NeuronGenomicsPeer-reviewed journal article
Genome-wide Identification of the Genetic Basis of Amyotrophic Lateral Sclerosis
Sai ZhangiD, Johnathan Cooper‐KnockiD, Annika K K WeimeriD, Minyi ShiiD, Tobias MolliD, Jack N.G. MarshalliD, Calum HarveyiD, Helia Ghahremani Nezhad, John FrankliniD, Cleide Dos Santos SouzaiD, Ke NingiD, Cheng WangiD, Jingjing LiiD, Allison Ann DilliottiD, Sali M.K. FarhaniD, Eran ElhaikiD, Iris-Stefania PasniceanuiD, Matthew R. LiveseyiD, Chen EitaniD, Eran HornsteiniD, Kevin Patrick KennaiD, Ian P. BlairiD, Naomi R. WrayiD, Matthew C. KiernaniD, Miguel Mitne‐NetoiD, , Michael P. SnyderiD
Abstract
Amyotrophic lateral sclerosis (ALS) is an archetypal complex disease centered on progressive death of motor neurons. Despite heritability estimates of 52%, GWAS studies have discovered only seven genome-wide significant hits, which are relevant to <10% of ALS patients. To increase the power of gene discovery, we integrated motor neuron functional genomics with ALS genetics in a hierarchical Bayesian model called RefMap. Comprehensive transcriptomic and epigenetic profiling of iPSC-derived motor neurons enabled RefMap to systematically fine-map genes and pathways associated with ALS. As a significant extension of the known genetic architecture of ALS, we identified a group of 690 candidate ALS genes, which is enriched with previously discovered risk genes. Extensive conservation, transcriptome and network analyses demonstrated the functional significance of these candidate genes in motor neurons and disease progression. In particular, we observed a genetic convergence on the distal axon, which supports the prevailing view of ALS as a distal axonopathy. Of the new ALS genes we discovered, we further characterized KANK1 that is enriched with coding and noncoding, common and rare ALS-associated genetic variation. Modelling patient mutations in human neurons reduced KANK1 expression and produced neurotoxicity with disruption of the distal axon. RefMap can be applied broadly to increase the discovery power in genetic association studies of human complex traits and diseases.
- organism: human
- assay: whole-genome sequencing
- assay: GWAS summary statistics
- research focus: fine-mapping
- research focus: gene regulatory network inference
- research focus: variant effect prediction
- approach: statistical model
- approach: Bayesian inference
- Citations
- 116
- FWCI
- 13.55
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Genetic analysis of amyotrophic lateral sclerosis identifies contributing pathways and cell types.
Sara Sáez-Atiénzar, Sara Bandrés‐Ciga, … Bryan J. Traynor·Science AdvancesPeer-reviewed·Jan 15, 2021
- Partitioning the genetic architecture of amyotrophic lateral sclerosis
Iris Broce, Chun Chieh Fan, … Rahul S. Desikan·bioRxiv·Feb 24, 2019
- Transcriptional pathways of definitive ALS genes implicate novel disease-associated target genes
Michael R. Fiorini, Allison Ann Dilliott, … Sali M.K. Farhan·medRxiv·Jul 22, 2026
- Harnessing Transcriptomic Signals for Amyotrophic Lateral Sclerosis to Identify Novel Drugs and Enhance Risk Prediction
Oliver Pain, Ashley Jones, … Ammar Al‐Chalabi·HeliyonPeer-reviewed·Jul 29, 2024
- Loss of nucleoporin Nup50 is a risk factor for amyotrophic lateral sclerosis
Salim Megat, Natalia Mora, … Luc Dupuis·medRxiv·Aug 23, 2021
- CREB3 gain of function variants protect against ALS
Salim Megat, Christine Marques, … Caroline Rouaux·bioRxiv·Oct 10, 2024