Although knowledge in the field of human genetics has greatly increased since the time of the Human Genome Project, we still do not fully understand all of the ways in which genomic variation contributes to human health and disease. This proposal represents one of three linked U41 applications to continue support for the Clinical Genome Resource (ClinGen; www.clinicalgenome.org). The main goals of the ClinGen project are to support the deposition of genomic and health data into the public domain by all stakeholders, including patients, clinicians, laboratories, and researchers, develop methods and an informatics infrastructure to answer critical questions of the data (curation), and create a genomic knowledge base that makes this information available to the community for improved patient care. We have structured this proposal into five overarching aims to meet ClinGen's goals: 1) data sharing, 2) standardized approaches to interpretation of genes and variants, 3) software and informatics infrastructure to support and enhance interpretation, 4) community-driven efforts for curation and interpretation, and 5) outreach to maximize the impact of the ClinGen resource. To make high-quality genomic variant data available to the public, we will build upon the standards, experience and infrastructure we have developed during our first funding period. We will capitalize on our collaborative relationships with clinical laboratories to capture the clinical-grade interpretations of millions of genetic sequencing tests generated through the course of routine patient clinical care. All genomic variants and their interpretations will continue to be submitted to and made accessible through our partnership with the ClinVar database within NIH's National Center for Biotechnology Information (NCBI). We will also help to augment the genomic data with phenotype data collected through GenomeConnect, ClinGen's patient registry for individuals who have had genetic testing. ClinGen will use this shared genomic and health information to answer critical questions regarding relevance to human health and disease around clinical validity for gene/disease associations, variant pathogenicity and clinical actionability. Clinical Domain Working Groups (CDWG) and Expert Panels (EP) will enable disease experts to curate sets of genes and variants following approaches developed as part of the ClinGen project. Finally, we will make the ClinGen knowledge base widely available by developing ?clinician-friendly? user interfaces and supporting automatic EHR updates through the newly developed ClinGen EHR App to improve the quality of patient care through genomic medicine.

Public Health Relevance

Hundreds of thousands of disease-causing variants have been identified in patients with disease, yet only a small fraction of that data, and the interpretation of it, is accessible to researchers and clinicians. This project will serve to collect and organize genomic data from many sources into a free and publically accessible environment and enable expert curation of that data for use in improving healthcare and biomedical research.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Biotechnology Resource Cooperative Agreements (U41)
Project #
2U41HG006834-04
Application #
9359632
Study Section
Special Emphasis Panel (ZHG1)
Program Officer
Brooks, Lisa
Project Start
2013-09-23
Project End
2021-07-31
Budget Start
2017-09-12
Budget End
2018-07-31
Support Year
4
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
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
Shen, Lishuang; Attimonelli, Marcella; Bai, Renkui et al. (2018) MSeqDR mvTool: A mitochondrial DNA Web and API resource for comprehensive variant annotation, universal nomenclature collation, and reference genome conversion. Hum Mutat 39:806-810
Wain, Karen (2018) A Commentary on Opportunities for the Genetic Counseling Profession through Genomic Variant Interpretation: Reflections from an Ex-Lab Rat. J Genet Couns 27:747-750
Oza, Andrea M; DiStefano, Marina T; Hemphill, Sarah E et al. (2018) Expert specification of the ACMG/AMP variant interpretation guidelines for genetic hearing loss. Hum Mutat 39:1593-1613
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 :
Bush, Lynn W; Beck, Anita E; Biesecker, Leslie G et al. (2018) Professional responsibilities regarding the provision, publication, and dissemination of patient phenotypes in the context of clinical genetic and genomic testing: points to consider-a statement of the American College of Medical Genetics and Genomics (AC Genet Med 20:169-171
Prado, Maria G; Iversen, Maura D; Yu, Zhi et al. (2018) Effectiveness of a Web-Based Personalized Rheumatoid Arthritis Risk Tool With or Without a Health Educator for Knowledge of Rheumatoid Arthritis Risk Factors. Arthritis Care Res (Hoboken) 70:1421-1430
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
Sanghvi, Rashesh V; Buhay, Christian J; Powell, Bradford C et al. (2018) Characterizing reduced coverage regions through comparison of exome and genome sequencing data across 10 centers. Genet Med 20:855-866

Showing the most recent 10 out of 78 publications