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We are performing whole genome sequencing (WGS) of families with Autism Spectrum Disorder (ASD) to build a resource, named MSSNG, to enable the sub-categorization of phenotypes and underlying genetic factors involved. Here, we report WGS of 5,205 samples from families with ASD, accompanied by clinical information, creating a database accessible in a cloud platform, and through an internet portal with controlled access. We found an average of 73.8 de novo single nucleotide variants and 12.6 de novo insertion/deletions (indels) or copy number variations (CNVs) per ASD subject. We identified 18 new candidate ASD-risk genes such as MED13 and PHF3, and found that participants bearing mutations in susceptibility genes had significantly lower adaptive ability (p=6×10−4). In 294/2,620 (11.2%) of ASD cases, a molecular basis could be determined and 7.2% of these carried CNV/chromosomal abnormalities, emphasizing the importance of detecting all forms of genetic variation as diagnostic and therapeutic targets in ASD.

It has been four years since the original publication of the draft sequence of the rat genome. Five groups are now working together to assemble, annotate and release an updated version of the rat genome. As the prevailing model for physiology, complex disease and pharmacological studies, there is an acute need for the rat's genomic resources to keep pace with the rat's prominence in the laboratory. In this commentary, we describe the current status of the rat genome sequence and the plans for its impending 'upgrade'. We then cover the key online resources providing access to the rat genome, including the new SNP views at Ensembl, the RefSeq and Genes databases at the US National Center for Biotechnology Information, Genome Browser at the University of California Santa Cruz and the disease portals for cardiovascular disease and obesity at the Rat Genome Database.

The Gene Ontology (GO) project (http://www.geneontology.org/) provides a set of structured, controlled vocabularies for community use in annotating genes, gene products and sequences (also see http://www.sequenceontology.org/). The ontologies have been extended and refined for several biological areas, and improvements to the structure of the ontologies have been implemented. To improve the quantity and quality of gene product annotations available from its public repository, the GO Consortium has launched a focused effort to provide comprehensive and detailed annotation of orthologous genes across a number of ‘reference’ genomes, including human and several key model organisms. Software developments include two releases of the ontology-editing tool OBO-Edit, and improvements to the AmiGO browser interface.

The Rat Genome Database (RGD, http://rgd.mcw.edu) is one of the core resources for rat genomics and recent developments have focused on providing support for disease-based research using the rat model. Recognizing the importance of the rat as a disease model we have employed targeted curation strategies to curate genes, QTL and strain data for neurological and cardiovascular disease areas. This work has centered on rat but also includes data for mouse and human to create ‘disease portals’ that provide a unified view of the genes, QTL and strain models for these diseases across the three species. The disease curation efforts combined with normal curation activities have served to greatly increase the content of the database, particularly for biological information, including gene ontology, disease, pathway and phenotype ontology annotations. In addition to improving the features and database content, community outreach has been expanded to demonstrate how investigators can leverage the resources at RGD to facilitate their research and to elicit suggestions and needs for future developments. We have published a number of papers that provide additional information on the ontology annotations and the tools at RGD for data mining and analysis to better enable researchers to fully utilize the database.

Integration of the large variety of genome maps from several organisms provides the mechanism by which physiological knowledge obtained in model systems such as the rat can be projected onto the human genome to further the research on human disease. The release of the rat genome sequence provides new information for studies using the rat model and is a key reference against which existing and new rat physiological results can be aligned. Previously, we described comparative maps of the rat, mouse, and human based on EST sequence comparisons combined with radiation hybrid maps. Here, we use new data and introduce the Integrated Genomics Environment, an extensive database of curated and integrated maps, markers, and physiological results. These results are integrated by using VCMapview, a java-based map integration and visualization tool. This unique environment allows researchers to relate results from cytogenetic, genetic, and radiation hybrid studies to the genome sequence and compare regions of interest between human, mouse, and rat. Integrating rat physiology with mouse genetics and clinical results from human by using the respective genomes provides a novel route to capitalize on comparative genomics and the strengths of model organism biology.

Over the past 200 years, animal models have been selected and used primarily as surrogates for humans. The primary selection criteria for the animal models have been disease-based phenotypic characteristic(s) similar to those of humans. Indeed, many rat and mouse models share pathobiological characteristics similar to a human condition (Desnick et al. 1982). The idea that genomic organization also tends to be evolutionarily conserved between species was postulated in the early 1900s (Castle and Wachter 1924; Haldane 1927). Studies involving banding conservation and chromosome painting (ZOO-FISH) have since shown that large stretches of DNA are conserved in mammalian species as divergent as humans and fin whales (Nash and O'Brien 1982; Sawyer and Hozier 1986; Scherthan et al. 1994; Weinberg and Stanyon 1995). Although these studies showed genome conservation, they could not show the explicit conserved gene order at high resolution; such detail can only be accomplished at the genetic/physical mapping or sequence level. Several studies evaluating genome conservation at the genetic and physical mapping level have determined that gene order does tend to be conserved between mammals (Oakey et al. 1992; Sellar et al. 1994; Stubbs et al. 1994), opening up the prospect of constructing comparative maps between multiple species based on genetic sequence and map information (Nadeau 1989; Anderson et al. 1996; DeBry and Seldin 1996; Lyons 1997). As genetic and physical maps of human and model organisms developed with the advent of the Human Genome Project in the 1990s and as the number of identified genes increased, the number of possible integration points dramatically enhanced the potential quality and density of comparative maps (O'Brien et al. 1999). The increased number of mapped genes and expressed sequence tag (EST) sites has led to sequence comparisons to identify orthologous genes (homologous genes in different species evolving from the same common ancestral gene; Clark 1999; Fitch 2000). When mapped in both species, these orthologs serve as anchors that are useful in identifying conserved segments between species. However, until absolute phylogeny of the genes is truly known, the ortholog assignments between these species must be considered preliminary; thus, it is prudent to assign gene-based anchors using the more conservative homolog relationships. The Mouse Genome Informatics (MGI) group at The Jackson Laboratories (http://www.informatics.jax.org/; Blake et al. 2000) has curated and assigned 2105 rat-mouse (R-M), 1950 rat-human (R-H), and 5603 mouse-human (M-H) orthologs. However, fewer of these genes have been mapped across all three species, limiting the number of anchors for building comparative maps. Several lower-resolution comparative maps have been generated between rat, mouse, and human using fluorescence in situ hybridization (Levan et al. 1991; Scalzi and Hozier 1998; Grutzner et al. 1999) and combined genetic/radiation hybrid (RH) maps (Watanabe et al. 1999), the later identifying 522 anchor points between rat and human and/or mouse. The combined genetic/RH maps identified 41 conserved segments (identified by containing at least two homologous genes) between rat and mouse and 89 between rat and human (Watanabe et al. 1999). Using the analytical methodology developed by Nadeau and Taylor (1984), Watanabe et al. (1999) predicted the number of evolutionarily conserved segments between rat and human to be 152+21 and between rat and mouse to be 49+7. The emergence of the RH maps in human, rat, and mouse (Gyapay et al. 1996; Steen et al. 1999; VanEtten et al. 1999), coupled with the development of large numbers of UniGenes and ESTs for all three species, has revolutionized the way comparative maps can be built and maintained, before the complete genome sequencing of all three species. Indeed, the mapping approach described here can easily be extended to other mammals with significant EST libraries and RH maps and with entire genome sequences that will not likely be determined. There are many advantages of using the RH maps over curated or integrated genetic maps. First, RH mapping facilitates the integration of genetic markers, genes, and ESTs onto a single backbone map. Second, anchor (homology and map) assignments (based on sequence alignment, UniGene assemblies of ESTs, and map information) between species provide large numbers of hooks on and between the RH maps of rat, mouse, and human, which are useful for further sequence-based annotation of finished sequence from any source and, in particular, annotation of gene function based on results in animal models. Finally, the backbone of the maps has been developed and constructed using sequence-based comparison assignments coupled to a sophisticated scoring algorithm to choose the most likely homologies, thus providing an algorithm for de novo construction of comparative maps as the fundamental EST, gene assembly (UniGene or other), and RH map data sets mature. As the genomic sequence for human and mouse are in finishing and the sequencing of the rat is underway (Marshall 2000; Pennisi 2000a,b), such an RH-based scaffold becomes a powerful tool for early rat physical mapping, sequencing, and annotation of function. Comparative maps as described here provide a powerful platform for the integration of physiological and pharmacological information in the rat with genetic information in the mouse and clinical information in the human.

Model organisms are widely used for understanding basic biology and have significantly contributed to the study of human disease. In recent years, genomic analysis has provided extensive evidence of widespread conservation of gene sequence and function amongst eukaryotes, allowing insights from model organisms to help decipher gene function in a wider range of species. The InterMOD consortium is developing an infrastructure based around the InterMine data warehouse system to integrate genomic and functional data from a number of key model organisms, leading the way to improved cross-species research. So far including budding yeast, nematode worm, fruit fly, zebrafish, rat and mouse, the project has set up data warehouses, synchronized data models and created analysis tools and links between data from different species. The project unites a number of major model organism databases, improving both the consistency and accessibility of comparative research, to the benefit of the wider scientific community.

The set of interacting molecules collectively referred to as a pathway or network represents a fundamental structural unit, the building block of the larger, highly integrated networks of biological systems. The scientific community's interest in understanding the fine details of how pathways work, communicate with each other and synergize, and how alterations in one or several pathways may converge into a disease phenotype, places heightened demands on pathway data and information providers. To meet such demands, the Rat Genome Database [(RGD) http://rgd.mcw.edu] has adopted a multitiered approach to pathway data acquisition and presentation. Resources and tools are continuously added or expanded to offer more comprehensive pathway data sets as well as enhanced pathway data manipulation, exploration and visualization capabilities. At RGD, users can easily identify genes in pathways, see how pathways relate to each other and visualize pathways in a dynamic and integrated manner. They can access these and other components from several entry points and effortlessly navigate between them and they can download the data of interest. The Pathway Portal resources at RGD are presented, and future directions are discussed. Database URL: http://rgd.mcw.edu

s. As can be seen by the amount oftime spent in curation, the time savings forresearchers are substantial. Education and Outreach An essential part of the curator’s job is toprovide education and training for RGDusers and potential users. This is accom-plished in several ways. The RGD Web sitecontains a ‘‘Help’’ section developed by thecurators and which is accessible from allpages. This component contains a Glossaryof Terms, general information on how touse the searches and tools, a FrequentlyAsked Questions (FAQ) section, and acomponent that walks users through typicaluse case scenarios. Curators also handleindividual questions through the userrequest system accessible via the ContactUs button on each page, and throughtelephone calls and the Rat CommunityForum. RGD has published seven tutorialvideos at SciVee (http://www.scivee.tv/), aWeb site for video publications for re-search, and videos are available at RGD aswell. Curators present tutorials at majorconferences such as Experimental Biology,Society of Toxicology, Neuroscience andRat Genomics and Models, as well asindividual rat research laboratories. Inaddition, RGD is well represented at majorconferences such as Biology of Genomes,Genome Informatics, Intelligent Systemsfor Molecular Biology, and the Interna-tional Mammalian Genome Conferencewith presentations and posters highlightingnew tools and datasets. Other outreachactivities involve contact with individualresearchers for nomenclature assignment togenes, QTLs, and strains, as well asconstruction of customized datasets.

The Rat Genome Database (RGD, http://rgd.mcw.edu) was developed to provide a core resource for rat researchers combining genetic, genomic, pathway, phenotype and strain information with a focus on disease. RGD users are provided with access to structured and curated data from the molecular level through to the level of the whole organism, including the variations associated with disease phenotypes. To fully support use of the rat as a translational model for biological systems and human disease, RGD continues to curate these datasets while enhancing and developing tools to allow efficient and effective access to the data in a variety of formats including linear genome viewers, pathway diagrams and biological ontologies. To support pathophysiological analysis of data, RGD Disease Portals provide an entryway to integrated gene, QTL and strain data specific to a particular disease. In addition to tool and content development and maintenance, RGD promotes rat research and provides user education by creating and disseminating tutorials on the curated datasets, submission processes, and tools available at RGD. By curating, storing, integrating, visualizing and promoting rat data, RGD ensures that the investment made into rat genomics and genetics can be leveraged by all interested investigators.

The laboratory rat, Rattus norvegicus, is an important model of human health and disease, and experimental findings in the rat have direct relevance to human-based research. The Rat Genome Database (RGD, http://rgd.mcw.edu) is a model-organism database that provides access to wide variety of curated rat data such as genes and their homologs, quantitative trait loci, phenotypes, comparative mapping, and genome analysis. We present an overview of the database followed by specific examples that can be used to gain experience in employing RGD to explore the wealth of functional data available for the rat. We show how to make associations with the genome and use comparative tools to link the rat with human and mouse in order to integrate results from these three species of critical biomedical importance. Keywords: Rat; database; quantitative trait; ontology; comparative genomics; genome sequence

The broad goal of physiological genomics research is to link genes to their functions using appropriate experimental and computational techniques. Modern genomics experiments enable the generation of vast quantities of data, and interpretation of this data requires the integration of information derived from many diverse sources. Computational biology and bioinformatics offer the ability to manage and channel this information torrent. The Rat Genome Database (RGD; http://rgd.mcw.edu ) has developed computational tools and strategies specifically supporting the goal of linking genes to their functional roles in rat and, using comparative genomics, to human and mouse. We present an overview of the database with a focus on these unique computational tools and describe strategies for the use of these resources in the area of physiological genomics.

Background Our increasing use of genetic and genomic strategies to understand human prostate cancer means that we need access to simplified and integrated information present in the associated biomedical literature. In particular, microarray gene expression studies and associated genetic mapping studies in prostate cancer would benefit from a generalized understanding of the prior work associated with this disease. This would allow us to focus subsequent laboratory studies to genomic regions already related to prostate cancer by other scientific methods. We have developed a database of prostate cancer related chromosomal information from the existing biomedical literature. The input material was based on a broad literature search with subsequent hand annotation of information relevant to prostate cancer. Description The database was then analyzed for identifiable trends in the whole scale literature. We have used this database, named ChromSorter PC, to present graphical summaries of chromosomal regions associated with prostate cancer broken down by age, ethnicity and experimental method. In addition we have placed the database information on the human genome using the Generic Genome Browser tool that allows the visualization of the data with respect to user generated datasets. Conclusions We have used this database as an additional dataset for the filtering of genes identified through genetics and genomics studies as warranting follow-up validation studies. We would like to make this dataset publicly available for use by other groups. Using the Genome Browser allows for the graphical analysis of the associated data http://www.prostategenomics.org/datamining/chrom-sorter_pc.html. Additional material from the database can be obtained by contacting the authors (mdatta@mcw.edu).

The Rat Genome Database (RGD, http://rgd.mcw.edu) is an NIH-funded project whose stated mission is 'to collect, consolidate and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community'. In a collaboration between the Bioinformatics Research Center at the Medical College of Wisconsin, the Jackson Laboratory and the National Center for Biotechnology Information, RGD has been created to meet these stated aims. The rat is uniquely suited to its role as a model of human disease and the primary focus of RGD is to aid researchers in their study of the rat and in applying their results to studies in a wider context. In support of this we have integrated a large amount of rat genetic and genomic resources in RGD and these are constantly being expanded through ongoing literature and bulk dataset curation. RGD version 2.0, released in June 2001, includes curated data on rat genes, quantitative trait loci (QTL), microsatellite markers and rat strains used in genetic and genomic research. VCMap, a dynamic sequence-based homology tool was introduced, and allows researchers of rat, mouse and human to view mapped genes and sequences and their locations in the other two organisms, an essential tool for comparative genomics. In addition, RGD provides tools for gene prediction, radiation hybrid mapping, polymorphic marker selection and more. Future developments will include the introduction of disease-based curation expanding the curated information to cover popular disease systems studied in the rat. This will be integrated with the emerging rat genomic sequence and annotation pipelines to provide a high-quality disease-centric resource, applicable to human and mouse via comparative tools such as VCMap. RGD has a defined community outreach focus with a Visiting Scientist program and the Rat Community Forum, a web-based forum for rat researchers and others interested in using the rat as an experimental model. Thus, RGD is not only a valuable resource for those working with the rat but also for researchers in other model organisms wishing to harness the existing genetic and physiological data available in the rat to complement their own work.