364 resultados para Genetic hitchiking
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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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Genotypic frequencies at codominant marker loci in population samples convey information on mating systems. A classical way to extract this information is to measure heterozygote deficiencies (FIS) and obtain the selfing rate s from FIS = s/(2 - s), assuming inbreeding equilibrium. A major drawback is that heterozygote deficiencies are often present without selfing, owing largely to technical artefacts such as null alleles or partial dominance. We show here that, in the absence of gametic disequilibrium, the multilocus structure can be used to derive estimates of s independent of FIS and free of technical biases. Their statistical power and precision are comparable to those of FIS, although they are sensitive to certain types of gametic disequilibria, a bias shared with progeny-array methods but not FIS. We analyse four real data sets spanning a range of mating systems. In two examples, we obtain s = 0 despite positive FIS, strongly suggesting that the latter are artefactual. In the remaining examples, all estimates are consistent. All the computations have been implemented in a open-access and user-friendly software called rmes (robust multilocus estimate of selfing) available at http://ftp.cefe.cnrs.fr, and can be used on any multilocus data. Being able to extract the reliable information from imperfect data, our method opens the way to make use of the ever-growing number of published population genetic studies, in addition to the more demanding progeny-array approaches, to investigate selfing rates.
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BACKGROUND: Chronic kidney disease is associated with cardiovascular disease. We tested for evidence of a shared genetic basis to these traits. STUDY DESIGN: We conducted 2 targeted analyses. First, we examined whether known single-nucleotide polymorphisms (SNPs) underpinning kidney traits were associated with a series of vascular phenotypes. Additionally, we tested whether vascular SNPs were associated with markers of kidney damage. Significance was set to 1.5×10(-4) (0.05/325 tests). SETTING & PARTICIPANTS: Vascular outcomes were analyzed in participants from the AortaGen (20,634), CARDIoGRAM (86,995), CHARGE Eye (15,358), CHARGE IMT (31,181), ICBP (69,395), and NeuroCHARGE (12,385) consortia. Tests for kidney outcomes were conducted in up to 67,093 participants from the CKDGen consortium. PREDICTOR: We used 19 kidney SNPs and 64 vascular SNPs. OUTCOMES & MEASUREMENTS: Vascular outcomes tested were blood pressure, coronary artery disease, carotid intima-media thickness, pulse wave velocity, retinal venular caliber, and brain white matter lesions. Kidney outcomes were estimated glomerular filtration rate and albuminuria. RESULTS: In general, we found that kidney disease variants were not associated with vascular phenotypes (127 of 133 tests were nonsignificant). The one exception was rs653178 near SH2B3 (SH2B adaptor protein 3), which showed direction-consistent association with systolic (P = 9.3 ×10(-10)) and diastolic (P = 1.6 ×10(-14)) blood pressure and coronary artery disease (P = 2.2 ×10(-6)), all previously reported. Similarly, the 64 SNPs associated with vascular phenotypes were not associated with kidney phenotypes (187 of 192 tests were nonsignificant), with the exception of 2 high-correlated SNPs at the SH2B3 locus (P = 1.06 ×10(-07) and P = 7.05 ×10(-08)). LIMITATIONS: The combined effect size of the SNPs for kidney and vascular outcomes may be too low to detect shared genetic associations. CONCLUSIONS: Overall, although we confirmed one locus (SH2B3) as associated with both kidney and cardiovascular disease, our primary findings suggest that there is little overlap between kidney and cardiovascular disease risk variants in the overall population. The reciprocal risks of kidney and cardiovascular disease may not be genetically mediated, but rather a function of the disease milieu itself.
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Variation in queen number alters the genetic structure of social insect colonies, which in turn affects patterns of kin-selected conflict and cooperation. Theory suggests that shifts from single- to multiple-queen colonies are often associated with other changes in the breeding system, such as higher queen turnover, more local mating, and restricted dispersal. These changes may restrict gene flow between the two types of colonies and it has been suggested that this might ultimately lead to sympatric speciation. We performed a detailed microsatellite analysis of a large population of the ant Formica selysi, which revealed extensive variation in social structure, with 71 colonies headed by a single queen and 41 by multiple queens. This polymorphism in social structure appeared stable over time, since little change in the number of queens per colony was detected over a five-year period. Apart from queen number, single- and multiple-queen colonies had very similar breeding systems. Queen turnover was absent or very low in both types of colonies. Single- and multiple-queen colonies exhibited very small but significant levels of inbreeding, which indicates a slight deviation from random mating at a local scale and suggests that a small proportion of queens mate with related males. For both types of colonies, there was very little genetic structuring above the level of the nest, with no sign of isolation by distance. These similarities in the breeding systems were associated with a complete lack of genetic differentiation between single- and multiple-queen colonies, which provides no support for the hypothesis that change in queen number leads to restricted gene flow between social forms. Overall, this study suggests that the higher rates of queen turnover, local mating, and population structuring that are often associated with multiple-queen colonies do not appear when single- and multiple-queen colonies still coexist within the same population, but build up over time in populations consisting mostly of multiple-queen colonies.
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SUMMARY : The evolution of animal societies, where some individuals forego their own reproductive opportunities to help others to reproduce, poses an evolutionary paradox that can be traced back to Darwin. Altruism may evolve through kin selection when the donor and recipient of altruistic acts are related to each other. In social insects, workers are generally highly related to the brood they rear when colonies are headed by a single queen. Yet some ants have an extraordinary social organization, called unicoloniality, whereby individuals from separate nests mix freely to form large supercolonies, which in some cases extend over hundreds of km. These supercolonies are characterised by a high number of queens (polygyny) and an absence of clear colony boundaries. This type of social organization represents an evolutionary paradox because relatedness between nestmates is effectively zero. In such conditions, kin selection cannot account for the evolution of reproductive altruism. Moreover, unicoloniality is thought to be unstable over time, because workers that can no longer aid close relatives may evolve more selfish strategies. The Argentine ant (Linepithema humile) is a highly invasive species listed among the hundred world's worst invaders by the UICN. Native from South America, L. humile has been accidentally introduced throughout the world. Native populations have been described as noninvasive with a family-based organization. In contrast, within its introduction range, they form unicolonial supercolonies that contain numerous nests without intraspecific aggression. The development of such unicolonial populations has been explained as a direct consequence of the ant's introduction into a new habitat, favouring a transition from family-based to open colonies. To determine if the social structure of the Argentine ant is fundamentally different between the native and the introduced range, we studied genetically and behaviourally native and introduced populations of L. humile over different geographic scales. Our results clearly indicated that there are no fundamental differences in the social organisation of the Argentine ant between the two ranges. Our investigations revealed that, contrary to previous claims, native populations have a unicolonial social organisation very similar to that observed in the introduced range. Consequently, the unicolonial social structure of the Argentine ant does not stem from a shift in social organization associated with introduction into new habitats but evolved in the native range and is likely a stable, evolutionarily ancient adaptation to the local environment. Our study on native populations of L. humile also gave important insight in the comprehension of the evolution of unicoloniality in the Argentine ant. Native supercolonies are relatively small compared to introduced ones and may co-habit in a same population. These supercolonies are genetically highly differentiated leading to a significant relatedness among nestmate workers when the different supercolonies of a population are taken as a reference population. This provides the necessary conditions for loin selection to operate. Furthermore, we examined a native population over time, which revealed a high supercolony extinction rate. If more competitive supercolonies are more likely to survive or replace other supercolonies, a subtle dynamical process between the spread of selfish traits within supercolony and the selective elimination of supercolonies with such traits may allow a stable equilibrium and the persistence of unicoloniality over time. Finally, a worldwide study of the Argentine ant showed that the introduced supercolonies originate from numerous independent introduction events. In conclusion, the success of the Argentine ant does not stem from a shift in social organization associated with its introduction into new habitats, but is most probably explained by the intrinsic characteristics developed in its native range. RESUME : L'altruisme de reproduction où certains individus renoncent à leur propre reproduction pour aider d'autres individus à se reproduire constitue l'un des plus grand paradoxe de l'évolution. En effet, comment expliquer l'évolution de comportements qui tendent à augmenter les chances de survie et le succès reproductif d'autres individus, alors que ces actes diminuent l'aptitude de leurs auteurs ? La théorie de la sélection de parentèle permet de résoudre ce problème. Cette théorie stipule qu'en aidant de proches parents à se reproduire, les individus peuvent promouvoir indirectement la transmission de copies de leurs propres gènes à la génération suivante. Chez les insectes sociaux, l'altruisme des ouvrières s'explique par la théorie de sélection de parentèle lorsque les colonies sont monogynes (constituées d'une seule reine) puisque les ouvrières sont fortement apparentées aux couvains dont elles s'occupent. Par contre, les espèces dites unicoloniales, dont les colonies forment des réseaux de nids appelés supercolonies, représentent toujours un paradoxe pour les théories de l'évolution puisque l'apparentement entre les différents individus d'un nid est nulle. De plus, l'unicolonialité ne devrait pas être stable sur le long terme parce que les ouvrières qui ne s'occupent plus de leur apparentés devraient développer des stratégies plus égoïstes au cours du temps. La fourmi d'Argentine (Linepithema humile) est une espèce invasive ayant un impact considérable sur son environnement. Originaire d'Amérique du Sud, elle a été introduite dans pratiquement toutes les régions du monde dont le climat est de type méditerranéen. Son incroyable succès invasif s'explique par sa structure sociale unicoloniale observée dans chacun des pays où elle a été introduite. Par contre, les rares études effectuées en Argentine ont suggéré que la fourmi d'Argentine n'était pas unicoloniale dans son aire native. L'unicolonialité chez la fourmi d'Argentine était donc considéré comme une conséquence de son introduction dans de nouveaux environnements. Durant cette thèse, nous avons vérifié si la structure sociale de cette espèce différait fondamentalement entre l'aire native et introduite. Pour cela, nous avons étudié, à différentes échelles géographiques, des populations introduites et argentines avec une approche génétique et comportementale. L'ensemble de nos résultats montrent que les différences entre les deux structure sociales ne sont pas aussi importantes que ce que l'on imaginait. Les populations natives sont aussi constituées de réseaux de nids coopérants. La taille de ses supercolonies est toutefois bien moins importante en Argentine et il n'est pas rare de trouver plusieurs supercolonies cohabitantes dans une même population. Nous avons démontré que ces réseaux de nids étaient constitués d'individus qui sont plus apparentés entre eux qu'ils ne le sont avec les individus d'autres supercolonies, ainsi l'unicolonialité dans son aire d'origine ne représente pas un réel paradoxe pour les théories de l'évolution. Finalement nous avons étudié la même population en Argentine à six ans d'intervalle et avons constaté que les supercolonies avaient un taux de survie très faible ce qui pourrait expliquer la stabilité de l'unicolonialité au cours du temps. Si les supercolonies les plus compétitives survivent mieux que les supercolonies dans lesquelles apparaissent des traits égoïstes, on devrait alors observer une dynamique entre l'apparition de traits égoïstes et l'élimination des supercolonies dans lesquelles ces traits égoïstes évolueraient. Finalement, une étude mondiale nous a montré que les supercolonies étaient originaires de nombreux événements d'introductions indépendants. En conclusion, le succès invasif de la fourmi d'Argentine n'est donc pas dû à un changement de comportement associé à son introduction mais est lié aux caractéristiques qu'elle a développées en Argentine.
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Autopsy-negative sudden cardiac deaths (SCD) seen in forensic practice are most often thought to be the result of sudden arrhythmic death syndrome. Postmortem genetic analysis is recommended in such cases, but is currently performed in only a few academic centers. In order to determine actual current practice, an on-line questionnaire was sent by e-mail to members of various forensic medical associations. The questions addressed routine procedures employed in cases of sudden cardiac death (autopsy ordering, macroscopic and microscopic cardiac examination, conduction tissue examination, immunohistochemistry and electron microscopy, biochemical markers, sampling and storage of material for genetic analyses, toxicological analyses, and molecular autopsy). Some questions concerned the legal and ethical aspects of genetic analyses in postmortem examinations, as well as any existing multidisciplinary collaborations in SCD cases. There were 97 respondents, mostly from European countries. Genetic testing in cases of sudden cardiac death is rarely practiced in routine forensic investigation. Approximately 60% of respondents reported not having the means to perform genetic postmortem testing and 40% do not collect adequate material to perform these investigations at a later date, despite working at university hospitals. The survey demonstrated that many of the problems involved in the adequate investigation of SCD cases are often financial in origin, due to the fact that activities in forensic medicine are often paid by and dependent on the judicial authorities. Problems also exist concerning the contact with family members and/or the family doctor, as well as the often-nonexistent collaboration with others clinicians with special expertise beneficial in the investigation of SCD cases, such as cardiologists and geneticists. This study highlights the importance in establishing guidelines for molecular autopsies in forensic medicine.
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Some ants have an extraordinary form of social organization, called unicoloniality, whereby individuals mix freely among physically separated nests. This mode of social organization has been primarily studied in introduced and invasive ant species, so that the recognition ability and genetic structure of ants forming unicolonial populations in their native range remain poorly known. We investigated the pattern of aggression and the genetic structure of six unicolonial populations of the ant Formica paralugubris at four hierarchical levels: within nests, among nests within the same population, among nests of populations within the Alps or Jura Mountains and among nests of the two mountain ranges. Ants within populations showed no aggressive behaviour, but recognized nonnestmates as shown by longer antennation bouts. Overall, the level of aggression increased with geographic and genetic distance but was always considerably lower than between species. No distinct behavioural supercolony boundaries were found. Our study provides evidence that unicoloniality can be maintained in noninvasive ants despite significant genetic differentiation and the ability to discriminate between nestmates and nonnestmates.
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The Lesser Gymnure is a small galericine Insectivore living in the mainland forests of Southeast Asia, including the major islands of Sumatra, Java and Borneo. It is the only representative of the supposed monospecific genus Hylomys which is morphologically rather constant over its geographic range. Only marginal subspecific differentiation is currently recognized based in slight pelage colour variations. We report here the results of 35 gene loci revealed by protein electrophoresis on 23 specimens sampled over most of Southeast Asia. They were compared with outgroup, Erinaceaus europeaus, member of a distinct subfamily. The surveyed populations of Lesser Gymnures clearly group themselves into distinct taxa, one of which seems restricted to Sumatra, while the other occupies the whole geographic range. The genetic distance between these groups is two times greater than the divergence observed within groups: it is of the same order of magnitude as what is usually reported for congeneric mammal species, which supports their specific distinction. The lack of gene flow is also demonstrated by several diagnostic loci defining unambiguously each species. Both are only distantly related to the outgroup, a result which is consistant with their actual classification into two distinct subfamilies (Erinaceae and Galericinae). Concordant genetic and geographic subdivision of the widespread species further suggest that eustatic sea level changes during the Pleistocene produced predictable patterns in species differentiation.
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The semi-structured diagnostic interview for genetic studies (DIGS) was developed to assess major mood and psychotic disorders and their spectrum manifestations in genetic studies. Our research group developed a French version of the DIGS and tested its inter-rater and test-retest reliability in psychiatric patients. In this article, we present estimates of the reliability of substance use and antisocial personality disorders. High kappa coefficients for inter-rater reliability were found for drug and alcohol as well as antisocial personality diagnoses and slightly lower kappas for test-retest reliability. Combined with evidence of the reliability of major mood and psychotic disorders, these findings support the suitability of the DIGS for studies of familial aggregation and comorbidity of psychiatric disorders including substance use and antisocial personality disorders.
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Genetic variants influence the risk to develop certain diseases or give rise to differences in drug response. Recent progresses in cost-effective, high-throughput genome-wide techniques, such as microarrays measuring Single Nucleotide Polymorphisms (SNPs), have facilitated genotyping of large clinical and population cohorts. Combining the massive genotypic data with measurements of phenotypic traits allows for the determination of genetic differences that explain, at least in part, the phenotypic variations within a population. So far, models combining the most significant variants can only explain a small fraction of the variance, indicating the limitations of current models. In particular, researchers have only begun to address the possibility of interactions between genotypes and the environment. Elucidating the contributions of such interactions is a difficult task because of the large number of genetic as well as possible environmental factors.In this thesis, I worked on several projects within this context. My first and main project was the identification of possible SNP-environment interactions, where the phenotypes were serum lipid levels of patients from the Swiss HIV Cohort Study (SHCS) treated with antiretroviral therapy. Here the genotypes consisted of a limited set of SNPs in candidate genes relevant for lipid transport and metabolism. The environmental variables were the specific combinations of drugs given to each patient over the treatment period. My work explored bioinformatic and statistical approaches to relate patients' lipid responses to these SNPs, drugs and, importantly, their interactions. The goal of this project was to improve our understanding and to explore the possibility of predicting dyslipidemia, a well-known adverse drug reaction of antiretroviral therapy. Specifically, I quantified how much of the variance in lipid profiles could be explained by the host genetic variants, the administered drugs and SNP-drug interactions and assessed the predictive power of these features on lipid responses. Using cross-validation stratified by patients, we could not validate our hypothesis that models that select a subset of SNP-drug interactions in a principled way have better predictive power than the control models using "random" subsets. Nevertheless, all models tested containing SNP and/or drug terms, exhibited significant predictive power (as compared to a random predictor) and explained a sizable proportion of variance, in the patient stratified cross-validation context. Importantly, the model containing stepwise selected SNP terms showed higher capacity to predict triglyceride levels than a model containing randomly selected SNPs. Dyslipidemia is a complex trait for which many factors remain to be discovered, thus missing from the data, and possibly explaining the limitations of our analysis. In particular, the interactions of drugs with SNPs selected from the set of candidate genes likely have small effect sizes which we were unable to detect in a sample of the present size (<800 patients).In the second part of my thesis, I performed genome-wide association studies within the Cohorte Lausannoise (CoLaus). I have been involved in several international projects to identify SNPs that are associated with various traits, such as serum calcium, body mass index, two-hour glucose levels, as well as metabolic syndrome and its components. These phenotypes are all related to major human health issues, such as cardiovascular disease. I applied statistical methods to detect new variants associated with these phenotypes, contributing to the identification of new genetic loci that may lead to new insights into the genetic basis of these traits. This kind of research will lead to a better understanding of the mechanisms underlying these pathologies, a better evaluation of disease risk, the identification of new therapeutic leads and may ultimately lead to the realization of "personalized" medicine.
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Comparative analyses of spatial genetic structure of populations of plants and the insects they interact with provide an indication of how gene flow, natural selection and genetic drift may jointly influence the distribution of genetic variation and potential for local co-adaptation for interacting species. Here, we analysed the spatial scale of genetic structure within and among nine populations of an interacting species pair, the white campion Silene latifolia and the moth Hadena bicruris, along a latitudinal gradient across Northern/Central Europe. This dioecious, short-lived perennial plant inhabits patchy, often disturbed environments. The moth H. bicruris acts both as its pollinator and specialist seed predator that reproduces by laying eggs in S. latifolia flowers. We used nine microsatellite markers for S. latifolia and eight newly developed markers for H. bicruris. We found high levels of inbreeding in most populations of both plant and pollinator/seed predator. Among populations, significant genetic structure was observed for S. latifolia but not for its pollinator/seed predator, suggesting that despite migration among populations of H. bicruris, pollen is not, or only rarely, carried over between populations, thus maintaining genetic structure among plant populations. There was a weak positive correlation between genetic distances of S. latifolia and H. bicruris. These results indicate that while significant structure of S. latifolia populations creates the potential for differentiation at traits relevant for the interaction with the pollinator/seed predator, substantial gene flow in H. bicruris may counteract this process in at least some populations.