Amia 2013: How can bio-ontologies support clinical and translational science?
1. Leveraging ontologies for research
reproducibility, resource sharing,
and researcher networking
Carlo Torniai and Melissa Haendel
Ontology Development Group
Oregon Health & Science University
Oregon Health & Science
3/19/2013 1
University
2. Topics
Research reproducibility
Ontology driven application for research resource
identification and sharing
Team science
Shared and computable expertise in support of
research profiling and building translational teams
Oregon Health & Science
3/19/2013 2
University
3. Supporting the translational lifecycle
Bench
experiments
Research
Clinical Trials resources
Shared
Knowledge
Clinical Publish
Research papers
Registries
and
Databases
Oregon Health & Science
3/19/2013 3
University
4. eagle-i: inventories “invisible” resources
Ontology-system for
collecting and querying
research resources
eagle-i.net net w o r k
Oregon Health & Science
3/19/2013 4
University
7. Leveraging ontologies for resource
representation
Enables classification and unique reference of
resources in the literature and in clinical protocols
Enables linkage with other standard vocabularies
and ontologies (MeSH, Gene Ontology, ICD)
Facilitates semantic connections between
resources, people, and clinical research
Standard representation of research
resources enables inference of expertise
Oregon Health & Science
3/19/2013 7
University
9. Leveraging expertise
Innovation happens between publications
Team science has a higher impact
Clinical expertise isn’t well represented by
publications or grants
We need a system that can
connect basic and clinical
researchers
Oregon Health & Science
3/19/2013 9
University
10. CTSAConnect: using ontologies to
connect clinical and basic researchers
Goals:
– Identify potential collaborators, relevant resources, and
expertise across disciplines
– Assemble translational teams of scientists to address
specific research questions
Approach:
Create a semantic system to enable:
– Broad and computable representation of translational
expertise
– publication of expertise as Linked Data (LD) for use in
other applications
Oregon Health & Science
3/19/2013 10
University
11. CTSAConnect
Semantic People
VIVO
VIVO
Coordination
Clinical
eagle-i eagle-i
activities
Resources
eagle-i is an ontology-driven application . . . for collecting and
searching research resources.
VIVO is an ontology-driven application . . . for collecting and
displaying information about people.
Both publish Linked Data. Neither addresses clinical expertise.
CTSAconnect will produce a single Integrated Semantic
Framework, a modular collection of ontologies — that also
includes clinical expertise
Oregon Health & Science
3/19/2013 11
University
12. Ontologies refactoring
ShareCenter
VIVO Discussions, requests, eagle-i
Person profiling share documents Research resources
ISF
Organizations Clinical Reagents
Contact Services Events Credentials
Affiliations Expertise Organisms
Oregon Health & Science
3/19/2013 12
University
13. Clinical Expertise Generation
Step 1 Step 2 Step 3 Step 4
Aggregate Compute Map Data to Publish Linked
Clinical Data Expertise Ontologies Data
Unique
3
Patient
Provider ID ICD Code Value Code Count Count Code Label
Unilateral or unspecified
femoral hernia with
1234567 552.00 1 1
obstruction (ICD9CM
552.00)
Bilateral femoral hernia
without mention of
1234567 553.02 8 6
obstruction or gangrene
(ICD9CM 553.02)
Regional enteritis of large
1234567 555.1 4 1
intestine (ICD9CM 555.1)
Corrected transposition of
1234568 745.12 10 5 great vessels (ICD9CM
745.12)
1
2 4
Come to my talk
tomorrow at 11.30
Electronic Health Record Data Mining
14. Putting it all together
No “biological” relationships between Stanley and Kelsey
Oregon Health & Science
3/19/2013 14
University
15. Our dream scenario
Researchers are connected based on relationships between resources, publications,
projects, pathways, phenotypes, etc.
Oregon Health & Science
3/19/2013 15
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16. Monarch Initiative
www.monarchininitiative.org
Come see our poster this
Afternoon. N. 51
Enabling phenotype-based knowledge discovery tools
Oregon Health & Science
3/19/2013 16
University
17. Translational cross-institutional search
Type I diabetes
mellitus reference
Pathway
FAS
diabetes
Autoimmune
B6-H2g7 Lymphoproliferative Syndrome
Mus musculus
Evaluation of Dermal Myelinated Fibers
K. Hattori in Patients with Diabetic Polyneuropathy P. Kurre
CTSA1 A. Peltier
Figure form Kegg
www.genome.jp/kegg-bin/show_pathway?map04940
Oregon Health & Science
3/19/2013 17
University
18. Resources
eagle-i Support : NCRR / NCATS through
http://eagle-i.net Booz-Allen Hamilton
#U24 RR 029825
CTSAconnect Support : NCATS through Booz Allen
Hamilton
http://ctsaconnect.org CTSA 10-001: 100928SB23
Monarch Initiative Support : NIH Office of the Director
1R24OD011883-01
http://monarchinitiative.org
Oregon Health & Science
3/19/2013 18
University