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The external validation dataset was well predicted by the final model based on the population prediction and VPC.
Further filtering was performed on the basis of quality of reads, frequency in the population, prediction of pathogenicity, and evolutionary conservation, leading to one disease-causing genetic variant (Table 2).
There was no significant bias (represented by 16.0% MPE, with 95% CI (–0.2%, 32.1%)) for the population prediction (P = 0.138).
A relatively wide range of PT values was obtained in the population prediction (Supplementary Figure S2a,b).
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The upper panel presents the population predictions vs the observed concentrations.
The plots of the population predictions versus observed concentrations in supplemental Fig. S1B show small trends, especially for the metabolites.
However, as Oman is currently exceeding its predicted population growth [ 47, 52], and it is anticipated that there will continue to be a large expatriate population, the population predictions used in the present study for high- or medium-population growth are considered realistic.
The population predictions (PRED) of Css,trough at week 9 were obtained for the following scenarios: (i) extreme subjects, the subjects created above; (ii) typical subject, the reference subject with continuous covariates fixed at median values and categorical covariates fixed at certain category; and (iii) actual subjects, the subjects from the model‐building dataset.
The within population prediction accuracies were subsequently averaged for populations in Π and Π ¯.
In the S×A population, prediction accuracies ranged between 0.51 and 0.84 with all 1483 SNPs.
Taking advantage of this data, AMGET will overlay the rich individual and population prediction time course on top of the discrete observations for each individual.
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CEO of Professional Science Editing for Scientists @ prosciediting.com