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Welcome to the Genomic Information Commons

 

The Genomic Information Commons (GIC) is a continuously updating, queryable, federated genomic data commons. Inspired by a common vision of accelerated genomic research discovery, collaboration, and improved clinical outcomes, leaders at Boston Children’s Hospital (BCH), Harvard Medical School, Cincinnati Children’s Hospital Medical Center (CCHMC), the Children’s Hospital of Philadelphia (CHOP), St. Louis Children’s Hospital (SLCH)/Washington University at St. Louis (WUSTL), and the University of Pittsburgh Medical Center (UPMC) have come together to create the GIC. The GIC has expanded to include Riley Hospital for Children (RHC), Rady Children's Hospital San Diego (RCHSD), and Le Bonheur Children's Hospital (LBCH) at the University of Tennessee Health Science Center (UTHSC). The GIC has established highly scalable technologies, policies, and procedures for sharing genomic data, phenotypic data, and biospecimen metadata on broadly consented cohorts, across sites of care.

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For Institutions

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  • Leverages scalable, open source and free technologies, policies, and procedures for sharing genomic data, phenotypic data, and biospecimen metadata

  • Provides access to multi-institutional data representative of a broad range of demographics and conditions

  • Enables institutions to remain competitive in their pursuit of mission critical research activities

  • Facilitates a federated governance model with data stored locally

  • Builds on legacy health IT infrastructure

  • Provides documentation and support

  • Has no membership fee  See more >>

For Patients & Families

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  • Drives research discovery for all conditions and diseases

  • Accelerates efforts to develop potential therapies for all conditions and diseases

  • Enhances clinical care for patients​

  • Champions patient-centered research and outcomes

  • Champions diverse and inclusive representation in research

  • Ensures that research participants' data is stored safely and securely at the hospital they are affiliated with

  • Provides the opportunity for patients and families to make a difference in their and future generations' health care  See more >>

For Researchers & Clinicians

 

  • Provides access to the first data commons combining queryable genomic data, rich EHR-derived phenotypic data, and biospecimen metadata on broadly consented cohorts 

  • Leverages a multi-institutional patient population of diverse backgrounds with unparalleled representation across the spectrum of diseases

  • Uses natural language processing to mine EHR clinical data from textual notes

  • Facilitates inter-institutional research collaboration

  • Catalyzes genomic research discovery across diseases

  • Accelerates efforts to develop potential therapies for patients

  • Potential use of the data resource in clinical care  See more >>

For the Health Care System 

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  • Elucidates the role of genetic variation in human disease

  • Leverages a scalable model, to modularly bring on additional sites

  • Connects a fragmented health care system, resulting in greater inter-institutional collaboration, access to multi-institutional data, and combined resources

  • Drives research discoveries and improves health outcomes for populations

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