Bias in genomic predictions for populations under selection
نویسندگان
چکیده
منابع مشابه
The Accuracy and Bias of Single-Step Genomic Prediction for Populations Under Selection
In single-step analyses, missing genotypes are explicitly or implicitly imputed, and this requires centering the observed genotypes using the means of the unselected founders. If genotypes are only available for selected individuals, centering on the unselected founder mean is not straightforward. Here, computer simulation is used to study an alternative analysis that does not require centering...
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Indirect genetic methods are frequently used to estimate the effective population size (N(e)) or effective number of breeders (N(b)) in natural populations. Although assumptions behind these methods are often violated, there have been few attempts to evaluate how accurate these estimates really are in practice. Here we investigate the influence of natural selection following a population admixt...
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In livestock, genomic selection (GS) has primarily been investigated by simulation of purebred populations. Traits of interest are, however, often measured in crossbred or mixed populations with uncertain breed composition. If such data are used as the training data for GS without accounting for breed composition, estimates of marker effects may be biased due to population stratification and ad...
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ژورنال
عنوان ژورنال: Genetics Research
سال: 2011
ISSN: 0016-6723,1469-5073
DOI: 10.1017/s001667231100022x