Dissertations / Theses on the topic 'Génétique d'association (GWAS)'
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Hereil, Alexandre. "Génétique d'association et prédiction génomique de la tolérance au stress abiotique chez la tomate." Electronic Thesis or Diss., Avignon, 2024. http://www.theses.fr/2024AVIG0374.
Abiotic stresses, such as excessive salinity or nutrient deficiency, which often result in substantial yield losses, constitute significant challenges to global agriculture. These stresses are particularly detrimental in regions facing poverty, food insecurity and water scarcity. Improving the resilience of crops of high economic and nutritional value such as tomato (Solanum lycopersicum L.) to abiotic stresses could offer significant benefits, both economically and in terms of public health. The aim of this thesis is to identify the genetic components of abiotic stress tolerance in tomato and to explore the potential of genomic prediction to improve these traits. In the first chapter, we looked at the genetic architecture of nitrogen deficiency tolerance. We used a comprehensive methodology that integrates QTL mapping with multiparental population, genome-wide association study (GWAS) using a diversity panel, and RNA-seq to identify candidate genes related to nitrogen metabolism. The next two chapters are devoted to the study of salt stress tolerance. We first studied several traits associated with sodium accumulation in various plant organs and developmental stages in a GWAS panel, which enabled us to identify QTLs and a key candidate gene involved in sodium transport within the plant. In addition, we have also studied the impact of salt stress on the root metabolome, characterising metabolites differentially regulated by salt stress and identifying biomarkers of salinity tolerance. QTLs and candidate genes linked to these target metabolites have been identified. In the following two chapters, we engaged GWAS and genomic prediction in multi-environmental analyses using a diversity panel grown under a range of environmental conditions. We have identified interaction QTLs - whose allelic effects vary according to environmental conditions - and compared different GWAS methodologies. Then we have evaluated the effectiveness of various genomic prediction models for improving tolerance to abiotic stress. Our results revealed several candidate genes that require further experimental validation to elucidate their functional roles and potential applicability in breeding programmes. Preliminary results from genomic prediction models highlight the interest of using these approaches to predict tolerance to abiotic stresses, although further validation in breeding populations is required
Coulon, Audrey. "Identification et caractérisation de déterminants génétiques de la perte synaptique associée à la maladie d'Alzheimer." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. https://pepite-depot.univ-lille.fr/ToutIDP/EDBSL/2023/2023ULILS058.pdf.
Alzheimer's disease (AD) is the prime cause of dementia, and synaptic loss is central to its pathophysiology. Although the most important risk factor is age, AD also has a significant genetic component, and genome-wide association studies (GWAS) have identified 76 loci encompassing hundreds of genes associated with the risk of developing the disease. Post-GWAS functional analyses are now needed to clarify the function of these genes and to identify underlying molecular mechanisms.In this context, I have developed different in vitro approaches to identify and characterize genes and variants involved in the AD-associated synaptic loss.First, I have developed a high content screening to assess the impact of each GWAS-identified AD genetic risk factor on synapse number in rat primary hippocampal neurons. I have identified several genes whose under-expression led to a significant modulation of synaptic density. Surprisingly, one of the best hits was PLCG2, whose neuronal function was unknown so far. Second, I have characterized the impact of PLCG2 gene silencing on neuronal electrical activity and AD-associated phenotypes in a model of induced pluripotent stem cells-derived neurons. Last, my work has focused on another AD genetic risk factor involved in synaptic function, the FERMT2 gene. In order to assess the functional role of the rs7143400 variant, located within FERMT2 gene 3'UTR, I have generated a cell line carrying this variant through CRISPR-Cas9 editing. This model has been used to evaluate the impact of the FERMT2 rs7143400 variant on gene expression and amyloid peptide precursor metabolism.Overall, this work helped to better understand how the PLCG2 and FERMT2 genetic risk factors influence the development of AD, giving further insights into the mechanisms involved the disease onset
Alfeghaly, Charbel. "Molecular Characterization of LncRNAs : ANRIL as a Model System." Thesis, Université de Lorraine, 2020. http://www.theses.fr/2020LORR0054.
The increased knowledge on long non-coding RNA (lncRNA ≥ 200-nts lacking obvious coding regions) and their involvement in global genome regulation push the lncRNA-disease interconnection to a promising and timely field of research. Due to flexible 2D structures and multiple protein binding sites, lncRNAs carry intrinsic features conferring a wide regulatory potential. Although lncRNAs are being extensively studied, the field is still suffering from a lack of knowledge on their structure/function relationships at the molecular and cellular levels. The team focuses on the characterization of the lncRNA named ANRIL (Antisense Non-coding RNA in the INK4 Locus). ANRIL is an ideal study model since it is associated to human diseases and is likely implicated in regulating the fine-tuning of gene expression via the recruitment of nucleoprotein complexes. Until now, ANRIL functions have only been superficially explored at the molecular level. ANRIL belongs to the 9p21 locus that is silenced by ANRIL via the recruitment of the polycomb repressor complex PRC1 and PRC2. Even though the trans-regulatory activity of ANRIL was demonstrated by previous studies, its molecular aspect needed to be refined. For instance, the coding and the non-coding genes contacted and regulated by ANRIL in a direct manner remained unknown. Also not documented were the mechanisms engaged by ANRIL to associate specifically with the genome. Our work tends to refine the so-called trans-activity by identifying the genes directly contacted and regulated by ANRIL. We identified genome-wide the chromatin occupancy of ANRIL in HEK293 by applying the ChIRP-seq approach and found that ANRIL associates with 3227 binding sites mostly composed by G/A residues. By crossing the ChIRP-seq with transcriptomic data from ANRIL knocked-down cells, we established a list of 189 genes corresponding to the primary trans-targets of ANRIL since they were both contacted and affected by the presence of ANRIL. Among them, 123 genes were found to be negatively regulated by ANRIL. In silico approaches highlighted the presence of multiple classes of transposable elements throughout ANRIL exons. In particular, 70% of the longest Exon8 was made up of ERVL element. We investigated its putative role in ANRIL's trans-activity. We showed that it is at least partially responsible for the association of ANRIL to the chromatin since deletion of Exon8 resulted in a severe reduction of ANRIL's genomic occupancy. By applying highly stringent criteria, we accurately identified 9 out of the 123 trans-target genes of ANRIL which expression specifically depends on Exon8. By further in silico, in cellulo and in vitro characterization, we showed that Exon8 contains a 42-nts sequence contributing in the recognition and subsequently in the silencing of the FIRRE and TPD52L1 genes. We brought evidences in favor of a recognition mode involving DNA/DNA:RNA triplex formation. Furthermore, we initiated the identification of ANRIL’s protein partners. By in vitro and in cellulo approaches, we identified hnRNP K as a novel partner of ANRIL. We evidenced a potential coregulatory role of ANRIL and hnRNP K on the 9p21 locus and other distal inflammatory loci. Finally, using the Stanislas Cohort, the identification of RNA and DNA biomarkers for the early diagnosis of cardiovascular and metabolic diseases has been initiated. GWAS data revealed novel associations of 9p21 locus SNPs with cardiovascular and metabolic diseases. We think that the conjugation of cellular, molecular and biochemical approaches we deployed in the study allowed to generate a clearer vision of ANRIL activity and its molecular links to diseases
Zhao, Jiantao. "Combining Association and Haplotype Studies Towards the Improvement of Fruit Quality in Tomato Multiple haplotype-based analyses provide genetic and evolutionary insights into tomato fruit weight and composition Meta-analysis of genome-wide association studies provides insights into genetic control of tomato flavor Genomic designing for climate smart tomato." Thesis, Avignon, 2019. http://www.theses.fr/2019AVIG0712.
Consumers have been complaining about tomato flavor for decades. Tomato taste is mainly influenced by sugars, acids and a diverse set of volatiles. Improving tomato flavor remains one of the main challenges for improving tomato sensory quality and consumer acceptability in modern tomato breeding. The main purpose of this thesis was to decipher the genetic and evolutionary control of tomato flavor by using high density SNPs and a diverse set of flavor-related metabolites, including sugars, acids, amino acids and volatiles. In the first part, I performed multiple haplotype-based analyses on a tomato core collection. Several approaches were used and compared to identify the genomic regions under selection. Haplotype and SNP-based Bayesian models identified 108 significant associations for 26 traits. Among these associations, some promising candidate genes were identified. I also compared marker local haplotype sharing (mLHS) with LD in determining the candidate regions. In addition, some general benefits of using haplotypes were also provided as general discussions. In the second part, I pioneered in introducing meta-analysis of genome-wide association studies using three tomato association panels. I demonstrated the efficiency of genotype imputation in increasing the genome-wide SNP coverage. Both fixed-effect and random-effect models (for those SNPs with heterogeneity I2 > 25) of meta-analysis were performed in order to control cross-study heterogeneity. A total of 305 significant loci were identified and 211 of which were new. Among them, 24 loci exhibited cis-eQTLs in a previous transcriptome-wide association study in fruit tissue. Enrichment analysis for all associations showed that up to 10 biological processes were significantly enriched and all of which were closely involved in flavor-related metabolites. A list of promising candidate genes was provided, which could be of great interest for functional validation. I also demonstrated the possibility to significantly increase the content of volatiles that positively contribute to consumer preferences while reducing unpleasant volatiles, by selection of the relevant allele combinations. Taken together, this thesis provides a comprehensive knowledge of the genetic control of tomato flavor, which will promote its improvement
Maupetit, Agathe. "Potentiel évolutif et déterminisme génétique de caractères d’agressivité et morphologiques de l’agent de la rouille du peuplier, Melampsora larici-populina." Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0202.
To control plant pathogens, breeding resistant plants is the most cost-effective and ecological strategy. Quantitative resistances, which are based on complex plant mechanisms, are known to be exposed to erosion through an increase of pathogens aggressiveness. Through the study the poplar – poplar rust (Melampsora larici-populina) pathosystem, this work aims to estimate the evolutionary potential of aggressiveness and morphological traits using quantitative genetic approaches and to identify molecular bases through genome-wide association study. To estimate plasticity, heritability, and trade-offs for a set of quantitative traits, we precisely measured their variation in four contrasted pathogen populations. It appeared that spore volume is highly heritable and evolved rapidly. In planta mycelium quantity is also heritable but constant because of stabilizing selection occurring in the studied populations. Latent period, lesion size and sporulation rate exhibit low heritability, which explains the absence of evolution during the studied time period. Traits involved in the sporulating function seem to be the most plastic ones along a leaf maturity gradient. However, the lack of evidence of trade-offs did not allow us to identify aggressiveness traits that would be the best targets for the construction of durable resistance in poplar. No genetic underpinning has been found for quantitative traits, but we have identified a potential avirulence locus (Avr7), opening the way for its functional characterization
Nguyen, Le Khanh. "Caractérisation fonctionnelle d'un QTL de développement racinaire détecté par GWAS dans une collection de variétés vietnamiennes de riz." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTG044.
Rice is one of the most important cereals worldwide. In Vietnam, rice is also known as a key agronomic product for exportation. However, drought stresses threaten rice production with an increasing frequency and for longer periods. Crown roots are a major component of rice root system and play a crucial role in maintaining yield under drought. The number of crown roots (NCR) impacts on root biomass and determines the ability of a plant to acquire soil resources. qNCR11, a QTL for NCR located on chromosome 11, was detected in a previous genome-wide association study using a Vietnamese rice panel. qNCR11 was validated to have a slight effect on NCR by QTL mapping using a biparental population in this study. To determine the genes underlying qNCR11 and governing crown root initiation and development, whole genome sequencing and expression study were performed. Two candidate genes, NCR2 (NBS-LRR) and NCR3 (OsbHLH014) were identified. NCR2 carried a non-synonymous SNP inside its ORF, causing a premature stop-codon that correlates with the high NCR trait; NCR3 was less expressed in stem bases of the high NCR haplotype plants relative to the low NCR haplotype plants. Mutations in these genes were obtained using the CRISPR/Cas9 system and the phenotyping of the obtained lines is on-going. The minor-effect qNCR11 could be useful for breeders to generate rice varieties with increased or decreased NCR for different target agro-systems, in order to enhance water extraction under drought stress
Milet, Jacqueline. "Étude de la composante génétique de la variabilité des infections palustres simples : Approche génome entier dans deux cohortes de jeunes enfants au Bénin First Genome-Wide Association Study of Non-Severe Malaria in Two Birth Cohorts in Benin Mixed logistic regression in Genome-Wide Association Studies." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASR013.
In spite of numerous prevention and control efforts in recent years, malaria remains a major global public health problem with nearly half a million deaths per year (405,000 in 2018). The key role played by genetic factors of the host in the susceptibility and severity of the disease is is admitted nowadays. However, the molecular basis of susceptibility / resistance to malaria has not been elucidated to date. Over the past decade, research efforts to identify genes involved in malaria susceptibility have focused on severe malaria, with several genome-wide association studies (GWAS) published. This manuscript concerns the extension of this approach to uncomplicated forms of malaria, through the genome wide association study of two birth cohorts in South Benin (800 children), followed for 18-24 months by UMR261 (MERIT IRD / University of Paris).In the first part, we present the results of the first GWAS performed on simple forms of malaria in these two cohorts. The association was tested with the recurrence of malaria attacks and the recurrence of all infections (including malaria attacks and asymptomatic infections) taking into account an environmental risk estimated at the individual level. It highlights several strong association signals, linked to genes whose biological function is relevant for malaria (in particular PTPRT, MYLK4, UROC1 and ACER3). The high genetic diversity within African populations has made it necessary to take into account the potential confounding effect of population structure. In this study we proceeded with a two-step strategy as the Cox mixed model, used for the analysis of longitudinal data, is not applicable to the whole genome due to computational burden. In a first step, an analysis was performed with a Cox mixed model to build an "individual effect" fitted on the covariates, then a linear mixed model were used to test the association with genome polymorphisms. This led us to focus more generally on non-linear mixed models. Two methods allowing the estimation of the effect of polymorphisms with the mixed logistic model are proposed, which may in the future be generalized to other models, including the Cox model.In a final part, malaria having been one of the strongest selection pressures that man has known in recent history, we explore the possibility of exploiting natural selection information to increase the power of analysis, and improve the detection of association signals. The analysis of recent positive selection signals were performed using several genome-scan methods focusing on patterns of long-range haplotype homozygosity (iHS, nsL and XP-EHH). This analysis revealed several chromosomic region of potential interest, where the signals of association and selection co-localized but confirms also the difficulty of highlighting the selection signals linked to malaria with tools currently available
Leforestier, Diane. "Localisation de régions du génome du pommier contrôlant la variation de caractères de qualité du fruit et de résistance aux maladies : signatures de sélection et génétique d'association." Thesis, Angers, 2015. http://www.theses.fr/2015ANGE0051/document.
Since apple domestication, humans have progressively selected improved varieties, especially for traits linked with fruit quality, productivity or resistance to pathogens. The genetic bases underlying these traits have been explored thanks to genetic mapping in F1 segregating populations that only allows the study of a small part of the available genetic diversity. The aim of this work was to analyze the genetic bases of fruit quality and disease resistance against apple scab and fire blight, in collections of old apple varieties representing a much larger diversity. Genotyping of core collections was performed either with arrays of 8k and 480k SNPs or by resequencing of chosen genes. Signs of genetic differentiation were identified between cider and dessert apples and were partially linked to the polyphenols pathway. After studying linkage disequilibrium, both on a large and a small scale, an association genetics approach allowed the identification of genomic regions associated with the variation of several fruit quality traits. Especially, the top of linkage group 16 was found to be linked with acidity (locus Ma), firmness, juiciness and bitterness (LAR gene). Concerning the resistance of apple to fire blight, a region containing a homolog of the NPR1 gene (defense activator) was identified. This thesis allowed the refining of the putative localization of previously identified QTLs and the identification of new genetic resources that could be useful in future selection programs using marker assisted selection
Maupetit, Agathe. "Potentiel évolutif et déterminisme génétique de caractères d’agressivité et morphologiques de l’agent de la rouille du peuplier, Melampsora larici-populina." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0202/document.
To control plant pathogens, breeding resistant plants is the most cost-effective and ecological strategy. Quantitative resistances, which are based on complex plant mechanisms, are known to be exposed to erosion through an increase of pathogens aggressiveness. Through the study the poplar – poplar rust (Melampsora larici-populina) pathosystem, this work aims to estimate the evolutionary potential of aggressiveness and morphological traits using quantitative genetic approaches and to identify molecular bases through genome-wide association study. To estimate plasticity, heritability, and trade-offs for a set of quantitative traits, we precisely measured their variation in four contrasted pathogen populations. It appeared that spore volume is highly heritable and evolved rapidly. In planta mycelium quantity is also heritable but constant because of stabilizing selection occurring in the studied populations. Latent period, lesion size and sporulation rate exhibit low heritability, which explains the absence of evolution during the studied time period. Traits involved in the sporulating function seem to be the most plastic ones along a leaf maturity gradient. However, the lack of evidence of trade-offs did not allow us to identify aggressiveness traits that would be the best targets for the construction of durable resistance in poplar. No genetic underpinning has been found for quantitative traits, but we have identified a potential avirulence locus (Avr7), opening the way for its functional characterization
Rio, Simon. "Contributions to genomic selection and association mapping in structured and admixed populations : application to maize." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS097.
The advent of molecular markers (SNPs) has revolutionized quantitative genetics methods by enabling the identification of regions involved in the genetic determinism of traits (QTLs) thanks to association studies (GWAS), or the prediction of the performance of individuals using genomic information (GS). The stratification of populations into genetic groups is common in animal and plant breeding. This structure can impact GWAS and GS methods through group differences in QTL allele frequencies and effects, as well as in linkage disequilibrium (LD) between SNP and QTL.During this thesis, two maize diversity panels were used, presenting different levels of structuration: the "Amaizing Dent" panel representing the diversity of dent lines used in Europe and the "Flint-Dent" panel including dent, flint and admixed lines between these two groups.In GS, the impact of genetic structure on genomic prediction accuracy was evaluated in the first panel for productivity and phenology traits. This study highlighted the interest of a training population (TS) whose constitution in terms of genetic groups is similar to that of the population to be predicted. Assembling the different groups within a multi-group TS appears as an effective solution to predict a broad spectrum of genetic diversity. A priori indicators of genomic prediction accuracy, based on the coefficient of determination, were also evaluated and highlighted a variable efficiency depending on the group and the trait.A new GWAS methodology was then developed to study the heterogeneity of the allele effects captured by SNPs depending on the group. The integration of admixed individuals to such analyses allows to disentangle the factors causing the heterogeneity of allele effects across groups: local genomic difference (related to LD or group-specific mutation) or epistatic interactions between the QTL and the genetic background. This methodology was applied to the "Flint-Dent" panel for flowering time. QTLs have been detected as presenting group-specific effects interacting or not with the genetic background. QTLs with an original profile have been highlighted, including known loci such as Vgt1, Vgt2 or Vgt3. Significant directional epistasis has also been demonstrated using admixed individuals and supported the existence of epistatic interactions with the genetic background for this trait.Based on the existence of such heterogeneity of allele effects, we have developed two genomic prediction models named Multi-group Admixed GBLUP (MAGBLUP). Both model group-specific QTL effects and are suited to the prediction of admixed individuals. The first allows the identification the additional genetic variance created by the admixture (segregation variance), while the second allows the evaluations of the degree of conservation of SNP allele effects across groups. These two models showed a certain interest compared to standard models to predict simulated traits, but it was more limited on real traits.Finally, the interest of admixed individuals in multi-group TS was evaluated using the second panel. Although their interest has been clearly demonstrated for simulated traits, more variable results have been observed with the real traits, which can be explained by the presence of interactions with the genetic background.The new methods and the use of admixed individuals open interesting lines of research for quantitative genetics studies in structured population
Gzara, Chaïma. "Génétique humaine de la lèpre au Vietnam : une histoire de familles." Electronic Thesis or Diss., Université Paris Cité, 2021. http://www.theses.fr/2021UNIP5234.
Leprosy is a chronic infectious disease caused by Mycobacterium leprae. It primarily affects the skin and peripheral nerves, and can cause an irreversible impairment of nerve function, often leading to severe disabilities and social stigma if left untreated. The disease, re-qualified by WHO (World Health Organization) as a “Neglected Tropical Disease” in 2017, remains a major public health problem in regions of endemic countries, with over 200,000 new cases per year (one every two minutes). It is ranked second as the most common mycobacterial infectious disease, right after tuberculosis. While it has been well established that there is a genetic contribution to this disease, the underlying genetic causes remains unknown. In our study, we sought to reveal the host´s genetic architecture of leprosy by taking of a familial epidemiological approach. We conducted the first Family-Based Genome-Wide Association Study (GWAS) of leprosy in 481 Vietnamese nuclear families (parents and children) selected based on one affected child and collected over the past 20 years. Using this sample of 1,749 individuals, including 622 affected offspring, we performed association tests between six million biallelic genetic variants (Single-Nucleotide Polymorphism, genotyped or imputed) and the binary phenotype of disease status. Following this first analysis, we conducted a replication analysis of the most promising results in an independent sample of the same ethnic origin, accounting for 1,181 cases and 668 controls. The most significant results were observed within the HLA (Human Leukocyte Antigen) region, in which 3 independent SNPs displayed genome-wide significant associations. Among these, two were for the HLA class I region and one for the HLA class II (rs1265048 [OR = 0.69; p-value = 5.5x10⁻¹¹], rs114598080 [OR = 1.47; p-value = 8.8x10⁻¹³] and rs3187964 [OR = 1.67; p-value = 8.4x10⁻¹⁶] respectively). We also identified a missense variant in the LACC1 gene (rs3764147: OR = 1.52; p-value = 5.1x10⁻¹⁴) and an intergenic variant located close to the IL12B gene (rs6871626: OR = 0.73; p-value = 6.4x10⁻⁸). LACC1 encodes a central regulator of the metabolic function and bioenergetic state of macrophages and IL12B encodes IL-12p40, which is common to two interleukins, IL-12 and IL-23. Large GWAS are expensive, strongly limiting the number of variants to test in a replication set. Here, we took advantage of the available parental phenotypic and genotypic information to perform a classical case-control study among the parents of the family-based sample. Indeed, using of extensive computer simulations, we demonstrated that this population-based parental study is a valid, powerful and costless replication strategy to confirm family-based associations. Overall, our observations add to the attractiveness of family-based designs and should provide valuable help for investigators planning to perform GWA studies. Understanding leprosy pathophysiology infection is crucial to optimize preventive approaches based on genetic profiles. Dissection of the genetic control of the infection by M. leprae by its human host, therefore, constitutes an indispensable step. Finally, repositioning the family at the heart of the genetic quest means repositioning genetics into its natural environment
Ben, Krima Safa. "Adaptation des champignons phytopathogènes à des peuplements hôtes génétiquement hétérogènes – cas du pathosystème blé dur – Zymoseptoria tritici." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASB004.
Traditional varieties are heterogeneous and constitute a source of diversity, which contributes to the productivity and the stability of agroecosystems. Indeed, plant diversity provides services to a given ecosystem, including reducing disease pressure. Understanding the mechanisms underlying plant-pathogen interactions is fundamental to improve disease management. With this in mind, I studied the adaptation between traditional Tunisian durum wheat varieties and populations of Zymoseptoria tritici, the fungus responsible for Septoria Tritici Blotch (STB). Firstly, genotyping 14 traditional varieties, considered as populations, using 9 SSR, showed that genetic diversity is equally important within a population (45%) as it is between populations (54%). This diversity is structured in seven genetic groups that can be explained in part by the nested effect of the « variety name » and the « location ». 15 phenotypic traits, including resistance to STB, were characterized and showed that the populations were also phenotypically diverse. Resistance to STB is qualitative (major resistance) for two of the populations, but generally more quantitative for the other populations. A Pst-Fst comparison demonstrated a local adaptation of traditional varieties, underlining selection trajectories that are closely linked to the territory and the agricultural practices in place. Meanwhile, a high density SNP genotyping (TaBW35K array) of a panel of 127 individuals hailing from four populations all carrying the same variety name ‘Mahmoudi’ brought to light two genetic groups shared by the four populations. This panel of individuals was phenotyped for resistance to a Tunisian Z. tritici strain in a field trial and in controlled conditions. The resulting data was used in a GWAS analysis. This analysis led to the detection of 6 loci associated to STB resistance on chromosomes 1B, 4A, 5B and 7A, including a locus on chromosome 1B associated to a qualitative major resistance. The frequency of the resistant alleles oscillates between 6 and 46% and is variable between populations. On the fungus side, four populations of Z. tritici collected on modern cultivar ‘Karim’ widely cultivated in Tunisia and one population collected on traditional variety ‘Mahmoudi’ were genotyped using 12 SSR. A low level of genetic differentiation was identified between these fungal populations suggesting a significant gene flow between locations. The population collected on ‘Mahmoudi’ was less diversified and had a higher clonal fraction than the populations collected on ‘Karim’. This points towards host-effect on Z. tritici diversity. Cross-inoculation tests highlighted a higher aggressiveness of isolates collected on ‘Mahmoudi’ to ‘Mahmoudi’ lines than that of isolates collected on ‘Karim’, interpreted as a local adaptation of pathogen populations to their sympatric host. This adaptation was especially pronounced for the latency period of isolates, once again underlining the importance of quantitative resistance in the adaptive processes evidenced here. Traditional Tunisian durum wheat varieties are practical cases of heterogeneous host populations effectively limiting STB epidemics. Our results suggest that a combination of resistance genes, mainly quantitative and occasionally with a major effect, with variable frequencies from one variety to another, is key to the sanitary success of these varieties. Findings from this study can be utilized to improve our management of crop diversity in other environments
Ulveling, Damien. "Analyse génomique de la coinfection par le virus VIH et VHC." Thesis, Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1066/document.
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
Yu, Mengyao. "Exploitation des données issues d'études d'association pangénomiques pour caractériser les voies biologiques associées au risque génétique du prolapsus de la valve mitrale GWAS-driven gene-set analyses, genetic and functional follow-up suggest GLIS1 as a susceptibility gene for mitral valve prolapse Up-dated genome-wide association study and functional annotation reveal new risk loci for mitral valve prolapse." Thesis, Sorbonne Paris Cité, 2019. https://wo.app.u-paris.fr/cgi-bin/WebObjects/TheseWeb.woa/wa/show?t=2203&f=17890.
Mitral valve prolapse (MVP) is a common heart valve disease affecting nearly 1 in 40 individuals in the general population. It is the first indication for valve repair and/or replacement and moreover, a risk factor for mitral regurgitation, an established cause of endocarditis and sudden death. MVP is characterized by excess extracellular matrix secretion and cellular disorganization which leads to bulky valves that are unable to coapt correctly during ventricular systole. Even though several genes including FLNA, DCHS1 TNS1, and LMCD1 were reported to be associated with MVP, these explain partially its heritability. However, understanding the biological mechanisms underlying the genetic susceptibility to MVP is necessary to characterize its triggering mechanisms. In this thesis, I aimed 1) to characterize globally the biological mechanisms involved in the genetic risk for MVP in the context of genome-wide association studies (GWAS), and 2) improve the genotyping resolution using genetic imputation, which allowed the discovery of additional risk genes for MVP. In the first part of my study, I applied pathway enrichment tools (i-GSEA4GWAS, DEPICT) to the GWAS data. I was able to show that genes at risk loci are involved in biological functions relevant to actin filament organization, cytoskeleton biology, and cardiac development. The enrichment for positive regulation of transcription, cell proliferation, and migration motivated the follow-up of GLIS1, a transcription factor that regulates Hedgehog signalling. I followed up the association with MVP in a dataset of cases and controls from the UK Biobank and, in combination with previously available data, I found a genome-wide significant association with MVP (OR=1.22, P=4.36 ×10-10). Through collaborative efforts, immunohistochemistry experiments in mouse indicated that Glis1 is expressed during embryonic development predominantly in nuclei of endothelial and interstitial cells of mitral valves, while Glis1 knockdown using morpholinos caused atrioventricular regurgitation in zebrafish. In the second part of my work, I generated larger genotyping datasets using a imputation based on Haplotyp Refernece Consortium and TOPMed, two large and highly dense imputation panels that were recently made available. I first compared the imputation accuracy between data using HRC and TopMED and found that both panels have low imputation accuracy for rare allele (MAF<0.01). However, the imputation accuracy increased with the input sample size for common variants (MAF>0.05), especially when genotyping platforms were harmonised. I was able to fine map established loci (e.g Chr 2) and also able to identify six novel and promising associated loci. All new loci are driven by common variants that I confirmed as high profile regulatory variants through an extensive computationally-based functional annotations at promising loci that pointed at several candidate genes for valve biology and development (e.g PDGFD and ACTN4). In summary, my PhD work applied up-to-data high throughput genetic association methods and functional enrichment and annotation to GWAS data. My results provide novel insights into the genetics, molecular and cellular basis of valve disease. Further genetic confirmation through replication, but also through biological experiments are expected to consolidate these statistically and computationally supported results
Antoni, Guillemette. "Identification de facteurs génétiques modulant deux phénotypes intermédiaires de la maladie thrombo-embolique veineuse : les taux de facteurs VIII et von Willebrand : Intérêt de l’utilisation de différentes approches de recherche pangénomique." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA11T019/document.
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
Antoni, Guillemette. "Identification de facteurs génétiques modulant deux phénotypes intermédiaires de la maladie thrombo-embolique veineuse : les taux de facteurs VIII et von Willebrand : Intérêt de l'utilisation de différentes approches de recherche pangénomique." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00712143.
Taing, Lieng. "Approches bioinformatiques pour l'exploitation des données génomiques." Phd thesis, Conservatoire national des arts et metiers - CNAM, 2012. http://tel.archives-ouvertes.fr/tel-00814272.
Jeanmougin, Marc. "Imputation HLA et analyse génomique de la coinfection VIH/VHC." Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1164/document.
Association genomics aims at finding links between the genome and some traits or illnesses. Today, the most frequent studies in this field are genome wide association studies (GWAS), which analyze as many genome variants (mainly Single Nucleotide Polymorphisms) as possible, without any a priori on their biological function. However, genotyping methods used in these studies may be insufficient to get reliable information in higly variable regions such as the HLA which plays a crucial role in immunity, and the genetic variants of such regions are often predicted using bioinformatics approaches. During my PhD, I have created a new tool, HLA-Check, that allows to rate the plausibility of HLA alleles from the genotypes obtained from genotyping chips. I also assesses its performances and showed that it was able to point out individuals with a wrong HLA typing, in order to retype them or remove them from the study. An article documenting this tool was published in BMC Bioinformatics. I have also performed a genome-wide association study on cirrhosis outbreak in individuals coinfected with HIV (human immunodeficiency virus) and HCV (hepatitis C virus). Because of similar infection routes (blood-related), co-infection with those two viruses are frequent, and the infection by HIV enhances HCV activity and increases liver fibrosis leading to cirrhosis and death of co-infected patients. Our study has dealt with 306 co-infected patients from the ANRS CO-13 HEPAVIH cohort. I could point out three statistically significant signals, two of them being highly relevant for their involvement in liver diseases (gene CTNND2 and gene MIR7-3HG). The identification of these new variants should lead to a better understanding of the molecular mechanisms involved in cirrhosis, and should contribute to the rational developement of new diagnostic or therapeutic strategies. A publication is under way
Lecompte, Sophie. "Etude du rôle du gène PROX1 dans le diabète de type 2." Phd thesis, Université du Droit et de la Santé - Lille II, 2012. http://tel.archives-ouvertes.fr/tel-00790524.
Delahaye-Sourdeix, Manon. "Moving beyond Genome-Wide Association Studies." Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10238.
Genome-wide association (GWA) studies consist in testing up to one million (or more) single nucleotide polymorphisms (SNPs) for their association with cancer risk in thousands of individuals, without requiring any prior knowledge on the functional significance of these variants. These studies have been valuable for establishing etiological hypotheses and understanding the underlying genetic architecture of human diseases. However, most of the heritable factors of these traits remain unexplained. Part of this variation may come from rarer variants that are not targeted by current genotyping arrays or variants with moderate to low effects for which detection by current GWA studies is impractical. In this context and as illustrated in this thesis, GWA studies can now serve as starting points towards further discoveries, looking for new strategies to study both rarer variants and rarer diseases. We have specifically explored these approaches in the context of lung cancer, head and neck cancer and Hodgkin's lymphoma. The use of bioinformatics to combine recent GWA study results with other sources of information, the integration of different types of genomic data as well as the investigation of the interrelationship between germline and somatic alterations represent the main opportunities pursued in this thesis work
Bernard, Anthony. "Étude des ressources génétiques du noyer en vue de la mise en œuvre d'une sélection assistée par marqueurs." Thesis, Bordeaux, 2020. http://www.theses.fr/2020BORD0128.
The present work carried out on walnut consisted in exploiting the rich genetic resources available at the INRAE of Nouvelle-Aquitaine-Bordeaux, in order to provide the tools that can be used in a new breeding program conducted by the CTIFL, centre opérationnel de Lanxade. In fact, in view of the walnut's significant economic development, the choice of varieties in France does not seem to be sufficient to meet future new constraints such as global competition and climate change. The prospecting work carried out mainly by Éric Germain's team has made it possible to gather most of the species of the genus Juglans and numerous accessions of cultivated walnut, Juglans regia L, at the UEA of Toulenne. The use of his archives accumulated over 30 years permitted to make public important chronological phenotyping data concerning this collection. These data showed the advance of the phenology of the two control varieties 'Lara' and 'Franquette' in relation to climate change. Using a set of 13 SSR markers, alleles specific to Juglans species were identified and the structure of the collection was studied. This structure shows two main subgroups, one comprising accessions from Eastern Europe and Asia and the other from Western Europe and the USA. Also, a core collection was defined to carry out GWAS studies on the main traits of agronomic interest, from flower to fruit, using a 600,000 SNP chip developed by the University of Davis in California. Associations between SNPs and several phenology-related traits were identified using archives and newly acquired data. A SNP strongly related to the budbreak date of leaves and female flowers was identified on chromosome 1 and co-localized with a QTL detected in parallel on a F1 progeny. A KASP marker was validated with plant material from the University of Davis. Other associations were also identified for dichogamy and bearing habit, a trait directly affecting yield, and led to the definition of candidate genes. Further GWAS analyses were conducted on fruit-related traits such as nut size, weight, breaking yield and force required to break the shell. In parallel, methods using robust phenotyping techniques have been developed, such as the use of X-ray microtomography to measure all morphological traits without breaking the nut. Finally, work was carried out to compare the efficiency of the two types of markers used in this work, SSR and SNP. The results show that the 13 SSR markers give similar results to several thousands of SNPs with regard to structure determination and construction of core collections, which are essential in the management of genetic resources. In the long term, the results of this work will make it possible to initiate marker-assisted selection for the creation of new varieties, within the framework of a new improvement program to be carried out by the CTIFL. These new varieties will be able to meet the criteria sought in the coming years, taking into account climate change
Wang, Wenjia. "Item Response Theory in the Neurodegenerative Disease Data Analysis." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0624/document.
Neurodegenerative diseases, such as Alzheimer’s disease (AD) and Charcot Marie Tooth (CMT), are complex diseases. Their pathological mechanisms are still not well understood, and the progress in the research and development of new potential disease-modifying therapies is slow. Categorical data like rating scales and Genome-Wide Association Studies (GWAS) data are widely utilized in the neurodegenerative diseases in the diagnosis, prediction and progression monitor. It is important to understand and interpret these data correctly if we want to improve the disease research. The purpose of this thesis is to use the modern psychometric Item Response Theory to analyze these categorical data for better understanding the neurodegenerative diseases and facilitating the corresponding drug research. First, we applied the Rasch analysis in order to assess the validity of the Charcot-Marie-Tooth Neuropathy Score (CMTNS), a main endpoint for the CMT disease clinical trials. We then adapted the Rasch model to the analysis of genetic associations and used to identify genes associated with Alzheimer’s disease by summarizing the categorical genotypes of several genetic markers such as Single Nucleotide Polymorphisms (SNPs) into one genetic score. Finally, to select sensitive items in the most used psychometrical tests for Alzheimer’s disease, we calculated the mutual information based on the item response model to evaluate the sensitivity of each item on the ADAS-cog scale