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Enregistrement W2116256947 · doi:10.1111/cea.12054

Genome‐wide association study of body mass index in 23 000 individuals with and without asthma

2012· article· en· W2116256947 sur OpenAlex
E. Melén, Raquel Granell, Manolis Kogevinas, David P. Strachan, Juan R. González, Matthias Wjst, Deborah Jarvis, Markus Ege, Charlotte Braun‐Fahrländer, Jon Genuneit, Elisabeth Horak, Emmanuelle Bouzigon, Florence Démenais, F. Kauffmann, Valérie Siroux, Sven Michel, Andrea von Berg, Andrea Heinzmann, Michael Kabesch, Nicole Probst‐Hensch, Ivan Curjuric, Medea Imboden, Thierry Rochat, A. John Henderson, Jonathan A C Sterne, Wendy L. McArdle, Jennie Hui, Anthony James, Arthur W. Musk, Lyle J. Palmer, Allan B. Becker, Anita L. Kozyrskyj, M. Chan‐Young, Jung-Eun Park, Andy Leung, Denise Daley, Maxim B. Freidin, И. А. Деев, Л. М. Огородова, В. П. Пузырев, J. C. Celedón, John M. Brehm, Michelle M. Cloutier, Glorisa Canino, Edna Acosta‐Pérez, M. E. Soto‐Quiros, Lydiana Ávila, Anna Bergström, Jessica Magnusson, Cilla Söderhäll, Inger Kull, Salome Scholtens, H. Marike Boezen, Gerard H. Koppelman, Alet H. Wijga, Ingo Marenholz, Jorge Esparza-Gordillo, Susanne Lau, Y.‐A. Lee, Marie Standl, Carla M. T. Tiesler, Claudia Flexeder, Joachim Heinrich, Rachel A. Myers, Carole Ober, Dan L. Nicolae, Martin Farrall, Ashish Kumar, Miriam F. Moffatt, William Cookson, Jessica Lasky‐Su

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Notice bibliographique

RevueClinical & Experimental Allergy · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensUniversity of British ColumbiaUniversity of ManitobaUniversity of AlbertaLunenfeld-Tanenbaum Research InstituteOntario Institute for Cancer Research
Organismes subventionnairesChildren's Hospital of PittsburghEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute for Health and Care ResearchCanadian Institutes of Health ResearchBrigham and Women's HospitalNational Heart, Lung, and Blood InstituteWellcome Trust
Mots-clésGenome-wide association studyBody mass indexGenetic associationMedicineObesityAsthmaGenetic epidemiologyEpidemiologyGeneticsSingle-nucleotide polymorphismBiologyInternal medicineGenotypeGene

Résumé

récupéré en direct d'OpenAlex

Summary Background Both asthma and obesity are complex disorders that are influenced by environmental and genetic factors. Shared genetic factors between asthma and obesity have been proposed to partly explain epidemiological findings of co‐morbidity between these conditions. Objective To identify genetic variants that are associated with body mass index ( BMI ) in asthmatic children and adults, and to evaluate if there are differences between the genetics of BMI in asthmatics and healthy individuals. Methods In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. In total, 19 studies contributed with genome‐wide analysis study ( GWAS ) data from more than 23 000 individuals with predominantly European descent, of whom 8165 are asthmatics. Results We report associations between several DENND 1B variants ( P = 2.2 × 10 −7 for rs4915551) on chromosome 1q31 and BMI from a meta‐analysis of GWAS data using 2691 asthmatic children (screening data). The top DENND 1B single nucleotide polymorphisms ( SNP s) were next evaluated in seven independent replication data sets comprising 2014 asthmatics, and rs4915551 was nominally replicated ( P < 0.05) in two of the seven studies and of borderline significance in one ( P = 0.059). However, strong evidence of effect heterogeneity was observed and overall, the association between rs4915551 and BMI was not significant in the total replication data set, P = 0.71. Using a random effects model, BMI was overall estimated to increase by 0.30 kg/m 2 ( P = 0.01 for combined screening and replication data sets, N = 4705) per additional G allele of this DENND 1B SNP . FTO was confirmed as an important gene for adult and childhood BMI regardless of asthma status. Conclusions and Clinical Relevance DENND 1B was recently identified as an asthma susceptibility gene in a GWAS on children, and here, we find evidence that DENND 1B variants may also be associated with BMI in asthmatic children. However, the association was overall not replicated in the independent data sets and the heterogeneous effect of DENND 1B points to complex associations with the studied diseases that deserve further study.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,544

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,027
Tête enseignante GPT0,358
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle