Author
Listed:
- Junjie Qin
(BGI-Shenzhen)
- Yingrui Li
(BGI-Shenzhen)
- Zhiming Cai
(Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University)
- Shenghui Li
(BGI-Shenzhen)
- Jianfeng Zhu
(BGI-Shenzhen)
- Fan Zhang
(Peking University Shenzhen Hospital)
- Suisha Liang
(BGI-Shenzhen)
- Wenwei Zhang
(BGI-Shenzhen)
- Yuanlin Guan
(BGI-Shenzhen)
- Dongqian Shen
(BGI-Shenzhen)
- Yangqing Peng
(BGI-Shenzhen)
- Dongya Zhang
(BGI-Shenzhen)
- Zhuye Jie
(BGI-Shenzhen)
- Wenxian Wu
(BGI-Shenzhen)
- Youwen Qin
(BGI-Shenzhen)
- Wenbin Xue
(BGI-Shenzhen)
- Junhua Li
(BGI-Shenzhen)
- Lingchuan Han
(Peking University Shenzhen Hospital)
- Donghui Lu
(Peking University Shenzhen Hospital)
- Peixian Wu
(Peking University Shenzhen Hospital)
- Yali Dai
(Peking University Shenzhen Hospital)
- Xiaojuan Sun
(Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University)
- Zesong Li
(Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University)
- Aifa Tang
(Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University)
- Shilong Zhong
(Medical Research Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China)
- Xiaoping Li
(BGI-Shenzhen)
- Weineng Chen
(BGI-Shenzhen)
- Ran Xu
(BGI-Shenzhen)
- Mingbang Wang
(BGI-Shenzhen)
- Qiang Feng
(BGI-Shenzhen)
- Meihua Gong
(BGI-Shenzhen)
- Jing Yu
(BGI-Shenzhen)
- Yanyan Zhang
(BGI-Shenzhen)
- Ming Zhang
(BGI-Shenzhen)
- Torben Hansen
(The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark)
- Gaston Sanchez
(University of California Berkeley)
- Jeroen Raes
(VIB, 1050 Brussels, Belgium
Vrije Universiteit Brussel, 1050 Brussels, Belgium)
- Gwen Falony
(VIB, 1050 Brussels, Belgium
Vrije Universiteit Brussel, 1050 Brussels, Belgium)
- Shujiro Okuda
(VIB, 1050 Brussels, Belgium
Vrije Universiteit Brussel, 1050 Brussels, Belgium)
- Mathieu Almeida
(Institut National de la Recherche Agronomique, 78350 Jouy en Josas, France)
- Emmanuelle LeChatelier
(Institut National de la Recherche Agronomique, 78350 Jouy en Josas, France)
- Pierre Renault
(Institut National de la Recherche Agronomique, 78350 Jouy en Josas, France)
- Nicolas Pons
(Institut National de la Recherche Agronomique, 78350 Jouy en Josas, France)
- Jean-Michel Batto
(Institut National de la Recherche Agronomique, 78350 Jouy en Josas, France)
- Zhaoxi Zhang
(BGI-Shenzhen)
- Hua Chen
(BGI-Shenzhen)
- Ruifu Yang
(BGI-Shenzhen
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)
- Weimou Zheng
(BGI-Shenzhen)
- Songgang Li
(BGI-Shenzhen)
- Huanming Yang
(BGI-Shenzhen)
- Jian Wang
(BGI-Shenzhen)
- S. Dusko Ehrlich
(Institut National de la Recherche Agronomique, 78350 Jouy en Josas, France)
- Rasmus Nielsen
(University of California Berkeley)
- Oluf Pedersen
(The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
Institute of Biomedical Sciences, University of Copenhagen & Faculty of Health Science, University of Aarhus, DK-8000 Aarhus, Denmark
Hagedorn Research Institute, DK-2820 Gentofte, Denmark)
- Karsten Kristiansen
(BGI-Shenzhen
University of Copenhagen, DK-2200 Copenhagen, Denmark)
- Jun Wang
(BGI-Shenzhen
The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
University of Copenhagen, DK-2200 Copenhagen, Denmark)
Abstract
Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.
Suggested Citation
Junjie Qin & Yingrui Li & Zhiming Cai & Shenghui Li & Jianfeng Zhu & Fan Zhang & Suisha Liang & Wenwei Zhang & Yuanlin Guan & Dongqian Shen & Yangqing Peng & Dongya Zhang & Zhuye Jie & Wenxian Wu & Yo, 2012.
"A metagenome-wide association study of gut microbiota in type 2 diabetes,"
Nature, Nature, vol. 490(7418), pages 55-60, October.
Handle:
RePEc:nat:nature:v:490:y:2012:i:7418:d:10.1038_nature11450
DOI: 10.1038/nature11450
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