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Updated: Jan 17, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Unraveling shared genetics across asthma subtypes and 81 asthma-related traits
Raphaël Vernet1, Christophe Linhard1, Anja Estermann1
1Institut National de la Santé et de la Recherche Médicale (INSERM), HealthFex, Group of Genomic Epidemiology of Multifactorial Diseases, Université Paris Cité, Paris, France.
Background:
Asthma presents clinical and biological heterogeneity.
Objective:
We sought to better understand asthma heterogeneity by investigating the shared genetics between various asthma subtypes and a large number of biological and physiologic traits involved in asthma pathophysiology.
Methods:
We built a harmonized comprehensive database of 254 full genome-wide association study summary statistics datasets on asthma, asthma subtypes and 81 asthma-related traits (blood cells and molecular, anthropometric, and lung function traits). We enriched this database by performing meta-analyses for asthma-related traits reported in ≥2 studies. Then we identified shared genome-wide significant loci and estimated genetic overlaps and correlations (rg) between asthma subtypes and asthma-related traits by MiXeR software and linkage disequilibrium score regression.
Results:
Overall, asthma-associated loci were more pleiotropic than non-asthma-associated loci (median of shared traits, 4 vs 1, P = 1.3 × 10-36). Childhood-onset and moderate-to-severe asthma had higher SNP heritability (h2SNP ± standard error [SE], 0.27 ± 0.004 and 0.16 ± 0.02, respectively) than adult-onset asthma (0.08 ± 0.002) and asthma ever (0.06 ± 0.001). All asthma subtypes showed significant rg with eosinophils and IgE levels (0.24 ≤ rg ≤ 0.40, 5.1 × 10-14 ≤ P ≤ .04), with childhood-onset asthma sharing 94% of "causal" variants with IgE, whereas other asthma subtypes shared <60%. Adult-onset asthma showed significant rg and shared a substantial amount of causal variants with adult body mass index (rg = 0.26, P < .007; shared variants, 84%) and forced expiratory volume in 1 second (rg = -0.36, P < 7.7 × 10-10; shared variants, 95%). Finally, moderate-to-severe asthma was characterized by a significant rg with hepatocyte growth factor levels (rg = 0.38, P = 6 × 10-4), a potential biomarker of lung injury.
Conclusion:
Common and specific genetic architectures underlie different asthma subtypes and can help us understand the pathophysiologic mechanisms underlying asthma heterogeneity.
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