Table 2.
Genotypes of four SNPs on the effect of metformin efficacy in regression analysis.
| Variables a | Genotype | Mean ± SD (n) | BETA | BETA | ||
|---|---|---|---|---|---|---|
| Crude | p Value | Adjusted | p Value | |||
| ∆60FINS | SLC22A1 rs628031 | |||||
| GG | −0.178 ± 0.430 (44) | 0.000 | 0.000 | |||
| GA/AA | 0.061 ± 0.561 (32) | 0.238 | 0.03364 | 0.228 | 0.03300 | |
| SLC22A2 rs316019 | ||||||
| AC | −0.170 ± 0.456 (35) | 0.000 | 0.000 | |||
| CC | 0.002 ± 0.527 (41) | 0.172 | 0.12611 | 0.228 | 0.03371 | |
| SLC47A1 rs2289669 | ||||||
| AA/GG | −0.312 ± 0.456 (14) | 0.000 | 0.000 | |||
| AG | −0.024 ± 0.498 (62) | 0.287 | 0.04491 | 0.248 | 0.05860 | |
| SLC47A2 rs12943590 | ||||||
| GG | 0.090 ± 0.475 (27) | 0.000 | 0.000 | |||
| AG | −0.190 ± 0.461 (37) | −0.280 | 0.02129 | −0.273 | 0.01884 | |
| AA | −0.105 ± 0.603 (12) | −0.195 | 0.24290 | −0.242 | 0.12332 | |
| ∆60HOMA-IR | SLC22A1 rs628031 | |||||
| GG | −0.448 ± 0.461 (44) | 0.000 | 0.000 | |||
| GA/AA | −0.373 ± 0.600 (32) | 0.075 | 0.53045 | 0.083 | 0.47461 | |
| SLC22A2 rs316019 | ||||||
| AC | −0.511 ± 0.475 (35) | 0.000 | 0.000 | |||
| CC | −0.337 ± 0.551 (41) | 0.174 | 0.13896 | 0.202 | 0.07673 | |
| SLC47A1 rs2289669 | ||||||
| AA/GG | −0.675 ± 0.501 (14) | 0.000 | 0.000 | |||
| AG | −0.359 ± 0.512 (62) | 0.316 | 0.03378 | 0.274 | 0.04756 | |
| SLC47A2 rs12943590 | ||||||
| GG | −0.208 ± 0.482 (27) | 0.000 | 0.000 | |||
| AG | −0.543 ± 0.472 (37) | −0.335 | 0.00730 | −0.323 | 0.00748 | |
| AA | −0.499 ± 0.636 (12) | −0.291 | 0.08887 | −0.364 | 0.02586 | |
a Continuous variables were expressed as mean ± SD, (N) and analyzed using a t-test. Genetic associations were tested using regression analysis. Several variables were adjusted, including sex, age, BMI, metformin dosage, education, tea drink, smoking, and sweets.