Table 6. Multivariate stepward logistic regressions with genes as independent variables, predicting diagnosis (N=80).
Gene | Chr | SNP | χ2 | P | χ2 | P |
---|---|---|---|---|---|---|
Multivariate logistic regression: | ||||||
ANK3 | 10 | rs10761482 | 4.05 | 0.044 | 4.63 | 0.031 |
CACNB3 | 12 | rs11168751 | 1.89 | 0.17 | — | |
MIR137HG | 1 | rs1625579 | 1.34 | 0.25 | — | |
TENM4 | 11 | rs12576775 | 2.04 | 0.15 | — | |
Overall statistics: | ||||||
R2 | 0.094 | 0.042 | ||||
n | 80 | 80 | ||||
P | 0.034 | 0.031 | ||||
Classification power: | ||||||
χ2 | 14.47 | 3.63 | ||||
P | <0.0001 | 0.056 | ||||
Specificity | 74% | 58% | ||||
Sensitivity | 71% | 67% |
Abbreviations: Chr, chromosome; SNP, single-nucleotide polymorphism.
Adding sex as an independent variable produced a nonsignificant weight (P=0.35; P=0.29). Numbers in bold denote significant probabilities (P<0.05).