Genomic Knowledge Standards Genomic Knowledge Standards (GKS) Work Stream

Designs technical standards that enable computer-to-computer exchange of information about genomes, improving the search and application of genomic knowledge.

When a doctor worries their patient might have a genetic disease, they can test a person’s genome to find differences (variants) which might cause the disease. The sheer number of variants a person has — around 5 million on average — presents a significant challenge in finding out which variants may impact their clinical care. Even computers struggle to run searches for clinically-important variants because there is no standard language for describing the evidence needed.

The Genomic Knowledge Standards (GKS) Work Stream works to define a common language for computers to describe variants — and the important biomedical knowledge associated with them — that may affect clinical care. As a result, GKS makes it easier for laboratories, researchers, and hospitals to find this information and improve patient health outcomes. 

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Technical description
Standardises the exchange of genomic knowledge through common APIs, schemas, and software. Enables interoperability between diagnostic laboratories, electronic health records, researchers, and knowledge bases — leading to better health outcomes.
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Date

Title

Info

17 May 2024
We invite you to submit nominations for the roles of GKS and DURI Co-Leads.
16 Nov 2023
Join four new GA4GH groups to help shape guidelines for pandemic prep, schema consensus, sequencing metadata, and categorical variants
12 May 2023
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  • Irina Armean
    EMBL's European Bioinformatics Institute (EBI), Hinxton, UK
  • Larry Babb
    Broad Institute of MIT and Harvard, Cambridge, US
  • Salem Bajjali
    Mayo Clinic, Rochester
  • Michael Baudis
    University of Zurich, Zurich
  • Jacqui Beckmann
    Université de Lausanne
  • Nicolas Bertin
    Genome Institute of Singapore, Singapore
  • Steven Brenner
    University of California, Berkeley, Berkely
  • Matt Brush
    Oregon Health & Science University, Portland
  • Daniel Cameron
    Walter and Eliza Hall Institute of Medical Research, Parkville
  • Evan Christensen
    University of Utah, Salt Lake City
  • Melissa Cline
    University of California, Santa Cruz, Santa Cruz
  • Raymond Dalgleish
    University of Leicester, Leicester, UK
  • Karen Eilbeck
    University of Utah, Salt Lake City
  • Ramon Felciano
    Digital Alchemy
  • Kyle Ferriter
    Broad Institute of MIT and Harvard, Cambridge, US
  • Robert Freimuth
    Mayo Clinic, Rochester
  • Kais Ghedira
    Institut Pasteur de Tunis
  • Wesley Goar
    Nationwide Children’s Hospital, Columbus, OH
  • Malachi Griffith
    The Genome Institute at Washington University, Saint Louis, Variant Interpretation for Cancer Consortium (VICC), International
  • Roderic Guigo
    Centre for Genomic Regulation, Barcelona
  • Melissa Haendel
    UNC School of Medicine
  • Reece Hart
    MyOme
  • Seik-Soon Khor
    National Center for Global Health and Medicine
  • Melissa Konopko
    ELIXIR, International
  • Kori Kuzma
    Nationwide Children’s Hospital, Columbus, OH
  • Jennifer Lee
    Sequencing.com, https://sequencing.com
  • Christa Lese Martin
    Geisinger Health System, Danville
  • Xuelu (Jeff) Liu
    Dana-Farber Cancer Institute, Boston
  • Javier Lopez
    Genomics England
  • John Marshall
    Centre for Population Genomics
  • John McDermott
    Manchester University NHS Foundation Trust
  • Eric Moyer
    NIH National Center for Biotechnology Information (NCBI)
  • Jean Muller
    Laboratoire de génétique médicale (UMR_S 1112)
  • Tristan Nelson
    Geisinger Health System, Danville
  • Vivek Nuthalapati
    Epic Systems
  • Francis Ouellette
    McGill University / Université McGill, Montréal, Canada
  • Rahel Paloots
    University of Zurich, Zurich
  • Andreas Prlić
    Invitae, Inc., San Francisco
  • Daniel Puthawala
    Nationwide Children’s Hospital, Columbus, OH
  • Heidi Rehm
    Massachusetts General Hospital, Boston, Broad Institute of MIT and Harvard, Cambridge, US
  • Kevin Riehle
    Baylor College of Medicine
  • Emilio Righi
    Centre for Genomic Regulation, Barcelona
  • Videha Sharma
    Manchester University
  • Anastasia Smith
    Nationwide Children’s Hospital, Columbus, OH
  • Dmitriy Sonkin
    NIH National Cancer Institute (NCI), Bethesda
  • Kathryn Stahl
    Nationwide Children’s Hospital, Columbus, OH
  • David Steinberg
    University of California, Santa Cruz, Santa Cruz
  • James Stevenson
    Nationwide Children’s Hospital, Columbus, OH
  • Jing Su
    Wellcome Sanger Institute (WSI), Hinxton, UK
  • David Tamborero
    Karolinska Institutet
  • Mrinal Thomas
    Epic Systems
  • Sean Upchurch
    California Institute of Technology, Pasadena
  • Alex Wagner
    Nationwide Children’s Hospital, Columbus, OH, Variant Interpretation for Cancer Consortium (VICC), International
  • Ziying Yang
    University of Zurich, Zurich
  • Zhenyu Zhang
    University of Chicago, Chicago
  • Hangjia Zhao
    University of Zurich, Zurich
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News, events, and more

Catch up with all news and articles associated with Genomic Knowledge Standards (GKS) Work Stream.

big genomic data visualization
News
11 Jun 2026
GA4GH Work Streams evolve to match the scale of modern genomics
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Products in Action
15 Apr 2026
GA4GH Product in Action: GA4GH standards implementation at Ensembl
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