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Genome-wide detection of allelic imbalance using human SNPs and high-density DNA arrays.

Most human cancers are characterized by genomic instability, the accumulation of multiple genetic alterations and allelic imbalance throughout the genome. Loss of heterozygosity (LOH) is a common form of allelic imbalance and the detection of LOH has been used to identify genomic regions that harbor tumor suppressor genes and to characterize tumor stages and progression. Here we describe the use of high-density oligonucleotide arrays for genome-wide scans for LOH and allelic imbalance in human tumors. The arrays contain redundant sets of probes for 600 genetic loci that are distributed across all human chromosomes. The arrays were used to detect allelic imbalance in two types of human tumors, and a subset of the results was confirmed using conventional gel-based methods. We also tested the ability to study heterogeneous cell populations and found that allelic imbalance can be detected in the presence of a substantial background of normal cells. The detection of LOH and other chromosomal changes using large numbers of single nucleotide polymorphism (SNP) markers should enable identification of patterns of allelic imbalance with potential prognostic and diagnostic utility.

Adenocarcinoma↗

The interleukin 1 gene cluster contains a major susceptibility locus for ankylosing spondylitis.

Ankylosing spondylitis (AS) is a common and highly heritable inflammatory arthropathy. Although the gene HLA-B27 is almost essential for the inheritance of the condition, it alone is not sufficient to explain the pattern of familial recurrence of the disease. We have previously demonstrated suggestive linkage of AS to chromosome 2q13, a region containing the interleukin 1 (IL-1) family gene cluster, which includes several strong candidates for involvement in the disease. In the current study, we describe strong association and transmission of IL-1 family gene cluster single-nucleotide polymorphisms and haplotypes with AS.

Chromosomes, Human, Pair 2↗

Haplotypes of G protein-coupled receptor 154 are associated with childhood allergy and asthma.

RATIONALE: Allergic diseases are influenced by both genes and environment. A 70-kb haplotype block in the G protein-coupled receptor for asthma susceptibility gene (GPR154; alias GPRA) on chromosome 7p was recently identified to influence susceptibility to asthma and elevated total serum IgE levels in adults. OBJECTIVES: To assess the impact of GPR154 on childhood allergic disease, including allergic sensitization, asthma, and rhinoconjunctivitis, in study populations with diverse environmental backgrounds. METHODS: We studied farm children, Steiner school children, and two reference groups from five Western European countries in the cross-sectional PARSIFAL (Prevention of Allergy Risk factors for Sensitization In children related to Farming and Anthroposophic Lifestyle) study and a sample of children from the Swedish birth cohort study BAMSE. DNA samples from 3,113 PARSIFAL and 800 BAMSE children were genotyped for 7 GPR154 polymorphisms and haplotypes were inferred. The proportions of alleles and haplotypes (H1-H7) were compared in affected children with their healthy counterparts. RESULTS: Data indicate a global association of the haplotype block to sensitization (allergen-specific serum IgE > or = 0.35 kU/L, p = 0.022), with significant haplotype-specific associations for H1, H5, and H6. Haplotypes H1 and H5 were also significantly associated with childhood allergic asthma (p = 0.045 and p = 0.023, respectively), and H5 to asthma regardless of sensitization. A broader involvement of GPR154 in allergic diseases was further supported in allergic rhinoconjunctivitis (H3: p = 0.046). The associated haplotypes could be allocated into risk (H5/H6) and nonrisk (H1/H3) groups, a pattern supported by allelic association of single nucleotide polymorphisms (SNPs) rs324384 and rs324396. CONCLUSIONS: Our results indicate that polymorphisms and haplotypes in the haplotype block of GPR154 are associated with asthma, rhinoconjunctivitis, and sensitization in European children.

Adolescent↗

Single nucleotide polymorphisms and disease gene mapping.

Single nucleotide polymorphisms are the most important and basic form of variation in the genome, and they are responsible for genetic effects that produce susceptibility to most autoimmune diseases. The rapid development of databases containing very large numbers of single nucleotide polymorphisms, and the characterization of haplotypes and patterns of linkage disequilibrium throughout the genome, provide a unique opportunity to advance association strategies in common disease rapidly over the next few years. Only the careful use of these strategies and a clear understanding of their statistical limits will allow novel genetic determinants for many of the common autoimmune diseases to be determined.

Autoimmune Diseases↗

Contrasting patterns of X-linked and autosomal nucleotide variation in Drosophila melanogaster and Drosophila simulans.

Surveys of molecular variation in Drosophila melanogaster and Drosophila simulans have suggested that diversity outside of Africa is a subset of that within Africa. It has been argued that reduced levels of diversity in non-African populations reflect a population bottleneck, adaptation to temperate climates, or both. Here, I summarize the available single-nucleotide polymorphism data for both species. A simple "out of Africa" bottleneck scenario is consistent with geographic patterns for loci on the X chromosome but not with loci on the autosomes. Interestingly, there is a trend toward lower nucleotide diversity on the X chromosome relative to autosomes in non-African populations of D. melanogaster, but the opposite trend is seen in African populations. In African populations, autosomal inversion polymorphisms in D. melanogaster may contribute to reduced autosome diversity relative to the X chromosome. To elucidate the role that selection might play in shaping patterns of variability, I present a summary of within- and between-species patterns of synonymous and replacement variation in both species. Overall, D. melanogaster autosomes harbor an excess of amino acid replacement polymorphisms relative to D. simulans. Interestingly, range expansion from Africa appears to have had little effect on synonymous-to-replacement polymorphism ratios.

Animals↗

The canine Phosducin gene: characterization of the exon-intron structure and exclusion as a candidate gene for generalized progressive retinal atrophy in 11 dog breeds.

PURPOSE: The exon-intron structure of the canine Phosducin (PDC) gene was identified and the gene evaluated as a candidate for generalized progressive retinal atrophy (gPRA) in 20 dog breeds. METHODS: Intronic sequences of the PDC gene were analyzed after amplification using polymerase chain reaction (PCR) and following sequencing from clones isolated from a canine genomic library. Mutation screening was performed by PCR with single strand conformation polymorphism (SSCP) analysis. Conspicuous banding patterns were analyzed via sequence analyses to detect the underlying nucleotide variations. RESULTS: No polymorphisms were identified after PCR-SSCP analysis within the entire coding region of the PDC gene. A 3 bp deletion in intron intervening sequence (IVS) 3 (position -16 to -18) was observed in 9 breeds, a T->A transversion (position IVS3 -63) in 10 breeds and an A->T transversion (position IVS3 -64) in 2 dog breeds. CONCLUSIONS PDC was excluded as a candidate gene for autosomal recessively (ar) transmitted gPRA in 11 of the 20 dog breeds investigated.

Animals↗

A multilocus sequence survey in Arabidopsis thaliana reveals a genome-wide departure from a neutral model of DNA sequence polymorphism.

The simultaneous analysis of multiple genomic loci is a powerful approach to studying the effects of population history and natural selection on patterns of genetic variation of a species. By surveying nucleotide sequence polymorphism at 334 randomly distributed genomic regions in 12 accessions of Arabidopsis thaliana, we examined whether a standard neutral model of nucleotide sequence polymorphism is consistent with observed data. The average nucleotide diversity was 0.0071 for total sites and 0.0083 for silent sites. Although levels of diversity are variable among loci, no correlation with local recombination rate was observed, but polymorphism levels were correlated for physically linked loci (<250 kb). We found that observed distributions of Tajima's D- and D/D(min)- and of Fu and Li's D-, D*- and F-, F*-statistics differed significantly from the expected distributions under a standard neutral model due to an excess of rare polymorphisms and high variances. Observed and expected distributions of Fay and Wu's H were not different, suggesting that demographic processes and not selection at multiple loci are responsible for the deviation from a neutral model. Maximum-likelihood comparisons of alternative demographic models like logistic population growth, glacial refugia, or past bottlenecks did not produce parameter estimates that were more consistent with observed patterns. However, exclusion of highly polymorphic "outlier loci" resulted in a fit to the logistic growth model. Various tests of neutrality revealed a set of candidate loci that may evolve under selection.

Arabidopsis↗

HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms.

UNLABELLED: Recent studies have revealed that linkage disequilibrium (LD) patterns vary across the human genome with some regions of high LD interspersed with regions of low LD. Such LD patterns make it possible to select a set of single nucleotide polymorphism (SNPs; tag SNPs) for genome-wide association studies. We have developed a suite of computer programs to analyze the block-like LD patterns and to select the corresponding tag SNPs. Compared to other programs for haplotype block partitioning and tag SNP selection, our program has several notable features. First, the dynamic programming algorithms implemented are guaranteed to find the block partition with minimum number of tag SNPs for the given criteria of blocks and tag SNPs. Second, both haplotype data and genotype data from unrelated individuals and/or from general pedigrees can be analyzed. Third, several existing measures/criteria for haplotype block partitioning and tag SNP selection have been implemented in the program. Finally, the programs provide flexibility to include specific SNPs (e.g. non-synonymous SNPs) as tag SNPs. AVAILABILITY: The HapBlock program and its supplemental documents can be downloaded from the website http://www.cmb.usc.edu/~msms/HapBlock.

Algorithms↗

No abnormalities of reg1 alpha and reg1 beta gene associated with diabetes mellitus.

In order to investigate whether there would be any association between abnormalities of either reg1 alpha or reg1 beta gene and diabetes mellitus in man, these two genes were analyzed in 42 patients with type 1 diabetes mellitus, 12 with fibrocalculous pancreatopathy, 37 with type 2 diabetes mellitus, and 22 normal controls, by PCR-SSCP analysis and nucleotide sequencing technique. Polymorphism in the reg1 alpha gene resulted in three mobility patterns in the PCR-SSCP analysis, due to nucleotide constituents at position -10 before exon 1 being either C/C, T/C or T/T. These three mobility patterns were observed in every group of subjects. The analysis of reg1 beta gene showed nucleotide substitutions in exon 4 in one patient, exon 5 in another patient with type 1 diabetes, and in exon 4 and intron 5 in one patient with fibrocalculous pancreatopathy. The nucleotide substitutions in exon 4 in the patient with type 1 diabetes and that with fibrocalculous pancreatopathy occurred at codons 103 and 84 while that in exon 5 in the patient with type 1 diabetes occurred at codon 141, changing the codons from CAT to CAC, GTG to GCG, and ACT to AAT and resulting in H103H silent, V84A and T141N missense mutations, respectively. In conclusion, using PCR-SSCP and nucleotide sequence analyses, we did not find any association between abnormalities of either reg1 alpha or reg1 beta gene with any type of diabetes studied.

Adult↗

Variations in the core region of hepatitis C virus genomes in patients with chronic hepatitis.

In each infected patient, the population of hepatitis C virus is composed of quasispecies that differ in their nucleotide sequences. Among regions in hepatitis C virus genomes, nucleotide sequences of the hypervariable region have been shown to change quickly during the course of infection. It is not known, however, whether these variations exist in the core region that has recently been suggested to contain human lymphocyte antigen class 1 restricted sites for cytotoxic T cell recognition. To clarify this, RNA was extracted from the plasma of four patients with chronic hepatitis C. After cDNA synthesis, DNA fragments that contain the core region were amplified by the polymerase chain reaction and the diversity of the core region was analyzed by the single strand conformation polymorphism analysis. Using this method, single or multiple DNA bands were observed in each patient, and representative bands showed different nucleotide sequences. Comparison of single strand conformation polymorphism patterns revealed that the population of quasispecies changed during the course of chronic infection. These changes were more remarkable in patients with high serum alanine aminotransferase levels than those with low serum alanine aminotransferase levels. Thus, sequential variations exist in the core region of hepatitis C virus in same individuals, and the population of quasispecies as determined by the sequence of the core region changes during the course of infection, which might be related to cytopathic effects of hepatitis C virus.

Alanine Transaminase↗

The canine HMGA1.

Due to the emerging advantages of numerous canine diseases as a genetic model for their human orthologs, the dog could join the mouse as the species of choice to unravel genetic mechanisms, e.g. of cancer predisposition, development and progression. However, precondition for such studies is the characterisation of the corresponding canine genes. Human and murine HMGA1 non-histone proteins participate in a wide variety of cellular processes including regulation of inducible gene transcription, integration of retroviruses into chromosomes, and the induction of neoplastic transformation and promotion of metastatic progression of cancer cells. Chromosomal aberrations affecting the human HMGA1 gene at 6p21 were described in several tumours like pulmonary chondroid hamartomas, uterine leiomyomas, follicular thyroid adenomas and others. Over-expression of the proteins of HMGA1 is characteristic for various malignant tumours suggesting a relation between high titer of the protein and the neoplastic phenotype. In this study, we characterised the molecular structure of the canine HMGA1 cDNA, its splice variants and predicted proteins HMGA1a and HMGA1b. Furthermore, we compared the coding sequence(s) (CDS) of both splice variants for 12 different breeds, screened them for single nucleotide polymorphisms (SNPs) and characterised a basic expression pattern.

Alternative Splicing↗

Unexpected beta2-microglobulin sequence diversity in individual rainbow trout.

For mammals beta2-microglobulin (beta2m), the light chain of major histocompatibility complex (MHC) class I molecules, is invariant (or highly conserved) and is encoded by a single gene unlinked to the MHC. We find that beta2m of a salmonid fish, the rainbow trout (Oncorhynchus mykiss), does not conform to the mammalian paradigm. Ten of 12 randomly selected beta2m cDNA clones from an individual fish have different nucleotide sequences. A complex restriction fragment length polymorphism pattern is observed with rainbow trout, suggesting multiple beta2m genes in the genome, in excess of the two genes expected from the ancestral salmonid tetraploidy. Additional duplication and diversification of the beta2m genes might have occurred subsequently. Variation in the beta2m cDNA sequences is mainly at sites that do not perturb the structure of the mature beta2m protein, showing that the observed diversity of the trout beta2m genes is not primarily a result of pathogen selection.

Amino Acid Sequence↗

Polymorphisms in xenobiotic metabolism genes and autism.

Autism is a neurodevelopmental syndrome defined by deficits in social reciprocity and communication and by unusual repetitive behaviors. Although there is an underlying genetic predisposition, the etiology of autism is currently unknown. A recent increase in prevalence suggests that genetically determined vulnerability to environmental exposure might contribute to the causation of autism. We performed family-based association studies of polymorphisms in metal-regulatory transcription factor 1(MTF1), a multispecific organic anion transporter (ABCC1), proton-coupled divalent metal ion transporters (SLC11A3 and SLC11A2), paraoxonase 1 (PON1), and glutathione S-transferase (GSTP1) genes in 196 autistic disorder families. There was deviation from the expected pattern of transmission for polymorphisms in MTF1 (Single nucleotide polymorphism database reference identification number, dbSNP rs3790625, P = .02) and divalent metal ion transporter SLC11A3 (dbSNP rs2304704, P = .07) genes. Although these results might represent chance finding, further investigations of genetic variations of metal metabolism in autism are warranted.

Autistic Disorder↗

Biochip technologies in cancer research.

Development of high-throughput 'biochip' technologies has dramatically enhanced our ability to study biology and explore the molecular basis of disease. Biochips enable massively parallel molecular analyses to be carried out in a miniaturized format with a very high throughput. This review will highlight applications of the various biochip technologies in cancer research, including analysis of 1) disease predisposition by using single-nucleotide polymorphism (SNP) microarrays, 2) global gene expression patterns by cDNA microarrays, 3) concentrations, functional activities or interactions of proteins with proteomic biochips, and 4) cell types or tissues as well as clinical endpoints associated with molecular targets by using tissue microarrays. One can predict that individual cancer risks can, in the future, be estimated accurately by a microarray profile of multiple SNPs in critical genes. Diagnostics of cancer will be facilitated by biochip readout of activity levels of thousands of genes and proteins. Biochip diagnostics coupled with informatics solutions will form the basis of individualized treatment decisions for cancer patients.

Computational Biology↗

Introduction: transmission/disequilibrium test/association group. .

A range of study designs, using unrelated or family controls, were used to investigate the pattern of association with disease of single nucleotide polymorphisms (SNPs) within candidate gene 1 (simulated data). Strong evidence of disease association at the functional locus was detected using all study designs, and in the "general" but not the "isolated" population the functional polymorphism displayed considerably higher association than surrounding SNPs. There was much variation in the strength of association of SNPs with disease, up to 70% of which was explained by SNP allele frequency and distance from the functional polymorphism. Some common polymorphisms very close to the functional locus however showed no association with disease. Analysis of short haplotypes of SNPs reduced but did not totally remove this feature.

Genetic Markers↗

[Biomarker in gynecologic malignancies].

We selected ovarian cancer as being the most representative of the gynecologic malignancies since it has the largest number of tumor markers now in clinical use. First, variety of serum tumor markers were developed and regularly used to detect the existence of ovarian cancer and its stage. These markers of monoclonal antibodies could detect three different classes of cell surface antigen. CA 125, CA 130, CA 602 are antibodies raised against the core protein of the proteoglycan molecule, whereas CA 19-9, CA 50, KMO-1 and CA 72-4, STN, CA 546 are antibodies against a different portion of the glycosaminoglycan chain from the core protein. These markers, when combined with another group of tumor markers for discriminating the variety of pathological types of ovarian cancer, might have the potential to provide a better predictive value. Second, biomarkers for the detection of early-stage ovarian cancer are urgently needed and developed also in gynecologic tumors. These include a ovarian cancer-specific proteomic patterns generated by mass spectroscopy and single nucleotide polymorphism (SNP) digital analysis combined with assessment of allelic imbalance. Third, for monitoring the effect of treatment with cytostatic drugs, various types of biomarkers could be used as surrogate markers for the treatment depending on the mechanism of the effects of the drug used. For treatment with Bryostatin, a strong protein kinase C (PKC) stimulator, PKC activity promises to be an effective marker. For the trials with bevacizumab, anti-VEGF antibody, VEGF and its associated bFGF, CD-31, and thrombospondin-1 (TSP-1), are leading candidates for monitoring markers.

Antigens, Tumor-Associated, Carbohydrate↗

Cyclin D1 gene polymorphism is associated with an increased risk of urinary bladder cancer.

Cyclin D1 is believed to play an important role in the genesis and/or progression of transitional cell cancer (TCC) of the urinary bladder. Cyclin D1 gene (CCND1) mRNA is alternatively spliced to produce two transcripts, and the splicing pattern may be modulated by a G to A single nucleotide polymorphism within the splice donor site of exon 4. This study was conducted to explore the association between the polymorphism and the susceptibility to and disease status of TCC of the bladder in 222 cases and 317 native Japanese controls. The relationship between the CCND1 polymorphism and the mRNA splicing pattern in TCC cells was evaluated by semi-quantitative reverse-transcription PCR. The CCND1 A allele was more frequently observed in the TCC group than the control group (P = 0.032) with a significant difference in the genotype frequency between the two groups (P = 0.029). The AA genotype was associated with a significantly higher risk of TCC compared with the AG+GG genotypes (adjusted odds ratio (aOR) = 1.76, 95% confidence interval (CI) = 1.09-2.84, P = 0.022). This association was observed more significantly in nonsmoking cases (aOR = 2.53; 95% CI = 1.28-4.51, P = 0.008). Looking at tumor grade, the presence of the A allele was associated with higher grade (= grade 3) tumors with a gene dosage effect (aOR = 1.77, CI = 1.16-2.69, P = 0.008). In tumor stage, although not significant, the AA + AG genotypes tended to be more frequently observed in cases with T1-4 tumors than those with Ta tumors (aOR = 1.94, 95% CI = 0.98-3.82, P = 0.057). The genotype seemed to influence the two alternatively spliced forms of the CCND1 mRNA because the ratio of the CCND1 transcript-b/transcript-a was significantly higher in cases with the AA genotype compared with those with the AG + GG genotypes. These data suggest that the CCND1 variant A allele may be associated with an increased risk of TCC of the bladder, especially in men without a history of smoking, and it may also have an effect on its disease status.

Age Factors↗

Evidence for a large-scale population structure of Arabidopsis thaliana from genome-wide single nucleotide polymorphism markers.

Population-based methods for the genetic mapping of adaptive traits and the analysis of natural selection require that the population structure and demographic history of a species are taken into account. We characterized geographic patterns of genetic variation in the model plant Arabidopsis thaliana by genotyping 115 genome-wide single nucleotide polymorphism (SNP) markers in 351 accessions from the whole species range using a matrix-assisted laser desorption/ionization time-of-flight assay, and by sequencing of nine unlinked short genomic regions in a subset of 64 accessions. The observed frequency distribution of SNPs is not consistent with a constant-size neutral model of sequence polymorphism due to an excess of rare polymorphisms. There is evidence for a significant population structure as indicated by differences in genetic diversity between geographic regions. Accessions from Central Asia have a low level of polymorphism and an increased level of genome-wide linkage disequilibrium (LD) relative to accessions from the Iberian Peninsula and Central Europe. Cluster analysis with the structure program grouped Eurasian accessions into K = 6 clusters. Accessions from the Iberian Peninsula and from Central Asia constitute distinct populations, whereas Central and Eastern European accessions represent admixed populations in which genomes were reshuffled by historical recombination events. These patterns likely result from a rapid postglacial recolonization of Eurasia from glacial refugial populations. Our analyses suggest that mapping populations for association or LD mapping should be chosen from regional rather than a species-wide sample or identified genetically as sets of individuals with similar average genetic distances.

Arabidopsis↗