Fundamental advances in genetic sequencing technologies were stimulated by the human genome project and are now in turn transforming genome science and medicine. Yet the promise of genomic medicine remains limited by the lack of definitive sources of information about the genetic contributions to disease. Although many groups are attempting to address this gap individually, such efforts will ultimately fall shor if they remain disconnected. The Clinically Relevant Variants Resource represents a collaborative effort of the genetics community to establish an evidence-based resource for the assessment of the clinical relevance of genes and variants. This knowledge base is critical for confident, efficient analysis and interpretation of genome-scale sequence data. The objective is to provide a publicly available consensus summary of the evidence from the medical literature, basic science researchers, and clinical laboratories regarding the genes and variants that are implicated in human health and disease. Dedicated portals will be provided for researchers, clinical laboratories, physicians, patients, and electronic health records to ensure that the resource is widely accessible. The consortium of investigators will accomplish this objective by pursuing five specific aims: 1) developing a semi-quantitative methodology for assessing the """"""""clinical actionability"""""""" of gene- phenotype pairs, which will allow stakeholder groups to provide guidance on the reporting and use of such genetic results;2) establishing a standardized process for evaluating whether variants are benign, related to disease, or of uncertain significance;3) deploying an informatics infrastructure to support the activities of the consortiu by aggregating information from disparate sources and presenting it for human evaluation;4) assembling clinical domain-specific working groups to systematically evaluate the genes (and the variants in those genes) that are clinically relevant;and 5) ensuring the interoperability of he resource with electronic medical record systems. The approach innovates by developing novel approaches for the assessment of genes and variants that are robust and reproducible, and by establishing a distributed informatics system for aggregating and displaying information, with mechanisms for updating and reanalysis. The proposal is forward-thinking in that attention will be paid to ensuring the interoperability of the resource with diverse end-users, including electronic health records. The proposed resource project is significant because it will provide freely available expert curation of the human genome across a substantial number of clinical domains, with a transparent and evidence-based approach.

Public Health Relevance

The Clinically Relevant Variants Resource will make a fundamental contribution to the public health by providing a centralized, publicly accessible repository of information about human genetic variation and its relationship with health and disease. The resource will facilitate the clinical interpretation of genome-scale sequencing tests, thus overcoming a significant barrier to their implementation in clinical medicine. Thus, the proposed resource is relevant to the NHGRI's path towards an era of genomic medicine.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HG007437-02
Application #
8739541
Study Section
Special Emphasis Panel (ZHG1-HGR-M (M2))
Program Officer
Ramos, Erin
Project Start
2013-09-23
Project End
2017-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
2
Fiscal Year
2014
Total Cost
$2,342,003
Indirect Cost
$307,155
Name
University of North Carolina Chapel Hill
Department
Genetics
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Crump, Jacob K; Del Fiol, Guilherme; Williams, Marc S et al. (2018) Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons. AMIA Jt Summits Transl Sci Proc 2017:330-339
Madhavan, Subha; Ritter, Deborah; Micheel, Christine et al. (2018) ClinGen Cancer Somatic Working Group - standardizing and democratizing access to cancer molecular diagnostic data to drive translational research. Pac Symp Biocomput 23:247-258
McGlaughon, Jennifer L; Goldstein, Jennifer L; Thaxton, Courtney et al. (2018) The progression of the ClinGen gene clinical validity classification over time. Hum Mutat 39:1494-1504
Lee, Kristy; Krempely, Kate; Roberts, Maegan E et al. (2018) Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline CDH1 sequence variants. Hum Mutat 39:1553-1568
Henrie, Alex; Hemphill, Sarah E; Ruiz-Schultz, Nicole et al. (2018) ClinVar Miner: Demonstrating utility of a Web-based tool for viewing and filtering ClinVar data. Hum Mutat 39:1051-1060
Ghosh, Rajarshi; Harrison, Steven M; Rehm, Heidi L et al. (2018) Updated recommendation for the benign stand-alone ACMG/AMP criterion. Hum Mutat 39:1525-1530
Ormond, Kelly E; Hallquist, Miranda L G; Buchanan, Adam H et al. (2018) Developing a conceptual, reproducible, rubric-based approach to consent and result disclosure for genetic testing by clinicians with minimal genetics background. Genet Med :
Strande, Natasha T; Brnich, Sarah E; Roman, Tamara S et al. (2018) Navigating the nuances of clinical sequence variant interpretation in Mendelian disease. Genet Med 20:918-926
Tavtigian, Sean V; Greenblatt, Marc S; Harrison, Steven M et al. (2018) Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework. Genet Med 20:1054-1060
Kelly, Melissa A; Caleshu, Colleen; Morales, Ana et al. (2018) Adaptation and validation of the ACMG/AMP variant classification framework for MYH7-associated inherited cardiomyopathies: recommendations by ClinGen's Inherited Cardiomyopathy Expert Panel. Genet Med 20:351-359

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