Data Release - GREGoR Consortium

July 25, 2025

The third data release from the GREGoR Consortium (Genomics Research to Elucidate the Genetics of Rare diseases) is now available on AnVIL for controlled access by the broader scientific community. Additionally, the GREGoR Consortium has developed a publicly available open-access variant browser that enables searches for variants of interest across the Consortium joint, short-read whole genome callset.

The GREGoR Consortium has assembled a dataset of broad utility. All participants have broadly consented for General Research Use or Health, Medical, or Biomedical research. The Consortium data aligns with the GREGoR Data Model, designed to provide context and information to support analysis and secondary use of the data. Additional documentation, including how to apply for access, is available on the GREGoR Consortium’s Data webpage.

This third data release consists of 7,394 participants and more than 3,000 families. For these participants, the GREGoR Consortium Dataset includes family, pedigree, and phenotype information. Genomic data, such as short-read DNA and RNA sequencing data, are available for the majority of GREGoR participants (see table below). The GREGoR Dataset also includes candidate genetic findings identified by participating GREGoR Research Centers. In this release, a subset of short-read whole genome sequencing data is uniformly processed by the GREGoR Data Coordinating Center, which is used to generate a Consortium joint callset for small variants (SNVs and Indels).

Available Data

Release R01Release R02Release R03
Release DateSeptember 2023November 2024July 2025
Participants2,512 (1,130 affected)7,394 (3,555 affected)8,840 (4,127 affected)
Families9903,0593,610
Short-read whole exomes9972,2422,284
Short-read whole genomes1,4415,1806,535
Long-read whole genomes02141,772
RNA-seq files192539860
Genome BuildGRCh38GRCh38GRCh38

Acknowledgements and attribution

The GREGoR Acknowledgements and attribution statement are available at the dbGaP study page. You can learn more about GREGoR at https://gregorconsortium.org.


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