Genome‐wide association study of body mass index in 23 000 individuals with and without asthma
Notice bibliographique
Résumé
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».