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The potential of using compact discs as high throughput screening platforms for DNA microarraying is discussed and applied to discriminate genetic variations of Plum pox virus.
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There is growing evidence that a map of dense single-nucleotide polymorphisms (SNPs) can outperform a map of sparse microsatellites for linkage analysis. There is also argument as to whether a clustered SNP map can outperform an evenly spaced SNP map. Using Genetic Analysis Workshop 14 simulated data, we compared for linkage analysis microsatellites, SNPs, and composite markers derived from SNPs. We encoded the composite markers in a two-step approach, in which the maximum identity length contrast method was employed to allow for recombination between loci. A SNP map 2.3 times as dense as a microsatellite map (approximately 2.9 cM compared to approximately 6.7 cM apart) provided slightly less information content (approximately 0.83 compared to approximately 0.89). Most inheritance information could be extracted when the SNPs were spaced < 1 cM apart. Comparing the linkage results on using SNPs or composite markers derived from them based on both 3 cM and 0.3 cM resolution maps, we showed that the inter-SNP distance should be kept small (< 1 cM), and that for multipoint linkage analysis the original markers and the derived composite markers had similar power; but for single point linkage analysis the resulting composite markers lead to more power. Considering all factors, such as information content, flexibility of analysis method, map errors, and genotyping errors, a map of clustered SNPs can be an efficient design for a genome-wide linkage scan.
The author proposes a method to test the genetic relation between two individuals using a panel of SNPs. The method does not require information about the allele frequencies, and as such it can be used to test any pair of individuals from any population(s).
An efficient strategy to develop a dense set of single-nucleotide polymorphism (SNP) markers is to take advantage of the human genome sequencing effort currently under way. Our approach is based on the fact that bacterial artificial chromosomes (BACs) and P1-based artificial chromosomes (PACs) used in long-range sequencing projects come from diploid libraries. If the overlapping clones sequenced are from different lineages, one is comparing the sequences from 2 homologous chromosomes in the overlapping region. We have analyzed in detail every SNP identified while sequencing three sets of overlapping clones found on chromosome 5p15.2, 7q21-7q22, and 13q12-13q13. In the 200.6 kb of DNA sequence analyzed in these overlaps, 153 SNPs were identified. Computer analysis for repetitive elements and suitability for STS development yielded 44 STSs containing 68 SNPs for further study. All 68 SNPs were confirmed to be present in at least one of the three (Caucasian, African-American, Hispanic) populations studied. Furthermore, 42 of the SNPs tested (62%) were informative in at least one population, 32 (47%) were informative in two or more populations, and 23 (34%) were informative in all three populations. These results clearly indicate that developing SNP markers from overlapping genomic sequence is highly efficient and cost effective, requiring only the two simple steps of developing STSs around the known SNPs and characterizing them in the appropriate populations.
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Single nucleotide polymorphisms (SNPs) are extensively used in case-control studies of practically all cancer types. They are used for the identification of inherited cancer susceptibility genes and those that may interact with environmental factors. However, being genetic markers, they are applicable only on heritable conditions, which is often a neglected fact. Based on the data in the nationwide Swedish Family-Cancer Database, we review familial risks for all main cancers and discuss the evidence for a heritable component in cancer. The available evidence is not conclusive but it is consistent in pointing to a minor heritable etiology in cancer, which will hamper the success of SNP-based association studies. Empirical familial risks should be used as guidance for the planning of SNP studies. We provide calculations for the assessment of familial risks for assumed allele frequencies and gene effects (odds ratios) for different modes of inheritance. Based on these data, we discuss the gene effects that could account for the unexplained proportion of familial breast and lung cancer. As a conclusion, we are concerned about the indiscriminate use of a genetic tool to cancers, which are mainly environmental in origin. We consider the likelihood of a successful application of SNPs in gene-environment studies small, unless established environmental risk factors are tested on proven candidate genes.
Five novel single nucleotide polymorphisms (SNPs) were found in the EPHX1 gene from 96 Japanese epileptic patients. The detected SNPs were as follows: 1) SNP, MPJ6_EX1009; GENE NAME, EPHX1 ACCESSION NUMBER, NT_004525.12; LENGTH, 25 bases; 5'-CCTCACTTCAGTG/ACTGGGCTTTGCC-3'. 2) SNP, MPJ6_EX1013; GENE NAME, EPHX1; ACCESSION NUMBER, NT_004525.12; LENGTH, 25 bases; 5'-TCCGCAGCCAGGG/CAGGACGACAGCA-3'. 3) SNP, MPJ6_EX1026; GENE NAME, EPHX1; ACCESSION NUMBER, NT_004525.12; LENGTH, 25 bases; 5'-GTTCTCCCTGGAC/TGACCTGCTGACC-3'. 4) SNP, MPJ6_EX1028; GENE NAME, EPHX1; ACCESSION NUMBER, NT_004525.12; LENGTH, 25 bases; 5'-AGGCAGGGGGACG/AGCCAGTCTTGGG-3'. 5) SNP, MPJ6_EX1030; GENE NAME, EPHX1; ACCESSION NUMBER, NT_004525.12; LENGTH, 25 bases; 5'-TGAAAAGTGGGTG/AAGGTTCAAGTAC-3'. The frequencies were 0.016 for MPJ6_EX1028 (IVS8+54G>A) and 0.005 for the other SNPs. The SNP MPJ6_EX1013 (130G>C) results in an amino acid alteration (E44Q). The other three SNPs in the coding region, MPJ6_EX1009 (30G>A), MPJ6_EX1026 (1056C>T), and MPJ6_EX1030 (1239G>A) result in synonymous changes (V10V, D352D, and V413V, respectively).
Eight novel single nucleotide polymorphisms (SNPs) were found in the gene encoding the ATP-binding cassette transporter, ABCG2/BCRP, from 60 Japanese individuals administered the anti-cancer drug irinotecan. The detected SNPs were as follows: 1) SNP, MPJ6_AG2005 (IVS2-93T>C); Gene Name, ABCG2; Accession Number, NT_006204; 2) SNP, MPJ6_AG2007 (IVS3+71_72 insT); Gene Name, ABCG2; Accession Number, NT_006204; 3) SNP, MPJ6_AG2012 (IVS6-204C>T); Gene Name, ABCG2; Accession Number, NT_006204; 4) SNP, MPJ6_AG2015 (at nucleotide 1098G>A (exon 9) from the A of the translation initiation codon); Gene Name, ABCG2; Accession Number, NT_006204; 5) SNP, MPJ6_AG2017 (1291T>C (exon 11)); Gene Name, ABCG2; Accession Number, NT_006204; 6) SNP, MPJ6_AG2019 (IVS11-135G>A); Gene Name, ABCG2; Accession Number, NT_006204; 7) SNP, MPJ6_AG2020 (1465T>C (exon 12)); Gene Name, ABCG2; Accession Number, NT_006204; 8) SNP, MPJ6_AG2023 (IVS13+65T>G); Gene Name, ABCG2; Accession Number, NT_006204.MPJ6_AG2015 was a synonymous SNP (E366E). MPJ6_AG2017 and MPJ6_AG2020 resulted in amino acid alterations, F431L and F489L, respectively.
The ability of fluorescence resonance energy transfer, molecular-beacon, and TaqMan probes to detect single nucleotide polymorphism (SNP) in the presence of a wild-type allele was evaluated using drug resistance-conferring SNPs in mixed Mycobacterium tuberculosis DNA. It was found that both the absolute quantity and the ratio of alleles determine the detection sensitivity of the probe systems.
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Variations in the human DNA sequence between individuals can be an indication of predisposition to disease, affect the response to drug treatment, or more directly, be the fingerprint of an inheritable trait or defect. Significant efforts at improving the speed, accuracy and sensitivity of detecting such polymorphisms have led to the development of a number of powerful approaches. Sequence-specific base pairing between the strands of DNA, according to the Watson-Crick model, forms the basis of many detection systems. The crucial specificity of this hybridization reaction in discriminating between single base variations may be enhanced by using synthetic peptide nucleic acids as probes. The remarkable properties of these DNA analogs have been successfully exploited in several ways and the use of peptide nucleic acids has become an accepted addition to the collection of procedures available for genetic analysis.
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