Genetics and Genomics of Longitudinal Lung Function Patterns in Individuals with Asthma
Open accessAbstract
RATIONALE: Patterns of longitudinal lung function growth and decline in childhood asthma have been shown to be important in determining risk for future respiratory ailments including chronic airway obstruction and chronic obstructive pulmonary disease. OBJECTIVES: To determine the genetic underpinnings of lung function patterns in subjects with childhood asthma. METHODS: We performed a genome-wide association study of 581 non-Hispanic white individuals with asthma that were previously classified by patterns of lung function growth and decline (normal growth, normal growth with early decline, reduced growth, and reduced growth with early decline). The strongest association was also measured in two additional cohorts: a small asthma cohort and a large chronic obstructive pulmonary disease metaanalysis cohort. Interaction between the genomic region encompassing the most strongly associated single-nucleotide polymorphism and nearby genes was assessed by two chromosome conformation capture assays. MEASUREMENTS AND MAIN RESULTS: ; odds ratio, 2.8; 95% confidence interval, 2.0-4.0); replication analysis suggested this variant had opposite effects in normal growth with early decline and reduced growth with early decline pattern groups. Chromosome conformation capture experiments indicated a chromatin interaction between rs4445257 and the promoter of the distal CSMD3 gene. CONCLUSIONS: Early decline in lung function after normal growth is associated with a genetic polymorphism that may also protect against early decline in reduced growth groups. Clinical trial registered with www.clinicaltrials.gov (NCT00000575).
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Mapping interactions between enhancers and promoters in disease-relevant cells improves the accuracy of assigning target genes.
“Mapping interactions between enhancers and promoters in disease-relevant cells improves the accuracy of the assignment (Grubert et al., 2015; McGeachie et al., 2016; Pomerantz et al., 2009), but this is not always feasible.”
From Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control (2016) · cites this paper as McGeachie et al., 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 55 · Cited by 25
Research works printed but not linked: 2
- [20]McGeachie MJ, Yates KP, Cho MH, Croteau-Chonka DC, Castaldi PJ, Silverman EK, Zhou X, Wise RA, Tonascia J, Sternberg AL, et al. Phenotypic and genetic risk factors for reduced growth and early decline in FEV1 into early adulthood in childhood asthmatics [abstract] Am J Respir Crit Care Med. 2014;189:A1004. [Google Scholar]
- [44]Pontius JU, Wagner L, Schuler G. UniGene: a unified view of the transcriptome. The NCBI Handbook. Bethesda, MD: National Center for Biotechnology Information; 2003. [Google Scholar]
- Authors
- 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., Cho, M. H., Croteau-Chonka, D. C., Castaldi, P. J., Jain, G., Sanyal, A., Zhan, Y., Lajoie, B. R., Dekker, J., Stamatoyannopoulos, J., Covar, R. A., Zeiger, R. S., Adkinson, N. F., Williams, P. V., Kelly, H. W., Grasemann, H., Vonk, J. M., Koppelman, G. H., Postma, D. S., Raby, B. A., Houston, I., Lu, Q., Fuhlbrigge, A. L., Tantisira, K. G., Silverman, E. K., Tonascia, J., Strunk, R. C., & Weiss, S. T.
- Affiliations
- Brigham and Women's Hospital (US)
- Bloomberg School of Public Health and
- Johns Hopkins University (US)
- National Jewish Health (US)
- University of Colorado Denver (US)
- Channing Division of Network Medicine and
- University of Massachusetts Chan Medical School (US)
- Howard Hughes Medical Institute (US)
- University of Washington (US)
- Kaiser Permanente (US)
- ASTHMA, Inc., Clinical Research Center and Northwest Asthma & Allergy Center, Seattle, Washington
- University of New Mexico Health Sciences Center (US)
- University of Toronto (CA)
- University Medical Center Groningen (NL)
- Harvard University (US)
- Washington University in St. Louis (US)
- Corresponding author
- McGeachie, Michael J.
- ORCID
- McGeachie, Michael J.
- Yates, Katherine P.
- Zhou, Xiaobo
- Guo, Feng
- Wise, Robert A.
- Szefler, Stanley J.
- Kho, Alvin T.
- Cho, Michael H.
- Castaldi, Peter J.
- Jain, Gaurav
- Sanyal, Amartya
- Zhan, Ye
- Lajoie, Bryan R.
- Dekker, Job
- Stamatoyannopoulos, John
- Covar, Ronina A.
- Zeiger, Robert S.
- Williams, Paul V.
- Grasemann, Hartmut
- Vonk, Judith M.
- Koppelman, Gerard H.
- Postma, Dirkje S.
- Raby, Benjamin A.
- Lu, Quan
- Fuhlbrigge, Anne L.
- Tantisira, Kelan G.
- Silverman, Edwin K.
- Tonascia, James
- Weiss, Scott T.
- Venue
- American Journal of Respiratory and Critical Care Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-12
- Volume
- 194
- Issue
- 12
- Pages
- 1465-1474
- ISSN
- 1073-449X (ISSN-L)
- 1535-4970
- PMC
- PMC5215031
- OpenAlex
- W2468405471
- Cited by
- 25
- References
- 55
- Citations by year
- 2025: 4 · 2022: 1 · 2020: 4 · 2019: 2 · 2018: 4 · 2017: 8 · 2016: 2
- FWCI
- 4.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Respiratory and Critical Care Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship@UMassChan (submittedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Funders
- Parker B. Francis Foundation (P01-HL083069, U01-HL065899, U01-HL105569, U01HL075408)
- National Institutes of Health (R01HL127200, R21HL120794, R01-HL113264, K01-HL127265, K08-HL102265, R01-HL124233, R01-HL075478, R01-HL089856, P01-HL105339, U01-HL091075, K25 HL091124, U01-HL065899, R01-NR013391)
- National Human Genome Research Institute (HG003143, HG007010)
- NIH (DK 107980)
- Human Frontier Science Project Organization
- NHLBI and General Clinical Research Center (NO1-HR-16044, 16045, 16046, 16047, 16048, 16049, 16050, 16051, 16052)
- National Center for Research Resources (M01RR00051, M01RR0099718-24, M01RR02719-14, RR00036)
- NHLBI (U01HL075232, U01HL075407, U01HL075408, U01HL075409, U01HL075415, U01HL075416, U01HL075417, U01HL075419, U01HL075420)
- NCRR/NIH (UL1RR025780)
- National Center for Advancing Translational Sciences/NIH (UL1TR000154)
- Netherlands Lung Foundation (AF 95.09, AF 98.48, AF 3.2.02.51, AF 3.2.07.015)
- University Medical Center Groningen
- Topics
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- childhood asthma, lung function decline, lung function growth, genetic polymorphism, CSMD3, chronic obstructive pulmonary disease, chronic airflow obstruction, chromatin interactions, genome-wide association study
- MeSH terms
- Asthma, Child, Child, Preschool, Female, Forced Expiratory Volume, Humans, Longitudinal Studies, Lung, Male, Netherlands, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genomics, Genome-Wide Association Study
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