Author

Isaac Wade

University of Oxford

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Duncan S. PalmeriD· 2 shared Georgios KalantzisiD· 2 shared Hilary C. MartiniD· 2 shared Abdel AbdellaouiiD· 1 shared Anurag VermaiD· 1 shared Athanasios KousathanasiD· 1 shared Augusto RendoniD· 1 shared Barney HilliD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Duncan S. PalmerORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Imputation of fluid intelligence scores reduces ascertainment bias and increases power for analyses of common and rare variants

David T. Berg, Daniel Shiloh Malawsky, Wei Huang, Petr Danecek, Klaudia Walter, Georgios Kalantzis, Isaac Wade, Duncan S. Palmer, Ewan Birney, Karin J. H. Verweij, Dirk J. A. Smit, Sarah Lindsay, Matthew E. Hurles, Abdel Abdellaoui, Hilary C. Martin

The paper imputes fluid intelligence scores in a large cohort, reducing ascertainment bias and increasing power to detect genetic associations with common and rare variants.

Nature Genetics · Oct 5, 2026Peer-reviewedGenetic & Genomic Medicine

The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration

Duncan S. Palmer, Barney Hill, Sam Hodgson, Maarja Jõeloo, Georgios Kalantzis, Athanasios Kousathanas, Satoshi Koyama, Wenhan Lu, Shinichi Namba, Zachary B. Rodriguez, Jonathan Shortt, Kyuto Sonehara, Nicholas Vartanian, Ha My T. Vy, Isaac Wade, , Benjamin M. Neale

The paper establishes a global consortium to discover rare genetic associations by integrating data from multiple biobanks, identifying 514 gene-trait associations, many detectable only through cross-ancestry meta-analysis.

medRxiv · May 24, 2026 · PreprintGenetic & Genomic Medicine