Stephen Friend Berlin9 2011-11-10

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Stephen Friend, Nov 10, 2011. Berlin9, Washington, DC

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Stephen Friend Berlin9 2011-11-10

  1. 1. gd oi Nw nn o e ae w
  2. 2. Reality: Overlapping Pathways
  3. 3. The value of appropriate representations/ maps
  4. 4. WHY  NOT  USE     “DATA  INTENSIVE”  SCIENCE  TO  BUILD  BETTER  DISEASE  MAPS?  
  5. 5. what will it take to understand disease?                    DNA    RNA  PROTEIN  (dark  maHer)    MOVING  BEYOND  ALTERED  COMPONENT  LISTS  
  6. 6. 2002 Can one build a “causal” model?
  7. 7. (Eric Schadt)
  8. 8. We still consider much clinical research as if we we hunter gathers! not sharing - .
  9. 9. Clinical/genomic data are accessible but minimally usableLittle incentive to annotate and curate data for other scientists to use
  10. 10. Mathematicalmodels of disease are not built to be reproduced orversioned by others
  11. 11. Assumption that genetic alterationsin human conditions should be owned
  12. 12. Lack of standard forms for future rights and consentss
  13. 13. sharing as an adoption of common standards.. Clinical Genomics Privacy IP
  14. 14. Publication Bias- Where can we find the (negative) clinical data?
  15. 15. Sage Mission Sage Bionetworks is a non-profit organization with a vision to create a commons where integrative bionetworks are evolved by contributor scientists with a shared vision to accelerate the elimination of human diseaseBuilding Disease Maps Data RepositoryCommons Pilots Discovery Platform Sagebase.org
  16. 16. Sage Bionetworks Collaborators  Pharma Partners   Merck, Pfizer, Takeda, Astra Zeneca, Amgen, Johnson &Johnson  Foundations   Kauffman CHDI, Gates Foundation  Government   NIH, LSDF  Academic   Levy (Framingham)   Rosengren (Lund)   Krauss (CHORI)  Federation   Ideker, Califarno, Butte, Schadt 19
  17. 17. sage bionetworks synapse project Watch What I Do, Not What I Say Reduce, Reuse, Recycle My Other Computer is Amazon Most of the People You Need to Work with Don’t Work with You
  18. 18. M e ogn g ow gd oi Nnoi g e e own wgi A M S FOR MAP i   ow PLAT ow i nn i o g EW N RULES GOVERN
  19. 19. CTCAP  Clinical Trial Comparator Arm Partnership “CTCAP”Strategic Opportunities For Regulatory Science Leadership and Action FDA September 27, 2011
  20. 20. Shared clinical/genomic data sharing and analysis will maximize clinical impact and enable discovery•  Graphic  of  curated  to  qced  to  models  
  21. 21. Arch2POCM  Restructuring  the  PrecompePPve   Space  for  Drug  Discovery   How  to  potenPally  De-­‐Risk       High-­‐Risk  TherapeuPc  Areas  
  22. 22. The  FederaPon  
  23. 23. sage federation:model of biological age Faster Aging U M i l r i nnowS Slower Aging e Clinical Association -  Gender -  BMI g -  Disease Age Differential Genotype Association Gene Pathway Expression i i owoe o e U i nS B
  24. 24. Sage  Congress  Project   April  20  2012   RA   Parkinson’s   Asthma  (Responders  CompePPons)  
  25. 25. Actionable Cancer Network ModelsAnd Open Medical Information Systems

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