Author

Ahmed Edris

University of LeicesterORCID 0000-0002-4049-5402Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1 Assay:GWAS summary statistics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Katherine A. FawcettiD· 2 shared Martin D. TobiniD· 2 shared Alex Hacker· 1 shared Alex Williams· 1 shared Ann Chen WuiD· 1 shared Anna L. GuyattiD· 1 shared Balasubramanya Seetharama Rao· 1 shared Canqing YuiD· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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2 shared papersGenetic & Genomic Medicine

Katherine A. FawcettORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Asthma exacerbations and eosinophilia in the UK Biobank: a Genome-Wide Association Study

Ahmed Edris, Kirsten R. Voorhies, Sharon Marie Lutz, Carlos Iribarren, Ian P. Hall, Ann Chen Wu, Martin D. Tobin, Katherine A. Fawcett, Lies Lahousse

This study performs a GWAS on asthma exacerbations in the UK Biobank, identifying two novel genetic loci associated with exacerbation risk in individuals with asthma.

ERJ Open Research · Dec 15, 2023Peer-reviewedGenetic & Genomic Medicine

Genotyping and population structure of the China Kadoorie Biobank

Robin G. Walters, Iona Y. Millwood, Kuang Lin, Dan Schmidt, Pandora McDonnell, Alex Hacker, Daniel Avery, Ahmed Edris, Hannah Fry, Na Cai, Warren W. Kretzschmar, M. Azim Ansari, Paul Lyons, Rory Collins, Peter Donnelly, , Zhengming Chen

The paper reports genotyping and population structure findings from the China Kadoorie Biobank, revealing relatedness, consanguinity, and population movement patterns.

Cell Genomics · Jul 20, 2023Peer-reviewedGenetic & Genomic Medicine

DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies.

Richard J. Packer, Alex Williams, William Hennah, Micaela Eisenberg, Nick R. G. Shrine, Katherine A. Fawcett, Willow Pearson, Anna L. Guyatt, Ahmed Edris, Edward J. Hollox, Mikko Marttila, Balasubramanya Seetharama Rao, John Raymond Bratty, Louise V. Wain, Frank Dudbridge, Martin D. Tobin

DeepPheWAS creates composite phenotypes and performs association analysis for phenome-wide studies using genetic inputs and various models.

Bioinformatics · Feb 4, 2023Peer-reviewedGenetic & Genomic Medicine