967 resultados para WIDE ASSOCIATION
Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge.
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Glucose levels 2 h after an oral glucose challenge are a clinical measure of glucose tolerance used in the diagnosis of type 2 diabetes. We report a meta-analysis of nine genome-wide association studies (n = 15,234 nondiabetic individuals) and a follow-up of 29 independent loci (n = 6,958-30,620). We identify variants at the GIPR locus associated with 2-h glucose level (rs10423928, beta (s.e.m.) = 0.09 (0.01) mmol/l per A allele, P = 2.0 x 10(-15)). The GIPR A-allele carriers also showed decreased insulin secretion (n = 22,492; insulinogenic index, P = 1.0 x 10(-17); ratio of insulin to glucose area under the curve, P = 1.3 x 10(-16)) and diminished incretin effect (n = 804; P = 4.3 x 10(-4)). We also identified variants at ADCY5 (rs2877716, P = 4.2 x 10(-16)), VPS13C (rs17271305, P = 4.1 x 10(-8)), GCKR (rs1260326, P = 7.1 x 10(-11)) and TCF7L2 (rs7903146, P = 4.2 x 10(-10)) associated with 2-h glucose. Of the three newly implicated loci (GIPR, ADCY5 and VPS13C), only ADCY5 was found to be associated with type 2 diabetes in collaborating studies (n = 35,869 cases, 89,798 controls, OR = 1.12, 95% CI 1.09-1.15, P = 4.8 x 10(-18)).
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BACKGROUND: Systematic reviews and meta-analyses of pre-clinical studies, in vivo animal experiments in particular, can influence clinical care. Publication bias is one of the major threats of validity in systematic reviews and meta-analyses. Previous empirical studies suggested that systematic reviews and meta-analyses have become more prevalent until 2010 and found evidence for compromised methodological rigor with a trend towards improvement. We aim to comprehensively summarize and update the evidence base on systematic reviews and meta-analyses of animal studies, their methodological quality and assessment of publication bias in particular. METHODS/DESIGN: The objectives of this systematic review are as follows: âeuro¢To investigate the epidemiology of published systematic reviews of animal studies until present. âeuro¢To examine methodological features of systematic reviews and meta-analyses of animal studies with special attention to the assessment of publication bias. âeuro¢To investigate the influence of systematic reviews of animal studies on clinical research by examining citations of the systematic reviews by clinical studies. Eligible studies for this systematic review constitute systematic reviews and meta-analyses that summarize in vivo animal experiments with the purpose of reviewing animal evidence to inform human health. We will exclude genome-wide association studies and animal experiments with the main purpose to learn more about fundamental biology, physical functioning or behavior. In addition to the inclusion of systematic reviews and meta-analyses identified by other empirical studies, we will systematically search Ovid Medline, Embase, ToxNet, and ScienceDirect from 2009 to January 2013 for further eligible studies without language restrictions. Two reviewers working independently will assess titles, abstracts, and full texts for eligibility and extract relevant data from included studies. Data reporting will involve a descriptive summary of meta-analyses and systematic reviews. DISCUSSION: Results are expected to be publicly available later in 2013 and may form the basis for recommendations to improve the quality of systematic reviews and meta-analyses of animal studies and their use with respect to clinical care.
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OBJECTIVE: Genetic studies might provide new insights into the biological mechanisms underlying lipid metabolism and risk of CAD. We therefore conducted a genome-wide association study to identify novel genetic determinants of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides. METHODS AND RESULTS: We combined genome-wide association data from 8 studies, comprising up to 17 723 participants with information on circulating lipid concentrations. We did independent replication studies in up to 37 774 participants from 8 populations and also in a population of Indian Asian descent. We also assessed the association between single-nucleotide polymorphisms (SNPs) at lipid loci and risk of CAD in up to 9 633 cases and 38 684 controls. We identified 4 novel genetic loci that showed reproducible associations with lipids (probability values, 1.6×10(-8) to 3.1×10(-10)). These include a potentially functional SNP in the SLC39A8 gene for HDL-C, an SNP near the MYLIP/GMPR and PPP1R3B genes for LDL-C, and at the AFF1 gene for triglycerides. SNPs showing strong statistical association with 1 or more lipid traits at the CELSR2, APOB, APOE-C1-C4-C2 cluster, LPL, ZNF259-APOA5-A4-C3-A1 cluster and TRIB1 loci were also associated with CAD risk (probability values, 1.1×10(-3) to 1.2×10(-9)). CONCLUSIONS: We have identified 4 novel loci associated with circulating lipids. We also show that in addition to those that are largely associated with LDL-C, genetic loci mainly associated with circulating triglycerides and HDL-C are also associated with risk of CAD. These findings potentially provide new insights into the biological mechanisms underlying lipid metabolism and CAD risk.
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BACKGROUND: The strong observational association between total homocysteine (tHcy) concentrations and risk of coronary artery disease (CAD) and the null associations in the homocysteine-lowering trials have prompted the need to identify genetic variants associated with homocysteine concentrations and risk of CAD. OBJECTIVE: We tested whether common genetic polymorphisms associated with variation in tHcy are also associated with CAD. DESIGN: We conducted a meta-analysis of genome-wide association studies (GWAS) on tHcy concentrations in 44,147 individuals of European descent. Polymorphisms associated with tHcy (P < 10(-8)) were tested for association with CAD in 31,400 cases and 92,927 controls. RESULTS: Common variants at 13 loci, explaining 5.9% of the variation in tHcy, were associated with tHcy concentrations, including 6 novel loci in or near MMACHC (2.1 Ã- 10(-9)), SLC17A3 (1.0 Ã- 10(-8)), GTPB10 (1.7 Ã- 10(-8)), CUBN (7.5 Ã- 10(-10)), HNF1A (1.2 Ã- 10(-12)), and FUT2 (6.6 Ã- 10(-9)), and variants previously reported at or near the MTHFR, MTR, CPS1, MUT, NOX4, DPEP1, and CBS genes. Individuals within the highest 10% of the genotype risk score (GRS) had 3-μmol/L higher mean tHcy concentrations than did those within the lowest 10% of the GRS (P = 1 Ã- 10(-36)). The GRS was not associated with risk of CAD (OR: 1.01; 95% CI: 0.98, 1.04; P = 0.49). CONCLUSIONS: We identified several novel loci that influence plasma tHcy concentrations. Overall, common genetic variants that influence plasma tHcy concentrations are not associated with risk of CAD in white populations, which further refutes the causal relevance of moderately elevated tHcy concentrations and tHcy-related pathways for CAD.
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Infectious diseases, both in their endemic and epidemic forms, have shaped the human genome. Ecology has also contributed to geographically constrained pressures on human populations. There are now multiple examples of population-specific genetic variants that modulate susceptibility to infection - several of which have been observed solely in Europeans. The pathogen genome also mutates and adapts to individuals and common alleles in populations. The current understanding has benefited from genome-wide association studies as well as from rapid progress in the genetic characterization of Mendelian immunodeficiencies that are defined by susceptibility to specific pathogens. It is expected that current efforts to characterize rare human genetic variants will contribute to the understanding of severe manifestations of common infections in European and other human groups.
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This is a crucial transition time for human genetics in general, and for HIV host genetics in particular. After years of equivocal results from candidate gene analyses, several genome-wide association studies have been published that looked at plasma viral load or disease progression. Results from other studies that used various large-scale approaches (siRNA screens, transcriptome or proteome analysis, comparative genomics) have also shed new light on retroviral pathogenesis. However, most of the inter-individual variability in response to HIV-1 infection remains to be explained: genome resequencing and systems biology approaches are now required to progress toward a better understanding of the complex interactions between HIV-1 and its human host.
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There is increasing evidence that the microcirculation plays an important role in the pathogenesis of cardiovascular diseases. Changes in retinal vascular caliber reflect early microvascular disease and predict incident cardiovascular events. We performed a genome-wide association study to identify genetic variants associated with retinal vascular caliber. We analyzed data from four population-based discovery cohorts with 15,358 unrelated Caucasian individuals, who are members of the Cohort for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and replicated findings in four independent Caucasian cohorts (n = 6,652). All participants had retinal photography and retinal arteriolar and venular caliber measured from computer software. In the discovery cohorts, 179 single nucleotide polymorphisms (SNP) spread across five loci were significantly associated (p<5.0×10(-8)) with retinal venular caliber, but none showed association with arteriolar caliber. Collectively, these five loci explain 1.0%-3.2% of the variation in retinal venular caliber. Four out of these five loci were confirmed in independent replication samples. In the combined analyses, the top SNPs at each locus were: rs2287921 (19q13; p = 1.61×10(-25), within the RASIP1 locus), rs225717 (6q24; p = 1.25×10(-16), adjacent to the VTA1 and NMBR loci), rs10774625 (12q24; p = 2.15×10(-13), in the region of ATXN2,SH2B3 and PTPN11 loci), and rs17421627 (5q14; p = 7.32×10(-16), adjacent to the MEF2C locus). In two independent samples, locus 12q24 was also associated with coronary heart disease and hypertension. Our population-based genome-wide association study demonstrates four novel loci associated with retinal venular caliber, an endophenotype of the microcirculation associated with clinical cardiovascular disease. These data provide further insights into the contribution and biological mechanisms of microcirculatory changes that underlie cardiovascular disease.
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BACKGROUND: Therapy of chronic hepatitis C (CHC) with pegIFNα/ribavirin achieves a sustained virologic response (SVR) in ∼55%. Pre-activation of the endogenous interferon system in the liver is associated with non-response (NR). Recently, genome-wide association studies described associations of allelic variants near the IL28B (IFNλ3) gene with treatment response and with spontaneous clearance of the virus. We investigated if the IL28B genotype determines the constitutive expression of IFN stimulated genes (ISGs) in the liver of patients with CHC. METHODS: We genotyped 93 patients with CHC for 3 IL28B single nucleotide polymorphisms (SNPs, rs12979860, rs8099917, rs12980275), extracted RNA from their liver biopsies and quantified the expression of IL28B and of 8 previously identified classifier genes which discriminate between SVR and NR (IFI44L, RSAD2, ISG15, IFI22, LAMP3, OAS3, LGALS3BP and HTATIP2). Decision tree ensembles in the form of a random forest classifier were used to calculate the relative predictive power of these different variables in a multivariate analysis. RESULTS: The minor IL28B allele (bad risk for treatment response) was significantly associated with increased expression of ISGs, and, unexpectedly, with decreased expression of IL28B. Stratification of the patients into SVR and NR revealed that ISG expression was conditionally independent from the IL28B genotype, i.e. there was an increased expression of ISGs in NR compared to SVR irrespective of the IL28B genotype. The random forest feature score (RFFS) identified IFI27 (RFFS = 2.93), RSAD2 (1.88) and HTATIP2 (1.50) expression and the HCV genotype (1.62) as the strongest predictors of treatment response. ROC curves of the IL28B SNPs showed an AUC of 0.66 with an error rate (ERR) of 0.38. A classifier with the 3 best classifying genes showed an excellent test performance with an AUC of 0.94 and ERR of 0.15. The addition of IL28B genotype information did not improve the predictive power of the 3-gene classifier. CONCLUSIONS: IL28B genotype and hepatic ISG expression are conditionally independent predictors of treatment response in CHC. There is no direct link between altered IFNλ3 expression and pre-activation of the endogenous system in the liver. Hepatic ISG expression is by far the better predictor for treatment response than IL28B genotype.
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Elevated serum uric acid levels cause gout and are a risk factor for cardiovascular disease and diabetes. To investigate the polygenetic basis of serum uric acid levels, we conducted a meta-analysis of genome-wide association scans from 14 studies totalling 28,141 participants of European descent, resulting in identification of 954 SNPs distributed across nine loci that exceeded the threshold of genome-wide significance, five of which are novel. Overall, the common variants associated with serum uric acid levels fall in the following nine regions: SLC2A9 (p = 5.2x10(-201)), ABCG2 (p = 3.1x10(-26)), SLC17A1 (p = 3.0x10(-14)), SLC22A11 (p = 6.7x10(-14)), SLC22A12 (p = 2.0x10(-9)), SLC16A9 (p = 1.1x10(-8)), GCKR (p = 1.4x10(-9)), LRRC16A (p = 8.5x10(-9)), and near PDZK1 (p = 2.7x10(-9)). Identified variants were analyzed for gender differences. We found that the minor allele for rs734553 in SLC2A9 has greater influence in lowering uric acid levels in women and the minor allele of rs2231142 in ABCG2 elevates uric acid levels more strongly in men compared to women. To further characterize the identified variants, we analyzed their association with a panel of metabolites. rs12356193 within SLC16A9 was associated with DL-carnitine (p = 4.0x10(-26)) and propionyl-L-carnitine (p = 5.0x10(-8)) concentrations, which in turn were associated with serum UA levels (p = 1.4x10(-57) and p = 8.1x10(-54), respectively), forming a triangle between SNP, metabolites, and UA levels. Taken together, these associations highlight additional pathways that are important in the regulation of serum uric acid levels and point toward novel potential targets for pharmacological intervention to prevent or treat hyperuricemia. In addition, these findings strongly support the hypothesis that transport proteins are key in regulating serum uric acid levels.
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We present the most comprehensive comparison to date of the predictive benefit of genetics in addition to currently used clinical variables, using genotype data for 33 single-nucleotide polymorphisms (SNPs) in 1,547 Caucasian men from the placebo arm of the REduction by DUtasteride of prostate Cancer Events (REDUCE®) trial. Moreover, we conducted a detailed comparison of three techniques for incorporating genetics into clinical risk prediction. The first method was a standard logistic regression model, which included separate terms for the clinical covariates and for each of the genetic markers. This approach ignores a substantial amount of external information concerning effect sizes for these Genome Wide Association Study (GWAS)-replicated SNPs. The second and third methods investigated two possible approaches to incorporating meta-analysed external SNP effect estimates - one via a weighted PCa 'risk' score based solely on the meta analysis estimates, and the other incorporating both the current and prior data via informative priors in a Bayesian logistic regression model. All methods demonstrated a slight improvement in predictive performance upon incorporation of genetics. The two methods that incorporated external information showed the greatest receiver-operating-characteristic AUCs increase from 0.61 to 0.64. The value of our methods comparison is likely to lie in observations of performance similarities, rather than difference, between three approaches of very different resource requirements. The two methods that included external information performed best, but only marginally despite substantial differences in complexity.
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Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural menopause (at P < 5 × 10(-8)). Candidate genes located at these newly associated loci include genes implicated in DNA repair (EXO1, HELQ, UIMC1, FAM175A, FANCI, TLK1, POLG and PRIM1) and immune function (IL11, NLRP11 and PRRC2A (also known as BAT2)). Gene-set enrichment pathway analyses using the full GWAS data set identified exoDNase, NF-κB signaling and mitochondrial dysfunction as biological processes related to timing of menopause.
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1 Abstract Sleep is a vital necessity, yet its basic physiological function is still unknown, despite numerous studies both in healthy humans and animal models. The study of patients with sleep disorders may help uncover major biological pathways in sleep regulation and thus shed light on the actual function of sleep. Narcolepsy is a well defined but rare sleep disorder characterized by excessive daytime sleepiness and cataplexy, thought to be caused by a combination of genetic and environmental factors. The aim of this work was to identify genes or genetic variants, which contribute to the pathogenesis of sporadic and familial narcolepsy. Sporadic narcolepsy is the disorder with the strongest human leukocyte antigen (HLA) association ever reported. Since the associated HLA-DRB1 *1501-DQB1 *0602 haplotype is common in the general population (15-25%), it has been suggested that it is necessary but not sufficient for developing narcolepsy. To further define the genetic basis of narcolepsy risk, we performed a genome-wide association study (GWAS) in 562 European individuals with narcolepsy (cases) and 702 ethnically matched controls, with independent replication in 370 cases and 495 controls, all heterozygous for DRB1*1501-DQB1*0602. We found association with a protective variant near HLA-DQA2. Further analysis revealed that the identified SNP is strongly linked to DRB1*03-DQB1*02 and DRBΠ 301-DQB1*0603. Cases almost never carried a trans DRB1*1301-DQB1*0603 haplotype. This unexpected protective HLA haplotype suggests a causal involvement of the HLA region in narcolepsy susceptibility. Familial cases of narcolepsy account for 10% of all narcolepsy cases. However, due to low number of affected family members, narcolepsy families are usually not eligible for genetic linkage studies. We identified and characterized a large Spanish family with 11 affected family members representing the largest ever reported narcolepsy family. We ran a genetic linkage analysis using DNA of 11 affected and 15 unaffected family members and hereby identified a chromosomal candidate region on chromosome 6 encompassing 163 kb with a maximum multipoint LOD score of 5.02. The coding sequences of 4 genes within this haplotype block as well as 2 neighboring genes were screened for pathogenetic mutations in 2 affected and 1 healthy family members. So far no pathogenic mutation could be identified. Further in-depth sequencing of our candidate region as well as whole genome exome sequencing are underway to identify the pathogenic mutation(s) in this family and will further improve our understanding of the genetic basis of narcolepsy. 2 Résumé Le sommeil est un processus vital, dont la fonction physiologique est encore inconnue, malgré de nombreuses études chez des sujets humains sains ainsi que dans des modèles animaux. L'étude de patients souffrant de troubles du sommeil peut permettre la découverte de voies biologiques jouant un rôle majeur dans la régulation du sommeil. L'un de ces troubles, la narcolepsie, est une maladie rare mais néanmoins bien définie, caractérisée par une somnolence diurne excessive accompagnée de cataplexies. Les connaissances actuelles suggèrent qu'une combinaison de facteurs génétiques et environnementaux en est à l'origine. Le but du présent travail était d'identifier !e(s) gène(s) ou les polymorphismes constituant des facteurs de risque dans les formes sporadique et familiale de narcolepsie. La narcolepsie sporadique est la maladie possédant la plus forte association avec le complexe majeur d'histocompatibilité humain (HLA) jamais reportée. La fréquence au sein de la population générale de l'haplotype associé HLA-DRB1*1501- DQB1*0602 (15-25%) suggère que ce dernier est nécessaire, mais pas suffisant, pour (e développement de la maladie. Nous avons voulu approfondir la recherche de facteurs génétiques augmentant le risque de la narcolepsie. A cette fin, nous avons entrepris une étude d'association à l'échelle du génome (genome-wide association study, GWAS) parmi 562 sujets narcoleptiques européens (cas) et 702 individus contrôle de même origine ethnique et nous avons trouvé une association avec un variant protecteur près du gène HLA- DQA2. Ce résultat a été répliqué indépendamment dans 370 cas et 495 contrôles, tous hétérozygotes au locus DRB1*1501-DQB1*0602. Une analyse plus fine montre que le polymorphisme identifié est fortement lié aux allèles DRB1*03-DQB1*02 et DRB1*1301-DQB1*0603. Nous notons que seul un cas était porteur d'un haplotype en trans DRB1*1301-DQBr0603. La découverte de cet allele HLA protecteur suggère que la région HLA joue un rôle causal dans la susceptibilité à la narcolepsie. Dix pourcents des cas de narcolepsie sont familiaux. Cependant, le faible nombre de membres affectés rend ces familles inéligibles pour des études de liaison génétique. Nous avons identifié et caractérisé une grande famille espagnole, dont 11 membres sont atteints par la maladie, ce qui représente la plus grande famille narcoleptique rapportée jusqu'à ce jour. A partir de l'ADN de 11 membres atteints et 15 non- atteints, nous avons identifié par étude de liaison une région candidate de 163 kîlobases (kb) sur le chromosome 6, correspondant à un LOD score multipoints de 5.02. Nous avons cherché, sans succès, des mutations pathogéniques dans la séquence codante de deux gènes situés à l'intérieur de ce segment, ainsi que 4 gènes adjacents. Un séquençage plus approfondi de la région ainsi que le séquençage des exons de tout le génome est en cours et doit s'avérer plus fructueux et révéler la ou tes mutation(s) pathogénique(s) dans cette famille, ce qui contribuerait à une meilleure compréhension des causes génétiques de la narcolepsie. 3 Résumé pour un large public Le sommeil est une nécessité vitale, dont le rôle physiologique exact reste inconnu malgré de nombreuses études sur des sujets humains sains ainsi que sur des modèles animaux. C'est pourquoi les troubles du sommeil intéressent les chercheurs, car l'élucidation des mécanismes responsables peut permettre de mieux comprendre le fonctionnement du sommeil normal. La narcolepsie est une maladie du sommeil caractérisée par une somnolence diurne excessive. Les personnes atteintes peuvent s'endormir involontairement à tout moment de la journée, et souffrent également de pertes du tonus musculaire (cataplexie) lors de fortes émotions, par exemple un fou rire. La narcolepsie est une maladie rare, apparaissant dans 1 personne sur 2000. Les connaissances actuelles suggèrent qu'une combinaison de facteurs génétiques et environnementaux en est à l'origine. Nous avons voulu identifier les facteurs génétiques influençant le déclenchement de la maladie, d'abord dans sa forme sporadique, puis dans une famille comptant de nombreux membres atteints. En comparant les variations génétiques de près de 1000 sujets narcoleptiques européens avec ceux de 1200 individus sains, nous avons trouvé chez 30% de ces derniers un variant protecteur, qui diminue de 50 fois le risque de développer la maladie, ce qui constitue le plus puissant facteur génétique protecteur décrit à ce jour. Nous avons ensuite étudié une grande famille espagnole comptant une trentaine de membres, dont 11 sont atteints de narcolepsie. De nouveau, nous avons comparé les variations génétiques des membres atteints avec ceux des membres sains. Nous avons ainsi pu identifier une région dans le génome où se trouverait le(s) gène(s) impliqué(s) dans la maladie dans cette famille, mais n'avons pas encore trouvé le(s) variant(s) exact(s). Une étude plus approfondie devrait permettre de P(les) identifier et ainsi contribuer à l'élucidation des mécanismes menant au développement de la narcolepsie.
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RESUME - FRANÇAISRésuméDans ce travail de thèse, l'importance de la pharmacogénétique des traitements antiviraux a été évaluée en déterminant, au moyen de trois différentes approches, l'impact de variations génétiques sur la pharmacocinétique de deux traitements antirétroviraux (à savoir l'efavirenz et le lopinavir) ainsi que sur la capacité de pouvoir éliminer le virus de l'hépatite C de façon naturelle ou suite à un traitement médicamenteux.L'influence des variations génétiques sur les taux plasmatiques de l'efavirenz et de ses métabolites primaires a été évaluée par l'analyse d'un seul gène candidat : le cytochrome P450 (CYP) 2A6, impliqué dans une voie métabolique accessoire de l'efavirenz. Cette étude a permis de démontrer que le génotype du CYP2A6 devient cliniquement déterminant en l'absence de fonction du CYP2B6, impliqué dans la voie métabolique principale, et que la perte simultanée des voies métaboliques principales et accessoires entraine une augmen¬tation du risque d'interruption du traitement, soulignant la valeur prédictive du génotypage.L'influence de la génétique sur la clairance du lopinavir a été évaluée par l'analyse à grande échelle de gènes candidats, à savoir les gènes potentiellement impliqués dans l'absorption, le métabolisme, la distribution et l'élimination d'un médicament. Cette étude a permis l'identification de 4 polymorphismes, dans des transporteurs et des enzymes métaboliques, associés à la clairance du lopinavir et expliquant 5% de la variabilité inter¬individuelle de ce phénotype.L'influence de la génétique sur la capacité d'éliminer le virus de l'hépatite C, de façon naturelle ou à la suite d'un traitement, a été évaluée par l'analyse du génome entier. Cette étude a permis l'identification d'un polymorphisme situé à proximité de l'interféron-X3. Quatre variations génétiques potentiellement causales ont ensuite pu être identifiées par reséquencage. Finalement, la contribution nette de ce gène sur l'élimination du virus a pu être évaluée dans une cohorte infectée par une seule et même source, permettant ainsi de contrôler l'effet de la diversité virale, du genre et de la présence de co-infections.Cette thèse a permis de mettre en évidence les diverses méthodes disponibles pour la recherche en pharmacogénétique, ainsi que l'importance du reséquencage pour l'identification de variations génétiques causales.SUMMARY - ENGLISHSummaryIn this thesis work the relevance of pharmacogenetics of antiviral treatment has been assessed by investigating, through three different approaches, the impact of host genetic variation on antiretroviral drug disposition (namely efavirenz and lopinavir) and on natural or treatment-induced clearance of hepatitis C virus.The influence of host genetic variation on efavirenz and its primary metabolite plasma levels was assessed by single candidate gene approach, through comprehensive analysis of cytochrome P450 (CYP) 2A6 - involved in efavirenz accessory metabolic pathway. The study could demonstrate that CYP2A6 genotype became increasingly relevant in the setting of limited CYP2B6 function - involved in efavirenz main metabolic pathway - and that individuals with both main and accessory metabolic pathways impaired were at higher risk for treatment discontinuation, overall emphasizing the predictive power of genotyping.The influence of host genetic variation on lopinavir clearance was assessed by large scale candidate gene approach, through analysis of genes involved in the absorption, distribution, metabolism and elimination. The study identified four genetic variants in drug transporters and metabolizing enzymes that explained 5% of the interindividual variability in lopinavir clearance.The influence of host genetic variation on hepatitis C virus (HCV) natural or treatment- induced clearance was assessed through genome-wide association study approach. This study identified an intergenic polymorphism, part of a linkage disequilibrium block encompassing the interferon-3 gene, as highly associated with treatment-induced and spontaneous HCV clearance. Resequencing and recombinant mapping lead to the identification of four potentially causal genetic variants. Finally, we could assess the net contribution of genetic variants in interferon-3 to clearance by controlling for viral diversity, gender and co-infection status in a single source infected cohort.This thesis highlights the various genetic tools available to pharmacogenetic discovery (candidate gene, pathway or and genome-wide approaches), and the importance of resequencing for mapping of causal variants.
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β-blockers and β-agonists are primarily used to treat cardiovascular diseases. Inter-individual variability in response to both drug classes is well recognized, yet the identity and relative contribution of the genetic players involved are poorly understood. This work is the first genome-wide association study (GWAS) addressing the values and susceptibility of cardiovascular-related traits to a selective β(1)-blocker, Atenolol (ate), and a β-agonist, Isoproterenol (iso). The phenotypic dataset consisted of 27 highly heritable traits, each measured across 22 inbred mouse strains and four pharmacological conditions. The genotypic panel comprised 79922 informative SNPs of the mouse HapMap resource. Associations were mapped by Efficient Mixed Model Association (EMMA), a method that corrects for the population structure and genetic relatedness of the various strains. A total of 205 separate genome-wide scans were analyzed. The most significant hits include three candidate loci related to cardiac and body weight, three loci for electrocardiographic (ECG) values, two loci for the susceptibility of atrial weight index to iso, four loci for the susceptibility of systolic blood pressure (SBP) to perturbations of the β-adrenergic system, and one locus for the responsiveness of QTc (p<10(-8)). An additional 60 loci were suggestive for one or the other of the 27 traits, while 46 others were suggestive for one or the other drug effects (p<10(-6)). Most hits tagged unexpected regions, yet at least two loci for the susceptibility of SBP to β-adrenergic drugs pointed at members of the hypothalamic-pituitary-thyroid axis. Loci for cardiac-related traits were preferentially enriched in genes expressed in the heart, while 23% of the testable loci were replicated with datasets of the Mouse Phenome Database (MPD). Altogether these data and validation tests indicate that the mapped loci are relevant to the traits and responses studied.