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  • C68 - Computable General Equilibrium Models, Q11 - Aggregate Supply and Demand Analysis  (1)
  • Chromatin and Epigenetics, Genomics  (1)
  • Oxford University Press  (2)
  • Nature Publishing Group
  • 1
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    Technology adoption under US biofuel policies: do producers, consumers or taxpayers benefit? (2011)
    Oxford University Press
    Details
    Publication Date: 2011-12-27
    Description: The beneficiaries of technology adoption in agriculture and biofuel markets in the United States are heavily influenced by biofuel policies and market context. Biofuel mandates, one of the key pillars of domestic biofuel policies, may significantly alter the elasticity of demand for biofuels as well as the derived demand for maize used to produce a significant share of ethanol in the United States. Using a stochastic agriculture and biofuel model, it is determined that market context relative to biofuel policy is critically important in understanding the winners and losers from technology adoption. The results for both feedstock and biofuel producers as well as the US tax payers are used to discuss implications for the analysis of EU biofuel policies.
    Keywords: C68 - Computable General Equilibrium Models, Q11 - Aggregate Supply and Demand Analysis ; Prices, Q48 - Government Policy
    Print ISSN: 0165-1587
    Electronic ISSN: 1464-3618
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
    Published by Oxford University Press
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    SNP-guided identification of monoallelic DNA-methylation events from enrichment-based sequencing data (2014)
    Oxford University Press
    Details
    Publication Date: 2014-11-12
    Description: Monoallelic gene expression is typically initiated early in the development of an organism. Dysregulation of monoallelic gene expression has already been linked to several non-Mendelian inherited genetic disorders. In humans, DNA-methylation is deemed to be an important regulator of monoallelic gene expression, but only few examples are known. One important reason is that current, cost-affordable truly genome-wide methods to assess DNA-methylation are based on sequencing post-enrichment. Here, we present a new methodology based on classical population genetic theory, i.e. the Hardy–Weinberg theorem, that combines methylomic data from MethylCap-seq with associated SNP profiles to identify monoallelically methylated loci. Applied on 334 MethylCap-seq samples of very diverse origin, this resulted in the identification of 80 genomic regions featured by monoallelic DNA-methylation. Of these 80 loci, 49 are located in genic regions of which 25 have already been linked to imprinting. Further analysis revealed statistically significant enrichment of these loci in promoter regions, further establishing the relevance and usefulness of the method. Additional validation was done using both 14 whole-genome bisulfite sequencing data sets and 16 mRNA-seq data sets. Importantly, the developed approach can be easily applied to other enrichment-based sequencing technologies, like the ChIP-seq-based identification of monoallelic histone modifications.
    Keywords: Chromatin and Epigenetics, Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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