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A high proportion of missing genotypes per individual DNA sample may suggest relatively poor DNA quality.
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After quality control and removal of individuals with high proportion of missing genotypes (≥ 5%), data set II consisted of 40,595 common SNPs typed on 2976 animals in 5 breeds (Table 5).
Typically, GBS data contain high proportions of missing genotypes, which poses a real challenge.
Method D showed the highest proportion of missing genotypes, and tended to give the lowest DNA yields of the four methods trialled in stage 2.
A high proportion of missing data significantly decreases the sample size available for statistical analysis, and consequently decreases statistical power.
The genotyping of natural populations from Martinique was successful for 324 of the SNPs (87.1%), with 48 SNPs discarded because of low quality profiles and a high proportion of missing data.
Initially, there was a high proportion of missing and inadequate answers.
However, these technologies also result in a high proportion of missing information (Beissinger et al. 2013).
In addition, given the study design, there was a high proportion of missing data.
Trees with a high proportion of missing data were removed, based on the duration and the phase (exponential growth phase or asymptotic phase) at which missing data occurred.
However, some variables had a high proportion of missing values because of the lack of standardised maternity charts before 1973.
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