Journal article
Epigenetic profiles of tissue informative CpGs inform ALS disease status and progression
- Abstract:
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Background
Cell-free DNA (cfDNA), derived from dying cells, has demonstrated utility across multiple clinical applications. However, its potential in neurodegenerative diseases remains underexplored, with most existing cfDNA technologies tailored to specific disease contexts like cancer or non-invasive prenatal screening.Methods
To address this gap, we developed a novel approach to characterize epigenetic cfDNA profiles by identifying key regions of DNA methylation that reveal the tissues origins undergoing apoptosis or necrosis. We evaluated this method in the largest cfDNA study of amyotrophic lateral sclerosis (ALS) and other neurological diseases (OND) to date, encompassing two independent cohorts (n = 192) from Australia (UQ Ncases = 48, Ncontrols = 32, NOND = 15) and the USA, (UCSF Ncases = 50, Ncontrols = 45)).Results
Our approach accurately distinguished ALS patients from controls (UQ AUC = 0.82, UCSF AUC = 0.99) and from individuals with other neurological diseases (AUC = 0.91). It also identified an asymptomatic carrier of a pathogenic C9orf72 variant, and strongly correlated with ALS disease progression measures (Pearson's R = 0.66, p = 3.71 × 10⁻⁹).Conclusions
We identified DNA methylation signals from multiple tissue types in ALS cfDNA, highlighting diverse tissue involvement in ALS pathology. These findings promote epigenetic cfDNA analysis as a powerful tool for advancing our understanding of neurodegenerative disease.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1186/s13073-025-01542-5
Authors
- Publisher:
- BioMed Central
- Journal:
- Genome Medicine More from this journal
- Volume:
- 17
- Issue:
- 1
- Pages:
- 115-115
- Publication date:
- 2025-10-15
- DOI:
- EISSN:
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1756-994X
- ISSN:
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1756-994X
- Language:
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English
- Pubs id:
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2302171
- Local pid:
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pubs:2302171
- Source identifiers:
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W4415202554
- Deposit date:
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2025-11-17
- ARK identifier:
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Terms of use
- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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