THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.

ON TWO-DIMENSIONAL QUASITOPOLOGICAL FIELD THEORIES

We study a class of lattice field theories in two dimensions that includes gauge theories. We show that in these theories it is possible to implement a broader notion of local symmetry, based on semisimple Hopf algebras. A character expansion is developed for the quasitopological field theories, and partition functions are calculated with this tool. Expected values of generalized Wilson loops are defined and studied with the character expansion.

Assessing alternative models of individualism and collectivism: A confirmatory factor analysis

Six alternative structural models of individualism-collectivism are reviewed and empirically compared in a confirmatory factor analysis of questionnaire data from an Australian student sample (N=340). Central to the debate about the structure of this broad social attitude are the issues of (I) polarity (are individualism and collectivism bipolar opposites, or orthogonal factors?) and (2) dimensionality (are individualism and collectivism themselves higher-order constructs subsuming several more specific factors and, if so, what are they?). The data from this Australian sample support a model that represents individualism and collectivism as a higher-order bipolar factor hierarchically subsuming several bipolar reference-group-specific individualisms and collectivisms. Copyright (C) 2001 John Wiley & Sons, Ltd.

Fitting genetic models to twin data with binary and ordered categorical responses: A comparison of structural equation modelling and Bayesian hierarchical models

We compare Bayesian methodology utilizing free-ware BUGS (Bayesian Inference Using Gibbs Sampling) with the traditional structural equation modelling approach based on another free-ware package, Mx. Dichotomous and ordinal (three category) twin data were simulated according to different additive genetic and common environment models for phenotypic variation. Practical issues are discussed in using Gibbs sampling as implemented by BUGS to fit subject-specific Bayesian generalized linear models, where the components of variation may be estimated directly. The simulation study (based on 2000 twin pairs) indicated that there is a consistent advantage in using the Bayesian method to detect a correct model under certain specifications of additive genetics and common environmental effects. For binary data, both methods had difficulty in detecting the correct model when the additive genetic effect was low (between 10 and 20%) or of moderate range (between 20 and 40%). Furthermore, neither method could adequately detect a correct model that included a modest common environmental effect (20%) even when the additive genetic effect was large (50%). Power was significantly improved with ordinal data for most scenarios, except for the case of low heritability under a true ACE model. We illustrate and compare both methods using data from 1239 twin pairs over the age of 50 years, who were registered with the Australian National Health and Medical Research Council Twin Registry (ATR) and presented symptoms associated with osteoarthritis occurring in joints of the hand.

Sociological and philosophical aspects of human interaction with technology: advancing concepts

It is not possible to imagine our lives today without technology. From the moment we get up in the morning until the time that we go to bed at night, technology is present in almost every moment, even if we are not aware of it. Some of the most basic activities we need to perform regularly could not be carried out without technology. Sociological and Philosophical Aspects of Human Interaction with Technology: Advancing Concepts presents a careful blend of conceptual, theoretical and applied research in regards to the relationship between technology and humans. This book explores the importance of these interactions, aspects related with trust, communication, data protection, usability concerning organizational change, and e-learning. The advancement of these theories and practices will benefit from this publication as it provides a voice for the users.

Dermic diffusion and stratum corneum: a state of the art review of mathematical models

Transdermal biotechnologies are an ever increasing field of interest, due to the medical and pharmaceutical applications that they underlie. There are several mathematical models at use that permit a more inclusive vision of pure experimental data and even allow practical extrapolation for new dermal diffusion methodologies. However, they grasp a complex variety of theories and assumptions that allocate their use for specific situations. Models based on Fick's First Law found better use in contexts where scaled particle theory Models would be extensive in time-span but the reciprocal is also true, as context of transdermal diffusion of particular active compounds changes. This article reviews extensively the various theoretical methodologies for studying dermic diffusion in the rate limiting dermic barrier, the stratum corneum, and systematizes its characteristics, their proper context of application, advantages and limitations, as well as future perspectives.

Landslide susceptibility assessment in Karanganyar regency - Indonesia - Comparison of knowledge-based and Data-driven Models

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Derivation and consistency checking of models in early software product line engineering

Dissertação para obtenção do Grau de Doutor em Engenharia Informática

Optimal coexistence of long-term and short-term contracts in labor Markets

We consider a market where firms hire workers to run their projects and such projects differ in profitability. At any period, each firm needs two workers to successfully run its project: a junior agent, with no specific skills, and a senior worker, whose effort is not verifiable. Senior workers differ in ability and their competence is revealed after they have worked as juniors in the market. We study the length of the contractual relationships between firms and workers in an environment where the matching between firms and workers is the result of market interaction. We show that, despite in a one-firm-one-worker set-up long-term contracts are the optimal choice for firms, market forces often induce firms to use short-term contracts. Unless the market only consists of firms with very profitable projects, firms operating highly profitable projects offer short-term contracts to ensure the service of high-ability workers and those with less lucrative projects also use short-term contracts to save on the junior workers' wage. Intermediate firms may (or may not) hire workers through long-term contracts.

Developmental and pathological lymphangiogenesis: from models to human disease.

The lymphatic vascular system, the body's second vascular system present in vertebrates, has emerged in recent years as a crucial player in normal and pathological processes. It participates in the maintenance of normal tissue fluid balance, the immune functions of cellular and antigen trafficking and absorption of fatty acids and lipid-soluble vitamins in the gut. Recent scientific discoveries have highlighted the role of lymphatic system in a number of pathologic conditions, including lymphedema, inflammatory diseases, and tumor metastasis. Development of genetically modified animal models, identification of lymphatic endothelial specific markers and regulators coupled with technological advances such as high-resolution imaging and genome-wide approaches have been instrumental in understanding the major steps controlling growth and remodeling of lymphatic vessels. This review highlights the recent insights and developments in the field of lymphatic vascular biology.

The generation and re-generation of social capital and enterprises in multi-stakeholders social cooperative enterprises: a system dynamic approach

Theories on social capital and on social entrepreneurship have mainly highlighted the attitude of social capital to generate enterprises and to foster good relations between third sector organizations and the public sector. This paper considers the social capital in a specific third sector enterprise; here, multi-stakeholder social cooperatives are seen, at the same time, as social capital results, creators and incubators. In the particular enterprises that identify themselves as community social enterprises, social capital, both as organizational and relational capital, is fundamental: SCEs arise from but also produce and disseminate social capital. This paper aims to improve the building of relational social capital and the refining of helpful relations drawn from other arenas, where they were created and from where they are sometimes transferred to other realities, where their role is carried on further (often working in non-profit, horizontally and vertically arranged groups, where they share resources and relations). To represent this perspective, we use a qualitative system dynamic approach in which social capital is measured using proxies. Cooperation of volunteers, customers, community leaders and third sector local organizations is fundamental to establish trust relations between public local authorities and cooperatives. These relations help the latter to maintain long-term contracts with local authorities as providers of social services and enable them to add innovation to their services, by developing experiences and management models and maintaining an interchange with civil servants regarding these matters. The long-term relations and the organizational relations linking SCEs and public organizations help to create and to renovate social capital. Thus, multi-stakeholder cooperatives originated via social capital developed in third sector organizations produce new social capital within the cooperatives themselves and between different cooperatives (entrepreneurial components of the third sector) and the public sector. In their entrepreneurial life, cooperatives have to contrast the "working drift," as a result of which only workers remain as members of the cooperative, while other stakeholders leave the organization. Those who are not workers in the cooperative are (stake)holders with "weak ties," who are nevertheless fundamental in making a worker's cooperative an authentic social multi-stakeholders cooperative. To maintain multi-stakeholder governance and the relations with third sector and civil society, social cooperatives have to reinforce participation and dialogue with civil society through ongoing efforts to include people that provide social proposals. We try to represent these processes in a system dynamic model applied to local cooperatives, measuring the social capital created by the social cooperative through proxies, such as number of volunteers and strong cooperation with public institutions. Using a reverse-engineering approach, we can individuate the determinants of the creation of social capital and thereby give support to governance that creates social capital.

Identification of key amino acids of the mouse mammary tumor virus superantigen involved in the specific interaction with T-cell receptor V(beta) domains.

Mouse mammary tumor virus (MMTV) is a retrovirus encoding a superantigen that is recognized in association with major histocompatibility complex class II by the variable region of the beta chain (V(beta)) of the T-cell receptor. The C-terminal 30 to 40 amino acids of the superantigen of different MMTVs display high sequence variability that correlates with the recognition of particular T-cell receptor V(beta) chains. Interestingly, MMTV(SIM) and mtv-8 superantigens are highly homologous but have nonoverlapping T-cell receptor V(beta) specificities. To determine the importance of these few differences for specific V(beta) interaction, we studied superantigen responses in mice to chimeric and mutant MMTV(SIM) and mtv-8 superantigens expressed by recombinant vaccinia viruses. We show that only a few changes (two to six residues) within the C terminus are necessary to modify superantigen recognition by specific V(beta)s. Thus, the introduction of the MMTV(SIM) residues 314-315 into the mtv-8 superantigen greatly decreased its V(beta)12 reactivity without gain of MMTV(SIM)-specific function. The introduction of MMTV(SIM)-specific residues 289 to 295, however, induced a recognition pattern that was a mixture of MMTV(SIM)- and mtv-8-specific V(beta) reactivities: both weak MMTV(SIM)-specific V(beta)4 and full mtv-8-specific V(beta)11 recognition were observed while V(beta)12 interaction was lost. The combination of the two MMTV(SIM)-specific regions in the mtv-8 superantigen established normal MMTV(SIM)-specific V(beta)4 reactivity and completely abolished mtv-8-specific V(beta)5, -11, and -12 interactions. These new functional superantigens with mixed V(beta) recognition patterns allowed us to precisely delineate sites relevant for molecular interactions between the SIM or mtv-8 superantigen and the T-cell receptor V(beta) domain within the 30 C-terminal residues of the viral superantigen.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine

Background: To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results: To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions: We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.

Characterization of Epstein-Barr virus-specific immune responses and of the novel cytokine interleukin-26 in patients with multiple sclerosis

RÉSUMÉ La sclérose en plaques (SEP) est une maladie démyélinisante du système nerveux central (SNC) qui touche le plus souvent de jeunes femmes. Bien qu'elle ait été décrite pour la première fois il y a plus de 200 ans, son étiologie n'est pas encore complètement comprise. Contrairement à d'autres maladies purement génétiques, l'épidémiologie de la SEP ne peut être que partiellement expliquée par des facteurs génétiques. Ceci suggère que des facteurs environnementaux pourraient être impliqués dans la pathogenèse de la SEP. Parmi ceux-ci, le virus d'Epstein-Barr (EBV) est un excellent candidat, comme cela a été démontré par de larges études séroépidémiologiques ainsi que pax l'évaluation de la réponse cellulaire dans le sang. Bien que le SNC soit en fait la cible des réponses immunitaires anormales dans la SEP, peu d'études ont été accomplies sur les réponses immunitaires spécifiques à EBV dans ce compartiment. Ceci est particulièrement vrai chez des patients vivants chez lesquels des biopsies sont rarement effectuées, ainsi que pour les réponses cellulaires car très peu de cellules immunitaires peuvent être obtenues du SNC. Nous avons donc développé des conditions de cultures et un readout nous permettant d'étudier le nombre réduit de cellules disponibles dans le liquide céphalo-rachidien (LCR), qui représente le seul matériel pouvant être obtenu du SNC de patients SEP vivants. Nous avons trouvé que les réponses cellulaires et humorales spécifiques à EBV étaient augmentées dans le LCR des patients SEP comparé à du sang pairé, ainsi que par rapport à des patients avec d'autres maladies neurologiques inflammatoires et noninflammatoires. Afin de déterminer si les réponses immunitaires augmentées contre EBV étaient spécifiques à ce virus ou si elles reflétaient simplement une hyperactivation immunitaire aspécifique, nous avons comparé les réponses spécifiques à EBV avec celles spécifiques au cytomegalovirus (CNN). En effet, comme EBV, CNN est un herpesvirus neurotropique qui peut établir des infections latentes, mais ce dernier n'est pas considéré comme étant associé à la SEP. De façon intéressante, les réponses immunitaires spécifiques à CNN trouvées dans le LCR étaient plus basses que dans le sang, et ceci dans toutes les catégories de patients. Ces données suggèrent qu'une réactivation d'EBV pourrait avoir lieu dans le SNC des patients SEP à un stade précoce de la maladie et renforcent fortement l'hypothèse qu'EBV pourrait avoir un rôle déclencheur dans cette maladie. Ainsi, il pourrait être intéressant d'explorer si un traitement ou un vaccin efficace contre EBV peut prévenir le développement de la SEP. On ne connaît toujours pas la raison pour laquelle les réponses immunitaires spécifiques à EBV sont augmentées chez les patients SEP. Une hypothèse est que la réponse immunitaire est qualitativement différente chez les patients SEP par rapports aux contrôles. Pour examiner ceci, nous avons évalué le profile cytokinique de lymphocytes T CD4+ et CD8+ stimulés par EBV, mais nous n'avons pas pu mettre en évidence de différence remarquable entre patients SEP et sujets sains. Cette question reste donc ouverte et d'autres études sont justifiées. Il n'existe pas de marqueur fiable de la SEP. Ici, nous avons trouvé que la cytokine IL-26, récemment décrite, était augmentée dans les lymphocytes T CD8+ des patients avec une SEP secondairement progressive comparé à des patients SEP en poussée, des patients avec une SEP primairement progressive, des patients avec d'autres maladies neurologiques inflammatoires, ou des sujets sains. De plus, nous avons identifié des types de cellules dérivées du cerveau (astrocytes, oligodendrocytes et neurones) qui exprimaient le récepteur de l'IL-26. Ceci ouvre la voie à d'autres études afin de mieux comprendre la fonction de l'II.-26 et son interaction avec la. SEP. SUMMARY : Multiple sclerosis (MS) is a demyelinating disease affecting the central nervous system (CNS), mostly in young female adults. Although it was first described 200 years ago, its etiology is still not completely understood. Contrary to other purely genetic diseases, genetics can explain only part of MS epidemiology. Therefore, environmental factors that might be involved in MS pathogenesis were searched for. Among them, Epstein-Barr virus (EBV) is a strong potential candidate, such as shown by large seroepidemiological studies and cellular immune response assessments in the blood. Although the CNS is the actual target of abnormal immune responses in MS, few studies have been performed on EBV-specific immune responses in this compartment. This is particularly true for live patients, from which biopsy material is almost never available, and for cellular immune responses, since very few immune cells are available from the CNS. We therefore developed culture conditions and a readout that were compatible with the study of the reduced number of cells found in the cerebrospinal fluid (CSF), the only readily available material from the CNS of live ' MS patients. We found that EBV-specific cellular and humoral immune responses were increased in the CSF of MS patients as compared with paired blood, as well as compared with the CSF of patients with other inflammatory and non-inflammatory neurological diseases. To determine whether the enhanced immune responses against EBV were specific of this virus or simply reflected an aspecific immune hyperactivation, we compared the EBV- with the cytomegalovirus (CMV)-specific immune responses. Indeed, like EBV, CMV is a neurotrophic herpesvirus that can establish latent infections, but the latter is not considered to be associated with MS. Interestingly, CSF CMV-specific immune responses were lower than blood ones and this, in all patient categories. These findings suggest that EBV reactivation may be taking place in the CNS of patients at the early stages of MS and strengthen the hypothesis that EBV may have a triggering role in this disease. Therefore, it might be interesting to explore whether an efficient anti-EBV drug or vaccine is able to prevent MS development. The reason why EBV-specific immune responses are increased in MS patients is still missing. One hypothesis might be that the immune response against EBV is qualitatively different in MS patients as compared with controls. To examine this, we assessed the cytokine mRNA profile of EBV-stimulated CD4+ and CD8+ T cells, but could not find any remarkable difference between MS patients and healthy controls. Therefore, this question remains open and fiirther studies are warranted. Reliable disease markers are lacking for MS. Here, we found that the recently described cytokine IL-26 was increased in CD8+ T cells of patients with secondary progressive MS as compared with relapsing MS, primary progressive MS, other inflammatory neurological diseases and healthy controls. Moreover, we identified brain cell types (astrocytes, oligodendrocytes and neurons) that expressed the IL-26 receptor, paring the way for further studies to understand IL-26 function and its interaction with MS.

BAFF, APRIL and their receptors: structure, function and signaling.

BAFF, APRIL and their receptors play important immunological roles, especially in the B cell arm of the immune system. A number of splice isoforms have been described for both ligands and receptors in this subfamily, some of which are conserved between mouse and human, while others are species-specific. Structural and mutational analyses have revealed key determinants of receptor-ligand specificity. BAFF-R has a strong selectivity for BAFF; BCMA has a higher affinity for APRIL than for BAFF, while TACI binds both ligands equally well. The molecular signaling events downstream of BAFF-R, BCMA and TACI are still incompletely characterized. Survival appears to be mediated by upregulation of Bcl-2 family members through NF-kappaB activation, degradation of the pro-apototic Bim protein, and control of subcellular localization of PCKdelta. Very little is known about other signaling events associated with receptor engagement by BAFF and APRIL that lead for example to B cell activation or to CD40L-independent Ig switch.