52 resultados para Hamilton, Lindsay


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Smoking is a leading global cause of disease and mortality. We established the Oxford-GlaxoSmithKline study (Ox-GSK) to perform a genome-wide meta-analysis of SNP association with smoking-related behavioral traits. Our final data set included 41,150 individuals drawn from 20 disease, population and control cohorts. Our analysis confirmed an effect on smoking quantity at a locus on 15q25 (P = 9.45 x 10(-19)) that includes CHRNA5, CHRNA3 and CHRNB4, three genes encoding neuronal nicotinic acetylcholine receptor subunits. We used data from the 1000 Genomes project to investigate the region using imputation, which allowed for analysis of virtually all common SNPs in the region and offered a fivefold increase in marker density over HapMap2 (ref. 2) as an imputation reference panel. Our fine-mapping approach identified a SNP showing the highest significance, rs55853698, located within the promoter region of CHRNA5. Conditional analysis also identified a secondary locus (rs6495308) in CHRNA3.

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The Manival near Grenoble (French Prealps) is a very active debris-flow torrent equipped with a large sediment trap (25 000 m3) protecting an urbanized alluvial fan from debris-flows. We began monitoring the sediment budget of the catchment controlled by the trap in Spring 2009. Terrestrial laser scanner is used for monitoring topographic changes in a small gully, the main channel, and the sediment trap. In the main channel, 39 cross-sections are surveyed after every event. Three periods of intense geomorphic activity are documented here. The first was induced by a convective storm in August 2009 which triggered a debris-flow that deposited ~1,800 m3 of sediment in the trap. The debris-flow originated in the upper reach of the main channel and our observations showed that sediment outputs were entirely supplied by channel scouring. Hillslope debris-flows were initiated on talus slopes, as revealed by terrestrial LiDAR resurveys; however they were disconnected to the main channel. The second and third periods of geomorphic activity were induced by long duration and low intensity rainfall events in September and October 2009 which generate small flow events with intense bedload transport. These events contribute to recharge the debris-flow channel with sediments by depositing important gravel dunes propagating from headwaters. The total recharge in the torrent subsequent to bedload transport events was estimated at 34% of the sediment erosion induced by the August debris-flow.

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Neuropeptides appear to play a role in the pathophysiology of depression and electroconvulsive treatment and lithium affect these compounds in human cerebrospinal fluid (CSF) and rodent brain. Consequently, we investigated whether long-term treatment with the selective serotonin reuptake inhibitor (SSRI) citalopram (Cit) would also affect neuropeptides in CSF of depressed patients. Changes in CSF monoamine metabolites were also explored. CSF concentrations of corticotropin-releasing hormone (CRH)-like immunoreactivity (-LI), neuropeptide Y (NPY)-LI, and Cit were determined in 21 patients with major depression. Lumbar puncture was performed in the morning at baseline and was repeated after at least 4 wk of Cit treatment (40 mg/d). The severity of depression was assessed by the Hamilton Rating Scale for Depression (HAMD). Cit treatment was associated with a significant increase in NPY-LI and decrease in CRH-LI. An evaluation of the relationship between changes in concentrations of NPY-LI, CRH-LI, and the clinical response showed significant correlations between these parameters. Significant NPY and CRH changes in CSF following treatment as well as correlations to changes in HAMD support the hypothesis that these two peptides play a role in affective disorders and are markers of therapeutic response.

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Natural selection favours the genes which are able to introduce replicates of themselves in the next generation with higher certainty than do rival genes (Hamilton 1963). The fitness of an individual, it?s ability to produce future parents, depends on it?s own behaviour as well as on the behaviour of other individuals in the population. For instance, the intensity of competition an individual experience depends on the exploitation of resources by neighbours. The fitness is thus frequency dependent on what neighbours do. Behaviours can be classified according to the costs and benefits they have on the fitness of the behaver and it?s neighbours (Hamilton 1964, Hamilton 1975). According to this classification there exist four distinct social behaviours. (1) A gene confering the ability to use a new ressource is called selfish because it has a positive e_ect on the bearer of the gene but a negative e_ect on neighbours by the concomitant increase in competition. (2) An altruistic behaviour is defined as an action where an individual increases the fitness of a neighbour at the expense of it?s own. The e_ect is deleterious for the actor but positive for the receptor. (3) More surprinsingly, an individual might sacrifice a fraction of it?s ressources to harm another at no direct benefits. This spitefull behaviour incurs a cost for the actor but is also deleterious for the receptor. (4) Finally a cooperative behaviour breeds benefits for both actors and neighbours. In this thesis I will continue on the path traced by numerous evolutionnary biologist which attempt to fine tune our understanding of the evolution of social behaviours since Hamilton?s foundation (1963, 1964). A critical development over the last 40 years has been the realisation that competition between kin can partly or completely cancel out the role of relatedness as an agent favouring altruism (Wilson et al., 1992; Taylor, 1992a,b). Of importance is thus to determine the scale at which competition and altruism occur. One mechanism avoiding the complete dilution of relatedness by competition is the conditionnal expression of the social behaviors. Focus will be given in this thesis at the role played by di_erent recognition mechanism in paving the way to altruism (Komdeur and Hatchwell, 1999) when the population has a spatial structure. Further, the evolution of spite will also be considered in these settings. The thesis is fractionated into two parts. First, di_erent models promoting altruism cooperation and spite will be compared under the same theoretical umbrella. This is a rather informal and more personnal part of my thesis. It also serve as a justification and basis to "Altruism among kin and non-kin individuals" which is an article attempting to clas- sify the mechanisms leading to altruism and cooperation. Second, in the annexe, there are three research papers about kin selection, altruism and dispersal: "Is sociality driven by the costs of dispersal or the benefits of philopatry?: A role for kin-discrimination mechanism", "Altruism, dispersal and phenotype kin recognition" and "Inbreeding avoidance through kin recognition: choosy female boost male dispersal" this last paper incorporates kin recognition as an agent favoring sex-biased dispersal.

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We consider robust parametric procedures for univariate discrete distributions, focusing on the negative binomial model. The procedures are based on three steps: ?First, a very robust, but possibly inefficient, estimate of the model parameters is computed. ?Second, this initial model is used to identify outliers, which are then removed from the sample. ?Third, a corrected maximum likelihood estimator is computed with the remaining observations. The final estimate inherits the breakdown point (bdp) of the initial one and its efficiency can be significantly higher. Analogous procedures were proposed in [1], [2], [5] for the continuous case. A comparison of the asymptotic bias of various estimates under point contamination points out the minimum Neyman's chi-squared disparity estimate as a good choice for the initial step. Various minimum disparity estimators were explored by Lindsay [4], who showed that the minimum Neyman's chi-squared estimate has a 50% bdp under point contamination; in addition, it is asymptotically fully efficient at the model. However, the finite sample efficiency of this estimate under the uncontaminated negative binomial model is usually much lower than 100% and the bias can be strong. We show that its performance can then be greatly improved using the three step procedure outlined above. In addition, we compare the final estimate with the procedure described in

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We apply the cognitive hierarchy model of Camerer et al. (Q J Econ 119(3):861-898, 2004)-where players have different levels of reasoning-to Huck et al. (Games Econ Behav 38:240-264, 2002) discrete version of Hamilton and Slutsky (Games Econ Behav 2:29-46, 1990) action commitment game-a duopoly with endogenous timing of entry. We show that, for an empirically reasonable average number of thinking steps, the model rules out Stackelberg equilibria, generates Cournot outcomes including delay, and outcomes where the first mover commits to a quantity higher than Cournot but lower than Stackelberg leader. We show that a cognitive hierarchy model with quantal responses can explain the most important features of the experimental data on the action commitment game in (2002). In order to gauge the success of the model in fitting the data, we compare it to a noisy Nash model. We find that the cognitive hierarchy model with quantal responses fits the data better than the noisy Nash model.

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Using a social identity theory approach, we theorized that recruiters might be particularly biased against skilled immigrant applicants. We refer to this phenomenon as a skill paradox, according to which immigrants are more likely to be targets of employment discrimination the more skilled they are. Furthermore, building on the common ingroup identity model, we proposed that this paradox can be resolved through human resource management (HRM) strategies that promote inclusive hiring practices (e.g., by emphasizing fit with a diverse clientele). The results from a laboratory experiment were consistent with our predictions: Local recruiters preferred skilled local applicants over skilled immigrant applicants, but only when these applicants were qualified for a specific job. This bias against qualified and skilled immigrant applicants was attenuated when fit with a diverse clientele was emphasized, but not when fit with a homogeneous clientele was emphasized or when the hiring strategy was not explained. We discuss the implications of our findings for research on employment discrimination against skilled immigrants, including the role of inclusiveness for reducing discriminatory biases.