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DATA
ANALYTICS
PLATFORM
YUAN SONG
PROFESSOR,
CLINICAL DATA
SCIENTIST
DUKE UNIVERSITY
COPYRIGHT BY YUAN SONG Jul. 14, 2016 1
REFERENCE: HTTP://WWW.SLIDESHARE.NET/EMARSHAD/EMERGING-TRENDS-IN-CLINICAL-DATA-
MANAGEMENT
Jul. 14, 2016COPYRIGHT BY YUAN SONG 2
Data Analytics Platform Work Flow – Clinical
Trial
PHARMACOGENOMICS/PHARMACOGENETICS
Jul. 14, 2016COPYRIGHT BY YUAN SONG 3
PHARMACOGENOMICS/GENETICS FINDINGS
(PF)
Jul. 14, 2016COPYRIGHT BY YUAN SONG 4
SDTM Sequence Number
Genetic Target
Reference Sequence
Genetic Region of Interest
Name of Pharmacogenomics Lab
Test
Vendor Name
Jul. 14, 2016COPYRIGHT BY YUAN SONG 5
DATA ANALYTICS PLATFORM WORK FLOW –
GENOMIC LAB
Jul. 14, 2016COPYRIGHT BY YUAN SONG 6
MODELING 3D FACIAL SHAPE FROM DNA
CLAES, ET AL. (2014). PLOS GENETICS 10(3)
Jul. 14, 2016COPYRIGHT BY YUAN SONG 7
• A federated ecosystem for
sharing genomic, clinical data
• The Global Alliance for
Genomics and Health (June 9,
2016)
• Science 352 (6291)
Jul. 14, 2016COPYRIGHT BY YUAN SONG 8
CLIA & CAP CERTIFIED LABORATORY
Jul. 14, 2016COPYRIGHT BY YUAN SONG 9
CLINICAL LABORATORY IMPROVEMENT
AMENDMENTS (CLIA) CERTIFICATION
• 3 federal agencies are responsible for CLIA: The Food and Drug
Administration (FDA), Center for Medicaid Services (CMS) and the
Center for Disease Control (CDC). Each agency has a unique role in
assuring quality laboratory testing.
(http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/
IVDRegulatoryAssistance/ucm124105.htm)
• Reference : How Obtain A CLIA Certificate
file:///C:/Users/User/Desktop/wuxi%20nextcode/HowObtainCLIACe
rtificate.pdf
Jul. 14, 2016COPYRIGHT BY YUAN SONG 10
COLLEGE OF AMERICAN PATHOLOGISTS
(CAP)
LABORATORY ACCREDITATION PROGRAM
• Reference:
http://www.cap.org/web/home/lab/accreditation/laboratory-
accreditation-
program?_afrLoop=90302103728227#!%40%40%3F_afrLoop%3D90
302103728227%26_adf.ctrl-state%3Dgyms41b1v_30
Jul. 14, 2016COPYRIGHT BY YUAN SONG 11
DATA MANAGEMENT – CLINICALLY
INTUITIVE
• Genomically-
Ordered
Relational
Database
• Cloud based
infrastructure
• Reference
datasets
• SOP
• Informed
Consent
• Internal Audit
Jul. 14, 2016COPYRIGHT BY YUAN SONG 12
Reference: Wuxi Nextcode Tutorial https://www.youtube.com/watch?v=rMMPwoSYKO4
AUDITING
WAR ROOM
WHERE REQUESTS FOR INFORMATION, DOCUMENTATION,
AND INTERVIEWS ARE PROCESSED AND MANAGED
Jul. 14, 2016COPYRIGHT BY YUAN SONG 13
DATA INTERPRETATION – VISUALIZATION
• Clinical
Sequence
Analyzer
• Sequence
Miner
• Genome
Browser
Jul. 14, 2016COPYRIGHT BY YUAN SONG
DATA DELIVERY
• RFI
• BCL/FASTQ/BAM/VCF
• Transfer Agreement
• Transfer Schedule
• Transfer Format
• Data Validation
Jul. 14, 2016COPYRIGHT BY YUAN SONG 15
THANK YOU
Data
Operation
Security
and
Complian
ce
Acquisiti
on
Manageme
nt
Interpretatio
n
Delivery
Jul. 14, 2016COPYRIGHT BY YUAN SONG 16

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20160714 data analytics platform yuan愿 song宋

Editor's Notes

  1. • Preparation of Data Management Plan • CRF designing and Annotations • Database design and Validation programming • User Acceptance Testing • Scanning and Indexing (paper studies) • Double Data entry (paper studies) • Discrepancy management & Query Resolution • Dictionary Coding (TMS) • External Data Upload (Central Lab, e-Diaries) • Reconciliation of external data specialized in IVRS, Biomarker, Central lab, ECG, Holter, MRI, and PG Samples • SAE Reconciliation • Integration with a client's existing systems & processes • Handling of local lab and specialized lab settings • CDISC Compliant Data Transfers • Data extracts • Data base lock and Archiving of the study documentation with database • Database freeze
  2. In April 2015, DNAnexus and WuXi NextCODE announced a strategic alliance that will connect WuXi NextCODE’s sequence data analysis suite and their parent company WuXi AppTec’s global, open access drug discovery and development services through a single global cloud platform. This partnership also expands the DNAnexus genome informatics and data management platform to China. The DNAnexus global network for genomic medicine provides security, scalability, and collaboration for enterprises that are pursuing genomic-based approaches to health in order to accelerate medical discovery.
  3. The picture on the left side is a picture of a real human being; the one right next to it is a reconstructed from his 23andMe genotype so it's not a perfect likeness but I would say arguably it's better than a police sketch. And the technics are getting better all the time so I think this type of study that puts the lie for the idea that if we scrub the data hard enough if we remove enough identifiers, we will eventually be safe I don't think that's true I think there's a lot of information about you in the genome. So actually the more I can look at these 2 pictures, the more I think they look like. I am not sure if I am fooling myself.
  4. A FEDERATED DATA ECOSYSTEM. The Global Alliance for Genomics and Health (GA4GH) was established in 2013 to enable responsible and effective sharing of genomic and clinical data in a way that is as simple as using the World Wide Web. GA4GH, which now brings together hundreds of individuals and organizations, was built on the hypothesis that the data underlying genomic medicine must be federated. That is, whereas data may be distributed across many databases and computers around the world, they must be virtually connected through software interfaces that allow seamless, authorized access. In contrast to large centralized data repositories, a federated system will allow legal data control to remain within the originating jurisdiction (see the figure). International consortia such as the International Cancer Genome Consortium (ICGC) have already adopted federated databases because the model allows local databases to maintain autonomy (5).
  5. Instantaneous visualization of raw sequence reads. This example shows that by hitting the “Father BAM” button, the NextCODE Genome Browser instantaneously loads BAM sequences enabling users to check the assembly and variant calls between the affected patient and the father. This detailed display of raw reads provides rapid visual confirmation that the father is a heterozygous carrier of the mutant C and his affected child is homozygous for the mutation. Similar analysis can be done for other members of the family and even for large cohorts.