Author

Molly Went

Institute of Cancer ResearchORCID 0000-0003-3271-975XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Philip J. LawiD· 2 shared Richard S. HoulstoniD· 2 shared Abi HydeiD· 1 shared Amit SudiD· 1 shared Andrea GunnelliD· 1 shared Carlo MajiD· 1 shared Charlie MillsiD· 1 shared Claire PallesiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Philip J. LawORCID

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2 papers

Recent·Most cited

Massively parallel functional profiling identifies CCDC88C as a risk gene for ER-positive breast cancer

Kate Mackie, Harriet Kemp, Andrea Gunnell, James B. Studd, Molly Went, Philip J. Law, Katarzyna Tomczyk, Selin Sevgi, Yunjiao Lu, Nick Orr, Richard S. Houlston, Nichola Johnson, Olivia Fletcher, Syed Haider

The paper identifies CCDC88C as a risk gene for ER-positive breast cancer by analyzing functional variants from GWAS signals using a massively parallel reporter assay.

medRxiv · Mar 3, 2026 · PreprintGenetic & Genomic Medicine

Risk factors for eight common cancers revealed from a phenome-wide Mendelian randomisation analysis of 378,142 cases and 485,715 controls

Molly Went, Amit Sud, Charlie Mills, Abi Hyde, Richard Culliford, Philip Law, Jayaram Vijayakrishnan, Ines Gockel, Carlo Maj, Johannes Schumacher, Claire Palles, Martin Kaiser, Richard S. Houlston

This study uses Mendelian randomisation to identify causal risk factors for eight cancers, finding both well-established and novel molecular factors.

Nature Communications · Mar 25, 2024Peer-reviewedGenetic & Genomic Medicine