23 research outputs found

    Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

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    Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

    Effect of modarate period of progressive anaerobic training on serum level of superoxide dismutase and Catalase in female rats

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    Background and Objective: Different physical activities affect on anti-oxidative system. Varity, period and intensity of activities are necessary in health improvement. This study was carried out to determine the effect of medium period of progressive anaerobic training on serum level of superoxide dismutase and Catalase in female rats. Methods: In this experimental study, 30 female rats were randomly allocated into control and anaerobic training groups. The training program lasted for 8 weeks with control (without activity) and anaerobic including 3 sessions in a week with speed of 24-30 meters per minute in slope range (515) for 30 seconds. Results: Serum level of superoxide dismutase was significantly increased in progressive anaerobic training group (109.1±17.3 U/ml) in compare to controls (98.8±12.8 U/ml) (P<0.05). Serum level of Catalase was 51.2±7.2 and 48.4±4.2 U/ml in control and progressive anaerobic training, respectively. This difference was not significant. Conclusion: The medium period of progressive anaerobic training influences serum level of superoxide dismutase and Catalase in female rats

    Analysis of Wind Speed Forecasting Error Effects on Automatic Generation Control Performance

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    The main goal of this paper is to study statistical indices and evaluate AGC indices in power system which has large penetration of the WTGs. Increasing penetration of wind turbine generations, needs to study more about impacts of it on power system frequency control. Frequency control is changed with unbalancing real-time system generation and load . Also wind turbine generations have more fluctuations and make system more unbalance. Then AGC loop helps to adjust system frequency and the scheduled tie-line powers. The quality of AGC loop is measured by some indices. A good index is a proper measure shows the AGC performance just as the power system operates. One of well-known measures in literature which was introduced by NERC is Control Performance Standards(CPS). Previously it is claimed that a key factor in CPS index is related to standard deviation of generation error, installed power and frequency response. This paper focuses on impact of a several hours-ahead wind speed forecast error on this factor. Furthermore evaluation of conventional control performances in the power systems with large-scale wind turbine penetration is studied. Effects of wind speed standard deviation and also degree of wind farm penetration are analyzed and importance of mentioned factor are criticized. In addition, influence of mean wind speed forecast error on this factor is investigated. The study system is a two area system which there is significant wind farm in one of those. The results show that mean wind speed forecast error has considerable effect on AGC performance while the mentioned key factor is insensitive to this mean error

    Effect of short and medium periods of high intensities aerobic training on serum level of superoxide dismutase and Catalase enzymes in rats

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    Background and Objective: Physical activities affect on antioxidative pathway. Varity, period and intensity of activities are important in health improvement. This study was carried out to determine the effect of short and medium periods of high intensities aerobic training on serum level of superoxide dismutase (SOD) and Catalase (CAT) enzymes in female rats. Methods: In this experimental study, 45 Sprague Dawley female rats were randomly allocated into control, short (4 weeks) and medium (8 weeks) of high intensities aerobic training groups. The exercise program was performed on 5 session in each week with speed of 10-17 meters per minute in slope range (
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