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We determined the prevalence of 12 single-nucleotide polymorphisms (SNPs) in immune response candidate genes and 7 bacterial species of potential relevance to periodontitis etiology, in chronic periodontitis patients and non-periodontitis control individuals (N = 385). Using decision tree analysis, we identified the presence of bacterial species Tannerella forsythia, Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, and SNPs TNF -857 and IL-1A -889 as discriminators between periodontitis and non-periodontitis. The model reached an accuracy of 80%, sensitivity of 85%, specificity of 73%, and AUC of 73%. This pilot study shows that, on the basis of 3 periodontal pathogens and SNPs, patterns may be recognized to identify patients at risk for periodontitis. Modern bioinformatics tools are valuable in modeling the multifactorial and complex nature of periodontitis.<\/jats:p>","DOI":"10.1177\/0022034512465435","type":"journal-article","created":{"date-parts":[[2012,10,26]],"date-time":"2012-10-26T03:23:48Z","timestamp":1351221828000},"page":"45-50","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":46,"title":["Modeling Susceptibility to Periodontitis"],"prefix":"10.1177","volume":"92","author":[{"given":"M.L.","family":"Laine","sequence":"first","affiliation":[{"name":"Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, and VU University Amsterdam, Department of Periodontology, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"Moustakis","sequence":"additional","affiliation":[{"name":"Foundation for Research and Technology \u2013 Hellas (FORTH), Institute of Computer Science, Bioinformatics Laboratory, Science and Technology Park of Crete, Heraklion 71110, Greece"},{"name":"Technical University of Crete, Department of Production Engineering and Management, Chania, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Koumakis","sequence":"additional","affiliation":[{"name":"Foundation for Research and Technology \u2013 Hellas (FORTH), Institute of Computer Science, Bioinformatics Laboratory, Science and Technology Park of Crete, Heraklion 71110, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Potamias","sequence":"additional","affiliation":[{"name":"Foundation for Research and Technology \u2013 Hellas (FORTH), Institute of Computer Science, Bioinformatics Laboratory, Science and Technology Park of Crete, Heraklion 71110, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B.G.","family":"Loos","sequence":"additional","affiliation":[{"name":"Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam, and VU University Amsterdam, Department of Periodontology, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2012,10,25]]},"reference":[{"key":"bibr1-0022034512465435","doi-asserted-by":"publisher","DOI":"10.1016\/0022-2496(75)90001-2"},{"key":"bibr2-0022034512465435","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-051X.2007.01095.x"},{"key":"bibr3-0022034512465435","unstructured":"Cortes C, Mohri M (2004). 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