Author

Martin Kaiser

Institute of Cancer ResearchORCID 0000-0002-3677-4804Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Richard S. HoulstoniD· 2 shared Abi HydeiD· 1 shared Alex J. CornishiD· 1 shared Amit SudiD· 1 shared Anna FrangouiD· 1 shared Carlo MajiD· 1 shared Charlie MillsiD· 1 shared Claire PallesiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Richard S. HoulstonORCID

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2 papers

Recent·Most cited

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

Correcting reference bias from the Illumina Isaac aligner enables analysis of cancer genomes

Alex J. Cornish, Daniel Chubb, Anna Frangou, Phuc H. Hoang, Martin Kaiser, David C. Wedge, Richard S. Houlston

The paper identifies a bias in VAF estimates from the Illumina Isaac aligner and introduces FixVAF to correct it, improving cancer cell fraction analysis.

bioRxiv · Nov 9, 2019 · PreprintBioinformatics