The New York Genome Center ALS Consortium resource combines postmortem tissue transcriptomics with whole genome sequencing to empower biological discovery
Humphrey, J.; Oku, A.; Byrska-Bishop, M.; Basile, A.; Evani, U. S.; Corvelo, A.; Tokolyi, A.; BP, K.; Real, A.; Kim, Y.; Bond, M.; Clarke, W. E.; Fu, R.; Geiger, H.; Chang, S.; Naito, T.; Jang, B.; Musunuri, R.; Dredge, W.; Al-Abri, R.; Hoover, B. N.; Manaa, D.; McClintock, J.; Singh, F. P.; Pedersen, M. H.; Runnels, A.; Propp, N.; Fennessey, S.; Won, H.-H.; Zody, M. C.; Narzisi, G.; Robine, N.; Lappalainen, T.; Fagegaltier, D.; Gursoy, G.; Knowles, D. A.; Raj, T.; NYGC ALS Consortium, ; Harms, M. B.; Phatnani, H.
Show 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.
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