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Enregistrement W6910400709 · doi:10.48336/dt9d-wd17

Sex-specific genetic determinants of Asthma-COPD phenotype in middle-aged and older Canadian adults: an analysis of CLSA data

2023· article· en· W6910400709 sur OpenAlexaffabout

Notice bibliographique

RevueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensMemorial University of Newfoundland
Organismes subventionnairesnon disponible
Mots-clésAsthmaBiobankCOPDCohortExacerbationDiseasePopulationCohort studyLung function

Résumé

récupéré en direct d'OpenAlex

Asthma is a chronic respiratory disease affecting both children and adults, while chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease most often associated with smoking and is usually seen in middle-aged and older adults. Asthma-COPD phenotype is a newly found phenotype of chronic obstructive airway disease exhibiting features of both asthma and COPD. Patients with coexisting asthma and COPD are more likely than those with COPD or asthma alone to have poorer quality of life, more frequent exacerbation of respiratory symptoms, rapid lung function decline, higher mortality, and greater healthcare utilization. Many recent population studies have found that females have a higher prevalence of asthma-COPD phenotype and COPD than males. In addition, the prevalence of asthma is higher in males during childhood but increases in females in puberty and adulthood. Although it is unclear what causes sex differences in the risk of asthma-COPD phenotype, COPD, and asthma, it is widely believed that genetic, environmental risk factors, and gene-environmental interactions play an important role. This study used the Canadian Longitudinal Study on Aging (CLSA) data (Baseline Comprehensive and Genomic datasets) to examine sex-specific genetic risk factors for asthma-COPD phenotype, COPD, and asthma in middle-aged and older Canadian adults. The study cohort consisted of 26,622 participants genotyped using the Affymetrix U.K. Biobank Axiom array from the Comprehensive Cohort of 30,097 adults aged 45 to 85. Participants were grouped into four mutually exclusive categories (asthma-COPD phenotype, COPD, asthma, and control). Asthma and COPD were defined as positive responses to the survey questions: "Has a doctor ever told you that you have asthma?" and "Has a doctor told you that you have/had any of the following: emphysema, chronic bronchitis, chronic obstructive pulmonary disease (COPD), or chronic changes in the lungs due to smoking?" respectively. Participants who answered "yes" to self-reported physician-diagnosed asthma and COPD were classified as having asthma-COPD phenotype. The control subjects were those who responded "no" to a self-reported physician diagnosis of asthma and COPD. The association between genetic markers and the outcomes ( asthma-COPD phenotype, COPD, and asthma) was assessed in 2 phases. First, A genome-wide SNP by sex interaction test was conducted using multivariate logistic regression under the additive inheritance model to identify SNPs with significant interaction with sex at the level of 10-5. Second, a sex-stratified multivariate survey logistic regression was performed using SNPs with interaction p-values less than 10-5 to identify male and female-specific polymorphisms associated with asthma-COPD phenotype, COPD, and asthma. A total of 416,562 SNPs were examined after GWAS quality control. Seven male-specific SNPs (rs11799559, rs3821479, rs77800494, rs11061082, rs926718, rs1884882, and rs1051169) in/near SMYD3, FHIT, ZNF608, RIMBP2, ZNF133, BPIFB1, and S100B respectively were significantly associated with asthma-COPD phenotype. No SNP was significantly associated with asthma-COPD phenotype in females. Eight polymorphisms (rs13326145, rs56334611, rs6816344, rs17039240, rs6935314, rs13225543, rs12869252, and rs6090327) near MAGI1, COX18, OSTC, ELOVL5, C7orf72 FGF14, and NKAIN4 genes respectively were significantly associated with COPD in males. In addition, four polymorphisms (rs12025895, rs10931835, rs220806, and rs77625370) in/near CAMTA1, SATB2, PDE10A, and LINC00908 genes were significantly associated with COPD amongst females. Five polymorphisms (rs6701638, rs17071077, rs254804, rs6013213, and rs2968822) in/near KIF26B, NMBR, PEPD, RTN4, and NFATC2 loci, were significantly associated with asthma in males. In contrast, three SNPs (rs2968801, rs2864052, and rs9525931) in/near RTN4 and SERP2 loci were significantly associated with asthma in females. These results suggest a sexually dimorphic association between these polymorphisms and asthma-COPD phenotype, COPD, and asthma. It provides further evidence of the distinct pathogenesis of the three diseases since no overlapping SNP was identified. Further functional studies will help determine the roles these variants/genes play in the pathogenesis of asthma-COPD phenotype, COPD, and asthma, thus, potentially paving the way for better disease endotyping and precision medicine.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,018
Score d'incertitude au seuil0,130

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,008
Études des sciences et des technologies0,0030,001
Communication savante0,0010,000
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,046
Tête enseignante GPT0,281
Écart entre enseignants0,235 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission2
Résumé présentoui

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