Evaluation of Two Alternative Carbon Capture and Storage Technologies: A Stochastic Model

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miRNA polymorphisms are associated with risk of developing chronic lymphocytic leukemia

Chronic Lymphocytic Leukemia (CLL) is the most frequent leukemia of adults in Western countries and shows a ~8.5-fold increased relative risk in first-degree relatives. Up to date several studies have identified low-penetrance susceptibility alleles in CLL. Nevertheless, these studies scarcely study regions that do not encode proteins such as microRNAs (miRNAs). Abnormalities in miRNAs, as altered expression patterns and mutations, have been described in CLL, suggesting their implication in the development of the disease. Polymorphisms in these miRNAs may deregulate miRNAs expression levels and affect to the miRNA function. However, despite accumulating evidence that inherited genetic variation in miRNA genes can contribute to the predisposition for CLL, the role of these in the risk of CLL has not been extensively studied. Therefore, the aim of this study was to find new genetic markers of risk to CLL. To that end, we made a systematic search for SNPs in miRNAs and miRNAs deregulated in CLL and genotyped 213 polymorphisms in 401 samples of Spanish individuals. The literature search resulted in more than 100 miRNAs deregulated in CLL and 43 polymorphisms studied in the disease. Out of 213 genotyped SNPs, 13 showed to be significantly associated with CLL risk. rs2682818 in pre-mature miR618 was the most significant result, with 0.49 fold decreased risk to CLL. Interestingly, a previous study associated this SNP with an increased risk of developing follicular lymphoma. Secondly, rs10173558 SNP in mir- 1302-4 showed the highest risk association, with a 5.24 fold increased risk, but there were no previous works studying it. Finally, rs61992671 in miR412, previously associated with CLL risk, showed also association in our sample. In conclusion, we find 13 alleles which could contribute to the risk of CLL. However, new large-scale studies including functional analyses will be needed to validate our findings.

Analysis of the housing market in the autonomous community of the Basque country: the adjustment after the burst of the housing bubble

In this project study the characteristic and dynamics of the residential housing market in the Basque country. When strong expansion and colapsing emerged in 2007,studied the differents adjustment.

Valuation of Wind Energy Projects: A Real Options Approach

We address the valuation of an operating wind farm and the finite-lived option to invest in it under different reward/support schemes: a constant feed-in tariff, a premium on top of the electricity market price (either a fixed premium or a variable subsidy such as a renewable obligation certificate or ROC), and a transitory subsidy, among others. Futures contracts on electricity with ever longer maturities enable market-based valuations to be undertaken. The model considers up to three sources of uncertainty: the electricity price, the level of wind generation, and the certificate (ROC) price where appropriate. When analytical solutions are lacking, we resort to a trinomial lattice combined with Monte Carlo simulation; we also use a two-dimensional binomial lattice when uncertainty in the ROC price is considered. Our data set refers to the UK. The numerical results show the impact of several factors involved in the decision to invest: the subsidy per MWh generated, the initial lump-sum subsidy, the maturity of the investment option, and electricity price volatility. Different combinations of variables can help bring forward investments in wind generation. One-off policies, e.g., a transitory initial subsidy, seem to have a stronger effect than a fixed premium per MWh produced.