Journal of Cancer Epidemiology

Research Article

The Interaction between Pesticide Use and Genetic Variants Involved in Lipid Metabolism on Prostate Cancer Risk

Table 1

Prostate cancer risk in relation to lipid metabolism variants with FDR trend <0.05 (sorted by gene and FDR ).


Gene					Minor allele
Gene	Chromosome	SNP	SNP region	Minor allele

ABCG5 (ATP-binding cassette subfamily G member 5)	2	rs1835815 rs2278356 rs4952683 rs10205816 rs4148214 rs6709904	IVS10−1132C>T Ex13−265T>G IVS12−44A>G IVS11−2527T>C IVS4+43T>C IVS6+317A>G	T C G G T G	0.28 0.31 0.19 0.26 0.46 0.10	1.22 1.22 1.21 1.16 0.87 1.23	(1.07–1.39) (1.07–1.40) (1.04–1.41) (1.01–1.33) (0.77–0.99) (1.02–1.49)	0.004 0.003 0.02 0.04 0.03 0.03	0.01 0.01 0.04 0.04 0.04 0.04
ALOXE3 (epidermis-type lipoxygenase 3)	17	rs6503086	−15319C>A	G	0.44	0.83	(0.73–0.94)	0.003	0.02
AMACR (alpha-methylacyl-CoA racemase)	5	rs299602 rs6863657	IVS4−1798C>T IVS4+4012C>T	A A	0.31 0.11	1.17 0.77	(1.03–1.34) (0.62–0.96)	0.02 0.02	0.04 0.04
FOXA3 (hepatocyte nuclear factor 3-gamma)	19	rs11669442	IVS1−776T>C	C	0.31	1.18	(1.03–1.35)	0.01	0.04
LRP2 (low-density lipoprotein-related protein 2)	2	rs10490131 rs2239595 rs2247506 rs2268365 rs2268372 rs2673164	IVS46−765T>C IVS30+70C>T IVS4+23A>G IVS27−372A>G IVS38−824A>T IVS4−2306G>A	G A C C A C	0.13 0.11 0.19 0.11 0.18 0.28	1.24 1.33 1.21 1.27 1.22 0.83	(1.05–1.47) (1.11–1.61) (1.04–1.41) (1.05–1.53) (1.04–1.42) (0.72–0.95)	0.01 0.002 0.01 0.01 0.01 0.01	0.04 0.04 0.04 0.04 0.04 0.04
PPARA (peroxisome proliferator-activated receptor alpha)	22	rs4253655 rs6007662	IVS3+1780G>A IVS10+2685A>G	A G	0.15 0.25	1.24 1.20	(1.05–1.46) (1.04–1.38)	0.01 0.01	0.02 0.02
TBXAS1 (thromboxane A synthase 1)	7	rs2284212	IVS9−11575G>A	A	0.28	1.22	(1.07–1.40)	0.004	0.04
UCP3 (mitochondrial uncoupling protein 3)	11	rs1726764	−13576A>G	C	0.47	1.17	(1.04–1.33)	0.01	0.03

¹Frequency of variant allele among controls.
²Risk estimate for effect per allele assuming log-additive model adjusting for age and state.