Genomic Correlations, Shared Loci, and Drug Targets Between Polycystic Ovary Syndrome and Asthma: Insights From Genome-wide Association Analysis
Authors' conclusion
Our findings provide novel insights into the genetic basis and biological processes underlying the association between PCOS and asthma-related traits, warranting evaluation of whether PCOS-specific asthma risk assessment could improve clinical outcomes.
Study context
- Population
- Polycystic ovary syndrome (PCOS) cases and asthma-related traits from the UK Biobank and FinnGen cohorts
- Participants
- 10,074 PCOS cases
- Outcome
- Shared genetic architecture of PCOS and asthma-related traits
Methodological detailspleiotropic analysis under the composite null hypothesis, functional mapping and annotation, fine-mapping credible set analysis, drug database mining, tissue and cell enrichment analyses
- Pleiotropic analysis under the composite null hypothesis
- Functional mapping and annotation
- Fine-mapping credible set analysis
- Drug database mining
- Tissue and cell enrichment analyses
Main finding
As reported in the abstract
Novel significant genetic loci for asthma subtypes (2 allergic asthma, 1 childhood asthma)
3
Pleiotropic causal regions encompassing 13 genes
5
Observational data: associations, not effects.
Original publication
Genomic Correlations, Shared Loci, and Drug Targets Between Polycystic Ovary Syndrome and Asthma: Insights From Genome-wide Association Analysis. J Clin Endocrinol Metab. Published 8 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →