TABLE 2.
Case-control analyses for associations with obesity and metabolic syndrome components in Chinese Hans with the criteria of NCEP ATP III for Asian-Americans
Beijing |
Shanghai |
Beijing + Shanghai |
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Total number | Case (MAF) | OR (95% CI) | P | Case (MAF) | OR (95% CI) | P | OR (95% CI) | P | P(heter) | |
RBP4-metabolic syndrome components | ||||||||||
Obesity | 1989 | 320 | 1.34 (1.17 − 1.53) | 2.07E-5 | 154 | 1.48 (1.23 − 1.76) | 1.91E-5 | 1.38 (1.24 − 1.54) | 4.08E-9 | |
Central obesity | 3210 | 867 | 1.31 (1.18 − 1.45) | 3.28E-7 | 664 | 1.41 (1.26 − 1.58) | 1.21E-9 | 1.35 (1.25 − 1.45) | 1.15E-14 | |
Hypertriglyceridemia | 3210 | 423 | 1.62 (1.44 − 1.82) | 6.50E-16 | 354 | 2.06 (1.79 − 2.36) | 1.25E-24 | 1.80 (1.64 − 1.96) | 2.53E-38 | |
Low HDL-C | 3210 | 621 | 1.08 (0.97 − 1.20) | 0.19 | 721 | 1.16 (1.03 − 1.30) | 0.0122 | 1.11 (1.03 − 1.21) | 0.0066 | |
Hyperglycemia | 3210 | 851 | 1.00 (0.91 − 1.10) | 0.99 | 451 | 1.05 (0.94 − 1.19) | 0.39 | 1.02 (0.95 − 1.10)) | 0.56 | |
Hypertension | 3210 | 1188 | 1.19 (1.06 − 1.35) | 0.0043 | 1033 | 1.17 (1.04 − 1.32) | 0.0111 | 1.18 (1.08 − 1.28) | 0.0001 | |
RBP4-metabolic syndrome components | ||||||||||
rs10882273 (+11880 T>C)a | ||||||||||
Obesity | 315 (0.17) | 1.12 (0.85 − 1.47) | 0.42 | 151 (0.13) | 1.03 (0.72 − 1.47) | 0.87 | 1.08 (0.87 − 1.35) | 0.46 | 0.72 | |
Central obesity | 853 (0.17) | 1.03 (0.85 − 1.26) | 0.75 | 643 (0.13) | 1.06 (0.86 − 1.32) | 0.58 | 1.05 (0.90 − 1.21) | 0.54 | 0.85 | |
Hypertriglyceridemia | 416 (0.17) | 1.03 (0.82 − 1.28) | 0.82 | 346 (0.13) | 1.06 (0.82 − 1.37) | 0.64 | 1.04 (0.88 − 1.23) | 0.63 | 0.84 | |
Low HDL-C | 607 (0.17) | 1.02 (0.82 − 1.26) | 0.87 | 703 (0.13) | 0.92 (0.73 − 1.15) | 0.45 | 0.97 (0.83 − 1.13) | 0.69 | 0.51 | |
Hyperglycemia | 836 (0.17) | 1.00 (0.82 − 1.21) | 0.96 | 432 (0.12) | 0.85 (0.66 − 1.08) | 0.19 | 0.94 (0.80 − 1.09) | 0.39 | 0.32 | |
Hypertension | 1166 (0.17) | 1.06 (0.84 − 1.35) | 0.63 | 998 (0.13) | 0.92 (0.73 − 1.15) | 0.45 | 0.98 (0.83 − 1.16) | 0.83 | 0.38 | |
rs3758539 (-803 G>A)a | ||||||||||
Obesity | 317 (0.15) | 1.23 (0.93 − 1.63) | 0.16 | 145 (0.11) | 1.13 (0.77 − 1.66) | 0.53 | 1.19 (0.95 − 1.50) | 0.13 | 0.74 | |
Central obesity | 858 (0.14) | 1.05 (0.85 − 1.31) | 0.63 | 634 (0.11) | 1.12 (0.88 − 1.42) | 0.36 | 1.08 (0.92 − 1.27) | 0.33 | 0.71 | |
Hypertriglyceridemia | 421 (0.13) | 0.90 (0.70 − 1.14) | 0.37 | 336 (0.11) | 1.05 (0.79 − 1.39) | 0.75 | 0.96 (0.80 − 1.15) | 0.96 | 0.41 | |
Low HDL-C | 613 (0.14) | 0.92 (0.74 − 1.16) | 0.49 | 686 (0.10) | 0.97 (0.76 − 1.25) | 0.83 | 0.94 (0.80 − 1.12) | 0.51 | 0.76 | |
Hyperglycemia | 841 (0.14) | 1.02 (0.82 − 1.25) | 0.88 | 437 (0.09) | 0.94 (0.72 − 1.22) | 0.63 | 0.98 (0.94 − 1.16) | 0.85 | 0.65 | |
Hypertension | 1170 (0.14) | 1.03 (0.80 − 1.33) | 0.84 | 986 (0.10) | 0.93 (0.73 − 1.20) | 0.59 | 0.98 (0.82 − 1.17) | 0.81 | 0.60 | |
rs3758538 (-1265 A>C)b | ||||||||||
Obesity | 300 (0.06) | 0.90 (0.58 − 1.40) | 0.64 | 142 (0.05) | 0.97 (0.53 − 1.75) | 0.91 | 0.94 (0.66 − 1.35) | 0.74 | 0.85 | |
Central obesity | 814 (0.06) | 0.85 (0.61 − 1.19) | 0.35 | 626 (0.05) | 0.83 (0.58 − 1.19) | 0.32 | 0.86 (0.67 − 1.09) | 0.21 | 0.93 | |
Hypertriglyceridemia | 395 (0.04) | 0.65 (0.43 − 0.97) | 0.0372 | 341 (0.04) | 0.60 (0.37 − 0.96) | 0.0325 | 0.62 (0.45 − 0.85) | 0.0026 | 0.80 | |
Low HDL-C | 577 (0.06) | 0.76 (0.54 − 1.11) | 0.17 | 683 (0.05) | 0.81 (0.56 − 1.17) | 0.26 | 0.79 (0.61 − 1.02) | 0.07 | 0.86 | |
Hyperglycemia | 797 (0.06) | 1.07 (0.77 − 1.48) | 0.70 | 434 (0.04) | 0.81 (0.54 − 1.21) | 0.31 | 0.96 (0.74 − 1.23) | 0.72 | 0.30 | |
Hypertension | 1112 (0.06) | 0.87 (0.59 − 1.28) | 0.49 | 980 (0.05) | 0.98 (0.68 − 1.41) | 0.91 | 0.93 (0.71 − 1.22) | 0.61 | 0.67 | |
rs17108993 (-3248 C>G)a,b | ||||||||||
Obesity | 314 (0.05) | 0.93 (0.59 − 1.47) | 0.77 | 152 (0.04) | 0.56 (0.30 − 1.05) | 0.07 | 0.78 (0.54 − 1.13) | 0.19 | 0.20 | |
Central obesity | 854 (0.05) | 0.95 (0.67 − 1.34) | 0.77 | 657 (0.06) | 0.88 (0.65 − 1.20) | 0.41 | 0.91 (0.72 − 1.15) | 0.42 | 0.74 | |
Hypertriglyceridemia | 412 (0.05) | 1.07 (0.73 − 1.58) | 0.73 | 352 (0.06) | 0.99 (0.68 − 1.43) | 0.94 | 1.03 (0.78 − 1.34) | 0.86 | 0.76 | |
Low HDL-C | 606 (0.05) | 0.97 (0.67 − 1.41) | 0.88 | 712 (0.06) | 1.14 (0.83 − 1.56) | 0.42 | 1.07 (0.84 − 1.35) | 0.60 | 0.53 | |
Hyperglycemia | 834 (0.05) | 0.93 (0.66 − 1.31) | 0.68 | 447 (0.06) | 0.89 (0.63 − 1.25) | 0.49 | 0.91 (0.71 − 1.16) | 0.44 | 0.84 | |
Hypertension | 1164 (0.05) | 0.97 (0.65 − 1.46) | 0.89 | 1022 (0.06) | 0.68 (0.50 − 0.94) | 0.0185 | 0.78 (0.61 − 1.00) | 0.05 | 0.18 | |
rs11187549 (-3839 G>A) | ||||||||||
Obesity | 304 (0.50) | 1.05 (0.86 − 1.28) | 0.64 | 152 (0.45) | 0.84 (0.66 − 1.08) | 0.18 | 0.96 (0.82 − 1.13) | 0.63 | 0.18 | |
Central obesity | 833 (0.49) | 1.04 (0.89 − 1.20) | 0.64 | 642 (0.47) | 0.93 (0.81 − 1.08) | 0.33 | 0.98 (0.88 − 1.09) | 0.68 | 0.31 | |
Hypertriglyceridemia | 403 (0.49) | 1.04 (0.88 − 1.23) | 0.65 | 347 (0.46) | 0.96 (0.81 − 1.14) | 0.65 | 1.00 (0.89 − 1.13) | 0.98 | 0.52 | |
Low HDL-C | 598 (0.48) | 0.95 (0.82 − 1.16) | 0.55 | 699 (0.48) | 0.98 (0.84 − 1.13) | 0.76 | 0.97 (0.87 − 1.08) | 0.52 | 0.83 | |
Hyperglycemia | 810 (0.48) | 0.98 (0.85 − 1.13) | 0.77 | 440 (0.46) | 0.97 (0.83 − 1.13) | 0.69 | 0.97 (0.87 − 1.08) | 0.56 | 0.92 | |
Hypertension | 1146 (0.47) | 0.88 (0.74 − 1.05) | 0.17 | 1004 (0.47) | 0.94 (0.80 − 1.09) | 0.41 | 0.91 (0.81 − 1.02) | 0.11 | 0.62 |
BMI, body mass index; RBP4, retinol-binding protein 4. Obesity and normal weight were defined as BMI ⩾ 28 kg/m2 and BMI < 24 kg/m2 according to Chinese criteria. Overweight participants (n = 1221, 24 kg/m2 ⩽ BMI < 28 kg/m2) were excluded from the analyses for obesity. The metabolic syndromes was defined by the updated National Cholesterol Education Program Adult Treatment Panel III criteria (NCEP-ATP III) for Asian-Americans: (1) waist circumference ⩾ 90 cm (men); ⩾ 80 cm (women); (2) triglycerides ⩾ 1.7 mmol/L; (3) HDL-C < 1.03 mmol/L (men); < 1.30 mmol/L (women); (4) fasting plasma ⩾ 5.6 mmol/L or previously diagnosed type 2 diabetes or oral anti-diabetic medication; (5) blood pressure ⩾ 130 / 85 mm Hg or current use of anti-hypertensive drugs. P values were adjusted for age, sex, and BMI (where appropriate).
When Beijing and Shanghai participants combined, meta-analyses were conducted to evaluate the combined effects size for SNPs with significant differences in genotype distribution. Otherwise, analyses were performed by pooling all 3,210 subjects together.
Dominant model was applied. Otherwise, additive model was used.