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. Author manuscript; available in PMC: 2009 Aug 26.
Published in final edited form as: Obesity (Silver Spring). 2008 Sep 11;16(11):2472–2480. doi: 10.1038/oby.2008.408

Table 3.

OR (95% CI) for the associations between two FTO SNPs and risk of being overweight and/or obese as compared to being normal weight (BMI < 25 kg/m2)

Ethnic groups Pooled estimatesa

White Black Hispanic Asian/Pacific Islander





rs9939609b
BMI ≥ 25 kg/m2
 Recessive model: 1.32 (1.00–1.73) 0.84 (0.59–1.20) 1.14 (0.54–2.43) 2.17 (0.58–8.06) 1.13 (0.83–1.54)
 TT+TA vs. AA P = 0.05 P = 0.33 P = 0.73 P = 0.25 P = 0.45
 Dominant model: 1.23 (1.00–1.52) 0.90 (0.64–1.26) 0.94 (0.60–1.47) 0.58 (0.33–1.04) 0.95 (0.71–1.26)
 TT vs. TA+AA P = 0.05 P = 0.54 P = 0.77 P = 0.07 P = 0.71
 Additive model: 1.19 (1.03–1.37) 0.90 (0.73–1.12) 0.99 (0.71–1.38) 0.76 (0.47–1.24) 1.00 (0.83–1.21)
 TT vs. TA vs. AA P = 0.02 P = 0.35 P = 0.95 P = 0.27 P = 1.00
BMI ≥ 30 kg/m2
 Recessive model: 1.30 (0.96–1.75) 0.90 (0.61–1.32) 1.67 (0.74–3.75) 1.43 (0.15–13.8) 1.17 (0.93–1.47)
 TT+TA vs. AA P = 0.09 P = 0.58 P = 0.22 P = 0.76 P = 0.18
 Dominant model: 1.32 (1.04–1.67) 0.95 (0.67–1.37) 1.28 (0.76–2.14) 0.57 (0.21–1.56) 1.13 (0.88–1.46)
 TT vs. TA+AA P = 0.02 P = 0.80 P = 0.35 P = 0.28 P = 0.33
 Additive model: 1.22 (1.04–1.44) 0.95 (0.76–1.18) 1.28 (0.88–1.87) 0.68 (0.28–1.65) 1.09 (0.88–1.33)
 TT vs. TA vs. AA P = 0.01 P = 0.63 P = 0.20 P = 0.39 P = 0.44
BMI ≥ 35 kg/m2c
 Recessive model: 1.42 (0.99–2.03) 0.89 (0.57–1.40) 2.30 (0.88–6.06) 1.28 (0.82–1.98)
 TT+TA vs. AA P = 0.06 P = 0.62 P = 0.09 P = 0.27
 Dominant model: 1.61 (1.20–2.16) 1.18 (0.77–1.80) 1.34 (0.68–2.61) 0.21 (0.02–2.09) 1.44 (1.15–1.81)
 TT vs. TA+AA P = 0.002 P = 0.45 P = 0.40 P = 0.18 P = 0.002
 Additive model: 1.37 (1.13–1.67) 1.03 (0.79–1.34) 1.42 (0.88–2.30) 0.23 (0.03–1.94) 1.24 (1.01–1.53)
 TT vs. TA vs. AA P = 0.002 P = 0.86 P = 0.15 P = 0.18 P = 0.04

rs8050136b

BMI ≥ 25 kg/m2
 Recessive model: 1.25 (0.95–1.65) 1.02 (0.69–1.51) 1.00 (0.48–2.07) 1.42 (0.43–4.63) 1.16 (0.94–1.44)
 CC+CA vs. AA P = 0.11 P = 0.93 P = 0.99 P = 0.56 P = 0.17
 Dominant model: 1.15 (0.93–1.41) 0.86 (0.62–1.19) 0.96 (0.61–1.51) 0.69 (0.39–1.23) 0.98 (0.80–1.20)
 CC vs. CA+AA P = 0.21 P = 0.35 P = 0.87 P = 0.2059 P = 0.81
 Additive model: 1.13 (0.98–1.31) 0.94 (0.76–1.16) 0.98 (0.70–1.36) 0.96 (0.75–1.23) 1.04 (0.94–1.15)
 CC vs. CA vs. AA P = 0.09 P = 0.56 P = 0.90 P = 0.42 P = 0.47
BMI ≥ 30 kg/m2
 Recessive model: 1.28 (0.95–1.72) 1.17 (0.77–1.78) 1.28 (0.57–2.88) 1.08 (0.12–9.72) 1.24 (0.99–1.57)
 CC+CA vs. AA P = 0.11 P = 0.46 P = 0.55 P = 0.95 P = 0.06
 Dominant model: 1.26 (0.99–1.59) 0.86 (0.61–1.23) 1.31 (0.78–2.18) 0.62 (0.23–1.71) 1.08 (0.83–1.41)
 CC vs. CA+AA P = 0.06 P = 0.41 P = 0.31 P = 0.36 P = 0.57
 Additive model: 1.19 (1.02–1.40) 0.99 (0.79–1.24) 1.22 (0.84–1.78) 0.72 (0.30–1.70) 1.12 (0.99–1.27)
 CC vs. CA vs. AA P = 0.03 P = 0.90 P = 0.30 P = 0.45 P = 0.07
BMI ≥ 35 kg/m2c
 Recessive model: 1.37 (0.96–1.96) 1.12 (0.69–1.81) 2.01 (0.78–5.18) 1.33 (1.01–1.74)
 CC+CA vs. AA P = 0.08 P = 0.64 P = 0.15 P = 0.04
 Dominant model: 1.17 (1.04–1.31) 0.89 (0.59–1.34) 1.38 (0.71–2.68) 0.24 (0.03–2.41) 1.15 (1.03–1.29)
 CC vs. CA+AA P = 0.007 P = 0.57 P = 0.35 P = 0.23 P = 0.01
 Additive model: 1.32 (1.09–1.61) 0.99 (0.76–1.29) 1.39 (0.87–2.22) 0.26 (0.03–2.16) 1.20 (0.97–1.48)
 CC vs. CA vs. AA P = 0.006 P = 0.91 P = 0.17 P = 0.21 P = 0.09

Results in boldface were statistically significant (P < 0.05).

CI, confidence interval; OR, odds ratio; SNPs, single-nucleotide polymorphisms.

a

Random-effect meta-analysis to estimate the pooled RR estimates for all case–control samples.

b

Unconditional logistic regression adjusted for matching factors including age, clinical center, and time of blood draw.

c

Pooled estimates for risk of having a BMI ≥35 kg/m2 did not include the unstable estimates for Asian/Pacific Islander group due to sparse sample numbers.