Author

Joe Rastrick

UCB Pharma (United Kingdom)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Antonio FedericoiD· 2 shared Catherine H. SmithiD· 2 shared Dario GrecoiD· 2 shared Ellen H. J. van den BogaardiD· 2 shared Emanuele de RinaldisiD· 2 shared Stefanie EyerichiD· 2 shared Stephan WeidingeriD· 2 shared Aditya Krishna· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetic & Genomic Medicine

Antonio FedericoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Multi-omic triangulation identifies molecular candidates of atopic dermatitis severity

Katie Watts, Matthias Hübenthal, Silke Szymczak, Hannah Cherry, Heming Xing, Antonio Federico, Oxana Lopata, Márcio Luís Acencio, Manuela Hofner, Samuel Lessard, Thomas Battram, Maris Teder‐Laving, Laurent F. Thomas, Karin Ytterberg, Aditya Krishna, , Lavinia Paternoster

This study identifies 440 genes/proteins associated with atopic dermatitis severity through multi-omics analyses and highlights four with significant cross-evidence, including CEP85, which may contribute to severity via impaired phagocytosis.

medRxiv · Aug 4, 2025 · PreprintGenetic & Genomic Medicine

The integration of large-scale public data and network analysis uncovers molecular characteristics of psoriasis

Antonio Federico, Alisa Pavel, Lena Möbus, David M. McKean, Giusy del Giudice, Vittorio Fortino, Hanna Niehues, Joe Rastrick, Kilian Eyerich, Stefanie Eyerich, Ellen H. J. van den Bogaard, Catherine H. Smith, Stephan Weidinger, Emanuele de Rinaldis, Dario Greco

This study integrates public transcriptomic data with network analysis to identify molecular features of psoriasis, revealing key genes and networks involved in the disease.

Human Genomics · Nov 27, 2022Peer-reviewedSystems Biology