The New York Genome Center ALS Consortium resource integrates postmortem tissue transcriptomics and whole genome sequencing to empower biological discovery

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Authors: Jack Humphrey, Ali Oku, Marta Byrska-Bishop, Anna Okula Basile, Uday Shanker Evani, André Corvelo, Alex Tokolyi, Kailash BP, Aline Réal, Yebin Kim, Marielle Bond, Wayne E. Clarke
+27 more Rui Fu, Heather M. Geiger, Sei Chang, Tatsuhiko Naito, Beomijin Jang, Rajeeva Musunuri, Winston H. Dredge, Rashid Al-Abri, Benjamin N. Hoover, Dina Manaa, Jaime McClintock, Faith P. Singh, Maria Hauge Pedersen, Alexi M. Runnels, Nadia Propp, Samantha Fennessey, Hong-Hee Won, Michael C. Zody, Giuseppe Narzisi, Nicolas Robine, Tuuli Lappalainen, Delphine Fagegaltier, Gamze Gürsoy, David A. Knowles, Towfique Raj, Matthew B. Harms, Hemali Phatnani
Cited by: 1
References: 119

Abstract

Abstract Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease with substantial genetic and clinical heterogeneity that impedes therapeutic development. Large-scale multi-tissue genomic resources have transformed the study of neuropsychiatric and neurodegenerative diseases, but no equivalent resource exists for ALS. Here we present the full NYGC ALS Consortium dataset, combining whole-genome sequencing from 4,746 donors and bulk RNA-seq from 2,574 samples across 8 brain and spinal cord regions from 695 donors across the ALS disease spectrum. Our catalogue of small variants, structural variants, and short tandem repeats identified likely pathogenic mutations in 15.6% of ALS cases. Gene expression and mRNA splicing analysis across 5 major tissues reveals shared and region-specific features, highlighting microglial and T-cell dysregulation in the spinal cord. Mapping the genetic regulation of expression and splicing across tissues identified associations with 6 ALS risk loci, whereas allele-specific rare variant analysis detected expression effects for C9orf72 and OPTN . All data are immediately publicly available.

Fields of Study & Subjects

Amyotrophic Lateral Sclerosis Research Genetic Neurodegenerative Diseases Neuroinflammation and Neurodegeneration Mechanisms

Publication details

Journal / source
medRxiv
Publisher
openRxiv
Publication date
4 May 2026
Language
EN
Document type
Preprint