Stephan Weidinger

Multi-omic triangulation identifies molecular candidates of atopic dermatitis severity

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.

GWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets

This study performs a GWAS meta-analysis of psoriasis, identifying 109 susceptibility loci, including 45 new ones, and highlights potential therapeutic targets and disease mechanisms.

The inflammatory skin disease map (ISD map): an interactive computational resource focused on psoriasis and atopic dermatitis molecular mechanisms

The paper presents the ISD map, an interactive resource modeling molecular mechanisms of psoriasis and atopic dermatitis, and identifies potential therapeutic targets through hypothesis generation.

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

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