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  • 1
    Publication Date: 2007-05-05
    Description: The global endemic of cardiovascular diseases calls for improved risk assessment and treatment. Here, we describe an association between myocardial infarction (MI) and a common sequence variant on chromosome 9p21. This study included a total of 4587 cases and 12,767 controls. The identified variant, adjacent to the tumor suppressor genes CDKN2A and CDKN2B, was associated with the disease with high significance. Approximately 21% of individuals in the population are homozygous for this variant, and their estimated risk of suffering myocardial infarction is 1.64 times as great as that of noncarriers. The corresponding risk is 2.02 times as great for early-onset cases. The population attributable risk is 21% for MI in general and 31% for early-onset cases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Helgadottir, Anna -- Thorleifsson, Gudmar -- Manolescu, Andrei -- Gretarsdottir, Solveig -- Blondal, Thorarinn -- Jonasdottir, Aslaug -- Jonasdottir, Adalbjorg -- Sigurdsson, Asgeir -- Baker, Adam -- Palsson, Arnar -- Masson, Gisli -- Gudbjartsson, Daniel F -- Magnusson, Kristinn P -- Andersen, Karl -- Levey, Allan I -- Backman, Valgerdur M -- Matthiasdottir, Sigurborg -- Jonsdottir, Thorbjorg -- Palsson, Stefan -- Einarsdottir, Helga -- Gunnarsdottir, Steinunn -- Gylfason, Arnaldur -- Vaccarino, Viola -- Hooper, W Craig -- Reilly, Muredach P -- Granger, Christopher B -- Austin, Harland -- Rader, Daniel J -- Shah, Svati H -- Quyyumi, Arshed A -- Gulcher, Jeffrey R -- Thorgeirsson, Gudmundur -- Thorsteinsdottir, Unnur -- Kong, Augustine -- Stefansson, Kari -- New York, N.Y. -- Science. 2007 Jun 8;316(5830):1491-3. Epub 2007 May 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉deCODE genetics, Sturlugata 8, IS-101 Reykjavik, Iceland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17478679" target="_blank"〉PubMed〈/a〉
    Keywords: Age of Onset ; Aged ; Case-Control Studies ; Chromosome Mapping ; Chromosomes, Human, Pair 9/*genetics ; Coronary Artery Disease/genetics ; Female ; Genes, p16 ; *Genetic Predisposition to Disease ; *Genetic Variation ; Genotype ; Haplotypes ; Heterozygote ; Homozygote ; Humans ; Linkage Disequilibrium ; Male ; Middle Aged ; Myocardial Infarction/*genetics ; *Polymorphism, Single Nucleotide ; Risk Factors
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Biotechnology and Bioengineering 42 (1993), S. 59-73 
    ISSN: 0006-3592
    Keywords: Escherichia coli ; amino acids ; nucleotides ; biosynthesis ; linear optimization ; metabolic fluxes ; metabolic engineering ; stoichiometry ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Microbial metabolism provides at mechanism for the conversion of substrates into useful biochemicals. Utilization of microbes in industrial processes requires a modification of their natural metabolism in order to increase the efficiency of the desired conversion. Redirection of metabolic fluxes forms the basis of the newly defined field of metabolic engineering. In this study we use a flux balance based approach to study the biosynthesis of the 20 amino acids and 4 nucleotides as biochemical products. These amino acids and nucleotides are primary products of biosynthesis as well as important industrial products and precursors for the production of other biochemicals. The biosynthetic reactions of the bacterium Escherichia coli have been formulated into a metabolic network, and growth has been defined as a balanced drain on the metabolite pools corresponding to the cellular composition. Theoretical limits on the conversion of glucose, glycerol, and acetate substrates to biomass as well as the biochemical products have been computed. The substrate that results in the maximal carbon conversion to a particular product is identified. Criteria have been developed to identify metabolic constraints in the optimal solutions. The constraints of stoichiometry, energy, and redox have been determined in the conversions of glucose, glycerol, and acetate substrates into the biochemicals. Flux distributions corresponding to the maximal production of the biochemicals are presented. The goals of metabolic engineering are the optimal redirection of fluxes from generating biomass toward producing the desired biochemical. Optimal biomass generation is shown to decrease in a piecewise linear manner with increasing product formation. In some cases, synergy is observed between biochemical production and growth, leading to an increased overall carbon conversion. Balanced growth and product formation are important in a bioprocess, particularly for nonsecreted products. © 1993 John Wiley & Sons, Inc.
    Additional Material: 5 Ill.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Biotechnology and Bioengineering 58 (1998), S. 162-169 
    ISSN: 0006-3592
    Keywords: bioinformatics ; metabolic engineering ; genetic engineering ; mathematical analysis ; stoichiometry ; enzyme kinetics ; modal analysis ; genetic circuits ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Ten microbial genomes have been fully sequenced to date, and the sequencing of many more genomes is expected to be completed before the end of the century. The assignment of function to open reading frames (ORFs) is progressing, and for some genomes over 70% of functional assignments have been made. The majority of the assigned ORFs relate to metabolic functions. Thus, the complete genetic and biochemical functions of a number of microbial cells may be soon available. From a metabolic engineering standpoint, these developments open a new realm of possibilities. Metabolic analysis and engineering strategies can now be built on a sound genomic basis. An important question that now arises; how should these tasks be approached? Flux-balance analysis (FBA) has the potential to play an important role. It is based on the fundamental principle of mass conservation. It requires only the stoichiometric matrix, the metabolic demands, and some strain specific parameters. Importantly, no enzymatic kinetic data is required. In this article, we show how the genomically defined microbial metabolic genotypes can be analyzed by FBA. Fundamental concepts of metabolic genotype, metabolic phenotype, metabolic redundancy and robustness are defined and examples of their use given. We discuss the advantage of this approach, and how FBA is expected to find uses in the near future. FBA is likely to become an important analysis tool for genomically based approaches to metabolic engineering, strain design, and development. © 1998 John Wiley & Sons, Inc. Biotechnol Bioeng 58:162-169, 1998.
    Additional Material: 4 Ill.
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  • 4
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Biotechnology and Bioengineering 43 (1994), S. 275-285 
    ISSN: 0006-3592
    Keywords: Escherichia coli ; amino acids ; linear optimization ; metabolic fluxes ; metabolic engineering ; culture stability ; oxygen ; Chemistry ; Biochemistry and Biotechnology
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: The simultaneous growth and product formation in a microbial culture is an important feature of several laboratory, industrial, and environmental bioprocesses. Metabolic burden associated with product formation in these bioprocesses may lead to growth advantage of a nonproducing mutant leading to a loss of the producing population over time. A simple population dynamics model demonstrates the extreme sensitivity of population stability to the engineered productivity of a strain. Here we use flux balance analysis to estimate the effects of the metabolic burden associated with product secretion on optimal growth rates. Comparing the optimal growth rates of the producing and nonproducing strains under a given processing condition allows us to predict the population stability. In order to increase stability of an engineered strain, we determine processing conditions that simultaneously maximize the growth rate of the producing population while minimizing the growth rate of a nonproducing population. Using valine, tryptophan, and lysine production as specific examples, we demonstrate that although an appropriate choice of oxygenation may increase culture longevity more than twofold, total production as governed by economic criterion can be increased by several orders of magnitude. Choice of optimal nutrient and oxygen supply rates to enhance stability is important both for strain screening as well as for culture of engineered strains. Appropriate design of the culture environment can thus be used to enhance the productivity of bioprocesses that use engineered production strains. © 1994 John Wiley & Sons, Inc.
    Additional Material: 11 Ill.
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  • 5
    Publication Date: 2008-02-09
    Description: Previous studies have reported that related human couples tend to produce more children than unrelated couples but have been unable to determine whether this difference is biological or stems from socioeconomic variables. Our results, drawn from all known couples of the Icelandic population born between 1800 and 1965, show a significant positive association between kinship and fertility, with the greatest reproductive success observed for couples related at the level of third and fourth cousins. Owing to the relative socioeconomic homogeneity of Icelanders, and the observation of highly significant differences in the fertility of couples separated by very fine intervals of kinship, we conclude that this association is likely to have a biological basis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Helgason, Agnar -- Palsson, Saebjorn -- Gudbjartsson, Daniel F -- Kristjansson, Thornordur -- Stefansson, Kari -- New York, N.Y. -- Science. 2008 Feb 8;319(5864):813-6. doi: 10.1126/science.1150232.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉deCODE Genetics, Sturlugata 8, 101 Reykjavik, Iceland. agnar@decode.is〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18258915" target="_blank"〉PubMed〈/a〉
    Keywords: Consanguinity ; *Family ; *Family Characteristics ; Female ; *Fertility ; Humans ; Iceland ; Male ; Socioeconomic Factors
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2008-02-02
    Description: The genome-wide recombination rate varies between individuals, but the mechanism controlling this variation in humans has remained elusive. A genome-wide search identified sequence variants in the 4p16.3 region correlated with recombination rate in both males and females. These variants are located in the RNF212 gene, a putative ortholog of the ZHP-3 gene that is essential for recombinations and chiasma formation in Caenorhabditis elegans. It is noteworthy that the haplotype formed by two single-nucleotide polymorphisms (SNPs) associated with the highest recombination rate in males is associated with a low recombination rate in females. Consequently, if the frequency of the haplotype changes, the average recombination rate will increase for one sex and decrease for the other, but the sex-averaged recombination rate of the population can stay relatively constant.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kong, Augustine -- Thorleifsson, Gudmar -- Stefansson, Hreinn -- Masson, Gisli -- Helgason, Agnar -- Gudbjartsson, Daniel F -- Jonsdottir, Gudrun M -- Gudjonsson, Sigurjon A -- Sverrisson, Sverrir -- Thorlacius, Theodora -- Jonasdottir, Aslaug -- Hardarson, Gudmundur A -- Palsson, Stefan T -- Frigge, Michael L -- Gulcher, Jeffrey R -- Thorsteinsdottir, Unnur -- Stefansson, Kari -- New York, N.Y. -- Science. 2008 Mar 7;319(5868):1398-401. doi: 10.1126/science.1152422. Epub 2008 Jan 31.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉deCODE Genetics Inc, 101 Reykjavik, Iceland. kong@decode.is〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18239089" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Chromosomes, Human, Pair 4/*genetics ; Fathers ; Female ; *Genome, Human ; Haplotypes ; Humans ; Linkage Disequilibrium ; Male ; Meiosis ; Molecular Sequence Data ; Mothers ; Polymorphism, Single Nucleotide ; *Recombination, Genetic ; Sex Characteristics ; Synaptonemal Complex/metabolism ; Ubiquitin-Protein Ligases/*genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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