Related references
Note: Only part of the references are listed.Comparison of genotype imputation strategies using a combined reference panel for chicken population
S. Ye et al.
ANIMAL (2019)
SumHer better estimates the SNP heritability of complex traits from summary statistics
Doug Speed et al.
NATURE GENETICS (2019)
Use of meta-analyses and joint analyses to select variants in whole genome sequences for genomic evaluation: An application in milk production of French dairy cattle breeds
M. Teissier et al.
JOURNAL OF DAIRY SCIENCE (2018)
Genomic prediction using imputed whole-genome sequence variants in Brown Swiss Cattle
Mirjam Frischknecht et al.
JOURNAL OF DAIRY SCIENCE (2018)
Imputation from SNP chip to sequence: a case study in a Chinese indigenous chicken population
Shaopan Ye et al.
JOURNAL OF ANIMAL SCIENCE AND BIOTECHNOLOGY (2018)
Genomic evaluation of feed efficiency component traits in Duroc pigs using 80K, 650K and whole-genome sequence variants
Chunyan Zhang et al.
GENETICS SELECTION EVOLUTION (2018)
Genomic prediction for numerically small breeds, using models with pre-selected and differentially weighted markers
Biaty Raymond et al.
GENETICS SELECTION EVOLUTION (2018)
Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel
Mario Mitt et al.
EUROPEAN JOURNAL OF HUMAN GENETICS (2017)
Whole genomic prediction of growth and carcass traits in a Chinese quality chicken population
Z. Zhang et al.
JOURNAL OF ANIMAL SCIENCE (2017)
Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture
Guiyan Ni et al.
GENETICS SELECTION EVOLUTION (2017)
Selecting sequence variants to improve genomic predictions for dairy cattle
Paul M. VanRaden et al.
GENETICS SELECTION EVOLUTION (2017)
Genotype Imputation with Millions of Reference Samples
Brian L. Browning et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2016)
Combination analysis of genome-wide association and transcriptome sequencing of residual feed intake in quality chickens
Zhenqiang Xu et al.
BMC GENOMICS (2016)
Genetic features of red and green junglefowls and relationship with Indonesian native chickens Sumatera and Kedu Hitam
Maria Ulfah et al.
BMC GENOMICS (2016)
Accuracy of genomic prediction using imputed whole-genome sequence data in white layers
M. Heidaritabar et al.
JOURNAL OF ANIMAL BREEDING AND GENETICS (2016)
Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study
Irene van den Berg et al.
G3-GENES GENOMES GENETICS (2016)
Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels
Oscar O. M. Iheshiulor et al.
GENETICS SELECTION EVOLUTION (2016)
Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein-Friesian cattle
Roel F. Veerkamp et al.
GENETICS SELECTION EVOLUTION (2016)
How imputation errors bias genomic predictions
E. C. G. Pimentel et al.
JOURNAL OF DAIRY SCIENCE (2015)
Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction
R. F. Brondum et al.
JOURNAL OF DAIRY SCIENCE (2015)
Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction
Nasir Moghaddar et al.
GENETICS SELECTION EVOLUTION (2015)
Genomic prediction using imputed whole-genome sequence data in Holstein Friesian cattle
Rianne van Binsbergen et al.
GENETICS SELECTION EVOLUTION (2015)
Sequence- vs. chip-assisted genomic selection: accurate biological information is advised
Miguel Perez-Enciso et al.
GENETICS SELECTION EVOLUTION (2015)
Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions
T. Druet et al.
HEREDITY (2014)
Improving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies
Zhe Zhang et al.
PLOS ONE (2014)
Development of a high density 600K SNP genotyping array for chicken
Andreas Kranis et al.
BMC GENOMICS (2013)
The Effect of Linkage Disequilibrium and Family Relationships on the Reliability of Genomic Prediction
Yvonne C. J. Wientjes et al.
GENETICS (2013)
Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor
Gustavo de los Campos et al.
PLOS GENETICS (2013)
GCTA: A Tool for Genome-wide Complex Trait Analysis
Jian Yang et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2011)
Different models of genetic variation and their effect on genomic evaluation
Samuel A. Clark et al.
GENETICS SELECTION EVOLUTION (2011)
Genomic evaluations with many more genotypes
Paul M. VanRaden et al.
GENETICS SELECTION EVOLUTION (2011)
Accurate Prediction of Genetic Values for Complex Traits by Whole-Genome Resequencing
Theo Meuwissen et al.
GENETICS (2010)
Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle
K. A. Weigel et al.
JOURNAL OF DAIRY SCIENCE (2010)
The impact of genetic relationship information on genomic breeding values in German Holstein cattle
David Habier et al.
GENETICS SELECTION EVOLUTION (2010)
Accuracy of genomic selection using different methods to define haplotypes
M. P. L. Calus et al.
GENETICS (2008)
Efficient Methods to Compute Genomic Predictions
P. M. VanRaden
JOURNAL OF DAIRY SCIENCE (2008)
PLINK: A tool set for whole-genome association and population-based linkage analyses
Shaun Purcell et al.
AMERICAN JOURNAL OF HUMAN GENETICS (2007)
Share Paper
