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At least 253 records · Page 14Linked to original sources
PubMed2004

Analysis of SNPs in pooled DNA: a decision theoretic model.

Systematic analysis of the genetic background of complex diseases using single nucleotide polymorphisms (SNPs) affords a tremendous amount of genotypings. To reduce the amount of genotypings necessary and hence the overall cost of a case-control study with SNPs, the genotyping is often performed in two stages. In the first, the DNA of all cases and all controls are mixed into two pools and genotyped for each SNP. The frequency of both alleles is determined in both pooled DNA samples. If different frequencies are observed in the pools of cases and controls, genotyping is performed individually in the second stage and analyzed conventionally. However, so far no well-founded algorithm is available to guide the decision on whether to genotype a SNP individually. In this report, an approach is introduced for the decision on individual genotyping based on the results from pooled DNA. The analysis is modeled as a decision process with the specific goal to decide on whether to genotype a specific SNP individually. For a given situation, the resulting decision criteria are aimed to be optimal for those conducting the study. Different loss functions and decision rules are presented. Using Monte-Carlo simulations, we show that for a given situation, the genotyping rates and hence the costs can be reduced remarkably while maintaining acceptable overall error rates.

Case-Control Studies↗
PubMed2004

Genotype prediction using a dense map of SNPs.

The International Haplotype Mapping Project (HapMap) aims to characterize the distribution and extent of linkage disequilibrium (LD) throughout the human genome, thereby facilitating genome-wide association analysis and the search for the genetic determinants of complex diseases. Implicit in the rationale behind the project is the expectation that hidden (unobserved) disease-causing variants will be in significant LD with surrounding typed markers and will thus be amenable to detection using association-based mapping approaches. In order to investigate the validity of this assumption, we examined more than 5,000 SNPs across a 10-MB region of chromosome 20 in a sample of 96 unrelated African-American and 96 unrelated Caucasian individuals. We treated observed loci as surrogates for hidden SNPs by pretending that individuals' genotypes were unknown. We then attempted to predict these genotypes at the surrogate hidden SNP by using information about LD in the region and genotypes at surrounding observed loci. Our method is based on finding the most likely genotype for each individual, given all possible haplotype pairs consistent with observed genotypes for that individual at surrounding loci, and given the frequencies of those haplotypes in an independent sample. Our method performs extremely well in predicting genotypes in areas of high LD. Furthermore, in areas of low LD, our method results in substantial gains in predictive accuracy as compared to pair-wise strategies. These results suggest that pair-wise tests of disease-marker association may be inferior to multipoint methods, which take advantage of the information contained within multi-locus haplotypes.

Black or African American↗
PubMed2006

Comparison of SNP tagging methods using empirical data: association study of 713 SNPs on chromosome 12q14.3-12q24.21 for asthma and total serum IgE in an African Caribbean population.

Few comparison studies have been performed on single nucleotide polymorphism (SNP) tagging methods to examine their consistency and effectiveness in terms of inferences about association with disease. We applied several SNP tagging methods to SNPs on chromosome 12q (n=713) and compared the utility of these methods to detect association for asthma and serum IgE levels among a sample of African Caribbean families from Barbados selected through asthmatic probands. We found that a high level of information regarding association is retained in Clayton's htSNP, Stram's TagSNP, and de Bakker's Tagger. We also found a high degree of consistency between TagSNP and Tagger. Using this set of 713 SNPs on chromosome 12q, our study provides insight towards analytic strategies for future studies of complex traits.

Asthma↗
PubMed2006

The admixture maximum likelihood test: a novel experiment-wise test of association between disease and multiple SNPs.

Disease association studies often test large numbers of markers, and various methods have been proposed to correct for multiple testing. In this paper, we propose an admixture maximum likelihood approach that estimates both the proportion of associated single nucleotide polymorphisms (SNPs) and their typical effect size. We assessed this method and compared it with several previously proposed approaches by simulation. The maximum likelihood approach performed similarly to or better than all other tests across a wide range of alternative hypotheses. The rank truncated product method also had good power, though somewhat inferior to the maximum likelihood approach in most cases. A simple Bonferroni correction performed best only when the number of associated SNPs was small.

Genetic Predisposition to Disease↗
PubMed2002

Novel mutations and SNPs identified in CCR2 using a new comprehensive denaturing gradient gel electrophoresis assay.

A single nucleotide polymorphism (SNP) at codon 64 in the CC chemokine receptor 2 gene (CCR2 V64I) has been associated with a dominant effect of delaying disease progression from human immunodeficiency virus-1 (HIV-1) infection to acquired immunodeficiency syndrome (AIDS). The objective of our study was to design a comprehensive mutation detection assay for the entire coding region of the CCR2A and CCR2B gene transcripts, including all relevant splice site junctions and to identify novel mutations and SNPs within our predominantly African-based population, which could influence an individual's susceptibility to HIV-1 infection and/or progression to AIDS. The mutation detection assay, based on denaturing gradient gel electrophoresis (DGGE), allowed for the complete analysis of five individuals per denaturing gel. Our study cohort consisted of 102 HIV seropositive patients and 144 HIV seronegative controls from the diverse South African population. Application of the CCR2-DGGE assay resulted in the detection of two previously reported CCR2 polymorphisms, namely CCR2 V64I and CCR2 N260N, and 11 novel mutations, including seven SNPs occurring at high allelic frequencies within specific population groups of South Africa. The large number of novel mutations/SNPs identified, using the CCR2-DGGE assay, indicates the importance for comprehensive analysis of all candidate genes in host susceptibility to HIV-1 infection, specifically in the under-studied African-based populations.

Amino Acid Substitution↗
PubMed2005

Statistical geometry approach to the study of functional effects of human nonsynonymous SNPs.

The ability to predict the effect of nonsynonymous SNPs (nsSNPs) on protein function is important for the success of genetic disease association studies. Here we present a statistical geometry approach to nsSNP classification based on Delaunay tessellation, whereby the impact of nsSNPs on protein function is correlated with the change in the four-body statistical potential (DeltaQ) of the protein caused by the amino acid substitution. We observed that the DeltaQ of polymorphic proteins with disease-associated nsSNPs (daSNPs) was on average significantly lower than the DeltaQ of the proteins with neutral SNPs (ntSNPs). Clustering amino acid substitutions into conservative and nonconservative groups, and using a three-letter alphabet based on side-chain polarity showed significantly lower DeltaQ in nonconservative changes to daSNPs and when hydrophobic residues were substituted by charged or by polar residues. We also found that the daSNPs in the protein core caused much lower DeltaQ than surface daSNPs. This approach demonstrates a strong correlation between the computed DeltaQ and SNP classification. Integration of our approach with the existing models will help achieve a more precise recognition of nsSNPs that underlie polygenic diseases. All of the programs were written in Java and are available from the authors upon request.

Amino Acid Substitution↗
PubMed2001

Allelic association with SNPs: metrics, populations, and the linkage disequilibrium map.

Comparison of different metrics, using three large samples of haplotypes from different populations, demonstrates that rho is the most efficient measure of association between pairs of single nucleotide polymorphisms (SNPs). Pairwise data can be modeled, using composite likelihood, to describe the decline in linkage disequilibrium with distance (the Malecot model). The evidence from more isolated populations (Finland, Sardinia) suggests that linkage disequilibrium extends to 427-893 kb but, even in samples representative of large heterogeneous populations, such as CEPH, the extent is 385 kb or greater. This suggests that isolated populations are not essential for linkage disequilibrium mapping of common diseases with SNPs. The in parameter of the Malecot model (recombination and time), evaluated at each SNP, indicates regions of the genome with extensive and less extensive disequilibrium (low and high values of in respectively). When plotted against the physical map, the regions with extensive and less extensive linkage disequilibrium may correspond to recombination cold and hot spots. This is discussed in relation to the Xq25 cytogenetic band and the HFE gene region.

Alleles↗
PubMed2003

Identification of novel SNPs in the interleukin 6 receptor gene (IL6R).

The human interleukin-6 receptor (IL6R) is responsible for signal transduction of IL6 that might have associations with immune diseases and various infectious diseases. We have sequenced all 10 exons including the putative splicing site to identify single nucleotide polymorphisms in IL6R. Seven novel single nucleotide polymorphisms (SNPs) were identified; one SNP in the promoter region (-183G>A), one synonymous SNP in exon 2 (24013G>A: Ala31Ala), one non-synonymous SNP in exon 9 (48892A>C: Asp358Ala) and four in introns (29753A>C, 42700T>C, 48869T>A and 59818C>T). The frequencies of each SNP in the Korean population (n=300) were 0.48 (-183 G>A), 0.13 (24013 G>A), 0.41 (29753A>C), 0.41 (42700T>C), 0.1 (48869T>A), 0.42 (48892A>C), and 0.07 (59818C>T), respectively. Haplotypes and their frequencies were estimated by the EM algorithm. Linkage disequilibrium coefficients (/D'/) between each SNP pair were also calculated. The information on SNPs and haplotypes in IL6R would be useful for genetic studies of this gene.

Chromosome Mapping↗
PubMed2007

BARCSoySNP23: a panel of 23 selected SNPs for soybean cultivar identification.

This report describes a set of 23 informative SNPs (BARCSoySNP23) distributed on 19 of the 20 soybean linkage groups that can be used for soybean cultivar identification. Selection of the SNPs to include in this set was made based upon the information provided by each SNP for distinguishing a diverse set of soybean genotypes as well as the linkage map position of each SNP. The genotypes included the ancestors of North American cultivars, modern North American cultivars and a group of Korean cultivars. The procedure used to identify this subset of highly informative SNP markers resulted in a significant increase in the power of identification versus any other randomly selected set of equal number. This conclusion was supported by a simulation which indicated that the 23-SNP panel can uniquely distinguish 2,200 soybean cultivars, whereas sets of randomly selected 23-SNP panels allowed the unique identification of only about 50 cultivars. The 23-SNP panel can efficiently distinguish each of the genotypes within four maturity group sets of additional cultivars/lines that have identical classical pigmentation and morphological traits. Comparatively, the 13 trinucleotide SSR set published earlier (BARCSoySSR13) has more power on a per locus basis because of the multi-allelic nature of SSRs. However, the assay of bi-allelic SNP loci can be multi-plexed using non-gel based techniques allowing for rapid determination of the SNP alleles present in soybean genotypes, thereby compensating for their relatively low information content. Both BARCSoySNP23 and BARCSoySSR13 were highly congruent relative to identifying genotypes and for estimating population genetic differences.

Alleles↗
PubMed2007

Validation of in silico-predicted genic SNPs in white clover (Trifolium repens L.), an outbreeding allopolyploid species.

White clover (Trifolium repens L.) is an obligate outbreeding allotetraploid forage legume. Gene-associated SNPs provide the optimum genetic system for improvement of such crop species. An EST resource obtained from multiple cDNA libraries constructed from numerous genotypes of a single cultivar has been used for in silico SNP discovery and validation. A total of 58 from 236 selected sequence clusters (24.5%) were fully validated as containing polymorphic SNPs by genotypic analysis across the parents and progeny of several two-way pseudo-testcross mapping families. The clusters include genes belonging to a broad range of predicted functional categories. Polymorphic SNP-containing ESTs have also been used for comparative genomic analysis by comparison with whole genome data from model legume species, as well as Arabidopsis thaliana. A total of 29 (50%) of the 58 clusters detected putative ortholoci with known chromosomal locations in Medicago truncatula, which is closely related to white clover within the Trifolieae tribe of the Fabaceae. This analysis provides access to translational data from model species. The efficiency of in silico SNP discovery in white clover is limited by paralogous and homoeologous gene duplication effects, which are resolved unambiguously by the transmission test. This approach will also be applicable to other agronomically important cross-pollinating allopolyploid plant species.

Arabidopsis↗
PubMed2005

SNPs in the neural cell adhesion molecule 1 gene (NCAM1) may be associated with human neural tube defects.

Neural tube defects (NTDs) are common birth defects, occurring in approximately 1/1,000 births; both genetic and environmental factors are implicated. To date, no major genetic risk factors have been identified. Throughout development, cell adhesion molecules are strongly implicated in cell-cell interactions, and may play a role in the formation and closure of the neural tube. To evaluate the role of neural cell adhesion molecule 1 (NCAM1) in risk of human NTDs, we screened for novel single-nucleotide polymorphisms (SNPs) within the gene. Eleven SNPs across NCAM1 were genotyped using TaqMan. We utilized a family-based approach to evaluate evidence for association and/or linkage disequilibrium. We evaluated American Caucasian simplex lumbosacral myelomeningocele families (n=132 families) using the family based association test (FBAT) and the pedigree disequilibrium test (PDT). Association analysis revealed a significant association between risk for NTDs and intronic SNP rs2298526 using both the FBAT test (P=0.0018) and the PDT (P=0.0025). Using the HBAT version of the FBAT to look for haplotype association, all pairwise comparisons with SNP rs2298526 were also significant. A replication study set, consisting of 72 additional families showed no significant association; however, the overall trend for overtransmission of the less common allele of SNP rs2298526 remained significant in the combined sample set. In addition, we analyzed the expression pattern of the NCAM1 protein in human embryos, and while NCAM1 is not expressed within the neural tube at the time of closure, it is expressed in the surrounding and later in differentiated neurons of the CNS. These results suggest variations in NCAM1 may influence risk for human NTDs.

Gene Expression Regulation, Developmental↗
PubMed2006

ICAM gene cluster SNPs and prostate cancer risk in African Americans.

Intercellular adhesion molecules (ICAMs) are known to be involved in various human cancers. An ICAM gene cluster lying within a 26 kb region on chromosome 19p13.2, and containing ICAM1, ICAM4, and ICAM5 has recently been identified as harboring a breast and prostate cancer susceptibility locus in two populations of European ancestry from Germany and Australia. The objective of this study was to confirm the ICAM association with prostate cancer in a sample of African American prostate cancer cases (N = 286) and controls (N = 391). Six single nucleotide polymorphisms (SNPs) within the three ICAM genes were genotyped. To control for potential population stratification an ancestry-adjusted association analysis was performed. We found that ICAM1 SNPs, -9A/C (rs5490) and K469E (rs5498) were associated with prostate cancer risk in men with a family history of prostate cancer (P = 0.008). Specifically, increased risk was observed for individuals who possessed the CC genotype of the -9 A/C variant (odds ratio = 2.5; 95% CI = 1.0-6.3) and at least one G allele of non-synonymous K469E variant (odds ratio = 1.8; 95% CI = 1.2-3.1). Strong linkage disequilibrium was observed across the ICAM region (P < 0.001). A common haplotype within the ICAM gene cluster, harboring the -9A/C variant was significantly associated with prostate cancer (P = 0.03), mainly due to men with family history (P = 0.01). Our results replicate previous findings of association of the ICAM gene cluster with prostate cancer and suggest that common genetic variation within ICAM1 and not ICAM5 may be an important risk factor for prostate cancer.

Black or African American↗
PubMed2003

Allele frequencies of single nucleotide polymorphisms (SNPs) in 40 candidate genes for gene-environment studies on cancer: data from population-based Japanese random samples.

Knowledge of genetic polymorphisms in gene-environment studies may contribute to more accurate identification of avoidable risks and to developing tailor-made preventative measures. The aim of this study was to describe the allele frequencies of single nucleotide polymorphisms (SNPs) of select genes, which may be included in future gene-environment studies on cancer in Japan. SNP typing was performed on middle-aged Japanese men randomly selected from the general population in five areas of Japan. We genotyped and calculated allele frequencies of 153 SNPs located on 40 genes: CYP1A1, CYP1B1, CYP2C9, CYP2C19, CYP2E1, CYP17A1, CYP19A1, AHR, ESR1, ESR2, ERRRG, PGR, EPHX1, EPHX2, HSD17B2, HSD17B3, GSTM2, GSTM3, GSTT2, GSTP1, NAT1, NAT2, COMT, ADH1A, ADH1B, ADH1C, ALDH2, NOS2A, NOS3, IL1A, IL1B, OGG1, NUDT1 [MTH1], DRD2, DRD3, DRD4, SLC6A4, NR3C1 [GCCR], MTHFR, and NQO1. In the present study, the Japanese allele frequencies were verified by using nationwide population samples.

Alleles↗
PubMed2001

Multiple single-nucleotide polymorphisms (SNPs) in the Japanese population in six candidate genes for long QT syndrome.

We report here 20 single-nucleotide polymorphisms (SNPs), including 15 novel ones, in six genes that are considered to be candidates for long QT syndrome (LQTS): 2 SNPs in KCNB1, 3 in KCND3, 3 in KCNJ11, 7 in ABCC9, 3 in ADRB1, and 2 in SLC18A2. We also examined their allelic frequencies in a Japanese sample population of LQTS-affected and nonaffected individuals. These data will be useful for genetic association studies designed to investigate acquired arrhythmias.

Alleles↗
PubMed2004

SNPs, SSRs and inferences on cassava's origin.

Despite its importance as a staple food throughout the tropics, the root crop cassava (it Manihot esculenta ssp. esculenta) has traditionally not been a major focus of research. One basic question about cassava that remained unresolved until recently concerns the crop's origin. This paper describes analyses of SNPs (single nucleotide polymorphisms) and SSR (simple sequence repeat) variation as a means of tracing cassava's evolutionary and geographical origins. Genetic diversity was examined in a sample of 20 cassava varieties that are representative of germplasm diversity within the crop, and in 212 individuals collected from wild populations of two closely related Manihot species. SNP and indel variation was examined in portions of two low copy nuclear genes, BglA and Hnl. Inferences from these genes were compared to those from previously examined loci, including the low copy nuclear gene G3pdh and 5 SSR loci. For all genes examined, SNPs and SSR alleles are shared between domesticated cassava and a specific geographical subset of wild Manihot populations, which suggests the following: (1) Cassava was likely domesticated from a single wild Manihot species, M. esculenta ssp. flabellifolia, rather than from multiple hybridizing species, as traditionally believed; and (2) the crop most likely originated in the southern Amazon basin.

Aldehyde-Lyases↗
PubMed2005

The association of common SNPs and haplotypes in the CETP and MDR1 genes with lipids response to fluvastatin in familial hypercholesterolemia.

OBJECTIVE: To examine whether genetic polymorphisms in the cholesteryl-ester transfer protein (CETP) and the P-glycoprotein drug transporter (MDR1), are associated with variable lipid response to fluvastatin. METHODS: Lipid levels were determined in a compliance-monitored clinical study at baseline and following 20 weeks of treatment with 40 mg dose of fluvastatin in 76 FH patients. CETP and MDR1 SNP genotyping was performed and linear regression was used to examine the associations between common SNPs and haplotypes and lipid response. RESULTS: Treatment with 40 mg of fluvastatin resulted in mean low density lipoprotein cholesterol (LDL-C) reduction of 21.5%; mean triglyceride (TG) reduction of 8.3%; and a mean high-density lipoprotein cholesterol (HDL-C) increase of 13.4%. Five tagging SNPs in both genes were used to reconstruct five and six haplotypes accounting for 71.4% and 90.2% of the observed haplotypes in the CETP and MDR1 genes, respectively. CETP-H13 and MDR1-h4 were associated with an increase in LDL-C response. CETP-H5 was significantly associated with decreased TG and HDL-C response, whereas MDR1-h10 was associated with decreased TG response. A multivariate regression model indicated an independent additive effect of CETP-H5 and MDR1-h10 on the level of TG response. CONCLUSIONS: CETP and MDR1 have independent effects on lipid changes following fluvastatin treatment. The results of this study may lead to an improved understanding of the genetic determinants of lipids response to treatment.

Adult↗
PubMed2006

SNPs on chips: the hidden genetic code in expression arrays.

Gene expression microarray analysis in postmortem brains is one of the fastest growing fields of psychiatric research. Here we show that common polymorphisms (SNPs) present on probe sets can masquerade as significant "gene expression" differences. After first observing this artifact in the Catechol-O-methyl transferase (COMT) gene, we replicate the finding in two additional genes predicted to show this artifact. Many Affymetrix chips contain thousands of SNPs that are both common and in the central probe region affecting hybridization, and thus have the potential to confound expression analysis.

Analysis of Variance↗
PubMed2011

Identification of transcriptome SNPs between Xiphophorus lines and species for assessing allele specific gene expression within F&#x2081; interspecies hybrids.

Variations in gene expression are essential for the evolution of novel phenotypes and for speciation. Studying allelic specific gene expression (ASGE) within interspecies hybrids provides a unique opportunity to reveal underlying mechanisms of genetic variation. Using Xiphophorus interspecies hybrid fishes and high-throughput next generation sequencing technology, we were able to assess variations between two closely related vertebrate species, Xiphophorus maculatus and Xiphophorus couchianus, and their F(1) interspecies hybrids. We constructed transcriptome-wide SNP polymorphism sets between two highly inbred X. maculatus lines (JP 163 A and B), and between X. maculatus and a second species, X. couchianus. The X. maculatus JP 163 A and B parental lines have been separated in the laboratory for &#x2248;70 years and we were able to identify SNPs at a resolution of 1 SNP per 49 kb of transcriptome. In contrast, SNP polymorphisms between X. couchianus and X. maculatus species, which diverged &#x2248;5-10 million years ago, were identified about every 700 bp. Using 6524 transcripts with identified SNPs between the two parental species (X. maculatus and X. couchianus), we mapped RNA-seq reads to determine ASGE within F(1) interspecies hybrids. We developed an in silico X. couchianus transcriptome by replacing 90,788 SNP bases for X. maculatus transcriptome with the consensus X. couchianus SNP bases and provide evidence that this procedure overcomes read mapping biases. Employment of the in silico reference transcriptome and tolerating 5 mismatches during read mapping allow direct assessment of ASGE in the F(1) interspecies hybrids. Overall, these results show that Xiphophorus is a tractable vertebrate experimental model to investigate how genetic variations that occur during speciation may affect gene interactions and the regulation of gene expression.

Alleles↗