{"links":{"first":"https://www.ebi.ac.uk/metagenomics/api/v1/samples/SRS3072068/studies?page=1","last":"https://www.ebi.ac.uk/metagenomics/api/v1/samples/SRS3072068/studies?page=1","next":null,"prev":null},"data":[{"type":"studies","id":"MGYS00005190","attributes":{"samples-count":1993,"bioproject":"PRJNA396815","accession":"MGYS00005190","is-private":false,"last-update":"2020-02-18T13:08:42","secondary-accession":"SRP136041","centre-name":"Hangzhou Guhe Information and Technology Company","public-release-date":null,"study-abstract":"Objective To establish methods and effective microbial biomarkers for early colorectal cancer (CRC)-specific-screening via gut microbiota detection in the clinic.Design 5,588 stool samples 16S ribosomal RNA (rRNA) gene were sequenced, and used the relative abundance of taxonomic and functional features to develop a model resembling the populations that consisted of 3 cohorts and 3 classification models (RF, XGBoost, and GBM) that distinguished the CRC group from the control group and identified potential microbial biomarkers.Results Microbiome-based classification distinguished patients with CRC from normal participants and excluded other CRC-relevant diseases. The area under the receiver operator characteristic (AUROC) curve was 92.2%. Known associations with oral pathogenic features, benefits-generated features, and functional features of CRC were confirmed by the model.Conclusions Our optimized prediction model was established using large-scale experimental population-based data and other sequence-based faecal microbial community data. This model can be used to identify high-risk groups and has the potential to become a novel screening method for CRC biomarkers due to its low 1-specificity (i.e. false-positive rate) and good stability.","study-name":"An optimized model for screening colorectal cancer established using large-scale experimental sequence-based faecal microbial community data","data-origination":"HARVESTED"},"relationships":{"downloads":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190/downloads"}},"geocoordinates":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190/geocoordinates"}},"analyses":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190/analyses"}},"biomes":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190/biomes"},"data":[{"type":"biomes","id":"root:Host-associated:Human:Digestive system:Large intestine:Fecal","links":{"self":"https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Host-associated:Human:Digestive%20system:Large%20intestine:Fecal"}}]},"samples":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190/samples"}},"publications":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190/publications"}}},"links":{"self":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005190"}}],"meta":{"pagination":{"page":1,"pages":1,"count":1}}}