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After eliminating markers with more than 50% missing genotypes, less than 5% minor allele frequency (MAF), out of Hardy-Weinberg equilibrium in controls (p<0.0005), closely linked to others (<0.1 cM intermarker distance), 76 chromosome 12 AIMs and 88 genome-wide AIMs were analyzed (Tables S1 and S2).
Missing genotypes (less than 3%) were replaced with the average value (on a 0 2 scale) for each SNP within each breed.
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The following filters were used: MAF of 0.05, Hardy-weinberg p = 0, exclude markers with >0.5 missing genotypes and less than 0.5 nonzero genotypes.
Missing genotypes represented less than 0.2% of total observations and were replaced with average covariate values for that locus.
Imputation methods typically use a reference panel of densely genotyped haplotypes to predict the missing genotypes in a less densely genotyped study sample.
SNPs were removed from analysis if they had the percentage of non-missing genotypes less than 0.95, displayed Hardy-Weinberg disequilibrium (P < 0.05), or had a minor allele frequency (MAF) < 0.05.
A little more than one-third of these SNPs (35%, 73) were removed by a screening procedure that rejected SNPs with ≥10% missing genotypes (60) or allele frequencies less than 5% (12).
Overall, there was less than 1% missing genotypes.
Only SNPs with less than 5% missing genotypes and minor allele frequency greater than 3% were used, resulting in 40,588 SNPs.
We included only SNPs mapped to one of the 18 autosomes on Sus scrofa build 10.2 and that had less than 5% missing genotypes.
The data set contained less than 1% missing genotypes, which were imputed using the rfImpute function.
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