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At least 271 records · Page 15Linked to original sources

Examining the role of common genetic variation in the gamma2 subunit of the GABA(A) receptor in epilepsy using tagging SNPs.

INTRODUCTION: Mutations in the gamma2 subunit gene of the GABA(A) receptor, GABRG2, have been shown to cause generalised epilepsy syndromes in rare familial cases. Here we set out to examine whether common variation in GABRG2 predisposes to the development of common, complex forms of epilepsy in two large independent cohorts. METHODS: We have applied a tagging single nucleotide polymorphism (tSNP) technique allowing us to satisfactorily represent common variation in the gene. However, to ensure maximal representation of functional variation and in particular in cases of low minor allele frequency (MAF), we have identified and forced known functional variation as tagging SNPs. We examined the association between tagging SNPs and subtypes of epilepsy in two independent cohorts; the first consisted of 677 cases and 384 healthy controls, the second of 684 cases and 277 healthy controls. RESULTS: We failed to detect any variation that conferred an increased risk of disease development in both cohorts. DISCUSSION: Our results suggest that common variants of strong effect in GABRG2 do not appear to play a role in the development of common, complex forms of epilepsy. This report illustrates a number of important features of study design in genetic association studies, including the simultaneous use of map and sequence-based techniques and the necessity of replication before robust conclusions can be drawn from results.

Alleles↗

The controversial association of ABCB1 polymorphisms in refractory epilepsy: an analysis of multiple SNPs in an Irish population.

Controversy has surrounded the reported association of the single nucleotide polymorphism (SNP) C3435T of the ATP-binding cassette subfamily B member 1 (ABCB1, MDR1) gene, with refractory epilepsy. Here we examine this question by: (1) attempting to replicate the original association, (2) assessing the association of other variants in high linkage disequilibrium (LD) with C3435T, and (3) evaluating and comparing our findings with other published studies. We defined drug-responsiveness as seizure freedom or a 50% or more reduction in seizure frequency in the preceding year. Drug resistance was defined as a less than 50% reduction in seizure frequency in the preceding year. We used a combination of map-based (tagging SNPs) and direct sequence-based methods allowing a comprehensive assessment of variation across the associated interval. Genotypic data on 8 SNPs was collected on 440 patients, of whom 242 were drug-responsive and 198 were drug-resistant. We were unable to observe the original association of drug-resistant epilepsy with C3435T, nor any association with other functional variants at SNP or haplotype level in the ABCB1 gene. Evaluation of other attempted replication studies suggest that if the original C3435T association is indeed real, it would appear highly sensitive to the phenotype used. Alternatively, the discrepant results of this and other association attempts may be indicative of the original report of the CC genotype at C3435T in ABCB1 being a false positive finding. Variability in phenotypic descriptions in genetic association studies may partly explain the inconsistency of attempted replications.

ATP Binding Cassette Transporter, Subfamily B↗

Analysis of artificially degraded DNA using STRs and SNPs--results of a collaborative European (EDNAP) exercise.

Recently, there has been much debate about what kinds of genetic markers should be implemented as new core loci that constitute national DNA databases. The choices lie between conventional STRs, ranging in size from 100 to 450 bp; mini-STRs, with amplicon sizes less than 200 bp; and single nucleotide polymorphisms (SNPs). There is general agreement by the European DNA Profiling Group (EDNAP) and the European Network of Forensic Science Institutes (ENFSI) that the reason to implement new markers is to increase the chance of amplifying highly degraded DNA rather than to increase the discriminating power of the current techniques. A collaborative study between nine European and US laboratories was organised under the auspices of EDNAP. Each laboratory was supplied with a SNP multiplex kit (Foren-SNPs) provided by the Forensic Science Service, two mini-STR kits provided by the National Institute of Standards and Technology (NIST) and a set of degraded DNA stains (blood and saliva). Laboratories tested all three multiplex kits, along with their own existing DNA profiling technique, on the same sets of degraded samples. Results were collated and analysed and, in general, mini-STR systems were shown to be the most effective. Accordingly, the EDNAP and ENFSI working groups have recommended that existing STR loci are reengineered to provide smaller amplicons, and the adoption of three new European core loci has been agreed.

Analysis of Variance↗

Competitive allele-specific short oligonucleotide hybridization (CASSOH) with enzyme-linked immunosorbent assay (ELISA) for the detection of pharmacogenetic single nucleotide polymorphisms (SNPs).

Individualization of drug therapy through genetic testing would maximize the effectiveness of medication and minimize its risks. Recent progress in genetic testing technologies has been remarkable, and they have been applied for the analysis of genetic polymorphisms that regulate drug responses. Clinical application of genetic information to individual health care requires simple and rapid identification of nucleotide changes in clinical settings. We previously reported a novel DNA diagnostic method for detecting single nucleotide polymorphisms (SNPs) using competitive allele-specific short oligonucleotide hybridization (CASSOH) with an immunochromatographic strip. We have developed the method further in order to incorporate an enzyme-linked immunosorbent assay (ELISA) into the final detection step; this enables multiple SNP detection. Special ELISA chips have been fabricated so that disposal of buffer waste is not required and handling procedures are minimized. This method (CASSOH-ELISA) has been successfully applied for the detection of clinically important SNPs in drug metabolism, such as N-acetyltransferase 2, NAT2*6 (590G>A) and NAT*7 (857G>A), and mitochondrial DNA (1555A>G). It would also facilitate point-of-care genetic testing for potentially diverse clinical applications.

Amino-Acid N-Acetyltransferase↗

Assessment of population structure by single nucleotide polymorphisms (SNPs) in goat breeds.

Single nucleotide polymorphisms (SNPs) may be used in biodiversity studies and commercial tasks like traceability, paternity testing and selection for suitable genotypes. Twenty-seven SNPs were characterized and genotyped on 250 individuals belonging to eight Italian goat breeds. Multilocus genotype data were used to infer population structure and assign individuals to populations. To estimate the number of groups (K) to test in population structure analysis we used likelihood values and variance of the bootstrap samples, deriving optimal K from a drop in the likelihood and a rise in the variance plots against K.

Animals↗

Identification and analysis of deleterious human SNPs.

We have developed two methods of identifying which non-synonomous single base changes have a deleterious effect on protein function in vivo. One method, described elsewhere, analyzes the effect of the resulting amino acid change on protein stability, utilizing structural information. The other method, introduced here, makes use of the conservation and type of residues observed at a base change position within a protein family. A machine learning technique, the support vector machine, is trained on single amino acid changes that cause monogenic disease, with a control set of amino acid changes fixed between species. Both methods are used to identify deleterious single nucleotide polymorphisms (SNPs) in the human population. After carefully controlling for errors, we find that approximately one quarter of known non-synonymous SNPs are deleterious by these criteria, providing a set of possible contributors to human complex disease traits.

Animals↗

Pharmacogenetics of MXA SNPs in interferon-beta treated multiple sclerosis patients.

The myxovirus resistance A (MXA) mRNA has been extensively investigated for assessing the biologic responses of multiple sclerosis (MS) patients to interferon-beta (IFN-beta) therapy. The objective of this study was to evaluate the associations between two MXA promoter region single nucleotide polymorphisms (rs2071430 and rs17000900) and the gene expression responses, clinical and MRI phenotypes in IFN-beta treated MS patients. The rs2071430 and rs17000900 SNPs, which are located in or near an interferon-stimulated response element (ISRE), were genotyped in 179 relapsing MS patients. Quantitative MRI measurements were available for 101 patients on IFN-beta monotherapy. Gene expression was assessed in 22 anti-interferon-beta neutralizing antibody negative patients. No significant association was found between the MXA genotype at these two SNPs and clinical, MRI and MXA gene expression in MS patients treated with IFN-beta therapy.

Adult↗

No association of two common SNPs at position -1727 A/T, -50 C/T of GSK-3 beta polymorphisms with schizophrenia and bipolar disorder of Korean population.

Recent studies have suggested the involvement of Glycogen synthase kinase-3 beta (GSK-3 beta) in pathogenesis and treatment target of schizophrenia and bipolar disorder, which led to consider GSK-3 beta as one of the candidate genes for those disorders. However, the association analysis between GSK-3 beta and either schizophrenia or bipolar disorder is yet to be reported in Korean population. Along with 350 healthy individuals, a sample of 138 schizophrenia and 120 bipolar patients was analyzed for two common SNPs at position -1727 A/T and -50 C/T polymorphism localized in intron 1 of the gene. The results showed that allele, genotype and haplotype distributions for the two SNPs do not differ between the controls and neither schizophrenia nor bipolar disorder patients. We also analyzed the association between the controls and the combined samples of schizophrenia and bipolar disorder, but no association was found. In conclusion, these results suggest that the GSK-3 beta is not associated with the development of schizophrenia and bipolar disorder in Korean population.

Adult↗

Screening of SNPs at 18 positional candidate genes, located within the GD-1 locus on chromosome 14q23-q32, for susceptibility to Graves' disease: a TDT study.

Graves' disease (GD) is a complex autoimmune thyroid disorder with a strong genetic component. Genome-wide screens resolved several susceptibility loci that contribute to the development of GD. One of the susceptibility loci (GD-1 locus) was mapped on chromosome 14q31. However, a susceptibility gene located within the GD-1 locus remains undefined. Here we screen eighteen single nucleotide polymorphisms (SNPs), each is situated at a corresponding positional candidate gene, located within the GD-1 susceptibility locus on chromosome 14q23-q32, for predisposition to GD using the transmission disequilibrium test in 126 simplex Russian families affected with GD. Among SNPs tested, a significant preferential transmission of the Ala allele (41 transmissions vs. 17 nontransmissions, corrected P=0.031) of the Thr92Ala SNP within the DIO2 gene, encoding type II iodothyronine deiodinase, from parents to affected children was found in a Russian family data set. The Thr92Ala SNP of the DIO2 gene and the D727E substitution of the thyrotropin receptor (TSHR) gene have been found to be in pair-wise linkage disequilibrium. The A92/E727 haplotype showed significant preferential transmission from parents to affected sibling (17 transmissions vs. 8 nontransmissions, P=0.039) in simplex families. This suggests that the Thr92Ala variant of the DIO2 gene is associated or may be in linkage disequilibrium with a functional DIO2 polymorphism which involves in the development of GD in a Russian population.

Adolescent↗

Large-scale search of SNPs for type 2 DM susceptibility genes in a Japanese population.

The etiology of type 2 diabetes (DM) is polygenic. We investigated here genes and polymorphisms that associate with DM in the Japanese population. Single-nucleotide polymorphisms (SNPs) of 398 derived from 120 candidate genes were examined for association with DM in a population-based case-control study. The study group consisted of 148 cases and 227 controls recruited from Funagata, Japan. No evident subpopulation structure was detected for the tested population. The association tests were conducted with standard allele positivity tables (chi(2) tests) between SNP genotype frequency and case-control status. The independent association of the SNPs from serum triglyceride levels and body mass index was examined by multiple logistic regression analysis. A value of P<0.01 was accepted as statistically significant. Six genes (met proto-oncogene, ATP-binding cassette transporter A1, fatty acid binding protein 2, LDL receptor defect C complementing, aldolase B, and sulfonylurea receptor) were shown to be associated with DM.

ATP-Binding Cassette Transporters↗

Haplotypes of the 5' region of the IL-4 gene and SNPs in the intergene sequence between the IL-4 and IL-13 genes are associated with atopic asthma.

IL-4 and IL-13 are important in IgE synthesis and allergic inflammation. Therefore, genes encoding IL-4 and IL-13 are candidates for predisposition to asthma and atopy. A recent study in the YAC transgenic mouse has revealed that one of the conserved noncoding sequences (CNS-1) between IL-4 and IL-13 influences the expression of IL-4, IL-5, and IL-13, suggesting that CNS-1 acts as a coordinate regulator of these genes. This investigation screened for mutations in the 13-kb region between IL-4 and IL-13, which includes the human equivalent of the murine CNS-1. Four single nucleotide polymorphisms (SNPs) were found in the region between IL-4 and IL-13 (IL-4-IL-13SNP1, IL-4-IL-13SNP2, IL-4-IL-13SNP3, and IL-4-IL-13SNP4). There was no mutation in the human CNS-1. We genotyped these and other previously reported polymorphisms in IL-4 and IL-13 using asthmatic families, and examined association by transmission disequilibrium test. Two-locus haplotype analysis revealed that haplotypes composed of the IL-4 RP2del, IL-4 +33T, or IL-4 -589T alleles and either IL-4-IL-13SNP3G or IL-4-IL-13SNP4C are transmitted significantly to asthma-affected children (p = 0.002). This data suggests that haplotypes composed of the 5' region polymorphisms in the IL-4 gene and SNPs in the intergene sequence between IL-4 and IL-13 influence the development of asthma.

Adolescent↗

Regulatory SNPs in complex diseases: their identification and functional validation.

Finding the genetic causes for complex diseases is a challenge. Expression studies have shown that the level of expression of many genes is altered in disease compared with normal conditions, but what lies behind these changes? Linkage studies provide hints as to where in the genome the genetic triggers--the mutations--might be located. Fine-mapping and association studies can give yet more information about which genes, and which changes in the genes, are involved in the disease. Recent examples show that single-nucleotide polymorphisms (SNPs), which are variations at the single-nucleotide level within an individual's DNA, in the regulatory regions of some genes constitute susceptibility factors in many complex diseases. This article discusses the nature of regulatory SNPs (rSNPs) and techniques for their functional validation, and looks towards what rSNPs can tell us about complex diseases.

Alleles↗

PNA for one-base differentiating protection of DNA from nuclease and its use for SNPs detection.

By the combination of peptide nucleic acid (PNA) with single-stranded DNA specific nucleases, alteration of a single base to another in DNA has been detected with high accuracy. Only the DNAs in DNA/PNA duplexes involving a mismatch are efficiently hydrolyzed by these enzymes, whereas fully matching sequences are kept intact. This difference is visually scored by adding 3,3'-diethylthiadicarbocyanine, which changes its color from blue to purple upon binding to DNA/PNA duplexes. These findings are applied to the convenient and straightforward detection of single nucleotide polymorphisms (SNPs). When the target site in the sample DNA is completely complementary with the PNA, a notable amount of DNA/PNA duplex remains and thus the solution exhibits purple color. In the presence of even one mismatch between PNA and DNA, however, the DNA is completely digested by the enzyme and therefore the dye shows its intrinsic blue color. The SNPs in the apolipoprotein E gene of human DNA have been successfully genotyped by this method.

Apolipoproteins E↗

Genotyping pooled DNA on microarrays: a systematic genome screen of thousands of SNPs in large samples to detect QTLs for complex traits.

Large samples and systematic screens of thousands of DNA markers are needed to detect quantitative trait loci (QTLs) of small effect size. One approach to conduct systematic genome scans for association is to use microarrays which, although expensive and non-reusable, simultaneously genotype thousands of single-nucleotide polymorphisms (SNPs). This brief report provides proof of principle that groups of pooled DNA (for example cases and controls) can be genotyped reliably on a microarray. DNA was pooled for 105 Caucasian males and genotyped three times on microarrays for more than 10,000 SNPs (Affymetrix GeneChip Mapping 10K Array Xba 131). The average correlation was 0.973 between the allele frequency estimates for the three microarrays using the same DNA pool. The correlation was 0.923 between the average of the three microarray estimates using pooled DNA and individual genotyping estimates for a Caucasian population as provided by Affymetrix (NetAffx). Thus, genotyping pooled DNA on microarrays can provide a systematic and powerful approach for identifying QTL associations for complex traits including behavioral dimensions and disorders.

DNA↗

Functional SNPs in the lymphotoxin-alpha gene that are associated with susceptibility to myocardial infarction.

By means of a large-scale, case-control association study using 92,788 gene-based single-nucleotide polymorphism (SNP) markers, we identified a candidate locus on chromosome 6p21 associated with susceptibility to myocardial infarction. Subsequent linkage-disequilibrium (LD) mapping and analyses of haplotype structure showed significant associations between myocardial infarction and a single 50 kb halpotype comprised of five SNPs in LTA (encoding lymphotoxin-alpha), NFKBIL1 (encoding nuclear factor of kappa light polypeptide gene enhancer in B cells, inhibitor-like 1) and BAT1 (encoding HLA-B associated transcript 1). Homozygosity with respect to each of the two SNPs in LTA was significantly associated with increased risk for myocardial infarction (odds ratio = 1.78, chi(2) = 21.6, P = 0.00000033; 1,133 affected individuals versus 1,006 controls). In vitro functional analyses indicated that one SNP in the coding region of LTA, which changed an amino-acid residue from threonine to asparagine (Thr26Asn), effected a twofold increase in induction of several cell-adhesion molecules, including VCAM1, in vascular smooth-muscle cells of human coronary artery. Moreover, the SNP, in intron 1 of LTA, enhanced the transcriptional level of LTA. These results indicate that variants in the LTA are risk factors for myocardial infraction and implicate LTA in the pathogenesis of the disorder.

Aged↗

Transferability of tag SNPs in genetic association studies in multiple populations.

A general question for linkage disequilibrium-based association studies is how power to detect an association is compromised when tag SNPs are chosen from data in one population sample and then deployed in another sample. Specifically, it is important to know how well tags picked from the HapMap DNA samples capture the variation in other samples. To address this, we collected dense data uniformly across the four HapMap population samples and eleven other population samples. We picked tag SNPs using genotype data we collected in the HapMap samples and then evaluated the effective coverage of these tags in comparison to the entire set of common variants observed in the other samples. We simulated case-control association studies in the non-HapMap samples under a disease model of modest risk, and we observed little loss in power. These results demonstrate that the HapMap DNA samples can be used to select tags for genome-wide association studies in many samples around the world.

Breast Neoplasms↗

Genotyping over 100,000 SNPs on a pair of oligonucleotide arrays.

We present a genotyping method for simultaneously scoring 116,204 SNPs using oligonucleotide arrays. At call rates >99%, reproducibility is >99.97% and accuracy, as measured by inheritance in trios and concordance with the HapMap Project, is >99.7%. Average intermarker distance is 23.6 kb, and 92% of the genome is within 100 kb of a SNP marker. Average heterozygosity is 0.30, with 105,511 SNPs having minor allele frequencies >5%.

Algorithms↗

In silico whole-genome scanning of cancer-associated nonsynonymous SNPs and molecular characterization of a dynein light chain tumour variant.

Last decade has led to the accumulation of large amounts of data on cancer genetics, opening an unprecedented access to the mapping of cancer genes in the human genome. Single-nucleotide polymorphisms (SNPs), the most common form of DNA variation in humans, emerge as an invaluable tool for cancer association studies. These genotypic markers can be used to assay how alleles of candidate genes correlate with the malignant phenotype, and may provide new clues into the genetic modifications that characterize cancer onset. In this cancer-oriented study, we detail an SNP mining strategy based on the analysis of expressed sequence tags among publicly available databases. Our whole-genome approach provides a comprehensive and unbiased description of nonsynonymous SNPs (nsSNPs) in tumoral versus normal tissues. To gain further insights into the possible relationships between genetic variation and altered phenotype, locations of a subset of nsSNPs were mapped onto protein domains known to be critical for protein function. Computational methods were also used to predict the potential impact of these cancer-associated nsSNPs on protein structure and function. We illustrate our approach through the detailed biochemical and structural characterization of a previously unknown cancer-associated mutation (G79C) affecting the 8 kDa dynein light chain (DNCL1).

Computational Biology↗