{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kishikawa T"],"funding":["Takeda Science Foundation","Japan Agency for Medical Research and Development","JST Moonshot R&amp;D","Osaka University","Bioinformatics Initiative of Osaka University Graduate School of Medicine","Japan Society for the Promotion of Science"],"pagination":["lqac019"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8900191"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["4(1)"],"pubmed_abstract":["Microbiome is an essential omics layer to elucidate disease pathophysiology. However, we face a challenge of low reproducibility in microbiome studies, partly due to a lack of standard analytical pipelines. Here, we developed OMARU (<b>O</b>mnibus <b>m</b>etagenome-wide <b>a</b>ssociation study with <b>r</b>ob<b>u</b>stness), a new end-to-end analysis workflow that covers a wide range of microbiome analysis from phylogenetic and functional profiling to case-control metagenome-wide association studies (MWAS). OMARU rigorously controls the statistical significance of the analysis results, including correction of hidden confounding factors and application of multiple testing comparisons. Furthermore, OMARU can evaluate pathway-level links between the metagenome and the germline genome-wide as"],"journal":["NAR genomics and bioinformatics"],"pubmed_title":["OMARU: a robust and multifaceted pipeline for metagenome-wide association study."],"pmcid":["PMC8900191"],"funding_grant_id":["JP21ek0109413","JP21km0405217","20K21834","JPMJMS2021","JP21km0405211","JP21ek0410075","JPMJMS2024","JP21gm4010006","19H01021"],"pubmed_authors":["Kishikawa T","Okada Y","Inohara H","Tomofuji Y"],"additional_accession":[]},"is_claimable":false,"name":"OMARU: a robust and multifaceted pipeline for metagenome-wide association study.","description":"Microbiome is an essential omics layer to elucidate disease pathophysiology. However, we face a challenge of low reproducibility in microbiome studies, partly due to a lack of standard analytical pipelines. Here, we developed OMARU (<b>O</b>mnibus <b>m</b>etagenome-wide <b>a</b>ssociation study with <b>r</b>ob<b>u</b>stness), a new end-to-end analysis workflow that covers a wide range of microbiome analysis from phylogenetic and functional profiling to case-control metagenome-wide association studies (MWAS). OMARU rigorously controls the statistical significance of the analysis results, including correction of hidden confounding factors and application of multiple testing comparisons. Furthermore, OMARU can evaluate pathway-level links between the metagenome and the germline genome-wide as","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-04T19:58:01.939Z","creation":"2025-04-04T19:58:01.939Z"},"accession":"S-EPMC8900191","cross_references":{"pubmed":["35265838"],"doi":["10.1093/nargab/lqac019"]}}