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. 2023 Jun 9;13:9424. doi: 10.1038/s41598-023-36330-x

Table 3.

Genetic variants of MTR gene and risk of CHD.

Genotype Univariate analysis Multivariate analysis
P OR (95% CI) FDR_P P aOR (95% CI) b FDR_Pa
rs955516
TT 1 1 1 1 1 1
TA 0.427 0.90(0.70–1.16) 0.834 0.384 0.89(0.67–1.16) 0.864
AA 0.984 1.00(0.72–1.39) 0.993 0.586 1.10(0.78–1.56) 0.884
Dominant modelc 0.544 0.93(0.73–1.18) 0.703 0.641 0.94(0.73–1.22) 0.869
Recessive modeld 0.659 1.07(0.80–1.42) 0.941 0.276 1.19(0.87–1.62) 0.954
Additive modee 0.871 0.99(0.84–1.16) 0.990 0.767 1.03(0.86–1.22) 0.860
rs1266164
CC 1 1 1 1 1 1
CT 0.289 1.14(0.89–1.47) 0.834 0.285 1.16(0.89–1.51) 0.864
TT 0.993 0.10(0.56–1.78) 0.993 0.684 0.88(0.47–1.65) 0.884
Dominant modelc 0.332 1.13(0.89–1.43) 0.703 0.387 1.12(0.87–1.45) 0.697
Recessive modeld 0.884 0.96(0.54–1.70) 0.941 0.583 0.84(0.45–1.57) 0.954
Additive modee 0.445 1.08(0.86–1.32) 0.801 0.590 1.06(0.86–1.32) 0.860
rs3768139
CC 1 1 1 1 1 1
GC 0.386 1.12(0.87–1.43) 0.834 0.373 1.13(0.87–1.47) 0.864
GG 0.974 0.99(0.56–1.76) 0.993 0.667 0.87(0.47–1.63) 0.884
Dominant modelc 0.431 1.10(0.87–1.40) 0.703 0.487 1.10(0.85–1.41) 0.797
Recessive modeld 0.884 0.96(0.54–1.70) 0.941 0.583 0.84(0.45–1.57) 0.954
Additive modee 0.541 1.06(0.87–1.30) 0.819 0.692 1.05(0.84–1.30) 0.860
rs6676866
GG 1 1 1 1 1 1
GT 0.053 1.28(0.10–1.65) 0.273 0.083 1.27(0.97–1.67) 0.383
TT 0.307 1.18(0.86–1.64) 0.834 0.806 1.05(0.74–1.48) 0.884
Dominant modelc 0.062 1.25(0.99–1.59) 0.227 0.153 1.20(0.93–1.55) 0.424
Recessive modeld 0.884 1.02(0.77–1.36) 0.941 0.542 0.91(0.67–1.24) 0.954
Additive modee 0.183 1.11(0.95–1.31) 0.672 0.532 1.06(0.89–1.25) 0.860
rs1050993
GG 1 1 1 1 1 1
GA 0.587 1.07(0.84–1.37) 0.879 0.546 1.09(0.83–1.42) 0.884
AA 0.724 1.11(0.63–1.94) 0.916 0.901 1.04(0.57–1.91) 0.954
Dominant modelc 0.547 1.08(0.85–1.36) 0.703 0.556 1.08(0.84–1.39) 0.834
Recessive modeld 0.777 1.08(0.62–1.89) 0.941 0.965 1.01(0.56–1.85) 0.970
Additive modee 0.546 1.06(0.87–1.30) 0.819 0.611 1.06(0.85–1.31) 0.860
rs2229276
AA 1 1 1 1 1 1
AG 0.676 0.95(0.73–1.23) 0.901 0.976 1.00(0.76–1.34) 0.976
GG 0.738 0.95(0.69–1.30) 0.916 0.628 1.09(0.77–1.53) 0.884
Dominant modelc 0.661 0.95(0.74–1.21) 0.709 0.830 1.03(0.79–1.35) 0.934
Recessive modeld 0.891 0.98(0.75–1.28) 0.941 0.578 1.08(0.82–1.44) 0.954
Additive modee 0.719 0.97(0.83–1.14) 0.990 0.642 1.04(0.88–1.23) 0.860
rs4659743
TT 1 1 1 1 1 1
TA 0.535 1.08(0.84–1.39) 0.875 0.480 1.10(0.84–1.44) 0.884
AA 0.370 1.28(0.74–2.21) 0.834 0.461 1.25(0.70–2.23) 0.884
Dominant modelc 0.399 1.11(0.87–1.40) 0.703 0.384 1.12(0.87–1.44) 0.697
Recessive modeld 0.413 1.25(0.73–2.15) 0.941 0.519 1.21(0.68–2.15) 0.954
Additive modee 0.320 1.10(0.91–1.34) 0.799 0.340 1.11(0.90–1.37) 0.860
rs1806505
CC 1 1 1 1 1 1
CT 0.072 0.79(0.62–1.02) 0.288 0.116 0.80(0.61–1.06) 0.464
TT 0.339 0.85(0.61–1.18) 0.834 0.646 0.92(0.65–1.31) 0.884
Dominant modelc 0.080 0.81(0.64–1.03) 0.240 0.165 0.83(0.65–1.08) 0.424
Recessive modeld 0.881 0.98(0.73–1.31) 0.941 0.751 1.05(0.77–1.44) 0.970
Additive modee 0.205 0.90(0.77–1.06) 0.672 0.448 0.94(0.79–1.11) 0.860
rs3768142
TT 1 1 1 1 1 1
GT 0.616 1.06(0.84–1.36) 0.879 0.575 1.08(0.83–1.40) 0.884
GG 0.440 1.14(0.82–1.59) 0.834 0.939 0.99(0.69–1.42) 0.966
Dominant modelc 0.488 1.08(0.86–1.36) 0.703 0.676 1.05(0.83–1.34) 0.869
Recessive modeld 0.528 1.11(0.81–1.51) 0.941 0.761 0.95(0.68–1.33) 0.970
Additive modee 0.421 1.07(0.91–1.25) 0.801 0.889 1.01(0.85–1.20) 0.889
rs4659724
GG 1 1 1 1 1 1
GA 0.007 0.71(0.55–0.91) 0.050 0.017 0.72(0.55–0.942) 0.122
AA 0.062 0.73(0.53–1.02) 0.279 0.235 0.81(0.57–1.15) 0.846
Dominant modelc 0.005 0.72(0.57–0.90) 0.030 0.022 0.74(0.58–0.96) 0.132
Recessive modeld 0.452 0.89(0.67–1.20) 0.941 0.906 0.98(0.72–1.34) 0.970
Additive modee 0.021 0.83(0.71–0.97) 0.126 0.106 0.87(0.73–1.03) 0.636
rs6668344
CC 1 1 1 1 1 1
CT 0.480 0.91(0.70–1.18) 0.857 0.789 0.96(0.73–1.28) 0.884
TT 0.368 0.86(0.63–1.19) 0.834 0.810 0.96(0.68–1.35) 0.884
Dominant modelc 0.382 0.90(0.70–1.15) 0.703 0.771 0.96(0.74–1.26) 0.925
Recessive modeld 0.532 0.92(0.70–1.20) 0.941 0.908 0.98(0.74–1.32) 0.970
Additive modee 0.355 0.93(0.79–1.09) 0.799 0.799 0.98(0.83–1.16) 0.860
rs1805087
AA 1 1 1 1 1 1
AG  < 0.001 1.64(1.26–2.14)  < 0.001 0.006 1.49(1.12–1.98) 0.054
GG  < 0.001 6.30(2.78–14.27)  < 0.001  < 0.001 6.85(2.94–15.96)  < 0.001
Dominant modelc  < 0.001 1.89(1.46–2.43)  < 0.001  < 0.001 1.77(1.35–2.32)  < 0.001
Recessive modeld  < 0.001 5.56(2.46–12.57)  < 0.001  < 0.001 6.26(2.69–14.54)  < 0.001
Additive modee  < 0.001 1.88(1.51–2.34)  < 0.001  < 0.001 1.81(1.44–2.29)  < 0.001
rs4077829
GG 1 1 1 1 1 1
GT 0.635 0.94(0.73–1.21) 0.879 0.771 0.96(0.73–1.26) 0.884
TT 0.875 0.97(0.70–1.35) 0.993 0.733 1.06(0.75–1.52) 0.884
Dominant modelc 0.670 0.95(0.75–1.21) 0.709 0.918 0.99(0.76–1.28) 0.964
Recessive modeld 0.941 1.01(0.76–1.35) 0.941 0.583 1.09(0.80–1.49) 0.954
Additive modee 0.805 0.98(0.83–1.15) 0.990 0.812 1.02(0.86–1.22) 0.860
rs2275565
GG 1 1 1 1 1 1
GT 0.002 1.50(1.16–1.94) 0.018 0.003 1.52(1.15–1.20) 0.036
TT  < 0.001 5.19(2.12–12.69)  < 0.001 0.001 4.93(1.93–12.58) 0.018
Dominant modelc  < 0.001 1.65(1.29–2.12)  < 0.001  < 0.001 1.66(1.27–2.17)  < 0.001
Recessive modeld 0.001 4.66(1.91–11.37)  < 0.001 0.002 4.41(1.73–11.22) 0.018
Additive modee  < 0.001 1.68(1.34–2.10)  < 0.001  < 0.001 1.68(1.32–2.13)  < 0.001
rs3754255
TT 1 1 1 1 1 1
TC 0.500 0.91(0.70–1.19) 0.857 0.302 0.86(0.65–1.14) 0.864
CC 0.934 1.01(0.75–1.38) 0.993 0.565 0.91(0.65–1.27) 0.884
Dominant modelc 0.659 0.95 (0.74–1.21) 0.709 0.327 0.88(0.67–1.14) 0.697
Recessive modeld 0.597 1.07(0.84–1.39) 0.941 0.970 0.10(0.75–1.32) 0.970
Additive modee 0.969 1.00(0.86–1.17) 1.000 0.523 0.95(0.80–1.12) 0.860
rs3820571
TT 1 1 1 1 1 1
TG 0.809 1.03(0.80–1.32) 0.971 0.726 1.05(0.80–1.37) 0.884
GG 0.597 0.86(0.49–1.51) 0.879 0.357 0.75(0.41–1.38) 0.864
Dominant modelc 0.952 1.01(0.80–1.28) 0.952 0.964 1.01(0.78–1.30) 0.964
Recessive modeld 0.571 0.85(0.49–1.49) 0.941 0.329 0.74(0.40–1.36) 0.954
Additive modee 0.880 0.99(0.81–1.20) 0.990 0.757 0.97(0.78–1.20) 0.860
rs10925252
CC 1 1 1 1 1 1
CT 0.293 0.86(0.65–1.14) 0.834 0.085 0.77(0.57–1.04) 0.383
TT 0.934 0.99(0.73–1.34) 0.993 0.357 0.86(0.62–1.19) 0.864
Dominant modelc 0.466 0.91(0.70–1.18) 0.703 0.117 0.80 (0.61–1.06) 0.424
Recessive modeld 0.493 1.09(0.85–1.39) 0.941 0.909 1.02(0.78–1.33) 0.970
Additive modee 1.000 1.00(0.86–1.16) 1.000 0.390 0.93(0.79–1.10) 0.860
rs12060570
GG 1 1 1 1 1 1
GC 0.046 0.78(0.60–0.99) 0.273 0.061 0.77(0.59–1.01) 0.366
CC 0.401 0.87(0.63–1.21) 0.834 0.775 0.95(0.67–1.35) 0.884
Dominant modelc 0.063 0.80 (0.63–1.01) 0.227 0.121 0.82(0.63–1.06) 0.424
Recessive modeld 0.941 1.01(0.76–1.35) 0.941 0.508 1.11(0.81–1.51) 0.954
Additive modee 0.224 0.91(0.77–1.06) 0.672 0.499 0.94(0.79–1.12) 0.860

aOR = adjusted odds ratio; CI = confidence interval.

a P < 0.05 was considered to indicate a statistically significant difference;

b Adjusted for residence, BMI before pregnancy, history of gestational diabetes mellitus, history of gestational hypertension, history of consanguineous marriage, family history of congenital malformations, cold before pregnancy, smoking before pregnancy, alcohol drinking before pregnancy, and folate supplement before or during pregnancy.

c Dominant model means homozygous variant + heterozygous variant versus homozygous wild-type.

d Recessive model means homozygous variant versus heterozygous variant + homozygous wild-type.

e Additive model means homozygous variant versus heterozygous variant versus homozygous wild-type.

Significant values are in [bold].