Table 1.
The eight different ways in which TLR2 genotype was modelled are shown.
| Name | Type of variable | # of genotypes | Identity of genotypes | # of alleles | Identity of alleles |
|---|---|---|---|---|---|
| Geno1 | Categorical | 6 | C1C1, C2C2, C3C3, C1C2, C1C3, C2C3 | NA | NA |
| Geno2 | Categorical | 3 | C2C2, C2Cx, CxCx; (Cx = C1 = C3) | NA | NA |
| Geno3 | Categorical | 3 | C1C1, C1Cy, CyCy; (Cy = C2 = C3) | NA | NA |
| Geno4 | Categorical | 3 | C3C3, C2Cz, CzCz; (Cz = C1 = C2) | NA | NA |
| Geno5 | 1 Covariate | NA | NA | 2 | # of C2 alleles; (C1 = C3) |
| Geno6 | 1 Covariate | NA | NA | 2 | # of C1 alleles; (C2 = C3) |
| Geno7 | 1 Covariate | NA | NA | 2 | # of C3 alleles; (C1 = C2) |
| Geno8 | 3 Covariates | NA | NA | 3 | # of C1, C2, and C3 alleles |
TLR2 genotype was either modelled as a categorical factor where each TLR2 genotype was a different category or as a covariate that counted the number of TLR2 alleles. We reduced the number of genotypes or alleles by setting pairs of alleles or genotypes as equivalent. For example, for Geno2, we assumed that the C1 and C3 alleles are equivalent so that there are only 3 distinct genotypes: C2C2, C2Cx, CxCx, where Cx = C1 = C3. Combining similar genotypes (or alleles) increases the sample size for the remaining genotype categories and thereby increases the power of the statistical test.