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Harnessing human microbiomes for disease prediction.

Accepted version
Peer-reviewed

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Authors

Liu, Yang 
Fachrul, Muhamad 
Méric, Guillaume 

Abstract

The human microbiome has been increasingly recognized as having potential use for disease prediction. Predicting the risk, progression, and severity of diseases holds promise to transform clinical practice, empower patient decisions, and reduce the burden of various common diseases, as has been demonstrated for cardiovascular disease or breast cancer. Combining multiple modifiable and non-modifiable risk factors, including high-dimensional genomic data, has been traditionally favored, but few studies have incorporated the human microbiome into models for predicting the prospective risk of disease. Here, we review research into the use of the human microbiome for disease prediction with a particular focus on prospective studies as well as the modulation and engineering of the microbiome as a therapeutic strategy.

Description

Keywords

disease prediction, gut microbiota, machine learning, metagenomics, microbiome

Journal Title

Trends Microbiol

Conference Name

Journal ISSN

0966-842X
1878-4380

Volume Title

Publisher

Elsevier BV
Sponsorship
British Heart Foundation (RG/18/13/33946)
ESRC (ES/T013192/1)
National Institute for Health and Care Research (IS-BRC-1215-20014)