BioVU and the Synthetic Derivative Erica Bowton, PhD Program Manager, Personalized Medicine.

Slides:



Advertisements
Similar presentations
Ann Johnson IRB Administrator, IRB Member. Objectives 1. Identify the components necessary for management and oversight of tissue repositories used for.
Advertisements

Instructions and Reporting Requirements Module 3 Electronic Reporting For Facilities March 2014 North Carolina Central Cancer Registry State Center for.
The Veterans Affairs Central Biorepository and MVP Highlights Mary T
Rockefeller Phenotyping Initiative Translational Key Function Committee 8/3/2010 Laboratory of Blood and Vascular Biology Laboratory of Human Genetics.
HLA Genetics Consortium Meeting, December 14-15, 2010.
Ellen Wright Clayton, MD, JD Craig-Weaver Professor of Pediatrics Director, Center for Biomedical Ethics and Society Vanderbilt University.
CHOICE Pathology Informatics 2010 Boston, Massachusetts DataReady ® : A Deployable Data Management and Integration System for Large-scale Cancer Repositories.
Project Update : Claims/Clinical Linkage Project MHDO Board of Directors June 6, 2013.
Reuse of Electronic Medical Records for Research Our architecture Two examples.
Is low-dose Aspirin use associated with a reduced risk of colorectal cancer ? a QResearch primary care database analysis Prof Richard Logan, Dr Yana Vinogradova,
Vanderbilt’s DNA Databank:
EleMAP: An Online Tool for Harmonizing Data Elements using Standardized Metadata Registries and Biomedical Vocabularies Jyotishman Pathak, PhD 1 Janey.
University of Pittsburgh Department of Biomedical Informatics Healthcare institutions have established local clinical data research repositories to enable.
The Pursuit of Better Medicines through Genetic Research Terri Arledge, DVM US Department Head Drug Development Genetics.
Data collection, integration and normalization presented to DIMACS Gil Delgado October 17, 2002.
The Biomedical Translational Research Information System (BTRIS) James J. Cimino Chief, Laboratory for Informatics Development National Institutes of Health.
BTRIS: The NIH Biomedical Translational Research Information System James J. Cimino Chief, Laboratory for Informatics Development NIH Clinical Center.
The NIH Biomedical Translational Research Information System (BTRIS) Town Hall Meeting - Information Session February 26, 2008 Lipsett Auditorium.
The NIH Biomedical Translational Research Information System (BTRIS) James J. Cimino, MD Chief, Laboratory for Informatics Development NIH Clinical Center.
Overview of the Synthetic Derivative April 16, 2010 Melissa Basford, MBA Program Manager – Synthetic Derivative.
NEW ENHANCEMENTS IN THE SYNTHETIC DERIVATIVE AND WHAT THAT MEANS FOR THE RESEARCHER Jacqueline Kirby June 7 th, 2013.
Vanderbilt’s DNA Databank: BioVU. Personalized Medicine Integration of genomic information into clinical decision making Personalized disease treatment.
Lessons Learned From eMERGE II
Human Research Protection Programs 1a: How to Navigate Human Subject Protection Regulations Sponsored by the American Society for Investigative Pathology.
Treuman Katz Center for Pediatric Bioethics Conference Banking Biological Samples for Pediatric Research Jeffrey R. Botkin, M.D., M.P.H. Professor.
Butte Lab Journal Club 16 Aug 2010 Alexander A. Morgan.
Data Collection and Aggregation: Making It Work for Your P4P Program Dolores Yanagihara, MPH Integrated Healthcare Association February 27, 2008 National.
Care.data: listening to you Robin Burgess Regional Head of Intelligence
Copyright OpenHelix. No use or reproduction without express written consent1.
Li Xiong CS573 Data Privacy and Security Healthcare privacy and security: Genomic data privacy.
Future Use of Stored Samples & Data and the NIH Policy on GWAS and dbGaP NIAID/DAIDS Dione Washington, M.S. -- ProPEP Sudha Srinivasan, Ph.D.-- TRP Tanisha.
PGPop: PharmacoGenomic discovery and replication in very large patient POPulations PGPop: SUMMARY PGPop was conceived as a network resource to provide.
Anticipated FY2016 Appropriations Agency$ Million NIH200 Cancer70 Cohort130 FDA10 Office of the Natl Coord. for Health IT (ONC) 5 TOTAL215 Mission: To.
1 Jack London, PhD Research Professor, Cancer Biology Thomas Jefferson University Informatics Shared Resource Director Sidney Kimmel Cancer Center at Jefferson.
OVERVIEW OF THE SYNTHETIC DERIVATIVE June 29, 2012 Melissa Basford, MBA Program Manager – Synthetic Derivative.
Ethical and Regulatory Considerations in Research using Residual Specimens Jeffrey R. Botkin, M.D., M.P.H. Professor of Pediatrics and Medical Ethics Associate.
Integrated Data Management System for the Biorepository.
H I P A A T R A I N I N G Self Directed Module 7 Research Disclosures For Data Custodians START Click to begin…
EXPLORING DATA AND COHORT DISCOVERY IN THE SYNTHETIC DERIVATIVE.
De-identification: A Critical Success Factor in Clinical and Population Research Steven Merahn MD Dee Lang, RHIT Prepared for 2007 APIII Pittsburgh, PA.
IndianaCTSI ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH Building an Indiana Biorepository Dave A Flockhart Eric Meslin April 19 th, 2010.
Genetic Repositories Australia BACKGROUND GRA supported by an NHMRC Enabling Facility Grant awarded in  GRA supported by an NHMRC Enabling Facility.
Tissue Banking Operations and Infrastructure Mid-Atlantic Pathologists Assistants and Pathologists Assistants of New England June 5 th 2009 Beacon Hotel,
1 Ethical issues in genomics research Bernard Lo, M.D. March 3, 2009.
THE MURDOCK Study: A Rich Data Resource for Biomarker Discovery and Validation Brian D. Bennett 1, Jessica D. Tenenbaum 1, Victoria Christian 1, Melissa.
Rachel Liao, PhD Coordinator of the Clinical Working Group and the BRCA Challenge demonstration project for the Global Alliance for Genomics and Health.
VICTR Data Management CRC Research Skills Workshop Michael Assink April 6 th, 2012.
CTMB Guidelines (Rev. October 2006) Section 5: Conducting the Quality Assurance Audit.
Use of Data from the Electronic Medical Record in Research Opportunities & Pit Falls Kristin West.
October 9 th, 2015 University of Pennsylvania TIES Cancer Research Network Y3 Face to Face Meeting U24 CA Session 5 Regulatory Update.
Regulatory Guidance for Genetic Testing. Three Specific Areas Laboratory tests Results of genetic testing – Clinical – Research GenomeWide Association.
Levels of Review of Research and Quality Improvement Walter Kraft, MD Associate Director, Office of Human Subjects Protection Department of Pharmacology.
INTERPRETING GENETIC MUTATIONAL DATA FOR CLINICAL ONCOLOGY Ben Ho Park, M.D., Ph.D. Associate Professor of Oncology Johns Hopkins University May 2014.
May 2007 CTMS / Imaging Interoperability Scenarios March 2009.
Research Tools Brought to you by the Clinical and Translational Science Institute Presented by: Terri Shkuda Systems Analyst Research Informatics The Penn.
Informatics Tools and Services Biomedical Informatics Core Tim Aro.
Uses of the NIH Collaboratory Distributed Research Network Jeffrey Brown, PhD for the DRN Team Harvard Pilgrim Health Care Institute and Harvard Medical.
Quality Metrics of Performance of Research Ethics Committees Cristina E. Torres, PhD FERCAP Coordinator.
Data Coordinating Center University of Washington Department of Biostatistics Elizabeth Brown, ScD Siiri Bennett, MD.
Duke Index of Biospecimens to Enable Sharing of Biospecimen Collections Abstract The Duke Biobank created the Index of Biospecimens (the Index) to promote.
Honest Brokers for Secure De- identification of Patient Records Project – CSE 5810 – Introduction to Biomedical Informatics Krishna Kalaparti Date: 04/20/2016.
OnCore Current Status and Implementation Project Plan
Stony Brook University The Process for Joining TIES
Claire McKinley, PMP, CCRP
FaceBase Biorepository: Overview
care.data: listening to you
Epic Tools for Clinical Research
IRB protocol no PI: Dr. David F. Chhieng
Dan Geschwind, MD, PhD Director, Institute for Precision Health
Presentation transcript:

BioVU and the Synthetic Derivative Erica Bowton, PhD Program Manager, Personalized Medicine

Personalized Medicine

What is BioVU? The move towards personalized medicine requires very large sample sets for discovery and validation BioVU: biobank intended to support a broad view of biology and enable personalized medicine Contains de-identified DNA extracted from leftover blood after clinically-indicated testing of Vanderbilt patients who have not opted out Linked to Synthetic Derivative: de-identified EMR

John Doe 4

One way hash A7CCF99DE65732…. scrubbed John Doe ~2 million records The Synthetic Derivative : can be updated 5

eligible John Doe One way hash A7CCF99DE5732…. A7CCF99DE65732…. scrubbed Extract DNA A7CCF99DE65732…. John Doe ~2 million records The Synthetic Derivative : can be updated 6

7 Accepted samples must:  Be of good quality  Have sufficient amount of blood  Be from a patient who has signed the BioVU form  Be from a patient who has not opted out How BioVU Samples are Accepted

8 The BioVU Form A component of the Consent for Treatment process

9 Awareness Generation Posters in phlebotomy areas in English and Spanish Brochures freely available to VUMC clinics in English and Spanish BioVU hotline available for questions and opt-out

10 BioVU Sample Accrual: 176,448 Current accrual as of : 155,090 adult 21,472 pediatric

11 RTS SmaRTStore Where are BioVU samples stored?

BioVU Operations Oversight Institutional Review Board BioVU General Counsel Med Ctr Ethics Vice Chancellor (Chair) Ethics/ELSI (2) Ctr Human Genetics Research (2) Clinical genetic testing lab (1) Genetics/Genetic Medicine (6) Pediatric genetics (1) Clin. Pharmacology(PI) * Includes (or exclusively) external membership ** (n)= number of members representing this discipline/area. Several members are represented in more than one area Patient advocacy (2) University counsel (1) Biostatistics (3) Cancer center (3) Operations Oversight Board** Community Advisory Board* Ethics Advisory Board* = oversight Vice Chancellor’s Office = input, advisory Program staff BioVU Protocol Review Committee

Resources for EMR-based research at VUMC 13 The Synthetic Derivative A de-identified and continuously-updated image of the EMR (2 M records) BioVU DNA samples available: >175,000 Plasma collection underway Redeposited genotypes Subjects with GWAS data: >12,000 Subjects with any genotyping: >60,000 > 8,000,000,000 genotypes 13

The Synthetic Derivative Rich, multi-source database of de-identified clinical and demographic data A Derivative of the EMR - information content reduced by ‘scrubbing’ identifiers Systematically shifted event dates User Interface tool that can be used for access and analysis Services are available to help deliver results for non-standard queries (temporal queries, controls matching, etc) Contains ~2.1 million records o ~1 million with detailed longitudinal data o averaging 100,000 bytes in size o an average of 27 codes per record Records updated over time and are current through 8/31/13

Narratives, such as:  Clinical Notes  Discharge Summaries  History and Physicals  Problem Lists  Surgical Reports  Progress Notes  Letters Diagnostic Codes, Procedural Codes Forms (intake, assessment) Reports (pathology, ECGs, echocardiograms) Clinical Communications Lab Values and Vital Signs Medication Orders TraceMaster (ECGs) Tumor Registry Synthetic Derivative Data Types

Technology + policy De-identification Derivation of 128-character identifier (RUI) from the MRN generated by Secure Hash Algorithm (SHA-512) HIPAA identifiers removed using combination of custom techniques and established de-identification software Date Shift Our algorithm shifts the dates within a record by a time period (up to 364 days backwards) that is consistent within each record, but differs across records Restricted access & continuous oversight Access restricted to VU; not a public resource IRB approval for study (non-human) Data Use Agreement Audit logs of all searches and data exports

Data Use Agreement No attempt at re-identification Inform BioVU staff if a record is identifiable Research confined to that which is described Genotypes to be re-deposited back to BioVU

Phenotyping Approach Algorithm Development Identify phenotype of interest Case & control algorithm development and refinement Manual review; assess precision Deploy in BioVU ≥95% <95%

Disease Cohorts 19

20 Pre-Review BioVU Committee Review  Expedited Review  Genotyping data requests  Reviewed by BioVU Chair  Full Review  DNA sample access requests  Reviewed and scored by Primary and Secondary reviewers BioVU Projects: 104  Requests: 104  Approved so far: 86 BioVU Utilization

Current BioVU Studies 21

22 USE CASE 1 Synthetic Derivative Study

23 Ability to analyze quantitative, longitudinal repeated measures BMI Normal Range Zyprexa Prescription USE CASE 1 Synthetic Derivative Study

24

25 USE CASE 1 Synthetic Derivative Study

26 USE CASE 1 Synthetic Derivative Study

BMI USE CASE 1 Synthetic Derivative Study

28 USE CASE 2 Existing Genetic Data

29 USE CASE 2 Existing Genetic Data

30 USE CASE 2 Existing Genetic Data

31

32 USE CASE 2 Existing Genetic Data

33 USE CASE 2 Existing Genetic Data

USE CASE 3 New Genotyping/Sequencing 34

USE CASE 3 New Genotyping/Sequencing 35

36 USE CASE 3 New Genotyping/Sequencing

37 USE CASE 3 New Genotyping/Sequencing

Investigator query cases controls + Data use agreement One way hash USE CASE 3 New Genotyping/Sequencing

One way hash Investigator query cases controls + Data use agreement Data analysis

Sample retrieval Genotyping, genotype- phenotype relations cases controls + Investigator query cases controls + Data use agreement One way hash

BioVUVANTAGE Vanderbilt Technologies for Advanced Genomics VANGARD Vanderbilt Technologies for Advanced Genomics Analysis and Research Design Access approvals/application Cohort identification Clinical data extraction Programming support Study design Agreements Genotyping/sequencing approaches Assay design SNP selection Sample pulling and plating Genomic data analysis and research design Biostatistical/bioinformatic support 2-3 months 1-2 months BioVU Project Life Cycle

For ALL BioVU Studies… 42 Resources: 1. BioVU Project Management: 2. Programming services: IDASC CORE 3. Genomic technologies: VANTAGE CORE 4. Data analysis services: VANGARD CORE

END 43

Validating EMR phenotype algorithms Odds Ratio rs Chr. 4q25 rs Chr. 4q25 rs IL23R rs Chr. 5 rs Chr. 5 rs NOD2 rs PTPN22 rs DRB1*1501 rs IL2RA rs IL7RA rs Chr. 6 rs RSBN1 rs PTPN22 rs TCF7L2 rs TCF7L2 rs TCF7L2 rs CDKN2B rs FTO rs5219KCNJ11 rs5215KCNJ11 rs IGF2BP2 Atrial fibrillation Crohn's disease Multiple sclerosis Rheumatoid arthritis Type 2 diabetes disease gene / region marker 2.0 Ritchie et al, 2010 observedpublished