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Genomics in Society: Genomics, Cellular Networks, Preventive Medicine, and Society Guest Lecture to UCSD Medical and Pharmaceutical Students Foundations of Human Biology--Lecture #41 UCSD October 6, 2010 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor,  Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD Follow me on Twitter: lsmarr
Required Reading ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genetics and Society Learning Objectives ,[object Object],[object Object],[object Object],[object Object]
Genetics and Society Learning Objectives ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Genomics is Only One Component  for Living a Long Healthy Life I am an invited speaker this weekend at: http://lifeextensionconference.com/ We Will Examine All These
Genetics, Disease, and Society: Inherited Genetics Plus Environmental Variables Most human disease  results from a  combination  of  inherited genetic variations  and  environmental factors  (such as lifestyle, social conditions, chemical exposures, and infections).  Thanks to the genome-based tools now available to public health researchers, we can study how and where disease occurs in populations and families using biological markers (e.g., genes) that can help identify exposures, susceptibilities, and effects. www.cdc.gov/genomics/population/
Genomics Plays a Role in 9 of the 10 Leading Causes of Death in the U.S., most Notably Cancer & Heart Disease www.cdc.gov/genomics/public/index.htm
Leading Causes of Preventable Deaths in  the United States in the Year 2000 Mokdad AH, Marks JS, Stroup DF, Gerberding JL (March 2004).  "Actual causes of death in the United States, 2000". JAMA 291 (10): 1238–45. doi:10.1001/jama.291.10.1238. PMID 15010446. www.csdp.org/research/1238.pdf.  1/3 of Deaths
Wireless, Clinical, and Home Technologies to Measure & Improve Lifestyle and Other Health-Related Behaviors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Center for Wireless & Population Health Systems
Center for Wireless & Population Health Systems: Cross-Disciplinary Collaborating Investigators ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://cwphs.ucsd.edu
Center for Wireless & Population Health Systems: Integrative View to Support Interventions Genetic &  Biological Factors Interpersonal & Psychosocial Factors Environmental/Ecological Factors Medical & Exercise Sciences Behavioral & Social Sciences Environment, Population  & Policy Sciences
Center for Wireless &Population Health Systems: Developing and Testing Engineering-Based Solutions Interpersonal & Psychosocial Factors NanoTech, Drug Delivery,  Sensors, Body Area  Networks (BANs) BAN-to-Mobile-to-Database, SMS/MMS Social networks Ubicomp, Location-Aware Services, Data Mining,  Systems Sciences  Genetic &  Biological Factors Environmental/Ecological Factors
Center for Wireless &Population Health Systems:  Mainly, It’s All About Sensors Psychological & Social sensors Biological sensors Diet & Physical Activity sensors Air quality (particulate, ozone, etc) Temperature, GPS, Sound, Video, Other devices & embedded sensors BP, Resp, HR, Blood (e.g. glucose, electrolytes, pharmacological, hormone), Transdermal, Implants Mood, Social network (peers/family) Attention, voice analysis Physical activity (PAEE, type), sedentary Posture/orientation, diet intake (photo/bar code) Wearable Environmental sensors Sensor data + Clinical & Personal Health Record Data +  Ecological data on  determinants of health + Analysis & comparison of  parameters in near-real time  (normative and ipsative)  + Sufficient population-level data to comprehend trends,  model them and predict health outcomes + Feedback in near real-time via SMS, audio, haptic or other cues for behavior or  change in Rx device = True Preventive Medicine! Sensors embedded in the environment Geocoded data on safety, location of recreation, food, hazards, etc
Measuring the State of Your Body:  Learning  to “Tune” Your Body Using Nutrition and Exercise www.xconomy.com/san-diego/2010/05/12/how-internet-pioneer-larry-smarr-lost-20-pounds-by-becoming-a-quantified-self/ 2000 2010
Wireless Sensors Allow Your Body  to Become an Internet Data Source ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],www.bodymedia.com 2001 Slide Larry Smarr Calit2 Digitally Enabled Genomic Medicine
Nine Years Later I Am Recording My Metabolic Self 7 Week Ave:  2550 Calories Burned/Day  1:31 hr Physical Activity/Day (>3 METs) 7755 Steps/Day (~3.9 Miles) Measure Quantity and Quality of Sleep-- 7 Week Ave:  6:55 hrs with 81% Efficiency www.bodymedia.com
Analyzing Your Food Intake is Critical  for“Tuning” Your Body 12 Day Average
The Impact on Personal Health from  Nutrition, Exercise, Stress Management
Measuring Key Molecules in the Blood  Provides Longer Term Biofeedback Source: Ramesh Rao, Calit2
CitiSense: Air Pollution Case Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
CitiSense - Seacoast Sci. 4oz 30 compounds CitiSense Team PI: Bill Griswold Ingolf Krueger Tajana Simunic Rosing Sanjoy Dasgupta Hovav Shacham Kevin Patrick C/A L S W F CitiSense contribute distribute sense “ display” discover retrieve EPA Intel MSP
Lifechips--Merging Two Major Industries:  Microelectronic Chips & Life Sciences LifeChips:  the merging of two major industries, the microelectronic chip industry with the life science industry LifeChips medical devices 65 UCI Faculty
Genomics, Proteomics, and Cellular Networks: Building a Genome-Scale Model of E. Coli  in Silico ,[object Object],[object Object],[object Object],Source:  Bernhard Palsson UCSD Genetic Circuits Research Group http://gcrg.ucsd.edu JTB 2002 JBC 2002 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Integrating Systems Biology Data:  Cytoscape ,[object Object],[object Object],[object Object],www.cytoscape.org
Research in the UCSD Ideker  Systems Biology Lab Validation of Transcriptional Interactions With Causal or Functional Links Network Based Study of Disease Network Assembly  from Genome-Scale Measurements Network Evolutionary Comparison / Cross-Species Alignment to Identify Conserved Modules Projection of Molecular Profiles on Protein Networks to Reveal Active Modules Alignment of Physical and Genetic Networks Network-Based Rationale Drug Design Network-Based Disease Diagnosis / Prognosis Moving from Genome-wide Association Studies (GWAS) to Network-wide “Pathway” Association (PAS)
Predictive, Personalized, Preventive,  & Participatory Medicine www.newsweek.com/2009/06/26/a-doctor-s-vision-of-the-future-of-medicine.html
Source: Lee Hood, ISB
Use Biology to Drive Technology and Computation.  Need to Create a Cross-disciplinary Culture Source: Lee Hood, ISB
Disease Arises from Perturbed Cellular Networks: Dynamics of a Prion Perturbed Network in Mice Source: Lee Hood, ISB
Increasing Abundance of Protein A  for Prion-Infected Blood Samples Source: Lee Hood, ISB
Current Medical Care Relies on “Symptoms,”  Not Preventive Quantitative Measurements “ Come Back When You Have a Symptom” Acute Diverticulitus Invisible War Antibiotics
Organ-Specific Blood Proteins Will Make the Blood a Window into Health and Disease ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Key Point: Changes in The Levels Of  Organ-Specific Markers Can Assess Virtually All Disease Challenges for a Particular Organ Source: Lee Hood, ISB
The Rise of Individual and Societal Genomic Testing-Promise and Concerns www.technologyreview.com/biomedicine/25218/
Single Nucleotide Polymophisms (SNPs) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],www.ornl.gov/sci/techresources/Human_Genome/faq/snps.shtml#snps
The Promise and Controversy of  Personal SNP Genomics www.mercurynews.com/business/ci_15580695
Risk of Disease Results From SNPs Mainly Reveal Average Risks – Are They Consistent? You: 1.7% Avg. 3.0% You: 14.7% Avg. 23.7% You: 22.4% Avg. 11.4%
However, SNP Indications of Adverse Drug Side Effects May Be Quite Useful Increased Risk Greatly Increased Risk I Would Definitely Not Take Either!
The Cost for Full Human Genome Sequencing  is Exponentially Decreasing  http://blogs.forbes.com/sciencebiz/2010/06/03/your-genome-is-coming/
The Promise of Whole Genome Sequencing  Combined with Family Testing ,[object Object],[object Object],[object Object],[object Object],www.sciencemag.org/cgi/content/abstract/328/5978/636?rss=1
Should You Keep Your Health Data Private  or Share to Gain the Most Knowledge?

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Genomics in Society: Genomics, Cellular Networks, Preventive Medicine, and Society

  • 1. Genomics in Society: Genomics, Cellular Networks, Preventive Medicine, and Society Guest Lecture to UCSD Medical and Pharmaceutical Students Foundations of Human Biology--Lecture #41 UCSD October 6, 2010 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD Follow me on Twitter: lsmarr
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Genomics is Only One Component for Living a Long Healthy Life I am an invited speaker this weekend at: http://lifeextensionconference.com/ We Will Examine All These
  • 7. Genetics, Disease, and Society: Inherited Genetics Plus Environmental Variables Most human disease results from a combination of inherited genetic variations and environmental factors (such as lifestyle, social conditions, chemical exposures, and infections). Thanks to the genome-based tools now available to public health researchers, we can study how and where disease occurs in populations and families using biological markers (e.g., genes) that can help identify exposures, susceptibilities, and effects. www.cdc.gov/genomics/population/
  • 8. Genomics Plays a Role in 9 of the 10 Leading Causes of Death in the U.S., most Notably Cancer & Heart Disease www.cdc.gov/genomics/public/index.htm
  • 9. Leading Causes of Preventable Deaths in the United States in the Year 2000 Mokdad AH, Marks JS, Stroup DF, Gerberding JL (March 2004). "Actual causes of death in the United States, 2000". JAMA 291 (10): 1238–45. doi:10.1001/jama.291.10.1238. PMID 15010446. www.csdp.org/research/1238.pdf. 1/3 of Deaths
  • 10.
  • 11.
  • 12. Center for Wireless & Population Health Systems: Integrative View to Support Interventions Genetic & Biological Factors Interpersonal & Psychosocial Factors Environmental/Ecological Factors Medical & Exercise Sciences Behavioral & Social Sciences Environment, Population & Policy Sciences
  • 13. Center for Wireless &Population Health Systems: Developing and Testing Engineering-Based Solutions Interpersonal & Psychosocial Factors NanoTech, Drug Delivery, Sensors, Body Area Networks (BANs) BAN-to-Mobile-to-Database, SMS/MMS Social networks Ubicomp, Location-Aware Services, Data Mining, Systems Sciences Genetic & Biological Factors Environmental/Ecological Factors
  • 14. Center for Wireless &Population Health Systems: Mainly, It’s All About Sensors Psychological & Social sensors Biological sensors Diet & Physical Activity sensors Air quality (particulate, ozone, etc) Temperature, GPS, Sound, Video, Other devices & embedded sensors BP, Resp, HR, Blood (e.g. glucose, electrolytes, pharmacological, hormone), Transdermal, Implants Mood, Social network (peers/family) Attention, voice analysis Physical activity (PAEE, type), sedentary Posture/orientation, diet intake (photo/bar code) Wearable Environmental sensors Sensor data + Clinical & Personal Health Record Data + Ecological data on determinants of health + Analysis & comparison of parameters in near-real time (normative and ipsative) + Sufficient population-level data to comprehend trends, model them and predict health outcomes + Feedback in near real-time via SMS, audio, haptic or other cues for behavior or change in Rx device = True Preventive Medicine! Sensors embedded in the environment Geocoded data on safety, location of recreation, food, hazards, etc
  • 15. Measuring the State of Your Body: Learning to “Tune” Your Body Using Nutrition and Exercise www.xconomy.com/san-diego/2010/05/12/how-internet-pioneer-larry-smarr-lost-20-pounds-by-becoming-a-quantified-self/ 2000 2010
  • 16.
  • 17. Nine Years Later I Am Recording My Metabolic Self 7 Week Ave: 2550 Calories Burned/Day 1:31 hr Physical Activity/Day (>3 METs) 7755 Steps/Day (~3.9 Miles) Measure Quantity and Quality of Sleep-- 7 Week Ave: 6:55 hrs with 81% Efficiency www.bodymedia.com
  • 18. Analyzing Your Food Intake is Critical for“Tuning” Your Body 12 Day Average
  • 19. The Impact on Personal Health from Nutrition, Exercise, Stress Management
  • 20. Measuring Key Molecules in the Blood Provides Longer Term Biofeedback Source: Ramesh Rao, Calit2
  • 21.
  • 22. CitiSense - Seacoast Sci. 4oz 30 compounds CitiSense Team PI: Bill Griswold Ingolf Krueger Tajana Simunic Rosing Sanjoy Dasgupta Hovav Shacham Kevin Patrick C/A L S W F CitiSense contribute distribute sense “ display” discover retrieve EPA Intel MSP
  • 23. Lifechips--Merging Two Major Industries: Microelectronic Chips & Life Sciences LifeChips: the merging of two major industries, the microelectronic chip industry with the life science industry LifeChips medical devices 65 UCI Faculty
  • 24.
  • 25.
  • 26. Research in the UCSD Ideker Systems Biology Lab Validation of Transcriptional Interactions With Causal or Functional Links Network Based Study of Disease Network Assembly from Genome-Scale Measurements Network Evolutionary Comparison / Cross-Species Alignment to Identify Conserved Modules Projection of Molecular Profiles on Protein Networks to Reveal Active Modules Alignment of Physical and Genetic Networks Network-Based Rationale Drug Design Network-Based Disease Diagnosis / Prognosis Moving from Genome-wide Association Studies (GWAS) to Network-wide “Pathway” Association (PAS)
  • 27. Predictive, Personalized, Preventive, & Participatory Medicine www.newsweek.com/2009/06/26/a-doctor-s-vision-of-the-future-of-medicine.html
  • 29. Use Biology to Drive Technology and Computation. Need to Create a Cross-disciplinary Culture Source: Lee Hood, ISB
  • 30. Disease Arises from Perturbed Cellular Networks: Dynamics of a Prion Perturbed Network in Mice Source: Lee Hood, ISB
  • 31. Increasing Abundance of Protein A for Prion-Infected Blood Samples Source: Lee Hood, ISB
  • 32. Current Medical Care Relies on “Symptoms,” Not Preventive Quantitative Measurements “ Come Back When You Have a Symptom” Acute Diverticulitus Invisible War Antibiotics
  • 33.
  • 34. The Rise of Individual and Societal Genomic Testing-Promise and Concerns www.technologyreview.com/biomedicine/25218/
  • 35.
  • 36. The Promise and Controversy of Personal SNP Genomics www.mercurynews.com/business/ci_15580695
  • 37. Risk of Disease Results From SNPs Mainly Reveal Average Risks – Are They Consistent? You: 1.7% Avg. 3.0% You: 14.7% Avg. 23.7% You: 22.4% Avg. 11.4%
  • 38. However, SNP Indications of Adverse Drug Side Effects May Be Quite Useful Increased Risk Greatly Increased Risk I Would Definitely Not Take Either!
  • 39. The Cost for Full Human Genome Sequencing is Exponentially Decreasing http://blogs.forbes.com/sciencebiz/2010/06/03/your-genome-is-coming/
  • 40.
  • 41. Should You Keep Your Health Data Private or Share to Gain the Most Knowledge?