Skip to main content

Advertisement

Table 2 Logistic regression and Kaplan-Meier analysis

From: The importance of a large sample cohort for studies on modifier genes influencing disease severity in FAP patients

Logistic regression model (n = 423)   Analysis endpoint - CRC Analysis endpoint - Adenomas
APT5A1 SNP: Genotype Total n (%) Cancer free (n) CRC (n) Adenomas (n) OR (95% CI) p-value Kaplan-Meier analysis p-value* OR (95% CI) p-value Kaplan-Meier analysis p-value*
rs2578189: CC 325 (77) 287 38 313 1.0   0.8739 1.0   0.5916
  CT 89 (21) 81 8 87 0.75 (0.33-1.66) 0.473 1.53 (0.33-70.3) 0.585
  TT 9 (2) 7 2 8 2.16 (0.43-10.77) 0.348   0.28 (0.03-2.45) 0.250  
  1. *Log-Rank p-value.
  2. Demographics of the genotype frequencies in Dutch FAP patients with CRC, patients with adenomas, and cancer/adenoma free individuals. Logistic regression model was used to test risk of CRC associated with each SNP, while Kaplan-Meier estimator analysis was used to test association between age of diagnosis of CRC/adenomas and genotype. Two different analyses were performed; one using CRC as endpoint of analysis and one using adenomas as endpoint of analysis.