Genomic Medicine Program An Overview Ronald Przygodzki, MD Assoc. Director, Genomic Medicine Acting Director, BLR - PowerPoint PPT Presentation

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Genomic Medicine Program An Overview Ronald Przygodzki, MD Assoc. Director, Genomic Medicine Acting Director, BLR

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Director, American College of Medical Genetics ... MD, Prof.& Chair of Biomedical Informatics, Vanderbilt University ... Genetic-association, pharmacogenomics ... – PowerPoint PPT presentation

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Title: Genomic Medicine Program An Overview Ronald Przygodzki, MD Assoc. Director, Genomic Medicine Acting Director, BLR


1
Genomic Medicine ProgramAn OverviewRonald
Przygodzki, MDAssoc. Director, Genomic
MedicineActing Director, BLRD
2
VA Genomic Medicine Program
  • In 2006, the Department of Veterans Affairs
    launched the Genomic Medicine Program
  • to examine the potential of emerging genomic
    technologies
  • to optimize medical care for veterans
  • to enhance the development of tests and
    treatments for relevant diseases

3
Implementation
  • As a first step, the Secretary established a
    distinguished 13-member Genomic Medicine Program
    Advisory Committee (GMPAC), a FACA committee, to
    lay the groundwork for the program
  • Members include leaders in the fields of genetics
    research and medical genetics, genomic
    technology, health information technology,
    healthcare delivery, policy, program
    administration, legal counsel they come from the
    public and private sectors and academia
    representative of a VSO

4
GMPAC Members
  • Wayne Grody, MD, PhD (Chair), Professor
    Director of Molecular Pathology Laboratory, UCLA
  • Michael S. Watson, PhD, FACMG, Exe. Director,
    American College of Medical Genetics
  • Geoffrey S. Ginsburg, MD, PhD, Director, Center
    for Genomic Medicine, Duke University
  • Muin J. Khoury, MD, PhD Director, NOPHG, CDC
  • Daniel R. Masys, MD, Prof. Chair of Biomedical
    Informatics, Vanderbilt University
  • Jonathan B. Perlin, MD, PhD, MSHA, FACP, CMO and
    Senior Vice-President, HCA Healthcare
  • Margaret McGovern, MD, PhD, Prof. Human Genetics
    at Mount Sinai
  • Peter G. Traber, MD, President CEO, Baylor
    College of Medicine
  • Annette Taylor, MS, PhD, President, Director,
    Founder, Kimball Genetics
  • Brion C. Smith, Col USA (Ret.) DDS, DOD Defense
    DNA Registry
  • David S. Gorman, Exe. Director, Disabled Veterans
    of America
  • Christine Q. Burtt, President CQB Associates,
    Denver, CO

5
Veteran Consultation Project
  • In 2007, VA launched a consultation project to
    assess veterans knowledge and attitudes about
    genomic medicine
  • Interagency agreement with NHGRI and conducted
    under a cooperative agreement by the Genetics
    and Public Policy Center (GPPC) at Johns Hopkins
    University
  • PI Kathy Hudson
  • Focus Groups, Pilot, and Survey

6
Assessing Veterans Attitudes About the Genomic
Medicine Program
  • 10 focus groups in five locations of diverse
    participants during fall of 2007
  • Solicit a wide range of perspectives
  • Identify themes and issues
  • Survey of 931 participants spring of 2008
  • To test themes and messages from focus groups
  • Paper describing findings in press in the journal
    Genetics in Medicine

7
Survey Overview
  • Fielded 4/24/08 5/5/08
  • KN web-enabled panel
  • Served in military, 4,193
  • no longer active
  • Responses 3,076
  • Response rate 73
  • Qualified (receive 931
  • care through VA)
  • Qualification rate 30

8
Survey Overview
  • Median time 20 minutes
  • Description and schema of Genomic Medicine
    Program, to which participants could hyperlink
    back
  • 80 items
  • 67 items about the program, level of support,
    benefits and concerns, design aspects, and
    willingness to participate
  • 13 items about military service, healthcare and
    use of VA services

9
Survey Overview
  • In analyses, data are weighted to the VA
    population demographics for
  • Gender
  • Race/Ethnic background
  • Age
  • Education
  • Region

10
Do you agree or disagree with the following
statement I am satisfied with the health care
that I receive through the VA.
Strongly Agree
Strongly Disagree
Disagree
Agree
Confidential. N931. Weighted. GPPC 2008
11
(Immediately following description) Based on what
youve just learned, do you think the Genomic
Medicine Program should be done?
Now that youve had a chance to think more about
the Genomic Medicine Program, do you think it
should be done?
Confidential. N931. Weighted. GPPC 2008
12
Based on what you know today, would you
participate in the Genomic Medicine Program if
you were asked?
Confidential. N931. Weighted. GPPC 2008
13
Comparison of willingness to participate for
large genetic cohort studies by demographic
group VA vs. US
Confidential. N931. Weighted. GPPC 2008
14
Demographics Associated with Willingness to
Participate
  • Among African Americans (n93), the predictors of
    willingness to participate were strongly
    associated with
  • Satisfaction with care at the VA
  • Donating blood in the last 5 years

Confidential. N931. Weighted. GPPC 2008
15
When thinking about participating in the program,
do you agree or disagree with the following
statements?
Disagree
Agree
Participating would make me feel like a guinea
pig
37
63
I would be concerned info could be used against
me
48
52
I would be concerned about govt having my samples
50
50
Participating would be easy
22
78
Participating would make me feel I was helping
veterans
83
17
I am curious about the influence of genes on
health
14
86
Confidential. N931. Weighted. GPPC 2008
16
In deciding whether to participate or not, how
important would the following be to you?
  • Receiving information about my health
  • Knowing what kind of research being done using
    the database
  • Knowing who to go to with a question or complaint
  • Having my privacy protected
  • Having a mechanism to change my mind and withdraw
    my sample and information at a later time
  • Monetary compensation for my time

96 95 94 93 86 60
Confidential. N931. Weighted. GPPC 2008
17
Keeping a Key
  • Participants were given two ways data could be
    maintained - with a key linking name and number
    so that info could be updated and participants
    contacted or without a key so participants could
    not be identified or contacted or data updated
  • 75 said a key should be kept

Confidential. N931. Weighted. GPPC 2008
18
Assume research done in a certified lab. In
thinking about individual research results, which
would you prefer?
I would want to know all of my individual
research results
90
10
I would want to choose which individual research
results I would get back
69
31
I do not care if I get any individual research
results
83
17
I would not want any of my individual research
results
88
12
Confidential. N931. Weighted. GPPC 2008
19
Privacy-related questions
Having my privacy protected is important to me
7
93
I would be concerned info could be used against
me
48
52
I would be concerned about govt having my info
and samples
50
50
Confidential. N931. Weighted. GPPC 2008
20
Information from VA medical records that should
not be included
  • Social security number 52
  • Sexual behavior 17
  • Sexual trauma 14
  • Mental illness information 10
  • Reproductive history 9
  • Drug or alcohol abuse 8
  • HIV infection or AIDS diagnosis 6
  • Cancer diagnosis 5
  • None of the above 40

Confidential. N931. Weighted. GPPC 2008
21
In thinking about the consent you would give
would you prefer to give your permission
At the beginning, for all research projects
For select categories of research
For each research project
Confidential. N931. Weighted. GPPC 2008
22
Do you think research should be allowed or
prohibited on
( allowed)
Cancer
Mental illness
PTSD
Alcoholism
Suscept. to env. exp.
Athletic ability
Stem cell research
Cloning
Confidential. N931. Weighted. GPPC 2008
23
Do you think the following types of researchers
outside of the VA should be able to use the GMP
db and samples?
No
Yes
US academic or medical centers
80
20
Other health-related govt. agencies
30
70
US pharmaceutical companies
46
54
Academic or medical centers in other countries
57
43
Confidential. N931. Weighted. GPPC 2008
24
If you were a participant, how important would
the following be to you?
  • Serious consequences for researchers who violate
    my research agreement
  • VA have safeguards to protect information from
    misuse and disclosure
  • There would be a research agreement signed by
    researchers and participants
  • It would be illegal for insurers and employers to
    get my information
  • It would be illegal for law enforcement to get my
    information

98 98 97 95 87
Confidential. N931. Weighted. GPPC 2008
25
Level of Participation
  • 83 said program should be done
  • 71 said they would participate
  • 61 also said they would
  • Attend a ½ day exam
  • Allow medical records from non-VA health care to
    be added to the database
  • Have follow up exams over time

Confidential. N931. Weighted. GPPC 2008
26
Summary
  • Participation associated with
  • Attitudes about research
  • Attitudes about helping and history of previous
    altruistic behaviors
  • Curiosity about genetics
  • Satisfaction with VA
  • Demographic differences

Confidential. N931. Weighted. GPPC 2008
27
  • The fact that they have people sitting around
    talking about this in advance of even starting to
    build it tells me that theyre paying
    attentionThis right here is oversight, you know,
    at the get-go. So I think that thats a really
    good thing and I think ultimately its going to
    be one more way that veterans give something from
    themselves to make this country better.
  • (Male, Mixed Group, DC)

28
Infrastructure Development
29
Infrastructure Development
  • DNA Bank/Biorepository (Boston VA)
  • About 30,000 blood samples collected as part of
    multi-site VA clinical trials (Cooperative
    Studies Program), with capacity for banking
    100,000 samples
  • 6000 DNA samples
  • RTS storage system and robotics
  • DNA Coordinating Center at Palo Alto VA (link to
    clinical information and data analysis)
  • Tissue repository (Tucson VA)
  • Brain collection, tissue blocks

30
Infrastructure Development (cont)
  • Established Pharmacogenomics Analysis Laboratory
    in Little Rock, AR
  • Clinical Laboratory Improvement Amendments (CLIA)
    certified research genomics laboratory
  • Illumina platform
  • Capillary-based analyses

31
Infrastructure Development
Boston, MA
Philadelphia, PA
Palo Alto,CA
Little Rock,AK
Tucson, AZ
32
Infrastructure Development (cont)
  • VA central institutional review board (IRB)
  • Reorganization of review for CSP DNA Bank
  • Review of proposals for banking DNA as well as
    use of banked DNA will be managed centrally
  • Genetics Subcommittee of Cooperative Studies
    Scientific Evaluation Committee (Genetics-CSSEC)
  • Review new multi-site genetic epidemiology
    proposals as well as proposals for use of banked
    DNA

33
Infrastructure Development (cont)
  • Development of educational programs and tools for
    physicians and other health professional
  • Collaboration between VA Employee Education
    Services and National Coalition for Health
    Professional Education in Genetics (NCHPEG)
  • Web-based tool for heritable colorectal cancer
  • Health-provider centric

34
Computer Infrastructure Development
  • GenISIS
  • Genomic Information System for Integrative
    Science
  • Louis Fiore, MD
  • VINCI
  • Veterans Informatics, Information Computing
    Infrastructure
  • Jonathan Nebeker, MS MD

35
GenISIS
36
GenISIS
Current Research Paradigm
37
Emerging Model
Current Model
  • Comprehensive data collection and retention
  • Data analyses
  • Hypothesis generation (and validation)
  • Interdisciplinary (Team science)
  • Reuse of data
  • Hypothesis testing
  • Discipline-driven
  • Targeted data collection
  • Single use of owned data in silos

38
Why GenISIS?
  • Mission to enhance health care for veterans
    through personalized medicine
  • Culture of research participation and
    affiliations
  • Intramural funding with retained control of
    research artifacts
  • A secure intranet and centralized administration
  • Network of Medical Centers and CBOCs
  • Robust national eHR and eCRF systems
  • Data warehousing initiatives (VINCI)
  • Longitudinal data availability
  • Expanding biorepository capacity

39
GenISIS Vision Statement
  • Short Term (Research focused)
  • To create and support a knowledge base that will
    facilitate independent research projects and
    allow for collaborative repurposing of data and
    results.
  • Long Term (Patient care focused)
  • Integration of clinical care and research
    activities for improved patient outcomes and
    research efficiencies

40
GenISIS
  • GWAS data expected from 50,000 subjects enrolled
    in VA CSP studies currently in planning or funded
  • Schizophrenia
  • Bipolar disease
  • PTSD
  • ALS (funded)

41
GenISIS
  • Securely gather, integrate, and analyze patient
    information
  • Facilitate discovery research through shared
    expertise
  • Repurpose data and results for secondary analyses
  • Validate genomic medicine findings
  • Integrate findings into clinical medicine

42
GenISIS
Database, Query Interface, Analysis Environment,
Governance
43
GenISIS
  • In the absence of a new computational
    infrastructure and overarching policy from ORD,
    investigators generating these data are expecting
    to follow academic and industry models of data
    use.
  • Leading to
  • Silos of data storage and analysis on servers
    outside of the VA firewall
  • Fewer scientific discoveries
  • Lower return on research investment
  • Loss of opportunity to develop VA expertise
  • Loss of opportunity to integrate with VistA

44
VINCI
45
VINCI Mission Vision
  • To serve the Consortium for Healthcare
    Informatics Research (CHIR) and eventually the
    greater VA research community by providing
    information technology and services that minimize
    the risk of veterans data loss and improve
    appropriate access to and use of veterans data.
  • To become VA researchers preferred data source
    and data-processing environment within 4 years.

46
VINCI Objectives
  • Integrate existing data bases
  • Integrate new data
  • Extracted information
  • Extracted meaning
  • Provide a secure, high-performance computing
    environment
  • Provide access to data
  • Maintain customer support and outreach programs

47
Overall Implementation Challenges
  • Diverse technologies for molecular analysis
  • Expression analysis, SNP, copy number analysis,
    mass spec, sequencing, transgenics, etc
  • Technologies constantly evolving
  • Information systems must be similarly protean
  • Molecular data must be integrated with
    phenotypical data to achieve promise
  • Data analysis and presentation needs vary by
    study
  • As well as by researcher, bench scientist,
    bioinformatician, etc

48
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49
Ongoing Genomics/ Genetics-Related Projects
  • VA funds 142 investigator-initiated Merit Review
    projects related to genetics/genomics
  • wide spectrum of conditions prevalent in veterans
    such as schizophrenia, PTSD, bipolar disorder,
    Alzheimers, cardiovascular disease, diabetes,
    cancer (prostate, breast, colon, bladder, lung),
    substance abuse, stroke, chronic viral
    infections, autoimmune disorders, Gulf War
    Illness, etc.
  • Genetic-association, pharmacogenomics
  • Candidate gene analysis, SNP analysis, linkage
    studies, microarrays, siRNA, gene expression

50
Interactions With Other Organizations
  • The VA interacts, discusses and actively
    participates in
  • Pharmacogenetic Research Network
  • supported by several NIH Institutes
  • National Human Genome Research Institute (NHGRI)
  • The Institute of Medicine Roundtable on
    Translating Genomic-Based Research for Health
  • The American Health Information Community (AHIC)
    and AHIC Successor (AHIC2)
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