{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T19:33:13Z","timestamp":1781811193003,"version":"3.54.5"},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"17","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: We describe mbmdr, an R package for implementing the model-based multifactor dimensionality reduction (MB-MDR) method. MB-MDR has been proposed by Calle et al. as a dimension reduction method for exploring gene\u2013gene interactions in case-control association studies. It is an extension of the popular multifactor dimensionality reduction (MDR) method of Ritchie et al. allowing a more flexible definition of risk cells. In MB-MDR, risk categories are defined using a regression model which allows adjustment for covariates and main effects and, in addition to the classical low risk and high risk categories, MB-MDR considers a third category of indeterminate or not informative cells. An important improvement added to the current mbmdr algorithm with respect to the original MB-MDR formulation in Calle et al. and also to the classical MDR approach, is the extension of the methodology to different outcome types. While MB-MDR was initially proposed for binary traits in the context of case-control studies, the mbmdr package provides options to analyze both binary or quantitative traits for unrelated individuals.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/cran.r-project.org\/<\/jats:p>\n               <jats:p>Contact: \u00a0malu.calle@uvic.cat<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq352","type":"journal-article","created":{"date-parts":[[2010,7,2]],"date-time":"2010-07-02T02:23:37Z","timestamp":1278037417000},"page":"2198-2199","source":"Crossref","is-referenced-by-count":95,"title":["mbmdr: an R package for exploring gene\u2013gene interactions associated with binary or quantitative traits"],"prefix":"10.1093","volume":"26","author":[{"given":"M. Luz","family":"Calle","sequence":"first","affiliation":[{"name":"1 Department of Systems Biology, Universitat de Vic, Vic, 2Centro Nacional de Investigaciones Oncol\u00f3gicas, Madrid, Spain and 3Department of Electrical Engineering and Computer Science, University of Li\u00e8ge, Li\u00e8ge, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V\u00edctor","family":"Urrea","sequence":"additional","affiliation":[{"name":"1 Department of Systems Biology, Universitat de Vic, Vic, 2Centro Nacional de Investigaciones Oncol\u00f3gicas, Madrid, Spain and 3Department of Electrical Engineering and Computer Science, University of Li\u00e8ge, Li\u00e8ge, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N\u00faria","family":"Malats","sequence":"additional","affiliation":[{"name":"1 Department of Systems Biology, Universitat de Vic, Vic, 2Centro Nacional de Investigaciones Oncol\u00f3gicas, Madrid, Spain and 3Department of Electrical Engineering and Computer Science, University of Li\u00e8ge, Li\u00e8ge, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristel","family":"Van Steen","sequence":"additional","affiliation":[{"name":"1 Department of Systems Biology, Universitat de Vic, Vic, 2Centro Nacional de Investigaciones Oncol\u00f3gicas, Madrid, Spain and 3Department of Electrical Engineering and Computer Science, University of Li\u00e8ge, Li\u00e8ge, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2010,7,1]]},"reference":[{"key":"2023012507595287400_B1","article-title":"MB-MDR: model-based multifactor dimensionality reduction for detecting interactions in high-dimensional genomic data","volume-title":"Technical Report n.24","author":"Calle","year":"2007"},{"key":"2023012507595287400_B2","doi-asserted-by":"crossref","first-page":"6532","DOI":"10.1002\/sim.3431","article-title":"Improving strategies for detecting genetic patterns of disease susceptibility in association studies","volume":"27","author":"Calle","year":"2008","journal-title":"Stat. 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