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Disease related changes in ATAC-Seq of more than 450 iPSC-derived motor neuron lines from ALS patients and controls

Stanislav Tsitkov, Kelsey Valentine, Velina KozarevaiD, Aneesh DondeiD, Aaron P. Frank, Susan LeiiD, Jennifer E. Van EykiD, Steven M. FinkbeineriD, Jeffrey D. RothsteiniD, Leslie Michels ThompsoniD, Dhruv SareeniD, Clive Niels SvendseniD, Ernest FraenkeliD

Abstract

Amyotrophic Lateral Sclerosis (ALS), like many other neurodegenerative diseases, is highly heritable, but with only a small fraction of cases explained by monogenic disease alleles. To better understand sporadic ALS, we report epigenomic profiles, as measured by ATAC-seq, of motor neuron cultures derived from a diverse group of 380 ALS patients and 80 healthy controls. We find that chromatin accessibility is heavily influenced by sex, the iPSC cell type of origin, ancestry, and the inherent variance arising from sequencing. Once these covariates are corrected for, we are able to identify robust ALS-specific signals in the data. Additionally, we find that the ATAC-seq data is able to predict ALS disease progression rates with similar accuracy to methods based on biomarkers and clinical status. These results suggest that iPSC-derived motor neurons recapitulate important disease-relevant epigenomic changes.

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02 /Specification & Classification

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