Rare disease gene association discovery in the 100,000 Genomes Project.

Up to 80% of rare disease patients remain undiagnosed after genomic sequencing ¹ , with many probably involving pathogenic variants in yet to be discovered disease-gene associations. To search for such associations, we developed a rare variant gene burden analytical framework for Mendelian diseases, and applied it to protein-coding variants from whole-genome sequencing of 34,851 cases and their family members recruited to the 100,000 Genomes Project ² . A total of 141 new associations were identified, including five for which independent disease-gene evidence was recently published. Following in silico triaging and clinical expert review, 69 associations were prioritized, of which 30 could be linked to existing experimental evidence. The five associations with strongest overall genetic and experimental evidence were monogenic diabetes with the known β cell regulator ^3,4 UNC13A, schizophrenia with GPR17, epilepsy with RBFOX3, Charcot-Marie-Tooth disease with ARPC3 and anterior segment ocular abnormalities with POMK. Further confirmation of these and other associations could lead to numerous diagnoses, highlighting the clinical impact of large-scale statistical approaches to rare disease-gene association discovery.
Competing Interests: Competing interests: The authors declare the following competing interests: D.S. and M.C. were seconded to, and received salary from, Genomics England, a wholly owned Department of Health and Social Care company, from 2016 to 2018 and 2013 to 2021, respectively. E.A.O. has research funding from Kamari Pharma, Pavella Therapeutics, Unilever and the Leo Foundation unrelated to this work. She is CI for a trial for Kamari Pharma and performs consultancy for Kamari Pharma, Azitra and Palvella Therapeutics (all money goes to the university). S.L.Z. has provided consultancy services to Health Lumen. All other authors declare no competing interests.
(© 2025. The Author(s).)