Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology
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Rossin-2011-Proteins encoded in.pdf
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Author(s)
Rossin, Elizabeth
Lage, Kasper
Raychaudhuri, Soumya
Xavier, Ramnik J.
Tatar, Diana
Benita, Yair
International Inflammatory Bowel Disease Genetics Constortium
Cotsapas, Chris
Daly, Mark J.
Date Issued
January 2011
Journal
PLoS Genetics
Publisher
Public Library of Science
Citation
Rossin, Elizabeth J. et al. “Proteins Encoded in Genomic Regions Associated with Immune-Mediated Disease Physically Interact and Suggest Underlying Biology.” Ed. Takashi Gojobori. PLoS Genetics 7 (2011): e1001273.
Version
Final published version
Abstract
Genome-wide association studies have uncovered hundreds of DNA changes associated with complex disease. The ultimate promise of these studies is the understanding of disease biology; this goal, however, is not easily achieved because each disease has yielded numerous associations, each one pointing to a region of the genome, rather than a specific causal mutation. Presumably, the causal variants affect components of common molecular processes, and a first step in understanding the disease biology perturbed in patients is to identify connections among regions associated to disease. Since it has been reported in numerous Mendelian diseases that protein products of causal genes tend to physically bind each other, we chose to approach this problem using known protein–protein interactions to test whether any of the products of genes in five complex trait-associated loci bind each other. We applied several permutation methods and find robustly significant connectivity within four of the traits. In Crohn's disease and rheumatoid arthritis, we are able to show that these genes are co-expressed and that other proteins emerging in the network are enriched for association to disease. These findings suggest that, for the complex traits studied here, associated loci contain variants that affect common molecular processes, rather than distinct mechanisms specific to each association.
MIT Department
Whitaker College of Health Sciences and Technology
Harvard University--MIT Division of Health Sciences and Technology
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DOI of Published Version
https://doi.org/10.1371/journal.pgen.1001273
