Author

John W. Oketch

University of LeicesterORCID 0000-0002-8020-0787Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Edward J. HolloxiD· 3 shared Louise V. WainiD· 2 shared Ozge Sidekli· 2 shared Afra Alyassi· 1 shared Alessandro RomanoiD· 1 shared Amilcare BarcaiD· 1 shared Asalah Albahimah· 1 shared Bruno Walewski· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Edward J. HolloxORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genome-wide analysis of tandem repeat variation identifies SLC15A4 as a susceptibility gene for idiopathic pulmonary fibrosis

John W. Oketch, Asalah Albahimah, Amilcare Barca, Richard J. Allen, Nick R. G. Shrine, Bruno Walewski, Ozge Sidekli, Afra Alyassi, Alessandro Romano, Gisli R. Jenkins, Toby M. Maher, Philip L. Molyneaux, Iain D. Stewart, Tiziano Verri, Louise V. Wain, Edward J. Hollox

This study identifies SLC15A4 as a susceptibility gene for IPF through genome-wide analysis of tandem repeat variation, showing its role in gene expression and disease risk.

medRxiv · Nov 25, 2025 · PreprintGenetic & Genomic Medicine

β-defensin gene copy number variation in cattle

Ozge Sidekli, John W. Oketch, Seán Fair, Kieran G. Meade, Edward J. Hollox

This study identifies extensive β-defensin gene copy number variation in cattle, particularly DEFB103, and links it to fertility-related traits.

Royal Society Open Science · Oct 1, 2024Peer-reviewedGenetics

A comparison of software for analysis of rare and common short tandem repeat (STR) variation using human genome sequences from clinical and population-based samples

John W. Oketch, Louise V. Wain, Edward J. Hollox

This study compares STR genotyping software using clinical and population-based human genome data, finding that some tools perform better for common STRs while others excel at detecting expanded STRs.

PLoS ONE · Apr 1, 2024Peer-reviewedGenomics