Julia Åkesson

Publikationer

2026

Shamila Darvish Alipoor, Angelica Ahrens, Julia Åkesson, Thomas Hillerton, Mika Gustafsson, Maria Lerm, Johnny Ludvigsson (2026) Epigenetic analyses suggest different pathways during pregnancy for development of Type 1 diabetes in children with high versus low-neutral human leukocyte antigen-risk Journal of Internal Medicine, Vol. 299, s. 570-586 (Artikel i tidskrift) https://dx.doi.org/10.1111/joim.70077

2025

David Martinez, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson (2025) Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease Frontiers in Aging, Vol. 5, Artikel 1526146 (Artikel i tidskrift) https://dx.doi.org/10.3389/fragi.2024.1526146

2023

Julia Åkesson, Sara Hojjati, Sandra Hellberg, Johanna Raffetseder, Mohsen Khademi, Robert Rynkowski, Ingrid Kockum, Claudio Altafini, Zelmina Lubovac-Pilav, Johan Mellergård, Maria Jenmalm, Fredrik Piehl, Tomas Olsson, Jan Ernerudh, Mika Gustafsson (2023) Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis Nature Communications, Data for: Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis, Vol. 14, Artikel 6903 (Artikel i tidskrift) https://dx.doi.org/10.1038/s41467-023-42682-9

Julia Åkesson (2023) Network-based biomarker discovery for multiple sclerosis (Doktorsavhandling, sammanläggning) https://dx.doi.org/10.3384/9789180753968

2022

Hendrik Arnold de Weerd, Julia Åkesson, Dimitri Guala, Mika Gustafsson, Zelmina Lubovac-Pilav (2022) MODalyseR-a novel software for inference of disease module hub regulators identified a putative multiple sclerosis regulator supported by independent eQTL data Bioinformatics Advances, Vol. 2 (Artikel i tidskrift) https://dx.doi.org/10.1093/bioadv/vbac006