| Title: | The association between type 2 diabetes and asthma incidence: a longitudinal analysis considering genetic susceptibility |
| Journal: | BMC Public Health |
| Published: | 15 Jan 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39815260/ |
| DOI: | https://doi.org/10.1186/s12889-024-21266-2 |
Publication 14506
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Abstract
BackgroundThe prevalence of type 2 diabetes (T2D) and asthma is rising, yet evidence regarding the relationship between T2D and asthma, particularly in the context of genetic predispositions, remains limited.MethodsThis study utilized data from the UK Biobank longitudinal cohort, involving 388,775 participants. A polygenic risk score (PRS) for asthma was derived from genome-wide association studies summary. Cox regression models were used to assess the association between T2D and asthma, incorporating the asthma PRS.ResultsOver a median follow-up of 13.62 years, 10,211 asthma cases were documented. After adjusting for age, sex, current smoking status, and other confounding variables, T2D was significantly associated with an increased risk of developing asthma (Hazard Ratios [HR] 1.16, 95% confidence interval [CI] 1.06-1.26). This association remained significant after further adjustments for genetic susceptibility to asthma. Furthermore, T2D increased the risk of developing asthma across both high and low genetic risk groups.ConclusionsT2D is associated with an increased risk of developing asthma, irrespective of genetic susceptibility. These findings underscore the importance of incorporating glucose regulation strategies into asthma prevention efforts.</p>
15 Keywords
- Adult
- Aged
- Asthma
- Diabetes Mellitus, Type 2
- Female
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Incidence
- Longitudinal Studies
- Male
- Middle Aged
- Multifactorial Inheritance
- Risk Factors
- United Kingdom
9 Authors
- Fei Chen
- Ying Yang
- Liping Yu
- Lulu Song
- Cong Zhang
- Yifan He
- Lili Wu
- Wanlu Ma
- Bo Zhang
1 Application
| Application ID | Title |
|---|---|
| 98577 | Development and validation of predictive multimorbidity model through genetic and healthy lifestyle and explore causal risk factors of multimorbidity and the effect of multimorbidity on mortality |
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