Author

E. Volz

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

Biology Disciplines

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Evolutionary Biology· 4

Signature Assays, Organisms & Methods

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Organism:virus· 3 Assay:whole-genome sequencing· 3 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Approach:deep learning· 1

Frequent Co-Authors

The COVID-19 Genomics UK (COG-UK) consortium· 2 shared X. Didelot· 2 shared A. Carabelli· 1 shared A. Dennis· 1 shared A. Ledda· 1 shared A. N. O'Toole· 1 shared A. Price· 1 shared A. Rambaut· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersEvolutionary Biology

The COVID-19 Genomics UK (COG-UK) consortium

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4 papers

Recent·Most cited

Lineage frequency time series reveal elevated levels of genetic drift in SARS-CoV-2 transmission in England

Q. Yu, J. A. Ascensao, T. Okada, The COVID-19 Genomics UK (COG-UK) consortium, O. Boyd, E. Volz, O. Hallatschek

This paper develops a method to estimate genetic drift in SARS-CoV-2 transmission using lineage frequency time series and applies it to genomic data from England, finding consistently higher genetic drift than expected.

PLOS Pathogens · Apr 15, 2024Peer-reviewedEvolutionary Biology

The origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 in the UK

V. Hill, L. du Plessis, T. P. A. Peacock, D. Aggarwal, A. Carabelli, R. Colquhoun, N. Ellaby, E. Gallagher, N. Groves, B. Jackson, J. McCrone, A. N. O'Toole, A. Price, T. Sanderson, E. Scher, , A. Rambaut

This study investigates the origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 (Alpha) in the UK, finding that a chronically-infected immunocompetent individual likely drove its rapid mutation and spread.

bioRxiv · Mar 8, 2022Evolutionary Biology

Bayesian inference of clonal expansions in a dated phylogeny

D. Helekal, A. Ledda, E. Volz, D. Wyllie, X. Didelot

The paper develops a Bayesian model to infer clonal expansions in phylogenies and applies it to simulated and real datasets.

bioRxiv · Jul 1, 2021Evolutionary Biology

Identification of hidden population structure in time-scaled phylogenies

E. Volz, C. Wiuf, Y. Grad, S. Frost, A. Dennis, X. Didelot

This paper introduces a statistical test to detect hidden population structure in time-scaled phylogenies and applies it to HIV-1 and Neisseria gonorrhoeae data to identify outbreaks and antimicrobial resistance patterns.

bioRxiv · Jan 10, 2020Evolutionary Biology