Abstract: The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they contribute to oncogenesis or are coincidental and non-causative. We present a computational method for the prioritization of candidate (i) proto-oncogenes and (ii) tumour suppressor genes from oncogenomic experiments. We constructed computational classifiers using different combinations of sequence and functional data including sequence conservation, protein domains and interactions, and regulatory data. We found that these classifiers are able to distinguish between known cancer genes and other human genes. Furthermore, the classifiers also discriminate candidate cancer genes from a recent mutational screen from other human genes. We provide a web-based facility through which cancer biologists may access our results and we propose computational cancer gene classification as a useful method of prioritizing candidate cancer genes identified in oncogenomic studies.

Abstract: BACKGROUND: Protein-coding regions in a genome evolve by sequence divergence and gene gain and loss, altering the gene content of the organism. However, it is not well understood how this has given rise to the enormous diversity of metazoa present today. RESULTS: To obtain a global view of human genomic evolution, we quantify the divergence of proteins by functional category at different evolutionary distances from human. CONCLUSION: This analysis highlights some general systems-level characteristics of human evolution: regulatory processes, such as signal transducers, transcription factors and receptors, have a high degree of plasticity, while core processes, such as metabolism, transport and protein synthesis, are largely conserved. Additionally, this study reveals a dynamic picture of selective forces at short, medium and long evolutionary timescales. Certain functional categories, such as ’development’ and ’organogenesis’, exhibit temporal patterns of sequence divergence in eukaryotes relative to human. This framework for a grammar of human evolution supports previously postulated theories of robustness and evolvability.

Abstract: Understanding the mechanism of regulation of cancer genes and the constraints on their coding sequences is of fundamental importance in understanding the process of tumour development. Here we test the hypothesis that tumour suppressor genes and proto-oncogenes, due to their involvement in tumourigenesis, have distinct patterns of regulation and coding selective constraints compared to non-cancer genes. Indeed, we found significantly greater conservation in the promoter regions of proto-oncogenes, suggesting that these genes are more tightly regulated, i.e. they are more likely to contain a higher density of cis-regulatory elements. Furthermore, proto-oncogenes appear to be preferentially targeted by microRNAs and have longer 3’ UTRs. In addition, proto-oncogene evolution appears to be highly constrained, compared to tumour suppressor genes and non-cancer genes. A number of these trends are confirmed in breast and colon cancer gene sets recently identified by mutational screening.

Abstract: The laboratory rat is one of the most extensively studied model organisms. Inbred laboratory rat strains originated from limited Rattus norvegicus founder populations, and the inherited genetic variation provides an excellent resource for the correlation of genotype to phenotype. Here, we report a survey of genetic variation based on almost 3 million newly identified SNPs. We obtained accurate and complete genotypes for a subset of 20,238 SNPs across 167 distinct inbred rat strains, two rat recombinant inbred panels and an F2 intercross. Using 81% of these SNPs, we constructed high-density genetic maps, creating a large dataset of fully characterized SNPs for disease gene mapping. Our data characterize the population structure and illustrate the degree of linkage disequilibrium. We provide a detailed SNP map and demonstrate its utility for mapping of quantitative trait loci. This community resource is openly available and augments the genetic tools for this workhorse of physiological studies.

Abstract: We report the generation and analysis of functional data from multiple, diverse experiments performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE Project. These data have been further integrated and augmented by a number of evolutionary and computational analyses. Together, our results advance the collective knowledge about human genome function in several major areas. First, our studies provide convincing evidence that the genome is pervasively transcribed, such that the majority of its bases can be found in primary transcripts, including non-protein-coding transcripts, and those that extensively overlap one another. Second, systematic examination of transcriptional regulation has yielded new understanding about transcription start sites, including their relationship to specific regulatory sequences and features of chromatin accessibility and histone modification. Third, a more sophisticated view of chromatin structure has emerged, including its inter-relationship with DNA replication and transcriptional regulation. Finally, integration of these new sources of information, in particular with respect to mammalian evolution based on inter- and intra-species sequence comparisons, has yielded new mechanistic and evolutionary insights concerning the functional landscape of the human genome. Together, these studies are defining a path for pursuit of a more comprehensive characterization of human genome function.

Abstract: The discovery of the genes involved in genetic diseases is a very important step towards the understanding of the nature of these diseases. In-lab identification is a difficult, time-consuming task, where computational methods can be very useful. In silico identification algorithms can be used as a guide in future studies. Previous works in this topic have not taken into account that no reliable sets of negative examples are available, as it is not possible to ensure that a given gene is not related to any genetic disease. In this paper, this feature of the nature of the problem is considered, and identification is approached as a partially supervised classification problem. In addition, we have performed a more specific method to identify disease genes by classifying, for the first time, genes causing dominant and recessive diseases independently. We base this separation on previous results that show that these two types of genes present differences in their sequence properties. In this paper, we have applied a new model averaging algorithm to the identification of human genes associated with both dominant and recessive Mendelian diseases.

Abstract: BACKGROUND: The role that chromosomal rearrangements might have played in the speciation processes that have separated the lineages of humans and chimpanzees has recently come into the spotlight. To date, however, results are contradictory. Here we revisit this issue by making use of the available human and chimpanzee genome sequence to study the relationship between chromosomal rearrangements and rates of DNA sequence evolution. RESULTS: Contrary to previous findings for this pair of species, we show that genes located in the rearranged chromosomes that differentiate the genomes of humans and chimpanzees, especially genes within rearrangements themselves, present lower divergence than genes elsewhere in the genome. Still, there are considerable differences between individual chromosomes. Chromosome 4, in particular, presents higher divergence in genes located within its rearrangement. CONCLUSION: A first conclusion of our analysis is that divergence is lower for genes located in rearranged chromosomes than for those in colinear chromosomes. We also report that non-coding regions within rearranged regions tend to have lower divergence than non-coding regions outside them.These results suggest an association between chromosomal rearrangements and lower non-coding divergence that has not been reported before, even if some chromosomes do not follow this trend and could be potentially associated with a speciation episode. In summary, without excluding it, our results suggest that chromosomal speciation has not been common along the human and chimpanzee lineage.

Abstract: Over 1600 mammalian genes are known to cause an inherited disorder, when subjected to one or more mutations. These disease genes represent a unique resource for the identification and quantification of relationships between phenotypic attributes of a disease and the molecular features of the associated disease genes, including their ascribed annotated functional classes and expression patterns. Such analyses can provide a more global perspective and a deeper understanding of the probable causes underlying human hereditary diseases. In this perspective and critical view of disease genomics, we present a comparative analysis of genes reported to cause inherited diseases in humans in terms of their causative effects on physiology, their genetics and inheritance modes, the functional processes they are involved in and their expression profiles across a wide spectrum of tissues. Our analysis reveals that there are more extensive correlations between these attributes of genetic disease genes than previously appreciated. For instance, the functional pattern of genes causing dominant and recessive diseases is markedly different. Also, the function of the genes and their expression correlate with the type of disease they cause when mutated. The results further indicate that a comparative genomics approach for the analysis of genes linked to human genetic diseases will facilitate the elucidation of the underlying molecular and cellular mechanisms.

Abstract: BACKGROUND: One of the main goals of cancer genetics is to identify the causative elements at the molecular level leading to cancer. RESULTS: We have conducted an analysis of a set of genes known to be involved in cancer in order to unveil their unique features that can assist towards the identification of new candidate cancer genes. CONCLUSION: We have detected key patterns in this group of genes in terms of the molecular function or the biological process in which they are involved as well as sequence properties. Based on these features we have developed an accurate Bayesian classification model with which human genes have been scored for their likelihood of involvement in cancer.

Abstract: Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most likely candidate disease genes from these gene sets. Here, we review seven independent computational disease gene prioritization methods, and then apply them in concert to the analysis of 9556 positional candidate genes for type 2 diabetes (T2D) and the related trait obesity. We generate and analyse a list of nine primary candidate genes for T2D genes and five for obesity. Two genes, LPL and BCKDHA, are common to these two sets. We also present a set of secondary candidates for T2D (94 genes) and for obesity (116 genes) with 58 genes in common to both diseases.

Abstract: BACKGROUND: Global analyses of human disease genes by computational methods have yielded important advances in the understanding of human diseases. Generally these studies have treated the group of disease genes uniformly, thus ignoring the type of disease-causing mutations (dominant or recessive). In this report we present a comprehensive study of the evolutionary history of autosomal disease genes separated by mode of inheritance. RESULTS: We examine differences in protein and coding sequence conservation between dominant and recessive human disease genes. Our analysis shows that disease genes affected by dominant mutations are more conserved than those affected by recessive mutations. This could be a consequence of the fact that recessive mutations remain hidden from selection while heterozygous. Furthermore, we employ functional annotation analysis and investigations into disease severity to support this hypothesis. CONCLUSION: This study elucidates important differences between dominantly- and recessively-acting disease genes in terms of protein and DNA sequence conservation, paralogy and essentiality. We propose that the division of disease genes by mode of inheritance will enhance both understanding of the disease process and prediction of candidate disease genes in the future.

Abstract: Disease-causing point mutations are assumed to act predominantly through subsequent individual changes in the amino acid sequence that impair the normal function of proteins. However, point mutations can have a more dramatic effect by altering the splicing pattern of the gene. Here, we describe an approach to estimate the overall importance of splicing mutations. This approach takes into account the complete set of genes known to be involved in disease and suggest that, contrary to current assumptions, many mutations causing disease may actually be affecting the splicing pattern of the genes.

Abstract: The BioCyc database collection is a set of 160 pathway/genome databases (PGDBs) for most eukaryotic and prokaryotic species whose genomes have been completely sequenced to date. Each PGDB in the BioCyc collection describes the genome and predicted metabolic network of a single organism, inferred from the MetaCyc database, which is a reference source on metabolic pathways from multiple organisms. In addition, each bacterial PGDB includes predicted operons for the corresponding species. The BioCyc collection provides a unique resource for computational systems biology, namely global and comparative analyses of genomes and metabolic networks, and a supplement to the BioCyc resource of curated PGDBs. The Omics viewer available through the BioCyc website allows scientists to visualize combinations of gene expression, proteomics and metabolomics data on the metabolic maps of these organisms. This paper discusses the computational methodology by which the BioCyc collection has been expanded, and presents an aggregate analysis of the collection that includes the range of number of pathways present in these organisms, and the most frequently observed pathways. We seek scientists to adopt and curate individual PGDBs within the BioCyc collection. Only by harnessing the expertise of many scientists we can hope to produce biological databases, which accurately reflect the depth and breadth of knowledge that the biomedical research community is producing.

Abstract: MOTIVATION: CoGenT++ is a data environment for computational research in comparative and functional genomics, designed to address issues of consistency, reproducibility, scalability and accessibility.Description: CoGenT++ facilitates the re-distribution of all fully sequenced and published genomes, storing information about species, gene names and protein sequences. We describe our scalable implementation of ProXSim, a continually updated all-against-all similarity database, which stores pairwise relationships between all genome sequences. Based on these similarities, derived databases are generated for gene fusions–AllFuse, putative orthologs–OFAM, protein families–TRIBES, phylogenetic profiles–ProfUse and phylogenetic trees. Extensions based on the CoGenT++ environment include disease gene prediction, pattern discovery, automated domain detection, genome annotation and ancestral reconstruction.Conclusion: CoGenT++ provides a comprehensive environment for computational genomics, accessible primarily for large-scale analyses as well as manual browsing.

Abstract: Sequence analysis of the group of proteins known to be associated with hereditary diseases allows the detection of key distinctive features shared within this group. The disease proteins are characterized by greater length of their amino acid sequence, a broader phylogenetic extent, and specific conservation and paralogy profiles compared with all human proteins. This unique property pattern provides insights into the global nature of hereditary diseases and moreover can be used to predict novel disease genes. We have developed a computational method that allows the detection of genes likely to be involved in hereditary disease in the human genome. The probability score assignments for the human genome are accessible at http://maine.ebi. ac.uk:8000/services/dgp.

Abstract: By the end of 2002, we witnessed the landmark submission of the 100th complete genome sequence in the databases. An overview of these genomes reveals certain interesting trends and provides valuable insights into possible future developments.

Abstract: Mutations in GJB1, GJB2, GJB3 and GJB6 are involved in hearing impairment. GJB2, GJB3 and GJB6 are also mutated in patients with hyperproliferative skin disorders. The human GJB4 gene has been deduced in silico and a mutation in a family with erythrokeratodermia variabilis has been reported. We describe here the analysis of the GJB4 gene in hearing impairment patients and control subjects. We have identified a common (4%) frameshift mutation (154del4) in GJB4 in both affected and hearing subjects, one patient being homozygous for the mutation. We have also detected five amino acid variants (R103C, R124Q, R160C, C169W and E204A) in individuals that have not skin disorders. While mutation 154del4 is not associated with hearing impairment the involvement of some of the amino acid variants detected here is uncertain. These GJB4 variants should help to define the putative role of connexin 30.3 in both skin disorders and hearing impairment.

Abstract: Gap junctions are important structures in cell-to-cell communication. Connexins, the protein units of gap junctions, are involved in several human disorders. Mutations in beta-connexin genes cause hearing, dermatological and peripheral nerve disorders. Recessive mutations in the gene encoding connexin 26 (GJB2) are the most common cause of childhood-onset deafness. The combination of mutations in the GJB2 and GJB6 (Cx30) genes also cause childhood hearing impairment. Although both recessive and dominant connexin mutants are functionally impaired, dominant mutations might have in addition a dominant-negative effect on wild-type connexins. Some dominant mutations in beta-connexin genes have a pleiotropic effect at the level of the skin, the auditory system and the peripheral nerves. Understanding the genotype-phenotype correlations in diseases caused by mutations in connexin genes might provide important insight into the mechanisms that lead to these disorders.

Abstract: Pendred syndrome is an autosomal-recessive disorder characterized by congenital sensorineural hearing loss combined with goiter. This disorder may account for up to 10% of cases of hereditary deafness. The disease gene (PDS/SLC26A4) has been mapped to chromosome 7q22-q31 and encodes a chloride-iodide transport protein. Mutations in this gene are also a cause of non-syndromic autosomal recessive hearing impairment (DFNB4). We have analyzed the PDS/SLC26A4 gene in Spanish and Italian families and we have detected five novel mutations (X781W, T132I, IVS2-2A>G, Y556H and 406del5).

Abstract: Several connexin genes (GJB1, GJB2, GJB3, GJB6 and GJA1) have been found mutated in patients with non-syndromic and/or syndromic deafness indicating an important role of these proteins in the auditory system. In order to better understand the function of the connexins in the inner ear we have analyzed the gene expression profiles of two connexin genes, Gjb1 (connexin 32) and Gjb3 (connexin 31), by in situ hybridization during the mouse cochlea organogenesis, from early otocyst up to the mature organ in adult. In the developing otocyst epithelium, some restricted domains expressed Gjb3 and Gjb1 whilst high levels of both transcripts were present in the surrounding mesenchymal tissue. As development proceeds, expression of these two genes was found in various subtypes of fibrocytes, either within the spiral limbus or along the spiral ligament, as well as in the basilar membrane cells, in the Reissner’s membrane cells, and in subsets of the cellular elements of the cochlear ganglion. Gjb3 and Gjb1 expression was spatiotemporally modulated within the sensory hair cells and the various supporting cells that compose the developing organ of Corti. A transitory expression of Gjb1 was found in the basal and intermediate cells of the stria vascularis. In the adult cochlea Gjb1 transcripts disappeared while Gjb3 expression remained present in fibrocytes with specific expression patterns.

Abstract: Several connexin genes (GJB1, GJB2, GJB3, GJB6 and GJA1) have been found mutated in patients with non-syndromic and/or syndromic deafness indicating an important role of these proteins in the auditory system. In order to better understand the function of the connexins in the inner ear we have analyzed the gene expression profiles of two connexin genes, Gjb1 (connexin 32) and Gjb3 (connexin 31), by in situ hybridization during the mouse cochlea organogenesis, from early otocyst up to the mature organ in adult. In the developing otocyst epithelium, some restricted domains expressed Gjb3 and Gjb1 whilst high levels of both transcripts were present in the surrounding mesenchymal tissue. As development proceeds, expression of these two genes was found in various subtypes of fibrocytes, either within the spiral limbus or along the spiral ligament, as well as in the basilar membrane cells, in the Reissner’s membrane cells, and in subsets of the cellular elements of the cochlear ganglion. Gjb3 and Gjb1 expression was spatiotemporally modulated within the sensory hair cells and the various supporting cells that compose the developing organ of Corti. A transitory expression of Gjb1 was found in the basal and intermediate cells of the stria vascularis. In the adult cochlea Gjb1 transcripts disappeared while Gjb3 expression remained present in fibrocytes with specific expression patterns.

Abstract:

Abstract: Mutations in the connexin 31 (GJB3) gene have been found in subjects with dominant and recessive deafness and in patients with erythrokeratodermia variabilis. We report here a dominant mutation in the GJB3 gene (D66del) in a family affected with peripheral neuropathy and sensorineural hearing impairment. A wide range of disease severity for peripheral neuropathy, from asymptomatic cases to subjects with chronic skin ulcers in their feet and osteomyelitis leading to amputations, was detected in D66del patients. Mild, often asymmetrical, hearing impairment was found in all but one patient with mutation D66del of this family and the same mutation was present in an independent family ascertained because of hearing impairment. We have found mouse connexin 31 (Gjb3) gene expression in the cochlea and in the auditory and sciatic nerves, showing a pattern similar to that of Gjb1 (connexin 32), of which the human ortholog (GJB1) is involved in X-linked peripheral neuropathy. This expression pattern, together with auditory-evoked brainstem anomalous response in D66del patients, indicates that hearing impairment due to GJB3 mutations involves alterations in both the cochlea and the auditory nerve. Peripheral neuropathy is the third phenotypic alteration linked to GJB3 mutations, which enlarges the list of genes that cause this group of heterogeneous disorders.

Abstract: Pendred syndrome is an autosomal-recessive disorder characterized by congenital sensorineural hearing loss combined with goiter. This disorder may account for up to 10% of cases of hereditary deafness. The disease gene (PDS/SLC26A4) has been mapped to chromosome 7q22-q31 and encodes a chloride-iodide transport protein. Mutations in this gene are also a cause of non-syndromic autosomal recessive hearing impairment (DFNB4). We have analyzed the PDS/SLC26A4 gene in Spanish and Italian families and we have detected five new mutations (X871M, T132I, IVS1-2A>G, Y556H and 406del5).

Abstract: Connexin31 (GJB3) has been associated with hearing impairment and erythrokeratodermia variabilis. We have analyzed this gene in samples from patients with peripheral neuropathies, deafness and controls and have found several single nucleotide polymorphisms (SNPs). In the noncoding exon 1 of GJB3 two small deletions, 581del2 and 632del4 (GenBank accession number AF052692), were found at frequencies of 30% and 14%, respectively. In exon 2 we found two amino acid changes, R32W (1227C-T) and V200I (1731G-A), and three nucleotide variants not affecting the amino acid sequence, 1610G-A, 1700C-T and 1931C-T. Most of these changes were found at similar frequencies in patients with deafness, patients with peripheral neuropathies and control subjects. V200I, 1700C-T and 1610G-A were found associated in three unrelated patients with deafness and in a fourth patient with peripheral neuropathy, but were not detected in control subjects.

Abstract:

Abstract: Mutations in the GJB2 gene have been identified in many patients with childhood deafness, 35delG being the most common mutation in Caucasoid populations. We have analyzed a total of 576 families/unrelated patients with recessive or sporadic deafness from Italy and Spain, 193 of them being referred as autosomal recessive, and the other 383 as apparently sporadic cases (singletons). Of the 1,152 unrelated GJB2 chromosomes analyzed from these patients, 37% had GJB2 mutations. Twenty-three different mutations were detected (1 in-frame deletion, 4 nonsense, 5 frameshift, and 13 missense mutations). Mutation 35delG was the most common, accounting for 82% of all GJB2 deafness alleles. The relative frequency of 35delG in Italy and Spain was different, representing 88% of the alleles in Italian patients and only 55% in the Spanish cases. Eight non-35delG mutations were detected more than once (V37I, E47X, 167delT, L90P, 312de114, 334delAA, R143W, and R184P), with relative frequencies ranging between 0.5 and 1.6% of the GJB2 deafness alleles. The information based on conservation of amino acid residues, coexistence with a second GJB2 mutation or absence of the mutation in non-deaf control subjects, suggests that most of these missense changes should be responsible for the deafness phenotype.

Abstract:

Abstract: Pendred syndrome is a recessive inherited disorder that consists of developmental abnormalities of the cochlea, sensorineural hearing loss, and diffuse thyroid enlargement (goiter). This disorder may account for up to 10% of cases of hereditary deafness. The disease gene (PDS) has been mapped to chromosome 7q22-q31, and encodes a chloride-iodide transport protein. We performed mutation analysis of individual exons of the PDS gene in one Spanish family that shows intrafamilial variability of the deafness phenotype (two patients with profound and one with moderate-severe deafness). We identified a new splice-site mutation affecting intron 4 of the PDS gene, at nucleotide position 639+7. RNA analysis from lymphocytes of the affected patients showed that mutation 639+7A–>G generates a new donor splice site, leading to an mRNA with an insertion of six nucleotides from intron 4 of PDS. Since the newly created donor splice site is likely to compete with the normal one, variations of the levels of normal and aberrant transcripts of the PDS gene in the cochlea may explain the variability in the deafness presentation.

Abstract: The mtDNA variation of 50 Spanish and 4 Cuban families affected by nonsyndromic sensorineural deafness due to the A1555G mutation in the 12S rRNA gene was studied by high-resolution RFLP analysis and sequencing of the control region. Phylogenetic analyses of haplotypes and detailed survey of population controls revealed that the A1555G mutation can be attributed to >/=30 independent mutational events among the 50 Spanish families and that it occurs on mtDNA haplogroups that are common in all European populations. This indicates that the relatively high detection rate of this mutation in Spain is not due to sampling biases or to a single major founder event. Moreover, the distribution of these mutational events on different haplogroups is compatible with a random occurrence of the A1555G mutation and tends to support the conclusion that mtDNA backgrounds do not play a significant role in the expression of the mutation. Overall, these findings appear to indicate that the rare detection of this mutation in other populations is most likely due to inadequacy in patient ascertainment and molecular screening. This probable lack of identification of the A1555G mutation in subjects affected by sensorineural hearing loss implies that their maternally related relatives are not benefiting from presymptomatic detection and information concerning their increased risk of ototoxicity due to aminoglycoside treatments.