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To determine how these networks were different between genotypes, we compared the top 10 networks enriched after ischaemia in each genotype.
To test if SFPs significantly affected gene expression estimates and, therefore, the detection of gene expression differences between genotypes, we compared the list of differentially expressed genes between Dickson and Bonanza at time point "out of steep" before and after removing the probes that contained SFPs.
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Differences between genotypes were compared using Students t-tests.
Differences in the distribution of inter-IPSC intervals between genotypes were compared using the Kolmogorov-Smirnov test, with significance set at P<0.05.
Mean expression values between genotypes were compared using a t-test (P≤0.05).
Differences in categorical variables (sex, ethnic group, smoking, and supplement use) between genotypes were compared by using chi-square tests.
The averages between genotypes were compared in relation to gall number, egg masses and number of J2 and eggs (total population).
Differences between genotypes were compared statistically using Student's t-tests with a P-value of ≤ 0.05 considered as statistically significant.
The median ages between genotypes were compared using the Kruskal-Wallis H test and did not reach statistical significance (P < 0.05) in the case of GSDMB.
Mean values between genotypes were compared using a linear model implemented in R, which performs a single stratum analysis of variance considering sex and batch as fixed effects.
To detect sample tracking errors, we compared genotypes between all samples.
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