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Polymorphisms in the ABCC2 (cMOAT/MRP2) gene found in 72 established cell lines derived from Japanese individuals: an association between single nucleotide polymorphisms in the 5'-untranslated region and exon 28.

We found nucleotide variability in the 5'-upstream region and exonic sequences of a gene-encoding canalicular multispecific organic anion transporter/multidrug resistance-associated protein 2 (cMOAT/MRP2) by polymerase chain reaction-based sequencing using genomic DNA from 72 established cell lines derived from 72 Japanese individuals. Four single nucleotide polymorphisms (SNPs) were found in the 5'-untranslational region and 21 in the exonic regions. Of them, 14 were nonsynonymous SNPs. One deletion of seven consecutive adenines resulting in a frameshift variant was also found. Four SNPs, c-24t, g1249a (V417I), c2366t (S789F), and c3972t (I1324I), were the same as those recently reported. A strong association was found between c-24t (5'-untranslated region) and c3972t (exon 28), with the promoter activity of the former worth being compared.

5' Untranslated Regions↗

In silico model-driven assessment of the effects of single nucleotide polymorphisms (SNPs) on human red blood cell metabolism.

The completion of the human genome project and the construction of single nucleotide polymorphism (SNP) maps have lead to significant efforts to find SNPs that can be linked to pathophysiology. In silico models of complete biochemical reaction networks relate a cell's individual reactions to the function of the entire network. Sequence variations can in turn be related to kinetic properties of individual enzymes, thus allowing an in silico model-driven assessment of the effects of defined SNPs on overall cellular functions. This process is applied to defined SNPs in two key enzymes of human red blood cell metabolism: glucose-6-phosphate dehydrogenase and pyruvate kinase. The results demonstrate the utility of in silico models in providing insight into differences between red cell function in patients with chronic and nonchronic anemia. In silico models of complex cellular processes are thus likely to aid in defining and understanding key SNPs in human pathophysiology.

Computational Biology↗

Single nucleotide polymorphism genotyping using allele-specific PCR and fluorescence melting curves.

We present a PCR method for identification of single nucleotide polymorphisms (SNPs), using allele-specific primers designed for selective amplification of each allele. Matching the SNP at the 3' end of the forward or reverse primer, and additionally incorporating a 3' mismatch to prevent amplification of the incorrect allele, results in selectivity of the allele-specific primers. DNA melting analysis with fluorescent SYBR Green affords detection of the PCR products. By incorporating a GC-rich sequence into one of the two allele-specific primers to increase the melting temperature, both alleles can be measured simultaneously at their respective melting temperatures. Applying the DNA melting analysis to SNPs in ApoE and ABCA1 yielded results identical to those obtained with other genotyping methods. This provides a cost-effective, high-throughput method for amplification and scoring of SNPs.

ATP Binding Cassette Transporter 1↗

New explicit expressions for relative frequencies of single-nucleotide polymorphisms with application to statistical inference on population growth.

We present new methodology for calculating sampling distributions of single-nucleotide polymorphism (SNP) frequencies in populations with time-varying size. Our approach is based on deriving analytical expressions for frequencies of SNPs. Analytical expressions allow for computations that are faster and more accurate than Monte Carlo simulations. In contrast to other articles showing analytical formulas for frequencies of SNPs, we derive expressions that contain coefficients that do not explode when the genealogy size increases. We also provide analytical formulas to describe the way in which the ascertainment procedure modifies SNP distributions. Using our methods, we study the power to test the hypothesis of exponential population expansion vs. the hypothesis of evolution with constant population size. We also analyze some of the available SNP data and we compare our results of demographic parameters estimation to those obtained in previous studies in population genetics. The analyzed data seem consistent with the hypothesis of past population growth of modern humans. The analysis of the data also shows a very strong sensitivity of estimated demographic parameters to changes of the model of the ascertainment procedure.

Data Interpretation, Statistical↗

Single nucleotide polymorphism in the low-density lipoprotein receptor is associated with a threefold risk of stroke. A case-control and prospective study.

BACKGROUND: More than 600 different, but rare, mutations in the low-density lipoprotein (LDL) receptor have been identified as the cause of familial hypercholesterolaemia. In contrast, only a single common amino acid-changing polymorphism (A370T) has been reported in this gene. The association of this polymorphism with variations in lipid levels is at present unclear. METHODS: We obtained genotypes for 9238 individuals from The Copenhagen City Heart Study, of which 465 had stroke and 1019 had ischaemic heart disease. RESULTS: In this cohort from the Danish general population, 90.2% (n = 8,332), 9.5% (n = 875), and 0.3% (n = 31) were 370A homozygotes, A370T heterozygotes, and 370T homozygotes, respectively. The incidences of stroke in 370A homozygotes, A370T heterozygotes, and 370T homozygotes were 28, 26, and 100 per 10,000 person-years, respectively (370T homozygotes vs. 370A homozygotes: log-rank, P = 0.002). The relative risk and odds ratio for stroke in 370T homozygotes vs. 370A homozygotes were 3.6 (95% confidence interval, 1.5-8.8) and 3.6 (95% confidence interval, 1.3-9.8) in prospective and cross-sectional studies, respectively. Furthermore, average age at onset of stroke in 370T homozygotes tended to be lower than in heterozygotes and 370A homozygotes combined (59 vs. 66 years, P = 0.08). In contrast, neither levels of cholesterol, LDL cholesterol, apolipoprotein B, or triglycerides, nor risk of ischaemic heart disease was associated with genotype. CONCLUSION: This is the first prospective study to suggest an association between a polymorphism in the LDL receptor and stroke. Because this association is independent of lipid levels, our results point toward a hitherto unknown function of this receptor in the brain.

Adult↗

Mining for single nucleotide polymorphisms and insertions/deletions in maize expressed sequence tag data.

We have developed a computer based method to identify candidate single nucleotide polymorphisms (SNPs) and small insertions/deletions from expressed sequence tag data. Using a redundancy-based approach, valid SNPs are distinguished from erroneous sequence by their representation multiple times in an alignment of sequence reads. A second measure of validity was also calculated based on the cosegregation of the SNP pattern between multiple SNP loci in an alignment. The utility of this method was demonstrated by applying it to 102,551 maize (Zea mays) expressed sequence tag sequences. A total of 14,832 candidate polymorphisms were identified with an SNP redundancy score of two or greater. Segregation of these SNPs with haplotype indicates that candidate SNPs with high redundancy and cosegregation confidence scores are likely to represent true SNPs. This was confirmed by validation of 264 candidate SNPs from 27 loci, with a range of redundancy and cosegregation scores, in four inbred maize lines. The SNP transition/transversion ratio and insertion/deletion size frequencies correspond to those observed by direct sequencing methods of SNP discovery and suggest that the majority of predicted SNPs and insertion/deletions identified using this approach represent true genetic variation in maize.

Base Sequence↗

The effect of single-nucleotide polymorphism marker selection on patterns of haplotype blocks and haplotype frequency estimates.

The definition of haplotype blocks of single-nucleotide polymorphisms (SNPs) has been proposed so that the haplotypes can be used as markers in association studies and to efficiently describe human genetic variation. The International Haplotype Map (HapMap) project to construct a comprehensive catalog of haplotypic variation in humans is underway. However, a number of factors have already been shown to influence the definition of blocks, including the population studied and the sample SNP density. Here, we examine the effect that marker selection has on the definition of blocks and the pattern of haplotypes by using comparable but complementary SNP sets and a number of block definition methods in various genomic regions and populations that were provided by the Encyclopedia of DNA Elements (ENCODE) project. We find that the chosen SNP set has a profound effect on the block-covered sequence and block borders, even at high marker densities. Our results question the very concept of discrete haplotype blocks and the possibility of generalizing block findings from the HapMap project. We comparatively apply the block-free tagging-SNP approach and discuss both the haplotype approach and the tagging-SNP approach as means to efficiently catalog genetic variation.

Algorithms↗

High-throughput genotyping with single nucleotide polymorphisms.

To make large-scale association studies a reality, automated high-throughput methods for genotyping with single-nucleotide polymorphisms (SNPs) are needed. We describe PCR conditions that permit the use of the TaqMan or 5' nuclease allelic discrimination assay for typing large numbers of individuals with any SNP and computational methods that allow genotypes to be assigned automatically. To demonstrate the utility of these methods, we typed >1600 individuals for a G-to-T transversion that results in a glutamate-to-aspartate substitution at position 298 in the endothelial nitric oxide synthase gene, and a G/C polymorphism (newly identified in our laboratory) in intron 8 of the 11-beta hydroxylase gene. The genotyping method is accurate-we estimate an error rate of fewer than 1 in 2000 genotypes, rapid-with five 96-well PCR machines, one fluorescent reader, and no automated pipetting, over one thousand genotypes can be generated by one person in one day, and flexible-a new SNP can be tested for association in less than one week. Indeed, large-scale genotyping has been accomplished for 23 other SNPs in 13 different genes using this method. In addition, we identified three "pseudo-SNPs" (WIAF1161, WIAF2566, and WIAF335) that are probably a result of duplication.

Alleles↗

[I. Single nucleotide polymorphism in human genetic analyses].

The new era of human genetic analyses has been began by finishing of The Human Genome Project. Discovery of the almost complete sequence of human DNA showed surprisingly small differences between the genetic materials of randomly chosen people. Genetists pay intensive attention to the very small part of nucleotide sequence - 0.1% - which contains polymorphic changes. The most frequent type of these changes is polymorphism of a single nucleotide (SNP). It makes up about 90% of all molecular differences in human DNA sequence. There are about 3 mln positions in DNA sequence containing SNPs. Polymorphic changes serve as genetic markers and they enable to map genes or to follow their inheritance. Changes of this kind seem also to be the possible cause of the remarkable variety of susceptibility to many common diseases e.g.: diabetes, cancer and cardiovascular disorders. SNPs are also the object of interest of intensively developing scientific domain - pharmacogenetics. Scientists working on this interdisciplinary field - connecting pharmacology and genetics - try to find out the reason of great variety of response to medicines and their side effects in case of patients belonging to the same therapeutical groups. Progress in this kind of research in near future will enable a significant improvement of pharmacological therapy, which will be based on matching the drug to genetically determined traits of patients.

Genetic Markers↗

Linkage disequilibrium across two different single-nucleotide polymorphism genome scans.

Linkage disequilibrium (LD) content was calculated for the Genetic Analysis Workshop 14 Affymetrix and Illumina single-nucleotide polymorphism (SNP) genome scans of the Collaborative Study on the Genetics of Alcoholism samples. Pair-wise LD was measured as both D' and r2 on 505 pedigree founder individuals. The r2 estimates were then used to correct the multipoint identity by descent matrix (MIBD) calculation to account for LD and LOD scores on chromosomes 3 and 18 were calculated for COGA's ttdt3 electrophysiological trait using those MIBDs. Extensive LD was observed throughout both marker sets, and it was higher in Affymetrix's more dense SNP map. However, SNP density did not solely account for Affymetrix's higher LD. MIBD estimation procedures assume linkage equilibrium to construct genotypes of non-genotyped pedigree founder individuals, and dense SNP genotyping maps are likely to contain moderate to high LD between markers. LOD score plots calculated after correction for LD followed the same general pattern as uncorrected ones. Since in our study almost half of the pedigree founders were genotyped, it is possible that LD had a minor impact on the LOD scores. Caution should probably be taken when using high density SNP maps when many non-genotyped founders are present in the study pedigrees.

Female↗

Template-directed dye-terminator incorporation with fluorescence polarization detection for analysis of single nucleotide polymorphisms implicated in sepsis.

Sepsis continues to be a common source of morbidity and mortality in critically ill patients. Single nucleotide polymorphisms (SNPs) present in genes encoding inflammatory mediators have been associated with predisposition and outcome in this syndrome. The use of high throughput SNP analysis in large epidemiological studies is necessary to more fully understand the genetic underpinnings of this disease. We adapted template-directed dye-terminator incorporation with fluorescence polarization detection (TDI-FP) to the analysis of eight SNPs implicated in mediating the sepsis syndrome: TNF-alpha (-308), TNF-alpha (-238), TNF-beta (+250), IL-1beta (+3953), IL-6 (-174), IL-10 (-592), plasminogen activator inhibitor-1 (PAI-1 (-675)), and TLR4 299 (+1032). Optimization of PCR, amplicon purification, and template-directed dye-terminator incorporation reactions were necessary to achieve acceptable performance characteristics for these assays. Sequence validated samples served as controls. Using this method we were able to assign genotype in 99.3% of assays and identified 64 unique genotypes in samples obtained from 90 individuals. TDI-FP is a flexible and robust method of SNP detection that can be optimized in a systematic fashion. This method has potential advantages compared with other high throughput genotyping techniques and appears well suited to clinical situations requiring analysis of large numbers of samples.

Cytokines↗

Detection of mitochondrial single nucleotide polymorphisms using a primer elongation reaction on oligonucleotide microarrays.

We have developed a novel allele-specific primer elongation protocol using a DNA polymerase on oligonucleotide chips. Oligonucleotide primers carrying polymorphic sites at their free 3'end were covalently bound to glass slides. The generation of single-stranded targets of genomic DNA containing single nuclotide polymorphisms (SNPs) to be typed was achieved by an asymmetric PCR reaction or exonuclease treatment of phosphothioate (PTO)-modified PCR products. In the presence of DNA polymerase and all four dNTPs, with Cy3-dUTP replacing dTTP, allele-specific extension of the immobilized primers took place along a stretch of target DNA sequence. The yield of elongated products was increased by repeated reaction cycles. We performed multiplexed assays with many small DNA targets, or used single targets of up to 4.4 kb mitochondrial DNA (mtDNA) sequence to detect multiple SNPs in one reaction. The latter approach greatly simplifies preamplification of SNP-containing regions, thereby providing a framework for typing hundreds of mtDNA polymorphisms.

Alleles↗

Simultaneous detection of CpG methylation and single nucleotide polymorphism by denaturing high performance liquid chromatography.

We report here a novel method to simultaneously detect CpG methylation and single nucleotide polymorphisms (SNPs) using denaturing high performance liquid chromatography (DHPLC). PCR products of bisulfite-modified CpG islands were separated using DHPLC. BstUI digestion and DNA sequencing were used in confirmation studies. Consistent with the BstUI digestion assay, the 294 bp PCR product of the modified hMLH1 promoter showed different retention times between the methylated cell lines (RKO and Cla, 6.7 min) and the unmethylated cell lines (PACM82 and MGC803, 6.2 min). No hMLH1 methylation was observed in 13 primary gastric carcinomas and their matched normal tissues. One hMLH1 SNP was detected in gastric cancer patients, in both cancer and normal tissues. DNA sequencing revealed that the SNP is a G-->A variation at -93 nt of the hMLH1 promoter. A two-peak chromatogram was also obtained in the 605 bp PCR product of the Cox-2 promoter of the AGS, HEK293 and MKN45 cell lines by DHPLC. Another peak corresponding to methylated CpG islands was observed on the chromatogram of the Cox-2-methylated AGS cell line after bisulfite treatment. In conclusion, methylation in homoallelic and heteroallelic CpG islands could be detected rapidly and reliably by bisulfite-DHPLC. A SNP in the target sequence could also be detected at the same time.

Adaptor Proteins, Signal Transducing↗

Population screening of single-nucleotide polymorphisms exemplified by analysis of 8000 alleles.

The authors describe a method in which the population frequency of single-nucleotide polymorphisms (SNPs) can be efficiently detected and their allele frequencies accurately measured. Selected SNPs in TNFbeta, IL-4, and CTLA-4 were used to demonstrate the method. Blood from 4000 individuals was pooled, DNA was extracted, and target sequences were PCR amplified and analyzed by denaturant capillary electrophoresis. Alleles were separated into peaks based on melting properties of the double DNA helix. Frequencies of the different alleles were determined by calculating the area under the peaks. Allele frequencies and Hardy-Weinberg equilibrium estimated from the pooled data were verified by analyzing 7.5% of the samples randomly selected from the blood donor series. The method herein is equally suitable for single-samples and/or pooled-samples analysis of SNPs, in which sample treatment is kept to a minimum. The potential throughput of the method is beyond obtainable numbers of samples.

Alleles↗