ArticleERJ open research2026
Integrative genomics reveal genetic links of chronic cough with risk factors and brain regional volumes.
Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Chronic cough is a common condition, particularly among women in their sixties, and is associated with a high disease burden and reduced quality of life. Limited understanding of its risk factors and genetic associations represents a barrier to its effective management. Methods: We used genome-wide association study datasets for respiratory and other diseases, as well as behavioural phenotypes from the UK Biobank, FinnGen, Global Biobank Meta-analysis Initiative and Psychiatric Genomics Consortium. We identified pleiotropic genetic associations with chronic cough using linkage disequilibrium score regression, pleiotropy analysis and Bayesian colocalisation analysis. We conducted Mendelian randomisation analysis to determine the association between brain regional volumes and chronic cough risk. Results: We identified 19 significant genetic correlations between chronic cough and various risk factors and associations. Among 74 pleiotropic genomic loci identified, the 4p14 locus had the strongest effect on cough-associated asthma, with RFC1 linked to cerebellar ataxia, neuropathy and vestibular areflexia syndrome. Gene enrichment analyses highlighted that the central nervous system and ion channel activity play roles in the pathogenesis of cough. A reduction in the volume of isthmus cingulate, thalamus proper and pallidum was associated with an increased risk of chronic cough. In ageing-associated cough, the direct effect of ageing on chronic cough showed an increased odds ratio of 1.044, while a reduction in left pallidum volume was associated with a decreased risk, with an odds ratio of 0.902. Conclusions: This genetic basis of chronic cough risk and its associations highlights both structural and functional genetic overlap, confirming the impact of reductions in brain regional volumes on chronic cough as a result of ageing.
Identifiers
What OpenQuestion 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 OpenQuestion graph.