of 16 cell cycle checkpoint genes for DNA variants and assessed the functional impact of these promoter region single nucleotide polymorphisms (pSNPs) by combining in silico analysis and in vitro functional assays. We identified 127 pSNPs including 90 with predicted impact on putative binding sites of known transcription factors. Eleven pSNPs were selected for electrophoresis mobility shift assays because of their association with predicted gains of binding sites, and nine pSNPs showed differential allelic shifts in at least one cell line tested. Following the subcloning of the promoter regions into a gene reporter system, we found that at least four promoter haplotypes associated with CCND1, E2F1, HDAC1 and RB1 significantly influenced transcriptional activity in an allele-specific manner. Although the biological significance of these observations still remains to be demonstrated, the expected variability of expression levels in key cell cycle components might influence individual's risk of cancer.

Binding Sites↗
PubMed2007

The biological revolution: understanding the impact of SNPs on diet-cancer interrelationships.

Evidence is accumulating that individual risk of neoplasia depends on complex interactions among genetic inheritance, a range of exposures both in utero and in postnatal life, and the play of chance. Knowledge of the portfolio of genetic variants that confer susceptibility or resistance to cancer is limited, and there is potential for genome-wide scans and hypothesis-driven studies to reveal novel polymorphisms and haplotypes that modify risk. There is only fragmentary evidence of the scale and nature of diet-gene interactions that modulate risk of neoplasia, but it seems probable that such interactions will play a significant role as they do in other complex diseases including cardiovascular disease and type 2 diabetes. All existing evidence about diet-gene interactions and cancer risk comes from observational studies, and it will be necessary to undertake intervention studies to test the hypotheses generated by epidemiologic investigations. Because it is very unlikely that primary cancer will be an endpoint in dietary intervention studies in the foreseeable future, development of robust surrogate endpoints is a high priority. Emerging biological science using epigenomics, proteomics, and other molecular technologies appears to offer novel approaches to the discovery and validation of surrogate endpoints.

Diet↗
PubMed2003

High-resolution SNPs and microsatellite haplotypes point to a single, recent entry of Native American Y chromosomes into the Americas.

A total of 63 binary polymorphisms and 10 short tandem repeats (STRs) were genotyped on a sample of 2,344 Y chromosomes from 18 Native American, 28 Asian, and 5 European populations to investigate the origin(s) of Native American paternal lineages. All three of Greenberg's major linguistic divisions (including 342 Amerind speakers, 186 Na-Dene speakers, and 60 Aleut-Eskimo speakers) were represented in our sample of 588 Native Americans. Single-nucleotide polymorphism (SNP) analysis indicated that three major haplogroups, denoted as C, Q, and R, accounted for nearly 96% of Native American Y chromosomes. Haplogroups C and Q were deemed to represent early Native American founding Y chromosome lineages; however, most haplogroup R lineages present in Native Americans most likely came from recent admixture with Europeans. Although different phylogeographic and STR diversity patterns for the two major founding haplogroups previously led to the inference that they were carried from Asia to the Americas separately, the hypothesis of a single migration of a polymorphic founding population better fits our expanded database. Phylogenetic analyses of STR variation within haplogroups C and Q traced both lineages to a probable ancestral homeland in the vicinity of the Altai Mountains in Southwest Siberia. Divergence dates between the Altai plus North Asians versus the Native American population system ranged from 10,100 to 17,200 years for all lineages, precluding a very early entry into the Americas.

Analysis of Variance↗
PubMed2005

Geographical distribution of selected and putatively neutral SNPs in Southeast Asian malaria parasites.

Loci targeted by directional selection are expected to show elevated geographical population structure relative to neutral loci, and a flurry of recent papers have used this rationale to search for genome regions involved in adaptation. Studies of functional mutations that are known to be under selection are particularly useful for assessing the utility of this approach. Antimalarial drug treatment regimes vary considerably between countries in Southeast Asia selecting for local adaptation at parasite loci underlying resistance. We compared the population structure revealed by 10 nonsynonymous mutations (nonsynonymous single-nucleotide polymorphisms [nsSNPs]) in four loci that are known to be involved in antimalarial drug resistance, with patterns revealed by 10 synonymous mutations (synonymous single-nucleotide polymorphisms [sSNPs]) in housekeeping genes or genes of unknown function in 755 Plasmodium falciparum infections collected from 13 populations in six Southeast Asian countries. Allele frequencies at known nsSNPs underlying resistance varied markedly between locations (F(ST) = 0.18-0.66), with the highest frequencies on the Thailand-Burma border and the lowest frequencies in neighboring Lao PDR. In contrast, we found weak but significant geographic structure (F(ST) = 0-0.14) for 8 of 10 sSNPs. Importantly, all 10 nsSNPs showed significantly higher F(ST) (P < 8 x 10(-5)) than simulated neutral expectations based on observed F(ST) values in the putatively neutral sSNPs. This result was unaffected by the methods used to estimate allele frequencies or the number of populations used in the simulations. Given that dense single-nucleotide polymorphism (SNP) maps and rapid SNP assay methods are now available for P. falciparum, comparing genetic differentiation across the genome may provide a valuable aid to identifying parasite loci underlying local adaptation to drug treatment regimes or other selective forces. However, the high proportion of polymorphic sites that appear to be under balancing selection (or linked to selected sites) in the P. falciparum genome violates the central assumption that selected sites are rare, which complicates identification of outlier loci, and suggests that caution is needed when using this approach.

Animals↗
PubMed2000

HGBASE: a database of SNPs and other variations in and around human genes.

Human genome polymorphism is expected to play a key role in defining the etiologic basis of phenotypic differences between individuals in aspects such as drug responses and common disease predisposition. Relevant functional DNA changes will probably be located in or near to transcribed sequences, and include many single nucleotide polymorphisms. To aid the future analysis of such genome variation, HGBASE (Human Genic Bi-Allelic SEquences) was constructed as a means to gather human gene-linked polymorphisms from all possible public sources, and show these as a non-redundant set of records in a standardized and user-friendly database endowed with text and sequence based search facilities. After 1 year of presence on the WWW, the HGBASE project has compiled data for over 22 000 records, and this number continues to triple every 6-12 months with data harvested or submitted from all major public genome databases and published literature from the previous decade. Extensive annotation enhancement, internal consistency checking and manual review of every record is undertaken to address potential errors and deficiencies sometimes present in the original source data. The fully polished and comprehensive database is made freely available to all at http://hgbase.cgr.ki.se

Databases, Factual↗
PubMed2001

L-RCA (ligation-rolling circle amplification): a general method for genotyping of single nucleotide polymorphisms (SNPs).

A flexible, non-gel-based single nucleotide polymorphism (SNP) detection method is described. The method adopts thermostable ligation for allele discrimination and rolling circle amplification (RCA) for signal enhancement. Clear allelic discrimination was achieved after staining of the final reaction mixtures with Cybr-Gold and visualisation by UV illumination. The use of a compatible buffer system for all enzymes allows the reaction to be initiated and detected in the same tube or microplate well, so that the experiment can be scaled up easily for high-throughput detection. Only a small amount of DNA (i.e. 50 ng) is required per assay, and use of carefully designed short padlock probes coupled with generic primers and probes make the SNP detection cost effective. Biallelic assay by hybridisation of the RCA products with fluorescence dye-labelled probes is demonstrated, indicating that ligation-RCA (L-RCA) has potential for multiplexed assays.

Alleles↗
PubMed2002

SELEX_DB: a database on in vitro selected oligomers adapted for recognizing natural sites and for analyzing both SNPs and site-directed mutagenesis data.

SELEX_DB is an online resource containing both the experimental data on in vitro selected DNA/RNA oligomers (aptamers) and the applets for recognition of these oligomers. Since in vitro experimental data are evidently system-dependent, the new release of the SELEX_DB has been supplemented by the database SYSTEM storing the experimental design. In addition, the recognition applet package, SELEX_TOOLS, applying in vitro selected data to annotation of the genome DNA, is accompanied by the cross-validation test database CROSS_TEST discriminating the sites (natural or other) related to in vitro selected sites out of random DNA. By cross-validation testing, we have unexpectedly observed that the recognition accuracy increases with the growth of homology between the training and test sets of protein binding sequences. For natural sites, the recognition accuracy was lower than that for the nearest protein homologs and higher than that for distant homologs and non-homologous proteins binding the common site. The current SELEX_DB release is available at http://wwwmgs.bionet.nsc.ru/mgs/systems/selex/.

Binding Sites↗
PubMed2001

Single nucleotide polymorphisms (SNPs) assay using reversible association and dispersion of DNA-linked colloidal nanoparticles.

The amphiphilic copolymer consisting of oligodeoxyribonucleotide (ODN; dT12) as the hydrophilic part and thermo-responsive poly(N-isopropylacrylamide) (polyNIPAAm) as the hydrophobic part was prepared. The copolymers formed DNA-linked colloidal nanoparticles above the phase transition temperature of polyNIPAAm part. The nanoparticles aggregated rapidly when the complementary ODN (dA12) was added into the dispersion. In contrast, they kept dispersed in the absence of the complementary ODN and in the presence of the point-mutated ODN ((dA6)dT(dA5)). These distinct phenomena may be applied for an oligonucleotides discrimination system in gene diagnosis.

Acrylic Resins↗