Exact(7)
Imputation test sets and reference sets were subsets of genotype data selected from a large multi-breed sheep resource flock.
These results show that the size of the reference set is more important when genomic relationships between imputation test set and reference set animals are lower.
Imputation test sets (target animals) consisted of 1000 purebred Merinos, 1000 mixed crossbred Merinos, or 500 crossbred Merinos (BLxM or PDxM or WSxM).
In addition to imputing from a random reference set, we also tried to impute from a reference set that was chosen to be informative for all animals in the imputation test set.
For this, genomic best linear unbiased prediction (GBLUP) was performed based on 1000 purebred Merino as the genomic prediction reference population (which was also used as imputation test set (see Fig. 1)).
Genotype imputation refers to statistical inference of un-typed marker genotypes in a set of low-density genotyped animals (imputation test set) based on a group of animals that are genotyped with higher density marker arrays (imputation reference set) [ 13].
Similar(53)
The k-NN imputation tested with different values of k ranging from 1 to 10, have shown that, k = 10 was the optimal choice with relatively smaller RMSECV%% value.
Finally, the post-imputation tests were re-ranked using the same three criteria.
Cross-validation accuracy was >81 % for all of the imputed tests across all imputation methods.
Haplotypes 6 10 can be distinguished from haplotypes 1 5 by rs1217414.[9] Four SNPs, none of which have been genotyped in CEPH CEU by HapMap (www.hapmap.org; release 23a), are required to distinguish haplotype 6 from haplotypes 7 10, meaning it would not be possible to use imputation to test these SNPs for association in the WTCCC data.
The general analytical procedure consists of genotyping, quality control, imputation, association test and meta-analysis.
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