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In addition to the well-known Bayes A and B linear regression models originally proposed by Meuwissen et al. (2001) for incorporating marker effects into g i, there are several penalized parametric regression methods for estimating marker effects, such as ridge regression, the least absolute shrinkage and selection operator (LASSO), and the elastic net (Hastie et al. 2009).
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rufipogon populations, incorporating markers from previous GoldenGate 384-SNP sets and selective SNPs from whole genome re-sequencing data.
To test the hypothesis that a patent ductus arteriosus (PDA) severity score (PDAsc) incorporating markers of pulmonary overcirculation and left ventricular (LV) diastolic function can predict chronic lung disease or death before discharge (CLD/death).
We acknowledge that the Acute Physiology and Chronic Health Evaluation scoring systems overestimate the severity of illness in the obese by incorporating markers that differ in otherwise healthy obese patients, like creatinine and oxygenation.
The robustness of the panel should be further tested with unique and highly inbred populations and the utility of the panel could be expanded by incorporating markers for common diseases or phenotypes.
We applied a simple and a complex decay model based on assumptions used in previous studies; a third was a regression model incorporating markers of OC intake and loss.
Although analyses incorporating markers of advance HIV did not attenuate the effect of OLD on respiratory symptoms, the high background prevalence of smoking and respiratory symptoms in our population may be obscuring any effect of advanced HIV on respiratory illness.
This map has the advantage of incorporating markers used for different published maps (Weeden et al. 1998, Laucou et al. 1998; Choi et al. 2004, Loridon et al. 2005; Aubert et al. 2006; Jing et al. 2007; Prioul-Gervais et al. 2007).
One method for incorporating markers is to define g i as a parametric linear regression on marker covariates x i j with form g i = ∑ j = 1 p x i j β j, such that y i = ∑ j = 1 p x i j β j + ε i ( j = 1,2,…, p markers); here, β j is the partial regression of y i on the j th marker covariate (Meuwissen et al. 2001).
Furthermore, as in the current study, the technique can incorporate marker profiles of species of interest [53].
Genomic evaluation incorporates marker genotypes into a genetic evaluation system.
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