Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Shared genetic and experimental links between obesity-related traits and asthma subtypes in UK Biobank

Zhaozhong Zhu, Yanjun Guo, Huwenbo Shi, Cong-Lin Liu, Ronald Allan M. Panganiban, Wonil Chung, Luke J. O’Connor, Blanca E. Himes, Steven Gazal, Kohei Hasegawa, Carlos A. Camargo, Lu Qi, Miriam F. Moffatt, Frank B. Hu, Quan Lu, William Cookson, Liming Liang

Journal of Allergy and Clinical Immunology · 2019

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Summary

This 2019 study examined shared genetic pathways between obesity and asthma subtypes in the UK Biobank cohort, as suggested by epidemiological associations observed in clinical populations. Using genome-wide association data and linkage disequilibrium score regression, the authors estimated genetic correlations and identified whether obesity-related genetic variants explain variation in asthma risk and phenotypic heterogeneity. The work contributes to understanding whether obesity and asthma share common aetiological mechanisms or whether associations are mediated through shared metabolic or immunological pathways.

UK applicability

The findings are directly applicable to UK clinical and public health contexts, given the use of UK Biobank data representing the contemporary British population. Results may inform stratification of asthma patients by obesity status and genetic predisposition, potentially refining phenotypic classification and personalised management strategies in NHS settings.

Key measures

Genetic correlation estimates between obesity-related traits (BMI, weight, body composition) and asthma subtypes; polygenic risk scores; heritability; linkage disequilibrium score regression

Outcomes reported

The study investigated shared genetic architecture and experimental links between obesity-related traits and different asthma subtypes using UK Biobank data. It examined whether obesity-related genetic variants and phenotypic associations contribute to asthma risk and heterogeneity.

Theme
Nutrition & health
Subject
Dietary patterns & chronic disease
Study type
Research
Study design
Observational cohort with genetic analysis
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Human clinical
DOI
10.1016/j.jaci.2019.09.035
Catalogue ID
SNmoj1xza7-tgmzby

Topic tags

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