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HL7 v3 Clinical Genomics – Overview The HL7 Clinical Genomics Work Group Prepared by Amnon Shabo (Shvo), PhD HL7 Clinical Genomics WG Co-chair and Modeling.

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Presentation on theme: "HL7 v3 Clinical Genomics – Overview The HL7 Clinical Genomics Work Group Prepared by Amnon Shabo (Shvo), PhD HL7 Clinical Genomics WG Co-chair and Modeling."— Presentation transcript:

1 HL7 v3 Clinical Genomics – Overview The HL7 Clinical Genomics Work Group Prepared by Amnon Shabo (Shvo), PhD HL7 Clinical Genomics WG Co-chair and Modeling Facilitator HL7 Structured Documents WG CDA Co-editor CCD Implementation Guide Co-editor GTR Implementation Guide prime editor HL7 RIMBAA WG, Co-chair

2 Haifa Research Lab 2 The Mission of HL7 Clinical Genomics Work Group The HL7 Clinical Genomics Work Group (CGWG) supports the HL7 mission to create and promote its standards by enabling the communication between interested parties of clinical and genomic data related to an individual. The focus of the CGWG efforts is the personalization of the genomic data – the so-call omics differences in an individuals genomic – and its association with relevant phenotypic and clinical information. Associations to interpretive/expected phenotypes will be modeled as knowledge that can be utilized to transform an individual's data into meaningful information. CGWG will facilitate the development of common standards for clinical research information management across a variety of organizations -- including national and international government agencies and regulatory bodies, private research efforts, and sponsored research -- and thus the availability of safe and effective therapies by improving the processes and efficiencies associated with regulated clinical research. CGWG will strive to achieve common semantics across the clinical and research environments. Consequently, the group will start each standardization effort in Universal specifications that later on can be refined to specific realms.

3 Haifa Research Lab 3 Overview of Activities v3: Family History (Pedigree) Topic Genetic Variations Topic Gene Expression Topic CMETs defined by the Domain v2: v2 Implementation Guides * The IG Genetic Test Result Reporting to EHR is modeled after the HL7 Version Implementation Guide: Orders And Observations; Interoperable Laboratory Result Reporting To EHR (US Realm), Release 1 CDA: A CDA Implementation Guide for Genetic Testing Reports Common: Domain Analysis Models for the various topics A Domain Information Model (v3) describing the common semantics Semantic alignment among the various specs Three Tracks: Normative DSTU Informative

4 Haifa Research Lab 4 HL7 Clinical Genomics v3 Static Models Family History Genetic Loci Utilize Genetic Locus Constrained GeneticVariation Phenotype (utilizing the HL7 Clinical Statement) Utilize Implementation Topic Normative DSTU Constrained Gene Expression Implementation Topic Comments RCRIMLAB Other domains Utilize CDA IG Reference Domain Information Model: Genome

5 Haifa Research Lab 5 To achieve semantic interoperability… Clinical Trials Imaging EHR Orders & Observations Pharmacy Clinical Guidelines Health RIM Clinical Documents Clinical Genomics Central Health RIM (e.g., an extended HL7 V3 Reference Information Model): Bio & medical-informatics standard specs are derived from the same RIM …we need standard specs derived from a Central Health RIM: Bioinformatics Data Models encapsulate

6 Haifa Research Lab 6 The Locus and its Alleles Sequence Variations Expression Data Sequence and Proteomics (Clinical) Phenotypes The DSTU GeneticLocus Model (deprecated) Focal Areas:

7 Haifa Research Lab 7 The Underlying Paradigm: Encapsulate & Bubble-up Clinical Practices Genomic Data Sources EHR System HL7 CG Messages with mainly Encapsulating HL7 Objects HL7 CG Messages with encapsulated data associated with HL7 clinical objects (phenotypes) Bubble up the most clinically-significant raw genomic data into specialized HL7 objects and link them with clinical data from the patient EHR Decision Support Applications Knowledge (KBs, Ontologies, registries, reference DBs, Papers, etc.) Bridging is the challenge… Encapsulation by predefined & constrained bioinformatics schemas Bubbling-up is done continuously by specialized DS applications

8 Haifa Research Lab 8 Decision Support Applications Encapsulate & Bubble-up Example Genetic Counseling DNA Lab HL7 CG Messages with a Sequence HL7 Object encapsulating the raw sequencing results HL7 CG Messages with encapsulated sequencing data associated with clinical phenotypes Bubble up the most clinically-significant SNP data into HL7 SNP and Mutation objects and link them with clinical data from the patient EHR Sequencing Example… Encapsulation by a constrained BSML schema Bubbling-up is done dynamically by specialized applications, e.g., sequence analyzing programs EHR System Knowledge Sources on genetic variants (e.g., OMIM)

9 Haifa Research Lab 9 Omics in the LS DAM - Molecular Biology

10 Haifa Research Lab 10 Omics in the LS DAM - Experiment

11 Haifa Research Lab 11 Omics in the LS DAM - Specimen

12 Haifa Research Lab 12 Gene Expression Topic (outdated) Domain Analysis Model (DAM) Passed informative ballot Based on several models for gene expression data along with extensions

13 Haifa Research Lab 13 The Domain Information Model - Genome Individual Allele Bio Sequenc e Sequence Variation (SNP, Mutation, Polymorphism, etc.) Polypeptide Expression Data Phenotype Entry Point: Geneome Expression Attributes Variation Attributes Encapsulating Obj. Bubbled-up Obj. genotype phenotype Genetic Loci Genetic Locus Non-locus specific data

14 Haifa Research Lab 14 Example: Family History XML Encoding Point back… Bubble up… To phenotype and beyond…. Taken from a patient pedigree, the portion related to patients daughter (in collaboration with Partners HealthCare & other HL7 CG SIG members) Point back to the raw data of this relative providing personal evidence

15 Haifa Research Lab 15 XML Fusion: Encapsulation of Raw Genomic Data Raw genomic data represented in Bioinformatics markup HL7 v3 XML

16 Haifa Research Lab 16 The Phenotype Model Observed Phenotype Interpretiv e Phenotype

17 Haifa Research Lab 17 The Genetic Variation CMET (passed normative in Jan. 2010) Geneti c Loci Geneti c Locus Individual Allele Sequenc e Variation Sequence (observed or reference) Participants (including specimen) Associated data (vocab. Controlled) Observed or Interpretive phenotypes Genetic Report (CDA) Genetic Testing Order Timing issues: collecting specimen, extracting genetic material, identifying genomic observations, interpretation

18 Haifa Research Lab 18 The HL7 RCRIM CT Laboratory Model- The Pharmacogenomics Extension Utilizes the Clinical Genomics CMET Genetic Lab Clinical Trial Enrolled Subject Specimen Consent to Genotype Pharmacogenomics Test

19 Haifa Research Lab 19 The Gene Expression CMET Draft Genetic Loci Genetic Locus Gene Expression Associated observations GTR Report Participants

20 Haifa Research Lab 20 The CG V3 Query Model: Query by Parameter GeneticLocus parameters Starting point with query identifiers and attributes Miscellaneous parameters GeneticLoci parameters participants parameters Phenotype parameters

21 Haifa Research Lab 21 V2 Implementation Guides The IG Genetic Test Result Reporting to EHR passed informative ballot It is modeled after the HL7 Version Implementation Guide: Orders And Observations; Interoperable Laboratory Result Reporting To EHR (US Realm), Release 1 Is used in a pilot of information exchange between Partners Healthcare and Intermountain Health Care

22 Haifa Research Lab 22 V2 update for January 2012 Genetic variations Cytogenetics

23 Haifa Research Lab 23 The v2 Message Structure

24 Haifa Research Lab 24 V2 Sample Message OBR|1||PM-08-J00094^HPCGG- LMM^ ^ISO|lm_DCM-pnlB_L^Dilated Cardiomyopathy Panel B (5 genes)^99LMM-ORDER-TEST- ID|| | ||||||||| ^Pump^Patrick^^^^^^ NPI^L|||||| |||F|||||| ^Cardiovascular^99HPCGG- GVIE-INDICATION^^^^^^Clinical Diagnosis and Family History of DCM|&Geneticist&Gene&&&&&NPI^^^^^^^HPCGG- LMM& &ISO||||||||||||||| ^Genetic analysis master panel ^LN SPM|1||| &Peripheral blood&SNM3&&&&0707Intl&&Blood, Peripheral||||||||||||| OBR|2||PM-08-J ^HPCGG- LMM^ ^ISO| ^Genetic analysis summary panel^LN||| ||||||||||||||| |||F||||^PM-08- J00094&HPCGG-LMM& &ISO OBX|1|CWE| ^Genetic disease assessed^LN|| ^DCM- Dilated Cardiomyopathy^SNM3^^^0707Intl||||||F| |||||||||||Laboratory for Molecular Medicine^L^22D ^^^CLIA& &ISO|1000 Laboratory Lane^Ste. 123^Cambridge^MA^99999^USA^B

25 Haifa Research Lab 25 CDA IG: Genetic Testing Report (GTR) Define an implementation guide for a genetic testing report that is both human readable and machine-processable Target at all types of GTR producers, e.g., genetic labs, clin. geneticists Readable content is larger in scope E.g., detailed description of the tests performed along with references Machine-processable should be limited, e.g., exclude raw data Ballot a Universal IG; then derive specific types of GTR: Healthcare & Research Realm-specific guides Omic-specific guides Developed using the MDHT open source tool (OHT)

26 Haifa Research Lab 26 GTR - Design Principles Follow existing report formats commonly used in healthcare & research Emphasize interpretations & recommendations Provide general background information on tests performed Reference HL7 Clinical Genomics instances (e.g., v3 or v2 GeneticVariation and Pedigree) as the place holders of full-blown raw genomic data and fully-structured family history data Utilize patterns of genotype-phenotype associations in the HL7 v3 Clinical Genomics Domain Implement them as clinical genomic statement entry-level templates (see next slide), enabling meaningful use of the data

27 Haifa Research Lab 27 The Clinical Genomic Statement An abstract Clinical Genomic Statement (CGS) template that Has at its core a genomic observation (e.g., a DNA sequence variation) If its a reportable finding, then it should be associated with indications and interpretations, specimen and genomic source class The major finding can be associated with associated observation (e.g., amino acid change) Optionally, performers may be specified (overriding header performers) The CGS abstract template is instantiated by specialized CGSs, e.g., for genetic variations or cytogenetics IndicationsInterpretations Genomic Observation Performers Specimen Genomic Source Clinical Genomic Statement Associated Observations

28 Haifa Research Lab 28 Narrative and Structured Data All CGS structured data items shall be part of clinical genomic statement (CGS) instances so that parsing applications can find the full semantics explicitly represented in one coherent structure In the case of the overall interpretation, it is part of CGS that has references to the various testing interpretations Sub-sections such as Indications, Interpretations and Specimen are mainly for presenting narrative, but they may also contain structured data In this way, it is possible to have less redundant documents, e.g., in the case where all tests reported in a GTR document have the same indication, an Indications section in the Summary section consists of a full-blown indication observation which all CGS indication observations reference CGS structured data may point to the respective narrative in sub- sections (by means of XML ID)

29 Haifa Research Lab 29 GTR Overall Layout Sections order constraint

30 Haifa Research Lab 30 GTR Rendered – The Header Draft that has not been clinically validated

31 Haifa Research Lab 31 GTR Rendered – Summary Section Draft that has not been clinically validated

32 Haifa Research Lab 32 GTR Rendered – Genetic Variation Sections Draft that has not been clinically validated

33 Haifa Research Lab 33 GTR Rendered – Test Information Section Draft that has not been clinically validated

34 Haifa Research Lab 34 GTR Main Hierarchies Test Details Section specimen indications interpretations test performed findings test information Genetic Variations Section Genetic variations CGS Cytogenetic Section Genetic variations CGS Gene Expression Section Gene Expression CGS Clinical Genomic Statement (CGS) Genetic Variations CGS GV Associated Observations GV Interpretive Phenotypes Cytogenetic CGS Cyt Associated Observations Cyt Interpretive Phenotypes Gene Expression CGS GE Associated Observations GE Interpretive Phenotypes Abstract section template w/common sub-sections: Extended by specialized sections Abstract CGS template: Extended by specialized CGSs

35 Haifa Research Lab 35 GTR UML Model - Section Outline

36 Haifa Research Lab 36 GTR UML Model - Summary Section

37 Haifa Research Lab 37 GTR Genetic Variation Section

38 Haifa Research Lab 38 Clinical Genomic Statement Extended by specialized Clinical Genomic Statements

39 Haifa Research Lab 39 Interpretive Phenotype Observation

40 Haifa Research Lab 40 GTR XML Snippets – Indications Section Indications narrative Indications structured data Summary Section

41 Haifa Research Lab 41 GTR XML Snippets – Specimen Section Specimens narrative Specimens structured data

42 Haifa Research Lab 42 GTR XML Snippets – Overall Interpretation Section Interpretations narrative Structured Interpretation

43 Haifa Research Lab 43 GTR XML Snippets – Genetic Variation Section Genetic Variation Genetic Variation associated observations

44 Haifa Research Lab 44 GTR XML Snippets – Genetic Variation Section (cont.) Genetic Variation indication Genetic Variation interpretation

45 Haifa Research Lab 45 CDA GTR Ballot Status Balloted as DSTU and passed in October 2010 Still under ballot to refine & reconcile ballot comments Main issues: Vocabulary: Universal spec vs. Realm (e.g. mandate the use of LOINC code?) Binding syntax (align with new vocabulary spec and the respective SDWG guidance for CDA IGs) Layout: Semantics – compare to recommended layouts in the literature Syntactic – works closely with MDHT developers to adhere to SDWG guidelines Sections specific to every type of genetic test (derived from abstract) Section and Entry level template ids registration (when layout agreed) Suggestion to add drug safety template (considered for future use)

46 Haifa Research Lab 46 Alignment Among the Various Specs v3 specs and CDA are all based the RIM CDA GTR-IG will be based on CDA R3 Depending on the right side of R3, if it allows RIM-based domain models, then alignment is trivial v3-v2 alignment: Proposal: represent semantics with v3 and implement it in various ways, one of which is v2; develop an v2 ITS for the v3 models See proposal made by Amnon in a separate presentation (click here to see that presentation)here

47 Haifa Research Lab 47 Utilizations in HL7 Clinical Trials: HL7 RCRIM Work Group (clinical trials specs) utilized the CG DSTU model (Genetic Locus) in their Pharmacogenomics message, which was an extension of the CTLab message (an approved but expired DSTU) Laboratory: The Lab Work Group might utilize a constrained version of the Genetic Variation model in their next release if the Lab Result message

48 Haifa Research Lab 48 Selected Implementation v2 Exchange of genetic testing results between Intermountain and Harvard v3 The Family History spec is used in Mass General Hospital Expanding to other family history applications including the US Surgeon General Family History tool The Genetic Variation model is used in Hypergenes (a European project on essential hypertension, The Pedigree and Genetic Variation models are used in Italy, the Rizzoli institute in Bologna CDA GTR has been used in uHealth – a PHR/EHR system in Korea

49 Haifa Research Lab 49 HL7 WG Health Check – Need to Improve! Active projects SWOT current 3 year plan current Mission and charter current Co-chair post-WGM survey participation Ballot presence Minutes posted since last WGM Last listserv activity Wiki presence WG conference calls schedules Steering division conference call participation Steering division co-chair (TSC representation) election participation WG rep at steering division WGM WG meetings at WGM scheduled WG has an approved DMP based on review of the updated template

50 Haifa Research Lab 50 Planning ahead May 2012 WGM (Vancouver) Schedule (from Tuesday Q3 to Thursday Q2) Joint meetings AP – Wed Q4 CDS - informal OO+AP – Wed Q1 Weekly conf. calls Continue Tuesdays 11EST Submit renewed PSSs for GTR and Omics Prepare to ballot GTR, Omics & Sequencing storyboards in May 2012

51 Haifa Research Lab 51 Summary Small group coping with Various HL7 formats: v3, v2 and CDA Clinical & Research environments Developing a DAM and component models (CMETs) to be used in other HL7 domains Genetic Variation Gene Expression CDA Genetic Testing Report (GTR) Bridge from raw data to human readable reports and bubbled-up data Model-driven development of standards (use of MDHT CDA Editor)

52 Haifa Research Lab 52 The End Thank you for your attention… Questions? Contact Amnon at Comments of general interest should be posted to the CG mailing list at

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