Transcript Slide 1

The Human Phenotypic
Disease Network
Cesar A. Hidalgo
Center for Complex Network Research,
University of Notre Dame / Northeastern University
Collaborators
Nicholas Christakis
Laurie Meneades
Jason Block
Dept. of Health Policy,
Harvard Medical School
Christine Teutsch
Massachusetts General Hospital
Harvard Medical School
Laszlo Barabasi
Nicholas Blumm
Deok-Sun Lee
J Park
Center for Network Science,
Northeastern University
Some Diseases are known to be related
There are no single causes for each disease
Obesity
ENPP1
Ectonuclide
Pyrophosphate
Phosphodiesterase 1
Diabetes
HFCS
High Fructose
Corn Syrup
SLS
Sedentary
Life Style
Determining causes is labor and capital intensive
Disease 1
Disease 2
Disease 1
Disease 2
Affect Same Individuals
Significantly more than Random
Building a Net
N
Disease1 C12
Disease2
P1
ij 
P2
Cij N  Pi Pj
Pi Pj ( N  Pi )( N  Pj )
~ 13’039’018 patients
58.3% females,
90.1% white
7.5% black
~ 32’341’348 records
(hospitalizations)
Up to 10 diagnosis (from ~950 cat (3digit) / ~14000 (5digit) )
Disease 1
Disease 2
CHF
CONCLUSIONS
• We introduced the concept of a phenotypic
disease network.
• This network can be used to help explore life
cycle strategies for drug companies and
hospital design.
• This network can be used to perform
comparative studies.
• Ultimately, the goal is to help determine disease
ontology based on their comorbidity patterns
http://www.nd.edu/~chidalgo
Or Google: CA Hidalgo
http://www.nd.edu/~networks
Or Google: CCNR