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Figure S1. Map and sample size of the five locations. n: sample size; A= MAF of rs9939609, B= MAF of rs1421085. Map data ? 2019 Google.Table S1. Outer and inner primers for ARMS-PCR and ARMS-PCR resultsSNPPrimersFragmentsrs9939609Fin: 5’- TAGGTTCCTTGCGACTGCTGTGAATATA-3’Rin: 5’-GAGTAACAGAGACTATCCAAGTGCATCTCA-3’Fout: 5’- GTTCTACAGTTCCAGTCATTTTTGACAGC-3’Rout: 5’- AGCCTCTCTACCATCTTATGTCCAAACA-3’TT: 436 bp, 293 bpTA: 436 bp, 293 bp, 201 bpAA: 436 bp, 201 bprs1421085Fin: 5’- TAGCAGTTCAGGTCCTAAGGCATTAT-3’Rin: 5’- ACAAATTCTCATCAGACACTTAATCACTG-3’Fout: 5’- TTTAGGTTGTAATGAAGTTTTAGGCCTC-3’Rout: 5’- ATCAGGTTAAATAAATGCTTCTGGACAG-3’TT: 446 bp, 205 bpTC: 446 bp, 295 bp, 205 bpCC: 446 bp, 295 bpTable S2. Models of FTO SNPs associations with obesity parameters?N = 612BMIWCWHtREstimatespEstimatespEstimatespFTO rs9939609??????Codominant Model??????TA0.290.4921.450.1320.010.162AA1.420.0102.360.0660.010.152Age (years)-0.010.4670.010.673<0.010.013Male0.810.0315.22<0.001<0.010.440Urban2.75<0.0017.59<0.0010.04<0.001Dominant Model???TA+AA0.580.1401.690.0640.010.105Age (years)-0.010.4760.010.670<0.010.013Male0.850.0245.25<0.001<0.010.451Urban2.84<0.0017.66<0.0010.04<0.001Recessive Model???AA1.250.0121.510.1900.010.363Age (years)-0.010.4820.010.633<0.010.011Male0.820.0295.26<0.001<0.010.467Urban2.73<0.0017.49<0.0010.03<0.001FTO rs1421085??????Codominant Model??????TC0.540.1902.010.0350.010.042CC1.410.0092.970.0170.020.032Age (years)-0.010.4520.010.65<0.010.012Male0.810.0305.21<0.001<0.010.425Urban2.84<0.0017.70<0.0010.04<0.001Dominant Model???TC+CC0.780.0432.280.0110.010.016Age (years)-0.010.5110.020.618<0.010.010Male0.850.0245.25<0.001<0.010.445Urban2.87<0.0017.73<0.0010.04<0.001Recessive Model???CC1.120.0221.860.1020.010.156Age (years)-0.010.4380.010.679<0.010.013Male0.820.0295.24<0.001<0.010.444Urban2.80<0.0017.56<0.0010.03<0.001Statistical analysis was done using linear regression model, with adjustments for age, sex (male/female) and population (urban/rural). BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. The significant p values after Bonferroni correction are indicated in bold (p < 0.025).Table S3. Models of FTO SNPs associations with obesity categories?N = 612High BMIHigh WCHigh WHtROdds RatiopOdds RatiopOdds RatiopFTO rs9939609Codominant ModelTA0.960.8271.120.5611.350.115AA1.550.0861.400.1811.400.201Age (years)1.000.8081.010.2661.000.582Male1.670.0040.53<0.0010.930.676Urban3.13<0.0012.79<0.0013.01<0.001Dominant ModelTA+AA1.090.6281.180.3451.370.087Age (years)1.000.8021.010.2631.000.581Male1.700.0030.54<0.0010.930.680Urban3.23<0.0012.84<0.0013.02<0.001Recessive ModelAA1.590.0421.310.2281.170.506Age (years)1.000.8001.010.2601.000.546Male1.670.0040.53<0.0010.940.714Urban3.14<0.0012.77<0.0012.93<0.001FTO rs1421085Codominant ModelTC1.090.6571.210.3161.470.045CC1.650.0481.690.0341.840.018Age (years)1.000.7501.010.2831.000.569Male1.670.0050.53<0.0010.920.638Urban3.24<0.0012.86<0.0013.07<0.001Dominant ModelTC+CC1.230.2631.330.1091.560.013Age (years)1.000.8151.010.2471.000.533Male1.700.0030.53<0.0010.930.671Urban3.26<0.0012.88<0.0013.08<0.001Recessive ModelCC1.570.0471.520.0601.490.090Age (years)1.000.7451.010.2941.000.600Male1.670.0040.53<0.0010.930.664Urban3.22<0.0012.81<0.0012.96<0.001Statistical analysis was done using logistic regression model, with adjustments for age, sex (male/female) and population (urban/rural). BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. High BMI: BMI ≥ 25, High WC: male’s wc ≥ 90 cm or female’s wc ≥ 80 cm, High WHtR: WHtR ≥ 0.5. The significant p values after Bonferroni correction are indicated in bold (p < 0.025).Table S4. Models of FTO SNPs associations with obesity parameters in male vs. femaleMale (n = 326)Female (n = 286)?BMIWCWHtRBMIWCWHtREstimatespEstimatespEstimatespEstimatespEstimatespEstimatespFTO rs9939609Codominant ModelTA0.690.1920.960.466<0.010.586-0.180.7821.850.1910.010.180AA1.100.1001.410.398<0.010.6701.870.0443.160.1150.020.144Age (years)-0.020.184-0.040.34<0.010.332-0.010.7290.040.415<0.010.064Urban3.49<0.0019.38<0.0010.04<0.0011.900.0045.66<0.0010.020.011Dominant ModelTA+AA0.800.1051.090.380<0.010.5630.290.6442.150.1090.010.112Age (years)-0.020.175-0.040.333<0.010.331<0.010.8210.040.394<0.010.059Urban3.53<0.0019.42<0.0010.04<0.0012.050.0025.76<0.0010.020.009Recessive ModelAA0.690.2420.830.569<0.010.8481.970.0212.110.2510.010.314Age (years)-0.020.186-0.040.341<0.010.331-0.010.7150.040.369<0.010.053Urban3.44<0.0019.32<0.0010.04<0.0011.910.0035.53<0.0010.020.014FTO rs1421085Codominant ModelTC0.950.0691.760.1800.010.2330.070.9112.110.1310.010.109CC0.760.2371.590.3230.010.4782.390.0094.650.0190.030.021Age (years)-0.020.232-0.040.395<0.010.283-0.010.6890.030.449<0.010.073Urban3.57<0.0019.51<0.0010.05<0.0012.040.0025.74<0.0010.020.009Dominant ModelTC+CC0.890.0661.700.1600.010.2390.620.3162.710.0410.020.035Age (years)-0.020.223-0.040.389<0.010.289-0.010.7870.040.412<0.010.064Urban3.56<0.0019.50<0.0010.05<0.0012.060.0025.76<0.0010.020.008Recessive ModelCC0.230.6880.610.670<0.010.8502.350.0053.480.0560.020.067Age (years)-0.020.168-0.040.323<0.010.337-0.010.6930.040.395<0.010.059Urban3.49<0.0019.36<0.0010.04<0.0012.030.0025.66<0.0010.020.010Statistical analysis was done using linear regression model, with adjustments for age and population (urban/rural). BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. The significant p values after Bonferroni correction are indicated in bold (p < 0.025).Table S5. Models of FTO SNPs associations with obesity categories in male vs. femaleMale (n = 326)Female (n = 286)?High BMIHigh WCHigh WHtRHigh BMIHigh WCHigh WHtROdds RatiopOdds RatiopOdds RatiopOdds RatiopOdds RatiopOdds RatiopFTO rs9939609Codominant ModelTA1.140.6431.130.6611.280.3630.760.3471.090.7571.410.205AA1.100.7811.190.6081.260.5142.420.0221.690.1801.480.321Age (years)0.990.3631.000.9960.990.3761.000.9351.010.2681.010.227Urban4.47<0.0013.44<0.0013.69<0.0012.000.0192.270.0022.540.001Dominant ModelTA+AA1.130.6471.140.5961.280.3441.030.9161.200.4771.430.168Age (years)0.990.3641.000.9910.990.3771.000.9561.010.2421.010.223Urban4.46<0.0013.45<0.0013.69<0.0012.140.0092.340.0022.550.001Recessive ModelAA1.020.9481.110.731.080.7952.830.0031.610.1851.220.586Age (years)0.990.3591.000.9910.990.3881.000.8711.010.261.010.204Urban4.43<0.0013.41<0.0013.62<0.0012.030.0162.250.0022.460.001FTO rs1421085Codominant ModelTC1.400.2261.220.4551.330.2940.800.4661.170.5611.570.097CC1.080.8241.470.2371.790.0932.990.0052.020.0701.810.133Age (years)0.990.4421.000.9730.990.411.000.9001.010.2851.010.244Urban4.61<0.0013.48<0.0013.73<0.0012.210.0082.350.0012.570.001Dominant ModelTC+CC1.280.3271.300.2941.460.1381.030.9161.200.4771.430.168Age (years)0.990.4111.000.9410.990.4391.000.9561.010.2421.010.223Urban4.53<0.0013.51<0.0013.78<0.0012.140.0092.340.0022.550.001Recessive ModelCC0.900.7161.320.3431.530.1753.360.0011.850.0851.410.344Age (years)0.990.3611.000.9580.990.3591.000.8501.010.2701.010.214Urban4.45<0.0013.42<0.0013.63<0.0012.220.0082.330.0022.490.001Statistical analysis was done using logistic regression model, with adjustments for age and population (urban/rural). BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. High BMI: BMI ≥ 25, High WC: male’s wc ≥ 90 cm or female’s wc ≥ 80 cm, High WHtR: WHtR ≥ 0.5. The significant p values after Bonferroni correction are indicated in bold (p < 0.025).Table S6. Models of FTO SNPs associations with obesity parameters in urban vs ruralUrban (n = 318)Rural (n = 294)?BMIWCWHtRBMIWCWHtREstimatespEstimatespEstimatespEstimatespEstimatespEstimatespFTO rs9939609Codominant ModelTA-0.440.4510.410.754<0.010.9461.040.0712.320.0920.020.085AA0.850.2463.270.0460.020.1192.200.0090.900.6530.010.684Age (years)0.030.1820.140.003<0.01<0.001-0.040.010-0.090.022<0.010.484Male1.290.0206.21<0.001<0.010.976-0.070.8972.900.019-0.020.039Dominant ModelTA+AA-0.040.9441.310.2850.010.4811.270.0232.040.1240.010.119Age (years)0.030.2050.140.004<0.01<0.001-0.040.012-0.090.020<0.010.463Male1.360.0146.36<0.001<0.010.939-0.040.9392.860.021-0.020.036Recessive ModelAA1.090.0973.040.0380.020.0881.530.043-0.590.743<0.010.694Age (years)0.030.1920.140.003<0.01<0.001-0.040.012-0.090.026<0.010.518Male1.280.0216.22<0.001<0.010.978-0.040.9322.940.018-0.020.044FTO rs1421085Codominant ModelTC0.050.9371.480.2550.010.3721.090.0582.510.0690.020.053CC0.650.3852.790.0970.010.2092.300.0033.170.0820.020.068Age (years)0.030.2140.140.004<0.01<0.001-0.040.011-0.090.023<0.010.496Male1.320.0186.29<0.001<0.010.976-0.070.8852.830.022-0.020.033Dominant ModelTC+CC0.220.6771.860.1220.010.2311.410.012.680.0400.020.029Age (years)0.030.2070.140.004<0.01<0.001-0.040.016-0.090.024<0.010.513Male1.350.0156.37<0.001<0.010.938-0.040.9342.840.021-0.020.034Recessive ModelCC0.630.3612.030.1890.010.3261.650.0161.680.3040.010.286Age (years)0.030.2130.140.004<0.01<0.001-0.040.010-0.090.020<0.010.460Male1.320.0186.29<0.001<0.010.974-0.050.9152.870.021-0.020.037Statistical analysis was done using linear regression model, with adjustments for age and sex (male/female). BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. The significant p values after Bonferroni correction are indicated in bold (p < 0.025).Table S7. Models of FTO SNPs associations with obesity categories in urban vs. ruralUrban (n = 318)Rural (n = 294)?High BMIHigh WCHigh WHtRHigh BMIHigh WCHigh WHtROdds RatiopOdds RatiopOdds RatiopOdds RatiopOdds RatiopOdds RatiopFTO rs9939609Codominant ModelTA0.750.2570.950.8391.070.8261.440.281.300.3551.600.078AA1.160.6471.660.1271.750.1512.680.0241.090.8321.140.732Age (years)1.010.5541.030.0071.040.0010.990.1480.990.2830.980.036Male2.200.0010.550.0170.900.7171.020.9470.41<0.0010.710.154Dominant ModelTA+AA0.860.5181.130.6241.230.4431.640.1231.260.4041.500.116Age (years)1.010.5861.030.0091.040.0010.990.1660.990.2730.980.033Male2.240.0010.570.0230.920.781.040.8910.41<0.0010.710.145Recessive ModelAA1.360.2851.710.0751.690.1412.100.0440.920.8280.840.625Age (years)1.010.5851.030.0081.040.0010.990.1600.990.2910.980.042Male2.170.0010.550.0170.910.7261.020.9360.41<0.0010.720.168FTO rs1421085Codominant ModelTC0.930.7681.110.6931.130.6601.500.2331.310.3371.820.026CC1.140.6852.060.0381.870.1272.900.0081.410.3551.980.054Age (years)1.000.6101.030.0101.040.0010.990.1460.990.2830.980.038Male2.190.0010.540.0150.900.7211.010.9660.40<0.0010.700.134Dominant ModelTC+CC0.990.9541.320.2451.290.3371.810.0641.340.2801.860.015Age (years)1.010.5991.030.0091.040.0010.990.1900.990.2890.980.039Male2.220.0010.570.0220.930.7851.030.9050.40<0.0010.700.136Recessive ModelCC1.190.5671.950.0371.750.1432.250.0161.200.5851.380.304Age (years)1.000.6101.030.0101.040.0010.990.1400.990.2690.980.034Male2.190.0010.540.0150.910.7331.020.9510.41<0.0010.710.148Statistical analysis was done using logistic regression model, with adjustments for age and sex (male/female). BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. High BMI: BMI ≥ 25, High WC: male’s wc ≥ 90 cm or female’s wc ≥ 80 cm, High WHtR: WHtR ≥ 0.5. The significant p values after Bonferroni correction are indicated in bold (p < 0.025).Table S8. Associations of FTO SNPs rs9939609/rs1421085 haplotypes with obesity ?Total (N = 612)BMIWCWHtRHigh BMIHigh WCHigh WHtREst.pEst.pEst.pOdds ratiopOdds ratiopOdds ratiopHaplotype AC (38.2%)0.730.0081.470.0220.010.0481.250.0841.240.0841.300.047Haplotype AT (3.4%)-0.460.511-0.750.649-0.010.4540.740.3900.650.2120.720.320Haplotype TC (2.4%)-0.220.7882.150.2520.020.1971.000.9941.330.4402.070.086Age (years)-0.010.4860.010.659<0.010.0121.000.8101.010.2551.000.551Male0.830.0265.21<0.001<0.010.4321.690.0040.53<0.0010.920.656Urban2.84<0.0017.71<0.0010.04<0.0013.30<0.0012.93<0.0013.13<0.001Statistical analysis was done using linear regression model, while adjusting for age, gender (female/male) and population (urban/rural). The model used for linear regression: outcome ~ haplotype + age + gender + population. Haplotype AC: A allele in rs9939609 and C allele in rs1421085. Haplotype AT: A allele in rs9939609 and T allele in rs1421085. Haplotype TC: T allele in rs9939609 and C allele in rs1421085. BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. High BMI: BMI ≥ 25, High WC: male’s WC ≥ 90 cm or female’s WC ≥ 80 cm, High WHtR: WHtR ≥ 0.5. The significant p-values after Bonferroni correction are indicated in bold (p < 0.025).Table S9. Associations of FTO SNPs haplotypes with obesity in male vs female.Male (n = 326)?BMIWCWHtRHigh BMIHigh WCHigh WHtREst.pEst.pEst.pOdds ratiopOdds ratiopOdds ratiopHaplotype AC (39.9%)0.610.0690.910.280<0.010.4711.100.5711.180.3261.240.230Haplotype AT (3.9%)-0.150.852-0.920.654-0.010.4530.620.2950.470.1130.600.245Haplotype TC (2.7%)-1.100.2320.200.931<0.010.9070.580.3250.950.9111.770.275Age (years)-0.020.213-0.040.367<0.010.3030.990.4271.000.9210.990.437Urban3.47<0.0019.44<0.0010.05<0.0014.52<0.0013.62<0.0013.90<0.001Female (n = 286)?BMIWCWHtRHigh BMIHigh WCHigh WHtREst.pEst.pEst.pOdds ratiopOdds ratiopOdds ratiopHaplotype AC (36.1%)0.840.0621.990.0410.010.0451.460.0581.290.1691.330.142Haplotype AT (2.7%)-1.050.405-0.660.809-0.010.7180.910.8770.970.9530.920.874Haplotype TC (2.0%)1.310.3575.530.0740.040.0542.230.1672.350.1892.810.172Age (years)-0.010.7150.030.4380.000.0691.000.8751.010.2791.010.243Urban2.110.0015.83<0.0010.020.0072.220.0072.380.0012.580.001Statistical analysis was done using linear regression model, while adjusting for age and population (urban/rural). The model used for linear regression: outcome ~ haplotype + age + population. Haplotype AC: A allele in rs9939609 and C allele in rs1421085. Haplotype AT: A allele in rs9939609 and T allele in rs1421085. Haplotype TC: T allele in rs9939609 and C allele in rs1421085. BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. High BMI: BMI ≥ 25, High WC: male’s WC ≥ 90 cm or female’s WC ≥ 80 cm, High WHtR: WHtR ≥ 0.5. The significant p-values after Bonferroni correction are indicated in bold (p < 0.025).Table S10. Associations of FTO SNPs haplotypes with obesity in urban vs rural.Urban (n = 318)?BMIWCWHtRHigh BMIHigh WCHigh WHtREst.pEst.pEst.pOdds ratiopOdds ratiopOdds ratiopHaplotype AC (37.5%)0.340.3561.610.0540.010.1341.050.7731.340.0831.330.141Haplotype AT (4.3%)-0.400.659-0.560.786-0.010.6420.770.5160.620.2320.860.737Haplotype TC (1.6%)-1.560.256-3.200.298-0.020.2460.680.5221.010.9890.770.703Age (years)0.030.1800.140.003<0.01<0.0011.010.5631.030.0081.040.001Male1.330.0166.28<0.001<0.010.9762.220.0010.560.0210.910.733Rural (n = 294)?BMIWCWHtRHigh BMIHigh WCHigh WHtREst.pEst.pEst.pOdds ratiopOdds ratiopOdds ratiopHaplotype AC (38.9%)1.200.0031.140.2350.010.2271.710.0171.140.5161.260.223Haplotype AT (2.3%)-0.550.617-1.290.626-0.010.4860.520.4990.720.6020.480.244Haplotype TC (3.1%)0.460.6334.890.0340.030.0261.330.5691.510.3663.230.037Age (years)-0.040.012-0.090.0230.000.5060.990.1630.990.2880.980.041Male-0.050.9202.800.023-0.020.0321.020.9370.40<0.0010.690.130Statistical analysis was done using linear regression model, while adjusting for age and population (urban/rural). The model used for linear regression: outcome ~ haplotype + age + gender. Haplotype AC: A allele in rs9939609 and C allele in rs1421085. Haplotype AT: A allele in rs9939609 and T allele in rs1421085. Haplotype TC: T allele in rs9939609 and C allele in rs1421085. BMI: body mass index, WC: waist circumference, WHtR: waist to height ratio. High BMI: BMI ≥ 25, High WC: male’s WC ≥ 90 cm or female’s WC ≥ 80 cm, High WHtR: WHtR ≥ 0.5. The significant p-values after Bonferroni correction are indicated in bold (p < 0.025). ................
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