The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
The clinical and genetic features of COPD-asthma overlap syndrome
Open accessAbstract
Individuals with chronic obstructive pulmonary disease (COPD) and asthma are an important but poorly characterised group. The genetic determinants of COPD and asthma overlap have not been studied. The aim of this study was to identify clinical features and genetic risk factors for COPD and asthma overlap. Subjects were current or former smoking non-Hispanic whites or African–Americans with COPD. Overlap subjects reported a history of physician-diagnosed asthma before the age of 40 years. We compared clinical and radiographic features between COPD and overlap subjects. We performed genome-wide association studies (GWAS) in the non-Hispanic whites and African–American populations, and combined these results in a meta-analysis. More females and African–Americans reported a history of asthma. Overlap subjects had more severe and more frequent respiratory exacerbations, less emphysema and greater airway wall thickness compared to subjects with COPD alone. The non-Hispanic white GWAS identified single nucleotide polymorphisms in the genes CSMD1(rs11779254, p=1.57×10−6) and SOX5(rs59569785, p=1.61×10−6) and the meta-analysis identified single nucleotide polymorphisms in the gene GPR65(rs6574978, p=1.18×10−7) associated with COPD and asthma overlap. Overlap subjects have more exacerbations, less emphysema and more airway disease for any degree of lung function impairment compared to COPD alone. We identified novel genetic variants associated with this syndrome. COPD and asthma overlap is an important syndrome and may require distinct clinical management.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Miller, M. R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C. P. M., Gustafsson, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034805 · Cited by 15,627
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
3D Slicer as an image computing platform for the Quantitative Imaging Network
Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.-C., Pujol, S., Bauer, C., Jennings, D., Fennessy, F., Sonka, M., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.05.001 · Cited by 9,023
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Susceptibility to Exacerbation in Chronic Obstructive Pulmonary Disease
Hurst, J. R., Vestbo, J., Anzueto, A., Locantore, N., Müllerova, H., Tal-Singer, R., Miller, B., Lomas, D. A., Agusti, A., MacNee, W., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0909883 · Cited by 2,981
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843
A large-scale, consortium-based genomewide association study of asthma
Moffatt, M. F., Gut, I. G., Demenais, F., Strachan, D. P., Bouzigon, E., Heath, S., von Mutius, E., Farrall, M., Lathrop, M., & Cookson, W. O. C. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0906312 · Cited by 1,818
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing
Howie, B., Fuchsberger, C., Stephens, M., Marchini, J., & Abecasis, G. R. (2012) · Nature Genetics · doi:10.1038/ng.2354 · Cited by 1,737
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Johnson, A. D., Handsaker, R. E., Pulit, S. L., Nizzari, M. M., O'Donnell, C. J., & de Bakker, P. I. W. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn564 · Cited by 1,330
Cited by
What is asthma−COPD overlap syndrome? Towards a consensus definition from a round table discussion
Sin, D. D., Miravitlles, M., Mannino, D. M., Soriano, J. B., Price, D., Celli, B. R., Leung, J. M., Nakano, Y., Park, H. Y., Wark, P. A., et al. (2016) · European Respiratory Journal · doi:10.1183/13993003.00436-2016 · Cited by 367
Defining the Asthma-COPD Overlap Syndrome in a COPD Cohort
Cosio, B. G., Soriano, J. B., López-Campos, J. L., Calle-Rubio, M., Soler-Cataluna, J. J., de-Torres, J. P., Marín, J. M., Martínez-Gonzalez, C., de Lucas, P., Mir, I., et al. (2016) · Chest · doi:10.1378/chest.15-1055 · Cited by 270
Genetics and Genomics of Longitudinal Lung Function Patterns in Individuals with Asthma
McGeachie, M. J., Yates, K. P., Zhou, X., Guo, F., Sternberg, A. L., Van Natta, M. L., Wise, R. A., Szefler, S. J., Sharma, S., Kho, A. T., et al. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201602-0250oc · Cited by 25
Self-citation
Metadata
- Authors
- Hardin, M., Cho, M., McDonald, M.-L., Beaty, T., Ramsdell, J., Bhatt, S., van Beek, E. J. R., Make, B. J., Crapo, J. D., Silverman, E. K., & Hersh, C. P.
- Venue
- European Respiratory Journal
- Publisher
- European Respiratory Society (ERS)
- Published
- 2014-05-29
- Volume
- 44
- Issue
- 2
- Pages
- 341-350
- ISSN
- 0903-1936 (ISSN-L)
- 1399-3003
- OpenAlex
- W2112503036
- Cited by
- 294
- References
- 34
- FWCI
- 28.11
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The clinical and genetic features of COPD-asthma overlap syndrome. https://app.cochat.ai/papers/10.1183/09031936.00216013
- The paper
- Hardin, M., Cho, M., McDonald, M.-L., Beaty, T., Ramsdell, J., Bhatt, S., van Beek, E. J. R., Make, B. J., Crapo, J. D., Silverman, E. K., & Hersh, C. P. (2014). The clinical and genetic features of COPD-asthma overlap syndrome. European Respiratory Journal. https://doi.org/10.1183/09031936.00216013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
