Mutational Analysis of Known ALS Genes in an Italian Population-Based Cohort

Maurizio Grassano*, Andrea Calvo, Cristina Moglia, Maura Brunetti, Marco Barberis, Luca Sbaiz, Antonio Canosa, Umberto Manera, Rosario Vasta, Lucia Corrado, Sandra D'Alfonso, Letizia Mazzini, Sonja W. Scholz, Clifton Dalgard, Jinhui Ding, Raphael J. Gibbs, Ruth Chia, Bryan J. Traynor, Adriano Chiò

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

ObjectiveTo assess the burden of rare genetic variants and to estimate the contribution of known amyotrophic lateral sclerosis (ALS) genes in an Italian population-based cohort, we performed whole genome sequencing in 959 patients with ALS and 677 matched healthy controls.MethodsWe performed genome sequencing in a population-based cohort (Piemonte and Valle d'Aosta Registry for ALS [PARALS]). A panel of 40 ALS genes was analyzed to identify potential disease-causing genetic variants and to evaluate the gene-wide burden of rare variants among our population.ResultsA total of 959 patients with ALS were compared with 677 healthy controls from the same geographical area. Gene-wide association tests demonstrated a strong association with SOD1, whose rare variants are the second most common cause of disease after C9orf72 expansion. A lower signal was observed for TARDBP, proving that its effect on our cohort is driven by a few known causal variants. We detected rare variants in other known ALS genes that did not surpass statistical significance in gene-wise tests, thus highlighting that their contribution to disease risk in our cohort is limited.ConclusionsWe identified potential disease-causing variants in 11.9% of our patients. We identified the genes most frequently involved in our cohort and confirmed the contribution of rare variants in disease risk. Our results provide further insight into the pathologic mechanism of the disease and demonstrate the importance of genome-wide sequencing as a diagnostic tool.

Original languageEnglish
Pages (from-to)E600-E609
JournalNeurology
Volume96
Issue number4
DOIs
StatePublished - 26 Jan 2021
Externally publishedYes

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