%0 Journal Article %1 Wang2016Metagenomewide %A Wang, Jun %A Jia, Huijue %D 2016 %I Nature Research %J Nature Reviews Microbiology %K metagenomics %N 8 %P 508--522 %R 10.1038/nrmicro.2016.83 %T Metagenome-wide association studies: fine-mining the microbiome %U http://dx.doi.org/10.1038/nrmicro.2016.83 %V 14 %X 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

@article{Wang2016Metagenomewide, 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}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Wang, Jun and Jia, Huijue}, biburl = {https://www.bibsonomy.org/bibtex/28d6199b16a1f72693f9fd89d76cceeea/karthikraman}, citeulike-article-id = {14096420}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrmicro.2016.83}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrmicro.2016.83}, day = 11, doi = {10.1038/nrmicro.2016.83}, interhash = {822c44372127cb892fbaccb94ff02c65}, intrahash = {8d6199b16a1f72693f9fd89d76cceeea}, issn = {1740-1526}, journal = {Nature Reviews Microbiology}, keywords = {metagenomics}, month = jul, number = 8, pages = {508--522}, posted-at = {2017-06-22 05:45:06}, priority = {2}, publisher = {Nature Research}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {Metagenome-wide association studies: fine-mining the microbiome}, url = {http://dx.doi.org/10.1038/nrmicro.2016.83}, volume = 14, year = 2016 }