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GWAS Diversity Monitor

Additional Information
Metric
By Participants
Stage
Discovery
Full counting gives each linked funder one complete publication credit. For example, if a publication lists three funders in PubMed's GrantList, it counts once for each funder—not one third each as fractional counting would. Every GWAS Catalog study accession from that publication is included in each linked funder's filtered view, so funder totals overlap and must not be added together.
Search funding organisations
Full counting gives each named cohort one complete credit for every GWAS Catalog study accession linked to it. If an accession names three cohorts, that accession—and its full recorded participant and ancestry profile—appears in each cohort's filtered view, rather than contributing one third to each under fractional counting. Cohort totals therefore overlap and are not additive; they describe published GWAS linked to a cohort, not the cohort's overall demographics.
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All published GWAS
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Compare funders and cohorts

Compare two selections with the same study stage, publication years and ancestry denominator definition.

Leave a field empty to include all. Multiple choices within a field match any choice; a funder and cohort selection must both match. Selection A starts with your current dashboard selection.

Selection A
Selection B
Shared settings

Export this view

Download the values shown in your charts with the exact view settings, dataset version, counting notes and citations.

Each chart keeps its own year and filters. For a figure, use that chart's image button: SVG and PNG bundles include its plotted CSV and provenance. Bubble SVGs include a raster layer.

Chart data

Counting methods and scope

    Exact plotted values
    Loader

    Total GWAS participants diversity

    Explore an example · chart tips

    Try a recorded funder or cohort, then change the chart years, traits, or discovery/replication stage. Examples use the currently published data; entity totals overlap.

    Example names load when this section opens.

    Use “View data” on any chart for its values, calculation notes, and a keyboard-accessible table. Year buttons change that chart only. Image and CSV exports include the displayed settings and dataset provenance.

    Data details · checked 2026-10-10
    Catalog release date
    2026-10-03
    Last successful update check
    2026-10-10T00:01:58.582858+00:00
    Dashboard dataset version
    gwas-3246a7877d29ffbd06e7d7ea1b4442525b5e4273ae397fab22a0539a1632e3e3
    Dataset generated
    2026-10-06T00:25:50.802207+00:00
    Last successful data run
    2026-10-10T00:02:08.205092+00:00

    Times are shown in UTC. A successful update check can leave the dataset unchanged. Missing dates were not recorded and do not imply that no update occurred.

    Metadata coverage

    Coverage loads when this panel opens.

    Coverage is across all studies in this dataset. Missing metadata does not mean a study was unfunded or had no cohort.

    How metadata is linked ·

    88.4% European
    6.05% Asian
    0.28% African
    2.7% African American or Afro-Caribbean
    1.26% Hispanic or Latin American
    1.31% Other/Mixed

    Ancestry over time by parent term

    Discovery Stage
    OR
    Active area

    Use the arrow keys to inspect the next or previous bubble, Home or End for the first or last, and Escape to clear the selection. Tap a bubble to inspect it. View data opens a table of all plotted records.

    Participants across all parent terms

    Discovery Stage

    Parent term by 'broader' ancestry

    By Participants - Discovery Stage

    Participants by country (all parent terms summed across studies)

    Discovery Stage

    Participants by ancestry

    Discovery Stage

    Count of all associations discovered

    Discovery Stage

    Click to show associations discovered

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    Please cite this as:
    Mills, M.C and Rahal, C., (2020).
    'The GWAS Diversity Monitor Tracks diversity by disease in real time'.
    Nature Genetics, 52, 242-243. doi: 10.1038/s41588-020-0580-y


    Maintained by:
    The Leverhulme Centre for Demographic Science


    Accompanying code library:
    Boef, N., Brunier, Q., Knowles, I., Malowany, A., May, J., Mills, M.C., Misseri, L., Nixon, G., Ntova, V., Rahal, C. and Sinclair, C., (2020). 'Source code for the GWAS Diversity Monitor', (Version v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.3600472