Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 504

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Genetic Modifiers of Lung Disease in Cystic Fibrosis

Open access
Drumm, Mitchell L., Konstan, Michael W., Schluchter, Mark D., Handler, Allison, Pace, Rhonda, Zou, Fei, Zariwala, Maimoona, Fargo, David, Xu, Airong, Dunn, John M., Darrah, Rebecca J., Dorfman, Ruslan, Sandford, Andrew J., Corey, Mary, Zielenski, Julian, Durie, Peter, Goddard, Katrina, Yankaskas, James R., Wright, Fred A., Knowles, Michael R.·2005·New England Journal of Medicine

Abstract

BACKGROUND: Polymorphisms in genes other than the cystic fibrosis transmembrane conductance regulator (CFTR) gene may modify the severity of pulmonary disease in patients with cystic fibrosis. METHODS: We performed two studies with different patient samples. We first tested 808 patients who were homozygous for the DeltaF508 mutation and were classified as having either severe or mild lung disease, as defined by the lowest or highest quartile of forced expiratory volume in one second (FEV1), respectively, for age. We genotyped 16 polymorphisms in 10 genes reported by others as modifiers of disease severity in cystic fibrosis and tested for an association in patients with severe disease (263 patients) or mild disease (545). In the replication (second) study, we tested 498 patients, with various CFTR genotypes and a range of FEV1 values, for an association of the TGFbeta1 codon 10 CC genotype with low FEV1. RESULTS: In the initial study, significant allelic and genotypic associations with phenotype were seen only for TGFbeta1 (the gene encoding transforming growth factor beta1), particularly the -509 and codon 10 polymorphisms (with P values obtained with the use of Fisher's exact test and logistic regression ranging from 0.006 to 0.0002). The odds ratio was about 2.2 for the highest-risk TGFbeta1 genotype (codon 10 CC) in association with the phenotype for severe lung disease. The replication study confirmed the association of the TGFbeta1 codon 10 CC genotype with more severe lung disease in comparisons with the use of dichotomized FEV1 for severity status (P=0.0002) and FEV1 values directly (P=0.02). CONCLUSIONS: Genetic variation in the 5' end of TGFbeta1 or a nearby upstream region modifies disease severity in cystic fibrosis.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1056/nejmoa051469

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 5 references

Cited by

See all 504

Metadata

Authors
Drumm, M. L., Konstan, M. W., Schluchter, M. D., Handler, A., Pace, R., Zou, F., Zariwala, M., Fargo, D., Xu, A., Dunn, J. M., Darrah, R. J., Dorfman, R., Sandford, A. J., Corey, M., Zielenski, J., Durie, P., Goddard, K., Yankaskas, J. R., Wright, F. A., & Knowles, M. R.
Venue
New England Journal of Medicine
Published
2005-10-06
Volume
353
Issue
14
Pages
1443-1453
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W1979451256
Cited by
504
References
5
FWCI
31.08
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: Genetic Modifiers of Lung Disease in Cystic Fibrosis. https://app.cochat.ai/papers/10.1056/nejmoa051469
The paper
Drumm, M. L., Konstan, M. W., Schluchter, M. D., Handler, A., Pace, R., Zou, F., Zariwala, M., Fargo, D., Xu, A., Dunn, J. M., Darrah, R. J., Dorfman, R., Sandford, A. J., Corey, M., Zielenski, J., Durie, P., Goddard, K., Yankaskas, J. R., Wright, F. A., & Knowles, M. R. (2005). Genetic Modifiers of Lung Disease in Cystic Fibrosis. New England Journal of Medicine. https://doi.org/10.1056/nejmoa051469

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.