Governor’s Vision Conference on Personalized Medicine
December 6, 2006
Stephen M. Prescott M.D.
What is “Personalized Medicine”?
Multiple names for similar concepts: •Predictive Medicine •Individualized Medicine •Information-based Medicine Common Goals: •Increase the efficacy of treatment •Minimize side effects •Improve cost-efficiency
The Need for Improved Therapeutics
• Estimated that in the United States alone each year adverse events account for – Over 100,000 deaths – More than 2 million hospitalizations • The effectiveness of prescribed medications ranges from 20-60%
Better diagnosis (e.g. with biomarkers) makes existing therapies safer
Everyone who receives a therapy is subject to an adverse event, but only a minority benefit If you can predict the responders, you achieve all of the benefit with fewer adverse events
Predicting Responsiveness Improves the Overall Outcome of Treatment
Responder
Nonresponder
Patients with same Diagnosis
Predicting Adverse Events Improves the Outcome Even More
No Toxicity
Toxic effect Responder
Components of Personalized Medicine
Host (patient)
Favorable Response or Side Effect
Treatment
Disease Tissue (target)
Is it Real or “Academic”
March 2005 – FDA Issues final Pharmacogenomics Guidelines
“Pharmacogenomics is a new field, but we intend to do all we can to use it to promote the development of medicines.” - Former FDA Commissioner Mark B. McClellan, M.D., Ph.D.
Business Week Magazine
“If Amgen could figure out which genes trigger the positive response [to a drug] it might be able to identify a test to identify those patients… and market more precisely, thus lowering costs and boosting sales and profits” - Roger Perlmutter, M.D., V.P., Research and Development, Amgen
They’re Already on the Internet!
Why a Genetic Approach is Warranted
Disease
Heart Disease Cancer Stroke Lower Respiratory Disease Adverse Drug Reactions (est) Diabetes
# of Deaths*
696,947 557,271 162,672 124,816 106,000 73,249
Genetic Susceptibility?
Yes Yes Yes Yes Yes Yes
*National Vital Statistics Reports, Vol. 53, No. 17, March 7, 2005
Why Utah?
Demographic/epidemiological record already
exists (“GeNetwork”) No other population will have a genetic structure Powerful for discovery of mechanism
Gene-environment interactions
Unparalleled Discovery Assets
Quebec (Galileo) Iceland (deCODE)
Utah (LineaGen)
Wisconsin (Marshfield)
Estonia (EGeen)
UK (UK BioBank)
Key advantages of Utah’s Assets Most extensive genetic records Extensively integrated medical records Largest research institution
Inherited Disorder
Colon Cancer (Familial Adenomatous Polyposis Coli) Neurofibromatosis Breast Cancer Melanoma Cardiac arrhythmias (Long QT Syndrome)
Gene
APC NF-1 BRCA-1 BRCA-2 p16 KVLQT1 minK HERG MiRP1
Supravalvular Aortic Stenosis Alport Syndrome Hypertension Macular degeneration (Stargardt’s Disease) Ulnar-Mammary Syndrome
ELN COL45A5 XIB
AGT
ABCR TBX3
Williams Syndrome Porphyria Cutanea Tarda
Inflammatory Syndromes Chediak-Higashi Syndrome Neonatal Epilepsy Hyperkalemic Periodic Paralysis Paramyotonia Congenita Potassium Aggravated Myotonia Hypokalemic Periodic Paralysis Periodic Paralysis 3 Andersen’s Syndrome Frings Audiogenic Epilepsy Spinocerebellar Ataxia Type 7 Familial Advanced Sleep Phase Syndrome
LIMK1 URO-D
PAF-AH CHS-1 KCNQ2 KCNQ3 SCN4A SCN4A SCN4A CACNA1S KCNE3 KCNJ2 Mass1 SCA7 hPer2
Genetic Disorders in Which Molecular Basis Was Discovered at the University of Utah
GeNetwork
A dynamic linkage of genealogic, demographic, genetic, and clinical information to support medical research at the University of Utah
Utah Population Database 6.5 MM Persons (UPDB)
The Utah Population Database
• • • Over 16 million records Utah and surrounding states Allows either a population or genetic approach simultaneously
The Utah Population Database
• • • • • • Over 16 million records Utah and surrounding states Allows either a population or genetic approach simultaneously Large pedigrees enable genetics Relational databases with powerful bioinformatics analytical tools 25 year record of ethical management
The Integration of Data is Dynamic and Continuous
Genealogy Records (1.6 million) Birth Records (2.1 million) Cancer Records (340,000) Death Records (707,000) Drivers Licenses (2.77 million)
Marriage & Divorce (784,000)
Hospital Clinical Records (>12 million)
Comprehensive Medical Records
Utah Population Database 6.5 MM Persons (UPDB)
Millions of Medical Records (HSC)
Comprehensive Medical Records
Outpatient Information • ICD9 Diagnoses • Medical History Laboratory Results • Radiology • Pathology
Pharmacy Data
>1 million person medical records have been linked into GeNetwork
Deep Phenotypic and Genotypic Data
Phenotype & Genotype Data on Utah Families (UGRP)
Utah Population Database 6.5 MM Persons (UPDB)
Millions of Medical Records (HSC)
Utah Genetic Reference Project
• Uses original reference families for the Genome Project – 47 families, 3 generations from Utah so-called “CEPH” set of DNA
• Study of the genetic basis of quantitative traits • Emphasis on medically relevant traits
4 Grandparents
2 Parents
8 or More Children
Detailed Exams (“Poke and Probe”)
• Blood pressure, body temperature, resting pulse • Height and weight measurement • Handedness • BMI, height, weight, body fat measurement • EKG • Assay of skin melatonin • Attention test: T.O.V.A • Anthropometric measurements • Voice pitch • Eye exam • Audiometry • Dental exam • Review of medical records, supine blood pressure, resting pulse • Bone density and mineral content, indirect muscle mass measurements • Taste • Smell • Pitch • Pulmonary Function • Echocardiogram • Serum/plasma reference set for biochemical measurements
Extensive Examinations
16 samples donated by each family member are shared among many researchers
Patient –Oriented Research Clinics
Autoimmune Disorders • Psoriasis • Rheumatoid Arthritis • Multiple Sclerosis Respiratory Disorders • COPD • Asthma Neurological Disorders • Epilepsy • Autism Metabolic Disorders • Osteoporosis • Type II Diabetes
• Thought Leaders • Detailed longitudinal records • Biosamples
Many others…
Research Programs: Data & Biosamples
Phenotype & Genotype Data on Utah Families (UGRP)
Utah Population Database 6.5 MM Persons (UPDB)
Clinical Trials Infrastructure
Millions of Medical Records (HSC)
Identified Novel Genetic Locus W/O a Single Experiment Mine UGRP Pedigrees for Psoriasis (3)
Link to central database
Families Enlarged
14-fold
How GeNetwork Enables Discovery
Utah Psoriasis Initiative
Lung Disease Research Clinics
Hospital & Clinic records
Utah Cancer Registry (SEER)
Melanoma Research Clinic
Population database
Microarray Facility Adverse Events Registry
Genetics Reference Project
Broad Partnerships
Research Repositories: Data & Biosamples
Phenotype & Genotype Data on Utah Families (UGRP)
Utah Population Database 6.5 MM Persons (UPDB)
Clinical Trials Infrastructure Non-Profit
Millions of Medical Records (HSC)
Corporate Partners
Integrated Clinical Network
Autoimmune Dx Discovery
Therapeutic Target Discovery
COPD Biomarker Discovery
Governor’s Vision Conference on Personalized Medicine
December 6, 2006
Stephen M. Prescott M.D.