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Furthermore, this conception of human nature "tends … to impute a high degree of completeness and self-sufficiency to the single human being, with the implication that separateness … is the fundamental, metaphysical human condition".
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These will include use of the SHeS-SMR/NRS to build an imputation model for alcohol consumption, which would then be extrapolated to impute consumption for the entire population; this would be carried out with caution since we would be imputing a high fraction of the data.
Based on the literature, we imputed a relatively high utility value of 0.86 for this health state, which was assumed for both arms.
The objectives of this study were to perform a genome-wide association study of previously analyzed 50K genotypes now imputed to a high-density single nucleotide polymorphism panel (777K), aiming to validate previously reported associations and potentially identify additional single nucleotide polymorphisms associated with antibody response to MAP infection.
The majority of the imputed SNPs had a high imputation quality score (MACH-R> 0.6).
All of the imputed SNPs had a high imputation quality score.
This conclusion was based on both imputed data with a high confidence score for Val103Ile (posterior probability >0.99 using IMPUTE) and on directly genotyped data for both polymorphisms on a subsample of the study group (Val103Ile, n = 5,516 and Ile251Leu: n = 5,039) [1].
MI produces the most valid imputed values with a high Kappa statistic (0.89), although both single regression and individual mean imputation also produced favorable results.
These animals were used as reference to impute the high density genotypes for the remaining 2204 Holstein and 447 Jersey bulls which were genotyped with the 50k chip.
Given that this method likely underestimates the weight of inheritance (as it imputes too high a share of savings to labour earnings; see Piketty and Zucman 2015), our computations suggest that at least half of Swiss private wealth has been acquired through inheritance.
In that scenario, our algorithm can condition on the strains that are already sequenced or strains imputed with high imputation accuracy, allowing researchers to identify the subset of low-confidence strains that can best be used to impute the full data set.
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