Table 2.
KASPa | Cases | Controls | Recessivec | Dominantc | Co-dominantc | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
rs4042056 | AA | AG | GG | MAF (%)d | AA | AG | GG | MAF (%)d | OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p |
Germany | 1 | 1 | 84 | 0.58* | 0 | 1 | 180 | 0.3 | 6.3 (0.3–160) | 0.22 | 3.2 (0.5–20) | 0.2 | 2.4 (0.7–8.8) | 0.16 |
1.2% | 1.2% | 97.8% | 0% | 0.6% | 99.4% | |||||||||
ELISAb | Cases | Controls | Dominantc | ELISA/KASP combined dominantf | ||||||||||
G3m15 | Positive | Negative | MAF (%)e | Positive | Negative | MAF (%)e | OR (95% CI) | p | OR (95% CI) | p | ||||
Germany | 0 | 87 | 0.0 | 1 | 77 | 0.6 | 0.3 (0.01–7.4) | 0.42 | 1.7 (0.2–12.5) | 0.61 | ||||
0% | 100% | 1.3% | 98.7% |
aResults from the KASP assay, respectively (for comparison of values and footnote comments see Table 1).
bResults from the ELISA allotype determination (for comparison of values and footnote comments see Table 1).
cLogistic regression (recessive, dominant, and co-dominant models) stratified by ethnic cohort. The 95% confidence interval is given for the odds ratio (OR); the p value (p) is given for the likelihood ratio test (LR test) on the genotype. In case of 0 values in corresponding data, Lidstone additive smoothing was used to allow calculation of ORs and ensure convergence of the fitting routine.
dMAF, minor allele frequency, i.e., frequency of the A allele. An asterisk (*) indicates that the respective genotype distribution is not in Hardy–Weinberg equilibrium.
eMAF, minor allele frequency, i.e., frequency of the allele encoding the G3m15 allotype, inferred assuming Hardy–Weinberg equilibrium.
fLogistic regression of combined ELISA and KASP results. The genotyping method was used for stratification in a random effects model (compare table footnote h of Table 1).