962 resultados para Genome wide mapping
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ABSTRACT Upregulation of the Major Facilitator transporter gene MDR1 (Multi_drug Resistance 1) is one of the mechanisms observed in Candida albicans clinical isolates developing resistance to azole antifungal agents. To better understand this phenomenon, the cis-acting regulatory elements present in a modulatable reporter system under the control of the MDR1 promoter were characterized. In an azole-susceptible strain, transcription of this reporter is transiently upregulated in response to either benomyl or H2O2, whereas its expression is constitutively high in an azole-resistant strain (FR2). Two cis-acting regulatory elements, that are necessary and sufficient to convey the same transcriptional responses to a heterologous promoter (CDR2), were identified within the MDR1promoter. The first element, called BRE (for Benomyl Response Element, -296 to -260 with respect to the ATG start codon), is required for benomyl-dependent MDR1 upregulation and for constitutive high expression of MDR1 in FR2. The second element, termed HRE (for H2O2 Response Element, -561 to -520), is required for H2O2-dependent MDR1 upregulation, but is dispensable for constitutive high expression. Two potential binding sites (TTAG/CTAA) for the blip transcription factor Cap1p lie within the HRE. Moreover, inactivation of CAP1 abolished the transient response to H2O2 and diminished significantly the transient response to benomyl. Cap1p, which has been previously implicated in cellular responses to oxidative stress, may thus play a transacting and positive regulatory role in benomyl- and H2O2-dependent transcription of MDR1. However, it is not the only transcription factor involved in the response of MDR1 to benomyl. A minimal BRE element (-290 to -273) that is sufficient to detect in vitro sequence-specific binding of protein complexes in crude extracts prepared from C. albicans was also delimited. Genome-wide transcript profiling analyses undertaken with a matched pair of clinical isolates, one of which being azole-resistant and upregulating MDR1, and with an azole-susceptible strain exposed to benomyl, revealed that genes specifically upregulated by benomyl harbour in their promoters Cap1p binding site(s). This strengthened the idea that Cap1p plays a role in benomyl-dependent upregulation of MDR1. BRE-like sequences were also identified in several genes co-regulated with MDR1 in both conditions, which was consistent with the involvement of the BRE in both processes. A set of 147 mutants lacking a single transcription factor gene was next screened for loss of MDR1response to benomyl. Unfortunately, none of the tested mutants showed a loss of benomyl-dependent MDR1 upregulation. Nevertheless, a significant diminution of the response was observed in the mutants in which the MADS-box transcription factor Mcm1p and the C2H2 zinc finger transcription factor orf19.13374p were inactivated, suggesting that Mcm1p and orf19.13374p are involved in MDR1response to benomyl. Interestingly, the BRE contains a perfect match to the binding consensus of Mcm1p, raising the possibility that MDR1may be a direct target of this transcriptional activator. In conclusion, while the identity of the trans-acting factors that bind to the BRE and HRE remains to be confirmed, the tools we have developed during characterization of the cis-acting elements of the MDR1promoter should now serve to elucidate the nature of the components that modulate its activity. RESUME La surexpression du gène MDR1 (pour Résistance Multidrogue 1), qui code pour un transporteur de la famille des Major Facilitators, est l'un des mécanismes observés dans les isolats cliniques de la levure Candida albicans développant une résistance aux agents antifongiques appelés azoles. Pour mieux comprendre ce phénomène, les éléments de régulation agissant en cis dans un système rapporteur modulable sous le contrôle du promoteur MDR1 ont été caractérisés. Dans une souche sensible aux azoles, la transcription de ce rapporteur est transitoirement surélevée en réponse soit au bénomyl soit à l'agent oxydant H2O2, alors que son expression est constitutivement élevée dans une souche résistante aux azoles (souche FR2). Deux éléments de régulation agissant en cis, nécessaires et suffisants pour transmettre les mêmes réponses transcriptionnelles à un promoteur hétérologue (CDR2), ont été identifiés dans le promoteur MDR1. Le premier élément, appelé BRE (pour Elément de Réponse au Bénomyl, de -296 à -260 par rapport au codon d'initiation ATG) est requis pour la surexpression de MDR1dépendante du bénomyl et pour l'expression constitutive de MDR1 dans FR2. Le deuxième élément, appelé HRE (pour Elément de Réponse à l'H2O2, de -561 à -520), est requis pour la surexpression de MDR1 dépendante de l'H2O2, mais n'est pas impliqué dans l'expression constitutive du gène MDR1. Deux sites de fixation potentiels (TTAG/CTAA) pour le facteur de transcription Cap1p ont été identifiés dans l'élément HRE. De plus, l'inactivation de CAP1 abolit la réponse transitoire à l'H2O2 et diminua significativement la réponse transitoire au bénomyl. Cap1p, qui est impliqué dans les réponses de la cellule au stress oxydatif, doit donc jouer un rôle positif en trans dans la surexpression de MDR1 dépendante du bénomyl et de l'H2O2. Cependant, ce n'est pas le seul facteur de transcription impliqué dans la réponse au bénomyl. Un élément BRE d'une longueur minimale (de -290 à -273) a également été défini et est suffisant pour détecter une interaction spécifique in vitro avec des protéines provenant d'extraits bruts de C. albicans. L'analyse du profil de transcription d'une paire d'isolats cliniques comprenant une souche résistante aux azoles surexprimant MDR1, et d'une souche sensible aux azoles exposée au bénomyl, a révélé que les gènes spécifiquement surexprimés par le bénomyl contiennent dans leurs promoteurs un ou plusieurs sites de fixation pour Cap1p. Ceci renforce l'idée que Cap1p joue un rôle dans la surexpression de MDR1dépendante du bénomyl. Une ou deux séquences ressemblant à l'élément BRE ont également été identifiées dans la plupart des gènes corégulés avec MDR1 dans ces deux conditions, ce qui était attendu compte-tenu du rôle joué par cet élément dans les deux processus. Une collection de 147 mutants dans lesquels un seul facteur de transcription est inactivé a été testée pour la perte de réponse au bénomyl de MDR1. Malheureusement, la surexpression de MDR1 dépendante du bénomyl n'a été perdue dans aucun des mutants testés. Néanmoins, une diminution significative de la réponse a été observée chez des mutants dans lesquels le facteur de transcription à MADS-box Mcm1p et le facteur de transcription à doigts de zinc de type C2H2 orf19.13374p ont été inactivés, suggérant que Mcm1p et orf19.13374p sont impliqués dans la réponse de MDR1au bénomyl. Il est intéressant de noter que la BRE contient une séquence qui s'aligne parfaitement avec la séquence consensus du site de fixation de Mcm1p, ce qui soulève la possibilité que MDR1 pourrait être une cible directe de cet activateur transcriptionnel. En conclusion, alors que l'identité des facteurs agissant en trans en se fixant à la BRE et à la HRE reste à être confirmée, les outils que nous avons développés au cours de la caractérisation des éléments agissant en cis sur le promoteur MDR1 peut maintenant servir à élucider la nature des composants modulant son activité.
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Identification of genetic risk factors for albuminuria may alter strategies for early prevention of CKD progression, particularly among patients with diabetes. Little is known about the influence of common genetic variants on albuminuria in both general and diabetic populations. We performed a meta-analysis of data from 63,153 individuals of European ancestry with genotype information from genome-wide association studies (CKDGen Consortium) and from a large candidate gene study (CARe Consortium) to identify susceptibility loci for the quantitative trait urinary albumin-to-creatinine ratio (UACR) and the clinical diagnosis microalbuminuria. We identified an association between a missense variant (I2984V) in the CUBN gene, which encodes cubilin, and both UACR (P = 1.1 × 10(-11)) and microalbuminuria (P = 0.001). We observed similar associations among 6981 African Americans in the CARe Consortium. The associations between this variant and both UACR and microalbuminuria were significant in individuals of European ancestry regardless of diabetes status. Finally, this variant associated with a 41% increased risk for the development of persistent microalbuminuria during 20 years of follow-up among 1304 participants with type 1 diabetes in the prospective DCCT/EDIC Study. In summary, we identified a missense CUBN variant that associates with levels of albuminuria in both the general population and in individuals with diabetes.
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AIMS/HYPOTHESIS: Epidemiological and experimental evidence suggests that uric acid has a role in the aetiology of type 2 diabetes. Using a Mendelian randomisation approach, we investigated whether there is evidence for a causal role of serum uric acid for development of type 2 diabetes. METHODS: We examined the associations of serum-uric-acid-raising alleles of eight common variants recently identified in genome-wide association studies and summarised this in a genetic score with type 2 diabetes in case-control studies including 7,504 diabetes patients and 8,560 non-diabetic controls. We compared the observed effect size to that expected based on: (1) the association between the genetic score and uric acid levels in non-diabetic controls; and (2) the meta-analysed uric acid level to diabetes association. RESULTS: The genetic score showed a linear association with uric acid levels, with a difference of 12.2 μmol/l (95% CI 9.3, 15.1) by score tertile. No significant associations were observed between the genetic score and potential confounders. No association was observed between the genetic score and type 2 diabetes with an OR of 0.99 (95% CI 0.94, 1.04) per score tertile, significantly different (p = 0.046) from that expected (1.04 [95% CI 1.03, 1.05]) based on the observed uric acid difference by score tertile and the uric acid to diabetes association of 1.21 (95% CI 1.14, 1.29) per 60 μmol/l. CONCLUSIONS/INTERPRETATION: Our results do not support a causal role of serum uric acid for the development of type 2 diabetes and limit the expectation that uric-acid-lowering drugs will be effective in the prevention of type 2 diabetes.
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Hypertension is a common heritable cardiovascular risk factor. Some rare monogenic forms of hypertension have been described, but the majority of patients suffer from essential hypertension, for whom the underlying genetic mechanisms are not clear. Essential hypertension is a complex trait, involving multiple genes and environmental factors. Recently, progress in the identification of common genetic variants associated with essential hypertension has been made due to large-scale international collaborative projects. In this article we review the new research methods used as well as selected recent findings in this field.
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Recent progresses in genetics have opened new avenues to further our understanding of the pathophysiological mechanisms underlying cardiovascular disease, raising, new expectations in the field of personalized medicine. Genetic tests may have a high predictive value for rare monogenic diseases. The situation is very different for common polygenic diseases, such as myocardial infarction, type 2 diabetes or stroke. The results from recent genome-wide association studies have provided useful information for research, but have not yet been proven to be clinically useful. It is therefore currently not recommended to conducted genetic testing to guide cardiovascular prevention neither in clinical nor in public health settings.
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Approximately 3% of the world population is chronically infected with the hepatitis C virus (HCV), with potential development of cirrhosis and hepatocellular carcinoma. Despite the availability of new antiviral agents, treatment remains suboptimal. Genome-wide association studies (GWAS) identified rs12979860, a polymorphism nearby IL28B, as an important predictor of HCV clearance. We report the identification of a novel TT/-G polymorphism in the CpG region upstream of IL28B, which is a better predictor of HCV clearance than rs12979860. By using peripheral blood mononuclear cells (PBMCs) from individuals carrying different allelic combinations of the TT/-G and rs12979860 polymorphisms, we show that induction of IL28B and IFN-γ-inducible protein 10 (IP-10) mRNA relies on TT/-G, but not rs12979860, making TT/-G the only functional variant identified so far. This novel step in understanding the genetic regulation of IL28B may have important implications for clinical practice, as the use of TT/G genotyping instead of rs12979860 would improve patient management.
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Nuclear receptors are a major component of signal transduction in animals. They mediate the regulatory activities of many hormones, nutrients and metabolites on the homeostasis and physiology of cells and tissues. It is of high interest to model the corresponding regulatory networks. While molecular and cell biology studies of individual promoters have provided important mechanistic insight, a more complex picture is emerging from genome-wide studies. The regulatory circuitry of nuclear receptor regulated gene expression networks, and their response to cellular signaling, appear highly dynamic, and involve long as well as short range chromatin interactions. We review how progress in understanding the kinetics and regulation of cofactor recruitment, and the development of new genomic methods, provide opportunities but also a major challenge for modeling nuclear receptor mediated regulatory networks.
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We previously used a single nucleotide polymorphism (SNP) in the CHRNA5-A3-B4 gene cluster associated with heaviness of smoking within smokers to confirm the causal effect of smoking in reducing body mass index (BMI) in a Mendelian randomisation analysis. While seeking to extend these findings in a larger sample we found that this SNP is associated with 0.74% lower body mass index (BMI) per minor allele in current smokers (95% CI -0.97 to -0.51, P = 2.00 × 10(-10)), but also unexpectedly found that it was associated with 0.35% higher BMI in never smokers (95% CI +0.18 to +0.52, P = 6.38 × 10(-5)). An interaction test confirmed that these estimates differed from each other (P = 4.95 × 10(-13)). This difference in effects suggests the variant influences BMI both via pathways unrelated to smoking, and via the weight-reducing effects of smoking. It would therefore be essentially undetectable in an unstratified genome-wide association study of BMI, given the opposite association with BMI in never and current smokers. This demonstrates that novel associations may be obscured by hidden population sub-structure. Stratification on well-characterized environmental factors known to impact on health outcomes may therefore reveal novel genetic associations.
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The pathogenesis of androgenetic alopecia (AGA, male-pattern baldness) is driven by androgens, and genetic predisposition is the major prerequisite. Candidate gene and genome-wide association studies have reported that single-nucleotide polymorphisms (SNPs) at eight different genomic loci are associated with AGA development. However, a significant fraction of the overall heritable risk still awaits identification. Furthermore, the understanding of the pathophysiology of AGA is incomplete, and each newly associated locus may provide novel insights into contributing biological pathways. The aim of this study was to identify unknown AGA risk loci by replicating SNPs at the 12 genomic loci that showed suggestive association (5 × 10(-8)<P<10(-5)) with AGA in a recent meta-analysis. We analyzed a replication set comprising 2,759 cases and 2,661 controls of European descent to confirm the association with AGA at these loci. Combined analysis of the replication and the meta-analysis data identified four genome-wide significant risk loci for AGA on chromosomes 2q35, 3q25.1, 5q33.3, and 12p12.1. The strongest association signal was obtained for rs7349332 (P=3.55 × 10(-15)) on chr2q35, which is located intronically in WNT10A. Expression studies in human hair follicle tissue suggest that WNT10A has a functional role in AGA etiology. Thus, our study provides genetic evidence supporting an involvement of WNT signaling in AGA development.
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Elevated serum ferritin levels may reflect a systemic inflammatory state as well as increased iron storage, both of which may contribute to an unfavorable outcome of chronic hepatitis C (CHC). We therefore performed a comprehensive analysis of the role of serum ferritin and its genetic determinants in the pathogenesis and treatment of CHC. To this end, serum ferritin levels at baseline of therapy with pegylated interferon-alpha and ribavirin or before biopsy were correlated with clinical and histological features of chronic hepatitis C virus (HCV) infection, including necroinflammatory activity (N = 970), fibrosis (N = 980), steatosis (N = 886), and response to treatment (N = 876). The association between high serum ferritin levels (> median) and the endpoints was assessed by logistic regression. Moreover, a candidate gene as well as a genome-wide association study of serum ferritin were performed. We found that serum ferritin ≥ the sex-specific median was one of the strongest pretreatment predictors of treatment failure (univariate P < 0.0001, odds ratio [OR] = 0.45, 95% confidence interval [CI] = 0.34-0.60). This association remained highly significant in a multivariate analysis (P = 0.0002, OR = 0.35, 95% CI = 0.20-0.61), with an OR comparable to that of interleukin (IL)28B genotype. When patients with the unfavorable IL28B genotypes were stratified according to high versus low ferritin levels, SVR rates differed by > 30% in both HCV genotype 1- and genotype 3-infected patients (P < 0.001). Serum ferritin levels were also independently associated with severe liver fibrosis (P < 0.0001, OR = 2.67, 95% CI = 1.68-4.25) and steatosis (P = 0.002, OR = 2.29, 95% CI = 1.35-3.91), but not with necroinflammatory activity (P = 0.3). Genetic variations had only a limited impact on serum ferritin levels. Conclusion: In patients with CHC, elevated serum ferritin levels are independently associated with advanced liver fibrosis, hepatic steatosis, and poor response to interferon-alpha-based therapy.
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Genome-wide scans of genetic differentiation between hybridizing taxa can identify genome regions with unusual rates of introgression. Regions of high differentiation might represent barriers to gene flow, while regions of low differentiation might indicate adaptive introgression-the spread of selectively beneficial alleles between reproductively isolated genetic backgrounds. Here we conduct a scan for unusual patterns of differentiation in a mosaic hybrid zone between two mussel species, Mytilus edulis and M. galloprovincialis. One outlying locus, mac-1, showed a characteristic footprint of local introgression, with abnormally high frequency of edulis-derived alleles in a patch of M. galloprovincialis enclosed within the mosaic zone, but low frequencies outside of the zone. Further analysis of DNA sequences showed that almost all of the edulis allelic diversity had introgressed into the M. galloprovincialis background in this patch. We then used a variety of approaches to test the hypothesis that there had been adaptive introgression at mac-1. Simulations and model fitting with maximum-likelihood and approximate Bayesian computation approaches suggested that adaptive introgression could generate a "soft sweep," which was qualitatively consistent with our data. Although the migration rate required was high, it was compatible with the functioning of an effective barrier to gene flow as revealed by demographic inferences. As such, adaptive introgression could explain both the reduced intraspecific differentiation around mac-1 and the high diversity of introgressed alleles, although a localized change in barrier strength may also be invoked. Together, our results emphasize the need to account for the complex history of secondary contacts in interpreting outlier loci.
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.
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Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
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The obesity epidemic is associated with the recent availability of highly palatable and inexpensive caloric food as well as important changes in lifestyle. Genetic factors, however, play a key role in regulating energy balance and numerous twin studies have estimated the BMI heritability between 40 and 70%. While common variants, identified through genome-wide association studies (GWAS) point toward new pathways, their effect size are too low to be of any use in the clinic. This review therefore concentrates on genes and genomic regions associated with very high risks of human obesity. Although there are no consensus guidelines, we review how the knowledge on these "causal factors" can be translated into the clinic for diagnostic purposes. We propose genetic workups guided by clinical manifestations in patients with severe early-onset obesity. While etiological diagnoses are unequivocal in a minority of patients, new genomic tools such as Comparative Genomic Hybridization (CGH) array, have allowed the identification of novel "causal" loci and next-generation sequencing brings the promise of accelerated pace for discoveries relevant to clinical practice.
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Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying "causal" rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented challenges in the meta-analysis. First, different studies may adopt different gene-level tests, so the results are not compatible. Second, gene-level tests require multivariate statistics (i.e., components of the test statistic and their covariance matrix), which are difficult to obtain. To overcome these challenges, we propose to perform gene-level tests for rare variants by combining the results of single-variant analysis (i.e., p values of association tests and effect estimates) from participating studies. This simple strategy is possible because of an insight that multivariate statistics can be recovered from single-variant statistics, together with the correlation matrix of the single-variant test statistics, which can be estimated from one of the participating studies or from a publicly available database. We show both theoretically and numerically that the proposed meta-analysis approach provides accurate control of the type I error and is as powerful as joint analysis of individual participant data. This approach accommodates any disease phenotype and any study design and produces all commonly used gene-level tests. An application to the GWAS summary results of the Genetic Investigation of ANthropometric Traits (GIANT) consortium reveals rare and low-frequency variants associated with human height. The relevant software is freely available.
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Mutations in LACERATA (LCR), FIDDLEHEAD (FDH), and BODYGUARD (BDG) cause a complex developmental syndrome that is consistent with an important role for these Arabidopsis genes in cuticle biogenesis. The genesis of their pleiotropic phenotypes is, however, poorly understood. We provide evidence that neither distorted depositions of cutin, nor deficiencies in the chemical composition of cuticular lipids, account for these features, instead suggesting that the mutants alleviate the functional disorder of the cuticle by reinforcing their defenses. To better understand how plants adapt to these mutations, we performed a genome-wide gene expression analysis. We found that apparent compensatory transcriptional responses in these mutants involve the induction of wax, cutin, cell wall, and defense genes. To gain greater insight into the mechanism by which cuticular mutations trigger this response in the plants, we performed an overlap meta-analysis, which is termed MASTA (MicroArray overlap Search Tool and Analysis), of differentially expressed genes. This suggested that different cell integrity pathways are recruited in cesA cellulose synthase and cuticular mutants. Using MASTA for an in silico suppressor/enhancer screen, we identified SERRATE (SE), which encodes a protein of RNA-processing multi-protein complexes, as a likely enhancer. In confirmation of this notion, the se lcr and se bdg double mutants eradicate severe leaf deformations as well as the organ fusions that are typical of lcr and bdg and other cuticular mutants. Also, lcr does not confer resistance to Botrytis cinerea in a se mutant background. We propose that there is a role for SERRATE-mediated RNA signaling in the cuticle integrity pathway.