34 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

    Customer relationship management in competitive environments: The positive implications of a short-term focus

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    Researchers and business thought leaders have emphasized that firms must think and act with a long-term horizon when managing customer relationships. We demonstrate that, in contrast to this widely held view, profits in competitive environments may be maximized when firms ignore the future and instead maximize period-by-period profits from customers. Intuitively, while a long-term focus yields more loyal customers, it greatly increases short-term price competition to gain and keep customers. Consequently, overall firm profits and customer lifetime value may be lower when firms directly maximize multi-period profits from customers. Specifically, we analyze a model with segment-level pricing where firms in a duopoly can choose between period-by-period and multi-period profit maximization and demonstrate that, in many cases, a symmetric focus on period-by-period profit maximization emerges as the Pareto-dominant Nash equilibrium. We extend the model in two directions. First, we demonstrate that this superiority of the short-term focus endures even when a revenue expansion effect applies—that is, when customer loyalty leads to enhanced revenues. Second, we examine the case where customers are strategic and incorporate the long-term implications of their choices into their decision-making. Here we demonstrate that it may pay for firms to be myopic even when customers are strategic. The focus on multi-period surplus makes customers less price sensitive to price variations at the early stage of the game. Consequently, the focus on maximizing period-by-period profits enables the firms to charge higher upfront prices and leverage this lower price sensitivity into higher profits. Overall, our results highlight the paradox that, when it comes to managing customer relationships in competitive environments, a short-term focus may constitute the optimal long-term strategy. Copyright Springer Science+Business Media, LLC 2007Customer relationship management, Game theory, Short-term strategy, Long-term strategy, Competition, C72, D11, D92, M31,

    Hydraulic Jump in Non-Rectangular Channel

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    Sloping Jump

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    Diffusion and Pricing Over the Product Life Cycle

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