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

Table 2 Logistic regression and Kaplan-Meier analysis

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	0.8739	1.53 (0.33-70.3)	0.585	0.5916
	TT	9 (2)	7	2	8	2.16 (0.43-10.77)	0.348		0.28 (0.03-2.45)	0.250

*Log-Rank p-value.
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.

ISSN: 1897-4287