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. 2017 Jun 3;10(1-2):32–42. doi: 10.1159/000469662

Table 2.

Results of binary logistic regression analysis with 3- and 12-month weight loss as dependent variable (<5% weight loss is reference) and the genotypes as independent variables

Gene rs number Genotype/model OR (95% CI) p value1 OR2 (95% CI) p value1, 2
3 months
 PLIN1 rs2289487 C/C vs. T/T-T/C3 1.92 (1.17–3.13) 0.009 1.94 (1.18–3.18) 0.009
 PLIN1 rs2304795 G/G vs. A/A-G/A3 1.75 (1.10–2.79) 0.018 1.75 (1.09–2.80) 0.020
 PLIN1 rs1052700 T/T vs. A/A-T/A3 1.72 (1.04–2.82) 0.033 1.74 (1.05–2.88) 0.031
 MMP2 rs1132896 C/C vs. G/G-G/C3 1.83 (1.13–2.96) 0.014 1.84 (1.13–2.99) 0.014

12 months
 PPARγ rs1801282 C/C vs. C/G-G/G4 2.03 (1.07–3.87) 0.025 2.25 (1.17–4.34) 0.012
 TIMP4 rs3755724 T/C vs. C/C-T/T5 2.03 (1.21–3.41) <0.001 2.03 (1.19–3.45) 0.008

OR, odds ratio; 95% CI, 95% confidence interval.

1

p value not corrected for multiple SNPs.

2

Adjusted for BMI and age as covariates.

3

Recessive.

4

Dominant.

5

Overdominant.