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Stochastic epigenetic mutation profiles as biomarkers of clinical activity in juvenile idiopathic arthritis: a multi-omic machine learning approach for gene prioritization

Crossref DOI link: https://doi.org/10.1186/s10020-025-01348-6

Published Online: 2025-09-25

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cavalca, Giacomo

Vergani, Matteo

Cangelosi, Davide

Consolaro, Alessandro

Gattorno, Marco

Ravelli, Angelo

Munro, Jane

Novakovic, Boris

Duncan, Anna

Uva, Paolo

Fiorito, Giovanni
Funding

Funding for this research was provided by:

Italian Ministry of Health (Ricerca Corrente, Ricerca Corrente, Ricerca Corrente, Ricerca Corrente, Ricerca Corrente, Ricerca Corrente, Ricerca Corrente, Ricerca Corrente)

IRCCS Istituto Giannina Gaslini (5x1000, 5x1000, 5x1000, 5x1000, 5x1000, 5x1000, 5x1000, 5x1000)
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Text and Data Mining valid from 2025-09-25

Version of Record valid from 2025-09-25
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Article History

Received: 11 November 2024

Accepted: 11 August 2025

First Online: 25 September 2025

Declarations

:

: Not applicable. We are using previously published datasets. Ethics approval are in the original publications (Spreafico et al. ; Chavez-Valencia et al. ; Xu et al. ; Wong et al. ).

: Not applicable.

: The authors declare no competing interests.

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