Genetic variants associated with metastatic prostate cancer

Introduction. Distant metastasis remains the leading cause of death among prostate cancer patients. Several genetic susceptibility loci associated with Prostate cancer have been identified by the Genome Wide Association Studies (GWAS). To date, few studies have explored the ability of these SNPs to identify metastatic prostate cancer. Based on the identification of genetic variants as predictors of aggressive disease, a case comparison study of prostate cancer patients was designed to explore the association of 96 GWAS single nucleotide polymorphisms (SNPs) with metastatic disease. ^ Method. 1242 histologically confirmed prostate cancer patients, with and without metastatic disease, were enrolled into the study. Data were collected from personal interviews, hospital database and abstraction of medical records. Ninety six SNPs identified from GWAS studies based on their associations with prostate cancer risk were genotyped in the study population. Univariate and multivariate logistic regression analyses were used to explore the relationships of the variants with metastatic prostate cancer in Whites and African American men. ^ Results. Four SNPs showed independent associations with metastatic prostate cancer (rs721048 in EHBP1 (2p15), rs3025039 in VEGF (6p12), rs11228565 in Intergenic(11q13.2) and rs2735839 in KLK3(19q13.33)) in the White population. For SNP rs2735839 in KLK3, genotype GA was 1.71 times as likely to be associated with metastatic prostate cancer diagnosis as genotype AA after adjusting for other significant SNPs and covariates (95% CI, 1.12-2.60; p=0.012). In men of African descent, three SNPs: rs1512268 in NKX3-1(8p21.2), rs12155172 in intergenic (7p15.3) & rs10486567 in JAZF1 (7p15.2) were positively associated with metastatic disease in the multivariate analysis. The strongest SNP was rs1512268 heterozygous genotype AG in NKX3-1(8p21.2) which was associated with 3.97-fold increased risk of metastatic prostate cancer diagnosis (95% CI, 1.69-9.34; p =0.002). ^ Conclusion. Genetic variants associated with metastatic prostate cancer were different in Whites and African American men. Given the high mortality rate recorded in men diagnosed with metastatic prostate tumor, further studies are needed to validate associations and establish their clinical application.^

Exploration of genetic susceptibility to pancreatic cancer: A GWAS approach

Pancreatic cancer is the 4th most common cause for cancer death in the United States, accompanied by less than 5% five-year survival rate based on current treatments, particularly because it is usually detected at a late stage. Identifying a high-risk population to launch an effective preventive strategy and intervention to control this highly lethal disease is desperately needed. The genetic etiology of pancreatic cancer has not been well profiled. We hypothesized that unidentified genetic variants by previous genome-wide association study (GWAS) for pancreatic cancer, due to stringent statistical threshold or missing interaction analysis, may be unveiled using alternative approaches. To achieve this aim, we explored genetic susceptibility to pancreatic cancer in terms of marginal associations of pathway and genes, as well as their interactions with risk factors. We conducted pathway- and gene-based analysis using GWAS data from 3141 pancreatic cancer patients and 3367 controls with European ancestry. Using the gene set ridge regression in association studies (GRASS) method, we analyzed 197 pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Using the logistic kernel machine (LKM) test, we analyzed 17906 genes defined by University of California Santa Cruz (UCSC) database. Using the likelihood ratio test (LRT) in a logistic regression model, we analyzed 177 pathways and 17906 genes for interactions with risk factors in 2028 pancreatic cancer patients and 2109 controls with European ancestry. After adjusting for multiple comparisons, six pathways were marginally associated with risk of pancreatic cancer ( P < 0.00025): Fc epsilon RI signaling, maturity onset diabetes of the young, neuroactive ligand-receptor interaction, long-term depression (Ps < 0.0002), and the olfactory transduction and vascular smooth muscle contraction pathways (P = 0.0002; Nine genes were marginally associated with pancreatic cancer risk (P < 2.62 × 10−5), including five reported genes (ABO, HNF1A, CLPTM1L, SHH and MYC), as well as four novel genes (OR13C4, OR 13C3, KCNA6 and HNF4 G); three pathways significantly interacted with risk factors on modifying the risk of pancreatic cancer (P < 2.82 × 10−4): chemokine signaling pathway with obesity ( P < 1.43 × 10−4), calcium signaling pathway (P < 2.27 × 10−4) and MAPK signaling pathway with diabetes (P < 2.77 × 10−4). However, none of the 17906 genes tested for interactions survived the multiple comparisons corrections. In summary, our current GWAS study unveiled unidentified genetic susceptibility to pancreatic cancer using alternative methods. These novel findings provide new perspectives on genetic susceptibility to and molecular mechanisms of pancreatic cancer, once confirmed, will shed promising light on the prevention and treatment of this disease. ^

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.

Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level

Measures of agro-ecosystems genetic variability are essential to sustain scientific-based actions and policies tending to protect the ecosystem services they provide. To build the genetic variability datum it is necessary to deal with a large number and different types of variables. Molecular marker data is highly dimensional by nature, and frequently additional types of information are obtained, as morphological and physiological traits. This way, genetic variability studies are usually associated with the measurement of several traits on each entity. Multivariate methods are aimed at finding proximities between entities characterized by multiple traits by summarizing information in few synthetic variables. In this work we discuss and illustrate several multivariate methods used for different purposes to build the datum of genetic variability. We include methods applied in studies for exploring the spatial structure of genetic variability and the association of genetic data to other sources of information. Multivariate techniques allow the pursuit of the genetic variability datum, as a unifying notion that merges concepts of type, abundance and distribution of variability at gene level.

Integration of socioeconomic and genetic aspects involved in the conservation of animal genetic resources = Integración de aspectos socioeconómicos y genéticos involucrados en la conservación de recursos genéticos animales

El sector ganadero está siendo gradualmente dominado por sistemas intensivos y especializados en los que los factores de producción están controlados y en los que los caracteres productivos son los criterios principales para la selección de especies y razas. Entretanto, muchos de los bienes y servicios que tradicionalmente suministraba el ganado, tales como los fertilizantes, la tracción animal o materias primas para la elaboración vestimenta y calzado están siendo reemplazados por productos industriales. Como consecuencia de ambos cambios, las razas seleccionadas intensivamente, las cuales están estrechamente ligadas a sistemas agrícolas de alta producción y altos insumos, han desplazado a muchas razas autóctonas, en las que la selección prácticamente ha cesado o es muy poco intensa. Actualmente existe una mayor conciencia social sobre la situación de las razas autóctonas y muchas funciones del ganado que previamente habían sido ignoradas están siendo reconocidas. Desde hace algunas décadas, se ha aceptado internacionalmente que las razas de ganado cumplen funciones económicas, socio-culturales, medioambientales y de seguridad alimentaria. Por ello, diferentes organismos internacionales han reconocido que la disminución de los recursos genéticos de animales domésticos (RGADs) es un problema grave y han recomendado su conservación. Aun así, la conservación de RGADs es un tema controvertido por la dificultad de valorar las funciones del ganado. Esta valoración es compleja debido que los RGADs tiene una doble naturaleza privada - pública. Como algunos economistas han subrayado, el ganado es un bien privado, sin embargo debido a algunas de sus funciones, también es un bien público. De esta forma, el aumento del conocimiento sobre valor de cada una de sus funciones facilitaría la toma de decisiones en relación a su conservación y desarrollo. Sin embargo, esta valoración es controvertida puesto que la importancia relativa de las funciones del ganado varía en función del momento, del lugar, de las especies y de las razas. El sector ganadero, debido a sus múltiples funciones, está influenciado por factores técnicos, medioambientales, sociales, culturales y políticos que están interrelacionados y que engloban a una enorme variedad de actores y procesos. Al igual que las funciones del ganado, los factores que afectan a su conservación y desarrollo están fuertemente condicionados por localización geográfica. Asimismo, estos factores pueden ser muy heterogéneos incluso dentro de una misma raza. Por otro lado, es razonable pensar que el ganadero es el actor principal de la conservación de razas locales. Actualmente, las razas locales están siendo Integration of socioeconomic and genetic aspects involved in the conservation of animal genetic resources 5 explotadas por ganaderos muy diversos bajo sistemas de producción también muy diferentes. Por todo ello, es de vital importancia comprender y evaluar el impacto que tienen las motivaciones, y el proceso de toma de decisiones de los ganaderos en la estructura genética de las razas. En esta tesis doctoral exploramos diferentes aspectos sociales, económicos y genéticos involucrados en la conservación de razas locales de ganado vacuno en Europa, como ejemplo de RGADs, esperando contribuir al entendimiento científico de este complejo tema. Nuestro objetivo es conseguir una visión global de los procesos subyacentes en la conservación y desarrollo de estas razas. Pretendemos ilustrar como se pueden utilizar métodos cuantitativos en el diseño y establecimiento de estrategias de conservación y desarrollo de RGADs objetivas y adecuadas. En primer lugar, exploramos el valor económico total (VET) del ganado analizando sus componentes públicos fuera de mercado usando como caso de estudio la raza vacuna Alistana-Sanabresa (AS). El VET de cualquier bien está formado por componentes de uso y de no-uso. Estos últimos incluyen el valor de opción, el valor de herencia y el valor de existencia. En el caso del ganado local, el valor de uso directo proviene de sus productos. Los valores de uso indirecto están relacionados con el papel que cumple las razas en el mantenimiento de los paisajes y cultura rural. El valor de opción se refiere a su futuro uso potencial y el valor de herencia al uso potencial de las generaciones venideras. Finalmente, el valor de existencia está relacionado con el bienestar que produce a la gente saber que existe un recurso específico. Nuestro objetivo fue determinar la importancia relativa que tienen los componentes fuera de mercado sobre el VET de la raza AS. Para ello evaluamos la voluntad de la gente a pagar por la conservación de la AS mediante experimentos de elección (EEs) a través de encuestas. Estos experimentos permiten valorar individualmente los distintos componentes del VET de cualquier bien. Los resultados los analizamos mediante de uso de modelos aleatorios logit. Encontramos que las funciones públicas de la raza AS tienen un valor significativo. Sus valores más importantes son el valor de uso indirecto como elemento cultural Zamorano y el valor de existencia (ambos representaron el 80% de VET). Además observamos que el valor que gente da a las funciones públicas de la razas de ganado dependen de sus características socioeconómicas. Los factores que condicionaron la voluntad a pagar para la conservación de la raza AS fueron el lugar de residencia (ciudad o pueblo), el haber visto animales de la raza o haber consumido sus productos y la actitud de los encuestados ante los conflictos entre el desarrollo económico y el medioambiente. Por otro lado, encontramos que no todo el mundo tiene una visión completa e integrada de todas las funciones públicas de la raza AS. Por este motivo, los programas o actividades de concienciación sobre su estado deberían hacer hincapié en este aspecto. La existencia de valores públicos de la raza AS implica que los ganaderos deberían recibir compensaciones económicas como pago por las funciones públicas que cumple su raza local. Las compensaciones asegurarían un tamaño de población que permitiría que la raza AS siga realizando estas funciones. Un mecanismo para ello podría ser el desarrollo del turismo rural relacionado con la raza. Esto aumentaría el valor de uso privado mientras que supondría un elemento añadido a las estrategias de conservación y desarrollo. No obstante, los ganaderos deben analizar cómo aprovechar los nichos de mercado existentes, así como mejorar la calidad de los productos de la raza prestando especial atención al etiquetado de los mismos. Una vez evaluada la importancia de las funciones públicas de las razas locales de ganado, analizamos la diversidad de factores técnicos, económicos y sociales de la producción de razas locales de ganado vacuno existente en Europa. Con este fin analizamos el caso de quince razas locales de ocho países en el contexto de un proyecto de colaboración internacional. Investigamos las diferencias entre los países para determinar los factores comunes clave que afectan a la viabilidad de las razas locales. Para ello entrevistamos mediante cuestionarios a un total de 355 ganaderos en las quince razas. Como indicador de viabilidad usamos los planes de los ganaderos de variación del tamaño de las ganaderías. Los cuestionarios incluían diferentes aspectos económicos, técnicos y sociales con potencial influencia en las dinámicas demográficas de las razas locales. Los datos recogidos los analizamos mediante distintas técnicas estadísticas multivariantes como el análisis discriminante y la regresión logística. Encontramos que los factores que afectan a la viabilidad de las razas locales en Europa son muy heterogéneos. Un resultado reseñable fue que los ganaderos de algunos países no consideran que la explotación de su raza tenga un alto valor social. Este hecho vuelve a poner de manifiesto la importancia de desarrollar programas Europeos de concienciación sobre la importancia de las funciones que cumplen las razas locales. Además los países analizados presentaron una alta variabilidad en cuanto a la importancia de los mercados locales en la distribución de los productos y en cuanto al porcentaje en propiedad del total de los pastos usados en las explotaciones. Este estudio reflejó la variabilidad de los sistemas y medios de producción (en el sentido socioeconómico, técnico y ecológico) que existe en Europa. Por ello hay que ser cautos en la implementación de las políticas comunes en los diferentes países. También encontramos que la variabilidad dentro de los países puede ser elevada debido a las diferencias entre razas, lo que implica que las políticas nacionales deber ser suficientemente flexibles para adaptarse a las peculiaridades de cada una de las razas. Por otro lado, encontramos una serie de factores comunes a la viabilidad de las razas en los distintos países; la edad de los ganaderos, la colaboración entre ellos y la apreciación social de las funciones culturales, medioambientales y sociales del ganado local. El envejecimiento de los ganaderos de razas locales no es solo un problema de falta de transferencia generacional, sino que también puede suponer una actitud más negativa hacia la inversión en las actividades ganaderas y en una menor capacidad de adaptación a los cambios del sector. La capacidad de adaptación de los ganaderos es un factor crucial en la viabilidad de las razas locales. Las estrategias y políticas de conservación comunes deben incluir las variables comunes a la viabilidad de las razas manteniendo flexibilidad suficiente para adaptarse a las especificidades nacionales. Estas estrategias y políticas deberían ir más allá de compensación económica a los ganaderos de razas locales por la menor productividad de sus razas. Las herramientas para la toma de decisiones ayudan a generar una visión amplia de la conservación y desarrollo de las razas locales. Estas herramientas abordan el diseño de estrategias de conservación y desarrollo de forma sistemática y estructurada. En la tercera parte de la tesis usamos una de estas herramientas, el análisis DAFO (Debilidades, Amenazas, Fortalezas y Oportunidades), con este propósito, reconociendo que la conservación de RGADs depende de los ganaderos. Desarrollamos un análisis DAFO cuantitativo y lo aplicamos a trece razas locales de ganado vacuno de seis países europeos en el contexto del proyecto de colaboración mencionado anteriormente. El método tiene cuatro pasos: 1) la definición del sistema; 2) la identificación y agrupación de los factores influyentes; 3) la cuantificación de la importancia de dichos factores y 4) la identificación y priorización de estrategias. Identificamos los factores utilizando multitud de agentes (multi-stakeholder appproach). Una vez determinados los factores se agruparon en una estructura de tres niveles. La importancia relativa de los cada uno de los factores para cada raza fue determinada por grupos de expertos en RGADs de los países integrados en el citado proyecto. Finalmente, desarrollamos un proceso de cuantificación para identificar y priorizar estrategias. La estructura de agrupación de factores permitió analizar el problema de la conservación desde el nivel general hasta el concreto. La unión de análisis específicos de cada una de las razas en un análisis DAFO común permitió evaluar la adecuación de las estrategias a cada caso concreto. Identificamos un total de 99 factores. El análisis reveló que mientras los factores menos importantes son muy consistentes entre razas, los factores y estrategias más relevantes son muy heterogéneos. La idoneidad de las estrategias fue mayor a medida que estas se hacían más generales. A pesar de dicha heterogeneidad, los factores influyentes y estrategias más importantes estaban ligados a aspectos positivos (fortalezas y oportunidades) lo que implica que el futuro de estas razas es prometedor. Los resultados de nuestro análisis también confirmaron la gran relevancia del valor cultural de estas razas. Las factores internos (fortalezas y debilidades) más importantes estaban relacionadas con los sistemas de producción y los ganaderos. Las oportunidades más relevantes estaban relacionadas con el desarrollo y marketing de nuevos productos mientras que las amenazas más importantes se encontraron a la hora de vender los productos actuales. Este resultado implica que sería fructífero trabajar en la motivación y colaboración entre ganaderos así como, en la mejora de sus capacidades. Concluimos que las políticas comunes europeas deberían centrarse en aspectos generales y ser los suficientemente flexibles para adaptarse a las singularidades de los países y las razas. Como ya se ha mencionado, los ganaderos juegan un papel esencial en la conservación y desarrollo de las razas autóctonas. Por ello es relevante entender que implicación puede tener la heterogeneidad de los mismos en la viabilidad de una raza. En la cuarta parte de la tesis hemos identificado tipos de ganaderos con el fin de entender cómo la relación entre la variabilidad de sus características socioeconómicas, los perfiles de las ganaderías y las dinámicas de las mismas. El análisis se ha realizado en un contexto sociológico, aplicando los conceptos de capital cultural y económico. Las tipologías se han determinado en función de factores socioeconómicos y culturales indicadores del capital cultural y capital económico de un individuo. Nuestro objetivo era estudiar si la tipología socioeconómica de los ganaderos afecta al perfil de su ganadería y a las decisiones que toman. Entrevistamos a 85 ganaderos de la raza Avileña-Negra Ibérica (ANI) y utilizamos los resultados de dichas entrevistas para ilustrar y testar el proceso. Definimos los tipos de ganaderos utilizando un análisis de clúster jerarquizado con un grupo de variables canónicas que se obtuvieron en función de cinco factores socioeconómicos: el nivel de educación del ganadero, el año en que empezó a ser ganadero de ANI, el porcentaje de los ingresos familiares que aporta la ganadería, el porcentaje de propiedad de la tierra de la explotación y la edad del ganadero. La tipología de los ganaderos de ANI resultó ser más compleja que en el pasado. Los resultados indicaron que los tipos de ganaderos variaban en muchos aspectos socioeconómicos y en los perfiles de sus Integration of socioeconomic and genetic aspects involved in the conservation of animal genetic resources 9 ganaderías. Los tipos de ganaderos determinados toman diferentes decisiones en relación a la modificación del tamaño de su ganadería y a sus objetivos de selección. Por otro lado, reaccionaron de forma diferente ante un hipotético escenario de reducción de las compensaciones económicas que les planteamos. En este estudio hemos visto que el capital cultural y el económico interactúan y hemos explicado como lo hacen en los distintos tipos de ganaderos. Por ejemplo, los ganaderos que poseían un mayor capital económico, capital cultural formal y capital cultural adquirido sobre la raza, eran los ganaderos cuyos animales tenían una mayor demanda por parte de otros ganaderos, lo cual podría responder a su mayor prestigio social dentro de la raza. Uno de los elementos claves para el futuro de la raza es si este prestigio responde a una superioridad genética de las animales. Esto ocurriría si los ganaderos utilizaran las herramientas que tienen a su disposición a la hora de seleccionar animales. Los tipos de ganaderos identificados mostraron también claras diferencias en sus formas de colaboración y en su reacción a una hipotética variación de las compensaciones económicas. Aunque algunos tipos de ganaderos mostraron un bajo nivel de dependencia a estas compensaciones, la mayoría se manifestaron altamente dependientes. Por ello cualquier cambio drástico en la política de ayudas puede comprometer el desarrollo de las razas autóctonas. La adaptación las políticas de compensaciones económicas a la heterogeneidad de los ganaderos podría aumentar la eficacia de las mismas por lo que sería interesante explorar posibilidades a este respecto. Concluimos destacando la necesidad de desarrollar políticas que tengan en cuenta la heterogeneidad de los ganaderos. Finalmente abordamos el estudio de la estructura genética de poblaciones ganaderas. Las decisiones de los ganaderos en relación a la selección de sementales y su número de descendientes configuran la estructura demográfica y genética de las razas. En la actualidad existe un interés renovado por estudiar las estructuras poblacionales debido a la influencia potencial de su estratificación sobre la predicción de valores genómicos y/o los análisis de asociación a genoma completo. Utilizamos dos métodos distintos, un algoritmo de clústeres basados en teoría de grafos (GCA) y un algoritmo de clustering bayesiano (STRUCTURE) para estudiar la estructura genética de la raza ANI. Prestamos especial atención al efecto de la presencia de parientes cercanos en la población y de la diferenciación genética entre subpoblaciones sobre el análisis de la estructura de la población. En primer lugar evaluamos el comportamiento de los dos algoritmos en poblaciones simuladas para posteriormente analizar los genotipos para 17 microsatélites de 13343 animales de 57 ganaderías distintas de raza ANI. La ANI es un ejemplo de raza con relaciones complejas. Por otro lado, utilizamos el archivo de pedigrí de la raza para estudiar el flujo de genes, calculando, entre otras cosas, la contribución de cada ganadería a la constitución genética de la raza. En el caso de las poblaciones simuladas, cuando el FST entre subpoblaciones fue suficientemente alto, ambos algoritmos, GCA y STRUCTURE, identificaron la misma estructura genética independientemente de que existieran o no relaciones familiares. Por el contrario, cuando el grado de diferenciación entre poblaciones fue bajo, el STRUCTURE identificó la estructura familiar mientras que GCA no permitió obtener ningún resultado concluyente. El GCA resultó ser un algoritmo más rápido y eficiente para de inferir la estructura genética en poblaciones con relaciones complejas. Este algoritmo también puede ser usado para reducir el número de clústeres a testar con el STRUTURE. En cuanto al análisis de la población de ANI, ambos algoritmos describieron la misma estructura, lo cual sugiere que los resultados son robustos. Se identificaron tres subpoblaciones diferenciadas que pudieran corresponderse con tres linajes distintos. Estos linajes estarían directamente relacionados con las ganaderías que han tenido una mayor contribución a la constitución genética de la raza. Por otro lado, hay un conjunto muy numeroso de individuos con una mezcla de orígenes. La información molecular describe una estructura estratificada de la población que se corresponde con la evolución demográfica de la raza. Es esencial analizar en mayor profundidad la composición de este último grupo de animales para determinar cómo afecta a la variabilidad genética de la población de ANI. SUMMARY Summary Livestock sector is gradually dominated by intensive and specialized systems where the production environment is controlled and the production traits are the main criteria for the selection of species and breeds. In the meantime, the traditional use of domestic animals for draught work, clothes and manure has been replaced by industrial products. As a consequence of both these changes, the intensively selected breeds closely linked with high-input highoutput production systems have displaced many native breeds where the selection has practically ceased or been very mild. People are now more aware of the state of endangerment among the native breeds and the previously ignored values of livestock are gaining recognition. For some decades now, the economic, socio-cultural, environmental and food security function of livestock breeds have been accepted worldwide and their loss has been recognized as a major problem. Therefore, the conservation of farm animal genetic resources (FAnGR) has been recommended. The conservation of FAnGR is controversial due to the complexity of the evaluation of its functions. This evaluation is difficult due to the nature of FAnGR both as private and public good. As some economists have highlighted, livestock animals are private goods, however, they are also public goods by their functions. Therefore, there is a need to increase the knowledge about the value of all livestock functions since to support the decision-making for the sustainable conservation and breeding of livestock. This is not straightforward since the relative importance of livestock functions depends on time, place, species and breed. Since livestock play a variety of roles, their production is driven by interrelated and everchanging economic, technical, environmental, social, cultural and political elements involving an enormous range of stakeholders. Not only FAnGR functions but also the importance of factors affecting the development and conservation of FAnGR can be very different across geographical areas. Furthermore, heterogeneity can be found even within breeds. Local breeds are nowadays raised by highly diverse farmers in equally diverse farms. It is quite reasonable to think that farmer is the major actor in the in situ conservation of livestock breeds. Thus, there is a need to understand the farmers’ motivations, decision making processes and the impact of their decisions on the genetic structure of breeds. In this PhD thesis we explore different social, economic and genetic aspects involved in the conservation of local cattle breeds, i.e. FAnGR, in Europe seeking to contribute to the scientific understanding of this complex issue. We aim to achieve a comprehensive view of the processes involved in the conservation and development of local cattle breeds and have made special efforts in discussing the implications of the research results in this respect. The final outcome of the thesis is to illustrate how quantitative methods can be exploited in designing and establishing sound strategies and programmes for the conservation and development of local livestock breeds. Firstly we explored the public non-market attributes of the total economic value (TEV) of livestock, using the Spanish Alistana-Sanabresa (AS) cattle breed as a case study. Total economic value of any good comprises both use and non-use components, where the latter include option, bequest and existence values. For livestock, the direct use values are mainly stemming from production outputs. Indirect use values relate to the role of livestock as a maintainer of rural culture and landscape. The option value is related to the potential use of livestock, the bequest values relate to the value associated with the inheritance of the resources to future generation and the existence values relate to the utility perceived by people from knowing that specific resources exist. We aimed to determine the relative importance of the non-market components of the TEV of the AS breed, the socio-economic variables that influence how people value the different components of TEV and to assess the implications of the Spanish national conservation strategy for the AS breed. To do so, we used a choice experiment (CE) approach and applied the technique to assess people’s willingness to pay (WTP) for the conservation of AS breed. The use of CE allows the valuation of the individual components of TEV for a given good. We analysed the choice data using a random parameter logit (RPL) model. AS breed was found to have a significant public good value. Its most important values were related to the indirect use value due to the maintenance of Zamorian culture and the existence value (both represent over 80% of its TEV). There were several socioeconomic variables influencing people’s valuation of the public service of the breed. In the case of AS breed, the place of living (city or rural area), having seen animals of the breed, having eaten breed products and the respondents’ attitude towards economic development – environment conflicts do influence people’s WTP for AS conservation. We also found that people do not have a complete picture of all the functions and roles that AS breed as AnGR. Therefore, the actions for increasing awareness of AS should go to that direction. The farmers will need incentives to exploit some of the public goods values and maintain the breed population size at socially desirable levels. One such mechanism could be related to the development of agritourism, which would enhance the private good value and provide an important addition to the conservation and utilisation strategy. However, the farmers need a serious evaluation on how to invest in niche product development or how to improve product quality and brand recognition. Using the understanding on the importance of the public function of local cattle we tried to depict the current diversity regarding technical, economic and social factors found in local cattle farming across Europe. To do so we focused in an international collaborative project on the case of fifteen local cattle breeds in eight European countries. We investigated the variation among the countries to detect the common key elements, which affect the viability of local breeds. We surveyed with interviews a total of 355 farms across the fifteen breeds. We used the planned herd size changes by the farmer as an indicator of breed viability. The questionnaire included several economic, technical and social aspects with potential influence on breeds’ demographic trends. We analysed the data using multivariate statistical techniques, such as discriminat analysis and logistic regression. The factors affecting a local breed’s viability were highly heterogeneous across Europe. In some countries, farmers did not recognise any high social value attached to keeping a local cattle breed. Hence there is a need to develop communication programmes across EU countries making people aware about the diversity and importance of values associated to raising local breeds. The countries were also very variable regarding the importance of local markets and the percentage of farm land owned by the farmers. Despite the country specificities, there were also common factors affecting the breed viability across Europe. The factors were from different grounds, from social, such as the age of the farmer and the social appreciation of their work, to technicalorganizational, such as the farmers’ attitude to collaborating with each other. The heterogeneity found reflects the variation in breeding systems and production environment (in the socioeconomic, technical and ecological sense) present in Europe. Therefore, caution should be taken in implementing common policies at the country level. Variability could also be rather high within countries due to breed specificities. Therefore, the national policies should be flexible to adapt to the specificities. The variables significantly associated with breed viability should be positively incorporated in the conservation strategies, and considered in developing common and/or national policies. The strategy preparation and policy planning should go beyond the provision of a general economic support to compensate farmers for the lower profitability of local breeds. Of particular interest is the observation that the opportunity for farmer collaboration and the appreciation by the society of the cultural, environmental and social role of local cattle farming were positively associated with the breed survival. In addition, farmer's high age is not only a problem of poor generation transfer but it is also a problem because it might lead to a lower attitude to investing in farming activities and to a lower ability to adapt to environment changes. The farmers’ adaptation capability may be a key point for the viability of local breeds. Decision making tools can help to get a comprehensive view on the conservation and development of local breeds. It allows us to use a systematic and structured approach for identifying and prioritizing conservation and development strategies. We used SWOT (Strengths, Weaknesses Opportunities and Threats) analysis for this purpose and recognized that many conservation and development projects rely on farmers. We developed a quantified SWOT method and applied it in the aforementioned collaborative research to a set of thirteen cattle breeds in six European countries. The method has four steps: definition of the system, identification and grouping of the driving factors, quantification of the importance of driving factors and identification and prioritization of the strategies. The factors were determined following a multi-stakeholder approach and grouped with a three level structure. FAnGR expert groups ranked the factors and a quantification process was implemented to identify and prioritize strategies. The structure of the SWOT analysis allowed analyzing the conservation problem from general down to specific perspectives. Joining breed specific analyses into a common SWOT analysis permitted comparison of breed cases across countries. We identified 99 driving factors across breeds. The across breed analysis revealed that irrelevant factors were consistent. There was high heterogeneity among the most relevant factors and strategies. The strategies increased eligibility as they lost specificity. Although the situation was very heterogeneous, the most promising factors and strategies were linked to the positive aspects (Strengths and Opportunities). Therefore, the future of the studied local breed is promising. The results of our analysis also confirmed the high relevance of the cultural value of the breeds. The most important internal factors (strengths and weaknesses) were related farmers and production systems. The most important opportunities were found in developing and marketing new products, while the most relevant threats were found in selling the current conventional products. In this regard, it should be fruitful to work on farmers’ motivation, collaboration, and capacity building. We conclude that European policies should focus on general aspects and be flexible enough to be adapted to the country and breed specificities. As mentioned, farmers have a key role in the conservation and development of a local cattle breed. Therefore, it is very relevant to understand the implications of farmer heterogeneity within a breed for its viability. In the fourth part of the thesis, we developed a general farmer typology to help analyzing the relations between farmer features and farm profiles, herd dynamics and farmers’ decision making. In the analysis we applied and used the sociological framework of economic and cultural capital and studied how the determined farmer types were linked to farm profiles and breeding decisions, among others. The typology was based on measurable socioeconomic factors indicating the economic and cultural capital of farmers. A group of 85 farmers raising the Spanish Avileña-Negra Ibérica (ANI) local cattle breed was used to illustrate and test the procedure. The farmer types were defined by a hierarchical cluster analysis with a set of canonical variables derived from the following five the socioeconomic factors: the formal educational level of the farmer, the year the farmer started keeping the ANI breed, the percentage of the total family income covered by the farm, the percentage of the total farm land owned by the farmer and the farmer’s age. The present ANI farmer types were much more complex than what they were in the past. We found that the farmer types differed in many socioeconomic aspects and in the farms profile. Furthermore, the types also differentiate farmers with respect to decisions about changing the farm size, breeding aims and stated reactions towards hypothetical subsidy variation. We have verified that economic and cultural capitals are not independent and further showed how they are interacting in the different farmer types. The farmers related to the types with high economic, institutionalized and embodied cultural capitals had a higher demand of breeding animals from others farmers of the breed, which may be related to the higher social prestige within the breed. One of the key implications of this finding for the future of the breed is whether or not the prestige of farmers is related to genetic superiority of their animals, what is to say, that it is related with a sound use of tools that farmers have available to make selection decisions. The farmer types differed in the form of collaboration and in the reactions to the hypothetical variation in subsidies. There were farmers with low dependency on subsidies, while most of them are highly dependent on subsidies. Therefore, any drastic change in the subsidy programme might have influence on the development of local breeds. The adaptation of these programme to the farmers’ heterogeneity might increase its efficacy, thus it would be interesting to explore ways of doing it. We conclude highlighting the need to have a variety of policies, which take into account the heterogeneity among the farmers. To finish we dealt with the genetic structure of livestock populations. Farmers’ decisions on the breeding animals and their progeny numbers shape the demographic and genetic structure of the breeds. Nowadays there is a renovated interest in studying the population structure since it can bias the prediction of genomic breeding values and genome wide association studies. We determined the genetic structure of ANI breed using two different methods, a graphical clustering algorithm (GCA) and a Bayesian clustering algorithm (STRUCTURE) were used. We paid particular attention to the influence that the presence of closely related individuals and the genetic differentiation of subpopulations may have on the inferences about the population structure. We first evaluated the performance of the algorithms in simulated populations. Then we inferred the genetic structure of the Spanish cattle breed ANI analysing a data set of 13343 animals (genotyped for 17 microsatellites) from 57 herds. ANI breed is an example of a population with complex relationships. We used the herdbook to study the gene flow, estimation among other things, the contribution of different herds to the genetic composition of the ANI breed. For the simulated scenarios, when FST among subpopulations was sufficiently high, both algorithms consistently inferred the correct structure regardless of the presence of related individuals. However, when the genetic differentiation among subpopulations was low, STRUCTURE identified the family based structure while GCA did not provide any consistent picture. The GCA was a fast and efficient method to infer genetic structure to determine the hidden core structure of a population with complex history and relationships. GCA could also be used to narrow down the number of clusters to be tested by STRUCTURE. Both, STRUCTURE and GCA describe a similar structure for the ANI breed suggesting that the results are robust. ANI population was found to have three genetically differentiated clusters that could correspond to three genetic lineages. These are directly related to the herds with a major contribution to the breed. In addition, ANI breed has also a large pool made of individuals with an admixture of origins. The genetic structure of ANI, assessed by molecular information, shows a stratification that corresponds to the demographic evolution of the breed. It will be of great importance to learn more about the composition of the pool and study how it is related to the existing genetic variability of the breed.

Estudio de los factores que condicionan, a escala local, la presencia de Epidendrum rhopalostele (Orchidaceae): Implicaciones para su conservación

El análisis de los factores que determinan el establecimiento y supervivencia de orquídeas epífitas, incluyen: a) las condiciones microambientales de los bosques que las mantienen, b) preferencias por las características de los hospederos donde crecen, c) limitación en la dispersión de semillas, d) interacciones planta-planta, y e) asociaciones micorrízicas para la germinación y resultan esenciales para el desarrollo de estrategias para la conservación y manejo de este grupo de plantas. Este trabajo ha evaluado la importancia de estos factores en Epidendrum rhopalostele, orquídea epífita del bosque de niebla montano, a través de los análisis de los patrones espaciales de los árboles que la portan y de la propia orquídea, a escala de población, estudios de asociación y métodos moleculares. Estos últimos han consistido en el uso de marcadores AFLP para el análisis de la estructura genética de la orquídea y en la secuenciación-clonación de la región ITS para la identificación de los hongos micorrízicos asociados. El objetivo de esta tesis es, por tanto, una mejor comprensión de los factores que condicionan la presencia de orquídeas epífitas en los remanentes de bosque de niebla montano y una evaluación de las implicaciones para la conservación y mantenimiento de sus hábitats y la permanencia de sus poblaciones. El estudio fue realizado en un fragmento de bosque de niebla montano de sucesión secundaria situado al este de la Cordillera Real, en los Andes del sur de Ecuador, a 2250 m.s.n.m y caracterizado por una pendiente marcada, temperatura media anual de 20.8°C y precipitación anual de 2193 mm. En este fragmento se mapearon, identificaron y caracterizaron todos los árboles presentes con DBH > 1 cm y todos los individuos de Epidendrum rhopalostele. Así mismo se tomaron muestras de hoja para obtener ADN de todas las orquídeas registradas y muestras de raíces de individuos con flor de E. rhopalostele, uno por cada forófito, para el análisis filogenético de micorrizas. Análisis espaciales de patrones de puntos basados en la K de Ripley y la distancia al vecino más cercano fueron usados para los árboles, forófitos y la población de E. rhopalostele. Se observó que la distribución espacial de árboles y forófitos de E. rhopalostele no es aleatoria, ya que se ajusta a un proceso agregado de Poisson. De ahí se infiere una limitación en la dispersión de las semillas en el fragmento estudiado y en el establecimiento de la orquídea. El patrón de distribución de la población de E. rhopalostele en el fragmento muestra un agrupamiento a pequeña escala sugiriendo una preferencia por micro-sitios para el establecimiento de la orquídea con un kernel de dispersión de las semillas estimado de 0.4 m. Las características preferentes del micro-sitio como tipos de árboles (Clusia alata y árboles muertos), tolerancia a la sombra, corteza rugosa, distribución en los dos primeros metros sugieren una tendencia a distribuirse en el sotobosque. La existencia de una segregación espacial entre adultos y juveniles sugiere una competencia por recursos limitados condicionada por la preferencia de micro-sitio. La estructura genética de la población de E. rhopalostele analizada a través de Structure y PCoA evidencia la presencia de dos grupos genéticos coexistiendo en el fragmento y en los mismos forófitos, posiblemente por eventos de hibridización entre especies de Epidendrum simpátricas. Los resultados del análisis de autocorrelación espacial efectuados en GenAlex confirman una estructura genético-espacial a pequeña escala que es compatible con un mecanismo de dispersión de semillas a corta distancia ocasionada por gravedad o pequeñas escorrentías, frente a la dispersión a larga distancia promovida por el viento generalmente atribuida a las orquídeas. Para la identificación de los micobiontes se amplificó la región ITS1-5.8S-ITS2, y 47 secuencias fueron usadas para el análisis filogenético basado en neighborjoining, análisis bayesiano y máximum-likelihood que determinó que Epidendrum rhopalostele establece asociaciones micorrízicas con al menos dos especies diferentes de Tulasnella. Se registraron plantas que estaban asociadas con los dos clados de hongos encontrados, sugiriendo ausencia de limitación en la distribución del hongo. Con relación a las implicaciones para la conservación in situ resultado de este trabajo se recomienda la preservación de todo el fragmento de bosque así como de las interacciones existentes (polinizadores, micorrizas) a fin de conservar la diversidad genética de esta orquídea epífita. Si fuere necesaria una reintroducción se deben contemplar distancias entre los individuos en cada forófito dentro de un rango de 0.4 m. Para promover el reclutamiento y regeneración de E. rhopalostele, se recomienda que los forófitos correspondan preferentemente a árboles muertos o caídos y a especies, como Clusia alata, que posean además corteza rugosa, sean tolerantes a la sombra, y en el área del sotobosque con menor luminosidad. Además es conveniente que las orquídeas en su distribución vertical estén ubicadas en los primeros metros. En conclusión, la limitación en la dispersión, las características del micro-sitio, las interacciones intraespecíficas y con especies congenéricas simpátricas y las preferencias micorrízicas condicionan la presencia de esta orquídea epífita en este tipo de bosque. ABSTRACT The analysis of factors that determine the establishment and survival of epiphytic depends on factors such as a) microenvironmental conditions of forest, b) preference for host characteristics where orchids grow, c) seed dispersal limitation, d) plant-plant interaction, e) priority mycorrhizal associations for germination, are essential for the development of strategies for management and conservation. This work evaluated the importance of these factors in Epidendrum rhopalostele, an epiphytic orchid of montane cloud forest through the analysis of spatial patterns of host trees and the orchid, in a more specific scale, with association studies and molecular methods, including AFLPs for orchid population genetic structure and the sequencing of the ITS region for associated mycorrhizal fungi. The aim of this thesis is to understand the factors that condition the presence of epiphytic orchids in the remnants of montane cloud forest and to assess the implications for the conservation and preservation of their habitats and the persistence of the orchid populations. The study was carried out in a fragment of montane cloud forest of secondary succession on the eastern slope of Cordillera Real in the Andes of southern Ecuador, located at 2250 m a.s.l. characterized by a steep slope, mean annual temperature of 20.8°C and annual precipitation of 2193 mm. All trees with DBH > 1 cm were mapped, characterized and identified. All E. rhopalostele individuals present were counted, marked, characterized and mapped. Leaf samples of all orchid individuals were collected for DNA analysis. Root samples of flowering E. rhopalostele individuals were collected for phylogenetic analysis of mycorrhizae, one per phorophyte. Spatial point pattern analysis based on Ripley`s K function and nearest neighbor function was used for trees, phorophytes and orchid population. We observed that spatial distribution of trees and phorophytes is not random, as it adjusts to a Poisson cluster process. This suggests a limitation for seed dispersal in the study fragment that is affecting orchid establishment. Furthermore, the small-scale spatial pattern of E. rhopalostele evidences a clustering that suggests a microsite preference for orchid establishment with a dispersal kernel of 0.4 m. Microsite features such as types of trees (dead trees or Clusia alata), shade tolerance trees, rough bark, distribution in the first meters suggest a tendency to prefer the understory for their establishment. Regarding plant-plant interaction a spatial segregation between adults and juveniles was present suggesting competition for limited resources conditioned for a microsite preference. Analysis of genetic structure of E. rhopalostele population through Structure and PCoA shows two genetic groups coexisting in this fragment and in the same phorophyte, possibly as a result of hybridization between sympatric species of Epidendrum. Our results of spatial autocorrelation analysis develop in GenAlex confirm a small-scale spatial-genetic structure within the genetic groups that is compatible with a short-distance dispersal mechanism caused by gravity or water run-off, instead of the long-distance seed dispersal promoted by wind generally attributed to orchids. For mycobionts identification ITS1-5.8S-ITS2 rDNA region was amplified. Phylogenetic analysis was performed with neighborjoining, Bayesian likelihood and maximum-likelihood for 47 sequences yielded two Tulasnella clades. This orchid establishes mycorrhizal associations with at least two different Tulasnella species. In some cases both fungi clades were present in same root, suggesting no limitation in fungal distribution. Concerning the implications for in situ conservation resulting from this work, the preservation of all forest fragment and their interactions (pollinators, mycorrhiza) is recommended to conserve the genetic diversity of this species. If a reintroduction were necessary, distances between individuals in each phorophyte within a range of 0.4 m, are recommended. To promote recruitment and regeneration of E. rhopalostele it is recommended that phorophytes correspond to dead or fallen trees or species, such as Clusia alata. Trees that have rough bark and are shade tolerant are also recommended. Furthermore, regarding vertical distribution, it is also convenient that orchids are located in the first meter (in understory, area with less light). In conclusion, limitation on seed dispersal, microsite characteristics, plant-plant interactions or interaction with cogeneric sympatric species and mycorrhizal preferences conditioned the presence of this epiphytic orchid in this fragment forest.

dbSNP: the NCBI database of genetic variation

In response to a need for a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, the National Center for Biotechnology Information (NCBI) has established the dbSNP database [S.T.Sherry, M.Ward and K.Sirotkin (1999) Genome Res., 9, 677–679]. Submissions to dbSNP will be integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data. The complete contents of dbSNP are available to the public at website: http://www.ncbi.nlm.nih.gov/SNP. The complete contents of dbSNP can also be downloaded in multiple formats via anonymous FTP at ftp://ncbi.nlm.nih.gov/snp/.

Hospitalization risk due to respiratory illness associated with genetic variation at IFITM3 in patients with influenza A(H1N1)pdm09 infection: a case-control study

Recent studies suggest an association between the Interferon Inducible Transmembrane 3 (IFITM3) rs12252 variant and the course of influenza infection. However, it is not clear whether the reported association relates to influenza infection severity. The aim of this study was to estimate the hospitalization risk associated with this variant in Influenza Like Illness (ILI) patients during the H1N1 pandemic influenza. A case-control genetic association study was performed, using nasopharyngeal/oropharyngeal swabs collected during the H1N1 pandemic influenza. Laboratory diagnosis of influenza infection was performed by RT-PCR, the IFITM3 rs12252 was genotyped by RFLP and tested for association with hospitalization. Conditional logistic regression was performed to calculate the confounder-adjusted odds ratio of hospitalization associated with IFITM3 rs12252. We selected 312 ILI cases and 624 matched non-hospitalized controls. Within ILI Influenza A(H1N1)pdm09 positive patients, no statistical significant association was found between the variant and the hospitalization risk (Adjusted OR: 0.73 (95%CI: 0.33–1.50)). Regarding ILI Influenza A(H1N1)pdm09 negative patients, CT/CC genotype carriers had a higher risk of being hospitalized than patients with TT genotype (Adjusted OR: 2.54 (95%CI: 1.54–4.19)). The IFITM3 rs12252 variant was associated with respiratory infection hospitalization but not specifically in patients infected with Influenza A(H1N1)pdm09.

Polymorphisms in the 5 '-untranslated region of the human serotonin receptor 1B (HTR1B) gene affect gene expression

We present evidence of complex balancing regulation of HTR1B transcription by common polymorphisms in its promoter. Computational analysis of the HTR1B gene predicted that a 50 segment, spanning common DNA sequence variations, T-261G, A-161T, and -182INS/DEL-181, contained a putative functional promoter. Using a secreted alkaline phosphatase (SEAP) reporter gene system, we found that the haplotype -261G_-182INS-181_A-161 enhanced transcriptional activity 2.3-fold compared with the haplotype T-261_-182INS-181_A-161. Conversely, -161T reversed this, and the net effect when -261G and -161T were in the same haplotype (-261G_-182INS-181_-161T) was equivalent to the major haplotype (T-261_-182INS-181_A-161). Electrophoretic mobility shift experiments showed that -261G and -161T modify the binding of transcription factors (TFs): -261G generates a new AP2 binding site, while alleles A-161 and -161T exhibit different binding characteristics to AP1. T-261G and A-161T were found to be in linkage disequilibrium (LD) with G861C in a European ancestry population. Interestingly, G861C has been reported to be associated with several psychiatric disorders. Our results indicate that HTR1B is the target of substantial transcriptional genetic regulation by common haplotypes, which are in LD with the HTR1B single-nucleotide polymorphism (SNP) most commonly used in association studies.

A novel screen for nuclear mitochondrial gene associations with Parkinson's disease

Genetic factors play an important role in the aetiology of Parkinson's disease (PD). We have screened nuclear genes encoding subunits of mitochondrial complex I for associations between single nucleotide polymorphisms (SNPs) and PD. Abnormal functioning of complex I is well documented in human PD. Moreover, toxicological inhibition of complex I can lead to parkinsonism in animals. Thus, commonly occurring variants in these genes could potentially influence complex I function and the risk of developing PD. A sub-set of 70 potential SNPs in 31 nuclear complex I genes were selected and association analysis was performed on 306 PD patients plus 321 unaffected control subjects. Genotyping was performed using the DASH method. There was no evidence that the examined SNPs were significant genetic risk factors for PD, although this initial screen could not exclude the possibility that other disease-influencing variations exist within these genes.

Association between chronic fatigue syndrome and the corticosteroid-binding globulin gene ALA SER224 polymorphism

Chronic fatigue syndrome (CFS) is characterized by idiopathic fatigue of greater than 6 months' duration with postexertional exacerbation and many other symptoms. A trend toward relative hypocortisolism is described in CFS. Twin and family studies indicate a substantial genetic etiologic component to CFS. Recently, severe corticosteroid-binding globulin (CBG) gene mutations have been associated with CFS in isolated kindreds. Human leukocyte elastase, an enzyme important in CBG catabolism at inflammatory sites, is reported to be elevated in CFS. We hypothesized that CBG gene polymorphisms may act as a genetic risk factor for CFS. A total of 248 patients with CFS defined by Centers for Disease Control criteria, and 248 controls were recruited. Sequencing and restriction enzyme testing of the CBG gene coding region allowed detection of severe CBG gene mutations and a common exon 3 polymorphism (c.825G --> T, Ala-Ser(224)). Plasma CBG levels were measured in 125 CFS patients and 198 controls by radioimmunoassay. Total and free (calculated and measured) cortisol levels were ascertained in single samples between 8-10 a.m. The age of onset (mid 30s) and gender ratio (2.2:1, female:male) of the patients were similar to those reported in U.S. epidemiologic studies. A trend toward a preponderance of serine(224) homozygosity among the CFS patients was noted, compared with controls (chi(2) = 5.31, P = 0.07). Immunoreactive-CBG (IR-CBG) levels were higher in Serine/Alanine (Ser/Ala) than Ala/Ala subjects and higher again in Ser/Ser subjects, this effect was strongest in controls; Ser/Ser: 46.1 +/- 1.8 (n = 31, P = 0.03) vs. Ser/Ala: 42.4 +/- 1.0 (n = 56, P = 0.05) vs. Ala/Ala: 40.8 +/- 1.7 mug/mL (n = 21). Despite higher CBG levels, there was a nonsignificant trend toward lower total and free plasma cortisol in serine allele positive patients, total cortisol: Ser/Ser: 13.3 +/- 1.4 (n = 34) vs. Ser/Ala: 14.0 +/- 0.7 (n = 66) vs. Ala/Ala: 15.4 +/- 1.0 (n = 23). Homozygosity for the serine allele of the CBG gene may predispose to CFS, perhaps due to an effect on hypothalamic-pituitary-adrenal axis function related to altered CBG-cortisol transport function or immune-cortisol interactions.

Altered cell surface expression of human MC1R variant receptor alleles associated with red hair and skin cancer risk

The human melanocortin-1 receptor gene (MC1R) encodes a G-protein coupled receptor that is primarily expressed on melanocytes, where it plays a key role in pigmentation regulation. Variant alleles are associated with red hair colour and fair skin, known as the RHC phenotype, as well as skin cancer risk. The R151C, R160W and D294H alleles, designated 'R', are strongly associated with the RHC phenotype and have been proposed to result in loss of function receptors due to impaired G-protein coupling. We recently provided evidence that the R151C and R160W variants can efficiently couple to G-proteins in response to alpha-melanocyte stimulating hormone. The possibility that altered cellular localization of the R151C and R160W variant receptors could underlie their association with RHC was therefore considered. Using immunofluorescence and ligand binding studies, we found that melanocytic cells exogenously or endogenously expressing MC1R show strong surface localization of the wild-type and D294H alleles but markedly reduced cell surface expression of the R151C and R160W receptors. In additional exogenous expression studies, the R variant D84E and the rare I155T variant, also demonstrated a significant reduction in plasma membrane receptor numbers. The V60L, V92M and R163Q weakly associated RHC alleles, designated 'r', were expressed with normal or intermediate cell surface receptor levels. These results indicate that reduced receptor coupling activity may not be the only contributing factor to the genetic association between the MC1R variants and the RHC phenotype, with MC1R polymorphisms now linked to a change in receptor localization.

New concepts for distinguishing the hidden patterns of linkage disequilibrium which underlie association between genotypes and complex phenotypes

A disappointing feature of conventional methods for detecting association between DNA variation and a phenotype of interest is that they tell us little about the hidden pattern of linkage disequilibrium (LD) with the functional variant that is actually responsible for the association. This limitation applies to case-control studies and also to the transmission/disequilibrium test (TDT) and other family-based association methods. Here we present a fresh perspective on genetic association based on two novel concepts called 'LD squares' and 'equi-risk alleles'. These describe and characterize the different patterns of gametic LD which underlie genetic association. These concepts lead to a general principle - the Equi-Risk Allele Segregation Principle - which captures the way in which underlying LD patterns affect the transmission patterns of genetic variants associated with a phenotype. This provides a basis for distinguishing the hidden LD patterns and might help to locate the functional variants responsible for the association.

Characterization of two polymorphisms in the leukotriene C4 synthase gene in an Australian population of subjects with mild, moderate, and severe asthma

Background: The cysteinyl-leukotrienes (cys-LTs) are proinflammatory mediators that are important in the pathophysiology of asthma. LTC4 synthase is a key enzyme in the cys-LT biosynthetic pathway, and studies in small populations have suggested that a promoter polymorphism (A(-444)C) in the gene might be associated with asthma severity and aspirin intolerance. Objective: We sought to screen the LTC4 synthase gene for polymorphisms and to determine whether there is an association between these polymorphisms and asthma severity or aspirin sensitivity in a large, well-phenotyped population and to determine whether this polymorphism is functionally relevant. Methods: The coding regions of the LTC4 synthase gene were screened for polymorphisms and the A(-444)C polymorphism was analyzed in a large Australian white adult population of mild (n = 282), moderate (n = 236), and severe asthmatic subjects (n = 86) and nonasthmatic subjects (n = 458), as well as in aspirin-intolerant asthmatic subjects (n = 67). The functional activity of the promoter polymorphism was investigated by transient transfection of HL-60 cells with a promoter construct. Results: A new polymorphism was identified in intron 1 of the gene (IVS1-10c>a) but was not associated with asthma. Association studies showed that the A(-444)C polymorphism was weakly associated with asthma per se, but there was no association between the C-444 allele and chronic asthma severity or aspirin intolerance. A meta-analysis of all the genetic studies conducted to date found significant between-study heterogeneity in C-444 allele frequencies within different clinical subgroups. In vitro functional studies showed no significant differences in transcription efficiency between constructs containing the A(-444) allele or the C-444 allele. Conclusions: Our data confirm that, independent of transcriptional activity, the C-444 allele in the LTC4 synthase gene is weakly associated with the asthma phenotype, but it is not related to disease severity or aspirin intolerance.

Molecular and genetic evidence for abnormalities in the nodes of Ranvier in schizophrenia

Context: Genetic, neuroimaging, and molecular neurobiological evidence support the hypothesis that the disconnectivity syndrome in schizophrenia (SZ) could arise from failures of saltatory conduction and abnormalities at the nodes of Ranvier (NOR) interface where myelin and axons interact. Objective: To identify abnormalities in the expression of oligodendroglial genes and proteins that participate in the formation, maintenance, and integrity of the NOR in SZ. Design: The messenger RNA (mRNA) expression levels of multiple NOR genes were quantified in 2 independent postmortem brain cohorts of individuals with SZ, and generalizability to protein expression was confirmed. The effect of the ANK3 genotype on the mRNA expression level was tested in postmortem human brain. Case-control analysis tested the association of the ANK3 genotype with SZ. The ANK3 genotype's influence on cognitive task performance and functional magnetic resonance imaging activation was tested in 2 independent cohorts of healthy individuals. Setting: Research hospital. Patients: Postmortem samples from patients with SZ and healthy controls were used for the brain expression study (n=46) and the case-control analysis (n=272). Healthy white men and women participated in the cognitive (n=513) and neuroimaging (n=52) studies. Main Outcome Measures: The mRNA and protein levels in postmortem brain samples, genetic association with schizophrenia, cognitive performance, and blood oxygenation level-dependent functional magnetic resonance imaging. Results: The mRNA expression of multiple NOR genes was decreased in schizophrenia. The ANK3 rs9804190 C allele was associated with lower ANK3 mRNA expression levels, higher risk for SZ in the case-control cohort, and poorer working memory and executive function performance and increased prefrontal activation during a working memory task in healthy individuals. Conclusions: These results point to abnormalities in the expression of genes and protein associated with the integrity of the NOR and suggest them as substrates for the disconnectivity syndrome in SZ. The association of ANK3 with lower brain mRNA expression levels implicates a molecular mechanism for its genetic, clinical, and cognitive associations with SZ. ©2012 American Medical Association. All rights reserved.