Dans cette thèse, nous avons étudié l'influence de plusieurs variants génétiques situés dans les régions chromosomiques 5q31-q33, 6p21, et 17p12, pour lesquelles une liaison génétique avec des phénotypes de paludisme a été montrée.Les gènes NCR3 et TNF, qui sont situés dans la région chromosomique 6p21, ont été associés au paludisme dans une population vivant au Burkina Faso. Nous avons répliqué ces études dans une population congolaise afin deconfirmer les associations des polymorphismes avec les accès palustres simples et la parasitémie symptomatique. Nos résultats montrent que le polymorphismeNCR3-412 est associé avec les accès palustres simples au Congo, et que les polymorphismes TNF-308, TNF-244, et TNF-238 sont associés avec les accès palustres simples ou la parasitémie symptomatique. En outre, nos analyses bioinformatiques suggèrent que les polymorphismes TNF-244 et TNF-238 agissent en synergie pour modifier le site de fixation pour au moins un facteur de transcription.Les deux gènes HS3ST3A1 et HS3ST3B1, qui sont situés dans la région chromosomique 17p12, sont impliqués dans la biosynthèse des heparanes sulfates. Dans cette étude, nous avons étudié l'association d’un polymorphisme situé dans le promoteur de HS3ST3A1 avec les accès palustres simples et la parasitémie symptomatique, et n’avons détecté aucune association. Nous avons étudié en outre le gène NDST1, situé dans la région chromosomique 5q31-q33, et qui code également pour une enzyme impliquée dans la voie héparane sulfate. Des résultats préliminaires encourageants soutiennent l'hypothèse que la variation génétique de NDST1 influence la parasitémie asymptomatique. / In this thesis, we investigated the influence of some genetic variants located within chromosomes 5q31-q33, 6p21, and 17p12, which have been shown to be linked to malaria phenotypes. The genes NCR3 and TNF, which are located in the chromosomal region 6p21, have been reported to be associated with malaria in Burkina Faso population. We have replicated those studies in Congolese population to evaluate the associations of the SNPs in those genes with mild malaria attack and Plasmodium parasitemia. The results showed that the variant NCR3-412 is associated with mild malaria in Congo, and TNF-308, TNF-244, and TNF-238 are associated with mild malaria attack, maximum parasitemia, or both. In addition, bioinformatic studies suggest that TNF-244 and TNF-238 synergise to alter the binding of transcription factors.The two genes HS3ST3A1 and HS3ST3B1, which are located in chromosomal regions 17p12, are involved in the heparan sulfate proteoglycan biosynthesis. In this study, we further investigated the association of the polymorphisms in these genes with mild malaria attack and maximum parasitemia. However no association was found. We further studied the NDST1 gene, which is located within chromosome 5q31-q33, and which encodes the bifunctional enzyme N-deacetylase/ N-sulfotransferase 1, and also participates in the heparan sulfate synthesis . Encouraging results support the hypothesis that NDST1 variation influence controlling parasitemia. Further association and functional studies are needed to validate the role of NDST1 in malaria infection. More generally, the enzymes involved in the heparan sulfate pathway might play a key role in controlling malaria infection.

A doença de Chagas é causada pelo protozoário Trypanosoma cruzi e atinge cerca de 12 milhões de pessoas no continente americano, a forma clássica de transmissão ocorre por intermédio do inseto vetor da subfamília Triatominae, popularmente chamado de barbeiro.Em um trabalho anterior, foi realizada uma análise de segregação complexa que indicou a presença de um gene principal, com um componente multifatorial influenciando a predisposição à infecção por Trypanosoma cruzi. A população é composta por 4697 indivíduos pertencentes a 886 famílias vindas do Nordeste do Brasil e tiveram os dados e amostras de sangue e saliva coletados entre 1969 e 1970.No presente estudo foi utilizada uma amostra de 69 indivíduos, sendo 18 positivos para a infecção por Trypanosoma cruzi e 51 negativos, distribuídos em 14 famílias. Os indivíduos tiveram seu DNA extraído e genotipado utilizando microarranjos de DNA de 260 K SNPs (GeneChip Mapping Affymetrix). Testes de associação mostraram significância entre a infecção por T. cruzi e o SNP rs17469997 do cromossomo 10, com P=0,015 após a correção de Bonferroni. Para validar estes inéditos resultados, análises de ligação multi-ponto foi feita com o programa GeneHunter (KRUGLYAK et al., 1996) e ligação dois-pontos com o programa SuperLink (FISHELSON e GEIGER, 2002), mas ambas não apresentaram resultados significativos, devido ao pequeno número de famílias informativas. / Chagas disease is caused by the protozoan Trypanosssoma cruzi and is usually transmitted by Triatominae bugs and affects about 12 million people in the American continent. In a previous study, segregation analysis showed evidence of a major gene with a small multifactorial component influencing the predisposition to the Trypanosoma cruzi infection in a population composed by 4697 individuals of 886 families from Northeastern Brazil in 1969-1970 at São Paulo, Brazil. In the present work, 69 individuals (18 positives to T. cruzi infection and 51 negative) belonging to 14 families were selected. They had the DNA extracted and genotyped using 250K SNPs DNA microarrays (GeneChip Mapping Affymetrix). 18 SNPs showed evidence of association between infection to T. cruzi with P<10-5, although after Bonferroni\'s correction only the SNP rs17469997 (minor allele frequency = 0.1667, adjusted-Bonferroni P = 0.015) on chromosome 10 was significant. The other 17 SNPs that showed association with T. cruzi infection with P<10-5 can still be informative in linkage analyses. On an effort to validate these findings, a multi point linkage analyses was performed with GeneHunter (KRUGLYAK et al., 1996) program and a two point linkage analyses were performed with SuperLink (FISHELSON e GEIGER, 2002) program, both analyses showed no significant results.

Prostate cancer is the most common cancer among men. The purpose of this quantitative, meta-analysis study was to examine one-carbon metabolism gene polymorphisms in a group of genes to determine their association with prostate cancer risk. The genetic epidemiology theory provided the framework for the study. The data collected were from published articles. From over 2,800 individual studies, 20 articles were retained for results and data abstraction, following the title, abstract screen, and full text screening in the second phase. The data were analyzed by a meta-analysis statistical method, combining the results from selected studies to estimate the overall association. According to study results by the adjusted p-values of fixed model, there was a significant association between decreased risk of prostate cancer and the variant of Allele T, Genotype TT, and the recessive model of C667T polymorphism. In the random model, the adjusted p-values show a significant association between decreased risk of prostate cancer, the variant of Genotype TT, and recessive model. There was an increased risk of prostate cancer in A1298C polymorphism by adjusted p-value on the variant of Genotype AC, in the fixed model. This study leads to positive social change by providing information on an optimization surveillance strategy to ensure valid screening test for prostate disease reporting. Future studies with a greater number of samples are needed, including gene-gene and gene-environment interaction to verify study results.

Das Jahr 2000 wird oft als Meilenstein der Entwicklung der Humangenetik bezeichnet. Eine Relevanz für die praktische Medizin erlangt das Humangenom-Projekt jedoch erst, wenn die Funktion der einzelnen Gene in komplexen physiologischen Systemen und die genetische Variabilität aufgeklärt sind. Die hier vorgelegten Studien beruhen auf der Annahme, dass der Einfluss genetischer Variabilität nicht nur im Vergleich kranker und gesunder Menschen sichtbar wird, sondern auch in der Variabilität physiologischer Parameter in der Allgemeinbevölkerung nachweisbar ist. Grundlage aller Studien war eine medizinische Untersuchung von gesunden eineiigen und zweieiigen Zwillingspaaren. Es wurde für Kennwerte des Herz-Kreislauf-Systems die Stärke genetischer Einflüsse (Heritabilität) bestimmt. Weiterhin erfolgten Kopplungs- und Assoziationsanalysen mit ausgewählten Kandidatengenen. Der Einfluss spezifischer Gene auf die Blutdruckregulation, die Herzgröße, EKG-Parameter sowie Blutfette konnte nachgewiesen werden. Weiterhin wurde der prinzipielle Nachweis erbracht, dass die funktionelle Untersuchung einzelner Gene in unausgelesenen Stichproben realisierbar ist. / The year 2000 is often called a milestone in the history of human genetics. The knowledge of the sequence of the human genome will only become relevant for clinical medicine when the function of genes within complex physiological systems as well as the genetic variability will be revealed. The studies reported here are based on the assumption that the influence of genetic variability does not only become obvious by comparison of affected and unaffected subjects but is as well detectable in the variability of physiological parameters in the general population. All studies are based on testing healthy mono- and dizygotic twins. We determined the heritability of various cardiovascular parameters. Furthermore selected candidate genes were tested by linkage and association analyses. We could demonstrate the influence of specific genes on blood pressure regulation, heart size, ECG and lipids. These studies are a proof of principle for the functional analysis of single genes in unselected random samples.

No description available.

Introduction: There are no economic evaluations to determine the value of PRSs. The objective of this study was to determine if the addition of a PRS to traditional risk factors to guide statin therapy is a cost-effective intervention for the prevention of primary MI cases in the Ontario healthcare payer perspective. Methods: A PRS cost-effectiveness model was constructed to produce various statin prescription strategies in conjunction with the FRS. Upper PRS thresholds (between 25% to 70%) were set such that individuals falling into them would be eligible for statins while those in lower PRS thresholds (between 1% to 25%) were deemed protected and removed from consideration. The model determined number of incident MIs saved or not saved by statins, costs, quality of life, and the effect of statins on preventing MIs over a 10-year time horizon, discounted at 1.5% annually. One-way sensitivity analysis and a PSA were performed by varying all model parameters. Non-related participants of white British descent from 96,736 participants in the UK Biobank at intermediate risk for cardiovascular disease, determined using the Canadian Cardiovascular Society dyslipidemia guidelines of 2016, were used for the study. Results: The optimal clinical and economic strategy was one whereby the top 70% PRS individuals are eligible for statins, with the lower 5% PRS excluded. A base-case analysis at a PRS cost of $70 produced an ICER of $747,184.10/QALY, ranging from $525,678.90/QALY to $930,144.40/QALY in a one-way sensitivity analysis. In the PSA, the intervention has approximately a 50% probability of being cost-effective at $750,000/QALY. At a genotyping cost of $0, statin strategies guided by PRS dominated standard care when at least 12% of the lower PRS individuals were withheld from statins. When the predictive performance of the PRS is increased, the ICER drops drastically depending on the cost of genotyping and statin strategy. Conclusion: The cost-effectiveness model considers MI cases exclusively and a short, 10-year time horizon which likely overestimate the ICER. However, this study elucidates that the PRS has the potential to be extremely cost-effective in the future. / Thesis / Master of Science (MSc) / Approximately 1 in 3 Canadians live with at least one genetically linked chronic disease. Together, these diseases constitute a large economic burden on the healthcare system and well-being of individuals. Recent advancements in genetics allow risk prediction of developing complex, but common chronic diseases such as cardiovascular disease. Termed as polygenic risk scores, they have the potential to carry beneficial clinical outcomes such as an improved quality of life. However, the economics is not yet understood. This study determined that when targeting heart attacks, approximately $750,000 is required to gain an additional life-year for an adult. Although this may seem high, the result is closer to an upper-limit estimate than the true cost since polygenic risk scores have more benefits than solely for heart attacks. In the future, when accounting for their entire potential, the cost per life-year is likely to be lower, and perhaps even a money-returning investment.

Erythrocytes infected by mature forms of the Plasmodium falciparum parasite adhere to other components of the vascular space, a behavior considered critical to the pathogenesis of severe malaria. Adhesion is mediated by the P. falciparum erythrocyte membrane protein 1 (PfEMP1), a highly variant antigen expressed by the parasite and subject to switching during the course of an infection. The host ligands of PfEMP1 include CD36, ICAM-1 and the ABO antigens. By employing a series of population- and family-based association studies from multiple African populations, we examined whether variation in the genes underlying these molecules affects susceptibility to severe malaria. Our results suggest that a common frameshift mutation in the ABO glycosyltransferase, responsible for blood group O, is associated with protection from severe malarial phenotypes (P=2x10⁻⁷), particularly severe malarial anaemia. However, we found no significant disease associations with variation in either the ICAM1 or CD36 genes. We focused on two particular functional polymorphisms, the missense ICAM-1Kilifi and the CD36 nonsense mutation T1264G. We genotyped both markers in around 10,000 individuals, but neither demonstrated an association with severe malarial phenotypes. Malaria has been a profound selection pressure shaping human genetic diversity. The last decade has seen the development of several haplotype-based methods to detect signatures of recent positive evolutionary selection. These techniques are potentially invaluable tools in our hunt for genetic variants that protect from life threatening malaria. We used simulations and empirical data from the International HapMap Project to demonstrate the validity of searching for long regions of haplotype homozygosity, as an approach to finding alleles undergoing selective sweeps. We analysed genetic data from a range of populations, particularly those utilized by HapMap, to investigate whether our candidate genes were associated with signals of recent positive selection. We characterized the distribution of a selection event associated with the CD36 1264G allele, focused in Central-West Africa, and demonstrated a novel signal of low population differentiation at the ABO gene, suggestive of longstanding balancing selection. Our work confirms that variation in the host ligands of PfEMP1 modulates severe malaria susceptibility, and highlights the value of using signals of selection, along with functional experiments and genetic association studies, to dissect the biology of severe malaria.

La malformation de Chiari type 1 (MCI) est une anomalie congénitale de la jonction cranio-cérébrale fréquente avec une incidence de 1:1280. MCI est caractérisée par la descente des amygdales cérébelleuses à travers le foramen magnum et est souvent associée à la syringomyélie. Les causes de cette maladie semblent être multifactorielles incluant des facteurs génétiques. La MCI est similaire à une malformation fréquente chez la race des Griffon Bruxellois (GB) connue sous le nom de Malformation Chiari-like (MCL). Le modèle canin offre l’avantage d’une forte homogénéité génétique réduisant ainsi la complexité de la maladie et facilitant l’identification d’un locus causatif. Une étude d’association du génome entier sur une cohorte de 56 GB suivie d’une cartographie fine sur une cohorte de 217 GB a identifié un locus fortement associé à la MCL sur le chromosome 2 (22 SNPs, valeur P= 7 x 10-8) avec un haplotype de 1.9 Mb plus fréquent chez les non affectés. Une seconde étude d’association du génome entier sur une cohorte de 113 GB a permis d’identifier un 2 ème locus fortement associé à la MCL sur le chromosome 13 (25 SNPs , valeur P= 3 x 10 -7) avec un haplotype de 4 Mb surreprésenté chez les non affectés. Ces régions candidates constituent la première étape vers l’identification de gènes causatifs pour la MCL. Notre étude offre un point d’entrée vers une meilleure compréhension des mécanismes moléculaires sous-tendant la pathogénèse de la MCI humaine. / Chiari I malformation (CMI) represents a common congenital abnormality of the craniocerebral junction with an estimated incidence of 1 in 1280. CMI is characterized by a descent of the cerebellar tonsils into the foramen magnum, often in association with syringomyelia. The developmental defect in CMI is thought to be the result of an underdeveloped occipital bone and small posterior fossa. The etiology of CMI is thought to be multifactorial involving genetic factors. CMI in humans is similar to a condition in the dog called Chiari-like malformation (CM) that is particularly common in the Griffon Bruxellois (GB) breeds. A genome wide association study on a 56 GB cohort followed by a fine mapping in a 217 GB cohort have identified a locus on chromosome 2 that was strongly associated with CM (22 SNPs, P value= 7 x 10-8). Haploview analysis of this locus identified a haplotype of 1.9 Mb that was more frequent in non-affected dogs. A second genome wide association study in a 113 GB cohort lead to the identification of another locus on chromosome 13 that was strongly associated with CM (25 SNPs , P value= 3 x 10-7). Analysis of this region identified a 4Mb haplotype that was more frequent in non-affected dogs. Our study constitutes the first essential step towards identification of the causative genes in CM. Our study provides an entry point for better understanding of the molecular genetic mechanisms underlying the pathogenesis of human CMI.

La malformation de Chiari type 1 (MCI) est une anomalie congénitale de la jonction cranio-cérébrale fréquente avec une incidence de 1:1280. MCI est caractérisée par la descente des amygdales cérébelleuses à travers le foramen magnum et est souvent associée à la syringomyélie. Les causes de cette maladie semblent être multifactorielles incluant des facteurs génétiques. La MCI est similaire à une malformation fréquente chez la race des Griffon Bruxellois (GB) connue sous le nom de Malformation Chiari-like (MCL). Le modèle canin offre l’avantage d’une forte homogénéité génétique réduisant ainsi la complexité de la maladie et facilitant l’identification d’un locus causatif. Une étude d’association du génome entier sur une cohorte de 56 GB suivie d’une cartographie fine sur une cohorte de 217 GB a identifié un locus fortement associé à la MCL sur le chromosome 2 (22 SNPs, valeur P= 7 x 10-8) avec un haplotype de 1.9 Mb plus fréquent chez les non affectés. Une seconde étude d’association du génome entier sur une cohorte de 113 GB a permis d’identifier un 2 ème locus fortement associé à la MCL sur le chromosome 13 (25 SNPs , valeur P= 3 x 10 -7) avec un haplotype de 4 Mb surreprésenté chez les non affectés. Ces régions candidates constituent la première étape vers l’identification de gènes causatifs pour la MCL. Notre étude offre un point d’entrée vers une meilleure compréhension des mécanismes moléculaires sous-tendant la pathogénèse de la MCI humaine. / Chiari I malformation (CMI) represents a common congenital abnormality of the craniocerebral junction with an estimated incidence of 1 in 1280. CMI is characterized by a descent of the cerebellar tonsils into the foramen magnum, often in association with syringomyelia. The developmental defect in CMI is thought to be the result of an underdeveloped occipital bone and small posterior fossa. The etiology of CMI is thought to be multifactorial involving genetic factors. CMI in humans is similar to a condition in the dog called Chiari-like malformation (CM) that is particularly common in the Griffon Bruxellois (GB) breeds. A genome wide association study on a 56 GB cohort followed by a fine mapping in a 217 GB cohort have identified a locus on chromosome 2 that was strongly associated with CM (22 SNPs, P value= 7 x 10-8). Haploview analysis of this locus identified a haplotype of 1.9 Mb that was more frequent in non-affected dogs. A second genome wide association study in a 113 GB cohort lead to the identification of another locus on chromosome 13 that was strongly associated with CM (25 SNPs , P value= 3 x 10-7). Analysis of this region identified a 4Mb haplotype that was more frequent in non-affected dogs. Our study constitutes the first essential step towards identification of the causative genes in CM. Our study provides an entry point for better understanding of the molecular genetic mechanisms underlying the pathogenesis of human CMI.

Statistical heterogeneity refers to differences among results of studies combined in a meta-analysis beyond that expected by chance. On the one hand, excessive heterogeneity can diminish power to discover genetic signals; on the other, moderate heterogeneity can reveal important biological differences among studies. Given its double-edged nature, this thesis dissects heterogeneity in genetic association meta-analyses from three vantage points. First, a novel multi-variant statistic, M is proposed to detect genome-wide (systematic) heterogeneity patterns in genetic association meta-analyses. This was motivated by the limited availability of appropriate methodology to measure the impact of heterogeneity across genetic signals, since traditional metrics (Q, I² and T²) measure heterogeneity at individual variants. Second, given that meta-analyses comprising small numbers of studies typically report imprecise summary effect estimates; GWAS-derived empirical heterogeneity priors are used to improve precision in estimation of average genetic effects and heterogeneity in smaller meta-analyses (e.g. ≤ 10 studies). Third, a critical evaluation of the Han-Eskin random-effects model shows how it can identify small effect heterogeneous loci overlooked by traditional fixed and random-effects methods. This work draws attention to the existence of genome-wide heterogeneity patterns, to reveal systematic differences among the ascertainment criteria of participating studies in a meta-analysis of coronary disease (CAD) risk. Furthermore, simulation studies with the Han-Eskin random-effects model revealed inflated genetic signals at small effect loci when heterogeneity levels were high. However, it did reveal an additional CAD risk variant overlooked by traditional meta-analysis methods. We therefore recommend a holistic approach to exploring heterogeneity in meta-analyses which assesses heterogeneity of genetic effects both at individual variants with traditional statistics and across multiple genetic signals with the M statistic. Furthermore, it is critically important to review forest plots for small effect loci identified using the Han-Eskin random-effects model amidst moderate-to-high heterogeneity (I² ≥ 40%).