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Key functionalities of our package include: quality control analysis; metabolome-wide association analysis using various models (partial correlations, generalized linear models); visualization of statistical outcomes; metabolite assignment using statistical total correlation spectroscopy (STOCSY); and biological interpretation of metabolome-wide association studies results.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>The MWASTools R package is implemented in R (version\u2009\u2009&amp;gt;\u2009=3.4) and is available from Bioconductor: https:\/\/bioconductor.org\/packages\/MWASTools\/.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx477","type":"journal-article","created":{"date-parts":[[2017,7,24]],"date-time":"2017-07-24T11:09:27Z","timestamp":1500894567000},"page":"890-892","source":"Crossref","is-referenced-by-count":19,"title":["MWASTools: an R\/bioconductor package for metabolome-wide association studies"],"prefix":"10.1093","volume":"34","author":[{"given":"Andrea","family":"Rodriguez-Martinez","sequence":"first","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4971-9003","authenticated-orcid":false,"given":"Joram M","family":"Posma","sequence":"additional","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]},{"given":"Rafael","family":"Ayala","sequence":"additional","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]},{"given":"Ana L","family":"Neves","sequence":"additional","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]},{"given":"Maryam","family":"Anwar","sequence":"additional","affiliation":[{"name":"Division of Myocardial Function, National Heart and Lung Institute, Imperial College London, UK"}]},{"given":"Enrico","family":"Petretto","sequence":"additional","affiliation":[{"name":"Duke-NUS Medical School, Singapore"}]},{"given":"Costanza","family":"Emanueli","sequence":"additional","affiliation":[{"name":"Division of Myocardial Function, National Heart and Lung Institute, Imperial College London, UK"},{"name":"Bristol Heart Institute, University of Bristol, UK"}]},{"given":"Dominique","family":"Gauguier","sequence":"additional","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]},{"given":"Jeremy K","family":"Nicholson","sequence":"additional","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9523-7024","authenticated-orcid":false,"given":"Marc-Emmanuel","family":"Dumas","sequence":"additional","affiliation":[{"name":"Department of Surgery and Cancer, Computational and Systems Medicine, Imperial College London, UK"}]}],"member":"286","published-online":{"date-parts":[[2017,7,26]]},"reference":[{"key":"2023012712480254200_btx477-B1","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. 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