Cumulative Genetic Score and <i>C9orf72</i> Repeat Status Independently Contribute to Amyotrophic Lateral Sclerosis Risk in 2 Case-Control Studies
John Dou, Kelly M. Bakulski, Kai Guo, Junguk Hur, Lili Zhao, Sara Sáez-Atiénzar, Ali Stark, Ruth Chia, Alberto García‐Redondo, Ricardo Rojas‐García, Juan F. Vázquez‐Costa, Rubén Fernández‐Santiago, Sara Bandrés‐Ciga, Pilar Gómez‐Garre, María Teresa Periñán, Pablo Mir, Jordi Pérez‐Tur, Fernando Cardona, Manuel Menéndez‐González, Javier Riancho, Daniel Borrego‐Hernández, L. Galán-Dávila, Jon Infante Ceberio, Pau Pástor, Carmen Paradas, Oriol Dols‐Icardo, Bryan J. Traynor, Eva L. Feldman, Stephen A. Goutman, Jes ́us Esteban- P ́erez, Pilar Cordero- V ́azquez, Sevilla Teresa, Adolfo L ́opez de Munain, Julio Pardo- Fern ́andez, Ivonne Jeric ́o- Pascual, Ellen Gelpi Mantius, Janet Hoenicka, Victoria Alvarez Martinez, F. Garrido, Katrin Beyer, Jordi Clarim ́on Echevarr ́ıa
Abstract
Background and Objectives: Most patients with amyotrophic lateral sclerosis (ALS) lack a monogenic mutation. This study evaluates ALS cumulative genetic risk in an independent Michigan and Spanish replication cohort using polygenic scores. Methods: Participant samples from University of Michigan were genotyped and assayed for the chromosome 9 open reading frame 72 hexanucleotide expansion. Final cohort size was 219 ALS and 223 healthy controls after genotyping and participant filtering. Polygenic scores excluding the C9 region were generated using an independent ALS genome-wide association study (20,806 cases, 59,804 controls). Adjusted logistic regression and receiver operating characteristic curves evaluated the association and classification between polygenic scores and ALS status, respectively. Population attributable fractions and pathway analyses were conducted. An independent Spanish study sample (548 cases, 2,756 controls) was used for replication. Results: ). The population attributable fraction of the highest 20th percentile of ALS polygenic scores, relative to the lowest 80th percentile, was 4.1% of ALS cases. Genes annotated to this polygenic score enriched for important ALS pathomechanisms. Meta-analysis with the Spanish study, using a harmonized 132 single nucleotide variation polygenic score, yielded similar logistic regression findings (odds ratio: 1.13, 95% CI 1.04-1.23). Discussion: ALS polygenic scores can account for cumulative genetic risk in populations and reflect disease-relevant pathways. If further validated, this polygenic score will inform future ALS risk models.