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Infectious events and positive blood cultures were associated significantly with 24 and 21 <jats:styled-content style=\"fixed-case\">SNP<\/jats:styled-content>s, respectively (<jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0.01). Classification and regression tree analysis demonstrated rs11033797 (<jats:italic><jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>51<jats:styled-content style=\"fixed-case\">F<\/jats:styled-content>1<\/jats:italic>), rs2835265 (<jats:italic><jats:styled-content style=\"fixed-case\">CBR<\/jats:styled-content>1<\/jats:italic>), rs28627172 (<jats:italic><jats:styled-content style=\"fixed-case\">POLDIP<\/jats:styled-content>3<\/jats:italic>) and rs1129844 (<jats:italic><jats:styled-content style=\"fixed-case\">CCL<\/jats:styled-content>11<\/jats:italic>) to be predictive of outcome. Among 61 patients for whom read\u2010outs were available for all four <jats:styled-content style=\"fixed-case\">SNP<\/jats:styled-content>s, 40 of 41 patients with the worst <jats:styled-content style=\"fixed-case\">SNP<\/jats:styled-content> profile experienced at least one infectious event compared with five of the remaining 20 patients (Hazard ratio 9.0, 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 3.4\u201323.5, which was unchanged after adjustments for neutrophil counts). Pathway analysis identified variations in \u2018<jats:styled-content style=\"fixed-case\">G<\/jats:styled-content>\u2010protein\u2010coupled receptor (<jats:styled-content style=\"fixed-case\">GPCR<\/jats:styled-content>) downstream signalling\u2019, \u2018<jats:styled-content style=\"fixed-case\">B<\/jats:styled-content>ile acid and bile salt metabolism\u2019 and \u2018<jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>lass <jats:styled-content style=\"fixed-case\">I MHC<\/jats:styled-content>\u2010mediated antigen processing and presentation\u2019 to be highly predictive of infections.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our data indicate that host genomic profiling may predict the risk of infections during induction therapy. 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