Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
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Prediction of gene expression with cis-SNPs using mixed models and regularization methodsUsing information of relatives in genomic prediction to apply effective stratified medicine.Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior.Heritability and GWAS Studies for Monocyte-Lymphocyte Ratio.Analysis of Quantitative Trait Loci.Mixed Model Association with Family-Biased Case-Control Ascertainment.Multiethnic polygenic risk scores improve risk prediction in diverse populations.Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship.2SNP heritability and effects of genetic variants for neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio.
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P2860
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
description
2015 nî lūn-bûn
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name
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
@ast
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
@en
type
label
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
@ast
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
@en
prefLabel
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
@ast
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.
@en
P2093
P2860
P1476
Two-Variance-Component Model Improves Genetic Prediction in Family Datasets
@en
P2093
Alkes L Price
Bonnie Berger
George Tucker
Iona M MacLeod
P2860
P304
P356
10.1016/J.AJHG.2015.10.002
P407
P577
2015-11-01T00:00:00Z