Table 3. Logistic regression analysis of the association between SNPs and schizophrenia risk n (%).
SNP No. | Minor | Dominant model | Recessive model | Additive model | ||||||
---|---|---|---|---|---|---|---|---|---|---|
allele | OR | 95% CI | Pa | OR | 95% CI | Pa | OR | 95% CI | Pa | |
rs10994336 | T | 0.91 | 0.68–1.23 | 0.555 | 2.00 | 1.01–3.94 | 0.047* | 1.03 | 0.80–1.33 | 0.799 |
rs10994338 | A | 0.90 | 0.67–1.21 | 0.487 | 1.99 | 1.01–3.93 | 0.047* | 1.02 | 0.80–1.31 | 0.868 |
rs4948418 | T | 0.92 | 0.68–1.24 | 0.577 | 2.00 | 1.01–3.94 | 0.047* | 1.04 | 0.81–1.33 | 0.779 |
rs958852 | T | 0.69 | 0.49–0.97 | 0.031* | 0.87 | 0.28–2.66 | 0.802 | 0.73 | 0.54–0.99 | 0.044* |
p ≤ 0.05 indicates statistical significance
p values were calculated by unconditional logistic regression adjusted for age and gender