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The impact of cellular networks on disease comorbidity
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-...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2683720/ https://www.ncbi.nlm.nih.gov/pubmed/19357641 http://dx.doi.org/10.1038/msb.2009.16 |
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author | Park, Juyong Lee, Deok-Sun Christakis, Nicholas A Barabási, Albert-László |
author_facet | Park, Juyong Lee, Deok-Sun Christakis, Nicholas A Barabási, Albert-László |
author_sort | Park, Juyong |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2683720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-26837202009-05-18 The impact of cellular networks on disease comorbidity Park, Juyong Lee, Deok-Sun Christakis, Nicholas A Barabási, Albert-László Mol Syst Biol Report 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. Nature Publishing Group 2009-04-07 /pmc/articles/PMC2683720/ /pubmed/19357641 http://dx.doi.org/10.1038/msb.2009.16 Text en Copyright © 2009, EMBO and Nature Publishing Group |
spellingShingle | Report Park, Juyong Lee, Deok-Sun Christakis, Nicholas A Barabási, Albert-László The impact of cellular networks on disease comorbidity |
title | The impact of cellular networks on disease comorbidity |
title_full | The impact of cellular networks on disease comorbidity |
title_fullStr | The impact of cellular networks on disease comorbidity |
title_full_unstemmed | The impact of cellular networks on disease comorbidity |
title_short | The impact of cellular networks on disease comorbidity |
title_sort | impact of cellular networks on disease comorbidity |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2683720/ https://www.ncbi.nlm.nih.gov/pubmed/19357641 http://dx.doi.org/10.1038/msb.2009.16 |
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