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Teri Manolio Director, Office for Population Genomics,
National Human Genome Institute (NHGRI),
USA
Perspective from a Global Leader
Applying Genomics to Clinical
Care: The Global Genomic
Medicine Collaborative (G2MC) National Human
Genome Research
Institute
National
Institutes of
Health
U.S. Department
of Health and
Human Services
U.S. Department of Health and Human Services
National Institutes of Health
National Human Genome Research Institute
Teri Manolio, M.D., Ph.D.
EuroBioForum Personalised Medicine 2014
September 22, 2014
Sunrise in Washington DC
http://iqdc.com/pics/sunrise.jpg
Discovery
Research
Clinical
Validation
Clinical
Implementation
Assess genotype-
phenotype associations
Assess outcomes after
using genetics to direct
therapy
Develop processes for
performing genetic testing
and using results in care
• Identify persons at
increased risk of disease
based on their genetic
variants
• Assess impact on health
outcomes and care
utilization of reporting
genomic findings
• Develop clinical
informatics systems for
reporting genomic results
and decision support
• Find all variants related
to given phenotype or
disease
• Identify causes of rare or
undiagnosed diseases
• Educate clinicians and
patients in clinical use of
genomic results
• Characterize variation in
genes known to be
related to disease or
treatment response
• Validate drug targets and
develop improved
therapeutic agents
• Define and disseminate
information on actionable
clinical variants and
relevant evidence base
Spectrum of Disease-Related Genomics Research
NHGRI Genomic Medicine Meetings
http://www.genome.gov/27549225 or google “NHGRI Genomic Medicine”
Genomic Medicine Colloquium, June 2011
GM II: Forming Collaborations, Dec 2011
GM III: Stakeholders, May 2012
GM IV: Physician Education, Jan 2013
GM V: Federal Strategies, May 2013
GM VI: Global Leaders, Jan 2014
GM VII: Genomic CDS, Oct 2-3, 2014
50 International Genomic Medicine Leaders
25 Countries
Courtesy,G Ginsburg, Duke U
Global Leaders International Attendees
• Canada (CIHR, GenomeCan)
• UK (MRC, WT, Genom Engl)
• Belgium (U Brux, U Leuven)
• Estonia (Eston Genom Ctr)
• France (INSERM)
• Greece (U Patras)
• Luxembourg (Ctr Syst Biomed)
• Sweden (Swed Res Council)
• European Commission
• Israel (Hadassah U, Clalit Med)
• Kuwait (Kuwait U)
• Saudi Arabia (Pr Salman Ctr)
• Tunisia (Tunis U)
• India (Min Sci Tech, Natl Inst
Biomed Genomics)
• Sri Lanka (U Colombo)
• China (Chinese Acad Med Sci)
• Japan (U Tokyo, Ctr Integ
Med, Min Science)
• Korea (NIH Kor, Seoul Natl U)
• Singapore (National U)
• Thailand (Mahidol U, Min Hlth)
• Australia (MRC)
• New Zealand (Natl Hlth Cmte)
Objectives of GMVI: Global Leaders in Genomic Medicine
• Identify areas of active translation and
implementation
• Prioritize common barriers to implementation
in healthcare
• Frame a policy agenda to advance the field
• Highlight nations with unique capabilities
• Discuss opportunities for international
collaborations
Plethora of Genomics Implementation Efforts
• UK: Genomics England to sequence 100K whole genomes and link to NHS medical record
• Japan: Implementation of Genomic Medicine Project including genomic prediction of drug response, efficacy and cost-effectiveness studies
• Estonia: proposed project for personal medicine
• Thailand: PGx card identifying risk for top ten SJS-TEN drugs, clinical exomes and genomes
Belgian Medical Genomics Initiative A national plan for exomes
12
To create the best possible framework for exome sequencing in a clinical context
Courtesy M Abramowicz, Hôpital Erasme, Université Libre de Bruxelles
1st degree family history of breast cancer reported in Israeli National Mammo Program
11.4
17.2
9.6
14.2
4.8
8
3.2
6.8
0
2
4
6
8
10
12
14
16
18
%
Jews (n=812100) Christian Arabs (n=14363) Moslem Arabs (n=61068) Druze (n=7136)
Mammo no cancer (n=1,008,421)
Mammo with cancer (n=39,895)
OR=1.62
(1.57-1.67)
OR=1.55
(1.18-2.03)
OR=1.71
(1.38-2.11)
OR=2.22
(1.11-4.41)
Courtesy G Rennert, Clalit Health Services, Haifa
Courtesy R Balling, Luxembourg Centre for Systems Biomedicine.
The EuroPGx project
McLeod et al., in preparation, 2014; Dalabira et al., in preparation (2014)
European populations display significant differences in
>130 pharmacogenomic biomarkers each.
Replication of these findings in larger population
samples to establish common grounds for
pharmacogenomic testing in developing countries.
Courtesy G Patrinos, U Patras.
www.hgucolombo.org
Only Medical Genetics Center in Sri Lanka Provide Clinical /Diagnostic Genetic Services, Provide Undergraduate and Postgraduate Training,
and Conduct Research by it self and in collaboration with academic and the private sector both nationally and internationally
Serving a Population of 20.1 Million People
Courtesy V Dissanyake,
U Colombo
Bench to Bedside in a Developing Country: Sri Lanka
Singapore: Stromal Corneal Dystrophies
and TGFBI Testing
• Inherited disorders leading to loss of corneal transparency.
• TGFBI mutations underlie the majority of stromal corneal dystrophies.
Screening of family
members
Disease Diagnosis
Treatment Selection for
Patients TGFBI Testing
Clinical Utility
Courtesy P Tan, Duke-Natl U Singapore
Approved at the Estonian Government Research and Development Council on 17.12.2013.
- Health care
- Educating health care professionals
- Educating the patients
- Further development of eHealth including decision support systems
- Research and Development
- Sequencing 5,000 individuals, Estonian Chip and analysis software
- International collaboration
- Commercialization
- Business agreements
- IPR
Proposed Estonian Program for Personal Medicine
Courtesy A Metspalu, U Tartu
Estonian Program: Research and Development
Courtesy A Metspalu, U Tartu
PILOT PROJECT
- Sequence 5,000 – assay SNV up to 0.1%
- Estonian chip – ca 0.7 – 1.0 million SNVs
- Pilot with 50,000 gene donors from the Estonian Biobank during one year using PCP, eHealth database, and decision support software
MAIN PROJECT
- Offer to everyone 35-65 years old as a disease risk and drug response prediction test (75-80% will accept)
- Estimate ca 500,000 people in the database with EMR, genotypes, samples and longitudinal prescription data
This system could be used as a additional “instrument” for physicians in diagnosing, treating and preventing disease, but also for research.
Virtuous Cycle of
Clinical Decision Support
Measure
Guideline
CDS
Practice
Registry
http://www2.eerp.usp.br/Nepien/DisponibilizarArquivos/tomada_de_decis%C3%A3o.pdf
Courtesy A Metspalu, U Tartu
Evidence Generating Medicine
• The next step beyond evidence-based
medicine
• The systematic incorporation of research
and quality improvement considerations into
the organization and practice of healthcare
• To advance biomedical science and thereby
improve the health of individuals and
populations.
Courtesy A Metspalu, U Tartu
Partly supported by
Genomic Medicine in Thailand
Courtesy W Chantratita, Ramathibodi Hospital
High Incidence of SJS/TEN in Thailand
Courtesy W Chantratita, Ramathibodi Hospital
Carbamazepine: SJS/TEN
B*1502 Carbamazepine and SJS/TEN: Allele
Frequency of HLA-B*15:02
Courtesy W Chantratita, Ramathibodi Hospital
Name & Family
Name
Outcome of the PGX
assay
PGx Interpretation
8 Jan 2014
High Risk of SJS/TEN from
Carbamazepine, according
to update information
Suggestion: According to
update information, this person
has HLA-B*1502 which has a
high risk to develop a severe
skin disorder (SJS/TEN), if he
takes carbamazepine or drug
structurally similar.
Need more information: please
contact our PGx laboratory.
Tel 02-200-4330-3… Signature of molecular
clinical pharmacist. Courtesy W Chantratita
Cost Effectiveness Analysis
• Incremental cost-effectiveness ratio of universal HLA-B*15:02 screening estimated at 222,000 THB ($6,660)/ QALY gained for epilepsy pts; 130,000 THB/QALY for neuropathic pain pts
• Test 343 patients to prevent one case of SJS/TEN
Courtesy S Mahasirimongkol, Ministry of Public Health
National Academy of Sciences Bldg
2101 Constitution Avenue, NW
Washington, DC
Opportunities for International Collaboration
• Bioinformatics/Health IT
• Education
• Evidence Generation
• Pharmacogenomics
• Policy
G2MC
Goals of the Global Genomic Medicine Collaborative (G2MC)
An international genomic medicine community hosted by the Institute of Medicine and formed to:
• Serve as nexus, clearinghouse, and knowledge base for GM activities globally
• Develop opportunities for global GM demonstration projects (implementation and outcomes research)
• Capture and disseminate best practices for GM (IT, education, evidence, Pgx, policy) across the global GM community
• Develop a financial model for sustained efforts
G2MC Steering Committee Geoff Ginsburg (US), Robyn Ward (Australia)
Marc Abramowicz Belgium
Fahd Al-Mulla Kuwait
Adam Berger US
Steve Bleyl US
Wasun Chantratita Thailand
Vajira Dissanayake Sri Lanka
Thierry Frebourg France
Anne Kolbe New Zealand
John Wong Singapore
Bruce Korf US
Michiaki Kubo Japan
Erkki Leego Estonia
Teri Manolio US
Gert Matthijs Belgium
Yaakov Naparstek Israel
Irene Norstedt Belgium
George P. Patrinos Greece
Gad Rennert Israel
G2MC Bioinformatics/Health IT Working Group Steve Bleyl (US), Erkki Leego (Estonia)
Goal
Adopt (or develop) and implement standards for storing individual, discrete, coded genomic features as transmitted from labs for databases or EHRs
Use Case
Copy number variant transmitted from lab and stored as discrete features in EHR, containing all pertinent data (patient identifiers, test indication, chromosomal anomalies, actionability, array used)
Collaboration with GA4GH
Define requirements for a global database of clinically actionable variants
G2MC Pharmacogenetics Working Group Wasun Chantratita (Thailand), George Patrinos (Greece)
Goal: implement broad program internationally to eradicate preventable SJS/TEN using PGx assays
• Biorepository for identifying additional markers, modifiers, recurrence risk, non-genetic factors
• Pharmacy practice guidelines for preventing recurrence
• Health economic and cost-effectiveness analyses
• In vitro diagnostic tests for causative drugs
• Clinical trials of treatment
G2MC Policy Working Group Anne Kolbe (New Zealand), Yaakov Naparstek (Israel)
Goal: assess and address needs of health technology assessors, regulators, industry, policy writers, funders and decision makers including governments
• Identify major issues facing health and social services sectors in next 5, 10 and 15 years, based on global burden of disease
• Determine genomic/epigenetic applications currently available and those in R&D pipeline (gap analysis)
• Bring fit-for-purpose genomic technologies into routine adoption quickly and efficiently
• Map research and R&D activities and investments, gaps
• Work with industry and regulators to bring technologies into effective use
What are the next big questions in genomic medicine implementation?
• Can it be done: accuracy, turnaround (warfarin genotyping) burden
• Is it interpretable:
• Can experts interpret it: VUS, penetrance
• Can clinicians interpret it: education and CDS
• Is it actionable: treatment, family at risk
• Does it cause harm: anxiety, unnecessary procedures, diversion of resources
• Can we learn from it: learning healthcare systems
• Does it work (help patients), does it reduce cost
50 International Genomic Medicine Leaders
40 US Genomic Leaders and NHGRI Staff
Larson, G. The Complete Far Side. 2003.
“The prospect of
using the genome as a
universal diagnostic is
upon us today.”
Richard Resnick
Genetically Inherited Diseases
NGS Cancer Panels; Targeted
PGD/PGS
Prenatal Dx based on NGS
Newborn Screening based on NGS
MGC: 5Year
project plan for
2013-2017
Viral Deep Sequencing to Detect Emerging Drug Resistance (HIV, HBV, HCV)
Unknown Pathogen, Emerging and Re emerging infectious
Noninvasive Prenatal Diagnosis Using NGS
Courtesy R Balling, Luxembourg Centre for Systems Biomedicine.
Incidence of SJS/TEN in Thailand,
1984-2013
0
200
400
600
800
1000
1200
1400
1600 1984-1
993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
ไมร่ะบเุพศ M F Unknown
Courtesy W Chantratita, Ramathibodi Hospital
• Current capacity for genomic medicine is small for a country the size of Thailand, need training and capacity building
• Thailand is moderate in size with unique genetic diversity and Universal Health Coverage (UHC)
• Any technology proven to be cost effective can be considered in the UHC package
• SJS/TEN PGx study is unique in having direct access to Thai FDA and being incorporated in the pharmacovigilance program
Unique Aspects of Thai Genomic Medicine
Courtesy W Chantratita, Ramathibodi Hospital
Top Ideas in Five Key Areas
• IT/bioinformatics
• Define key elements to be stored in EMR
• Identify most robust and generalizable solutions for potential wider adoption
• Global resource for actionable variants
• Education:
• Define workforce needs
• Develop existing/new educational tools that can be widely shared
• Develop region-specific teaching materials, perhaps common templates
Five Break-out Groups’ Top Ideas
• Evidence Generation
• Catalog evidence-generating projects
• Identify poolable/extendable projects
• Develop systems to capture evidence; federated network, standardized APIs (e-tools)
• Pharmacogenomics
• Global eradication of SJS/TEN
• PGx card
• Policy
• Share efforts in consent, results reporting
• Study economics, cost-effectiveness
Economic Evaluation • Cost-effectiveness and cost-utility analyses of various
genetic-based medical treatments by reducing the
incidence of adverse drug reactions, and reciprocally
healthcare expenditure at the national level.
Current projects focus on anticoagulation treatment of
warfarin (Croatia), acenocoumarol (Serbia, Greece) and
clopidogrel (Serbia) and nicotine addiction treatment
(Greece).
• Endorsement of the production of the textbook “Economic
Evaluation in Genomic Medicine” by Elsevier/Academic
Press in early 2015.
Courtesy G Patrinos, U Patras.
• Stevens-Johnson syndrome (SJS) is a rare in
other countries, but not in Thailand.
• In Thailand, we interviewed many who survived
SJS/TEN
– They felt that their bodies were burning and
that someone had poured acid into their eyes
– The pain was so extreme that they wish to
die, but they could not
• Eradication of SJS/TEN in Thailand is a priority
for our Thai medical genomics team
A Fate Worse than Death
Courtesy W Chantratita, Ramathibodi Hospital
Courtesy W Chantratita, Ramathibodi Hospital
Stevens-Johnson Syndrome, HLA-B*15:02, and Carbamazepine
Chung et al., Nature 2004;428:486.
N Engl J Med. 2011;364:1134-43.
Clin Pharm Therap 2012;92:757-65. “Clinicians must determine if a patient has ancestry
across broad areas of Asia. This requires clinicians
to know what ‘Asian ancestry’ means and use a
consistent, reliable method to figure out which
patients have this ancestry.”
CAUTION: This patient carries the HLA-
B*15:02 allele, a known risk factor for
carbamazepine-induced SJS in persons
of Asian ancestry…