Metagenome-wide association studies: fine-mining the microbiome

Wang, Jun; Jia, Huijue

doi:10.1038/nrmicro.2016.83

Cited by 429Gut microbiota and healthGenetic Associations and EpidemiologyOral microbiology and periodontitis research

Metagenome-wide association studies: fine-mining the microbiome

Wang, Jun, Jia, Huijue·2016·Nature Reviews Microbiology

DOI 10.1038/nrmicro.2016.83

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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.

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Crossref · 10.1038/nrmicro.2016.83

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The gut microbiome of liver cirrhosis, colorectal cancer, RA, and ACVD patients have all showed an increase in the abundance of oral bacteria.
“Although the gut microbiome of liver cirrhosis, colorectal cancer, RA, and ACVD patients have all showed an increase in the abundance of oral bacteria3, the set of oral bacterial species were, however, observed to differ, and only RA and ACVD have been epidemiologically associated with periodontitis.”
From The gut microbiome in atherosclerotic cardiovascular disease (2017) · cites this paper as [3]
All 1250 samples were analyzed in the same manner, eliminating technical biases in MWAS between studies.
“All 1250 samples were analyzed in the same manner, eliminating technical biases in MWAS between studies3.”
From The gut microbiome in atherosclerotic cardiovascular disease (2017) · cites this paper as [3]

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Authors: Wang, J., & Jia, H.
Affiliations: BGI Group (China) (CN)
Corresponding author: Wang, Jun
Jia, Huijue
ORCID: Wang, Jun
Jia, Huijue
Venue: Nature Reviews Microbiology
Publisher: Springer Science and Business Media LLC
Published: 2016-07-11
Volume: 14
Issue: 8
Pages: 508-522
ISSN: 1740-1526 (ISSN-L)
1740-1534
DOI: 10.1038/nrmicro.2016.83
OpenAlex: W2463312000
Cited by: 429
References: 121
Citations by year: 2026: 27 · 2025: 28 · 2024: 28 · 2023: 27 · 2022: 58 · 2021: 82 · 2020: 53 · 2019: 44 · 2018: 37 · 2017: 39 · 2016: 6
FWCI: 3.79
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature Reviews Microbiology (publishedVersion)
PubMed (publishedVersion)
Funders: Shenzhen Government
National Natural Science Foundation of China
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords: metagenome-wide association study, human microbiome, type 2 diabetes, obesity, liver cirrhosis, colorectal cancer, rheumatoid arthritis, microbial function
MeSH terms: Arthritis, Rheumatoid, Bacteria, Diabetes Mellitus, Type 2, Humans, Liver Cirrhosis, Obesity, RNA, Ribosomal, 16S, ROC Curve, Colorectal Neoplasms, Gastrointestinal Tract, Metagenome, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing, Microbiota

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Metagenome-wide association studies: fine-mining the microbiome

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