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A multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample.

An important component of brain mapping is an understanding of the relationships between neuroanatomic structures, as well as the nature of shared causal factors. Prior twin studies have demonstrated that much of individual differences in human anatomy are caused by genetic differences, but information is limited on whether different structures share common genetic factors. We performed a multivariate statistical genetic analysis on volumetric MRI measures (cerebrum, cerebellum, lateral ventricles, corpus callosum, thalamus, and basal ganglia) from a pediatric sample of 326 twins and 158 singletons. Our results suggest that the great majority of variability in cerebrum, cerebellum, thalamus and basal ganglia is determined by a single genetic factor. Though most (75%) of the variability in corpus callosum was explained by additive genetic effects these were largely independent of other structures. We also observed relatively small but significant environmental effects common to multiple neuroanatomic regions, particularly between thalamus, basal ganglia, and lateral ventricles. These findings are concordant with prior volumetric twin studies and support radial models of brain evolution.

Adolescent↗

Linkage mapping of a complex trait in the New York population of the GAW14 simulated dataset: a multivariate phenotype approach.

Multivariate phenotypes underlie complex traits. Thus, instead of using the end-point trait, it may be statistically more powerful to use a multivariate phenotype correlated to the end-point trait for detecting linkage. In this study, we develop a reverse regression method to analyze linkage of Kofendrerd Personality Disorder affection status in the New York population of the Genetic Analysis Workshop 14 (GAW14) simulated dataset. When we used the multivariate phenotype, we obtained significant evidence of linkage near four of the six putative loci in at least 25% of the replicates. On the other hand, the linkage analysis based on Kofendrerd Personality Disorder status as a phenotype produced significant findings only near two of the loci and in a smaller proportion of replicates.

Chromosome Mapping↗

Comparative genomics for the investigation of autoimmune diseases.

The complete DNA sequence of the human genome and of several related mammals are now available, due to the investments of enormous resources and advances in sequencing technology. Novel technologies have been developed to compare multiple genomes with each other, thus specifying regions of sequence similarity among mammals and with their pathogens. Larger blocks of sequence similarity (syntenic regions) have been determined and made publicly available. In many ways, novel insights can be gained by such data when combining external genetic or clinical information for these syntenic loci. These novel tools have proven to be successful in inferring functional equivalence between loci of multiple genomes. This review reports on the role of comparative genomics in research on autoimmune diseases, a field with strong dependencies on animal models of human diseases and the problem of an adequate information transfer between multiple organisms and research areas.

Animals↗

Single nucleotide polymorphisms as a prerequisite for autoantigens.

It is still elusive why certain self proteins induce an autoimmune response. One immunological hypothesis is that only modified or altered self-proteins may become a target. Thus, we asked whether such alterations may actually be genetic polymorphisms that can be revealed by analyzing sequence variability in the known human autoantigens. Indeed, we found autoantigens to contain significantly more single nucleotide polymorphisms (SNP) than other human genes do. Our finding may offer an explanation for autoimmune responses through allogeneic exposure. Besides other contributing factors in autoimmunity, SNP may represent an essential prerequisite for the primary induction of an autoimmune response.

Amino Acid Sequence↗

Genome resources and comparative analysis tools for cardiovascular research.

Disorders of the cardiovascular system are often caused by the interaction of genetic and environmental factors that jointly contribute to individual susceptibility. Genomic data and bioinformatics tools generated from genome projects, coupled with functional verification, offer novel approaches to study both rare single-gene and complex multigenic cardiovascular diseases. These approaches include gene mapping using genome variation, especially single-nucleotide polymorphisms and comparative genomics within and between species. This chapter illustrates the major genome resources, associated bioinformatics tools, and their potential application in cardiovascular research.

Cardiovascular Diseases↗

Model-based inference of recombination hotspots in a highly variable oncogene [corrected].

An emergent problem in the study of pathogen evolution is our ability to determine the extent to which their rapidly evolving genomes recombine. Such information is necessary and essential for locating pathogenicity loci using association studies, and it also directs future screening, therapeutic and vaccination strategies. Recombination also complicates the use of phylogenetic approaches to infer evolutionary parameters including selection pressures. Reliable methods that identify the presence of regions of recombination are therefore vital. We illustrate the use of an integrated model-based approach to inferring recombination structure using all available sequences of the highly variable, transforming Kaposi's sarcoma-associated herpesviral gene, ORF-K1. This technique learns the parameters of a statistical model that takes recombination hotspots, population genetic effects, and variable rates of mutation into account. As there are no known mechanisms to explain the high mutation rate in this DNA viral gene, recombination may account for some of the variability observed. We infer recombination hotspots in conserved sites such as the tyrosine kinase signaling motif, referred to here as recombination drift, as well as in nonconserved sites, a process described as recombination shift.

Bayes Theorem↗

Poplar genomics is getting popular: the impact of the poplar genome project on tree research.

Trees, due to their long life-span, have characteristics that distinguish them from annual, herbaceous plants. It is likely that many of these properties are based on a tree-specific genetic foundation. The U.S. Department of Energy initiated a genome-sequencing project for Populus, a model perennial plant. Through international collaboration and input to the sequencing effort, the annotated whole genome sequence of Populus trichocarpa will be released to the public in early 2004. This genomic resource will, for the first time, allow comparison between a perennial and an annual plant on a whole genome basis and therefore provide clues for molecular research on tree-specific questions like dormancy, development of a secondary cambium, juvenile-mature phase change, or long-term host-pest interactions. The approximately 520 Mbp of annotated genomic sequence will complement and expand the knowledge provided so far by the 125,000 ESTs from poplar that are available in public databases. This article introduces the international poplar research programmes and points out the significance of the poplar genome project for plant research.

Databases, Genetic↗

Comparison of marker types and map assumptions using Markov chain Monte Carlo-based linkage analysis of COGA data.

We performed multipoint linkage analysis of the electrophysiological trait ECB21 on chromosome 4 in the full pedigrees provided by the Collaborative Study on the Genetics of Alcoholism (COGA). Three Markov chain Monte Carlo (MCMC)-based approaches were applied to the provided and re-estimated genetic maps and to five different marker panels consisting of microsatellite (STRP) and/or SNP markers at various densities. We found evidence of linkage near the GABRB1 STRP using all methods, maps, and marker panels. Difficulties encountered with SNP panels included convergence problems and demanding computations.

Alcoholism↗

Disentangling linkage disequilibrium and linkage from dense single-nucleotide polymorphism trio data.

Parent-offspring trios are widely collected for disease gene-mapping studies and are being extensively genotyped as part of the International HapMap Project. With dense maps of markers on trios, the effects of LD and linkage can be separated, allowing estimation of recombination rates in a model-free setting. Here we define a model-free multipoint method on the basis of dense sequence polymorphism data from parent-offspring trios to estimate intermarker recombination rates. We use simulations to show that this method has up to 92% power to detect recombination hotspots of intensity 25 times background over a region of size 10 kb typed at density 1 marker per 2.5 kb and almost 100% power to detect large hotspots of intensity >125 times background over regions of size 10 kb typed with just 1 marker per 5 kb (alpha = 0.05). We found strong agreement at megabase scales between estimates from our method applied to HapMap trio data and estimates from the genetic map. At finer scales, using Centre d'Etude du Polymorphisme Humain (CEPH) pedigree data across a 10-Mb region of chromosome 20, a comparison of population recombination rate estimates obtained from our method with estimates obtained using a coalescent-based approximate-likelihood method implemented in PHASE 2.0 shows detection of the same coldspots and most hotspots: The Spearman rank correlation between the estimates from our method and those from PHASE is 0.58 (p < 2.2(-16)).

Computer Simulation↗

Integration of genomic and metabonomic data in systems biology--are we 'there' yet?

The measurement of genes, proteins and metabolites has gained increasing acceptance as a means by which to study the response of an organism to stimuli, whether they are environmental, genetic, pharmacological, toxicological, etc. Typically referred to as genomics, proteomics, and metabonomics or metabolomics, respectively, these methods as independent entities have undoubtedly provided new biological insight that was not attainable a decade ago. Not surprisingly, scientists continue to push the boundaries to extract knowledge from data, and it is currently recognized that the full realization of these technologies is limited by a lack of tools to enable data integration. Integration of these 'omic datasets, or integromics, is desirable as it links the individual biological elements together to provide a more complete understanding of dynamic biological processes. Accordingly, in addition to developing new data analysis methods to extract further details from each of the high-content datasets individually, effort is also being expended to create or improve statistical methods, databases, annotations and pathway mapping to maximize our learning. There are several recent examples, in both mammalian and non-mammalian systems, in which genes, proteins and/or metabolites have been integrated using either biology- or data-driven strategies. Herein, key findings are reviewed, gaps in our current tools and technologies are identified and illustrated, and perspective is provided on the potential of integromics in biological research.

Acetaminophen↗

Using HapMap data: a cautionary note.

The HapMap data are being widely used in human genetic studies. We show by direct resequencing of a approximately 6-kb region of chromosome 1 that the HapMap data are unreliable for this region. This region contains a recent mitochondrial (mt) DNA insertion. The HapMap data report the corresponding mtDNA variation and not the nuclear DNA variation. In view of mtDNA insertions of varying lengths throughout the human genome and considerable segmental duplications, it is necessary to use the HapMap data cautiously.

Chromosomes, Human, Pair 1↗

Site-specific recombination links the evolution of P2-like coliphages and pathogenic enterobacteria.

The genome of the tailed temperate coliphage P2 (Myoviridae) contains some genes that probably are horizontally transferred additions to the genome. One of these genes, the Z/fun gene, was recently found intact in the genome of Neisseria meningitidis. We have investigated the presence of P2-like phages, and the genetic variation at the position corresponding to the phage P2 Z/fun locus, in the Escherichia coli reference collection (ECOR). P2-like phages are common in E. coli since they are present in about 30% of the ECOR strains. Hybridizations and PCR amplifications indicate that the overall variation among these phages is small. Amplification of the region corresponding to the phage P2 Z/fun locus in 11 prophages revealed that this is a multivariable locus. Sequencing of the region resulted in 10 completely different sequences but with a similar high AT-content as the Z/fun gene. All sequences contained at least one open reading frame with good transcription and translation signals. All sequences were also surrounded by a highly similar, previously undiscovered, inverted repeat (IR). We also found this IR in genetically unstable regions in pathogenic enterobacteria. This demonstrates that P2-like phages are important factors in the evolution of bacteria, not only because they carry a diversity of lysogenic conversion genes but also because they can act as vectors for single genes. The genes found between the IRs have unknown functions, and only a few clearly similar genes have been found in other bacteria.

Bacteriophage P2↗

Animal breeding and disease.

Single-locus disorders in domesticated animals were among the first Mendelian traits to be documented after the rediscovery of Mendelism, and to be included in early linkage maps. The use of linkage maps and (increasingly) comparative genomics has been central to the identification of the causative gene for single-locus disorders of considerable practical importance. The 'score-card' in domestic animals is now more than 100 disorders for which the molecular lesion has been identified and hence for which a DNA test is available. Because of the limited lifespan of any such test, a cost-effective and hence popular means of protecting the intellectual property inherent in a DNA test is not to publish the discovery. While understandable, this practice creates a disconcerting precedent. For multifactorial disorders that are scored on an all-or-none basis or into many classes, the effectiveness of control schemes could be greatly enhanced by selection on estimated breeding values for liability. Genetic variation for resistance to pathogens and parasites is ubiquitous. Selection for resistance can therefore be successful. Because of the technical and welfare challenges inherent in the requirement to expose animals to pathogens or parasites in order to be able to select for resistance, there is a very active search for DNA markers for resistance. The first practical fruits of this research were seen in 2002, with the launch of a national scrapie control programme in the UK.

Animal Diseases↗

Absence of Y chromosome microdeletions in patients with cryptorchidism and hypospadias.

Microdeletions of the Y chromosome have been observed in some patients with cryptorchidism and severe defects of spermatogenesis. We investigated whether microdeletions of the Y chromosome may be present in patients with cryptorchidism and hypospadias. Peripheral blood was obtained from 20 male patients 5.8 +/- 4.1 years (range: 0.4-14 years) with cryptorchidism and hypospadias for somatic DNA analysis of Y chromosome using multiplex polymerase chain reaction. These patients had no identifiable genetic syndrome, other genitourinary malformations or an abnormal karyotype. We evaluated the presence or absence of amplification using a set of 34 different sequence-tagged sites (STS) in each patient. All patients showed normal length amplifications for each of the regions evaluated, suggesting that microdeletions of the Y chromosome are not a frequent cause of hypospadias associated with cryptorchidism.

Adolescent↗

Ex-situ conservation of Black poplar in Europe: genetic diversity in nine gene bank collections and their value for nature development.

Populus nigra L. is a pioneer tree species of riparian ecosystems that is threatened with extinction because of the loss of its natural habitat. To evaluate the existing genetic diversity of P. nigra within ex-situ collections, we analyzed 675 P. nigra L. accessions from nine European gene banks with three amplified fragment length polymorphism (AFLP) and five microsatellite [or simple sequence repeat (SSR)] primer combinations, and 11 isozyme systems. With isozyme analysis, hybrids could be detected, and only 3% were found in the gene bank collection. AFLP and SSR analyses revealed effectively that 26% of the accessions were duplicated and that the level of clonal duplication varied from 0% in the French gene bank collection up to 78% in the Belgian gene bank collection. SSR analysis was preferred because AFLP was technically more demanding and more prone to scoring errors. To assess the genetic diversity, we grouped material from the gene banks according to topography of the location from which the accessions were originally collected (river system or regions separated by mountains). Genetic diversity was expressed in terms of the following parameters: percentage of polymorphic loci, observed and effective number of alleles, and Nei's expected heterozygosity or gene diversity (for AFLP). Genetic diversity varied from region to region and depended, to some extent, on the marker system used. The most unique alleles were identified in the Danube region (Austria), the Rhône region (France), Italy, the Rijn region (The Netherlands), and the Ebro region (Spain). In general, the diversity was largest in the material collected from the regions in Southern Europe. Dendrograms and principal component analysis resulted in a clustering according to topography. Material from the same river systems, but from different countries, clustered together. The genetic differentiation among the regions (F(st)/G(st)) was moderate.

Cluster Analysis↗

BN phenome: detailed characterization of the cardiovascular, renal, and pulmonary systems of the sequenced rat.

The postgenome era has provided resources to link disease phenotypes to the genomic sequence, i.e., creating a disease "phenome." Our detailed characterization of the sequenced BN rat strain (BN/NHsdMcwi) provides the first concerted effort in creating a direct link between a sequenced genome and its resulting biology. For the BN sequence to be of broad value to investigators, these measures need to be put into the context of the spectrum of the laboratory rats, so that their physiology can be benchmarked against the sequenced BN. As a major step in generating a comprehensive cardiovascular and pulmonary disease phenome, we measured 281 traits related to diseases of the heart, lung, and blood (http://pga.mcw.edu) in the sequenced BN. We compared these data with those of the same traits measured across multiple genetic backgrounds, both genders, and differing environments. We show that no single strain, inbred or outbred, can be considered a physiological control strain; what is normal depends on what trait is being measured and the strains' genome backgrounds. We find vast differences between the genders, also dependent on genome background. By combining the values across all strains studied, we generated a "population" mean and normal range of values for each of these traits, which are more genetically representative than the measured values in any single inbred or outbred strain. These data provide a baseline for physiological comparison of traits related to cardiovascular, lung, blood, and renal function in the sequenced BN rats relative to the major strains of rats studied in biomedical research.

Animals↗

Multilocus sequence typing breathes life into a microbial metagenome.

Shot-gun sequencing of DNA isolated from the environment and the assembly of metagenomes from the resulting data has considerably advanced the study of microbial diversity. However, the subsequent matching of these hypothetical metagenomes to cultivable microorganisms is a limitation of such cultivation-independent methods of population analysis. Using a nucleotide sequence-based genetic typing method, multilocus sequence typing, we were able for the first time to match clonal cultivable isolates to a published and controversial bacterial metagenome, Burkholderia SAR-1, which derived from analysis of the Sargasso Sea. The matching cultivable isolates were all associated with infection and geographically widely distributed; taxonomic analysis demonstrated they were members of Burkholderia cepacia complex Group K. Comparison of the Burkholderia SAR-1 metagenome to closely related B. cepacia complex genomes indicated that it was greater than 98% intact in terms of conserved genes, and it also shared complete sequence identity with the cultivable isolates at random loci beyond the genes sampled by the multilocus sequence typing. Two features of the extant cultivable clones support the argument that the Burkholderia SAR-1 sequence may have been a contaminant in the original metagenomic survey: (i) their growth in conditions reflective of sea water was poor, suggesting the ocean was not their preferred habitat, and (ii) several of the matching isolates were epidemiologically linked to outbreaks of infection that resulted from contaminated medical devices or products, indicating an adaptive fitness of this bacterial strain towards contamination-associated environments. The ability to match identical cultivable strains of bacteria to a hypothetical metagenome is a unique feature of nucleotide sequence-based microbial typing methods; such matching would not have been possible with more traditional methods of genetic typing, such as those based on pattern matching of genomic restriction fragments or amplified DNA fragments. Overall, we have taken the first steps in moving the status of the Burkholderia SAR-1 metagenome from a hypothetical entity towards the basis for life of cultivable strains that may now be analysed in conjunction with the assembled metagenomic sequence data by the wider scientific community.

Bacterial Typing Techniques↗

A BAC-based physical map of the Nile tilapia genome.

BACKGROUND: Cichlid fishes, particularly tilapias, are an important source of animal protein in tropical countries around the world. To support selective breeding of these species we are constructing genetic and physical maps of the tilapia genome. Physical maps linking collections of BAC clones are a critical resource for both positional cloning and assembly of whole genome sequences. RESULTS: We constructed a genome-wide physical map of the tilapia genome by restriction fingerprinting 35,245 bacterial artificial chromosome (BAC) clones using high-resolution capillary polyacrylamide gel electrophoresis. The map consists of 3,621 contigs and is estimated to span 1.752 Gb in physical length. An independent analysis of the marker content of four contigs demonstrates the reliability of the assembly. CONCLUSION: This physical map is a powerful tool for accelerating genomic studies in cichlid fishes, including comparative mapping among fish species, long-range assembly of genomic shotgun sequences, and the positional cloning of genes underlying important phenotypic traits. The tilapia BAC fingerprint database is freely available at http://hcgs.unh.edu/fpc/image.php.

Animals↗