This dissertation aims at investigating the association between genotypes and phenotypes in human. Both common and rare regulatory variants have been studied. The phenotypes include disease risk, clinical traits and gene expression levels. This dissertation describes three different types of association study. The first study investigated the relationship between common variants and three sub-clinical traits as well as three complex diseases in the Center for Health Discovery and Well Being study (CHDWB). The second study is GWAS analysis of TNF-α and BMI/CRP conducted as a contribution to meta-GWAS analyses of these traits with investigators at the University of Groningen in the Netherlands, and the 1000 Genomes Consortium. The third study was the most original contribution of my thesis as it assessed the association between rare regulatory variants in promoter regions and gene expression levels. The results clearly show an enrichment of rare variants at both extremes of gene expression. This dissertation provides insight into how common and rare variants associate with broadly-defined quantitative phenotypes. The demonstration that rare regulatory variants make a substantial contribution to gene expression variation has important implications for personalized medicine as it implies that de novo and other rare alleles need to be considered as candidate effectors of rare disease risk.

Rare disease variants are receiving increasing importance in the past few years as the potential cause for many complex diseases, after the common disease variants failed to explain a large part of the missing heritability. With the advancement in sequencing techniques as well as computational capabilities, statistical methodology for analyzing rare variants is now a hot topic, especially in case-control association studies. In this thesis, we initially present two related statistical methodologies designed for case-control studies to predict the number of common and rare variants in a particular genomic region underlying the complex disease. Genome-wide association studies are nowadays routinely performed to identify a few putative marker loci or a candidate region for further analysis. These methods are designed to work with SNP data on such a genomic region highlighted by GWAS studies for potential disease variants. The fundamental idea is to use Bayesian methodology to obtain bivariate posterior distributions on counts of common and rare variants. While the first method uses randomly generated (minimal) ancestral recombination graphs, the second method uses ensemble clustering method to explore the space of genealogical trees that represent the inherent structure in the test subjects. In contrast to the aforesaid methods which work with SNP data, the third chapter deals with next-generation sequencing data to detect the presence of rare variants in a genomic region. We present a non-parametric statistical methodology for rare variant association testing, using the well-known Kolmogorov-Smirnov framework adapted for genetic data. it is a fast, model-free robust statistic, designed for situations where both deleterious and protective variants are present. It is also unique in utilizing the variant locations in the test statistic.

La dysplasie fibromusculaire artérielle (DFM) est un groupe de pathologies vasculaires non inflammatoires, et non athéromateuses de la paroi artérielle. Elle est caractérisée par la sténose, l'occlusion, l’anévrisme ou la dissection des artères de petit et moyen calibres, en particulier les artères rénales et le tronc supra-aortique. La DFM est un facteur de risque de l’hypertension et de l’accident vasculaire cérébral. Elle touche essentiellement les femmes (80% des cas) de moins de 50 ans. La prévalence en population générale est inconnue et les estimations varient de 0.4% pour les formes cliniques à 4% dans une cohorte de donneurs de reins. Une agrégation familiale a été démontrée et une composante génétique suggérée. L'objectif de mon travail de thèse était de caractériser les bases génétiques la DFM. Dans la première partie, nous avons analysé des variants génétiques rares générés par séquençage d'exomes chez 16 cas apparentés de DFM issus de 7 fratries. Aucun gène majeur n’était muté pour l’ensemble des fratries ou pour au moins 3 fratries sur 7. Cependant, nous avons pu mettre en évidence puis validé un enrichissement en variants rares à fort potentiel fonctionnel de quatre gènes candidats pour la DFM (MYLK, OBSCN, DYNC2H1, RNF213) en combinant l’approche de séquençage d’exomes et l’étude d’association gène entier de 62767 variants rares (MAF < 5%) générés par génotypage avec la puce Exome-chip chez 249 cas non apparentés de DFM et 689 témoins. Cependant, l’implication de ces gènes dans la DFM doit être confirmée dans d’autres familles, et par des études de validations fonctionnelles. Dans la seconde partie, nous avons étudié l'association avec la DFM de 25606 variants fréquents (MAF ≥ 5%) de l’Exome-chip. Les résultats majeurs obtenus ont été répliqués dans une première étude (402 cas de DFM et 2537 témoins) puis dans 3 autres études incluant 512 cas de DFM et 669 témoins. La méta-analyse de l’ensemble a permis d’associer à la DFM le polymorphisme rs9349379-A situé dans l’intron du gène PHACTR1 (OR=1,39 [1,39-1,54] ; P=7,36 ×10-10). Ce variant est aussi un facteur de risque pour la maladie coronaire, la migraine et la dissection de l’artère cervicale. Des études complémentaires conduites chez 2458 volontaires non malades ont permis de montrer que l’allèle à risque pour la DFM, rs9349379-A est associé avec une augmentation de l’épaisseur intima média (P=1,97×10-4) et du rapport de la paroi sur la lumière artérielle (P=0,002), deux paramètres décrits comme augmentés chez les cas de DFM dans des études antérieures. Ensuite, PHACTR1 a été détecté par immunohistochimie dans l’endothélium et les cellules musculaires lisses de carotides dysplasiques et non dysplasiques avec une expression augmentée de PHACTR1 pour les porteurs de l’allèle à risque de DFM dans des cultures primaires de fibroblastes humains (N=86, P=0,003). Enfin, l’invalidation de Phactr1 chez le poisson zèbre conduit à une dilatation des vaisseaux indiquant un défaut du développement vasculaire. Ce travail confirme le caractère multifactoriel et hétérogène de la DFM et ouvre de nouvelles perspectives pour évaluer l’ensemble de la variabilité génomique des patients de DFM par des approches massives de génétique épidémiologique. / Fibromuscular dysplasia (FMD) is a group of nonatherosclerotic and noninflammatory vascular diseases leading to stenosis, aneurysm, dissection and/or occlusion of medium-sized arteries, in particular the renal and extracranial cervical arteries. Clinical manifestations of FMD are hypertension, dizziness, pulsatile tinnitus, transient ischemic attack or stroke, according to the involved arterial beds. FMD occurs predominantly (80% of cases) in females under 50 years with a variable prevalence estimation from 0.4% for asymptomatic clinical relevant forms to 4% in potential renal donors. The pathogenesis of FMD is unknown and a genetic origin is suspected given its demonstrated familial aggregation. The aim of my thesis work was to characterize genetic basis of FMD. In the first part of this thesis, we analyzed whole exome sequencing data in 16 related FMD cases from seven families. No gene harbors variants that were shared by all affected members in at least three out seven families. Using combined strategy of whole exome sequencing and gene based association study of 62,767 rare variants (MAF < 5%) generated by Exome‐chip arrays in 249 unrelated FMD cases and 689 controls, we have identified and validated an enrichment of rare and putatively functional variants in four candidates genes (MYLK, OBSCN, DYNC2H1 and RNF213). This results need to be validated in other FMD families and by functional analysis. In the second part, we analyzed 25,606 common variants (MAF ≥ 5%) generated by Exome‐chip array. Top loci were replicated in first replication study (402 cases and 2,537 controls) and in 3 others studies (512 cases and 669 controls). Meta-analysis of all including 1,154 unrelated FMD cases and 3,895 controls allowed identification of association between FMD and rs9349379-A (OR=1.39 [1.39-1.54]; P=7.4×10‐10). rs9349379 is intronic to PHACTR1, a risk locus for coronary artery disease, migraine, and cervical artery dissection. The analyses of geometrical parameters of carotids from 2,458 healthy volunteers indicated higher intima media thickness (P = 1.97×10‐4) and wall to lumen ratio (P = 0.002) in rs9349379‐A carriers, suggesting indices of carotid hypertrophy as previously described in carotids of FMD patients. Immunohistochemistry detected PHACTR1 in endothelium and smooth muscle cells of FMD and normal human carotids. The expression of PHACTR1 by genotypes in primary human fibroblasts showed higher expression in rs9349379‐A carriers (N=86, P=0.003). Phactr1 knockdown in zebrafish resulted in dilated vessels indicating subtle impairment of vascular development. This work confirms the multifactorial and heterogeneous genetic architecture of the FMD and opens new opportunities to evaluate all of genomic variability of FMD patients with massive genetic epidemiology approaches.