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. 2014 Oct 22;9(10):e109235. doi: 10.1371/journal.pone.0109235

Table 3. Associations between SNPs of MTHFR, MTR, MTRR, DNMT1, and ALDH2 genes and cancers of the esophagus, stomach, and liver –the comparison between results from single SNP model1 and joint SNPs model2.

Esophageal Cancer Stomach Cancer Liver Cancer
Ca/Co SBOR1 (95% posterior limit) One-sidedP * SBOR2 (95% posterior limit) One-sidedP * Ca/Co SBOR1 (95% posterior limit) One-sided P * SBOR2 (95% posterior limit) One- sided P * Ca/Co SBOR1 (95% posterior limit) One- sided P * SBOR2 (95% posterior limit) One- sided P *
MTHFR
rs1801133
CC 65/135 1.00 1.00 50/135 1.00 1.00 50/135 1.00 1.00
CT 105/199 1.19 (0.80, 1.77) 0.20 1.20 (0.73, 1.96) 0.24 106/199 1.53 (1.00, 2.33) 0.024 1.33 (0.79, 2.21) 0.14 114/199 1.57 (1.02, 2.42) 0.021 1.34 (0.80, 2.25) 0.14
TT 32/57 1.35 (0.78, 2.32) 0.14 1.72 (0.91, 3.27) 0.048 38/57 2.26 (1.30, 3.91) 0.002 2.15 (1.13, 4.08) 0.010 30/57 1.17 (0.64, 2.12) 0.31 1.07 (0.52, 2.20) 0.42
P trend 0.21 0.033 0.001 0.003 0.24 0.18
Dominant 1.25 (0.85, 1.84) 0.13 1.37 (0.85, 2.21) 0.10 1.79 (1.18, 2.71) 0.003 1.64 (1.01, 2.66) 0.022 1.51 (0.98, 2.32) 0.029 1.40 (0.88, 2.24) 0.078
Recessive 1.23 (0.74, 2.03) 0.21 1.55 (0.87, 2.75) 0.069 1.78 (1.09, 2.91) 0.011 1.93 (1.11, 3.35) 0.009 0.91 (0.53, 1.56) 0.37 1.00 (0.54, 1.83) 0.49
MTR
rs1805087
A/A 161/310 1.00 1.00 142/310 1.00 1.00 149/310 1.00 1.00
A/G 35/76 0.79 (0.50, 1.27) 0.17 0.83 (0.48, 1.45) 0.26 46/76 1.16 (0.74, 1.83) 0.26 1.23 (0.73, 2.09) 0.22 40/76 0.92 (0.57, 1.47) 0.36 0.94 (0.54, 1.63) 0.41
G/G 4/0 1/0 1/0
Dominant 0.90 (0.57, 1.42) 0.32 0.94 (0.55, 1.62) 0.42 1.19 (0.76, 1.87) 0.22 1.30 (0.78, 2.15) 0.16 0.93 (0.58, 1.49) 0.38 1.20 (0.73, 1.98) 0.23
MTRR
rs1532268
C/C 145/283 1.00 1.00 144/283 1.00 1.00 149/283 1.00 1.00
C/T 47/94 1.16 (0.76, 1.78) 0.25 0.99 (0.57, 1.70) 0.48 44/94 0.98 (0.63, 1.53) 0.47 1.01 (0.58, 1.77) 0.48 39/94 0.83 (0.52, 1.32) 0.21 1.03 (0.59, 1.81) 0.46
T/T 11/11 1.96 (0.89, 4.31) 0.047 1.61 (0.61, 4.25) 0.17 5/11 1.05 (0.43, 2.57) 0.46 0.83 (0.25, 2.70) 0.38 4/11 1.09 (0.42, 2.82) 0.43 1.58 (0.54, 4.63) 0.20
P trend 0.070 0.21 0.97 0.49 0.61 0.50
Dominant 1.32 (0.88, 1.98) 0.089 1.12 (0.67, 1.87) 0.34 1.00 (0.65, 1.52) 0.49 1.06 (0.63, 1.80) 0.41 0.85 (0.54, 1.34) 0.25 0.97 (0.59, 1.60) 0.46
Recessive 1.91 (0.87, 4.19) 0.052 1.70 (0.66, 4.40) 0.14 1.06 (0.43, 2.57) 0.45 0.87 (0.27, 2.81) 0.41 1.12 (0.43, 2.90) 0.41 1.41 (0.51, 3.86) 0.25
rs1801394
A/A 117/204 1.00 1.00 119/204 1.00 1.00 114/204 1.00 1.00
A/G 74/149 0.92 (0.63, 1.35) 0.34 0.84 (0.51, 1.36) 0.24 63/149 0.74 (0.49, 1.11) 0.070 0.66 (0.40, 1.08) 0.049 64/149 0.74 (0.49, 1.12) 0.078 0.79 (0.47, 1.31) 0.18
G/G 10/25 0.95 (0.47, 1.93) 0.44 1.16 (0.52, 2.59) 0.36 9/25 0.77 (0.37, 1.60) 0.24 0.98 (0.41, 2.34) 0.49 13/25 1.39 (0.70, 2.78) 0.17 1.60 (0.72, 3.55) 0.12
P trend 0.70 0.50 0.13 0.075 0.87 0.33
Dominant 0.92 (0.64, 1.34) 0.33 0.89 (0.56, 1.43) 0.32 0.73 (0.49, 1.07) 0.055 0.65 (0.41, 1.03) 0.034 0.83 (0.56, 1.24) 0.19 0.95 (0.61, 1.49) 0.42
Recessive 0.97 (0.48, 1.96) 0.47 1.35 (0.62, 2.92) 0.23 0.84 (0.41, 1.74) 0.32 1.09 (0.48, 2.47) 0.42 1.53 (0.78, 3.03) 0.11 1.49 (0.71, 3.13) 0.14
DNMT1
rs2228612
A/A 52/100 1.00 1.00 43/100 1.00 1.00 48/100 1.00 1.00
A/G 56/200 0.52 (0.33, 0.82) 0.003 0.52 (0.31, 0.85) 0.005 72/200 0.82 (0.51, 1.31) 0.20 0.81 (0.48, 1.36) 0.21 74/200 0.79 (0.49, 1.28) 0.17 0.69 (0.40, 1.18) 0.088
G/G 29/57 0.96 (0.55, 1.68) 0.44 0.87 (0.47, 1.58) 0.32 28/57 1.12 (0.62, 2.04) 0.35 1.06 (0.55, 2.04) 0.43 36/57 1.35 (0.76, 2.42) 0.15 1.25 (0.66, 2.35) 0.25
P trend 0.37 0.12 0.88 0.48 0.42 0.32
Dominant 0.60 (0.39, 0.94) 0.012 0.58 (0.36, 0.94) 0.013 0.89 (0.56, 1.41) 0.31 0.90 (0.55, 1.48) 0.34 0.93 (0.58, 1.50) 0.39 0.82 (0.51, 1.32) 0.21
Recessive 1.35 (0.81, 2.25) 0.13 1.20 (0.69, 2.09) 0.25 1.26 (0.74, 2.15) 0.20 1.19 (0.69, 2.07) 0.26 1.54 (0.92, 2.59) 0.051 1.62 (0.97, 2.71) 0.033
ALDH2
rs671
G/G 118/213 1.00 1.00 108/213 1.00 1.00 109/213 1.00 1.00
A/G 60/160 0.76 (0.51, 1.13) 0.088 0.78 (0.48, 1.27) 0.16 76/160 1.06 (0.71, 1.57) 0.39 0.99 (0.61, 1.62) 0.49 74/160 1.05 (0.70, 1.58) 0.41 1.04 (0.63, 1.70) 0.44
A/A 25/20 1.61 (0.86, 3.00) 0.066 1.10 (0.52, 2.31) 0.40 12/20 0.99 (0.48, 2.03) 0.49 1.12 (0.51, 2.47) 0.39 10/20 0.96 (0.45, 2.06) 0.46 0.80 (0.34, 1.92) 0.31
P trend 0.67 0.31 0.88 0.49 0.94 0.33
Dominant 0.90 (0.62, 1.31) 0.29 0.80 (0.51, 1.26) 0.17 1.05 (0.71, 1.54) 0.41 1.00 (0.63, 1.58) 0.50 1.04 (0.70, 1.54) 0.43 0.94 (0.61, 1.47) 0.40
Recessive 1.76 (0.96, 3.24) 0.035 1.16 (0.56, 2.37) 0.35 0.97 (0.48, 1.97) 0.47 1.01 (0.48, 2.14) 0.49 0.95 (0.45, 2.01) 0.44 0.84 (0.37, 1.87) 0.33
rs2238151
C/C 173/293 1.00 1.00 151/293 1.00 1.00 166/293 1.00 1.00
C/T 11/34 0.66 (0.34, 1.29) 0.11 0.81 (0.35, 1.86) 0.31 18/34 1.21 (0.65, 2.23) 0.28 1.00 (0.45, 2.22) 0.50 7/34 0.51 (0.23, 1.11) 0.045 0.36 (0.14, 0.92) 0.016
T/T 0/1 0/1 1/1 1.43 (0.39, 5.33) 0.30 1.00 (0.25, 4.00) 0.50
P trend 0.29 0.006
Dominant 0.65 (0.33, 1.28) 0.11 0.80 (0.35, 1.84) 0.30 1.20 (0.65, 2.21) 0.29 1.08 (0.49, 2.35) 0.43 0.58 (0.27, 1.25) 0.082 0.31 (0.13, 0.75) 0.005
Recessive 1.44 (0.39, 5.37) 0.29 1.00 (0.25, 4.00) 0.50
rs886205
G/G 173/315 1.00 1.00 150/315 1.00 1.00 149/315 1.00 1.00
A/G 29/69 0.78 (0.48, 1.28) 0.17 1.05 (0.55, 2.00) 0.44 41/69 1.47 (0.92, 2.34) 0.054 1.76 (0.93, 3.33) 0.041 40/69 1.38 (0.85, 2.24) 0.096 1.41 (0.75, 2.66) 0.14
A/A 2/4 1.00 (0.33, 3.08) 0.50 0.82 (0.25, 2.69) 0.37 2/4 1.18 (0.39, 3.65) 0.38 0.65 (0.19, 2.23) 0.25 2/4 1.27 (0.40, 4.10) 0.34 1.07 (0.31, 3.76) 0.46
P trend 0.39 0.37 0.098 0.31 0.14 0.17
Dominant 0.79 (0.49, 1.29) 0.17 0.99 (0.52, 1.86) 0.48 1.48 (0.93, 2.34) 0.047 1.38 (0.76, 2.51) 0.15 1.41 (0.88, 2.28) 0.076 1.34 (0.76, 2.37) 0.16
Recessive 1.02 (0.33, 3.13) 0.49 0.85 (0.26, 2.75) 0.39 1.16 (0.38, 3.55) 0.40 0.70 (0.20, 2.40) 0.28 1.25 (0.39, 4.03) 0.35 0.93 (0.28, 3.04) 0.45
1

: Single SNP model: models included one SNP only; Semi-Bayes odds ratio (SBOR) adjusted for age (5-year categories and deviation from stratum mean), sex, residency (city, rural), alcohol drinking frequency, smoking pack-years, BMI, education, H. pylori infection (in stomach cancer analyses), HBsAg (in liver cancer analyses), and plasma AFB1 levels (in liver cancer analyses), based on the assumption that genotype did not affect any of these variables.

2

: Joint SNPs model: models included all of the 8 SNPs; SBOR adjusted for the same set of covariates. All of the SNPs combined together were under the same genetic models (genotype-specific, log-additive, dominant, or recessive).

*: One-sided semi-Bayes P-values; the posterior probability that the point estimate is on the wrong side of the null [26], [27].

: P-value from Chi-Square test for trend.