Author

Fumiaki Imamura

University of CambridgeORCID 0000-0002-6841-8396Unclaimed 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 Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3

Frequent Co-Authors

Claudia LangenbergiD· 2 shared Jian’an LuaniD· 2 shared Nicholas J. WarehamiD· 2 shared Nita G. ForouhiiD· 2 shared Tõnu EskoiD· 2 shared Adam S. ButterworthiD· 1 shared Albert KoulmaniD· 1 shared André Gerardus UitterlindeniD· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetics

Claudia LangenbergORCID

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3 papers

Recent·Most cited

Using genetic variation to disentangle the complex relationship between food intake and health outcomes.

Nicola Pirastu, Ciara M. McDonnell, Eryk J. Grzeszkowiak, Ninon Mounier, Fumiaki Imamura, Jordi Merino, Felix R. Day, Jie Zheng, Nele Taba, Maria Pina Concas, Linda Repetto, Katherine A. Kentistou, Antonietta Robino, Tõnu Esko, Peter K. Joshi, , James F. Wilson

The paper uses genetic variation to assess the causal impact of food choices on health outcomes, identifying robust associations between eating patterns and several diseases.

PLoS Genetics · Jun 2, 2022Peer-reviewedGenetics

Genomic analysis of diet composition finds novel loci and associations with health and lifestyle

S. Fleur W. Meddens, Ronald de Vlaming, Peter Bowers, Casper A.P. Burik, Richard Karlsson Linnér, Chan Wook Lee, Aysu Okbay, Patrick Turley, Cornelius A. Rietveld, Mark Alan Fontana, Mohsen Ghanbari, Fumiaki Imamura, George McMahon, Peter J. van der Most, Trudy Voortman, , Philipp Koellinger

This study identifies genetic loci associated with macronutrient intake and links them to health outcomes using GWAS in over 235,000 individuals.

Molecular Psychiatry · May 11, 2020Peer-reviewedGenetics

Cross-platform genetic discovery of small molecule products of metabolism and application to clinical outcomes

Luca Andrea Lotta, Maik Pietzner, Isobel D. Stewart, Laura B. L. Wittemans, Chen Li, Roberto Bonelli, Johannes Raffler, Emma K. Biggs, Clare Oliver‐Williams, Victoria P.W. Auyeung, Jian’an Luan, Eleanor Wheeler, Ellie Paige, Praveen Surendran, Gregory Alexander Michelotti, , Claudia Langenberg

This study identifies genetic associations with metabolite levels across multiple cohorts and links these variants to clinical outcomes like type 2 diabetes and macular telangiectasia type 2.

bioRxiv · Feb 3, 2020 · PreprintGenetics