| Literature DB >> 27396567 |
Jun Wang1,2, Huijue Jia2.
Abstract
Metagenome-wide association studies (MWAS) have enabled the high-resolution investigation of associations between the human microbiome and several complex diseases, including type 2 diabetes, obesity, liver cirrhosis, colorectal cancer and rheumatoid arthritis. The associations that can be identified by MWAS are not limited to the identification of taxa that are more or less abundant, as is the case with taxonomic approaches, but additionally include the identification of microbial functions that are enriched or depleted. In this Review, we summarize recent findings from MWAS and discuss how these findings might inform the prevention, diagnosis and treatment of human disease in the future. Furthermore, we highlight the need to better characterize the biology of many of the bacteria that are found in the human microbiota as an essential step in understanding how bacterial strains that have been identified by MWAS are associated with disease.Entities:
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Year: 2016 PMID: 27396567 DOI: 10.1038/nrmicro.2016.83
Source DB: PubMed Journal: Nat Rev Microbiol ISSN: 1740-1526 Impact factor: 60.633