Animal

Cattle

Optimized Genetic Testing for Polledness in Multiple Breeds of Cattle
Imtiaz A. S. Randhawa, Brian M. Burns, Michael R. McGowan, Laercio R. Porto-Neto, Ben J. Hayes, Ryan Ferretti, Karen M. Schutt, Russell E. Lyons

G3: Genes, Genomes, Genetics February 2020 10: 539-544; https://doi.org/10.1534/g3.119.400866
Genomic Prediction Including SNP-Specific Variance Predictors
Elena Flavia Mouresan, Maria Selle, Lars Rönnegård

G3: Genes, Genomes, Genetics October 2019 9: 3333-3343; https://doi.org/10.1534/g3.119.400381
Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs
Sonia E. Eynard, Pascal Croiseau, Denis Laloë, Sebastien Fritz, Mario P. L. Calus, Gwendal Restoux

G3: Genes, Genomes, Genetics January 2018 8: 113-121; https://doi.org/10.1534/g3.117.1117
The Accuracy and Bias of Single-Step Genomic Prediction for Populations Under Selection
Wan-Ling Hsu, Dorian J. Garrick, Rohan L. Fernando

G3: Genes, Genomes, Genetics August 2017 7: 2685-2694; https://doi.org/10.1534/g3.117.043596
Genome-Enabled Prediction of Breeding Values for Feedlot Average Daily Weight Gain in Nelore Cattle
Adriana L. Somavilla, Luciana C. A. Regitano, Guilherme J. M. Rosa, Fabiana B. Mokry, Mauricio A. Mudadu, Polyana C. Tizioto, Priscila S. N. Oliveira, Marcela M. Souza, Luiz L. Coutinho, Danísio P. Munari

G3: Genes, Genomes, Genetics June 2017 7: 1855-1859; https://doi.org/10.1534/g3.117.041442
An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments

Yvonne C. J. Wientjes, Piter Bijma, Roel F. Veerkamp, Mario P. L. Calus

Genetics February 2016 202: 799-823; https://doi.org/10.1534/genetics.115.183269
Is Structural Equation Modeling Advantageous for the Genetic Improvement of Multiple Traits?

Bruno D. Valente, Guilherme J. M. Rosa, Daniel Gianola, Xiao-Lin Wu, Kent Weigel

Genetics July 2013 194: 561-572; https://doi.org/10.1534/genetics.113.151209
Reliability of Genomic Predictions Across Multiple Populations

A. P. W. de Roos, B. J. Hayes, M. E. Goddard

Genetics December 2009 183: 1545-1553; https://doi.org/10.1534/genetics.109.104935
The Accuracy of Genomic Selection in Norwegian Red Cattle Assessed by Cross-Validation

Tu Luan, John A. Woolliams, Sigbjørn Lien, Matthew Kent, Morten Svendsen, Theo H. E. Meuwissen

Genetics November 2009 183: 1119-1126; https://doi.org/10.1534/genetics.109.107391
Linkage Disequilibrium and Persistence of Phase in Holstein–Friesian, Jersey and Angus Cattle

A. P. W. de Roos, B. J. Hayes, R. J. Spelman, M. E. Goddard

Genetics July 2008 179: 1503-1512; https://doi.org/10.1534/genetics.107.084301

Chicken

Nonparametric Methods for Incorporating Genomic Information Into Genetic Evaluations: An Application to Mortality in Broilers

Oscar González-Recio, Daniel Gianola, Nanye Long, Kent A. Weigel, Guilherme J. M. Rosa, Santiago Avendaño

Genetics April 2008 178: 2305-2313; https://doi.org/10.1534/genetics.107.084293

Drosophila

Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior

Palle Duun Rohde, Bryn Gaertner, Kirsty Ward, Peter Sørensen, Trudy F. C. Mackay

Genetics August 2017 206: 1969-1984; https://doi.org/10.1534/genetics.117.200642
Nonparametric Methods for Incorporating Genomic Information Into Genetic Evaluations: An Application to Mortality in Broilers

Oscar González-Recio, Daniel Gianola, Nanye Long, Kent A. Weigel, Guilherme J. M. Rosa, Santiago Avendaño

Genetics April 2008 178: 2305-2313; https://doi.org/10.1534/genetics.107.084293

Fish

Application of Low Coverage Genotyping by Sequencing in Selectively Bred Arctic Charr (Salvelinus alpinus)
Christos Palaiokostas, Shannon M. Clarke, Henrik Jeuthe, Rudiger Brauning, Timothy P. Bilton, Ken G. Dodds, John C. McEwan, Dirk-Jan De Koning

G3: Genes, Genomes, Genetics June 2020 10: 2069-2078; https://doi.org/10.1534/g3.120.401295
Genome-Wide Association Study and Cost-Efficient Genomic Predictions for Growth and Fillet Yield in Nile Tilapia (Oreochromis niloticus)
Grazyella M. Yoshida, Jean P. Lhorente, Katharina Correa, Jose Soto, Diego Salas, José M. Yáñez

G3: Genes, Genomes, Genetics August 2019 9: 2597-2607; https://doi.org/10.1534/g3.119.400116
Genomic Predictions and Genome-Wide Association Study of Resistance Against Piscirickettsia salmonis in Coho Salmon (Oncorhynchus kisutch) Using ddRAD Sequencing
Agustín Barría, Kris A. Christensen, Grazyella M. Yoshida, Katharina Correa, Ana Jedlicki, Jean P. Lhorente, William S. Davidson, José M. Yáñez

G3: Genes, Genomes, Genetics April 2018 8: 1183-1194; https://doi.org/10.1534/g3.118.200053
Genome-Wide Association and Genomic Selection for Resistance to Amoebic Gill Disease in Atlantic Salmon
Diego Robledo, Oswald Matika, Alastair Hamilton, Ross D. Houston

G3: Genes, Genomes, Genetics April 2018 8: 1195-1203; https://doi.org/10.1534/g3.118.200075
Genomic Prediction Accuracy for Resistance Against Piscirickettsia salmonis in Farmed Rainbow Trout
Grazyella M. Yoshida, Rama Bangera, Roberto Carvalheiro, Katharina Correa, René Figueroa, Jean P. Lhorente, José M. Yáñez

G3: Genes, Genomes, Genetics February 2018 8: 719-726; https://doi.org/10.1534/g3.117.300499
Genotype Imputation To Improve the Cost-Efficiency of Genomic Selection in Farmed Atlantic Salmon
Hsin-Yuan Tsai, Oswald Matika, Stefan McKinnon Edwards, Roberto Antolín–Sánchez, Alastair Hamilton, Derrick R. Guy, Alan E. Tinch, Karim Gharbi, Michael J. Stear, John B. Taggart, James E. Bron, John M. Hickey, Ross D. Houston

G3: Genes, Genomes, Genetics April 2017 7: 1377-1383; https://doi.org/10.1534/g3.117.040717
Genomic Prediction of Resistance to Pasteurellosis in Gilthead Sea Bream (Sparus aurata) Using 2b-RAD Sequencing
Christos Palaiokostas, Serena Ferraresso, Rafaella Franch, Ross D. Houston, Luca Bargelloni

G3: Genes, Genomes, Genetics November 2016 6: 3693-3700; https://doi.org/10.1534/g3.116.035220

Mouse

Predicting Phenotypic Diversity from Molecular and Genetic Data

Tom Harel, Naama Peshes-Yaloz, Eran Bacharach, Irit Gat-Viks

Genetics September 2019 213: 297-311; https://doi.org/10.1534/genetics.119.302463
On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope

Zulma G. Vitezica, Luis Varona, Andres Legarra

Genetics December 2013 195: 1223-1230; https://doi.org/10.1534/genetics.113.155176
Performance of Genomic Selection in Mice

Andrés Legarra, Christèle Robert-Granié, Eduardo Manfredi, Jean-Michel Elsen

Genetics September 2008 180: 611-618; https://doi.org/10.1534/genetics.108.088575

Pig

Host Genome Influence on Gut Microbial Composition and Microbial Prediction of Complex Traits in Pigs

Amelia Camarinha-Silva, Maria Maushammer, Robin Wellmann, Marius Vital, Siegfried Preuss, Jörn Bennewitz

Genetics July 2017 206: 1637-1644; https://doi.org/10.1534/genetics.117.200782
Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator

Miguel Pérez-Enciso, Natalia Forneris, Gustavo de los Campos, Andrés Legarra

Genetics February 2017 205: 939-953; https://doi.org/10.1534/genetics.116.194878
Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data
Marcos S. Lopes, John W. M. Bastiaansen, Luc Janss, Egbert F. Knol, Henk Bovenhuis

G3: Genes, Genomes, Genetics December 2015 5: 2629-2637; https://doi.org/10.1534/g3.115.019513
Accuracy of Predicted Genomic Breeding Values in Purebred and Crossbred Pigs
André M. Hidalgo, John W. M. Bastiaansen, Marcos S. Lopes, Barbara Harlizius, Martien A. M. Groenen, Dirk-Jan de Koning

G3: Genes, Genomes, Genetics August 2015 5: 1575-1583; https://doi.org/10.1534/g3.115.018119
Accuracy of Estimation of Genomic Breeding Values in Pigs Using Low-Density Genotypes and Imputation
Yvonne M. Badke, Ronald O. Bates, Catherine W. Ernst, Justin Fix, Juan P. Steibel

G3: Genes, Genomes, Genetics April 2014 4: 623-631; https://doi.org/10.1534/g3.114.010504
A Common Dataset for Genomic Analysis of Livestock Populations
Matthew A. Cleveland, John M. Hickey, Selma Forni

G3: Genes, Genomes, Genetics April 2012 2: 429-435; https://doi.org/10.1534/g3.111.001453

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