TY - JOUR
T1 - The impact of cellular networks on disease comorbidity
AU - Park, Juyong
AU - Lee, Deok Sun
AU - Christakis, Nicholas A.
AU - Barabási, Albert László
PY - 2009/1/20
Y1 - 2009/1/20
N2 - 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.
AB - 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.
KW - Cellular networks
KW - Comorbidity
KW - Database
KW - Population-level statistics
UR - http://www.scopus.com/inward/record.url?scp=64349109427&partnerID=8YFLogxK
U2 - 10.1038/msb.2009.16
DO - 10.1038/msb.2009.16
M3 - Article
C2 - 19357641
AN - SCOPUS:64349109427
SN - 1744-4292
VL - 5
JO - Molecular Systems Biology
JF - Molecular Systems Biology
M1 - 262
ER -