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PubMed2003

A new web-based data mining tool for the identification of candidate genes for human genetic disorders.

To identify the gene underlying a human genetic disorder can be difficult and time-consuming. Typically, positional data delimit a chromosomal region that contains between 20 and 200 genes. The choice then lies between sequencing large numbers of genes, or setting priorities by combining positional data with available expression and phenotype data, contained in different internet databases. This process of examining positional candidates for possible functional clues may be performed in many different ways, depending on the investigator's knowledge and experience. Here, we report on a new tool called the GeneSeeker, which gathers and combines positional data and expression/phenotypic data in an automated way from nine different web-based databases. This results in a quick overview of interesting candidate genes in the region of interest. The GeneSeeker system is built in a modular fashion allowing for easy addition or removal of databases if required. Databases are searched directly through the web, which obviates the need for data warehousing. In order to evaluate the GeneSeeker tool, we analysed syndromes with known genesis. For each of 10 syndromes the GeneSeeker programme generated a shortlist that contained a significantly reduced number of candidate genes from the critical region, yet still contained the causative gene. On average, a list of 163 genes based on position alone was reduced to a more manageable list of 22 genes based on position and expression or phenotype information. We are currently expanding the tool by adding other databases. The GeneSeeker is available via the web-interface (http://www.cmbi.kun.nl/GeneSeeker/).

Computational Biology↗
PubMed1995

The CEPH consortium linkage map of human chromosome 11.

The CEPH consortium framework map of chromosome 11 is presented. The map was generated from CEPH family DNAs with 181 probe/enzyme combinations contributed by 20 laboratories. Seventy-seven of the loci are defined by microsatellite polymorphisms that can be typed by the PCR. A total of 42 loci have been placed on the map with likelihood support of at least 1000:1. The female, male, and sex-average maps extend for 179.6, 110.8, and 145.3 cM, respectively. The largest interval on the sex-average map is less than 11 cM, and the average distance between uniquely placed loci is 4 cM. The genotypic data obtained for map construction have been used to identify the positions of crossovers on the chromosomes of CEPH family children, allowing the localization of new markers without computationally intensive likelihood models and providing a basis for efficient extension of the linkage map to higher resolution.

Adult↗
PubMed2004

Identification and mapping of cleistogamy genes in barley.

Cleistogamy is a closed type of flowering with ensured self-pollination and an important trait to study evolutionary development in flower organs, reproduction systems, gene flow, and disease control. Still, very limited information is available about the genetic control and regulatory mechanism of this trait in barley. In this work, from the eight crosses between cleistogamous and chasmogamous accessions, five crosses generated chasmogamous F1 plants and their F2 plants segregated as 3 chasmogamous:1 cleistogamous, whereas three crosses generated cleistogamous F1 plants, and their F2 plants segregated as 1 chasmogamous:3 cleistogamous. Although a single gene was responsible for the control of cleistogamy in these two groups of crosses, the direction of dominance was opposite, suggesting two genes, cly1 and Cly2, for the genetic control of cleistogamy in barley. Epistatic type of gene interaction between the two loci was detected. In the analysis of 99 recombinant inbred lines of 'Azumamugi' x 'Kanto Nakate Gold' and doubled haploid lines of 'Harrington' x 'Mikamo Golden', where in both crosses F1 was chasmogamous, the cly1 locus has been mapped on chromosome 2HL. Using the analysis of the F2 population of 'Misato Golden' and 'Satsuki Nijo' where F1 was cleistogamous, the Cly2 locus was mapped in the same region of chromosome 2HL. Because the cly1 and Cly2 loci were mapped in the same region in these three different mapping populations, it was concluded that the expression of cleistogamy is under the control of two tightly linked genes or different alleles of the same gene.

Chromosome Mapping↗
PubMed2003

Imprinted methylation profiles for proximal mouse chromosomes 11 and 7 as revealed by methylation-sensitive representational difference analysis.

Proximal mouse Chromosome (Chr) 11 shares regions of orthology with the candidate gene region for the imprinting growth disorder Silver-Russell syndrome (SRS) on human Chr 7p. It has previously been shown that mice with two maternal or two paternal copies (duplications, Dp) of proximal Chr 11 exhibit reciprocal growth phenotypes. Those with two paternal copies show fetal and placental overgrowth, while those with two maternal copies are growth retarded. The growth retardation observed in the latter is reminiscent of the intrauterine growth restriction (IUGR) observed in SRS patients with maternal uniparental disomy for Chr 7 (mUPD7). We have carried out a methylation-sensitive representational difference analysis (Me-RDA) screen to look for regions of differential methylation (DMRs) associated with imprinted genes. For these experiments, we have used mouse embryos with uniparental duplications of Chrs 11 and 7 proximal to the breakpoint of the reciprocal translocation T(7;11)40Ad. Two previously known imprinted loci associated with paternal allele hypomethylation were recovered on proximal mouse Chr 11, U2af1-rs1 and Meg1/Grb10. These two genes map 15 cM apart, so it seems likely that they are within separate imprinted domains that do not contain additional DMRs. The known imprinted gene Peg3, located on mouse proximal Chr 7, was also detected in our screen. The finding that Peg3 was differentially methylated in embryos with uniparental inheritance of proximal Chr 7 confirms that Peg3 is located proximal to the breakpoint of T40Ad in G-band 7A2. Because GRB10 has previously been reported to be a candidate gene for SRS, we analysed 22 patients for epimutations of the GRB10 differentially methylated region that could lead to the altered expression of this gene. No such mutations were found.

Aneuploidy↗
PubMed2025

eccDNABase: A Comprehensive and High-Quality Database for Extrachromosomal Circular DNA.

Extrachromosomal circular DNA (eccDNA) refers to small, circular DNA molecules that originate from chromosomal sequences and are prevalent across nearly all eukaryotic organisms. In humans, eccDNAs are widely distributed in normal tissues, cancerous tissues, and body fluids, where they play important roles in tumorigenesis and are often associated with poor clinical outcomes. Given their biological and clinical significance, a well-integrated and high-quality database is essential for advancing eccDNA-related research. To address this need, we developed eccDNABase, a comprehensive and curated resource for browsing, searching, and analyzing eccDNAs across multiple species. The database systematically catalogs eccDNA-disease associations from diverse tissues and organisms. Currently, eccDNABase contains 1,875,452 eccDNA-disease associations, encompassing 8,398 ecDNA entries across nine species, 63 diseases, and healthy individuals. Each entry provides detailed information, including eccDNA ID, type, chromosomal localization, species, tissue or cell line source, disease name and Disease Ontology ID, overlap length and percentage with genes, oncogene overlap, detection method, and links to literature and source databases. Given its extensive and curated datasets, eccDNABase serves as a valuable resource for both basic and translational research, offering deeper insights into the role of eccDNA in health and disease. The database is publicly accessible at http://cgga.org.cn/eccDNABase/.

Humans↗
PubMed2001

Human genetics on the web.

Use of the World Wide Web ("the web") and our knowledge of human genetics are both currently expanding rapidly. By allowing swift, universal, and free access to data, the web has already played an important role in human genetics research. It has also begun to change the way that information is shared in clinical genetics and, to a lesser degree, affect how education in human genetics occurs. There are scores of web sites helpful to those interested in either research or clinical aspects of human genetics. The web and related communication technologies should continue to play increasingly important roles in human genetics.

Databases, Genetic↗
PubMed2005

Linkage disequilibrium maps and association mapping.

The causal chain between a gene and its effect on disease susceptibility cannot be understood until the effect has been localized in the DNA sequence. Recently, polymorphisms incorporated in the HapMap Project have made linkage disequilibrium (LD) the most powerful tool for localization. The genetics of LD, the maps and databases that it provides, and their use for association mapping, as well as alternative methods for gene localization, are briefly described.

Databases, Genetic↗
PubMed2002

Interrogating a high-density SNP map for signatures of natural selection.

Identifying genomic regions that have been targets of natural selection remains one of the most important and challenging areas of research in genetics. To this end, we report an analysis of 26,530 single nucleotide polymorphisms (SNPs) with allele frequencies that were determined in three populations. Specifically, we calculated a measure of genetic differentiation, F(ST), for each locus and examined its distribution at the level of the genome, the chromosome, and individual genes. Through a variety of analyses, we have found statistically significant evidence supporting the hypothesis that selection has influenced extant patterns of human genetic variation. Importantly, by contrasting the F(ST) of individual SNPs to the empirical genome-wide distribution of F(ST), our results are not confounded by tenuous assumptions of population demographic history. Furthermore, we have identified 174 candidate genes with distribution of genetic variation that indicates that they have been targets of selection. Our work provides a first generation natural selection map of the human genome and provides compelling evidence that selection has shaped extant patterns of human genomic variation.

Databases, Genetic↗
PubMed2005

Inherited disorder phenotypes: controlled annotation and statistical analysis for knowledge mining from gene lists.

BACKGROUND: Analysis of inherited diseases and their associated phenotypes is of great importance to gain knowledge of underlying genetic interactions and could ultimately give clinically useful insights into disease processes, including complex diseases influenced by multiple genetic loci. Nevertheless, to date few computational contributions have been proposed for this purpose, mainly due to lack of controlled clinical information easily accessible and structured for computational genome-wise analyses. To allow performing phenotype analyses of inherited disorder related genes we implemented new original modules within GFINDer http://www.bioinformatics.polimi.it/GFINDer/, a Web system we previously developed that dynamically aggregates functional annotations of user uploaded gene lists and allows performing their statistical analysis and mining. RESULTS: New GFINDer modules allow annotating large numbers of user classified biomolecular sequence identifiers with morbidity and clinical information, classifying them according to genetic disease phenotypes and their locations of occurrence, and statistically analyzing the obtained classifications. To achieve this we exploited, normalized and structured the information present in textual form in the Clinical Synopsis sections of the Online Mendelian Inheritance in Man (OMIM) databank. Such valuable information delineates numerous signs and symptoms accompanying many genetic diseases and it is divided into phenotype location categories, either by organ system or type of finding. CONCLUSION: Supporting phenotype analyses of inherited diseases and biomolecular functional evaluations, GFINDer facilitates a genomic approach to the understanding of fundamental biological processes and complex cellular mechanisms underlying patho-physiological phenotypes.

Computational Biology↗
PubMed2000

Atlas of genetics and cytogenetics in oncology and haematology, an interactive database.

The 'Atlas of Genetics and Cytogenetics in Oncology and Haematology' (http://www.infobiogen.fr/services/chromcancer ) is a database devoted to chromosome abnormalities in cancer, cancer-prone diseases and genes involved in cancer. Information presented in each page is concise and updated. This database is made for and by: cytogeneticists, molecular biologists, clinicians in oncology and in haematology, and pathologists, who are encouraged to contribute.

Chromosome Aberrations↗
PubMed2006

FlyBase: anatomical data, images and queries.

FlyBase (http://flybase.org/) is a database of genetic and genomic data on the model organism Drosophila melanogaster and the entire insect family Drosophilidae. The FlyBase Consortium curates, annotates, integrates and maintains a wide variety of data within this domain. Access to the data is provided through graphical and textual user interfaces tailored to particular types of data. FlyBase data types include maps at the cytological, genetic and sequence levels, genes and alleles including their products, functions, expression patterns, mutant phenotypes and genetic interactions as well as aberrant chromosomes, annotated genomes, genetic stock collections, transposons, transgene constructs and insertions, anatomy and images, bibliographic data, and community contact information.

Animals↗
PubMed2005

Speeding disease gene discovery by sequence based candidate prioritization.

BACKGROUND: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is reduced by matching functional annotation to knowledge of the disease or phenotype in question. However, here we show that disease genes share patterns of sequence-based features that can provide a good basis for automatic prioritization of candidates by machine learning. RESULTS: We examined a variety of sequence-based features and found that for many of them there are significant differences between the sets of genes known to be involved in human hereditary disease and those not known to be involved in disease. We have created an automatic classifier called PROSPECTR based on those features using the alternating decision tree algorithm which ranks genes in the order of likelihood of involvement in disease. On average, PROSPECTR enriches lists for disease genes two-fold 77% of the time, five-fold 37% of the time and twenty-fold 11% of the time. CONCLUSION: PROSPECTR is a simple and effective way to identify genes involved in Mendelian and oligogenic disorders. It performs markedly better than the single existing sequence-based classifier on novel data. PROSPECTR could save investigators looking at large regions of interest time and effort by prioritizing positional candidate genes for mutation detection and case-control association studies.

Algorithms↗
PubMed2004

In silico mapping of quantitative trait loci in maize.

Quantitative trait loci (QTL) are most often detected through designed mapping experiments. An alternative approach is in silico mapping, whereby genes are detected using existing phenotypic and genomic databases. We explored the usefulness of in silico mapping via a mixed-model approach in maize (Zea mays L.). Specifically, our objective was to determine if the procedure gave results that were repeatable across populations. Multilocation data were obtained from the 1995-2002 hybrid testing program of Limagrain Genetics in Europe. Nine heterotic patterns comprised 22,774 single crosses. These single crosses were made from 1,266 inbreds that had data for 96 simple sequence repeat (SSR) markers. By a mixed-model approach, we estimated the general combining ability effects associated with marker alleles in each heterotic pattern. The numbers of marker loci with significant effects--37 for plant height, 24 for smut [Ustilago maydis (DC.) Cda.] resistance, and 44 for grain moisture--were consistent with previous results from designed mapping experiments. Each trait had many loci with small effects and few loci with large effects. For smut resistance, a marker in bin 8.05 on chromosome 8 had a significant effect in seven (out of a maximum of 18) instances. For this major QTL, the maximum effect of an allele substitution ranged from 5.4% to 41.9%, with an average of 22.0%. We conclude that in silico mapping via a mixed-model approach can detect associations that are repeatable across different populations. We speculate that in silico mapping will be more useful for gene discovery than for selection in plant breeding programs.

Analysis of Variance↗
PubMed2003

PAHdb 2003: what a locus-specific knowledgebase can do.

PAHdb, a legacy of and resource in genetics, is a relational locus-specific database (http://www.pahdb.mcgill.ca). It records and annotates both pathogenic alleles (n = 439, putative disease-causing) and benign alleles (n = 41, putative untranslated polymorphisms) at the human phenylalanine hydroxylase locus (symbol PAH). Human alleles named by nucleotide number (systematic names) and their trivial names receive unique identifier numbers. The annotated gDNA sequence for PAH is typical for mammalian genes. An annotated gDNA sequence is numbered so that cDNA and gDNA sites are interconvertable. A site map for PAHdb leads to a large array of secondary data (attributes): source of the allele (submitter, publication, or population); polymorphic haplotype background; and effect of the allele as predicted by molecular modeling on the phenylalanine hydroxylase enzyme (EC 1.14.16.1) or by in vitro expression analysis. The majority (63%) of the putative pathogenic PAH alleles are point mutations causing missense in translation of which few have a primary effect on PAH enzyme kinetics. Most apparently have a secondary effect on its function through misfolding, aggregation, and intracellular degradation of the protein. Some point mutations create new splice sites. A subset of primary PAH mutations that are tetrahydrobiopterin-responsive is highlighted on a Curators' Page. A clinical module describes the corresponding human clinical disorders (hyperphenylalaninemia [HPA] and phenylketonuria [PKU]), their inheritance, and their treatment. PAHdb contains data on the mouse gene (Pah) and on four orthologous mutant mouse models and their use (for example, in research on oral treatment of PKU with the enzyme phenylalanine ammonia lyase [EC 4.3.1.5]).

Animals↗
PubMed2004

Predicting drug clearance from recombinantly expressed CYPs: intersystem extrapolation factors.

1. Recombinantly expressed human cytochromes P450 (rhCYPs) have been underused for the prediction of human drug clearance (CL). 2. Differences in intrinsic activity (per unit CYP) between rhCYP and human liver enzymes complicate the issue and these discrepancies have not been investigated systematically. We define intersystem extrapolation factors (ISEFs) that allow the use of rhCYP data for the in vitro-in vivo extrapolation of human drug CL and the variance that is associated with interindividual variation of CYP abundance due to genetic and environmental effects. 3. A large database (n = 451) of metabolic stability data has been compiled and used to derive ISEFs for the most commonly used expression systems and CYP enzymes. 4. Statistical models were constructed for the ISEFs to determine major covariates in order to optimize experimental design to increase prediction accuracy. 5. Suggestions have been made for the conduct of future studies using rhCYP to predict human drug clearance.

Algorithms↗