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Individuals that were related to each other in SOF and MrOS were identified based on whole genome SNP data and only a single individual from the related pair was included in the analysis (the subject with non-missing phenotype data or, if both members of the related pair had non-missing phenotypes, the sample with the lowest SNP missing rate was retained).
Total missing rate was the average across positions.
In the worst cases, the missing rate was less than 2%.
Across phases of perinatal care, the missing rate was highest for birth phase.
Within the framework of the MCS study, slightly lower overall missing rate was reported (5.0%) [ 39].
The missing rate was as high as 50% for two genes, CaSR and Tas1r3, and these were removed from further analyses.
Similar(41)
Although this architecture reduces the area overhead dramatically, we find that the fault missing rate is still high if single-sample checking (SSC) is used.
Since the properties of fault missing rate are similar for m = 2 n ± 1, the simulations for m = 2 n + 1 are not given here.
Since the fault missing rate is related to the upset position when m = 8, each bit of the input of multipliers and adders is upset in turn.
A total of 2,235,060 SNPs with <20% missing rates were used with above mentioned phenotyping data for genomic prediction analysis.
The average missing rates are 0.30, 0.20, and 0.10, respectively.
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