Table 2. Interactions of SNPs with dietary glycemic index (GI) and protein intake on weight gain in random subcohort analyses (n = 6,566).
| Gene | Number of SNPs | 1 minor allele×1 unit GI | 1 minor allele×1 gram protein | ||||||
| β (kg/m2) 1 | P value2 | β (kg/m2) 1 | P value2 | ||||||
| Lowest | Highest | Lowest | Highest | Lowest | Highest | Lowest | Highest | ||
| CCK | 8 | −6 | 4 | 0.2 | 0.9 | −8 | 10 | 0.2 | 1.0 |
| CCKAR | 5 | −2 | 10 | 0.3 | 0.6 | −8 | 2 | 0.2 | 0.8 |
| GHRL | 12 | −8 | 8 | 0.03 | 1.0 | −9 | 10 | 0.09 | 1.0 |
| GLP-1 | 2 | −8 | 4 | 0.2 | 0.4 | −3 | −2 | 0.7 | 0.8 |
| 5-HT1A | 1 | −4 | −4 | 0.3 | 0.3 | −5 | −5 | 0.3 | 0.3 |
| IL-6 | 7 | −12 | 7 | 0.05 | 0.8 | −5 | 12 | 0.1 | 0.9 |
| LEP | 6 | −7 | 5 | 0.09 | 0.9 | −30 | 11 | 0.008 | 0.8 |
| LEPR | 35 | −17 | 11 | 0.02 | 1.0 | −11 | 8 | 0.2 | 0.9 |
| MC4R | 3 | 0.1 | 7 | 0.2 | 1.0 | −2 | 6 | 0.4 | 0.9 |
| mTOR | 4 | −6 | 14 | 0.2 | 0.9 | −13 | 7 | 0.3 | 0.8 |
| NMB | 4 | −6 | 25 | 2×10−7 | 0.9 | −20 | 12 | 0.02 | 0.9 |
| NPY | 8 | −5 | 7 | 0.1 | 0.8 | −4 | 4 | 0.6 | 1.0 |
| NUCB2 | 12 | −6 | 9 | 0.006 | 0.9 | −8 | 12 | 0.06 | 1.0 |
| POMC | 9 | −21 | 12 | 0.04 | 0.9 | −9 | 11 | 0.07 | 1.0 |
| PYY | 7 | −7 | 5 | 0.3 | 1.0 | −8 | 0.5 | 0.09 | 1.0 |
SNP: single nucleotide polymorphism.
1
Values presented are the overall meta-analyzed regression coefficients. The lowest and highest values are the minimum and maximum β among the SNPs in that specific gene.
2
P values of the meta-analyzed βs. The lowest and highest values are the minimum and maximum P value among the SNPs in that specific gene.