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Due to the unexpected lack of homozygotes for the -61C allele of the Hp promoter SNP (see results section below), we generated two control plasmids for the A-61C SNP, one containing the A allele and the other the C allele.

Since eal-1 is a weak allele and other eal alleles were embryonic-lethal (see below), we generated trans-heterozygotes (eal-1/eal-3; TH).

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As we describe below, we generate "high" and "low" estimates, yielding an impact range.

There is some variation in the exact mature miRNA excised from a particular miRNA precursor [ 12] (discussed below), so to evaluate expression we generated overall loci of the genomic matches, merging overlapping sequence matches into the same potential new miRNA.

In the inversion with neighborhood algorithm, we generated profiles below the misfit value calculated from the uncertainty bound.

Using the available data from Wardwatcher we generated qSOFA data as below.

Thus it may not be surprising that the expression we generated may have been below the threshold needed for the overexpression phenotypes noted by Schlosser et al. (2008).

From the IVT gene models (described below) we also generated ideal simulated data.

For all group analyses reported below, we first generated a series contrast images for each individual participant (first-level models) and then entered these into random-effects models and/or regression models (using SPM's built in general linear model) in order to allow for meaningful population-level inference.

In order to account for the expected 10% match failures because of the intention-to-treat principle (see below), we randomly generated 1000 datasets, each with the proposed sample size of 620 and the expected matching effect of 30% after 3 years against a background of 30% immune reactions.

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