Integrative pathway genomics of lung function and airflow obstruction
Integrative pathway genomics of lung function and airflow obstruction
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.
Couto Alves, Alexessander
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Gharib, Sina A
7ac54181-0115-40b0-960f-531ecf3d3b6d
Loth, Daan W
9de42ce0-e808-47b9-901a-e170781d466e
Artigas, María Soler
94c8730d-36f4-4266-885f-9335845fe558
Birkland, Timothy P.
8c3b2020-ec05-4480-870c-47d1b1068743
22 September 2015
Couto Alves, Alexessander
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Gharib, Sina A
7ac54181-0115-40b0-960f-531ecf3d3b6d
Loth, Daan W
9de42ce0-e808-47b9-901a-e170781d466e
Artigas, María Soler
94c8730d-36f4-4266-885f-9335845fe558
Birkland, Timothy P.
8c3b2020-ec05-4480-870c-47d1b1068743
Couto Alves, Alexessander, Gharib, Sina A, Loth, Daan W, Artigas, María Soler and Birkland, Timothy P.
(2015)
Integrative pathway genomics of lung function and airflow obstruction.
Human Molecular Genetics, 24 (23).
(doi:10.1093/hmg/ddv378).
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.
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Accepted/In Press date: 10 September 2015
Published date: 22 September 2015
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Local EPrints ID: 494938
URI: http://eprints.soton.ac.uk/id/eprint/494938
ISSN: 0964-6906
PURE UUID: ae790124-904f-4f4a-9de0-01d5da2990de
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Date deposited: 23 Oct 2024 16:54
Last modified: 24 Oct 2024 02:11
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Author:
Alexessander Couto Alves
Author:
Sina A Gharib
Author:
Daan W Loth
Author:
María Soler Artigas
Author:
Timothy P. Birkland
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