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Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
Jede Software ist "Social"
(2010)
A Procedural Model for the Production of reusable and standard-compliant E-Learning Offerings
(2005)
Cost-efficient production of high-quality learning contents is an important success factor for a sustainable and economic realisation of E-Learning. This necessitates the design of sustainable production processes, which create reusable Learning Objects and require minimal resources. In such a context, this contribution introduces a practical and business-process oriented Procedural Model for the Production of reusable and standard-compliant E-Learning Offerings. It has been developed and applied in a project that produces learning contents for a Master program of an international virtual university. After the introduction of a reengineering method, a special analysis instrument for E-Learning has been designed to analyse the existing production processes and to improve them in terms of efficiency, costs, standard- compliance, and process automation. The method introduced is hence not focussing on individual technical solutions but on the efficiency of the whole E-Learning production and value chain. It gives an orientation for establishing and maintaining sustainable and competitive E-Learning production processes with appropriate effort.