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The potential genotyping errors and missing genotypes were inferred by using information from flanking marker data with the initial marker order.
Their missing genotypes were imputed using either Beagle or LDMIP from T densely genotyped candidates chosen from the whole pedigree.
SNPs with ≥2 missing genotypes were excluded.
For these analyses, missing genotypes were replaced with the mean genotype score for that SNP.
Subjects harboring missing genotypes were omitted in the analysis of individual SNPs and haplotypes.
First, a total of 60,545 SNPs with >5% missing genotypes were removed.
The missing genotypes were taken as those filled in by fastPHASE.
Samples were screened for the proportion of missing genotypes, and animals with greater than 10% missing genotypes were removed.
We compared these BFs to those calculated with a single data set in which the missing genotypes were replaced by their modal value determined from the 100 imputations.
Loci with >10% missing genotypes were discarded.
For the logistic regression, samples with missing genotypes were excluded.
More suggestions(15)
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