A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma

Amitabh Sharma(Dana-Farber Cancer Institute), Jörg Menche(Dana-Farber Cancer Institute), Chaohua Huang(Janssen (United States)), Tatiana Ort(Janssen (United States)), Xiaobo Zhou(Brigham and Women's Hospital), Maksim Kitsak(Dana-Farber Cancer Institute), Nidhi Sahni(Dana-Farber Cancer Institute), Derek Thibault(Harvard University), Linh Voung(Brigham and Women's Hospital), Feng Guo(Harvard University), Susan Dina Ghiassian(Northeastern University), Natali Gulbahce(University of California, San Francisco), Frédéric Baribaud(Janssen (United States)), Joel Tocker(Janssen (United States)), Radu Dobrin(Janssen (United States)), Elliot S. Barnathan(Janssen (United States)), Hao Liu(Janssen (United States)), Reynold A. Panettieri(University of Pennsylvania), Kelan G. Tantisira(Brigham and Women's Hospital), Weiliang Qiu(Harvard University), Benjamin A. Raby(Harvard University), Edwin K. Silverman(Harvard University), Marc Vidal(Harvard University), Scott T. Weiss(Harvard University), Albert-Ĺaszló Barabási(Budapest University of Technology and Economics)
Human Molecular Genetics
January 12, 2015
Cited by 211Open Access
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Abstract

Recent advances in genetics have spurred rapid progress towards the systematic identification of genes involved in complex diseases. Still, the detailed understanding of the molecular and physiological mechanisms through which these genes affect disease phenotypes remains a major challenge. Here, we identify the asthma disease module, i.e. the local neighborhood of the interactome whose perturbation is associated with asthma, and validate it for functional and pathophysiological relevance, using both computational and experimental approaches. We find that the asthma disease module is enriched with modest GWAS P-values against the background of random variation, and with differentially expressed genes from normal and asthmatic fibroblast cells treated with an asthma-specific drug. The asthma module also contains immune response mechanisms that are shared with other immune-related disease modules. Further, using diverse omics (genomics, gene-expression, drug response) data, we identify the GAB1 signaling pathway as an important novel modulator in asthma. The wiring diagram of the uncovered asthma module suggests a relatively close link between GAB1 and glucocorticoids (GCs), which we experimentally validate, observing an increase in the level of GAB1 after GC treatment in BEAS-2B bronchial epithelial cells. The siRNA knockdown of GAB1 in the BEAS-2B cell line resulted in a decrease in the NFkB level, suggesting a novel regulatory path of the pro-inflammatory factor NFkB by GAB1 in asthma.


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