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Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD

BACKGROUND: The investigation of complex disease heterogeneity has been challenging. Here, we introduce a network-based approach, using partial correlations, that analyzes the relationships among multiple disease-related phenotypes. RESULTS: We applied this method to two large, well-characterized st...

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Detalles Bibliográficos
Autores principales: Chu, Jen-hwa, Hersh, Craig P, Castaldi, Peter J, Cho, Michael H, Raby, Benjamin A, Laird, Nan, Bowler, Russell, Rennard, Stephen, Loscalzo, Joseph, Quackenbush, John, Silverman, Edwin K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4105829/
https://www.ncbi.nlm.nih.gov/pubmed/24964944
http://dx.doi.org/10.1186/1752-0509-8-78
Descripción
Sumario:BACKGROUND: The investigation of complex disease heterogeneity has been challenging. Here, we introduce a network-based approach, using partial correlations, that analyzes the relationships among multiple disease-related phenotypes. RESULTS: We applied this method to two large, well-characterized studies of chronic obstructive pulmonary disease (COPD). We also examined the associations between these COPD phenotypic networks and other factors, including case-control status, disease severity, and genetic variants. Using these phenotypic networks, we have detected novel relationships between phenotypes that would not have been observed using traditional epidemiological approaches. CONCLUSION: Phenotypic network analysis of complex diseases could provide novel insights into disease susceptibility, disease severity, and genetic mechanisms.