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Title: Integrative pathway genomics of lung function and airflow obstruction.
Authors: Gharib, S. A.
Loth, D. W.
Soler Artigas, María
Birkland, T. P.
Wilk, J. B.
Wain, Louise V.
Brody, J. A.
Obeidat, M.
Hancock, D. B.
Tang, W.
Rawal, R.
Boezen, H. M.
Imboden, M.
Huffman, J. E.
Lahousse, L.
Alves, A. C.
Manichaikul, A.
Hui, J.
Morrison, A. C.
Ramasamy, A.
Smith, A. V.
Gudnason, V.
Surakka, I.
Vitart, V.
Evans, D. M.
Strachan, D. P.
Deary, I. J.
Hofman, A.
Gläser, S.
Wilson, J. F.
North, K. E.
Zhao, J. H.
Heckbert, S. R.
Jarvis, D. L.
Probst-Hensch, N.
Schulz, H.
Barr, R. G.
Jarvelin, M. R.
O'Connor, G. T.
Kähönen, M.
Cassano, P. A.
Hysi, P. G.
Dupuis, J.
Hayward, C.
Psaty, B. M.
Hall, I. P.
Parks, W. C.
Tobin, Martin D.
London, S. J.
CHARGE Consortium; SpiroMeta Consortium
First Published: 22-Sep-2015
Publisher: Oxford University Press
Citation: Human Molecular Genetics, 2015, 24 (23) : 6836-6848
Abstract: Chronic respiratory disorders are important contributors to the global burden of disease. Genome-wide association studies (GWASs) of lung function measures have identified several trait-associated loci, but explain only a modest portion of the phenotypic variability. We postulated that integrating pathway-based methods with GWASs of pulmonary function and airflow obstruction would identify a broader repertoire of genes and processes influencing these traits. We performed two independent GWASs of lung function and applied gene set enrichment analysis to one of the studies and validated the results using the second GWAS. We identified 131 significantly enriched gene sets associated with lung function and clustered them into larger biological modules involved in diverse processes including development, immunity, cell signaling, proliferation and arachidonic acid. We found that enrichment of gene sets was not driven by GWAS-significant variants or loci, but instead by those with less stringent association P-values. Next, we applied pathway enrichment analysis to a meta-analyzed GWAS of airflow obstruction. We identified several biologic modules that functionally overlapped with those associated with pulmonary function. However, differences were also noted, including enrichment of extracellular matrix (ECM) processes specifically in the airflow obstruction study. Network analysis of the ECM module implicated a candidate gene, matrix metalloproteinase 10 (MMP10), as a putative disease target. We used a knockout mouse model to functionally validate MMP10's role in influencing lung's susceptibility to cigarette smoke-induced emphysema. By integrating pathway analysis with population-based genomics, we unraveled biologic processes underlying pulmonary function traits and identified a candidate gene for obstructive lung disease.
DOI Link: 10.1093/hmg/ddv378
ISSN: 0964-6906
eISSN: 1460-2083
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2015, Oxford University Press (OUP). Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website.
Description: This is a pre-copyedited, author-produced PDF of an article accepted for publication in Human Molecular Genetics following peer review. The version of record Hum. Mol. Genet. (2015) 24 (23): 6836-6848.doi: 10.1093/hmg/ddv378 is available online at:
Appears in Collections:Published Articles, Dept. of Health Sciences

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