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Fig. 1 Rotter index distributions across population groups.
Figure 1 depicts the LOC distributions across population groups the full sample, natives, immigrants and the second generation.
But the important point is that the effect of ignoring short-duration employment spells varies significantly across population groups.
The estimated APCs are scale-invariant and can therefore be compared across population subgroups with very different fatality rates.
It is important to consider heterogeneity of marker effects and allelic frequencies in across population genome-wide prediction studies.
This may result in systematic differences in the stated health across population subgroups, even if the underlying true health status is identical.
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In fact, our recent analysis of fetal gene effects in the same two study populations showed evidence of across-population differences [1].
As the laboratory setting does not closely mimic field conditions, this population was excluded from the across-population analyses of genotype frequencies.
These scenarios determine how well across-population predictions would perform.
Similarly to the single-population scenario, M e of the across-population scenarios were estimated based on the relationships across population.
This is also correct for across-population genomic prediction, as shown in the Appendix.
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