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[DNA analysis for the post genome-sequencing era].

With the completion of the human genome sequencing, the new post genome-sequencing era has started. The major subjects are clarifying the function of genes to apply this information to medical as well as various industrial fields. Various DNA analysis methods and instruments for gene expression profiling as well as genetic diversity including SNPs typing are required and have been developed. Here, the history and technologies related to DNA analysis including the Wada project in the early 1980's, and the Human genome project from 1990 are described. Various new technologies have developed in this decade. They include a capillary gel array DNA sequencer, DNA chips, bead probe arrays, a new DNA sequencing method using pyrosequencing and an efficient SNP typing method by BAMPER.

DNA↗

"What are they going to do with the information?" Latino/Latina and African American perspectives on the Human Genome Project.

New developments in genetic science raise questions regarding their application and implications. Dialogue about these questions has not often included the perspectives of the general population and, in particular, the voices of labeled racial or ethnic groups. In this article, the authors present results from an analysis of data from focus group discussions that engaged African Americans and Latinos/Latinas in a discussion of genetic research and technology. In particular, the authors focus on questions of inequality that arose in those focus groups and their implications for public health professionals interested in addressing pervasive racial disparities in health. In addition, they present strategies for achieving a more equitable distribution of risks and benefits from genetic research and technology suggested by participants in these focus groups.

Adult↗

DNA methylation profiling of the human major histocompatibility complex: a pilot study for the human epigenome project.

The Human Epigenome Project aims to identify, catalogue, and interpret genome-wide DNA methylation phenomena. Occurring naturally on cytosine bases at cytosine-guanine dinucleotides, DNA methylation is intimately involved in diverse biological processes and the aetiology of many diseases. Differentially methylated cytosines give rise to distinct profiles, thought to be specific for gene activity, tissue type, and disease state. The identification of such methylation variable positions will significantly improve our understanding of genome biology and our ability to diagnose disease. Here, we report the results of the pilot study for the Human Epigenome Project entailing the methylation analysis of the human major histocompatibility complex. This study involved the development of an integrated pipeline for high-throughput methylation analysis using bisulphite DNA sequencing, discovery of methylation variable positions, epigenotyping by matrix-assisted laser desorption/ionisation mass spectrometry, and development of an integrated public database available at http://www.epigenome.org. Our analysis of DNA methylation levels within the major histocompatibility complex, including regulatory exonic and intronic regions associated with 90 genes in multiple tissues and individuals, reveals a bimodal distribution of methylation profiles (i.e., the vast majority of the analysed regions were either hypo- or hypermethylated), tissue specificity, inter-individual variation, and correlation with independent gene expression data.

CpG Islands↗

Applications of microarray technology in breast cancer research.

Microarrays provide a versatile platform for utilizing information from the Human Genome Project to benefit human health. This article reviews the ways in which microarray technology may be used in breast cancer research. Its diverse applications include monitoring chromosome gains and losses, tumour classification, drug discovery and development, DNA resequencing, mutation detection and investigating the mechanism of tumour development.

Breast Neoplasms↗

Antibodies in haystacks: how selection strategy influences the outcome of selection from molecular diversity libraries.

Antibodies against most antigens can be isolated from high quality phage antibody libraries. However, not all antibodies binding a particular antigen are necessarily found when standard selections are performed. Here we investigate the effect of two different selection strategies on the isolation of antibodies against a number of different antigens, and find that these different strategies tend to select different antibodies, with little overlap between them. This indicates that the full diversity of these libraries is not tapped by a single selection strategy and that each selection strategy imposes different selective criteria in addition to that of antigen binding. To fully exploit such libraries, therefore, many different selection strategies should probably be employed for each antigen. The use of alternative strategies should be considered when selection apparently fails, or when the number of different antibodies recognizing an antigen needs to be maximised. Furthermore, the microtitre selection strategy developed is likely to prove useful in the application of phage antibody libraries to the human genome project, allowing the high throughput selection of antibodies against multiple antigens simultaneously.

Antibodies↗

Intelligence: genetics, genes, and genomics.

More is known about the genetics of intelligence than about any other trait, behavioral or biological, which is selectively reviewed in this article. Two of the most interesting genetic findings are that heritability of intelligence increases throughout the life span and that the same genes affect diverse cognitive abilities. The most exciting direction for genetic research on intelligence is to harness the power of the Human Genome Project to identify some of the specific genes responsible for the heritability of intelligence. The next research direction will be functional genomics--for example, understanding the brain pathways between genes and intelligence. Deoxyribonucleic acid (DNA) will integrate life sciences research on intelligence; bottom-up molecular biological research will meet top-down psychological research in the brain.

Adolescent↗

Understanding human disease mutations through the use of interspecific genetic variation.

Data on replacement mutations in genes of disease patients exist in a variety of online resources. In addition, genome sequencing projects and individual gene sequencing efforts have led to the identification of disease gene homologs in diverse metazoan species. The availability of these two types of information provides unique opportunities to investigate factors that are important in the development of genetically based disease by contrasting long and short-term molecular evolutionary patterns. Therefore, we conducted an analysis of disease-associated human genetic variation for seven disease genes: the cystic fibrosis transmembrane conductance regulator, glucose-6-phosphate dehydrogenase, the neural cell adhesion molecule L1, phenylalanine hydroxylase, paired box 6, the X-linked retinoschisis gene and TSC2/tuberin. Our analyses indicate that disease mutations show definite patterns when examined from an evolutionary perspective. Human replacement mutations resulting in disease are overabundant at amino acid positions most conserved throughout the long-term history of metazoans. In contrast, human polymorphic replacement mutations and silent mutations are randomly distributed across sites with respect to the level of conservation of amino acid sites within genes. Furthermore, disease-causing amino acid changes are of types usually not observed among species. Using Grantham's chemical difference matrix, we find that amino acid changes observed in disease patients are far more radical than the variation found among species and in non-diseased humans. Overall, our results demonstrate the usefulness of evolutionary analyses for understanding patterns of human disease mutations and underscore the biomedical significance of sequence data currently being generated from various model organism genome sequencing projects.

Amino Acids↗

GeneLynx: a gene-centric portal to the human genome.

GeneLynx is a meta-database providing an extensive collection of hyperlinks to human gene-specific information in diverse databases available on the Internet. The GeneLynx project is based on the simple notion that given any gene-specific identifier (accession number, gene name, text, or sequence), scientists should be able to access a single location that provides a set of links to all the publicly available information pertinent to the specified human gene. GeneLynx was implemented as an extensible relational database with an intuitive and user-friendly Web interface. The data are automatically extracted from more than 40 external resources, using appropriate approaches to maximize coverage of the available data. Construction and curation of the system is mediated by a custom set of software tools. An indexing utility is provided to facilitate the establishment of hyperlinks in external databases. A unique feature of the GeneLynx system is a communal curation system for user-aided annotation. GeneLynx can be accessed freely at http://www.genelynx.org.

Database Management Systems↗

4th International Meeting on Single Nucleotide Polymorphism and Complex Genome Analysis. Various uses for DNA variations.

At the 4th International Meeting on Single Nucleotide Polymorphism and Complex Genome Analysis (Stockholm, Sweden, 10th-14th October 2001), approximately 100 scientists from more than 20 nations undertook a probing review of latest developments in the field. Despite impressive and still ongoing activities towards SNP discovery and validation, plus efforts towards haplotype exploitation, it was clear that supporting technologies for genotyping are way behind where they need to be. Innate complexity and large variances in aspects of genome function together pose immense challenges that are difficult to surmount in the human situation. In contrast, studies in simpler organisms and population/evolutionary genetics studies are yielding important new insights. Breakthroughs that are being made in understanding the genetic etiology of complex disease tend to involve genes of larger effect or extremely well merited candidates. Linkage studies and proximal phenotypes are being recommended, though the best way forward is still hotly debated. Consequently, many diverse and ambitious projects are underway, from which the data itself will eventually show what is and is not possible.

Genome, Human↗