A comparison of Bayesian and frequentist approaches to incorporating external information for the prediction of prostate cancer risk.

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.

Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts.

Major depressive disorder (MDD) is a highly prevalent disorder with substantial heritability. Heritability has been shown to be substantial and higher in the variant of MDD characterized by recurrent episodes of depression. Genetic studies have thus far failed to identify clear and consistent evidence of genetic risk factors for MDD. We conducted a genome-wide association study (GWAS) in two independent datasets. The first GWAS was performed on 1022 recurrent MDD patients and 1000 controls genotyped on the Illumina 550 platform. The second was conducted on 492 recurrent MDD patients and 1052 controls selected from a population-based collection, genotyped on the Affymetrix 5.0 platform. Neither GWAS identified any SNP that achieved GWAS significance. We obtained imputed genotypes at the Illumina loci for the individuals genotyped on the Affymetrix platform, and performed a meta-analysis of the two GWASs for this common set of approximately half a million SNPs. The meta-analysis did not yield genome-wide significant results either. The results from our study suggest that SNPs with substantial odds ratio are unlikely to exist for MDD, at least in our datasets and among the relatively common SNPs genotyped or tagged by the half-million-loci arrays. Meta-analysis of larger datasets is warranted to identify SNPs with smaller effects or with rarer allele frequencies that contribute to the risk of MDD.

Regulation of mass and function of pancreatic β-cells: identification of anti-apoptotic peptides and role of GLP-1

Résumé La masse de cellules β sécrétrices d'insuline est un tissu dynamique qui s'adapte aux variations de la demande métabolique pour assurer une normoglycémie. Cette adaptation se fait par un changement de sécrétion d'insuline et de la masse totale des cellules β. Une perte complète ou partielle des cellules β conduit respectivement à un diabète de type 1 et de type 2. Les mécanismes qui régulent la masse de cellules β et maintiennent leur phénotype differencié sont encore peu connus. Leur identification est nécessaire pour comprendre le développement du diabète et développer des stratégies de traitement. La greffe d'îlots est une approche thérapeutique prometteuse pour le diabète de type 1, mais est limitée par une perte précoce des cellules β due à une apoptose induite par des cytokines. Afin d'améliorer la survie des cellules β lors de la greffe d'îlots, le premier but était de trouver des peptides pouvant bloquer l'apoptose induite par FasL et TNF-α. Pour ce faire, deux librairies de phages ont été criblées pour sélectionner des peptides se liant au Fas DD ou au TNFRl DD. Nous avons identifié six peptides différents. Cependant, aucun d'entre eux n'était capable de protéger les cellules de l'apoptose induite par FasL ou TNF-α. Deuxièmement, le GLP-1 est une hormone qui stimule la sécrétion d'insuline, et est impliquée dans la prolifération des cellules β, la différentiation, et inhibe l'apoptose. Nous avons fait l'hypothèse que le GLP-1 joue un rôle crucial dans le contrôle de la masse et de la fonction des cellules β. Afin de l'évaluer, une analyse par puce à ADN a été réalisée en comparant des cellules βTC-Tet traitées avec du GLP-1 à des cellules non-traitées. 376 gènes régulés ont été identifiés, dont RGS2, CREM, ICERI et DUSP14, augmentés significativement par le GLP-1. Nous avons confirmé que le GLP-1 augmente l'expression de ces gènes, aussi bien au niveau des transcripts que des protéines. De plus, nous avons montré que le GLP-1 induit leur expression par activation de la voie cAMP/PKA, et nécessite l'entrée de calcium extracellulaire. D'après leur fonction biologique, nous avons ensuite supposé que ces gènes pourraient agir comme régulateurs négatifs de la signalisation du GLP-l, et donc freiner son effet proliférateur. Pour vérifier notre hypothèse, des siRNAs contre ces gènes ont été développés, et leurs effets sur la prolifération des cellules β seront évalués ultérieurement. Abstract The pancreatic β-cell mass is a dynamic tissue which adapts to variations in metabolic demand in order to ensure normoglycemia. This adaptation occurs through a change in both insulin secretion and the total mass of ,β-cells. An absolute or relative loss of β-cells leads to type 1 and type 2 diabetes, respectively. The mechanisms that regulate the pancreatic β-cell mass and maintain the fully differentiated phenotype of the insulin-secreting β-cells are only poorly defined. Their identification is required to understand the progression of diabetes, but also to design strategies for the treatment of diabetes. Islet transplantation is a promising therapeutic approach for type 1 diabetes, but it is still limited by an early graft loss due to cytokine-induced apoptosis. In order to improve β-cell survival during islet transplantation, our first goal was to find novel blockers of FasL- and TNF-α-mediated cell death in the form of peptides. To that end, we screened two phage display libraries to select Fas DD- or TNFR1 DD-binding peptides. We identified six different small peptides. However, none of these peptides was able to prevent cells from FasL- or TNF-α-mediated apoptosis. Secondly, GLP-1 is a hormone that has been shown to stimulate insulin secretion and to be involved in β-cell proliferation, differentiation and inhibition of apoptosis. We hypothesized that GLP-1 plays a crucial role to control mass and function of β-cells. To evaluate this hypothesis, we performed a cDNA microarray analysis with GLP-1-treated βTC-Tet cells compared to untreated cells. We found 376 regulated genes, among these, RGS2, CREM, ICERI and DUSP14, which were significantly upregulated by GLP-1. We confirmed that both their mRNA and protein levels were strongly and rapidly increased after GLP-1 treatment. Moreover, we found that GLP-1 activates their expression mainly through the activation of the cAMP/PKA signaling pathway, and requires extracellular calcium entry. According to their biological function, we then hypothesized that these genes might act as negative regulators of the GLP-1 signaling. In particular, they might brake the effects of GLP-1 on β-cell proliferation. To verify this hypothesis, siRNAs against these genes were developed. The effect of these siRNAs on GLP-1-induced β-cell proliferation will be evaluated later.

ADME pharmacogenetics: investigation of the pharmacokinetics of the antiretroviral agent lopinavir coformulated with ritonavir.

BACKGROUND: An ADME (absorption, distribution, metabolism and excretion)-pharmacogenetics association study may identify functional variants relevant to the pharmacokinetics of lopinavir co-formulated with ritonavir (LPV/r), a first-line anti-HIV agent. METHODS: An extensive search of literature and web resources helped select ADME genes and single nucleotide polymorphisms (SNPs, functional and HapMap tagging SNPs) with a proven or potentially relevant role in LPV/r pharmacokinetics. The study followed a two-stage design. Stage 1 (discovery) considered a Caucasian population (n=638) receiving LPV/r, where we selected 117 individuals with low LPV clearance (cases) and 90 individuals with high clearance (controls). Genotyping was performed by a 1536-SNP customized GoldenGate Illumina BeadArray. Stage 2 (confirmation) represented a replication study of candidate SNPs from the stage 1 in 148 individuals receiving LPV/r. The analysis led to formal population pharmacokinetic-pharmacogenetic modeling of demographic, environmental and candidate SNP effects. RESULTS: One thousand three hundred and eighty SNPs were successfully genotyped. Nine SNPs prioritized by the stage 1 analysis were brought to replication. Stage 2 confirmed the contribution of two functional SNPs in SLCO1B1, one functional SNP in ABCC2 and a tag SNP of the CYP3A locus in addition to body weight effect and ritonavir coadministration. According to the population pharmacokinetic-pharmacogenetic model, genetic variants explained 5% of LPV variability. Individuals homozygous rs11045819 (SLCO1B1*4) had a clearance of 12.6 l/h, compared with 5.4 l/h in the reference group, and 3.9 l/h in individuals with two or more variant alleles of rs4149056 (SLCO1B1*5), rs717620 (ABCC2) or rs6945984 (CYP3A). A subanalysis confirmed that although a significant part of the variance in LPV clearance was attributed to fluctuation in ritonavir levels, genetic variants had an additional effect on LPV clearance. CONCLUSION: The two-stage strategy successfully identified genetic variants affecting LPV/r pharmacokinetics. Such a general approach of ADME pharmacogenetics should be generalized to other drugs.

Developmental constraints on vertebrate genome evolution.

Constraints in embryonic development are thought to bias the direction of evolution by making some changes less likely, and others more likely, depending on their consequences on ontogeny. Here, we characterize the constraints acting on genome evolution in vertebrates. We used gene expression data from two vertebrates: zebrafish, using a microarray experiment spanning 14 stages of development, and mouse, using EST counts for 26 stages of development. We show that, in both species, genes expressed early in development (1) have a more dramatic effect of knock-out or mutation and (2) are more likely to revert to single copy after whole genome duplication, relative to genes expressed late. This supports high constraints on early stages of vertebrate development, making them less open to innovations (gene gain or gene loss). Results are robust to different sources of data -- gene expression from microarrays, ESTs, or in situ hybridizations; and mutants from directed KO, transgenic insertions, point mutations, or morpholinos. We determine the pattern of these constraints, which differs from the model used to describe vertebrate morphological conservation ("hourglass" model). While morphological constraints reach a maximum at mid-development (the "phylotypic" stage), genomic constraints appear to decrease in a monotonous manner over developmental time.

Computational analysis of the genetic and environmental contributions to disease-related human phenotypes: From predicting adverse lipid response of HIV patients receiving antiretroviral therapy to genome-wide association studies of cardiovascular and lipid related disorders

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.

Regressão via componentes independentes aplicada à seleção genômica para características de carcaça em suínos

O objetivo deste trabalho foi avaliar a eficiência do método de regressão via componentes independentes (ICR) na estimação de valores genéticos genômicos e dos efeitos de marcadores SNP para características de carcaça de uma população F2 de suínos (Piau x linhagem comercial). Os métodos foram avaliados por meio da concordância entre os valores genéticos preditos e os fenótipos corrigidos, observados por validação cruzada, e também foram comparados com outros métodos geralmente utilizados para os mesmos propósitos, tais como RR-BLUP, PCR e PLS. Os métodos ICR e PCR apresentam resultados similares, mas o método ICR apresenta maiores valores de acurácia.

Etude des gènes codant les protéines de gouttelettes lipidiques chez les patients avec la stéatose hépatique[Study of genes encoding proteins of lipid droplets in patients with fatty liver]

Introduction: La prévalence de la «non-alcoholic fatty liver disease (NAFLD)» dans les pays industrialisés augment de manière exponentielle. La NAFLD se développe d'une simple stéatose hépatique jusqu'à l'hépatite, puis à la cirrhose. De plus, la stéatose hépatique est fréquemment accompagnée par une résistance à l'insuline, une des causes principales du diabète. Les lipides intermédiaires, tels que céramides et diacylglycérols, ont été décrits comme induisant la résistance à l'insuline. Cependant, nous avons démontré dans notre modèle de stéatose hépatique, que les souris présentant une invalidation de la protéine «microsomal triglyceride transfer protein» (Mtpp) au niveau hépatique, ne développent pas de résistance à l'insuline. Ceci suggère fortement l'existence d'autres mécanismes susceptibles d'induire la résistance à l'insuline. Résultats: Grâce à une analyse de Microarray, nous avons observé une augmentation de l'expression des gènes «cell-death inducing DFFA-like effector c (CIDEC)», «lipid storage droplet protein 5 (LSDP5)» et «Bernardinelli-Seip congenital lipodystrophy 2 homolog (Seipin)» dans le foie des souris Mttp. Ces gènes ont récemment été identifiés comme des protéines localisées autour des gouttelettes lipidiques. Nous avons également constaté que la souris Mttp développe plutôt une microstéatose (petites gouttelettes lipidiques) qu'une macrostéatose qui est normalement observée chez les patients avec NAFLD. Nous avons étudié l'expression des gènes associés aux gouttelettes lipidiques chez les patients obèses avec stéatose hépatique, avec ou sans résistance à l'insuline. Comparés aux sujets sains sans stéatose hépatique, les patients avec la stéatose ont une expression significativement plus élevée. De manière intéressante, les patients avec résistance à l'insuline ont une diminution de ces expressions. Conclusion : Ces données suggèrent que les gènes des gouttelettes lipidiques sont impliqués dans le développement de la stéatose hépatique chez l'homme et peut-être contribue à la mise en place de la résistance à l'insuline.

Molecular genetics of narcolepsy

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.

Comparison of molecular signatures from multiple skin diseases identifies mechanisms of immunopathogenesis.

The ability to obtain gene expression profiles from human disease specimens provides an opportunity to identify relevant gene pathways, but is limited by the absence of data sets spanning a broad range of conditions. Here, we analyzed publicly available microarray data from 16 diverse skin conditions in order to gain insight into disease pathogenesis. Unsupervised hierarchical clustering separated samples by disease as well as common cellular and molecular pathways. Disease-specific signatures were leveraged to build a multi-disease classifier, which predicted the diagnosis of publicly and prospectively collected expression profiles with 93% accuracy. In one sample, the molecular classifier differed from the initial clinical diagnosis and correctly predicted the eventual diagnosis as the clinical presentation evolved. Finally, integration of IFN-regulated gene programs with the skin database revealed a significant inverse correlation between IFN-β and IFN-γ programs across all conditions. Our study provides an integrative approach to the study of gene signatures from multiple skin conditions, elucidating mechanisms of disease pathogenesis. In addition, these studies provide a framework for developing tools for personalized medicine toward the precise prediction, prevention, and treatment of disease on an individual level.

Endonuclease com incompatibilidade heteroduplex para detectar mutação e variações genéticas de inibidores da tripsina em soja

O objetivo deste trabalho foi avaliar a variação genética do inibidor de tripsina em variedades cultivadas (Glycine max) e silvestres (Glycine soja) de soja. Foram avaliadas as variações genéticas do inibidor de tripsina Kunitz, representado pela proteína 21-kDa (KTI), e do inibidor de tripsina-quimotripsina Bowman-Birk (BBI), em variedades de soja cultivadas (G. max) e selvagens (G. soja). Ensaios de clivagem foram feitos com endonuclease de incompatibilidade heteroduplex, para a detectar mutações no gene de KTI, com uma única nuclease específica de cadeia simples, obtida a partir de extractos de aipo (CEL I). As variedades de soja estudadas apresentaram baixo nível de variação genética em KTI e BBI. A análise por PCR -RFLP dividiu o BBI-A em A1 e A2 e mostrou que o Tib do KTI é o tipo dominante. A digestão com enzimas de restrição não foi capaz de detectar diferenças entre os tipos de ti-null e outros alelos Ti, enquanto o ensaio com endonucleases com incompatibilidade heteroduplex com CEL I pôde detectar o tipo ti-null. O método de digestão com CEL I fornece uma ferramenta genética simples e útil para a análise de SNP. O método apresentado pode ser utilizado como ferramenta para a triagem rápida e útil de genótipos desejáveis em futuros programas de melhoramento de soja.

Séquelles radio-induites et tests prédictifs [Radiation-induced sequelae: toward an individual profile]

The impact of curative radiotherapy depends mainly on the total dose delivered homogenously in the targeted volume. Nevertheless, the dose delivery is limited by the tolerated dose of the surrounding healthy tissues. Two different side effects (acute and late) can occur during and after radiotherapy. Of particular interest are the radiation-induced sequelae due to their irreversibility and the potential impact on daily quality of life. In a population treated in one center with the same technique, it appears that individual radiosensitivity clearly exists. In the hypothesis that genetic is involved in this area of research, lymphocytes seem to be the tissue of choice due to easy accessibility. Recently, low percentage of CD4 and CD8 lymphocyte apoptosis were shown to be correlated with high grade of sequelae. In addition, recent data suggest that patients with severe radiation-induced late side effects possess four or more SNP in candidate genes (ATM, SOD2, TGFB1, XRCC1 et XRCC3) and low radiation-induced CD8 lymphocyte apoptosis in vitro.

A functional microsatellite of the macrophage migration inhibitory factor gene associated with meningococcal disease.

Macrophage migration inhibitory factor (MIF) is an abundantly expressed proinflammatory cytokine playing a critical role in innate immunity and sepsis and other inflammatory diseases. We examined whether functional MIF gene polymorphisms (-794 CATT(5-8) microsatellite and -173 G/C SNP) were associated with the occurrence and outcome of meningococcal disease in children. The CATT(5) allele was associated with the probability of death predicted by the Pediatric Index of Mortality 2 (P=0.001), which increased in correlation with the CATT(5) copy number (P=0.04). The CATT(5) allele, but not the -173 G/C alleles, was also associated with the actual mortality from meningoccal sepsis [OR 2.72 (1.2-6.4), P=0.02]. A family-based association test (i.e., transmission disequilibrium test) performed in 240 trios with 1 afflicted offspring indicated that CATT(5) was a protective allele (P=0.02) for the occurrence of meningococcal disease. At baseline and after stimulation with Neisseria meningitidis in THP-1 monocytic cells or in a whole-blood assay, CATT(5) was found to be a low-expression MIF allele (P=0.005 and P=0.04 for transcriptional activity; P=0.09 and P=0.09 for MIF production). Taken together, these data suggest that polymorphisms of the MIF gene affecting MIF expression are associated with the occurrence, severity, and outcome of meningococcal disease in children.

Polymorphisms in candidate genes and their association with carcass traits and meat quality in Nellore cattle

The objective of this work was to estimate the allele polymorphism frequencies of genes in Nellore cattle and associate them with meat quality and carcass traits. Six hundred males were genotyped for the following polymorphisms: DGAT1 (VNTR with 18 nucleotides at the promoter region); ANK1, a new polymorphism, identified and mapped here at the gene regulatory region NW_001494427.3; TCAP (AY428575.1:g.346G>A); and MYOG (NW_001501985:g.511G>C). In the association study, phenotype data of hot carcass weight, ribeye area, backfat thickness, percentage of intramuscular fat, shear force, myofibrillar fragmentation index, meat color (L*, a*, b*), and cooking losses were used. Allele B from the ANK1 gene was associated with greater redness (a*). Alleles 5R, 6R, and 7R from the DGAT1 VNTR gene were associated with increased intramuscular fat, reduced cooking losses and increased ribeye area, respectively. The single nucleotide polymorphism (SNP) of the TCAP gene was not polymorphic, and MYOG alleles were not associated with any of the evaluated characteristics. These results indicate that ANK1 and DGAT1 genes can be used in the selection of Nellore cattle for carcass and meat quality.

Meta-analysis and imputation refines the association of 15q25 with smoking quantity.

Smoking is a leading global cause of disease and mortality. We established the Oxford-GlaxoSmithKline study (Ox-GSK) to perform a genome-wide meta-analysis of SNP association with smoking-related behavioral traits. Our final data set included 41,150 individuals drawn from 20 disease, population and control cohorts. Our analysis confirmed an effect on smoking quantity at a locus on 15q25 (P = 9.45 x 10(-19)) that includes CHRNA5, CHRNA3 and CHRNB4, three genes encoding neuronal nicotinic acetylcholine receptor subunits. We used data from the 1000 Genomes project to investigate the region using imputation, which allowed for analysis of virtually all common SNPs in the region and offered a fivefold increase in marker density over HapMap2 (ref. 2) as an imputation reference panel. Our fine-mapping approach identified a SNP showing the highest significance, rs55853698, located within the promoter region of CHRNA5. Conditional analysis also identified a secondary locus (rs6495308) in CHRNA3.