Distribution and location of genetic effects for dairy traits
John B. Cole,Paul M. VanRaden,Jeffrey R. O'Connell,C.P. Van Tassell,Tad S. Sonstegard,Robert D. Schnabel,Jeremy F. Taylor,G.R. Wiggans +7 more
TLDR
A high-density scan using 38,416 single nucleotide polymorphism markers for 5,285 bulls confirmed 2 previously known major genes on Bos taurus autosomes (BTA) 6 and 14 but revealed few other large effects as discussed by the authors.About:
This article is published in Journal of Dairy Science.The article was published on 2009-06-01 and is currently open access. It has received 224 citations till now. The article focuses on the topics: Quantitative trait locus & Allele.read more
Citations
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Posted ContentDOI
Disentangling group specific QTL allele effects from genetic background epistasis using admixed individuals in GWAS: an application to maize flowering
Simon Rio,Tristan Mary-Huard,Moreau Laurence,Cyril Bauland,Palaffre Carinne,Madur Delphine,Valérie Combes,Charcosset Alain +7 more
TL;DR: A new genome-wide association (GWAS) approach is presented to identify QTLs exhibiting group-specific allele effects at quantitative trait loci, which aims to identify these genomic regions and to unravel the previous factors.
Journal ArticleDOI
The relation between the genetic architecture of quantitative traits and long-term genetic response
Rostam Abdollahi-Arpanahi,Abbas Pakdel,Ardeshir Nejati-Javaremi,Mohammad Moradi Shahrbabak,Farhad Ghafouri-Kesbi +4 more
TL;DR: The results showed that under L- and U-shapped allelic frequency distributions, the additive genetic variance is persistent after 30 generations of selection and should be considered in studies concerning long-term response to selection.
Journal ArticleDOI
Genome-wide association study identifies loci associated with milk leukocyte phenotypes following experimental challenge with Streptococcus uberis.
Lydia Siebert,Margaret Staton,Susan I. Headrick,M. J. Lewis,Barbara E. Gillespie,Charles Young,Raul A. Almeida,Stephen P. Oliver,G.M. Pighetti +8 more
TL;DR: This approach utilizes SCC collected following a S. uberis experimental challenge to generate three novel phenotypes and identifies 16 significant single-nucleotide polymorphisms (SNPs) across the phenotypes.
Investigation of genetic correlation among traits using massive SNP genotype in German Holstein population
TL;DR: The aims of this study were to demonstrate the genomic architecture of quantitative traits using Illumina BovineSNP50 Beadchip as well as the identification of chromosomes or SNPs affecting multiple traits in German Holstein population.
Dissertation
Modèles de prédiction pour l'évaluation génomique des bovins laitiers français : application aux races Holstein et Montbéliarde
TL;DR: Le challenge dans l’evaluation genomique est de disposer de the meilleure methode de prediction afin d’obtenir des valeurs genetiques precises pour une selection efficace des animaux candidats.
References
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Book
Introduction to quantitative genetics
TL;DR: The genetic constitution of a population: Hardy-Weinberg equilibrium and changes in gene frequency: migration mutation, changes of variance, and heritability are studied.
Journal ArticleDOI
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
TL;DR: It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval.
Journal ArticleDOI
Efficient Methods to Compute Genomic Predictions
TL;DR: Efficient methods for processing genomic data were developed to increase reliability of estimated breeding values and to estimate thousands of marker effects simultaneously, and a blend of first- and second-order Jacobi iteration using 2 separate relaxation factors converged well for allele frequencies and effects.
Journal ArticleDOI
Invited review: reliability of genomic predictions for North American Holstein bulls.
Paul M. VanRaden,C.P. Van Tassell,G.R. Wiggans,Tad S. Sonstegard,Robert D. Schnabel,Jeremy F. Taylor,Flavio S Schenkel +6 more
TL;DR: Genotypes for 38,416 markers and August 2003 genetic evaluations for 3,576 Holstein bulls born before 1999 were used to predict January 2008 daughter deviations and genomic prediction improves reliability by tracing the inheritance of genes even with small effects.