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Published on: September 20, 2024
Integrative pathway genomics of lung function and airflow obstruction
Sina A Gharib1, Daan W Loth2, María Soler Artigas3
1Computational Medicine Core, Center for Lung Biology, Department of Medicine, sagharib@u.washington.edu.
Integrating pathway analysis with genome-wide association studies (GWASs) reveals biological processes influencing lung function. This approach identified matrix metalloproteinase 10 (MMP10) as a potential target for obstructive lung diseases.
Area of Science:
- Genomics
- Pulmonology
- Bioinformatics
Background:
- Chronic respiratory disorders represent a significant global health burden.
- Genome-wide association studies (GWASs) have identified loci for lung function but explain limited phenotypic variability.
- Integrating pathway analysis with GWASs may uncover a wider range of genes and processes affecting pulmonary traits.
Purpose of the Study:
- To identify genes and biological processes influencing pulmonary function and airflow obstruction by combining pathway-based methods with GWASs.
- To explore the functional overlap and differences between biological modules associated with lung function and airflow obstruction.
- To identify and validate novel candidate genes for obstructive lung disease.
Main Methods:
- Performed two independent GWASs of lung function and applied gene set enrichment analysis.
- Validated findings using a second independent GWAS dataset.
- Conducted pathway enrichment analysis on a meta-analyzed GWAS of airflow obstruction and performed network analysis.
Main Results:
- Identified 131 significantly enriched gene sets associated with lung function, clustering into modules related to development, immunity, cell signaling, and more.
- Found that gene set enrichment was driven by variants with less stringent P-values, not solely by GWAS-significant loci.
- Discovered overlapping and distinct biological modules for lung function and airflow obstruction, with extracellular matrix (ECM) processes enriched in the latter.
- Implicated matrix metalloproteinase 10 (MMP10) as a candidate gene for obstructive lung disease via network analysis of the ECM module.
- Validated MMP10's role in susceptibility to cigarette smoke-induced emphysema using a knockout mouse model.
Conclusions:
- Integrating pathway analysis with population-based genomics enhances the understanding of biological processes underlying pulmonary function.
- Identified MMP10 as a novel candidate gene for obstructive lung disease, with functional validation in a mouse model.
- This integrated approach provides a broader repertoire of genes and processes influencing lung function and disease.
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