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PubMed2006

Autism and environmental genomics.

Autism spectrum disorders (ASD) are defined by behavior and diagnosed by clinical history and observation but have no biomarkers and are presumably, etiologically and biologically heterogeneous. Given brain abnormalities and high monozygotic concordance, ASDs have been framed as neurobiologically based and highly genetic, which has shaped the research agenda and in particular criteria for choosing candidate ASD genes. Genetic studies to date have not uncovered genes of strong effect, but a move toward "genetic complexity" at the neurobiological level may not suffice, as evidence of systemic abnormalities (e.g. gastrointestinal and immune), increasing rates and less than 100% monozygotic concordance support a more inclusive reframing of autism as a multisystem disorder with genetic influence and environmental contributors. We review this evidence and also use a bioinformatic approach to explore the possibility that "environmentally responsive genes" not specifically associated with the nervous system, but potentially associated with systemic changes in autism, have not hitherto received sufficient attention in autism genetics investigations. We overlapped genes from NIEHS Environmental Genome Project, the Comparative Toxicogenomics Database, and the SeattleSNPs database of genes relevant to the human immune and inflammatory response with linkage regions identified in published autism genome scans. We identified 135 genes in overlap regions, of which 56 had never previously been studied in relation to autism and 47 had functional SNPs (in coding regions). Both our review and the bioinformatics exercise support the expansion of criteria for evaluating the relevance of genes to autism risk to include genes related to systemic impact and environmental responsiveness. This review also suggests the utility of environmental genomic resources in highlighting the potential relevance of particular genes within linkage regions. Environmental responsiveness and systems impacts consistent with system-wide findings in autism are thus supported as important considerations in identifying the numerous and complex modes of gene-environment interaction in autism.

Animals↗
PubMed2005

Microdeletions and microinsertions causing human genetic disease: common mechanisms of mutagenesis and the role of local DNA sequence complexity.

In the Human Gene Mutation Database (www.hgmd.org), microdeletions and microinsertions causing inherited disease (both defined as involving < or = 20 bp of DNA) account for 8,399 (17%) and 3,345 (7%) logged mutations, in 940 and 668 genes, respectively. A positive correlation was noted between the microdeletion and microinsertion frequencies for 564 genes for which both microdeletions and microinsertions are reported in HGMD, consistent with the view that the propensity of a given gene/sequence to undergo microdeletion is related to its propensity to undergo microinsertion. While microdeletions and microinsertions of 1 bp constitute respectively 48% and 66% of the corresponding totals, the relative frequency of the remaining lesions correlates negatively with the length of the DNA sequence deleted or inserted. Many of the microdeletions and microinsertions of more than 1 bp are potentially explicable in terms of slippage mutagenesis, involving the addition or removal of one copy of a mono-, di-, or trinucleotide tandem repeat. The frequency of in-frame 3-bp and 6-bp microinsertions and microdeletions was, however, found to be significantly lower than that of mutations of other lengths, suggesting that some of these in-frame lesions may not have come to clinical attention. Various sequence motifs were found to be over-represented in the vicinity of both microinsertions and microdeletions, including the heptanucleotide CCCCCTG that shares homology with the complement of the 8-bp human minisatellite conserved sequence/chi-like element (GCWGGWGG). The previously reported indel hotspot GTAAGT and its complement ACTTAC were also found to be overrepresented in the vicinity of both microinsertions and microdeletions, thereby providing a first example of a mutational hotspot that is common to different types of gene lesion. Other motifs overrepresented in the vicinity of microdeletions and microinsertions included DNA polymerase pause sites and topoisomerase cleavage sites. Several novel microdeletion/microinsertion hotspots were noted and some of these exhibited sufficient similarity to one another to justify terming them "super-hotspot" motifs. Analysis of sequence complexity also demonstrated that a combination of slipped mispairing mediated by direct repeats, and secondary structure formation promoted by symmetric elements, can account for the majority of microdeletions and microinsertions. Thus, microinsertions and microdeletions exhibit strong similarities in terms of the characteristics of their flanking DNA sequences, implying that they are generated by very similar underlying mechanisms.

Computational Biology↗
PubMed1997

Codon usage tabulated from the international DNA sequence databases.

The codon usage in individual protein genes has been calculated using the nucleotide sequence obtained from the GenBank Genetic Sequence Database. Sum of the codon use of each organism has been also calculated. The data files can be obtained from anonymous ftp sites of DDBJ, DISC and EBI. The list of codon usage of genes in organisms was made searchable by name of organism through a web site. The compilation has been synchronized with a major release of GenBank.

Base Sequence↗
PubMed2006

Historical origins and genetic diversity of wine grapes.

The genomic resources that are available to the grapevine research community have increased enormously during the past five years, in parallel with a renewed interest in grapevine (Vitis vinifera L.) germplasm resources and analysis of genetic diversity in grapes. Genetic variation, either natural or induced, is invaluable for crop improvement and understanding gene function, and the same is true for the grapevine. The history and vineyard cultural practices have largely determined the genetic diversity that exists today in grapevines. In this article, we provide a synopsis of what is known about the origin and genetics of grapes and how molecular genetics is helping us understand more about this plant: its evolution, historical development, genetic diversity and potential for genetic improvement.

Databases, Genetic↗
PubMed2001

Lack of interaction between asbestos exposure and glutathione S-transferase M1 and T1 genotypes in lung carcinogenesis.

An interaction between occupational carcinogens and genetic susceptibility factors in determining individual lung cancer risk is biologically plausible, but the interpretation of available studies are limited by the small number of exposed subjects. We selected from the international database on Genetic Susceptibility and Environmental Carcinogens the studies of lung cancer that included information on metabolic polymorphisms and occupational exposures. Adequate data were available for asbestos exposure and GSTM1 (five studies) and GSTT1 (three studies) polymorphisms. For GSTM1, the pooled analysis included 651 cases and 983 controls. The odds ratio (OR) of lung cancer was 2.0 [95% confidence interval (CI) 1.4-2.7] for asbestos exposure and 1.1 (95% CI 0.9-1.4) for GSTM1-null genotype. The OR of interaction between asbestos and GSTM1 polymorphism was 1.1 (95% CI 0.6-2.1) based on 54 cases and 53 controls who were asbestos exposed and GSTM1 null. The case-only approach, which was based on 869 lung cancer cases and had an 80% power to detect an OR of interaction of 1.56, also provided lack of evidence of interaction. The analysis of possible interaction between GSTT1 polymorphism and asbestos exposure in relation to lung cancer was based on 619 cases. The prevalence OR of GSTT1-null genotype and asbestos exposure was 1.1 (95% CI 0.6-2.0). Our results do not support the hypothesis that the risk of lung cancer after asbestos exposure differs according to GSTM1 genotype. The low statistical power of the pooled analysis for GSTT1 genotypes hampered any firm conclusion. No adequate data were available to assess other interactions between occupational exposures and metabolic polymorphisms.

Adult↗
PubMed2006

Genotyping of human Campylobacter jejuni isolates in Greece by pulsed-field gel electrophoresis.

BACKGROUND: Pulsed-field gel electrophoresis (PFGE) typing has been recognized by several groups as a relatively simple and quick method for genotyping of Campylobacter jejuni (C. jejuni). The present study was carried out to determine the genetic variations among clinical isolates of C. jejuni from Greece and to establish a database, which could be used for future epidemiological and clinical studies. METHODS: A total of 93 C. jejuni clinical isolates of known flagellin subunit A (flaA) genotype, serotype, and antimicrobial susceptibility pattern, were collected from a general hospital in the Attica region of Greece, between the years 2000 and 2003. The PFGE profiles of SmaI DNA digests of each strain were compared using a bin analysis based on 44 molecular size intervals. RESULTS: Forty-three different PFGE types, designated as C. jejuni (C. j.) 1 Greece (GR) to C. j. 43 GR, were identified. There was no statistically significant association of PFGE type with flaA genotype, serotype, or antimicrobial susceptibility pattern. However, PFGE typing did show a remarkable discriminatory ability within the non-serotypable group. CONCLUSION: Evaluating our results, we observed that (i) there was no statistically significant clonality of a certain PFGE type among the strains examined, and (ii) the discriminatory ability of PFGE typing was much better than that of the other typing methods. This is the first report of the use of bin patterns to compare the PFGE genotypes identified.

Animals↗
PubMed2005

Genetic linkage maps of the red flour beetle, Tribolium castaneum, based on bacterial artificial chromosomes and expressed sequence tags.

A genetic linkage map was constructed in a backcross family of the red flour beetle, Tribolium castaneum, based largely on sequences from bacterial artificial chromosome (BAC) ends and untranslated regions from random cDNA's. In most cases, dimorphisms were detected using heteroduplex or single-strand conformational polymorphism analysis after specific PCR amplification. The map incorporates a total of 424 markers, including 190 BACs and 165 cDNA's, as well as 69 genes, transposon insertion sites, sequence-tagged sites, microsatellites, and amplified fragment-length polymorphisms. Mapped loci are distributed along 571 cM, spanning all 10 linkage groups at an average marker separation of 1.3 cM. This genetic map provides a framework for positional cloning and a scaffold for integration of the emerging physical map and genome sequence assembly. The map and corresponding sequences can be accessed through BeetleBase (http://www.bioinformatics.ksu.edu/BeetleBase/).

Animals↗
PubMed2006

Definition of architectural ideotypes for good yield capacity in Coffea canephora.

BACKGROUND: Yield capacity is a target trait for selection of agronomically desirable lines; it is preferred to simple yields recorded over different harvests. Yield capacity is derived using certain architectural parameters used to measure the components of yield capacity. METHODS: Observation protocols for describing architecture and yield capacity were applied to six clones of coffee trees (Coffea canephora) in a comparative trial. The observations were used to establish architectural databases, which were explored using AMAPmod, a software dedicated to the analyses of plant architecture data. The traits extracted from the database were used to identify architectural parameters for predicting the yield of the plant material studied. CONCLUSIONS: Architectural traits are highly heritable and some display strong genetic correlations with cumulated yield. In particular, the proportion of fruiting nodes at plagiotropic level 15 counting from the top of the tree proved to be a good predictor of yield over two fruiting cycles.

Agriculture↗
PubMed2005

PlantMarkers--a database of predicted molecular markers from plants.

Molecular markers are required in a broad spectrum of gene screening approaches, ranging from gene-mapping within traditional 'forward'-genetics approaches through QTL identification studies to genotyping and haplotyping studies. As we enter the post-genomics era, the need for genetic markers does not diminish, even in the species with fully sequenced genomes. PlantMarkers is a genetic marker database that contains a comprehensive pool of predicted molecular markers. We have adopted contemporary techniques to identify putative single nucleotide polymorphism (SNP), simple sequence repeat (SSR) and conserved orthologue set markers. A systematic approach to identify as broad a range of putative markers has been undertaken by screening the available openSputnik unigene consensus sequences from over 50 plant species. A web presence at http://markers.btk.fi provides functionality so that a user may search for species-specific markers on the basis of many specific criteria not limited to non-synonymous SNPs segregating between different varieties or measured polymorphic SSRs. Feedback forms are provided with all sequence entries to enable inclusion of, for example, map location for markers validated by the research community.

Base Sequence↗
PubMed1995

The Human Papillomavirus Database.

Papillomaviruses are responsible for a variety of diseases in humans and animals, ranging from harmless skin warts to lethal cancers. They also make up one of the most genetically diversified families of viruses known, and could represent a model system of DNA-virus evolution. A specialized genetic sequences database, The Human Papillomavirus Database and Analysis Project, was recently established in an effort to provide database services that are specific to papillomaviruses to the research community and to perform a variety of sequence-based analyses. This review is intended to present the scope of the information currently contained in the database and to outline some of the analyses that have been performed on the genetic sequences. These analyses will address issues including phylogenetic relationships, recombination events, selective pressures on different genes and the possibility of cross-species transmission in the case of the papillomaviruses. Copyright 1995 S. Karger AG, Basel

Journal Article↗