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. 2017 Nov 24;7:16246. doi: 10.1038/s41598-017-16500-4

Table 5.

Logistic regression analysis to predict the risk of CRC in non-CRC groups.

Parameter Coefficient SE P a value ORa OR (95% CI)
Univariate analysis
HULC expression 0.129 0.031 <0.0001 1.137 1.07–1.207
rs6983267 (GG vs GT/TT) 0.837 0.295 0.005 2.3 1.295–3.533
rs7763881 (AC vs AA) −0.774 0.337 0.02 0.46 0.238–0.892
Multivariate analysis
HULC expression 0.136 0.034 <0.0001 1.146 1.073–1.224
rs6983267 (GG vs GT/TT) 0.932 0.319 0.004 2.538 1.358–4.761
rs7763881 (AC vs AA) −0.529 0.369 0.152 0.589 0.285–1.215
Constant −0.657

Log likelihood of the stepwise multivariate logistic regression model = −144.39, −2 Log likelihood = 288.78, P < 0.0001. P a adjusted for age and sex. CRC, n = 120, non-CRC (healthy controls + AP), n = 126. P values in bold are statistically significant P < 0.05.