Predicting unobserved phenotypes for complex traits from whole-genome SNP data
about
Genetic architecture of complex traits and accuracy of genomic prediction: coat colour, milk-fat percentage, and type in Holstein cattle as contrasting model traitsFinding the missing heritability of complex diseasesHanwoo cattle: origin, domestication, breeding strategies and genomic selectionSimultaneous estimation of multiple quantitative trait loci and growth curve parameters through hierarchical Bayesian modelingIdentification of QTL for UV-protective eye area pigmentation in cattle by progeny phenotyping and genome-wide association analysisGenome-wide association analysis and genomic prediction of Mycobacterium avium subspecies paratuberculosis infection in US Jersey cattleDisease-associated mutations that alter the RNA structural ensembleRNA Sequencing and AnalysisGuided evolution of in silico microbial populations in complex environments accelerates evolutionary rates through a step-wise adaptationSystems mapping: how to improve the genetic mapping of complex traits through design principles of biological systems.Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation.Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data.Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic DataPredicting chemical bioavailability using microarray gene expression data and regression modeling: A tale of three explosive compounds.Integrating milk metabolite profile information for the prediction of traditional milk traits based on SNP information for Holstein cows.From disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes.Efficient Bayesian approach for multilocus association mapping including gene-gene interactionsA machine learning pipeline for quantitative phenotype prediction from genotype data.Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell linesDiscovery of genome-wide DNA polymorphisms in a landrace cultivar of Japonica rice by whole-genome sequencing.Determination of sample size for a multi-class classifier based on single-nucleotide polymorphisms: a volume under the surface approachEducational attainment: a genome wide association study in 9538 AustraliansSignificance test and genome selection in bayesian shrinkage analysisImprovement of prediction ability for genomic selection of dairy cattle by including dominance effectsIncluding non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers.The impact of genetic architecture on genome-wide evaluation methodsA bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data.SNPs and other features as they predispose to complex disease: genome-wide predictive analysis of a quantitative phenotype for hypertension.Best linear unbiased prediction of genomic breeding values using a trait-specific marker-derived relationship matrixImproving LASSO performance for Grey Leaf Spot disease resistance prediction based on genotypic data by considering all possible two-way SNP interactions.Efficiency of genomic selection using Bayesian multi-marker models for traits selected to reflect a wide range of heritabilities and frequencies of detected quantitative traits loci in mice.Bayesian analysis of genetic interactions in case-control studies, with application to adiponectin genes and colorectal cancer risk.A comparison of statistical methods for genomic selection in a mice population.Polygenic modeling with bayesian sparse linear mixed models.Bioinformatics challenges for personalized medicineJoint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder.Accuracy of multi-trait genomic selection using different methods.Locally epistatic genomic relationship matrices for genomic association and prediction.Accuracy of whole-genome prediction using a genetic architecture-enhanced variance-covariance matrixPredicting the phenotypic values of physiological traits using SNP genotype and gene expression data in mice
P2860
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P2860
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@ast
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@en
type
label
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@ast
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@en
prefLabel
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@ast
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@en
P2860
P50
P1433
P1476
Predicting unobserved phenotypes for complex traits from whole-genome SNP data
@en
P2093
Julius H J van der Werf
P2860
P304
P356
10.1371/JOURNAL.PGEN.1000231
P577
2008-10-24T00:00:00Z