About us
Learn how GA4GH helps expand responsible genomic data use to benefit human health.
Learn how GA4GH helps expand responsible genomic data use to benefit human health.
Our Strategic Road Map defines strategies, standards, and policy frameworks to support responsible global use of genomic and related health data.
Discover how a meeting of 50 leaders in genomics and medicine led to an alliance uniting more than 5,000 individuals and organisations to benefit human health.
GA4GH Inc. is a not-for-profit organisation that supports the global GA4GH community.
The GA4GH Council, consisting of the Executive Committee, Strategic Leadership Committee, and Product Steering Committee, guides our collaborative, globe-spanning alliance.
The Funders Forum brings together organisations that offer both financial support and strategic guidance.
The EDI Advisory Group responds to issues raised in the GA4GH community, finding equitable, inclusive ways to build products that benefit diverse groups.
Distributed across a number of Host Institutions, our staff team supports the mission and operations of GA4GH.
Curious who we are? Meet the people and organisations across six continents who make up GA4GH.
More than 500 organisations connected to genomics — in healthcare, research, patient advocacy, industry, and beyond — have signed onto the mission and vision of GA4GH as Organisational Members.
These core Organisational Members are genomic data initiatives that have committed resources to guide GA4GH work and pilot our products.
This subset of Organisational Members whose networks or infrastructure align with GA4GH priorities has made a long-term commitment to engaging with our community.
Local and national organisations assign experts to spend at least 30% of their time building GA4GH products.
Anyone working in genomics and related fields is invited to participate in our inclusive community by creating and using new products.
Wondering what GA4GH does? Learn how we find and overcome challenges to expanding responsible genomic data use for the benefit of human health.
Study Groups define needs. Participants survey the landscape of the genomics and health community and determine whether GA4GH can help.
Work Streams create products. Community members join together to develop technical standards, policy frameworks, and policy tools that overcome hurdles to international genomic data use.
GIF solves problems. Organisations in the forum pilot GA4GH products in real-world situations. Along the way, they troubleshoot products, suggest updates, and flag additional needs.
NIF finds challenges and opportunities in genomics at a global scale. National programmes meet to share best practices, avoid incompatabilities, and help translate genomics into benefits for human health.
Communities of Interest find challenges and opportunities in areas such as rare disease, cancer, and infectious disease. Participants pinpoint real-world problems that would benefit from broad data use.
Find out what’s happening with up to the minute meeting schedules for the GA4GH community.
See all our products — always free and open-source. Do you work on cloud genomics, data discovery, user access, data security or regulatory policy and ethics? Need to represent genomic, phenotypic, or clinical data? We’ve got a solution for you.
All GA4GH standards, frameworks, and tools follow the Product Development and Approval Process before being officially adopted.
Learn how other organisations have implemented GA4GH products to solve real-world problems.
Help us transform the future of genomic data use! See how GA4GH can benefit you — whether you’re using our products, writing our standards, subscribing to a newsletter, or more.
Help create new global standards and frameworks for responsible genomic data use.
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Want to advance both your career and responsible genomic data sharing at the same time? See our open leadership opportunities.
Join our international team and help us advance genomic data use for the benefit of human health.
Share your thoughts on all GA4GH products currently open for public comment.
Solve real problems by aligning your organisation with the world’s genomics standards. We offer software dvelopers both customisable and out-of-the-box solutions to help you get started.
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19 Apr 2023
GA4GH Connect 2023 was held 19 to 21 April 2023 at the Royal Society of London, UK, and virtually. Read more below.
The working meeting gathered 188 in-person attendees and 219 virtual attendees, representing more than 30 countries. Attendees joined 26 working sessions over three days. Watch recordings and read minutes of the sessions. GA4GH celebrated its 10th anniversary in a fireside chat with Research Data Alliance (RDA) and a reception with a toast from GA4GH CEO Peter Goodhand.
The meeting was initiated by Chair Ewan Birney, who outlined the expected behaviour and . a summary of the agenda for the meeting.
GA4GH CEO Peter Goodhand and Research Data Alliance (RDA) CEO Hilary Hanahoe met for a fireside chat, where they reflected on both organisations’ tenth anniversaries, discussed major milestones achieved, and shared future plans towards advancing open and FAIR data sharing.
Representatives from GA4GH Work Streams and initiatives presented updates on their progress, goals for the Connect meeting, and next steps for implementation.
Speakers from Australian Genomics and the European Genomic Data Infrastructure highlighted notable practical applications of GA4GH products in the real world.
The Variant Annotation (VA) specification will provide a framework to define schema for different types of variant knowledge statements that are rooted in a common underlying conceptual model so that they can be understood and used together in working data systems.
To date, the VA team has focused on an implementation-driven development approach, wherein Driver Projects directly define initial drafts of statement models to support working systems with real data. For example, ClinGen and the VICC are developing models for Variant Pathogenicity and Therapeutic Response Statements, to support the exchange of ClinVar and CIViC data between their variant curation platforms. As these implementation models are tested and refined in real-world applications, the VA team will oversee their coalescence and hardening into standard models that can be used by the broader community.
This Connect session provided an overview of an initial v1.0 release of the VA spec and gave updates about work by the VA team. They discussed specific challenges related to coordination with other GKS standards, as well as infrastructure needed to support an implementation-led development paradigm. Finally, they engaged the larger GA4GH community for feedback and requirements.
The key takeaways from the session are:
The REWS General Meeting brought together all contributors across all subgroups to discuss topics relevant to the full Work Stream. This session included subgroup updates, updates from Driver Projects, community updates, and discussion around the road map directions.
This session showcased the status of various GA4GH-based compute/cloud solutions through live demos and presentations, with a focus on compute federation. Presentations were followed by an open-floor discussion about the current limitations and specific requirements of federated compute, and their implications for future developments of relevant GA4GH standards.
The key takeaways are;
This session presented the policy developed by the Diversity in Datasets subgroup of REWS. Participants workshopped ways to strengthen this policy proposal and ensure the output can be useful and accessible in practice.
This cross-Work-Stream meeting supported efforts to develop a federal variant matching platform across different databases.
The goal of this session was to discuss together the results of “Future of VCF” resources/initiatives benchmarking according to benchmarking metrics drafted by the working group. They evaluated and aggregated the results to produce a summary document highlighting trends, conclusions, and next steps.
The key takeaways from the session are:
This session explored how standards from the Cloud and Discovery Work Streams can be used together to:
The session also aimed to bring closure through a path forward involving both Work Streams.
The key takeaways from the session are:
The speakers showed developments happening with Crypt4GH and demonstrated existing use cases.
They key takeaways are:
This session examined the dynamic role of consent for the processing of genetic/genomic biological materials and associated data in an evolving European data-driven society. It explored how the evolution of consent for health-related research — with specific attention to genetic/genomic biological materials and associated data — is increasingly driven by data and AI policies in European legislation from the GDPR to the DGA, EHDS, AI Act, and EOSC.
The session was interactive and created a space for open discussion on a critical topic of importance to ethics and citizen rights, at the interface between data, AI systems, and genetic/genomic research.
The session elucidated the developing legal and ethical relationship between the data subject and his/her data, examining how evolution in consent frameworks and requirements impacts fundamental concepts of privacy, control, and governance in genetic/genomic research.
The session looked at the ongoing modifications of consent, from “taking control over one’s data” to questions of “legacy consent” to “broad consent” to “informed choice” to “data donation” to “a common European data altruism consent form” for genetic/genomic research. Where will consent land for human biological materials and associated data in genetic/genomic research in the evolving EU context, where machine learning and AI are developed in regulatory sandboxes for uses in the European Health Data Space?
The session confronted genetic/genomic research with the evolving role and understanding of consent within the fundamental EU Charter rights, and the ethics of high-risk AI systems developed for data management in data sharing and open-science structures.
Development of specifications to address new concerns in genomic knowledge sharing requires iterative improvement over time. When these components are designed to work interoperably with other data standards and frameworks, there needs to be clear communication with the GA4GH user community about the maturity and availability of the data classes from these specifications.
The GKS Work Stream has developed a maturity model and versioning system for communicating the readiness and stability of new specifications. GKS has applied this in a variety of scenarios from experiences in the development of the VRS and VA specifications.
Pagination is currently handled by several GA4GH specs, but there is not necessarily interoperability between them. A goal for this session was to determine whether there is a benefit in converging upon a minimal common pagination schema that existing specs can make use of, and discuss what that would look like. The session will showcased the group’s work on the TASC governance document.
Speakers presented and reviewed the current work that has been produced by the Public Attitudes for Genomic Policy group to date. They then led a workshop to identify what is missing from our knowledge of public attitudes towards genomics and genomic data sharing to help us inform a further public attitudes study.
Development of specifications to address new concerns in genomic knowledge sharing requires iterative improvement over time. When these components are designed to work interoperably with other data standards and frameworks, there needs to be clear communication with the GA4GH user community about the maturity and availability of the data classes from these specifications.
The GKS Work Stream has developed a maturity model and versioning system for communicating the readiness and stability of new specifications. GKS has applied this in a variety of scenarios from experiences in the development of the VRS and VA specifications.
In this session, GA4GH staff (with support from the EDI Advisory Group) presented their plans for an EDI Strategic Plan. This plan is being developed as a tool to hold GA4GH accountable for real and actionable steps toward creating a more equitable, diverse, and inclusive environment. The session was used to collect feedback from the GA4GH community to ensure that the plan’s priorities and goals reflect their experiences with issues of EDI at GA4GH.
The GA4GH Variation Representation Specification (VRS) was initially released in 2019. Since then, GKS has released two minor version updates, and an upcoming v1.3 release supporting genotypes. With the growing uptake of VRS in knowledge-base and genomic information systems, as well as within larger message structures (e.g. Beacon and Phenopackets), the group has identified several key features for enabling use of VRS in these settings.
In this session, they reviewed these key features and outlined the vision for the second major version of VRS.
The recording will be valuable for anyone interested in variation representation integration into system-to-system exchange and genomic databases.
This session featured updates on what’s new in the v1.2 Passports release and hosted an open discussion about possible next steps for AAI and Passports.
This session brought together the Phenopackets and Beacon development teams, as well as those interested in cohort discovery and querying, to explore how to optimise Phenopackets and Beacon integration and enable Phenopackets queries across cohorts.
This session demonstrated how GA4GH standards have been used within the CINECA project, and detailed the lessons learned in trying to implement a set of discovery, access, and analysis use cases.
The group identified the gaps and issues that exist, ways existing GA4GH standards can be further developed or new standards defined to can address these issues, and which Work Streams may have an interest in addressing these issues. They also identified other projects, GIF projects, and Driver Projects able to address these issues in the future to ensure the lessons learned in CINECA are not lost once the project ends.
This session was a meeting of the GA4GH Cancer Community (G-CC). G-CC was established in 2020 as a forum for researchers, clinicians, and technical experts to define, discuss, and advance real-world cancer use cases through the implementation of GA4GH interoperability standards. In this session, participants learned more about developments in the cancer genomics field from an invited speaker. The discussion focussed on ways that GA4GH products could be used to advance real-world oncological use cases.
An overview of the efforts to ingest genomic knowledge across resources and use genomic knowledge standards (GKS) to match genomic findings from the clinical setting to these aggregate knowledge sources was presented. The group also reviewed how genetic testing orders, results, and associated genomic data are transmitted between labs and providers using Epic.
Gaps in the representation and completeness of genomic data, and how this is associated with genomic knowledge sources, was reviewed, and challenges presented by these gaps were assessed.
The session concluded with a discussion of how development and adoption of GA4GH genomic knowledge standards can help address these challenges and reduce burden on genomic data providers and consumers.
The key takeaways from the session are:
This session was a recap of other sessions relevant to GKS activities at April Connect 2023, with cross-team planning for the 2023 Q2/Q3 road map.
Anyone with an interest in developing and applying the GA4GH genomic knowledge standards should watch the recording.
The key takeaways from the session are:
Metadata describing -omics experiments is crucial to make sense of results that are available to the community. For instance, a CRAM document provides results of a sequencing experiment, but one needs to understand whether the data is from a whole genome sequencing experiment, RNA-Seq, ATAC-Seq, etc.
In this GA4GH Study Group, they assessed whether a minimal specification could be established to better characterise -omics datasets.
The goal was not to organise full recipes to make an experiment reproducible, but rather to provide enough information to understand what the experiment is about. What “enough information” means is subject to further discussion in this Study Group.
System builders were invited to test or pre-test their implementations. They were also welcome to bring feedback for aggregation and comparison with other implementations, leading to proposed changes to the test suite and specifications.
The key takeaways from this session are:
This session described the current status of the Sequence Collections project and connected interested individuals with relevant work.
The key takeaways from this session are 3 discussion topics:
The session provided discussion and interaction to identify a model which reflects the complementary roles of the Discovery standards.
They also discussed findings from the following April Connect sessions:
The GA4GH Infectious Disease Community convenes international groups focused on advancing human genomics for the purpose of treating and diagnosing infectious diseases. It interfaces and collaborates with the pathogen genomics community, specifically through a partnership with the Public Health Alliance for Genomic Epidemiology (PHA4GE). In this session, Anja Bedeker (PHA4GE) facilitated a discussion on research ethics, including benefit sharing and risk analysis as it relates to infectious disease.
The GA4GH Implementation Forum (GIF) was officially launched at this session! GIF is where the potential and power of GA4GH standards are recognized. The forum guides diverse scientific and clinical groups as they identify real-world use cases that can benefit from the end-to-end implementation of GA4GH products.
In this session, participants learned about:
There was also time at the end of the session for participants to propose their own GIF Project ideas.