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Large-scale exome analyses reveal new rare variant contributions in amyotrophic lateral sclerosis

  • Paul J. Hop
  • , Maarten Kooyman
  • , Brendan J. Kenna
  • , Ramona A.J. Zwamborn
  • , Kristel R. van Eijk
  • , Yan Wang
  • , Charlotte H. van Dijk
  • , Erwin Bekema
  • , Wouter van Rheenen
  • , Paul Beele
  • , Joke J.F.A. van Vugt
  • , Mamede de Carvalho
  • , Leonard H. van den Berg
  • , Philip Van Damme
  • , Bradley N. Smith
  • , Ahmad Al Khleifat
  • , Alfredo Iacoangeli
  • , Johnathan Cooper-Knock
  • , Bradley N. Smith
  • , Simon Topp
  • Anneke J. van der Kooi, Vera Fominykh, Vivian Drory, Yossef Lerner, Yehuda Shovman, Dominic B. Rowe, Kelly L. Williams, Russell L. McLaughlin, Jessica Hurt, Yunfeng Huang, Chia Yen Chen, Ellen Tsai, Heiko Runz, Eleonora Aronica, Ewout J.N. Groen, Michael A. van Es, R. Jeroen Pasterkamp, Sali M.K. Farhan, Fleur C. Garton, Allan F. McRae, Pamela A. McCombe, Robert D. Henderson, Dongsheng Fan, Lenka Šlachtová, Helle Høyer, Agnes L. Nishimura, Philip Van Damme, Leonard H. van den Berg, Kevin P. Kenna*, Jan H. Veldink*, , , ,
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Amyotrophic lateral sclerosis (ALS) is a heritable disorder where rare variants with low-to-moderate penetrance are thought to dominate genetic risk. To identify such rare variants, we harmonized and analyzed exome data from 22 cohorts, totaling 17,919 individuals with ALS and 200,703 controls across discovery and replication phases. Rare variant analyses identified several new risk genes, with replication confirming association of YKT6 and supporting HTR3C, GBGT1 and KNTC1. We also provide strong, independent validation for genes with limited previous evidence: ARPP21, DNAJC7 and CFAP410. Notably, in ARPP21, we identified a new high-effect variant (p.P747L) and confirmed that p.P563L is an ALS-associated variant leading to an aggressive disease course. Beyond new discoveries, our analyses largely recapitulated the known genetic architecture of ALS, identifying risk variants in over 20% of cases and supporting a cumulative oligogenic risk model. These findings highlight new translational targets and show that rare variant analyses capture substantially more genetic risk than common variant genome-wide association studies.

Original languageEnglish
Pages (from-to)717-725
Number of pages9
JournalNature genetics
Volume58
Issue number4
Early online date31 Mar 2026
DOIs
Publication statusPublished - Apr 2026

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