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PubMed2005

SNPHunter: a bioinformatic software for single nucleotide polymorphism data acquisition and management.

BACKGROUND: Single nucleotide polymorphisms (SNPs) provide an important tool in pinpointing susceptibility genes for complex diseases and in unveiling human molecular evolution. Selection and retrieval of an optimal SNP set from publicly available databases have emerged as the foremost bottlenecks in designing large-scale linkage disequilibrium studies, particularly in case-control settings. RESULTS: We describe the architectural structure and implementations of a novel software program, SNPHunter, which allows for both ad hoc-mode and batch-mode SNP search, automatic SNP filtering, and retrieval of SNP data, including physical position, function class, flanking sequences at user-defined lengths, and heterozygosity from NCBI dbSNP. The SNP data extracted from dbSNP via SNPHunter can be exported and saved in plain text format for further down-stream analyses. As an illustration, we applied SNPHunter for selecting SNPs for 10 major candidate genes for type 2 diabetes, including CAPN10, FABP4, IL6, NOS3, PPARG, TNF, UCP2, CRP, ESR1, and AR. CONCLUSION: SNPHunter constitutes an efficient and user-friendly tool for SNP screening, selection, and acquisition. The executable and user's manual are available at http://www.hsph.harvard.edu/ppg/software.htm

Algorithms↗
PubMed2006

Application of genome-wide single nucleotide polymorphism typing: simple association and beyond.

The International HapMap Project and the arrival of technologies that type more than 100,000 SNPs in a single experiment have made genome-wide single nucleotide polymorphism (GW-SNP) assay a realistic endeavor. This has sparked considerable debate regarding the promise of GW-SNP typing to identify genetic association in disease. As has already been shown, this approach has the potential to localize common genetic variation underlying disease risk. The data provided from this technology also lends itself to several other lines of investigation; autozygosity mapping in consanguineous families and outbred populations, direct detection of structural variation, admixture analysis, and other population genetic approaches. In this review we will discuss the potential uses and practical application of GW-SNP typing including those above and beyond simple association testing.

Chromosomes, Human↗
PubMed2000

Usefulness of single nucleotide polymorphism data for estimating population parameters.

Single nucleotide polymorphism (SNP) data can be used for parameter estimation via maximum likelihood methods as long as the way in which the SNPs were determined is known, so that an appropriate likelihood formula can be constructed. We present such likelihoods for several sampling methods. As a test of these approaches, we consider use of SNPs to estimate the parameter Theta = 4N(e)micro (the scaled product of effective population size and per-site mutation rate), which is related to the branch lengths of the reconstructed genealogy. With infinite amounts of data, ML models using SNP data are expected to produce consistent estimates of Theta. With finite amounts of data the estimates are accurate when Theta is high, but tend to be biased upward when Theta is low. If recombination is present and not allowed for in the analysis, the results are additionally biased upward, but this effect can be removed by incorporating recombination into the analysis. SNPs defined as sites that are polymorphic in the actual sample under consideration (sample SNPs) are somewhat more accurate for estimation of Theta than SNPs defined by their polymorphism in a panel chosen from the same population (panel SNPs). Misrepresenting panel SNPs as sample SNPs leads to large errors in the maximum likelihood estimate of Theta. Researchers collecting SNPs should collect and preserve information about the method of ascertainment so that the data can be accurately analyzed.

Computer Simulation↗
PubMed2004

Single nucleotide polymorphisms associated with rat expressed sequences.

Single nucleotide polymorphisms (SNPs) are the most common source of genetic variation in populations and are thus most likely to account for the majority of phenotypic and behavioral differences between individuals or strains. Although the rat is extensively studied for the latter, data on naturally occurring polymorphisms are mostly lacking. We have used publicly available sequences consisting of whole-genome shotgun (WGS), expressed sequence tag (EST), and mRNA data as a source for the in silico identification of SNPs in gene-coding regions and have identified a large collection of 33,305 high-quality candidate SNPs. Experimental verification of 471 candidate SNPs using a limited set of rat isolates revealed a confirmation rate of approximately 50%. Although the majority of SNPs were identified between Sprague-Dawley (EST data) and Brown Norway (WGS data) strains, we found that 66% of the verified variations are common among different rat strains. All SNPs were extensively annotated, including chromosomal and genetic map information, and nonsynonymous SNPs were analyzed by SIFT and PolyPhen prediction programs for their potential deleterious effect on protein function. Interestingly, we retrieved three SNPs from the database that result in the introduction of a premature stop codon and that could be confirmed experimentally. Two of these "in silico-identified knockouts" reside in interesting QTL regions. Data are publicly available via a Web interface (http://cascad.niob.knaw.nl), allowing simple and advanced search queries.

Animals↗
PubMed2004

Genome-wide single-nucleotide polymorphism map for Candida albicans.

Single-nucleotide polymorphisms (SNPs) are essential tools for studying a variety of organismal properties and processes, such as recombination, chromosomal dynamics, and genome rearrangement. This paper describes the development of a genome-wide SNP map for Candida albicans to study mitotic recombination and chromosome loss. C. albicans is a diploid yeast which propagates primarily by clonal mitotic division. It is the leading fungal pathogen that causes infections in humans, ranging from mild superficial lesions in healthy individuals to severe, life-threatening diseases in patients with suppressed immune systems. The SNP map contains 150 marker sequences comprising 561 SNPs and 9 insertions-deletions. Of the 561 SNPs, 437 were transition events while 126 were transversion events, yielding a transition-to-transversion ratio of 3:1, as expected for a neutral accumulation of mutations. The average SNP frequency for our data set was 1 SNP per 83 bp. The map has one marker placed every 111 kb, on average, across the 16-Mb genome. For marker sequences located partially or completely within coding regions, most contained one or more nonsynonymous substitutions. Using the SNP markers, we identified a loss of heterozygosity over large chromosomal fragments in strains of C. albicans that are frequently used for gene manipulation experiments. The SNP map will be useful for understanding the role of heterozygosity and genome rearrangement in the response of C. albicans to host environments.

Candida albicans↗
PubMed2003

Prospects for inferring pairwise relationships with single nucleotide polymorphisms.

An extraordinarily large number of single nucleotide polymorphisms (SNPs) are now available in humans as well as in other model organisms. Technological advancements may soon make it feasible to assay hundreds of SNPs in virtually any organism of interest. One potential application of SNPs is the determination of pairwise genetic relationships in populations without known pedigrees. Although microsatellites are currently the marker of choice for this purpose, the number of independently segregating microsatellite markers that can be feasibly assayed is limited. Thus, it can be difficult to distinguish reliably some classes of relationship (e.g. full-sibs from half-sibs) with microsatellite data alone. We assess, via Monte Carlo computer simulation, the potential for using a large panel of independently segregating SNPs to infer genetic relationships, following the analytical approach of Blouin et al. (1996). We have explored a 'best case scenario' in which 100 independently segregating SNPs are available. For discrimination among single-generation relationships or for the identification of parent-offspring pairs, it appears that such a panel of moderately polymorphic SNPs (minor allele frequency of 0.20) will provide discrimination power equivalent to only 16-20 independently segregating microsatellites. Although newly available analytical methods that can account for tight genetic linkage between markers will, in theory, allow improved estimation of relationships using thousands of SNPs in highly dense genomic scans, in practice such studies will only be feasible in a handful of model organisms. Given the comparable amount of effort required for the development of both types of markers, it seems that microsatellites will remain the marker of choice for relationship estimation in nonmodel organisms, at least for the foreseeable future.

Computer Simulation↗
PubMed2003

Genotype and haplotype distributions of MTHFR677C>T and 1298A>C single nucleotide polymorphisms: a meta-analysis.

Common single nucleotide polymorphisms (SNPs; 677C>T and 1298A>C) in the methylenetetrahydrofolate reductase gene ( MTHFR) decrease the activity of the enzyme, leading to hyperhomocysteinemia, particularly in folate-deficient states. We calculate herein the haplotype frequencies of the MTHFR 677 and 1298 polymorphisms in pooled general populations derived from published data. We selected 16 articles that provided reliable data on combined MTHFR genotypes in general populations ( n = 5389). The combined data comprised the following totals for each genotype at nucleotide positions 677 and 1298: 838 CC/AA (i.e., 677CC/1298AA), 1225 CC/AC, 489 CC/CC, 1120 CT/AA, 1093 CT/AC, 8 CT/CC, 606 TT/AA, 10 TT/AC, and 0 TT/CC. The estimated haplotype frequencies, and the fractional contribution of each, were 677C/1298A, 0.37; 677C/1298C, 0.31; 677T/1298A, 0.32; and 677T/1298C, 0.0023 to 0.0034. Thus, a vast majority of 677T alleles and 1298C alleles are associated with 1298A alleles and 677C alleles, respectively. There may be an increased frequency of the very rare cis 677T/1298C haplotype in some parts of the United Kingdom and Canada, possibly due to a founder effect. Further studies on both SNPs are needed to determine their exact role in various clinical settings.

Genotype↗
PubMed2000

Eleven single nucleotide polymorphisms and one triple nucleotide insertion of the human TGF-beta III receptor gene.

We found 11 single nucleotide polymorphisms and one triple nucleotide insertion in the cDNA of the human transforming growth factor beta (TGF-beta) III receptor gene (TGFBR3) located on 1p33-p32, encoding beta-glycan, a component of the TGF-beta receptor system. Inside the 5' untranslated region (UTR), a G-->A polymorphism was identified at position 311. In the open reading frame (ORF), a non-conservative T-->C polymorphism was identified at position 392, and three conservative polymorphisms were found at positions 563 (G-->A), 1548 (G-->A), and 2370 (C-->T). A triple nucleotide insertion (GCA) was identified at position 1419. Inside the 3' UTR, six polymorphisms were identified: four G-->A, at positions 2918, 3055, 3098, and 3355; one T-->A, at position 3183; and one G-->C, at position 3966. In addition to these changes, some divergences from the published sequence were observed in all 12 chromosomes tested. These included, in the ORF, an additional C after position 555, two additional G after position 563, and an additional T after position 1388. No T was found at position 1394. The alterations translate to a changed amino acid sequence. Inside the 3' UTR, additional discrepancies were identified. The discovered changes and polymorphisms may be useful for further genetic studies of TGFBR3 receptor deficiencies.

3' Untranslated Regions↗
PubMed2000

Genetics of platelet receptor single-nucleotide polymorphisms: clinical implications in thrombosis.

Several single-nucleotide polymorphisms (SNPs) of platelet receptors have been implicated to be associated with an increased risk of arterial thrombosis; this review focuses on the mechanisms and the clinical significance of two specific single-nucleotide polymorphisms, ie the GP IIIa L33P (=PlA1/2) and the GP Ia 807 C/T. Whereas the mechanism of P1A2 is thought to result from 'gain of receptor function' (and there is still considerable controversy on this subject), the collagen receptor SNP is associated with an increased number of receptors on the platelet surface, thus offering a plausible explanation for the observed increased interaction with collagen and the increased risk of thrombotic events reported in some studies but not in others. Overall, the presently available (controversial) data do still not allow the conclusion that the GPIIIa polymorphism alone represents a cardiovascular risk factor in the general population. A number of mechanisms and a series of studies suggest, however, that it may be a risk factor in certain subgroups of patients or in a number of clinical situations. The GPIa SNP discussed seems to be a mild risk factor that is particularly important in synergism with known risk factors, such as smoking, hypertension, diabetes or proteinuria, etc, which may enhance its contribution to the overall cardiovascular risk.

Angina Pectoris↗
PubMed2005

Further tests of the association between schizophrenia and single nucleotide polymorphism markers at the catechol-O-methyltransferase locus in an Askenazi Jewish population using microsatellite markers.

Association studies are now primarily being conducted with single nucleotide polymorphisms because they are present everywhere in the genome and can be genotyped in "high throughput" formats. Microsatellite markers have a higher degree of polymorphism than single nucleotide polymorphisms and have been widely used in both linkage and association studies of disease. Polymorphic microsatellite markers with several alleles can readily detect linkage disequilibrium but at any given locus there may be differences between single nucleotide polymorphisms and microsatellites in their power to detect linkage disequilibrium because of the evolutionary history of the locus, especially the rate at which both the single nucleotide polymorphisms and microsatellite polymorphisms have mutated and the number of disease mutations and their history. In the current study, we examined the efficiency of microsatellite markers in association analysis by looking at all existent microsatellite markers in the catechol-O-methyltransferase gene region and by genotyping these microsatellites in a large cohort of schizophrenia patients and healthy controls, a subset of a sample where catechol-O-methyltransferase and schizophrenia were found to be associated. We also estimated the levels of linkage disequilibrium between these microsatellites and the previously reported single nucleotide polymorphisms (within the catechol-O-methyltransferase gene) found to be associated with schizophrenia. A modest allelic association of P=0.041 was found between schizophrenia and the microsatellite marker D22S944, which was not significant, however, when corrected for all microsatellites tested. Nevertheless, significant linkage disequilibrium was found between this marker and the three single nucleotide polymorphisms within the catechol-O-methyltransferase gene that displayed association with the disease in the previously published research on this sample. Significant linkage disequilibrium was also observed between microsatellites up to approximately 300 kb distant from those single nucleotide polymorphisms. Although significant, the extent of linkage disequilibrium in terms of r2 was small (in the order of 0.01).

Base Sequence↗
PubMed2002

Evaluation of a potential epigenetic biomarker by quantitative methyl-single nucleotide polymorphism analysis.

Tumorigenesis is characterized by alterations of methylation profiles including loss and gain of 5-methylcytosine. Recently, we identified a single CpG, which seemed to be consistently hypomethylated in pilocytic astrocytomas but not in other gliomas. To evaluate its applicability as a biomarker, we examined its methylation status in a large panel of gliomas (n = 97). Methylation-dependent DNA sequence variation may be considered a kind of single nucleotide polymorphism (methylSNP). MethylSNPs can be easily converted into common SNPs of the C/T type by sodium bisulfite treatment of the DNA and afterwards subjected to conventional SNP typing. We adapted SnaPshot trade mark and Pyrosequencing trade mark to determine the methylation of our test CpG in a quantitative manner. The adapted methods, called SNaPmeth and PyroMeth, respectively, gave nearly identical results, however data obtained with PyroMeth showed less scattering. Furthermore, the integrated software for allele frequency determination from Pyrosequencing could be used directly for data analysis while SnaPmeth data had to be exported and processed manually. Although data did not confirm our previous result of a preferential hypomethylation of the tested CpG in pilocytic astrocytomas, we consider quantitative methylSNP analysis by SNaPmeth or PyroMeth a favorable alternative to existing high-throughput methylation assays. It combines single CpG analysis with accurate quantitation and is amenable to high throughput.

Adolescent↗
PubMed2000

A novel procedure for efficient genotyping of single nucleotide polymorphisms.

Due to the surge in interest in using single nucleotide polymorphisms (SNPs) for genotyping a facile and affordable method for this is an absolute necessity. Here we introduce a procedure that combines an easily automatable single tube sample preparation with an efficient high throughput mass spectrometric analysis technique. Known point mutations or single nucleotide polymorphisms are easily analysed by this procedure. It starts with PCR amplification of a short stretch of genomic DNA, for example an exon of a gene containing a SNP. By shrimp alkaline phosphatase digest residual dNTPs are destroyed. Allele-specific products are generated using a special primer, a conditioned set of alpha-S-dNTPs and alpha-S-ddNTPs and a fresh DNA polymerase in a primer extension reaction. Unmodified DNA is removed by 5'-phospho-diesterase digestion and the modified products are alkylated to increase the detection sensitivity in the mass spectrometric analysis. All steps of the preparation are simple additions of solutions and incubations. The procedure operates at the lowest practical sample volumes and in contrast to other genotyping protocols with mass spectrometric detection requires no purification. This reduces the cost and makes it easy to implement. Here it is demonstrated in a version using positive ion detection on described mutations in exon 17 of the amyloid precursor protein gene and in a version using negative ion detection on three SNPs of the granulocyte-macrophage colony stimulating factor gene. Preparation and analysis of SNPs is shown separately and simultaneously, thus demonstrating the multiplexibility of this genotyping procedure. The preparation protocol for genotyping is adapted to the conditions used for the SNP discovery method by denaturing HPLC, thus demonstrating a facile link between protocols for SNP discovery and SNP genotyping. Results corresponded unanimously with the control sequencing. The procedure is useful for high throughput genotyping as it is required for gene identification and pharmacogenomics where large numbers of DNA samples have to be analysed. We have named this procedure the 'GOOD Assay' for SNP analysis.

Amyloid beta-Protein Precursor↗
PubMed2000

Detection of single nucleotide polymorphisms of the human mu opioid receptor gene by hybridization or single nucleotide extension on custom oligonucleotide gelpad microchips: potential in studies of addiction.

The human mu opioid receptor (MOR) plays a central role in mediating the effects of opioids, both endogenous and exogenous. Epidemiological studies have shown that addiction in general, and especially opiate addiction, has a heritable component. Clinical and laboratory studies suggest that the MOR gene may contribute to the heritable component of vulnerability to develop opiate addiction. Naturally occurring single nucleotide polymorphisms (SNPs) have been identified in the MOR gene by conventional methods. Two coding region SNPs, the A118G and C17T substitutions, occur at high allelic frequencies (10.5% and 6.6%, respectively, in our previous studies). These common SNPs cause amino acid changes in the receptor, and may have implications for differences in individual responses to opioids, as well as decreased or increased vulnerability to opiate addiction. The A118G substitution encodes a variant receptor with binding and signal transduction differences in response to beta-endorphin in cellular assays. Recent innovations in microchip technology offer new potential methods for SNP detection. We report here on the development of two separate approaches using custom oligonucleotide gelpad microarrays for detection of these two common SNPs of the MOR gene in human DNA samples. First, PCR-amplified genomic DNA samples were used to produce target sequences, which were labeled with fluorescent dye and hybridized to custom microchips. Oligonucleotides on these reusable microchips were designed to query nucleotide substitutions at positions 17 and 118 of the MOR gene. Thirty-six human DNA samples were assayed both on these custom microchips and by conventional automated gel sequencing, with highly concordant identification of both heterozygous and homozygous substitutions. A second approach was developed for the C17T SNP utilizing single nucleotide extension on custom microchips. These custom gelpad microchips have potential for the rapid and inexpensive detection of specific SNPs for genetic and genomic studies.

DNA↗
PubMed2004

Coding single-nucleotide polymorphisms associated with complex vs. Mendelian disease: evolutionary evidence for differences in molecular effects.

Most Mendelian diseases studied to date arise from mutations that lead to a single amino acid change in an encoded protein. An increasing number of complex diseases have also been associated with amino acid-changing single-nucleotide polymorphisms (coding SNPs, cSNPs), suggesting potential similarities between Mendelian and complex diseases at the molecular level. Here, we use two different evolutionary analyses to compare Mendelian and complex disease-associated cSNPs. In the first, we estimate the likelihood that a specific amino acid substitution in a protein will affect the protein's function, by using amino acid substitution scores derived from an alignment of related protein sequences and statistics from hidden Markov models. In the second, we use standard Ka/Ks ratios to make comparisons at the gene, rather than the individual amino acid, level. We find that Mendelian disease cSNPs have a very strong tendency to occur at highly conserved amino acid positions in proteins, suggesting that they generally have a severe impact on the function of the protein. Perhaps surprisingly, the distribution of amino acid substitution scores for complex disease cSNPs is dramatically different from the distribution for Mendelian disease cSNPs, and is indistinguishable from the distribution for "normal" human variation. Further, the distributions of Ka/Ks ratios for human and mouse orthologs indicate greater positive selection (or less negative selection) pressure on complex disease-associated genes, on average. These findings suggest that caution should be exercised when using Mendelian disease as a model for complex disease, at least with respect to molecular effects on protein function.

Biological Evolution↗
PubMed2002

Single-nucleotide polymorphism characterization in species with limited available sequence information: high nucleotide diversity revealed in the avian genome.

As a case study for single-nucleotide polymorphism (SNP) identification in species for which little or no sequence information is available, we investigated several approaches to identifying SNPs in two passerine bird species: pied and collared flycatchers (Ficedula hypoleuca and F. albicollis). All approaches were successful in identifying sequence polymorphism and over 50 candidate SNPs per species were identified from approximately 9.1 kb of sequence. In addition, 17 sites were identified in which the frequency of alternative bases differed by > 50% between species (termed interspecific SNPs). Interestingly, polymorphism of microsatellite/intron loci in the source species appeared to be a positive predictor of nucleotide diversity in homologous flycatcher sequences. The overall nucleotide diversity of flycatchers was 2.3-2.7 x 10(-3), which is approximately 3-6 times higher than observed in recent studies of human SNPs. Higher nucleotide diversity in the avian genome could be due to the relatively older age of flycatcher populations, compared with humans, and/or a higher long-term effective population size.

Animals↗
PubMed2005

The usefulness of single nucleotide polymorphisms (SNPs) for genetic epidemiological investigation of complex psychiatric diseases.

The genetic epidemiology of complex psychiatric diseases has become a much studied and very prospering field. It is widely believed that many genetic factors contribute to the various phenotypes and diseases, with overall contributions of a single factor being comparatively minor. The study of choice in such settings is the investigation of allelic association, which may be performed in a variety of ways. Here single nucleotide polymorphisms are an indispensable tool.

Gene Frequency↗
PubMed2000

Large-scale discovery and genotyping of single-nucleotide polymorphisms in the mouse.

Single-nucleotide polymorphisms (SNPs) have been the focus of much attention in human genetics because they are extremely abundant and well-suited for automated large-scale genotyping. Human SNPs, however, are less informative than other types of genetic markers (such as simple-sequence length polymorphisms or microsatellites) and thus more loci are required for mapping traits. SNPs offer similar advantages for experimental genetic organisms such as the mouse, but they entail no loss of informativeness because bi-allelic markers are fully informative in analysing crosses between inbred strains. Here we report a large-scale analysis of SNPs in the mouse genome. We characterized the rate of nucleotide polymorphism in eight mouse strains and identified a collection of 2,848 SNPs located in 1,755 sequence-tagged sites (STSs) using high-density oligonucleotide arrays. Three-quarters of these SNPs have been mapped on the mouse genome, providing a first-generation SNP map of the mouse. We have also developed a multiplex genotyping procedure by which a genome scan can be performed with only six genotyping reactions per animal.

Animals↗