The impact of disease-causing defects is often not limited to the products of a mutated gene but, thanks to interactions between the molecular components, may also affect other cellular functions, resulting in potential comorbidity effects. By combining information on cellular interactions, disease–gene associations, and population-level disease patterns extracted from Medicare data, we find statistically significant correlations between the underlying structure of cellular networks and disease comorbidity patterns in the human population. Our results indicate that such a combination of population-level data and cellular network information could help build novel hypotheses about disease mechanisms.
cellular networks, population-level statistics
Comorbidity, Diseases, Genes
EMBO and Nature Publishing Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 license (http://creativecommons.org/licenses/by-nc-sa/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
© 2007 EMBO and Nature Publishing Group
Park, Juyong; Lee, Deok-Sun; Christakis, Nicholas A.; and Barabási, Albert-László, "The impact of cellular networks on disease comorbidity" (2009). Physics Faculty Publications. Paper 109. http://hdl.handle.net/2047/d20000682
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