1. Mutational Analysis of Known ALS Genes in an Italian Population-Based Cohort
- Author
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Maura Brunetti, Sandra D'Alfonso, Luca Sbaiz, Cristina Moglia, Raphael Gibbs, Marco Barberis, Ruth Chia, Rosario Vasta, Umberto Manera, Bryan J. Traynor, Letizia Mazzini, Maurizio Grassano, Adriano Chiò, Antonio Canosa, Andrea Calvo, Jinhui Ding, Clifton L. Dalgard, Lucia Corrado, and Sonja W. Scholz
- Subjects
Adult ,Male ,0301 basic medicine ,DNA Mutational Analysis ,Population ,Disease ,Biology ,TARDBP ,Article ,Cohort Studies ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,80 and over ,medicine ,Humans ,Genetic Predisposition to Disease ,Amyotrophic lateral sclerosis ,education ,Aged ,Aged, 80 and over ,Genetics ,Whole genome sequencing ,education.field_of_study ,C9orf72 Protein ,Amyotrophic Lateral Sclerosis ,Case-Control Studies ,Female ,Italy ,Middle Aged ,Population Surveillance ,Case-control study ,medicine.disease ,030104 developmental biology ,Cohort ,Neurology (clinical) ,030217 neurology & neurosurgery ,Cohort study - 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.
- Published
- 2020