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At least 127 records · Page 7Linked to original sources
PubMed2005

Ethnic differences in allele frequency of autoimmune-disease-associated SNPs.

Several multiple, large-scale, genetic studies on autoimmune-disease-associated SNPs have been reported recently: peptidylarginine deiminase type 4 (PADI4) in rheumatoid arthritis (RA); solute carrier family 22 members 4 and 5 (SLC22A4 and 5) in RA and Crohn's disease (CD); programmed cell death 1 (PDCD1) in systemic lupus erythematosus (SLE), type 1 diabetes mellitus (T1D), and RA; and protein tyrosine phosphatase nonreceptor type 22 (PTPN22) in T1D, RA, and SLE. Because these reports on association were not always evaluated in multiple ethnic groups and because ethnic difference in allele frequency of the variants has been also reported, we investigated allele frequencies of nine SNPs in four autoimmune-disease-associated loci in Caucasian, African-descent, and Japanese populations. Although SNPs in PADI4 had similar allele frequency among three groups [maximal difference 11%; (P >0.05)], the other three loci revealed statistically significant allele frequency differences (maximal difference 39% (P <0.00001), 13% (P <0.00001), and 8% (P <0.00001) in SLC22A4, PDCD1, and PTPN22, respectively). Of note, three SNPs in the three loci that had allele frequency more than 8% in the Caucasian population were either not polymorphic at all or extremely rare in the Japanese population. Our data suggest that ethnic variations of polymorphisms should be evaluated in detail, and differences should be incorporated into investigations of susceptibility variants for common diseases.

Antigens, CD↗
PubMed2006

Detection of novel Y SNPs provides further insights into Y chromosomal variation in Pakistan.

Biallelic polymorphisms on the Y chromosome have been extensively used to study the history, evolution, and migration patterns of world populations. In this study we screened 8.5 kb of Y chromosomal DNA for single nucleotide polymorphisms (SNPs) in a panel of 95 male individuals belonging to different haplogroups. Five novel Y-SNPs (PK1-5) were identified, four in the Pakistani sample and one in an African sample. The ancestral state of each SNP was determined in two chimpanzee samples and a variety of Pakistani ethnic groups. In addition to these novel Y-SNPs 77 additional markers on the Y chromosome were analyzed to place the SNPs on the phylogenetic tree of Y chromosomal lineages and to further investigate extant human Y chromosomal variation within Pakistan. BATWING analysis gave an estimate of between 2,500 and 7,300 YBP for population expansion in Pakistan which coincides with the period of the Indus Valley civilizations.

Alleles↗
PubMed2000

Genomic structure and multiple single-nucleotide polymorphisms (SNPs) of the thiopurine S-methyltransferase (TPMT) gene.

Thiopurine S-methyltransferase (TPMT) catalyzes the S-methylation of drugs such as azathiopurine, 6-mercaptopurine, and 6-thioguanine, which are widely prescribed for immunosuppressive or cytotoxic applications. We report here the entire genomic structure of the TPMT gene and the presence of 30 single-nucleotide polymorphisms (SNPs) within that structure. The gene spans a genomic region about 27kb long and consists of nine exons. By screening its entire genomic sequence for SNPs in 48 Japanese chromosomes by direct DNA sequencing, we detected 1 SNP in the 870-bp promoter region, 26 SNPs in introns, and 3 SNPs in the 3' untranslated region (3'UTR) for investigating correlations between TPMT genotypes and the side-effects caused by thiopurine drugs.

Humans↗
PubMed2001

Catalog of 320 single nucleotide polymorphisms (SNPs) in 20 quinone oxidoreductase and sulfotransferase genes.

Single nucleotide polymorphisms (SNPs) in genes encoding drug-metabolizing enzymes, transporters, receptors, and other drug targets have been widely implicated as contributors to differences among individuals as regards the efficacy and toxicity of many medications, as well as the susceptibility to complex diseases. By combining the polymerase chain reaction (PCR) technique with direct sequencing, we screened genomic DNAs from 48 Japanese volunteers for SNPs in genes encoding three quinone oxidoreductases (NQO1, NQO2, and PIG3) and 17 sulfotransferases (SULT1A1, SULT1A2, SULT1A3, SULT1C1, SULT1C2, SULT2A1, SULT2B1, ST1B2, TPST1, TPST2, SULTX3, STE, CST, HNK-1 ST, CHST2, CHST4, and CHST5). In all, we identified 320 SNPs from these 20 loci: 22 within coding elements, 21 in 5' flanking regions, 10 in 5' untranslated regions, 223 in introns, 19 in 3' untranslated regions, and 25 in 3' flanking regions. The ratio of transitions to transversions was approximately 2.3 to 1. Of the 22 coding SNPs, 6 were nonsynonymous substitutions that resulted in amino-acid substitutions. The high-density SNP maps we constructed from this data for each of the quinone oxidoreductases and sulfotransferases examined here should provide useful information for investigations designed to detect association(s) between genetic variations and common diseases or responsiveness to drug therapy.

Base Sequence↗
PubMed2025

Construction of a Core Germplasm and Identification of Candidate SNPs Associated with Growth Performance of Epinephelus tukula by Whole-Genome Resequencing.

Epinephelus tukula is an economically important aquaculture animal, and a major parent in grouper crossbreeding. To better preserve and exploit E. tukula germplasm resources, a core collection (containing 34 individuals derived from 10 genetic groups) was first constructed based on phenotypic growth traits and whole-genome resequencing (WGS) data. The phenotypic traits of the individuals within the core collection were not significantly different from those in the original collection, suggesting effective representativeness of the core collection. Additionally, we performed genome-wide association study (GWAS) of E. tukula to identify candidate single nucleotide polymorphisms (SNPs) and genes associated with growth traits, to facilitate the improvements in the growth performance of this species. Twenty-six significant SNPs were identified, scattered among multiple chromosomes. Five SNPs were confirmed to be correlated with growth in another new group of 101 individuals. Based on the annotation results, these five SNPs were located in CCDC102A, NTRK2, CTSL, OTOF, and nestin, and were involved in cell development, differentiation and proliferation, glycolytic metabolism, neurological development, and myoblast differentiation. Our findings not only provide an effective basis for the conservation and utilization of E. tukula germplasm resources, but also promote the development of marker-assisted selection of E. tukula.

Polymorphism, Single Nucleotide↗
PubMed2006

Lack of association of 5 SNPs in the vicinity of the insulin-degrading enzyme (IDE) gene with late-onset Alzheimer's disease.

Insulin-degrading enzyme (IDE) is a strong biological and positional candidate gene for Alzheimer's disease (AD). Previously some studies have examined the role of common variation in the IDE gene with AD risk but the results have been inconsistent. In this study we examined the role of 5 SNPs that define a linkage disequilibrium (LD) block spanning 276kb around IDE. Our sample comprised up to 1012 late-onset AD (LOAD) cases and 771 older white controls. In addition, we also examined the association of these SNPs with quantitative measures of AD progression, namely age-at-onset (AAO), disease duration and Mini-Mental State Examination (MMSE) score. None of the SNPs examined in this fairly large case-control sample revealed significant association with AD risk. These SNPs also showed no significant association with AD quantitative traits.

Aged↗
PubMed1999

The essence of SNPs.

Single nucleotide polymorphisms (SNPs) are an abundant form of genome variation, distinguished from rare variations by a requirement for the least abundant allele to have a frequency of 1% or more. A wide range of genetics disciplines stand to benefit greatly from the study and use of SNPs. The recent surge of interest in SNPs stems from, and continues to depend upon, the merging and coincident maturation of several research areas, i.e. (i) large-scale genome analysis and related technologies, (ii) bio-informatics and computing, (iii) genetic analysis of simple and complex disease states, and (iv) global human population genetics. These fields will now be propelled forward, often into uncharted territories, by ongoing discovery efforts that promise to yield hundreds of thousands of human SNPs in the next few years. Major questions are now being asked, experimentally, theoretically and ethically, about the most effective ways to unlock the full potential of the upcoming SNP revolution.

DNA↗
PubMed2004

Characterization of two SNPs (single nucleotide polymorphisms) in the porcine INSL3 gene and their exclusion as a common genetic basis of hernia inguinalis in pigs.

The INSL3 gene encoding Leydig cell insulin-like hormone is an important candidate gene for congenital disorders of the reproductive tract in pigs. Comparative sequencing using phenotypically hernia inguinalis affected and unaffected animals showed that the porcine gene is remarkably conserved. No polymorphisms were found in the two exons or in the intron. Two single-nucleotide polymorphisms (SNPs) were detected in the promoter region (G-224A and A-164C) of the sequenced pigs and fast screening methods were developed for large scale studies. Some significant breed differences exist for allele frequencies at both SNPs in the INSL3 gene. Screening of the two SNPs in a population of hernia inguinalis affected full and half sib piglets (n = 223) revealed that the SNPs can be excluded as a common genetic basis for this congenital disorder in this pedigree.

Animals↗
PubMed2005

High-resolution whole-organ mapping with SNPs and its significance to early events of carcinogenesis.

We attempted to identify deleted segments in two model tumor suppressor gene loci on chromosomes 13q14 and 17p13 that were associated with clonal expansion of in situ bladder preneoplasia using single nucleotide polymorphisms (SNPs)-based whole-organ histologic and genetic mapping. For mapping with SNPs, the sequence-based maps spanning approximately 27 and 5 Mb centered around RB1 and p53, respectively, were assembled. The integrated gene and SNP maps of the regions were used to select 661 and 960 SNPs, which were genotyped by pyrosequencing. Genotyping of SNPs was performed on DNA samples corresponding to histologic maps of the entire bladder mucosa in human cystectomy specimens with invasive urothelial carcinoma. By using this approach, we have identified deleted regions associated with clonal expansion of intraurothelial neoplasia; which ranged from 0.001 to 4.3 Mb (average 0.67 Mb) and formed clusters of discontinuous deleted segments. The high resolution of such maps is a prerequisite for future positional targeting of genes involved in early phases of bladder neoplasia. This approach also permits analysis of the overall genomic landscape of the involved region and discloses that a unique composition of noncoding DNA characterized by a high concentration of repetitive sequences may predispose to deletions.

Carcinoma in Situ↗
PubMed2002

Chromosome-wide SNPs reveal an ancient origin for Plasmodium falciparum.

The Malaria's Eve hypothesis, proposing a severe recent population bottleneck (about 3,000-5,000 years ago) of the human malaria parasite Plasmodium falciparum, has prompted a debate about the origin and evolution of the parasite. The hypothesis implies that the parasite population is relatively homogeneous, favouring malaria control measures. Other studies, however, suggested an ancient origin and large effective population size. To test the hypothesis, we analysed single nucleotide polymorphisms (SNPs) from 204 genes on chromosome 3 of P. falciparum. We have identified 403 polymorphic sites, including 238 SNPs and 165 microsatellites, from five parasite clones, establishing chromosome-wide haplotypes and a dense map with one polymorphic marker per approximately 2.3 kilobases. On the basis of synonymous SNPs and non-coding SNPs, we estimate the time to the most recent common ancestor to be approximately 100,000-180,000 years, significantly older than the proposed bottleneck. Our estimated divergence time coincides approximately with the start of human population expansion, and is consistent with a genetically complex organism able to evade host immunity and other antimalarial efforts.

Animals↗
PubMed2005

Common deletions and SNPs are in linkage disequilibrium in the human genome.

Humans show great variation in phenotypic traits such as height, eye color and susceptibility to disease. Genomic DNA sequence differences among individuals are responsible for the inherited components of these complex traits. Reports suggest that intermediate and large-scale DNA copy number and structural variations are prevalent enough to be an important source of genetic variation between individuals. Because association studies to identify genomic loci associated with particular phenotypic traits have focused primarily on genotyping SNPs, it is important to determine whether common structural polymorphisms are in linkage disequilibrium with common SNPs, and thus can be assessed indirectly in SNP-based studies. Here we examine 100 deletion polymorphisms ranging from 70 bp to 7 kb. We show that common deletions and SNPs ascertained with similar criteria have essentially the same distribution of linkage disequilibrium with surrounding SNPs, indicating that these polymorphisms may share evolutionary history and that most deletion polymorphisms are effectively assayed by proxy in SNP-based association studies.

Gene Frequency↗
PubMed2002

Novel SNPs in a candidate gene, CRTH2, for allergic diseases.

Sequencing analyses of genomic DNA samples from a Chinese population identified four single-nucleotide polymorphisms (SNPs) of the CRTH2 gene, encoding a chemoattractant receptor predominantly expressed on Th2 cells and a receptor for prostaglandin D2 (PGD2). Two coding-region SNPs with a T to G and a C to A substitutions, resulting in codon changes from Phe to Val and Pro to Thr, respectively. Two additional SNPs were discovered in the 3' untranslated region (3'-UTR). These newly identified SNPs will be useful for further functional study of variant CRTH2 gene, and for genetic studies of asthma and other immunologic diseases.

Base Sequence↗
PubMed2003

A double-screening method to identify reliable candidate non-synonymous SNPs from chicken EST data.

Discovery of non-synonymous single nucleotide polymorphisms (nsSNP), which cause amino acid substitutions, is important because they are more likely to alter protein function than synonymous SNPs (sSNP) or those SNPs that do not result in amino acid changes. By changing the coding sequences, nsSNP may play a role in heritable differences between individual organisms. In the chicken and many other vertebrates, the main obstacle for identifying nsSNP is that there is insufficient protein and mRNA sequence information for self-species referencing and thus, determination of the correct reading frame for expressed sequence tags (ESTs) is difficult. Therefore, in order to estimate the correct reading frame at nsSNP in chicken ESTs, a double-screening approach was designed using self- or cross-species protein referencing, in addition to the ESTScan coding region estimation programme. Starting with 23 427 chicken ESTs, 1210 potential SNPs were discovered using a phred/phrap/polyphred/consed pipeline process and among these, 108 candidate nsSNP were identified with the double screening method. A searchable SNP database (chicksnps) for the candidate chicken SNPs, including both nsSNPs and sSNPs is available at http://chicksnps.afs.udel.edu. The chicken SNP data described in this paper have been submitted to the data base SNP under National Center for Biotechnology Information assay ID ss4387050-ss4388259.

Animals↗
PubMed2004

Detection and characterization of SNPs useful for identity control and parentage testing in major European dairy breeds.

We propose the use of single nucleotide polymorphisms (SNPs) instead of polymorphic microsatellite markers for individual identification and parentage control in cattle. To this end, we present an initial set of 37 SNP markers together with a gender-specific SNP for identity control and parentage testing in the Holstein, Fleckvieh and Braunvieh breeds. To obtain suitable SNPs, a total of 91.13 kb of random genomic DNA was screened yielding 531 SNPs. These, and 43 previously identified SNPs, were subjected to the following selection criteria: (1) the frequency of the minor allele must be larger than 0.1 in at least two of the three examined breeds, and (2) markers should not be linked closely. Allele frequencies were estimated by analysing sequencing traces of pooled DNA or by genotyping individual DNA samples. The selected SNP loci were physically mapped by radiation hybrid mapping or by fluorescence in situ hybridization, and tested against the neutral mutation hypothesis. The presented marker set theoretically allows probabilities of identity less than 10(-13) for individual verification and exclusion powers exceeding 99.99% for parentage testing.

Agriculture↗
PubMed2006

Associations between milk performance traits in Holstein cows and 16 candidate SNPs identified by arrayed primer extension (APEX) microarray.

An oligonucleotide microarray-which allows for parallel genotyping of many SNPs in genes involved in cow milk protein biosynthesis-was used to identify which of the 16 candidate SNPs are associated with milk performance traits in Holstein cows. Four hundred cows were genotyped by the developed and validated microarray. Significant associations were found between four single SNPs, namely DGAT1 (acyloCoA:diacylglycerol acyltransferase), LTF (lactoferrin), CSN3 (kappa-casein), and GHR (growth hormone receptor) and with fat and protein yield and percentage. Many significant associations between combined genotypes (two SNPs) and milk performance traits were found. The associations between the combined genotypes DGAT1/LTF and DGAT1/LEPTIN analyzed traits are presented as examples. The microarray based on APEX (Arrayed Primer Extension) is a fast and reliable method for multiple SNP analysis of potential application in marker-assisted selection. After further development, the chip may prospectively be used for dairy cattle paternity analysis and evolutionary studies.

Animals↗
PubMed2003

Selection and evaluation of tagging SNPs in the neuronal-sodium-channel gene SCN1A: implications for linkage-disequilibrium gene mapping.

Association studies are widely seen as the most promising approach for finding polymorphisms that influence genetically complex traits, such as common diseases and responses to their treatment. Considerable interest has therefore recently focused on the development of methods that efficiently screen genomic regions or whole genomes for gene variants associated with complex phenotypes. One key element in this search is the use of linkage disequilibrium to gain maximal information from typing a selected subset of highly informative single-nucleotide polymorphism (SNP) markers, now often called "tagging SNPs" (tSNPs). Probably the most common approach to linkage-disequilibrium gene mapping involves a three-step program: (1) characterization of the haplotype structure in candidate genes or genomic regions of interest, (2) identification of tSNPs sufficient to represent the most common haplotypes, and (3) typing of tSNPs in clinical material. Early definitions of tSNPs focused on the amount of haplotype diversity that they explained. To select tSNPs that would have maximal power in a genetic association study, however, we have developed optimization criteria based on the r2 measure of association and have compared these with other criteria based on the haplotype diversity. To evaluate the full program and to assess how well the selected tags are likely to perform, we have determined the haplotype structure and have assessed tSNPs in the SCN1A gene, an important candidate gene for sporadic epilepsy. We find that as few as four tSNPs are predicted to maintain a consistently high r2 value with all other common SNPs in the gene, indicating that the tags could be used in an association study with only a modest reduction in power relative to direct assays of all common SNPs. This implies that very large case-control studies can be screened for variation in hundreds of candidate genes with manageable experimental effort, once tSNPs are identified. However, our results also show that tSNPs identified in one population may not necessarily perform well in another, indicating that the preliminary study to identify tSNPs and the later case-control study should be performed in the same population. Our results also indicate that tSNPs will not easily identify discrepant SNPs, which lie on importantly discriminating but apparently short genealogical branches. This could significantly complicate tagging approaches for phenotypes influenced by variants that have experienced positive selection.

Adult↗
PubMed2004

Finding haplotype tagging SNPs by use of principal components analysis.

The immense volume and rapid growth of human genomic data, especially single nucleotide polymorphisms (SNPs), present special challenges for both biomedical researchers and automatic algorithms. One such challenge is to select an optimal subset of SNPs, commonly referred as "haplotype tagging SNPs" (htSNPs), to capture most of the haplotype diversity of each haplotype block or gene-specific region. This information-reduction process facilitates cost-effective genotyping and, subsequently, genotype-phenotype association studies. It also has implications for assessing the risk of identifying research subjects on the basis of SNP information deposited in public domain databases. We have investigated methods for selecting htSNPs by use of principal components analysis (PCA). These methods first identify eigenSNPs and then map them to actual SNPs. We evaluated two mapping strategies, greedy discard and varimax rotation, by assessing the ability of the selected htSNPs to reconstruct genotypes of non-htSNPs. We also compared these methods with two other htSNP finders, one of which is PCA based. We applied these methods to three experimental data sets and found that the PCA-based methods tend to select the smallest set of htSNPs to achieve a 90% reconstruction precision.

Chromosome Mapping↗
PubMed2005

Inference of missing SNPs and information quantity measurements for haplotype blocks.

MOTIVATION: Missing data in genotyping single nucleotide polymorphism (SNP) spots are common. High-throughput genotyping methods usually have a high rate of missing data. For example, the published human chromosome 21 data by Patil et al. contains about 20% missing SNPs. Inferring missing SNPs using the haplotype block structure is promising but difficult because the haplotype block boundaries are not well defined. Here we propose a global algorithm to overcome this difficulty. RESULTS: First, we propose to use entropy as a measure of haplotype diversity. We show that the entropy measure combined with a dynamic programming algorithm produces better haplotype block partitions than other measures. Second, based on the entropy measure, we propose a two-step iterative partition-inference algorithm for the inference of missing SNPs. At the first step, we apply the dynamic programming algorithm to partition haplotypes into blocks. At the second step, we use an iterative process similar to the expectation-maximization algorithm to infer missing SNPs in each haplotype block so as to minimize the block entropy. The algorithm iterates these two steps until the total block entropy is minimized. We test our algorithm in several experimental data sets. The results show that the global approach significantly improves the accuracy of the inference. AVAILABILITY: Upon request.

Algorithms↗