📇 Rhumatologue · LE MANS · (72) · Libéral
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2 raisons identifiées
Praticien-chercheur
6 articles scientifiques publiés — formation continue solide
Délais de RDV courts dans la région
77.4 rhumatos / 100 000 hab. — département bien doté
✨ Génération du profil synthétique IA en cours…
Articles déposés en accès libre sur l'archive ouverte des universités françaises (HAL) — gage d'activité de recherche en France.
Source : (couvre articles, chapitres EMC, communications congrès, thèses).
Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.
CABINET DU DR BRUNO JOUBERT
11 RUE DU CORNET, 72000 LE MANS
Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).
Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).
Cerebellum (London, England) · 2016
Genetic epidemiology · 2015
ABSTRACTNew high throughput technologies are now enabling simultaneous epigenetic profiling of DNA methylation at hundreds of thousands of CpGs across the genome. A problem of considerable practical interest is identification of large scale, global changes in methylation that are associated with environmental variables, clinical outcomes, or other experimental conditions. However, there has been little statistical research on methods for global methylation analysis using technologies with individual CpG resolution. To address this critical gap in the literature, we develop a new strategy for global analysis of methylation profiles using a functional regression approach wherein we approximate either the density or the cumulative distribution function (CDF) of the methylation values for each individual using B‐spline basis functions. The spline coefficients for each individual are allowed to summarize the individual's overall methylation profile. We then test for association between the overall distribution and a continuous or dichotomous outcome variable using a variance component score test that naturally accommodates the correlation between spline coefficients. Simulations indicate that our proposed approach has desirable power while protecting type I error. The method was applied to detect methylation differences, both genome wide and at LINE1 elements, between the blood samples from rheumatoid arthritis patients and healthy controls and to detect the epigenetic changes of human hepatocarcinogenesis in the context of alcohol abuse and hepatitis C virus infection. A free implementation of our methods in the R language is available in the Global Analysis of Methylation Profiles (GAMP) package at http://research.fhcrc.org/wu/en.html.
Genetic epidemiology · 2009
AbstractDespite the importance of gene‐environment (G×E) interactions in the etiology of common diseases, little work has been done to develop methods for detecting these types of interactions in genome‐wide association study data. This was the focus of Genetic Analysis Workshop 16 Group 10 contributions, which introduced a variety of new methods for the detection of G×E interactions in both case‐control and family‐based data using both cross‐sectional and longitudinal study designs. Many of these contributions detected significant G×E interactions. Although these interactions have not yet been confirmed, the results suggest the importance of testing for interactions. Issues of sample size, quantifying the environmental exposure, longitudinal data analysis, family‐based analysis, selection of the most powerful analysis method, population stratification, and computational expense with respect to testing G×E interactions are discussed. Genet. Epidemiol. 33 (Suppl. 1):S68–S73, 2009. © 2009 Wiley‐Liss, Inc.
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
Genetic epidemiology · 2015 · Journal Article
Zhao N, Bell DA, Maity A, Staicu AM, et al.
Genetic epidemiology · 2009 · Conference Proceedings
Engelman CD, Baurley JW, Chiu YF, Joubert BR, et al.
Physical review letters · 2026 · Journal Article
Abac AG, Abouelfettouh I, Acernese F, Ackley K, et al.
Physical review letters · 2025 · Journal Article
Abac AG, Abouelfettouh I, Acernese F, Ackley K, et al.
JCO oncology practice · 2025 · Journal Article
Varnier R, Fontaine-Delaruelle C, Freymond N, Essongue A, et al.
Cerebellum (London, England) · 2016 · Journal Article
Mitoma H, Adhikari K, Aeschlimann D, Chattopadhyay P, et al.