Sentence examples for missing genotypes represented from inspiring English sources

Missing genotypes represented less than 0.2% of total observations and were replaced with average covariate values for that locus.

In addition to this expected pattern, we also found such variants represented as typical SNPs (and not indels), but with missing genotypes present at one locus instead of a deletion state.

The accuracy of SNP calling and missing genotype imputation, represented by the percentage of consistent SNPs in total number of common loci, reached 98.41 % in average and ranged from 97.01 to 99.53 % for each accession (Additional file 2: Table S2).

In using this strategy, we not only impute the missing genotypes but also replace some of the observed homozygous genotypes with heterozygotes, as it is possible that observed homozygous genotypes represent false homozygotes resulting from allelic dropout.

After this a genotype imputation program can be used to fill-in missing genotypes.

Furthermore, the portion of the genome represented by multiple sequencing reads is also high, making the problem of imputation of missing genotypes small relative to human studies [ 45].

The performance of the genotyping assay for each method was assessed using three criteria: missing genotypes (assay fail rates), incomplete genotypes (loci departing from HWE) and inaccurate genotypes (inconsistent genotypes across replicate samples).

This has resulted in high rates of missing genotypes (assay fail rates of 21%), incomplete genotypes (64% of loci departing from HWE) and inaccurate genotypes (1% of genotypes inconsistent across replicates).

SNPs with ≥2 missing genotypes were excluded.

The overall rate of missing genotypes was 9%.

Based on estimated parameters, missing genotypes are inferred.