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Correlation analysis was tested using Nonparametric correlation (Spearman).

The association between each SNP and annual weight change (g/year) (random subcohort analysis) was tested using linear regression and assuming an additive effect of the minor allele.

The assumption of heterogeneity for each analysis was tested using the DerSimonian-Laird method.

All enrichment analysis was tested using the p-value threshold p < 0.0001 for the data inputs.

The enrichment analysis was tested using a hypergeometric test at a significance cutoff of ~0.1% false discovery rate (FDR).

The correlation between MCM-5 protein and histologic stage when poorly differentiated and unspecified tumours were excluded from analysis was tested using Kruskal Wallis ANOVA using the Bonferroni correction for multiple comparisons.

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The expression of 42 gene transcripts, identified by SAGE analysis, were tested using quatitative PCR.

Finally, the influence of including juvenile taxa in phylogenetic analysis is tested using the current analysis and material.

In a second step, all statistically significant variables in the univariate analysis were tested using multivariate logistic regression analysis.

Data presented with statistical analysis were tested using a Student's t-test or two-way ANOVA with Bonferroni post-tests for multiple comparison analysis.

Interactions between the variables found to be associated with "having been vaccinated" in the univariate analysis were tested using likelihood-ratio test.

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