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. 2022 May 19;13:2799. doi: 10.1038/s41467-022-30387-4

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a–c Correlation between poly(GA) levels and the rate of ALSFRS-R score decline (a), age at disease onset (b), and disease duration (c), determined by two-tailed Spearman’s rank-correlation analysis. d Poly(GA) levels in CSF from symptomatic and asymptomatic patients with C9ORF72 mutations are similar by two-tailed unpaired t-test with Mann–Whitney test. Poly(GA) concentrations are presented as values equivalent to (GA)₆₀ and not as an absolute poly(GA) concentration since the size of poly(GA) in CSF is unknown. The samples assessed in Figs. 2, 3 are overlapping but not identical and include 17 samples for which both poly(GA) and poly(GR) were detected. Source data are provided as a Source Data file.