Multivariate analysis of the effect of polymorphisms in folate-related genes on in vitro MTX sensitivity (TSI50) of childhood ALL
. | Multivariate analysis . | . | |
|---|---|---|---|
| Polymorphism . | TSI50,cont, Stand β . | TSI50,short, Stand β . | |
| MTHFR 677C > T | |||
| CT vs CC | −0.033 | −0.043 | |
| TT vs CC | 0.044 | 0.067 | |
| MTHFR 1298A > C | |||
| AC vs AA | 0.264* | 0.281† | |
| CC vs AA | 0.064 | 0.074 | |
| MTR 2756 A > G | |||
| AG vs AA | −0.100 | −0.047 | |
| GG vs AA | −0.005 | −0.019 | |
| MTRR 66A > G | |||
| AG vs AA | 0.272§ | 0.399∥ | |
| GG vs AA | 0.204 | 0.272‡ | |
| MTHFD1 1958G > A | |||
| GA vs GG | 0.012 | 0.137 | |
| AA vs GG | −0.060 | −0.003 | |
| SHMT1 1420 C > T | |||
| CT vs CC | −0.002 | 0.026 | |
| TT vs CC | 0.259‡ | 0.096 | |
| TS 2R3R | |||
| 3R2R vs 3R3R | −0.088 | −0.058 | |
| 2R2R vs 3R3R | −0.034 | 0.012 | |
| RFC 80G > A | |||
| GA vs GG | 0.043 | −0.003 | |
| AA vs GG | 0.009 | 0.057 | |
. | Multivariate analysis . | . | |
|---|---|---|---|
| Polymorphism . | TSI50,cont, Stand β . | TSI50,short, Stand β . | |
| MTHFR 677C > T | |||
| CT vs CC | −0.033 | −0.043 | |
| TT vs CC | 0.044 | 0.067 | |
| MTHFR 1298A > C | |||
| AC vs AA | 0.264* | 0.281† | |
| CC vs AA | 0.064 | 0.074 | |
| MTR 2756 A > G | |||
| AG vs AA | −0.100 | −0.047 | |
| GG vs AA | −0.005 | −0.019 | |
| MTRR 66A > G | |||
| AG vs AA | 0.272§ | 0.399∥ | |
| GG vs AA | 0.204 | 0.272‡ | |
| MTHFD1 1958G > A | |||
| GA vs GG | 0.012 | 0.137 | |
| AA vs GG | −0.060 | −0.003 | |
| SHMT1 1420 C > T | |||
| CT vs CC | −0.002 | 0.026 | |
| TT vs CC | 0.259‡ | 0.096 | |
| TS 2R3R | |||
| 3R2R vs 3R3R | −0.088 | −0.058 | |
| 2R2R vs 3R3R | −0.034 | 0.012 | |
| RFC 80G > A | |||
| GA vs GG | 0.043 | −0.003 | |
| AA vs GG | 0.009 | 0.057 | |
The standardized regression coefficient of each independent variable is given as standardized β (Stand β) in multivariate analysis. Because independent variables may have different units, the strength of the regression coefficients (β) may not be comparable and therefore the coefficients are standardized to their means (Stand β) for comparison reasons. In univariate regression, the strength of the association between each independent variable and the dependent variable (outcome measure) is looked at without taking into account the other independent variables; in contrast, in multiple linear regression, the strength of each independent variable is adjusted by the other independent variables in the model. No significant interactions were observed in multiple regression analysis for MTHFR 677C>T*MTHFR 1298A>C, MS2756 A>G*MTRR 66A>G, MTHFR 677C>T*MTHFD1 1958G>A, and MTHFR 677C>T*MTHFD1 1958G>A.
P = 006.
P < .01.
P < .05.
P = 0.08.
P < .001.