SynthesisNature communications2022
Discerning asthma endotypes through comorbidity mapping.
Synthesis in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 25 citations in OpenAlex.
- Post-genome-wide association study variant-to-function challenges in asthma research.The Journal of allergy and clinical immunology · 2026Review
- Assessing the comorbidity between asthma and depression through polygenic risk scoring and time-to-event models.BMC medicine · 2026Article
- Differences in microRNA levels across metabo-endotypes reveal novel insights into asthma heterogeneity.Respiratory research · 2026Article
- An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations.Quantitative biology (Beijing, China) · 2025Article
- Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025Review
- Integration of biobank-scale genetics and plasma proteomics reveals evidence for causal processes in asthma risk and heterogeneity.Cell genomics · 2025Article
- Integration of functional genomics and statistical fine-mapping systematically characterizes adult-onset and childhood-onset asthma genetic associations.Genome medicine · 2025Article
- Current Review of Comorbidities in Chronic Rhinosinusitis.Current allergy and asthma reports · 2024Review
- Asthma-Genomic Advances Toward Risk Prediction.Clinics in chest medicine · 2024Review
- Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories.Nature communications · 2024Article
- A mutation in Themis contributes to anaphylaxis severity following oral peanut challenge in CC027 mice.The Journal of allergy and clinical immunology · 2024Article
- Genetics of chronic respiratory disease.Nature reviews. Genetics · 2024Review
- Integrated Pleiotropic Gene Set Unveils Comorbidity Insights across Digestive Cancers and Other Diseases.Genes · 2024Article
- Age-dependent topic modeling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.Nature genetics · 2023Article
- Genomics of Treatable Traits in Asthma.Genes · 2023Review
- The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci.Nature computational science · 2023Article
Corrections and comments
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Authors and funding
19 authors at 6 institutions in 3 countries.
Funding
Abstract
Asthma is a heterogeneous, complex syndrome, and identifying asthma endotypes has been challenging. We hypothesize that distinct endotypes of asthma arise in disparate genetic variation and life-time environmental exposure backgrounds, and that disease comorbidity patterns serve as a surrogate for such genetic and exposure variations. Here, we computationally discover 22 distinct comorbid disease patterns among individuals with asthma (asthma comorbidity subgroups) using diagnosis records for >151 M US residents, and re-identify 11 of the 22 subgroups in the much smaller UK Biobank. GWASs to discern asthma risk loci for individuals within each subgroup and in all subgroups combined reveal 109 independent risk loci, of which 52 are replicated in multi-ancestry meta-analysis across different ethnicity subsamples in UK Biobank, US BioVU, and BioBank Japan. Fourteen loci confer asthma risk in multiple subgroups and in all subgroups combined. Importantly, another six loci confer asthma risk in only one subgroup. The strength of association between asthma and each of 44 health-related phenotypes also varies dramatically across subgroups. This work reveals subpopulations of asthma patients distinguished by comorbidity patterns, asthma risk loci, gene expression, and health-related phenotypes, and so reveals different asthma endotypes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.