TY - JOUR
T1 - GREGoR
T2 - accelerating genomics for rare diseases
AU - GREGoR Partner Members
AU - Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium
AU - NHGRI Program Management
AU - U24HG011746
AU - U01HG011744
AU - U01HG011745
AU - U01HG011762
AU - U01HG011755
AU - U01HG011758
AU - Dawood, Moez
AU - Heavner, Ben
AU - Wheeler, Marsha M.
AU - Ungar, Rachel A.
AU - LoTempio, Jonathan
AU - Wiel, Laurens
AU - Berger, Seth
AU - Bernstein, Jonathan A.
AU - Chong, Jessica X.
AU - Délot, Emmanuèle C.
AU - Eichler, Evan E.
AU - Lupski, James R.
AU - Shojaie, Ali
AU - Talkowski, Michael E.
AU - Wagner, Alex H.
AU - Wei, Chia Lin
AU - Wellington, Christopher
AU - Wheeler, Matthew T.
AU - Yi, S. Stephen
AU - Xia, Bo
AU - Quinlan, Aaron R.
AU - Moore, Jill E.
AU - Li, Yang I.
AU - Farwell Hagman, Kelly D.
AU - Dudley, Aimée
AU - Crawford, Ali
AU - Bujakowska, Kinga M.
AU - Adhikari, Aashish
AU - Carvalho, Claudia M.B.
AU - Gibbs, Richard A.
AU - Gifford, Casey A.
AU - May, Susanne
AU - Miller, Danny E.
AU - Rehm, Heidi L.
AU - Samocha, Kaitlin E.
AU - Sedlazeck, Fritz J.
AU - Vilain, Eric
AU - O’Donnell-Luria, Anne
AU - Posey, Jennifer E.
AU - Chadwick, Lisa H.
AU - Bamshad, Michael J.
AU - Montgomery, Stephen B.
AU - Villard, Gabrielle C.
AU - Currin, Sara
AU - Wong, Quenna
AU - Tong, Catherine C.
AU - Stilp, Adrienne M.
AU - Qi, Guanghao
AU - Prosser, Jaime
AU - Marafi, Dana
N1 - Publisher Copyright:
© Springer Nature Limited 2025.
PY - 2025/11/13
Y1 - 2025/11/13
N2 - Rare diseases are collectively common, affecting approximately 1 in 20 individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in next-generation sequencing, development of new computational and functional genomics approaches to prioritize genes and variants and increased global sharing of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize and evaluate emerging genomics technologies and analytics to accelerate their adoption in clinical practice. Furthermore, all data generated, currently representing over 7,500 individuals from over 3,000 families, are rapidly made available to researchers worldwide through the Analysis, Visualization and Informatics Lab-space (AnVIL) to catalyse global efforts to develop approaches for genetic diagnoses in rare diseases. Most of these families have undergone previous clinical genetic testing but remained unsolved, with most being exome-negative. Here we describe the collaborative research framework, datasets and discoveries comprising GREGoR that will provide foundational resources and substrates for the future of rare disease genomics.
AB - Rare diseases are collectively common, affecting approximately 1 in 20 individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in next-generation sequencing, development of new computational and functional genomics approaches to prioritize genes and variants and increased global sharing of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize and evaluate emerging genomics technologies and analytics to accelerate their adoption in clinical practice. Furthermore, all data generated, currently representing over 7,500 individuals from over 3,000 families, are rapidly made available to researchers worldwide through the Analysis, Visualization and Informatics Lab-space (AnVIL) to catalyse global efforts to develop approaches for genetic diagnoses in rare diseases. Most of these families have undergone previous clinical genetic testing but remained unsolved, with most being exome-negative. Here we describe the collaborative research framework, datasets and discoveries comprising GREGoR that will provide foundational resources and substrates for the future of rare disease genomics.
UR - https://www.scopus.com/pages/publications/105021851259
U2 - 10.1038/s41586-025-09613-8
DO - 10.1038/s41586-025-09613-8
M3 - Review article
C2 - 41224980
AN - SCOPUS:105021851259
SN - 0028-0836
VL - 647
SP - 331
EP - 342
JO - Nature
JF - Nature
IS - 8089
ER -