Author

Elizabeth Foxall

University College LondonORCID 0000-0003-1995-5547Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Adriana Alves· 1 shared Adrienne Margaret FlanaganiD· 1 shared Bart VanhaesebroeckiD· 1 shared Cheryl L. ScudamoreiD· 1 shared Christopher YauiD· 1 shared Damjan TemelkovskiiD· 1 shared Djenat Belarbi· 1 shared Fiona Black· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Adriana Alves

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2 papers

Recent·Most cited

GeneticsDisease Models & MechanismsPeer-reviewedNov 11, 2025

A mouse model of PTEN Hamartoma Tumour Syndrome reveals that loss of the nuclear function of PTEN drives macrocephaly, lymphoid overgrowth, and late-onset cancer

Priyanka Tibarewal, Victoria Rathbone, Sarah E. Conduit…·Bart Vanhaesebroeck

This study shows that a specific PTEN mutation causes macrocephaly, lymphoid overgrowth, and late-onset cancer in mice by impairing nuclear PTEN functions, while maintaining normal PI3K/AKT signaling.

4 citations

mouseexperimental assay

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Cancer BiologybioRxivPreprintOct 17, 2018

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

Thanos P. Mourikis, Lorena Benedetti, Elizabeth Foxall…·on behalf of the Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.

DOI 10.1101/321612

humanwhole-exome sequencing

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