ArticleNature communications2025
Multi-trait genetic analysis of asthma and eosinophils uncovers pleiotropic loci in East Asians.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Development and validation of a multiancestry and multitrait polygenic risk score for lung cancer.Nature communications · 2026Pooled it
- Post-genome-wide association study variant-to-function challenges in asthma research.The Journal of allergy and clinical immunology · 2026Review
- Breaking the bottleneck of asthma treatment: the future of omni-targeted therapy.Journal of advanced research · 2026Review
- Prognostic biomarkers for lung adenocarcinoma based on Mendelian randomization analysis.The Journal of international medical research · 2026Article
- Emerging perspectives in respiratory allergic diseases: a review of future directions.Frontiers in allergy · 2026Review
- Multi-trait GWAS identifies pleiotropic loci shared between early pregnancy bleeding and psychiatric traits.Frontiers in psychiatry · 2026Article
- CD36 in asthma: from a candidate immunometabolic checkpoint to genetic susceptibility.Frontiers in immunology · 2026Review
- Cross-trait genetic enrichment between GERD and psychiatric disorders in East Asian populations.Frontiers in genetics · 2026Article
- Exploring genetic loci linked to COVID-19 severity and immune response through multi-trait GWAS analyses.Frontiers in genetics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Asthma is a prevalent respiratory condition with over 100 genetic loci identified through genome-wide association studies (GWAS). However, the genetic basis of asthma in East Asians remains underexplored. To address this, we performed a comprehensive analysis of shared genetic mechanisms between asthma and white blood cell (WBC) traits in East Asians, aiming to identify potential pleiotropic loci. Using linkage disequilibrium score regression (LDSC), we identified a significant genetic correlation between asthma and eosinophil count, further supported by Mendelian randomization (MR) analysis. A multi-trait analysis of GWAS (MTAG) uncovered 52 genome-wide significant loci, including 31 previously unreported loci specific to East Asians. Notably, we discovered a missense variant (rs75326924) in the CD36 gene that exhibits increased expression in lymphocytes and type 2 innate lymphoid cell (ILC2)-enriched cells in asthma patients, confirmed by flow cytometry. Proteomic profiling demonstrated downregulation of immune-related proteins such as Interleukin-7, Oncostatin M, and VEGFA in carriers of rs75326924, a variant previously associated with CD36 deficiency. Our findings provide insights into genetic loci and candidate genes underlying asthma in East Asians, offering potential targets for therapeutic interventions tailored to this population.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.