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PubMed2004

MMP-1 polymorphic expression in aortic endothelial cells: possible role in lesion development in smokers and nonsmokers.

Matrix metalloproteinase-1 (MMP-1) is involved in the degradation of extra-cellular matrix components and is thought to play a key role in atherogenesis. The objective of the present study was to determine: (1) whether MMP-1 differential gene expression observed in primary cultures of human aortic endothelial cells (HAEC) exposed to cigarette smoke condensate (CSC) was associated with a single nucleotide polymorphism (SNP) in its promoter region and (2) if the SNP altered atherosclerotic lesion development in smokers and nonsmokers. Genotype analysis of six HAEC lines revealed that those homozygous for the 1G-variant exhibited low levels of gene expression. Cells homozygous for the 2G-variant or heterozygous (1G/2G) had elevated levels of both mRNA and protein. These relative levels were also seen after CSC expo-sure. MMP-1 genotypes of 104 Caucasian males acquired from the Pathobiological Determinants of Atherosclerosis in Youth study were compared with the extent of atherosclerotic lesion development in the aorta. The results indicate that, although the MMP-1 SNP influences MMP-1 gene expression in cultured HAEC exposed to CSC, differences in lesion development were not observed based on this polymorphism in young Caucasian males.

Arteries↗
PubMed2006

Whole-genome genotyping of haplotype tag single nucleotide polymorphisms.

The International HapMap Consortium recently completed genotyping over 3.8 million single nucleotide polymorphisms (SNPs) in three major populations, and the results of studying patterns of linkage disequilibrium indicate that characterization of 300,000-500,000 tag SNPs is sufficient to provide good genomic coverage for linkage-disequilibrium-based association studies in many populations. These whole-genome association studies will be used to dissect the genetics of complex diseases and pharmacogenomic drug responses. As such, the development of a cost-effective genotyping platform that can assay hundred of thousands of SNPs across thousands of samples is essential. In this review, we describe the development of a whole-genome genotyping (WGG) assay that enables unconstrained SNP selection and effectively unlimited multiplexing from a single sample preparation. The development of WGG in concert with high-density BeadChips has enabled the creation of three different high-density SNP genotyping BeadChips: the Sentrix Human-1 Genotyping BeadChip containing over 109,000 exon-centric SNPs; the HumanHap300 BeadChip containing over 317,000 tag SNPs, and the HumanHap550 Beadchip containing over 550,000 tag SNPs.

Automation↗
PubMed2005

An analysis of identical single-nucleotide polymorphisms genotyped by two different platforms.

The overlap of 94 single-nucleotide polymorphisms (SNP) among the 4,720 and 11,120 SNPs contained in the linkage panels of Illumina and Affymetrix, respectively, allows an assessment of the discrepancy rate produced by these two platforms. Although the no-call rate for the Affymetrix platform is approximately 8.6 times greater than for the Illumina platform, when both platforms make a genotypic call, the agreement is an impressive 99.85%. To determine if disputed genotypes can be resolved without sequencing, we studied recombination in the region of the discrepancy for the most discrepant SNP rs958883 (typed by Illumina) and tsc02060848 (typed by Affymetrix). We find that the number of inferred recombinants is substantially higher for the Affymetrix genotypes compared to the Illumina genotypes. We illustrate this with pedigree 10043, in which 3 of 7 versus 0 of 7 offspring must be double recombinants using the genotypes from the Affymetrix and the Illumina platforms, respectively. Of the 36 SNPs with one or more discrepancies, we identified a subset that appears to cluster in families. Some of this clustering may be due to the presence of a second segregating SNP that obliterates a XbaI site (the restriction enzyme used in the Affymetrix platform), resulting in a fragment too long (>1,000 bp) to be amplified.

Female↗
PubMed2006

An IL-7 splicing-defect lymphopenia mouse model revealed by genome-wide mutagenesis.

Homeostasis of the hematopoietic system is tightly regulated by an array of cytokines that control proliferation, differentiation and apoptosis of various cell lineages. To identify genes that are essential for hematopoietic homeostasis, we screened C57BL/6 mice that had been genome-wide mutagenized by N-ethyl-N-nitrosourea (ENU) to produce altered blood cell composition. We identified a mutant mouse line with a drastic reduction in the number of T and B cell lineages in lymphatic tissues and peripheral blood, as well as severe atrophy of the thymus and lymph nodes. Genotyping with a genome-wide single nucleotide polymorphism (SNP) marker set mapped the mutant phenotype to chromosome 3A and subsequent direct DNA sequencing revealed a G-to-A point mutation in the splicing donor site of the third exon of the candidate gene for IL-7, a lymphocyte survival cytokine. Such mutation resulted in skipping of exon 3 and production of an internally truncated IL-7 (DeltaE3-IL7). Furthermore, using recombinant proteins produced in a baculoviral system, we demonstrated that DeltaE3-IL7 had no detectable anti-apoptotic activity even at a dose that was 30 times more than that required for a wild-type protein to manifest a full activity in a naïve T cell survival assay. Our data suggest that this mutant mouse line provides an alternative animal model for the study of severe combined immunodeficiency (SCID) syndrome in humans.

Amino Acid Sequence↗
PubMed2004

A highly informative SNP linkage panel for human genetic studies.

We have developed a highly informative set of single-nucleotide polymorphism (SNP) assays designed for linkage mapping of the human genome. These assays were developed on a robust multiplexed assay system to provide a combination of very high accuracy and data completeness with high throughput for linkage studies. The linkage panel is comprised of approximately 4,700 SNPs with 0.39 average minor allele frequency and 624-kb average spacing. Based on almost 2 million genotypes, data quality was shown to be extremely high, with a 99.94% call rate, >99.99% reproducibility and 99.995% genotypes consistent with mendelian inheritance. We constructed a genetic map with an average 1.5-cM resolution using series of 28 CEPH pedigrees. The relative information content of this panel was higher than those of commonly used STR marker panels. The potent combination of this SNP linkage panel with the multiplexed assay system provides a previously unattainable level of performance for linkage studies.

Algorithms↗
PubMed2004

Single nucleotide polymorphisms predict the change in left ventricular mass in response to antihypertensive treatment.

BACKGROUND: Our aim was to determine whether the change in left ventricular (LV) mass in response to antihypertensive treatment could be predicted by multivariate analysis of single nucleotide polymorphisms (SNPs) in candidate genes reflecting pathways likely to be involved in blood pressure control. METHODS: Patients with mild to moderate primary hypertension and LV hypertrophy were randomized in a double-blind fashion to treatment with either the angiotensin II type 1 receptor antagonist irbesartan (n = 48) or the beta1 adrenoreceptor blocker atenolol (n = 49). A microarray-based minisequencing system was used for genotyping 74 SNPs in 25 genes. These genotypes were related to the change in LV mass index by echocardiography, after 12 weeks treatment as monotherapy, using stepwise multiple regression analysis. RESULTS: The blood pressure reductions were similar and significant in both treatment groups. Two SNPs in two separate genes (the angiotensinogen T1198C polymorphism, corresponding to the M235T variant and the apolipoprotein B G10108A polymorphism) for those treated with irbesartan, and the adrenoreceptor alpha2A A1817G for those treated with atenolol, significantly predicted the change in LV mass. The predictive power of these SNPs was independent of the degree of blood pressure reduction. CONCLUSION: SNPs in the angiotensinogen, apolipoprotein B, and the alpha2 adrenoreceptor gene predicted the change in LV mass during antihypertensive therapy. These results illustrate the potential of using microarray-based technology for SNP genotyping in predicting individual drug responses.

Adrenergic beta-Antagonists↗
PubMed2004

Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies.

Recent studies have revealed that linkage disequilibrium (LD) patterns vary across the human genome with some regions of high LD interspersed by regions of low LD. A small fraction of SNPs (tag SNPs) is sufficient to capture most of the haplotype structure of the human genome. In this paper, we develop a method to partition haplotypes into blocks and to identify tag SNPs based on genotype data by combining a dynamic programming algorithm for haplotype block partitioning and tag SNP selection based on haplotype data with a variation of the expectation maximization (EM) algorithm for haplotype inference. We assess the effects of using either haplotype or genotype data in haplotype block identification and tag SNP selection as a function of several factors, including sample size, density or number of SNPs studied, allele frequencies, fraction of missing data, and genotyping error rate, using extensive simulations. We find that a modest number of haplotype or genotype samples will result in consistent block partitions and tag SNP selection. The power of association studies based on tag SNPs using genotype data is similar to that using haplotype data.

Algorithms↗
PubMed2005

Development of an automation system for single nucleotide polymorphisms genotyping using bio-strand, a new three-dimensional microarray.

Previously, we developed a novel three-dimensional microarray system called Bio-Strand, which may be used in various applications including single nucleotide polymorphisms genotyping. In Bio-Strand, samples for detection are immobilized on a one-dimensional thread, which is wound around a cylinder-shaped core to form a three-dimensional thread-and-core structure. The thread-and-core structure is then inserted into a plastic pipette tip, where hybridization and detection are performed. In this study, we have developed an automation system, NIAGALA Bio-Station SDx, which enables automated hybridization and detection during the genotyping procedure using Bio-Strand. Using this system, we have performed the single nucleotide polymorphism (SNP) genotyping of CYP2C, one of the important human cytochrome P450 genes and the results were completely consistent with the genotyping results determined by the TaqMan method.

Algorithms↗
PubMed2004

Genotyping by dynamic heating of monolayered beads on a microheated surface.

A miniaturized bead-based dynamic allele-specific hybridization (DASH) approach for single-nucleotide polymorphism analysis is presented. Chips with integrated heater and temperature sensors for open-surface DNA analysis were microfabricated. Microcontact printing using a poly(dimethylsiloxane) (PDMS) stamp was employed to create monolayers of immobilized beads on the surface of the chip. This chip allows fast, well-controllable temperature ramping. The temperature distribution was homogeneous over the entire heater area. All three possible variants of an SNP site of a synthesized oligonucleotide were accurately scored using the bead-based DASH approach. Our assay has a nonoptimized temperature ramping rate of 4 degrees C-6 degrees C/min compared to earlier reported values of 2 degrees C-3 degrees C/min, thereby reducing the total analysis time by a factor of 2. Reliable DASH measurement data from areas as small as 12 x 13 microm was achieved. Our bead-based DASH approach has enabled a dramatic volume reduction and is a step towards developing a cost-effective high-throughput DASH method on arrays of single beads.

Alleles↗
PubMed2006

Association genetics in Pinus taeda L. I. Wood property traits.

Genetic association is a powerful method for dissecting complex adaptive traits due to (i) fine-scale mapping resulting from historical recombination, (ii) wide coverage of phenotypic and genotypic variation within a single experiment, and (iii) the simultaneous discovery of loci and alleles. In this article, genetic association among single nucleotide polymorphisms (58 SNPs) from 20 wood- and drought-related candidate genes and an array of wood property traits with evolutionary and commercial importance, namely, earlywood and latewood specific gravity, percentage of latewood, earlywood microfibril angle, and wood chemistry (lignin and cellulose content), was tested using mixed linear models (MLMs) that account for relatedness among individuals by using a pairwise kinship matrix. Population structure, a common systematic bias in association studies, was assessed using 22 nuclear microsatellites. Different phenotype:genotype associations were found, some of them confirming previous evidence from collocation of QTL and genes in linkage maps (for example, 4cl and percentage of latewood) and two that involve nonsynonymous polymorphisms (cad SNP M28 with earlywood specific gravity and 4cl SNP M7 with percentage of latewood). The strongest genetic association found in this study was between allelic variation in alpha-tubulin, a gene involved in the formation of cortical microtubules, and earlywood microfibril angle. Intragenic LD decays rapidly in conifers; thus SNPs showing genetic association are likely to be located in close proximity to the causative polymorphisms. This first multigene association genetic study in forest trees has shown the feasibility of candidate gene strategies for dissecting complex adaptive traits, provided that genes belonging to key pathways and appropriate statistical tools are used. This approach is of particular utility in species such as conifers, where genomewide strategies are limited by their large genomes.

Chromosome Mapping↗
PubMed2002

Identification of cyclin D1 and other novel targets for the von Hippel-Lindau tumor suppressor gene by expression array analysis and investigation of cyclin D1 genotype as a modifier in von Hippel-Lindau disease.

Germ-line mutations in the von Hippel-Lindau (VHL) tumor suppressor disease are associated with a high risk of retinal and cerebellar hemangioblastomas, renal cell carcinoma (RCC), and, in some cases, pheochromocytoma (PHE). In addition, somatic mutation or epigenetic inactivation of the VHL gene occurs in most clear cell RCCs. VHL protein (pVHL) has a critical role in regulating proteasomal degradation of the HIF transcription factor, and VHL inactivation results in overexpression of many hypoxia-inducible mRNAs including vascular endothelial growth factor (VEGF). To identify novel pVHL target genes we investigated the effect of wild-type (WT) pVHL on the expression of 588 cancer-related genes in two VHL-defective RCC cell lines. Expression array analysis identified nine genes that demonstrated a >2-fold decrease in expression in both RCC cell lines after restoration of WT pVHL. Three of the nine genes (VEGF, PAI-1, and LRP1) had been reported previously as pVHL targets and are known to be hypoxia-inducible. In addition, six novel targets were detected: cyclin D1 (CCND1), cell division protein kinase 6, collagen VIII alpha 1 subunit, CD59 glycoprotein precursor, integrin beta8, and interleukin 6 precursor IFN-beta2. We found no evidence that CCND1, cell division protein kinase 6, CD59, and integrin beta8 expression was influenced by hypoxia suggesting that pVHL down-regulates these targets by a HIF-independent mechanism. A type 2C pVHL mutant (V188L), which is associated with a PHE only phenotype (and had been shown previously to retain the ability to promote HIF ubiquitylation), retained the ability to suppress CCND1expression suggesting that loss of pVHL-mediated suppression of cyclin D1 is not necessary for PHE development in VHL disease. Other studies have suggested that: (a) genetic modifiers influence the phenotypic expression of VHL disease; and (b) polymorphic variation at a CCND1 codon 242 A/G single nucleotide polymorphism (SNP) may influence cancer susceptibility or prognosis in some situations. Therefore, we analyzed the relationship between CCND1 genotype and phenotypic expression of VHL disease. There was an association between the G allele and multiple retinal angiomas (P = 0.04), and risk of central nervous system hemangioblastomas (P = 0.05). These findings suggest that a variety of HIF-independent mechanisms may contribute to pVHL tumor suppressor activity and that polymorphic variation at one pVHL target influences the phenotypic expression of VHL disease.

Blotting, Northern↗
PubMed2002

Multiplex high-throughput solid-phase minisequencing by capillary electrophoresis and liquid core waveguide fluorescence detection.

Minisequencing, solid-phase single-nucleotide primer extension reaction, is a robust method for performing multiplex single-nucleotide polymorphism (SNP) analysis. We have combined this technology with capillary gel electrophoresis in a multicapillary format, using liquid core waveguide (LCW) fluorescence detection. Polymerase chain reaction (PCR) amplification of multiple DNA targets is performed with one primer for each target biotinylated. Separation of the complementary strands, minisequencing and washing steps are carried out using streptavidin-coated magnetic beads. Dideoxynucleotides analogues labelled with different fluorophores are used for the extension of the minisequencing primers. The extended oligonucleotides, the length of which defines the position on the target and the color the identity of the polymorphism, are then separated in a gel-filled array of capillaries, coated on the outside with a layer of a fluoropolymer to provide the liquid core waveguide characteristics. The technology has a potential for extremely high throughputs when a combination of multiplex PCR-minisequencing is used together with a large array of capillaries, four-color detection and high-speed separation.

DNA↗
PubMed2001

High-throughput development and characterization of a genomewide collection of gene-based single nucleotide polymorphism markers by chip-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

We describe here a system for the rapid identification, assay development, and characterization of gene-based single nucleotide polymorphisms (SNPs). This system couples informatics tools that mine candidate SNPs from public expressed sequence tag resources and automatically designs assay reagents with detection by a chip-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry platform. As a proof of concept of this system, a genomewide collection of reagents for 9,115 gene-based SNP genetic markers was rapidly developed and validated. These data provide preliminary insights into patterns of polymorphism in a genomewide collection of gene-based polymorphisms.

Alleles↗
PubMed2005

PPC: an algorithm for accurate estimation of SNP allele frequencies in small equimolar pools of DNA using data from high density microarrays.

Robust estimation of allele frequencies in pools of DNA has the potential to reduce genotyping costs and/or increase the number of individuals contributing to a study where hundreds of thousands of genetic markers need to be genotyped in very large populations sample sets, such as genome wide association studies. In order to make accurate allele frequency estimations from pooled samples a correction for unequal allele representation must be applied. We have developed the polynomial based probe specific correction (PPC) which is a novel correction algorithm for accurate estimation of allele frequencies in data from high-density microarrays. This algorithm was validated through comparison of allele frequencies from a set of 10 individually genotyped DNA's and frequencies estimated from pools of these 10 DNAs using GeneChip 10K Mapping Xba 131 arrays. Our results demonstrate that when using the PPC to correct for allelic biases the accuracy of the allele frequency estimates increases dramatically.

Algorithms↗
PubMed2006

Inferring population parameters from single-feature polymorphism data.

This article is concerned with a statistical modeling procedure to call single-feature polymorphisms from microarray experiments. We use this new type of polymorphism data to estimate the mutation and recombination parameters in a population. The mutation parameter can be estimated via the number of single-feature polymorphisms called in the sample. For the recombination parameter, a two-feature sampling distribution is derived in a way analogous to that for the two-locus sampling distribution with SNP data. The approximate-likelihood approach using the two-feature sampling distribution is examined and found to work well. A coalescent simulation study is used to investigate the accuracy and robustness of our method. Our approach allows the utilization of single-feature polymorphism data for inference in population genetics.

Arabidopsis↗
PubMed2006

Elucidating the murine brain transcriptional network in a segregating mouse population to identify core functional modules for obesity and diabetes.

Complex biological systems are best modeled as highly modular, fluid systems exhibiting a plasticity that allows them to adapt to a vast array of changing conditions. Here we highlight several novel network-based approaches to elucidate genetic networks underlying complex traits. These integrative genomic approaches combine large-scale genotypic and gene expression results in segregating mouse populations to reconstruct reliable genetic networks underlying complex traits such as disease or drug response. We apply these novel approaches to one of the most extensive surveys of gene expression studies ever undertaken in whole brain in a segregating mouse population. More than 23,000 genes were monitored in whole brain samples from more than 300 mice derived from an F2 intercross population and genotyped at over 1200 SNP markers uniformly spread over the entire genome. We explore the topological properties of the brain transcriptional network and highlight different approaches to inferring causal associations among genes by integrating genotypic and expression data. We demonstrate the utility of these approaches by identifying and experimentally validating brain gene expression traits predicted to respond to a strong expression quantitative trait locus (eQTL) for the pituitary tumor-transforming 1 gene (Pttg1) that coincides with the physical location of this gene (a cis eQTL). We identify core functional modules making up the brain transcriptional network in mice that are coherent for core biological processes associated with metabolic disease traits including obesity and diabetes.

Animals↗
PubMed2003

High frequency of polymorphism Arg753Gln of the Toll-like receptor-2 gene detected by a novel allele-specific PCR.

The recently described family of Toll-like receptors (TLRs) plays a major role in innate immunity by mediating inflammatory reactions against a wide array of pathogens. TLR-2 is reported to interact with various bacterial partial structures including lipoproteins, peptidoglycan, and lipoteichoic acid. Two polymorphisms of the TLR-2 gene have recently been described: Arg753Gln, correlated with the incidence of sepsis in a white population, and Arg677Trp, correlated with the incidence of lepromatous leprosy in an Asian population. Both polymorphisms, when inserted into expression vectors encoding for human TLR-2, reduced stimulation of Chinese hamster ovary cells by synthetic lipopeptides. We furthermore developed a rapid and inexpensive method for the detection of both single nucleotide polymorphisms based on restriction fragment length polymorphism. While no individuals carrying the Arg677Trp SNP were identified in a large group of whites, 9.4% of the study population were found to be heterozygous for the Arg753Gln polymorphism. This ratio is significantly higher than previously reported, and therefore detection of this polymorphism among patients may yield important information for the assessment of risk profiles regarding susceptibility to bacterial infections.

Alleles↗
PubMed2005

The genes encoding for D4Z4 binding proteins HMGB2, YY1, NCL, and MYOD1 are excluded as candidate genes for FSHD1B.

Facioscapulohumeral muscular dystrophy is a disease of skeletal muscle, with symptoms including both facial and shoulder girdle weakness and progression to involve the pelvic girdle and extremities in the majority of cases. For most cases of FSHD, the molecular basis of the disease can be identified as a partial deletion of the D4Z4 repeat array on the end of the long arm of chromosome 4. However, in up to 5% of FSHD families there is no linkage to 4q35. These cases are designated as FSHD1B. Proteins have been identified that bind to the D4Z4 repeats of chromosome 4q35. The genes encoding D4Z4 binding proteins YY1, HMGB2, NCL, and MYOD1 were investigated as candidate genes for FSHD1B. Coding sequences and promoter region were analyzed for HMBG2 and no sequence variations were detected. For YY1, all five exons were analyzed and a polymorphism was detected in both the unaffected and affected populations. In nucleolin (NCL), several SNPs were identified, including a SNP causing the non-synonymous change P515H; however, all polymorphisms either occurred in control samples or were previously reported. A novel polymorphism was also detected in MYOD1, but did not represent a disease-specific variation. These results suggest that HMBG2, YY1, NCL, and MYOD1 are unlikely to represent the genes responsible for FSHD in these families.

Chromatography, High Pressure Liquid↗