Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis
Our findings highlight the value of integrating transcriptome-based risk models to incorporating additional omics layer to refine risk prediction and enhance our understanding of genetic architecture of complex traits.
Authors
- Efstathia Pasmatzi (ORCID: https://orcid.org/0000-0003-0846-1752)
- Ashley Budu‐Aggrey (ORCID: https://orcid.org/0000-0002-8911-2492)
- Charalabos Antonatos (ORCID: https://orcid.org/0000-0002-5967-9367)
- Stamatios Gregoriou (ORCID: https://orcid.org/0000-0002-7585-1032)
- Katerina Grafanaki (ORCID: https://orcid.org/0000-0002-6569-1928)
- Yiannis Vasilopoulos (ORCID: https://orcid.org/0000-0002-3167-7642)
- Aikaterini Tsiogka (ORCID: https://orcid.org/0000-0002-6853-9788)
- Alexandros Pontikas (ORCID: https://orcid.org/0009-0007-5834-645X)
- Adam Akritidis
- Lavinia Paternoster
Institutions
- University of Patras (GR)
- National and Kapodistrian University of Athens (GR)
- University Hospitals Bristol NHS Foundation Trust (GB)
- University of Bristol (GB)
- Andreas Sygros Hospital (GR)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1186/s12967-025-06570-8
- Citations
- 2
- Primary Topic
- Dermatology and Skin Diseases
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- National Eczema Association
- University of Patras
- European Federation of Pharmaceutical Industries and Associations
- European Commission
- Innovative Medicines Initiative
- Medical Research Council