? Overall 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 short if they remain disconnected. The ClinGen 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) Share genomic and phenotypic data between clinicians, researchers, and patients through centralized and federated databases for clinical and research use; 2) Develop and implement standards to support clinical annotation and interpretation of genes and variants; 3) Develop data standards, software infrastructure and computational approaches to enable curation at scale and facilitate integration into healthcare delivery; 4) Enhance and accelerate expert review of the clinical relevance of genes and variants; and 5) Disseminate and integrate ClinGen knowledge and resources to the broader community. The proposal innovates by utilizing novel approaches for the assessment of genes and variants that are robust and reproducible, and by establishing an ecosystem of expert curation groups that apply standardized procedures, 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

? Overall The Clinical Genome 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
Biotechnology Resource Cooperative Agreements (U41)
Project #
1U41HG009650-01
Application #
9359760
Study Section
Special Emphasis Panel (ZHG1)
Program Officer
Ramos, Erin
Project Start
2017-09-12
Project End
2021-07-31
Budget Start
2017-09-12
Budget End
2018-07-31
Support Year
1
Fiscal Year
2017
Total Cost
Indirect Cost
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
Brnich, Sarah E; Rivera-Muñoz, Edgar A; Berg, Jonathan S (2018) Quantifying the potential of functional evidence to reclassify variants of uncertain significance in the categorical and Bayesian interpretation frameworks. Hum Mutat 39:1531-1541
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
Popejoy, Alice B; Ritter, Deborah I; Crooks, Kristy et al. (2018) The clinical imperative for inclusivity: Race, ethnicity, and ancestry (REA) in genomics. Hum Mutat 39:1713-1720
Riggs, Erin Rooney; Azzariti, Danielle R; Niehaus, Annie et al. (2018) Development of a consent resource for genomic data sharing in the clinical setting. Genet Med :
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
Rivera-Muñoz, Edgar A; Milko, Laura V; Harrison, Steven M et al. (2018) ClinGen Variant Curation Expert Panel experiences and standardized processes for disease and gene-level specification of the ACMG/AMP guidelines for sequence variant interpretation. Hum Mutat 39:1614-1622
Webber, Elizabeth M; Hunter, Jessica Ezzell; Biesecker, Leslie G et al. (2018) Evidence-based assessments of clinical actionability in the context of secondary findings: Updates from ClinGen's Actionability Working Group. Hum Mutat 39:1677-1685
Pawliczek, Piotr; Patel, Ronak Y; Ashmore, Lillian R et al. (2018) ClinGen Allele Registry links information about genetic variants. Hum Mutat 39:1690-1701
Iacocca, Michael A; Chora, Joana R; Carrié, Alain et al. (2018) ClinVar database of global familial hypercholesterolemia-associated DNA variants. Hum Mutat 39:1631-1640

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