Successful Careers in Football – Findings of a Person-Oriented Study

A successful career in football is the result of the appropriate interaction between different aspects of an individual’s life, since the various areas and phases of one’s life depend on each other. An endogenous causal relationship exists throughout a person’s entire history (Mayer, 1990). In particular, their family, work and sports career must be tuned to each other. The transition from the initial stages of education (compulsory schooling) to vocational training, which coincides with the beginning of the selection for the national youth teams, is a particularly critical phase (Wylleman, Theeboom, & Lavallee, 2004). In order to do justice to the overall life situation of a young sports talent during this transition phase, we have adopted a holistic perspective and follow Bergman, Magnusson and El-Khouri (2003) in using a person-oriented and systemic approach. In doing so, our main focus lies on the person-environment system. This overall system is made up of various subsystems, consisting of several operating factors which interact with one another. The different levels to which these operating factors are expressed lead to observable patterns, which can be summarised in the form of types. Particularly promising types can therefore be identified and the developmental process can be described. Former players on the Swiss U16 to U21 national football teams, born between 1981 and 1987 (n=159), were interviewed concerning their careers, and the operating factors school/vocational training, family support and sports environment were examined. With the help of the LICUR method (Linking of Clusters after removal of Residue) (Bergman et al., 2003), developmental types were identified which were promising in terms of achieving top performance in adulthood. A range of developmental types and anti-types emerge for the transition from the under-15 phase to the over-16 phase. One particularly promising type is observed in the over-16 phase, for which the operating factors education, family support and participation in national U16 to U18 teams have slightly above-average scores, with scores that are well above average in the sports environment.

BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES

Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we are now able to more accurately assess causal effects of many genetic and environmental factors. Genome-wide association studies have been able to localize many causal genetic variants predisposing to certain diseases. However, these studies only explain a small portion of variations in the heritability of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing computational capabilities and novel statistical developments, Bayesian methods have been widely applied in the genetics/genomics researches and demonstrating superiority over some regular approaches in certain research areas. Gene-environment and gene-gene interaction studies are among the areas where Bayesian methods may fully exert its functionalities and advantages. This dissertation focuses on developing new Bayesian statistical methods for data analysis with complex gene-environment and gene-gene interactions, as well as extending some existing methods for gene-environment interactions to other related areas. It includes three sections: (1) Deriving the Bayesian variable selection framework for the hierarchical gene-environment and gene-gene interactions; (2) Developing the Bayesian Natural and Orthogonal Interaction (NOIA) models for gene-environment interactions; and (3) extending the applications of two Bayesian statistical methods which were developed for gene-environment interaction studies, to other related types of studies such as adaptive borrowing historical data. We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions (epistasis) and gene by environment interactions in the same model. It is well known that, in many practical situations, there exists a natural hierarchical structure between the main effects and interactions in the linear model. Here we propose a model that incorporates this hierarchical structure into the Bayesian mixture model, such that the irrelevant interaction effects can be removed more efficiently, resulting in more robust, parsimonious and powerful models. We evaluate both of the 'strong hierarchical' and 'weak hierarchical' models, which specify that both or one of the main effects between interacting factors must be present for the interactions to be included in the model. The extensive simulation results show that the proposed strong and weak hierarchical mixture models control the proportion of false positive discoveries and yield a powerful approach to identify the predisposing main effects and interactions in the studies with complex gene-environment and gene-gene interactions. We also compare these two models with the 'independent' model that does not impose this hierarchical constraint and observe their superior performances in most of the considered situations. The proposed models are implemented in the real data analysis of gene and environment interactions in the cases of lung cancer and cutaneous melanoma case-control studies. The Bayesian statistical models enjoy the properties of being allowed to incorporate useful prior information in the modeling process. Moreover, the Bayesian mixture model outperforms the multivariate logistic model in terms of the performances on the parameter estimation and variable selection in most cases. Our proposed models hold the hierarchical constraints, that further improve the Bayesian mixture model by reducing the proportion of false positive findings among the identified interactions and successfully identifying the reported associations. This is practically appealing for the study of investigating the causal factors from a moderate number of candidate genetic and environmental factors along with a relatively large number of interactions. The natural and orthogonal interaction (NOIA) models of genetic effects have previously been developed to provide an analysis framework, by which the estimates of effects for a quantitative trait are statistically orthogonal regardless of the existence of Hardy-Weinberg Equilibrium (HWE) within loci. Ma et al. (2012) recently developed a NOIA model for the gene-environment interaction studies and have shown the advantages of using the model for detecting the true main effects and interactions, compared with the usual functional model. In this project, we propose a novel Bayesian statistical model that combines the Bayesian hierarchical mixture model with the NOIA statistical model and the usual functional model. The proposed Bayesian NOIA model demonstrates more power at detecting the non-null effects with higher marginal posterior probabilities. Also, we review two Bayesian statistical models (Bayesian empirical shrinkage-type estimator and Bayesian model averaging), which were developed for the gene-environment interaction studies. Inspired by these Bayesian models, we develop two novel statistical methods that are able to handle the related problems such as borrowing data from historical studies. The proposed methods are analogous to the methods for the gene-environment interactions on behalf of the success on balancing the statistical efficiency and bias in a unified model. By extensive simulation studies, we compare the operating characteristics of the proposed models with the existing models including the hierarchical meta-analysis model. The results show that the proposed approaches adaptively borrow the historical data in a data-driven way. These novel models may have a broad range of statistical applications in both of genetic/genomic and clinical studies.

Some vocabulary and grammar for the analysis of multi-environment trials, as applied to the analysis of FPB and PPB trials

For the improvement of genetic material suitable for on farm use under low-input conditions, participatory and formal plant breeding strategies are frequently presented as competing options. A common frame of reference to phrase mechanisms and purposes related to breeding strategies will facilitate clearer descriptions of similarities and differences between participatory plant breeding and formal plant breeding. In this paper an attempt is made to develop such a common framework by means of a statistically inspired language that acknowledges the importance of both on farm trials and research centre trials as sources of information for on farm genetic improvement. Key concepts are the genetic correlation between environments, and the heterogeneity of phenotypic and genetic variance over environments. Classic selection response theory is taken as the starting point for the comparison of selection trials (on farm and research centre) with respect to the expected genetic improvement in a target environment (low-input farms). The variance-covariance parameters that form the input for selection response comparisons traditionally come from a mixed model fit to multi-environment trial data. In this paper we propose a recently developed class of mixed models, namely multiplicative mixed models, also called factor-analytic models, for modelling genetic variances and covariances (correlations). Mixed multiplicative models allow genetic variances and covariances to be dependent on quantitative descriptors of the environment, and confer a high flexibility in the choice of variance-covariance structure, without requiring the estimation of a prohibitively high number of parameters. As a result detailed considerations regarding selection response comparisons are facilitated. ne statistical machinery involved is illustrated on an example data set consisting of barley trials from the International Center for Agricultural Research in the Dry Areas (ICARDA). Analysis of the example data showed that participatory plant breeding and formal plant breeding are better interpreted as providing complementary rather than competing information.

The E(NK) model: extending the NK model to incorporate gene-by-environment interactions and epistasis for diploid genomes

The haploid NK model developed by Kauffman can be extended to diploid genomes and to incorporate gene-by-environment interaction effects in combination with epistasis. To provide the flexibility to include a wide range of forms of gene-by-environment interactions, a target population of environment types (TPE) is defined. The TPE consists of a set of E different environment types, each with their own frequency of occurrence. Each environment type conditions a different NK gene network structure or series of gene effects for a given network structure, providing the framework for defining gene-by-environment interactions. Thus, different NK models can be partially or completely nested within the E environment types of a TPE, giving rise to the E(NK) model for a biological system. With this model it is possible to examine how populations of genotypes evolve in context with properties of the environment that influence the contributions of genes to the fitness values of genotypes. We are using the E(NK) model to investigate how both epistasis and gene-by-environment interactions influence the genetic improvement of quantitative traits by plant breeding strategies applied to agricultural systems. © 2002 Wiley Periodicals, Inc.

New strategies to detect and understand genotype-by-environment interactions and QTL-by-environment interactions

Dissertação para obtenção do Grau de Doutor em Estatística e Gestão do Risco, especialidade em Estatística

Efficacité du counseling d'orientation: impacts de l'alliance de travail et du contexte psychosocial

La problématique centrale de cette thèse de doctorat est l'efficacité de l'accompagnement à l'orientation. Elle renvoie en particulier à la multiplicité des types d'interventions ainsi qu'aux tensions entre les finalités de l'orientation qui rendent improbable une mesure univoque et objective de l'efficacité des pratiques. Le «mythe » de l'efficacité trouve notamment sa source dans le persistent monopole du modèle de l'appariement qui a largement influencé le développement de la discipline. Le manuscrit est basé sur deux études empiriques. Premièrement, « voies professionnelles » est une étude longitudinale visant l'évaluation de l'efficacité d'un service de counseling d'orientation au travers de mesures intraindividuelles. Les résultats immédiats (pre-post) indiquent une forte diminution de l'indécision vocationnelle des consultants ainsi qu'une augmentation de leur bien-être. Les résultats longitudinaux sur un an indiquent une évolution positive des difficultés plus ancrées ainsi qu'un fort taux d'implémentation des projets professionnels. La qualité de l'alliance de travail démontre un impact positif sur l'efficacité de la démarche. Deuxièmement, l'étude « orientation et genre » a permis de mettre en évidence un effet d'interaction entre le sexe et le niveau scolaire d'élèves en fin de scolarité sur leurs profils d'intérêts professionnels. Ce résultat affecte en particulier les jeunes filles dans une filière à exigences élémentaires car ces deux identités psychosociales semblent restreindre doublement les options professionnelles envisageables. Les deux études ont permis de soulever cinq implications centrales : (1) La distinction entre les aspects cognitifs et émotionnels de l'indécision vocationnelle est importante. En particulier, la préparation au choix est un construit qui nécessite clarification ; (2) Les processus de transitions professionnelles ainsi que leur accompagnement doivent être considérés dans leur dimension temporelle ; (3) L'interconnexion des différentes sphères de vie est centrale dans les processus d'orientation et leur accompagnement ; (4) L'efficacité du conseil en orientation est affectée par la qualité des aspects relationnels ; (5) La complexité des pratiques et de leurs finalités confronte l'orientation à son rôle envers des identités psychosociales fragilisées. - The central issue of this doctoral thesis is the effectiveness of career counseling and guidance. In particular, this refers to the many types of career interventions as well as the tensions between their objectives. Those aspects make it unlikely to get an unambiguous and objective measure of the effectiveness of career practices. The "myth of efficiency" is particularly rooted in the persistent monopoly of person-environment fit models, which greatly influenced the development of the discipline. This manuscript is based on two empirical studies. First, "career paths" is a longitudinal study looking at the effectiveness of a career counseling service through intraindividual measures. Pre-post impacts showed a significant decrease in clients' vocational indecision as well as a moderate increase in their well-being. The one year-longitudinal results highlighted significant decreases in more constant decision-making difficulties with a high proportion of clients having implemented their professional projects. The quality of the working alliance had a positive impact on the effectiveness of the intervention. The second study, "vocational development and gender" highlighted an interaction effect between late schoolchildren's gender and school level on their professional interests profile. This result particularly affected girls at a low school level, because these psychosocial identities were a double restraint in restricting career options. The two studies raised five central implications: (1) The distinction between cognitive and emotional aspects of vocational indecision is important. In particular, readiness to make a choice is a construct that requires clarification; (2) career transitions processes as well as supporting these transitions, should be considered in their temporal dimension (3) the interconnection of different spheres of life is central to vocational development and career guidance and counseling; (4) the effectiveness of career counseling is affected by the quality of the relational aspects in the intervention; (5) and the complexity of career interventions and their objectives forces practitioners to consider their role and responsibilities towards clients with marginalized psychosocial identities.

Environment-dependent microevolution in a Mediterranean pine (Pinus pinaster Aiton).

BACKGROUND: A central question for understanding the evolutionary responses of plant species to rapidly changing environments is the assessment of their potential for short-term (in one or a few generations) genetic change. In our study, we consider the case of Pinus pinaster Aiton (maritime pine), a widespread Mediterranean tree, and (i) test, under different experimental conditions (growth chamber and semi-natural), whether higher recruitment in the wild from the most successful mothers is due to better performance of their offspring; and (ii) evaluate genetic change in quantitative traits across generations at two different life stages (mature trees and seedlings) that are known to be under strong selection pressure in forest trees. RESULTS: Genetic control was high for most traits (h2 = 0.137-0.876) under the milder conditions of the growth chamber, but only for ontogenetic change (0.276), total height (0.415) and survival (0.719) under the more stressful semi-natural conditions. Significant phenotypic selection gradients were found in mature trees for traits related to seed quality (germination rate and number of empty seeds). Moreover, female relative reproductive success was significantly correlated with offspring performance for specific leaf area (SLA) in the growth chamber experiment, and stem mass fraction (SMF) in the experiment under semi-natural conditions, two adaptive traits related to abiotic stress-response in pines. Selection gradients based on genetic covariance of seedling traits and responses to selection at this stage involved traits related to biomass allocation (SMF) and growth (as decomposed by a Gompertz model) or delayed ontogenetic change, depending also on the testing environment. CONCLUSIONS: Despite the evidence of microevolutionary change in adaptive traits in maritime pine, directional or disruptive changes are difficult to predict due to variable selection at different life stages and environments. At mature-tree stages, higher female effective reproductive success can be explained by differences in their production of offspring (due to seed quality) and, to a lesser extent, by seemingly better adapted seedlings. Selection gradients and responses to selection for seedlings also differed across experimental conditions. The distinct processes involved at the two life stages (mature trees or seedlings) together with environment-specific responses advice caution when predicting likely evolutionary responses to environmental change in Mediterranean forest trees.

Results from a multicentre international registry of familial Mediterranean fever: impact of environment on the expression of a monogenic disease in children.

BACKGROUND AND AIM: Familial Mediterranean fever (FMF) is an autoinflammatory disease caused by mutations of the MEFV gene. We analyse the impact of ethnic, environmental and genetic factors on the severity of disease presentation in a large international registry. METHODS: Demographic, genetic and clinical data from validated paediatric FMF patients enrolled in the Eurofever registry were analysed. Three subgroups were considered: (i) patients living in the eastern Mediterranean countries; (ii) patients with an eastern Mediterranean ancestry living in western Europe; (iii) Caucasian patients living in western European countries. A score for disease severity at presentation was elaborated. RESULTS: Since November 2009, 346 FMF paediatric patients were enrolled in the Eurofever registry. The genetic and demographic features (ethnicity, age of onset, age at diagnosis) were similar among eastern Mediterranean patients whether they lived in their countries or western European countries. European patients had a lower frequency of the high penetrance M694V mutation and a significant delay of diagnosis (p<0.002). Patients living in eastern Mediterranean countries had a higher frequency of fever episodes/year and more frequent arthritis, pericarditis, chest pain, abdominal pain and vomiting compared to the other two groups. Multivariate analysis showed that the variables independently associated with severity of disease presentation were country of residence, presence of M694V mutation and positive family history. CONCLUSIONS: Eastern Mediterranean FMF patients have a milder disease phenotype once they migrate to Europe, reflecting the effect of environment on the expression of a monogenic disease.

Hiljaisen tiedon siirto Etelä-Karjalan Osuuspankin Imatrankosken konttorissa

Tutkimuksen tarkoituksena on osallistua liiketaloustieteelliseen keskusteluun hiljaisen tiedon siirtämisestä sekä vahvistaa Etelä-Karjalan Osuuspankissa käytävää keskustelua hiljaisesta tiedosta. Tutkimuksen tavoitteena on ymmärtää ja kuvata, mitä hiljainen tieto tarkoittaa Etelä-Karjalan Osuuspankin Imatrankosken konttorissa, kuinka hiljaisen tiedon siirtoa siellä tehdään sekä kuinka siellä kannattaisi tehdä hiljaisen tiedon siirtoa. Tutkimus toteutettiin kahdentoista laadullisen teemahaastattelun avulla. Hiljainen tieto tarkoittaa Imatrankosken konttorissa käytännön sekä kokemuksen kautta muodostunutta tietoa ja osaamista, mitä on vaikea ilmaista sanoin, mutta sen avulla toiminnasta tulee asiakaslähtöisempää. Hiljaisen tietotaidon siirtäminen sukupolvien välisen kuilun yli nähdään tärkeänä. Hiljainen tieto siirtyy Imatrankosken konttorissa henkilöltä toiselle epävirallisissa yhteyksissä vuorovaikutuksen avulla. Ensimmäiseksi on kiinnitettävä huomiota ympäristöön, jossa hiljaista tietoa siirretään ja sitten valittaviin menetelmiin. Ratkaisut onnistuneempaan hiljaisen tiedon siirtoon liittyvät tietynlaiseen ympäristöön, vuorovaikutukseen ihmisten välillä, yhteistyöhön ja työn kautta oppimiseen, tapoihin sekä menetelmiin, kuten perehdyttäminen, mentorointi, benchmarking, palaverit ja koulutukset, työkierto sekä tekniikan hyödyntäminen.

Resilience in environmental educators

Contemporary environmental issues (such as global warming) can present psychological stress, the effects of which are under-examined. The ability to "bounce back" from stress associated with increasing environmental adversity can be understood as resilience, and can be found in some environmental educators. The following paper examines how veteran environmental educators respond to psychological stress to increasing environmental adversity and describes the experience of resilience. Through in-depth interviews, this hermeneutical study sheds light on the environmental factors and internal competencies that contribute to resilience in seven environmental educators. Additionally, the interaction (known as the person/environment transactional process) between these factors and competencies is explored, providing insight into how the participants construct resilience. Kumpfer's (1999) Resilience Framework provided the organizational framework for the results of this study. Findings suggest ways in which resilience in environmental educators can be supported and offers directions for future research.

Genetic group x ambient temperature interaction effects on physiological responses and growth performance of rabbits

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Polymorphisms of DNA repair genes XRCC1 and XRCC3, interaction with environmental exposure and risk of chronic gastritis and gastric cancer

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Polymorphisms of DNA repair genes XRCC1 and XRCC3, interaction with environmental exposure and risk of chronic gastritis and grastic cancer

Aim: To evaluate the association between polymorphisms XRCC1 Arg194Trp and Arg399Gln and XRCC3 Thr241Met and the risk for chronic gastritis and gastric cancer, in a Southeastern Brazilian population. Methods: Genotyping by PCR-RFLP was carried out on 202 patients with chronic gastritis (CG) and 160 patients with gastric cancer (GC), matched to 202 (C1) and 150 (C2) controls, respectively. Results: No differences were observed among the studied groups with regard to the genotype distribution of XRCC1 codons 194 and 399 and of XRCC3 codon 241. However, the combined analyses of the three variant alleles (194Trp, 399Gln and 241Met) showed an increased risk for chronic gastritis when compared to the GC group. Moreover, an interaction between the polymorphic alleles and demographic and environmental factors was observed in the CG and GC groups. XRCC1 194Trp was associated with smoking in the CG group, while the variant alleles XRCC1 399Gln and XRCC3 241Met were related with gender, smoking, drinking and H pylori infection in the CG and GC groups. Conclusion: Our results showed no evidence of a rela-tionship between the polymorphisms XRCC1 Arg194Trp and Arg399Gln and XRCC3 Thr241Met and the risk of chronic gastritis and gastric cancer in the Brazilian population, but the combined effect of these variants may interact to increase the risk for chronic gastritis, considered a premalignant lesion. Our data also indicate a gene-environment interaction in the susceptibility to chronic gastritis and gastric cancer. © 2005 The WJG Press and Elsevier Inc. All rights reserved.

Application of Reactions Norms in Study of Genotype Environmental Interaction for Milk Yield of Buffaloes

The aim of this study was to estimate genetic parameters for milk yield (MY) in buffaloes using reaction norms. Model included the additive direct effect as random and contemporary group (herd and year of birth) were included as fixed effects and cow age classes (linear) as covariables. The animal additive direct random effect was modeled through linear Legendre polynomials on environment gradient (EG) standardized means. Mean trends were taken into account by a linear regression on Legendre polynomials of environmental group means. Residual variance was modeled trough 6 heterogeneity classes (EG). These classes of residual variance was formed : EG1: mean = 866,93 kg (621,68 kg-1011,76 kg); EG2: mean = 1193,00 kg (1011,76 kg-1251,49 kg); EG3: mean = 1309,37 kg (1251,49 kg -1393,20 kg); EG4: mean = 1497,59 kg (1393,20 kg-1593,53 kg); EG5: mean = 1664,78 kg (1593,53 kg -1727,32kg) e EG6: mean = 1973,85 kg (1727,32 kg -2422,19 kg).(Co) variance functions were estimated by restricted maximum likelihood (REML) using the GIBBS3F90 package. The heritability estimates for MY raised as the environmental gradient increased, varying from 0.20 to 0.40. However, in intermediate to favorable environments, the heritability estimates obtained with Considerable genotype-environment interaction was found for MY using reaction norms. For genetic evaluation of MY is necessary to consider heterogeneity of variances to model the residual variance.

Genetic parameters and investigation of genotype x environment interactions in Nellore x Hereford crossbred for resistance to cattle ticks in different regions of Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)