Table 3. Associations between dichotomous pigmentation traits for stage 1.
Pigmentation trait | p (padj) | p (padj)a | OR (95% CI) | OR (95% CI)a |
---|---|---|---|---|
Eye colour (blue) | ||||
Hair colour (blond) | <1.0 × 10−5 (3.0 × 10−5) | 0.0047 (0.014) | 3.6 (2.1–6.2) | 2.7 (1.3–5.5) |
Hair colour (red tint) | ||||
Skin type (fair, I–II) | <1.0 × 10−5 (3.0 × 10−5) | 3.0 × 10−4 (9.0 × 10−4) | 4.1 (2.4–7.2) | 3.1 (1.7–5.6) |
Hair colour (blond)b | ||||
Eye colour (blue) | 1.0 × 10−5 (3.0 × 10−5) | <1.0 × 10−5 (3.0 × 10−5)c | 3.6 (2.1–6.3) | 4.4 (2.5–7.8)c |
Skin type (fair, I–II) | ||||
Hair colour (red) | <1.0 × 10−5 (3.0 × 10−5) | <1.0 × 10−5 (3.0 × 10−5)d | 5.7 (3.1–10.2) | 5.7 (3.1–10.2)d |
Hair colour (blond) | 2.7 × 10−4 (8.1 × 10−4) | 2.7 × 10−4 (8.1 × 10−4)d | 2.9 (1.6–5.2) | 2.9 (1.6–5.2)d |
Abbreviations: CI, confidence interval; OR, odds ratio; SNP, single-nucleotide polymorphism.
padj: Bonferroni-adjusted P-value (three tests). All associations were evaluated in a multiple logistic regression analysis treating the remaining three traits as influential variables, and by backward selection.
P-values and ORs are from a multiple logistic regression analysis including the predictive SNPs from Table 2 as influential variables.
In the analysis of the light-dark component of hair colour, two individuals with pure red hair colour were removed.
Multiple logistic regression analysis including the predictive SNPs of Table 2 eventually disregarded rs12913832 (HERC2) after backward selection.
Multiple logistic regression analysis eventually disregarded all predictive SNPs from Table 2 after backward selection.