Genetically personalised organ-specific metabolic models in health and disease

Carles Foguet; Yu Xu; Scott C. Ritchie; Samuel A. Lambert; Elodie Persyn; Artika P. Nath; Emma E. Davenport; David J. Roberts; Dirk S. Paul; Emanuele Di Angelantonio; John Danesh; Adam S. Butterworth; Christopher Yau; Michael Inouye

doi:10.1038/s41467-022-35017-7

Nature Communications (Nov 2022)

Genetically personalised organ-specific metabolic models in health and disease

Carles Foguet,
Yu Xu,
Scott C. Ritchie,
Samuel A. Lambert,
Elodie Persyn,
Artika P. Nath,
Emma E. Davenport,
David J. Roberts,
Dirk S. Paul,
Emanuele Di Angelantonio,
John Danesh,
Adam S. Butterworth,
Christopher Yau,
Michael Inouye

Affiliations

Carles Foguet: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge
Yu Xu: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge
Scott C. Ritchie: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge
Samuel A. Lambert: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge
Elodie Persyn: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge
Artika P. Nath: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge
Emma E. Davenport: Wellcome Sanger Institute
David J. Roberts: BRC Haematology Theme, Radcliffe Department of Medicine, and NHSBT-Oxford, John Radcliffe Hospital
Dirk S. Paul: British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge
Emanuele Di Angelantonio: Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge
John Danesh: Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge
Adam S. Butterworth: Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge
Christopher Yau: Nuffield Department of Women’s and Reproductive Health, University of Oxford
Michael Inouye: Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge

DOI: https://doi.org/10.1038/s41467-022-35017-7
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 15

Abstract

Read online

Here, the authors present a method to build genetically personalised metabolic models across tissues to estimate individualised reaction fluxes. A fluxome-wide association study in UK Biobank identifies fluxes associated with metabolites and coronary artery disease.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal