Author

J. Yarmolinsky

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Open access Sep 2026

Population-scale plasma proteomics reveals pre-diagnostic biomarkers and shared pathways of cancer risk across 25 cancers

Abstract The causes of most cancers remain unknown because the biological pathways underlying cancer development are poorly understood. Large-scale plasma proteomics offers a powerful strategy to uncover these pathways, identify biomarkers for cancer early detection, and discover novel therapeutic targets but has rarel...

J. Yarmolinsky, V. Viallon, V. Burk et al. · medRxiv · 0 citations

Open access Sep 2026

A novel framework leveraging non-causal associations reveals shared pathways linking inflammation and cancer risk

This work proposes a framework for identifying confounders of two non-causally related traits by employing cross-trait pleiotropy analysis to detect genetic loci that affect both traits and multi-trait colocalisation to identify molecular phenotypes mediating these effects.

J. Yarmolinsky, F. Cavallo, F. Koskeridis et al. · medRxiv · 0 citations

Open access Jul 2026

Identifying protein biomarkers and therapeutic targets in psoriasis through integrative genomic, proteomic and transcriptomic analysis

Plasma proteins are promising biomarkers and potential drug targets in psoriasis. We conducted a two-sample Mendelian randomisation analysis integrating protein quantitative trait loci from UK Biobank and deCODE genetics with a psoriasis GWAS meta-analysis of 36,466 cases. To strengthen causal inference, we performed c...

D. Meena, C. V. Chalitsios, J. Huang et al. · medRxiv · 0 citations