Risk factors and gene polymorphisms of inflammatory bowel disease in population of Zhejiang, China

Table 1 The primers for NOD2/CARD15 gene

SNPs	Primers	Length of products (bp)
Arg702Trp	Forward5’CTTCCTGGCAGGGCTGTTGTC3’	176
	Reverse5’CATGCACGCTCTTGGCCTCAC3’
Gly908Arg	Forward 5’AAGTCTGTAATGTAAAGCCAC3’	380
	Reverse 5’CCCAGCTCCTCCCTCTTC3’
Leu1007fsinsC	Forward 5’CCTGCAGTCTCTTTAACTGG3’	168
	Reverse 5’CTTACCAGACTTCCAGGATG3’

SNPs: Single nucleotide polymorphisms.

Table 2 The single nucleotide polymorphisms, restriction enzymes and products of NOD2 gene

SNPs	Polymorphic alleles	Restriction enzymes	Wild-type alleles (bp)	Mutant alleles (bp)
Arg702Trp	C2104T	MspI	76 + 54 + 24 + 22	130 + 24 + 22
Gly908Arg	G2722C	HhaI	380	242 + 138
Leu1007fsinsC	3020insC	NlaIV	168	128 + 40

SNPs: Single nucleotide polymorphisms.

Table 3 Univariate logistic regression analysis of risk factors for inflammatory bowel disease

Variables	χ2	P	RR	95% CI
				Lower bound	Upper bound
Habitat condition during the past 5 yr	1.192	0.274	0.653	0.303	1.404
Educational background	1.250	0.265	0.724	0.284	1.528
Occupation classification	0.894	0.293	0.615	0.314	1.412
Alcoholic drinking	0.987	0.361	0.712	0.194	1.512
Cigarette smoking	1.215	0.194	0.843	0.247	1.384
Tea drinking	1.523	0.165	0.631	0.315	1.423
Stress	18.452	< 0.001	1.295	1.151	1.457
Milk intake	25.425	< 0.001	1.279	1.162	1.407
Fried food intake	24.378	< 0.002	1.286	1.154	1.417

RR: Risk ratio; CI: Confidence interval.

Table 4 Multivariate logistic regression analysis of risk factors for inflammatory bowel disease

Variables	χ2	P	RR	95% CI
				Lower bound	Upper bound
Milk intake	10.713	0.0011	1.243	1.091	1.415
Fried food intake	14.267	0.0002	1.238	1.108	1.383
Stress	13.377	0.0003	1.241	1.102	1.394

RR: Risk ratio; CI: Confidence interval.