The oral microbiome is a key component of the human body and has been associated with several habits and diseases. Despite its important role in health, it remains relatively understudied, compared to the gut microbiome. To deepen our understanding of the oral microbiome and its links to host conditions, the main aim of my PhD thesis was to characterize the lifestyle, environmental and genetic determinants of the salivary microbiome using data from CHRISMB, a convenience sample within the Cooperative Health Research in South Tyrol (CHRIS) study. With more than 1,900 samples, CHRISMB is one of the largest salivary microbiome data resources in the world. First, I studied the association between the salivary microbiome and smoking status and degree of exposure both from the compositional and predicted metabolism perspective. I found associations with 44 genera, 11 of which were also proportionally affected by the degree of exposure to tobacco. Intriguingly, these associations highlight a novel role of salivary microbiome metabolism in cardiovascular diseases through periodontium degeneration via the nitrate reduction and extracellular matrix degradation pathways. My second contribution focused on the role of geography, family relatedness, and genetics in shaping CHRISMB diversity. I investigated the associations between household, municipality and altitude of residence, heritability, and genetic marker associations (mbGWAS). I confirmed that cohabitation is a strong driver of microbiome similarity, while municipality and altitude of residence did not show strong associations. Siblings living apart had a more similar microbiota than unrelated and non-cohabiting individuals. Sixteen out of 142 taxa had a significant heritability component, while 34 had a significant household component. A mbGWAS Gene-level analysis resulted in one association between rare variants in the SRFBP1 and LOX genes locus and Selenomonas noxia. This work confirmed that host genetics and familial relationships has a modest but significant association with the salivary microbiome composition and that the environment and lifestyle are strongly associated. In summary, this thesis deepens our understanding of population-level factors associated with salivary microbiome variability, which can help design future hypothesis driven studies.

Cancer is a complex disease shaped by a heterogeneous landscape of inherited genetic variants and acquired somatic aberrations. Although specific patterns of somatic aberrations within key pathways are recognized as hallmarks of many cancers, and mounting evidence suggests a significant interplay between germline and somatic variants, the intricate relationship between germline predisposition and the disruption of these pathways remains poorly understood. Here, I present an integrative approach using multi-omics data to functionally characterize germline variants and explore the heterogeneous landscape of somatic mutations, with the aim of establish mechanistic links between functional variants and the disruption of cancer-related biological processes. To enable the identification of functional variants, I initially performed a comprehensive characterization of functionally annotated transcriptional regulatory elements, establishing a hierarchy of ‘consensus’ elements across multiple levels of abstraction. This analysis generated a vast collection of consensus promoters, enhancers, and active enhancers, spanning 198 cell lines and 38 tissue types, with aggregate data providing global consensus definitions for each element type. Additionally, ‘total binding affinity’ method was employed, integrating 1000 Genomes Project genotype data and thousands of transcription factor binding motifs, to further characterize and functionally annotate these regulatory elements. The results generated from this analysis can be interactively explored and visualized through the CONREL web application. To allow effective annotation of individual’s ancestry, I developed and successfully employed an improved version of EthSEQ (version 3), an R package that provides a rapid and reliable pipeline for ancestry annotation. Accurate stratification of individual ancestry is essential for correctly interpreting the impact of genomic variations in associations studies. EthSEQ version 3 was successfully utilized to determine the genetic ancestry of over 500 pediatric patients diagnosed with 11 different tumor types, enabling further investigation into the genetic landscape of patients confidently identified as of European ancestry.To further investigate into the interplay between germline and somatic variants, I conducted genome-wide association studies across 33 cancer types characterized by The Cancer Genome Atlas, using binary traits defined by somatic aberration profiles in ten oncogenic signaling pathways. Functional links between associated variants and somatic profiles were investigated through cis-eQTL data to identify regulatory interactions with pathway-related genes. Additionally, using GWAS summary statistics I employed polygenic scores to examine the contribution of germline genetic variation to somatic molecular profiles, tumor subtypes, and clinical outcomes such as patient survival and tumor aggressiveness. Polygenic scores were validated using external data from PCAWG and CCLE datasets. Lastly, to explore the heterogeneity of somatic mutational profiles, I employed a network-based approach to propagate somatic alterations through a molecular interaction network, aiming to reveal novel patterns of somatic alteration with potential significance in cancer. I then conducted a series of GWAS analyses, utilizing traits defined by combinations of these propagated somatic scores across genes involved in well-defined DNA repair pathways. Overall, I demonstrate that germline genetics can describe patients’ genetic liability to develop specific cancer molecular and clinical profiles. Understanding the functional roles of genetic variants can provide valuable insights into the biological mechanisms underlying a disease or trait.

La Maladie Thrombo-Embolique Veineuse (MTEV) est une maladie dont les facteurs de risque sont à la fois environnementaux et génétiques. Les facteurs de risque génétiques bien établis sont les déficits en anti-thrombine, en protéine S, en protéine C, la mutation du Facteur V de Leiden (FVL), la mutation du Facteur (F) II G20210A, ainsi que le gène ABO dont les allèles A1 et B augmentent le risque de MTEV par rapport aux allèles A2 et O. Alors qu’une part importante de l’héritabilité de la MTEV reste inexpliquée, les études contemporaines se heurtent à un manque de puissance pour découvrir de nouveaux facteurs génétiques dont les effets sont de plus en plus faibles. En vue d’augmenter la puissance de détection de nouveaux gènes de susceptibilité à la MTEV, j’ai recherché les déterminismes génétiques de deux de ses phénotypes intermédiaires : les taux d’activité plasmatique du FVIII et les taux d’antigénémie de sa protéine de transport, le Facteur de von Willebrand (vWF). Dans un premier temps, j’ai réalisé une analyse de liaison des taux de FVIII et de vWF à partir d’un échantillon de cinq grandes familles franco-canadiennes (totalisant 255 personnes) recrutées via un cas de MTEV avec mutation FVL. Quatre régions liées aux taux de FVIII et/ou vWF ont été identifiées. L’une de ces régions correspondait au locus du gène ABO déjà connu pour influencer les taux de FVIII et vWF. La recherche de gènes candidats au sein des autres signaux de liaison s’est effectuée par l’étude in silico d’une analyse d’association pangénomique de la MTEV incluant 419 cas et 1228 témoins. Deux gènes candidats ont été identifiés : STAB2 et BAI3. J’ai ensuite réalisé des études d’associations de cinq polymorphismes de BAI3. L’un d’entre eux était d’une part associé à une élévation des taux de vWF (résultat obtenu dans un échantillon de 108 familles nucléaires en bonne santé et reproduit dans un échantillon de 916 patients non apparentés atteints de MTEV), et d’autre part associé au risque de survenue de MTEV parmi les sujets non porteurs de mutations FVL et FII de deux échantillons cas-témoins (respectivement 916 cas et 801 témoins, et 250 cas et 607 témoins). Quant à STAB2, durant le courant de ma thèse, deux de ces polymorphismes ont été décrits comme associés aux taux de FVIII et vWF au cours d’une vaste étude d’association pangénomique (GWAS) menée par le consortium CHARGE rassemblant 23 600 personnes. Dans un second temps, j’ai réalisé une méta-analyse de trois GWAS des taux de FVIII et vWF. Ces analyses avaient été conduites avec l’échantillon des cinq grandes familles franco-canadiennes et deux échantillons de 972 et 570 patients atteints de MTEV. Elles étaient ajustées sur les polymorphismes du gène ABO permettant de distinguer les allèles A1, A2, B et O, dans l’optique d’augmenter la puissance des analyses en diminuant la variance résiduelle des phénotypes. Aucun polymorphisme n’était associé ni aux taux de vWF ni à ceux de FVIII après prise en compte de la correction de Bonferroni pour tests multiples (p<10-7). Cependant, parmi les onze gènes qui présentaient des polymorphismes associés aux taux de vWF ou de FVIII avec une significativité p<10-5, de manière intéressante se trouvait STAB2. Cette étude a de plus permis de confirmer les associations nouvellement découvertes de polymorphismes situés dans les gènes VWF, STXBP5 et STX2. / The Venous Thromboembolism (VTE) risk factors are environmental and genetic. The well established risk factors are anti-thrombin, protein C, protein S deficiency, Factor V Leiden and factor II mutation and ABO gene, with A1 and B allele increasing the risk of VTE. While an important part of VTE heritability remains unexplained, contemporary studies fail to discover new susceptibility genes with weaker effects. In order to increase the discovery power, I searched for genetic geterminism of two intermediary phenotypes of VTE : Factor VIII plasmatic activity (FVIII) and von Willebrand factor antigenemia (vWF)First, I performed a linkage study of FVIII and vWF from a sample of 5 large pedigrees (N=255). Four loci have been identified. One included ABO gene. I searched for candidate genes located in the others loci by studying in silico results from o Genome Wide Association Study (GWAS) of the VTE including 419 cases and and 1228 controls. témoins. Two candidate genes were identified : STAB2 et BAI3. Then I performed association studies of five SNPs in BAI3 with FVIII and vWF. One of them was associated to vWF (in a sample of 108 nuclear families and 916 VTE patients), and associated to VTE in two case-controls samples (respectively 916 cases and 801 controls, and 250 cases et 607 controls).Second, I performed a meta-analysis of three GWAS of FVIII and vWF from the same 5 pedigrees and two samples of VTE (N=972 and 570) adjusted on ABO blood group. No polymorphisms were significant after Bonferoni correction (p<10-7). Nevertheless, among 11 genes carrying polymorphisms with a p<10-5, interestingly was STAB2. Futhermore, this study allowed to confirm newly discoverd association with VWF, STXBP5 et STX2.

Les études d'associations en génome entier ("GWAS") ont récemment permis la découverte de nombreux polymorphismes génétiques impliqués dans la susceptibilité aux maladies multifactorielles. Cependant, ces polymorphismes n'expliquent qu'une faible part de l'héritabilité génétique de ces maladies, nous poussant ainsi à explorer de nouvelles pistes de recherche. Une des hypothèses envisagées serait qu'une partie de cette héritabilité manquante fasse intervenir des phénomènes d'interactions entre polymorphismes génétiques. L'objectif de cette thèse est d'explorer cette hypothèse en adoptant une stratégie de recherche d'interactions basée sur des critères statistiques et biologiques à partir de données issues de différentes études "GWAS". Ainsi, en utilisant différentes méthodes statistiques, nous avons commencé par rechercher des interactions entre polymorphismes qui pourraient influencer le risque de thrombose veineuse. Cette recherche n'a malheureusement pas abouti à l'identification de résultats robustes vis à vis du problème des tests multiples. Dans un deuxième temps, à partir d'hypothèses "plus biologiques", nous avons tenté de mettre en évidence des interactions entre polymorphismes impliqués dans les mécanismes de régulation de l'expression génique associés aux microARNs. Nous avons pu ainsi montrer de manière robuste dans deux populations indépendantes qu'un polymorphisme au sein de la séquence du microARN hsa-mir-219-1 interagissait avec un polymorphisme du gène HLA-DPB1 pour en moduler l'expression monocytaire. Nous avons également montré que l'expression monocytaire du gène H1F0 était influencée par un phénomène d'interaction impliquant un polymorphisme du microARN hsa-mir-659. En apportant sa propre contribution à l'engouement récent que suscite la recherche d'interactions entre polymorphismes dans les maladies dites complexes, ce travail de thèse illustre clairement la difficulté d'une telle tâche et l'importance de réfléchir à de nouvelles stratégies de recherches. / Recently, Genome-Wide Association Studies (GWAS) have led to the discovery of numerous genetic polymorphisms involved in complex human diseases. However, these polymorphisms contribute only a little to the overall genetic variability of these diseases, suggesting the need for new kind of investigations in order to disentangle the so-called "missing heritability". The purpose of my PhD project was to investigate how different research strategies relying on statistical and biological considerations could help in determining whether part of this missing heritability could reside in interaction phenomena between genetic polymorphisms. Firstly, we applied different statistical methodologies and looked for interactions between polymorphisms that could influence the risk of venous thrombosis (VT). Even though this study was based on two large GWAS datasets, we were not able to identify pairwise interactions that survive multiple testing. This work suggests that strong interactive phenomena between common SNPs are unlikely to contribute much to the risk of VT. Second, by adopting a hypothesis-driven approach relying on biological arguments, we sought for interactions between microRNA related polymorphisms that could alter genetic expression. Using two large GWAS datasets in which genome-wide monocyte expression was also available, we were able to demonstrate the existence of two pairwise interaction phenomena on monocyte expression involving miRNAs polymorphisms: 1/ the expression of HLA-DPB1 was modulated by a polymorphism in its 3'UTR region with a polymorphism in the hsa-mir-219-1 microRNA sequence; 2/ similarly, the expression of H1F0 was influenced by a polymorphism in its 3'UTR region interacting with a polymorphism in the microRNA hsa-mir-659. Altogether, this project supports for the role of gene x gene interactions in the interindividual variability of biological processes but their identifications remain a tedious task requiring large samples and the development of new research strategies and methodologies.

O feijão comum é uma das principais culturas agrícolas produzidas e consumidas no Brasil e no mundo. Por isso, várias iniciativas de pesquisa buscam dar subsídios ao melhoramento da cultura, que visa a desenvolver cultivares mais produtivos e tolerantes a estresses biótico e ábiótico, além de agregar valor nutricional e tecnológico aos grãos. Nesse cenário, no presente estudo, buscou-se identificar, a partir da abordagem de mapeamento associativo, regiões genômicas envolvidas no controle de caracteres agronômicos e no teor de macro e micronutrientes em grãos de feijão comum. Para tanto, um painel de acessos e linhagens foi (i) genotipado por sequenciamento, cujos dados perdidos foram imputados; (ii) e fenotipados para 5 caracteres agronômicos e para o teor de 13 nutrientes, em duas condições experimentais - campo e casa de vegetação. A partir da informação genotípica, foram investigados (i) a estrutura populacional, (ii) o grau de parentesco e (iii) a extensão do desequilíbrio de ligação (DL). Para as análises fenotípicas, foi utilizada a abordagem de modelos mistos. Finalmente, o mapeamento associativo foi realizado utilizando o modelo FarmCPU. Um total de 35.527 e 9.388 SNPs, com MAF &ge; 0,05, distribuídos ao longo dos 11 cromossomos de P. vulgaris, foi obtido considerando os limites de 80 e 10% de dados perdidos, respectivamente. A análise da estrutura populacional e as estimativas de parentesco permitiram evidenciar a clara distinção entre os acessos oriundos de pools gênicos diferentes. Tais fatores influenciaram fortemente a extensão do DL; portanto, medidas que corrigem para estes vieses foram adotadas e possibilitaram a constatação de que os maiores blocos genômicos em DL estão contidos nas regiões centroméricas e pericentroméricas dos cromossomos. Igualmente, foi detectado DL entre locos de cromossomos diferentes, sugerindo que o processo de melhoramento e o sistema de cruzamento da espécie contribuem para a magnitude do DL em feijão, uma vez que os vieses decorrentes da estrutura populacional e do parentesco foram corrigidos. Considerando os fenótipos avaliados, o painel aqui utilizado apresentou maior variabilidade fenotípica para os caracteres agronômicos \'dias para o florescimento\' (DPF), \'dias para formação do legume\' (DPFL), \'número de legumes por planta\' (NLPP), \'número de sementes por legume\' (NSPL) e \'massa de 100 grãos\' (M100), e para o teor dos nutrientes cobre (Cu), ferro (Fe) e zinco (Zn) presentes nos grãos. A partir do mapeamento associativo, foram identificados 176 SNPs associados aos caracteres agronômicos e teores de macro e micronutrientes. Destes, 112 estão localizados em regiões gênicas - exons (71), introns (29), 5\'-UTR (5) e 3\'-UTR (7). Logo, tais polimorfismos, principalmente aqueles localizados em exons ou próximos a locos, como o Ppd, tradicionalmente apontado como envolvido no controle de DPF, são fortes candidatos para explicar as alterações fenotípicas observadas. Os demais 64 SNPs estão localizados em regiões inter-gênicas, em porções do cromossomo nas quais a extensão do DL pode chegar a mais de 1 Mb. Portanto, é válido recomendar a investigação da região em DL que flanqueia o SNP na busca de genes associados ao controle da variação fenotípica. / Common bean is an important crop produced and consumed in Brazil and worldwide. Several research initiatives have been set up to implement breeding programs for developing more productive cultivars tolerant to biotic and abiotic stresses, and improving nutritional and technological grain quality. Therefore, the aim of this study was to use association mapping in order to identify the genomic regions controlling agronomic traits and the content of macroand micronutrients in common bean. A panel of accessions and lines was (i) genotyped by sequencing, with imputed missing data; (ii) and phenotyped for five agronomic traits and 13 grain nutrients content under two sets of experimental conditions (field and greenhouse). The genotypic information provided a basis for investigating (i) population structure, (ii) kinship and (iii) the extent of linkage disequilibrium (LD). Mixed models were used for predicting phenotypic means. Finally, association mapping was performed using the FarmCPU model. A total of 35,527 and 9,388 SNPs (MAF &ge; 0.05) distributed over the 11 chromosomes of P. vulgaris was obtained based on two missing data thresholds (80 and 10%). Population structure and kinship analysis highlighted the distinction between accessions from different gene pools. These factors strongly influenced the extent of LD. Measures to correct these biases indicated that the major LD genomic blocks were located within centromeric and pericentomeric regions. In addition, high LD was detected between loci from different chromosomes, suggesting that the breeding process and autogamy also influence LD in common bean, given that the bias resulting from population structure and kinship were corrected. The panel used exhibited high phenotypic variability for the following agronomic traits: \'days to flowering\' (DTF), \'days to pod formation\' (DTPF), \'number of pods per plant\' (NPPP), \'number of seeds per pod\' (NSPP) and \'mass of 100 grains\' (M100); and the following grain nutrient contents: copper (Cu), iron (Fe) and zinc (Zn). A total of 176 SNPs were identified by association mapping, 112 located in gene regions - exons (71), introns (29), 5\'-UTR (5) and 3\'-UTR (7). Such polymorphisms, especially those within exons or near loci as Ppd, traditionally considered to be involved in DTF control, are strong candidates for providing an elucidation of phenotypic variability. The remaining 64 SNPs were located in intergenic regions, in which the DL decays over 1 Mb. It would therefore be worth investigating LD in the region flanking the SNPs for genes associated with phenotypic variation.

Plus de 170 millions d'individus sont infectés par le VHC dans le monde et 37 millions par le VIH. La coinfection VIH/VHC est fréquente et représente un élément clé de la prise en charge des patients infectés par le VIH. Depuis l'arrivée des HAART, les maladies du foie sont devenues la cause principale de mortalité chez les patients coinfectés VIH/VHC. L'évolution naturelle et le pronostic de l'hépatite C sont plus sévères en cas de coinfection par le VIH du fait d'une fibrose accélérée et d'une évolution rapide vers la cirrhose et ses complications. Certains facteurs accélérant la fibrose hépatique sont clairs aujourd'hui comme: l'absence de recours au traitement anti-VHC, la réplication active du VHC et la consommation excessive d'alcool. De plus, il existe de plus en plus de preuves que les variants génétiques contribuent à la fibrose hépatique chez les patients monoinfectés par le VHC, mais cet aspect a été peu étudié dans la coinfection VIH/VHC.Durant ma thèse, j'ai eu accès aux données d'un échantillon de 494 patients coinfectés génotypés issu de la cohorte ANRS CO13 HEPAVIH. L'histoire naturelle du VIH et du VHC y est renseignée de manière très détaillée et le suivi clinique des patients permet d'avoir des informations précises sur l'état de fibrose hépatique. J'ai pu alors réaliser deux études d'association « génome-entier » pour identifier des polymorphismes associés à la sévérité de la fibrose à l'aide de données complètes de 292 patients. La première étude a mis en évidence une association entre la quantification de l'élasticité hépatique par Fibroscan® et un locus, également répliqué dans la monoinfection par le VHC. Cette association a permis d'identifier deux gènes impliqués dans des mécanismes de maintien de structure et de signalisation cellulaire (CAV3) mais aussi dans la réplication du VHC (RAD18). La seconde étude a identifié deux associations significatives en comparant deux groupes de scores METAVIR (F0F1F2 vs F3F4), en particulier dans le gène CTNND2 qui est impliqué dans un réseau d'interaction associé à des mécanismes moléculaires lié à des maladies hépatiques.Ces deux études sont en cours de publication dans des revues scientifiques internationales à comité de lecture. Ces nouvelles perspectives dans la compréhension des mécanismes de fibrose dans le contexte de la coinfection VIH/VHC pourraient aider à l'identification de nouvelles cibles pour la création de médicaments ou de tests diagnostiques afin d'améliorer les soins des patients. / Over 170 million people worldwide are infected by HCV and 37 million by HIV. Both viruses share the same modes of transmission, and HIV/HCV coinfection is common and represents a key element in the management of patients infected with HIV. Since the appearance of HAART, liver diseases have become the leading cause of death in HIV/HCV coinfected patients. The natural history and prognosis of hepatitis C are more severe in case of coinfection with HIV due to accelerated rate of fibrosis progression and rapid progression to cirrhosis and its complications. Factors accelerating liver fibrosis are known today such as the lack of recourse to anti-HCV treatment, active HCV replication and excessive alcohol consumption. There is increasing evidence that genetic variants contribute to liver fibrosis in HCV monoinfection, but this aspect has been little studied in HIV/HCV coinfection.I have exploited the genotype information from 494 coinfected patients from the cohort ANRS CO13 HEPAVIH. These patients are very-well documented regarding the history of their HIV/HCV infection and are very carefully followed-up, especially regarding the status of liver fibrosis. I have performed two genome-wide association studies to identify polymorphisms associated with the severity of fibrosis from complete data of 292 patients. The first study has dealt with the quantification of liver stiffness by Fibroscan® and an association with the 3p25 region has been identified, also replicated in monoinfection HCV. Two genes involved in cell signaling and structure of holding mechanisms (CAV3) but also in HCV replication (RAD18) appear as good candidates. The second study has unraveled two significant associations by comparing the METAVIR score group (F0F1F2 vs F3F4), especially in the CTNND2 gene implicated in a network of interactions with molecular mechanisms involved in liver diseases.These results are under publications in peer-review international scientific journals. These new insights into the molecular mechanisms of liver fibrosis in patients with HIV/HCV co- infection may help to define new targets for drug development or new diagnostic tests, to improve patient care.

The case-control design is one of the most commonly used designs in genome- wide asociation studies. When we increase the sample size of either the controls or, more importantly, the cases, the power of whatever test we use will certainly increase. However increasing the sample size, means that addi- tional individuals need to be genotyped and this implies extra financial costs. However, nowadays with the emergence of genetic studies, a large number of genetic data are available at low or no extra cost. Even though those data may not be completely relevant to the current study, they can still be used to increase the probability to identify true associations. Furthermore, additional information, non-necessarily genetic, can also be used to improve the power of a method. In this thesis we extend the case-control design in order to take ad- vantage of such types of additional data and/or information. We discuss three designs; the case-cohort-control, the kin-cohort and the super-case– case–control–super-control designs. For each of these, we present methods that are adjusted or modified versions of standard case-control methods but we also propose novel ones developed with those extended designs in mind. Ultimately, we describe how those methods can be used in order to increase the power of association tests, especially compared to similar methods of the case-control design.

A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine. / Genetic association studies simplify genotype‐phenotype relationship investigation by considering only the presence of a given polymorphism and the presence or absence of a given downstream phenotype. Although such associations do not indicate causation, collections of phenotypes sharing association with a single genetic polymorphism may provide valuable mechanistic insights. In this thesis we explore such genetic pleiotropy with Deep Phenotype Association Studies (DeePAS) using data from the Age‐Related Eye Study 2 (AREDS2). We also employ a novel text mining approach to extract pleiotropic associations from the published literature as a hypothesis generation mechanism. Is it possible to identify pleiotropic genetic associations across multiple published abstracts and validate these in data from AREDS2? Data from the AREDS2 trial includes 123 phenotypes including AMD features, other ocular conditions, cognitive function and cardiovascular, neurological, gastrointestinal and endocrine disease. A previously validated relationship extraction algorithm was used to isolate descriptions of genetic associations with these phenotypes in MEDLINE abstracts. Results were filtered to exclude negated findings and normalize variant mentions. Genotype data was available for 1826 AREDS2 participants. A DeePAS was performed by evaluating the association between selected SNPs and all available phenotypes. Associations that remained significant after Bonferroni‐correction were replicated in AREDS. LitWAS analysis identified 9372 SNPs with literature support for at least two distinct phenotypes, with an average of 3.1 phenotypes/SNP. PheWAS analyses revealed that two variants of the ARMS2‐HTRA1 locus at 10q26, rs10490924 and rs3750846, were significantly associated with sub‐retinal hemorrhage in AMD (rs3750846 OR 1.79 (1.41‐2.27), p=1.17*10‐7). This associated remained significant even in populations of participants with neovascular AMD. Furthermore, odds ratios for the development of sub‐retinal hemorrhage in the presence of the rs3750846 SNP were similar between incident and prevalent AREDS2 sub‐populations (OR: 1.94 vs 1.75). This association was also replicated in data from the AREDS trial. No literature‐defined pleiotropic associations tested remained significant after multiple‐testing correction. The rs3750846 variant of the ARMS2‐HTRA1 locus is associated with sub‐retinal hemorrhage. Automatic literature mining, when paired with clinical data, is a promising method for exploring genotype‐phenotype relationships.

This thesis presents genetic studies aiming at enlarging our knowledge regarding the genetic factors underlying two immune-mediated diseases, hypothyroidism and autoimmune Addison’s disease (AAD), in dogs and humans, respectively. Genetic and environmental factors are indicated to contribute to canine hypothyroidism, which can be considered a model for human Hashimoto’s thyroiditis (HT). In Paper I we performed the first genome-wide association (GWA) study of this disease in three high-risk dog breeds (Gordon Setter, Hovawart and Rhodesian Ridgeback). Using an integrated GWA and meta-analysis strategy, we identified a novel hypothyroidism risk haplotype located on chromosome 12 being shared by the three breeds. The identified haplotype, harboring three genes previously not associated with hypothyroidism, is independent of the dog leukocyte antigen region and significantly enriched across the affected dogs. In Paper II we performed a GWA study in another high-risk breed (Giant Schnauzer) and detected an associated locus located on chromosome 11 and conferring protection to hypothyroidism. After whole genome resequencing of a subset of samples with key haplotypes, we fine mapped the region of association that was subsequently screened for the presence of structural variants. We detected a putative copy number variant overlapping with the upstream region of the IFNA7 gene, which is located in a region of high genomic complexity. Remarkably, perturbed activities of type I Interferons have been extensively associated with HT and general autoimmunity. In Paper III we performed the first large-scale genetic study of human AAD, a rare autoimmune disorder characterized by dysfunction and ultimately destruction of the adrenal cortex. We resequenced 1853 immune-related genes comprising of their coding sequences, untranslated regions, as well as conserved intronic and intergenic regions in extensively characterized AAD patients and control samples, all collected in Sweden. We identified BACH2 gene as a novel risk locus associated with AAD, and we showed its independent association with isolated AAD. In addition, we confirmed the previously established AAD association with the human leukocyte antigen complex. The results of these studies will hopefully help increasing the understanding of such diseases in dogs and humans, eventually promoting their well-being.

<p>Sorghum [<i>Sorghum bicolor</i> (L.) Moench] is a staple food for millions of people in Africa and South Asia. It is mainly consumed for its starch. The starch composition and structure in the seed endosperm determines cooking properties, processing quality, and starch digestibility. </p> <p>An assay to measure the alkali spreading value (ASV) of sorghum is described. The assay was used to identify sorghum EMS mutants with variation in starch composition. The ASV mutants (ASV+) exhibited a range of starch thermal properties with starch gelatinization temperatures (GT) being lower or higher than samples from Tx623 or Sepon82. The ASV+ phenotypes were found to be correlated with starch related traits such as enthalpy (r = −0.53) and range of starch GT (T_c-T_o) (r = 0.60). </p> <p>Genes controling the ASV phenotype of sorghum and their impact on starch quality traits are described. Whole genome re-sequencing of sorghum EMS mutants exhibiting an ASV+ phenotype was used to identify single nucleotide polymorphisms (SNPs) in candidate genes <i>Sobic.004G163700</i> and <i>Sobic.010G093400</i>. The two genes were identified as a <i>SbeIIb</i>, a putative sorghum homolog of <i>amylose extender,</i> and as a <i>SSIIa</i>, respectively. Linkage analysis showed that the mutations in <i>Sobic.010G093400</i> and <i>Sobic.004G163700</i> co-segregated with the ASV phenotype. The <i>ssIIa</i>-mutants exhibited normal amylose values, lower starch GT and lower final viscosity than the wild type. The <i>sbeIIb</i>-mutants exhibited higher amylose content, higher starch GT and lower peak and final viscosity with poor gel consistency compared to the wild type and <i>ssIIa</i>-mutants. An allele dosage test indicated that the <i>sbeIIb</i>-mutants had an allele dosage dependent effect on amylose content. Double mutants of <i>sbeIIb</i> and <i>ssIIa</i> showed that amylose content, starch thermal properties and paste viscosity profiles resemble the <i>sbeIIb</i> parent. </p> <p>A study of ASV phenotypes in a panel of more than 750 sorghum conversion lines revealed genetic variation for the ASV phenotype. A few SC-lines exhibiting stable expression of the ASV+ phenotype over two growing seasons. Most of these lines were described as belonging to the working group Nandyal, durra types from India described as producing ‘glutinous grains’. Whole genome resequencing discovered common SNPs in genes associated with starch biosynthesis. A genome wide association study (GWAS) identified a significant SNP that could be associated with the starch biosynthesis gene <i>Sobic.010G273800</i>, and with candidate genes <i>Sobic.010G274800</i> and <i>Sobic.010G275001</i> both annotated as glucosyltransferases. Grain samples from SC489, SC491, SC587 and SC589 exhibited a consistent ASV+ phenotype with lower or similar starch GT, similar amylose content, and similar high viscosity and gel consistency compared to controls.</p> <p> </p>