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2016

Journal Article

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle

Raven, Lesley-Ann, Cocks, Benjamin G., Kemper, Kathryn E., Chamberlain, Amanda J., Vander Jagt, Christy J., Goddard, Michael E. and Hayes, Ben J. (2016). Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle. Mammalian Genome, 27 (1-2), 81-97. doi: 10.1007/s00335-015-9613-8

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle

2016

Journal Article

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

MacLeod, I. M., Bowman, P. J., Vander Jagt, C. J., Haile-Mariam, M., Kemper, K. E., Chamberlain, A. J., Schrooten, C., Hayes, B. J. and Goddard, M. E. (2016). Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits. BMC Genomics, 17 (1) 144. doi: 10.1186/s12864-016-2443-6

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

2016

Journal Article

Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions

Moate, Peter J., Deighton, Matthew H., Williams, S. Richard O., Pryce, Jennie E., Hayes, Ben J., Jacobs, Joe L., Eckard, Richard J., Hannah, Murray C. and Wales, William J. (2016). Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions. Animal Production Science, 56 (7), 1017-1034. doi: 10.1071/AN15222

Reducing the carbon footprint of Australian milk production by mitigation of enteric methane emissions

2016

Journal Article

Genomic selection: a paradigm shift in animal breeding

Meuwissen, Theo, Hayes, Ben and Goddard, Mike (2016). Genomic selection: a paradigm shift in animal breeding. Animal Frontiers, 6 (1), 6-14. doi: 10.2527/af.2016-0002

Genomic selection: a paradigm shift in animal breeding

2016

Journal Article

Differentially expressed genes in endometrium and corpus luteum of holstein cows selected for high and low fertility are enriched for sequence variants associated with fertility

Moore, Stephen G., Pryce, Jennie E., Hayes, Ben J., Chamberlain, Amanda J., Kemper, Kathryn E., Berry, Donagh P., McCabe, Matt, Cormican, Paul, Lonergan, Pat, Fair, Trudee and Butler, Stephen T. (2016). Differentially expressed genes in endometrium and corpus luteum of holstein cows selected for high and low fertility are enriched for sequence variants associated with fertility. Biology of Reproduction, 94 (1) 19. doi: 10.1095/biolreprod.115.132951

Differentially expressed genes in endometrium and corpus luteum of holstein cows selected for high and low fertility are enriched for sequence variants associated with fertility

2016

Journal Article

Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence data

Wang, Tingting, Chen, Yi-Ping Phoebe and Hayes, Ben (2016). Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence data. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 11 (034) 034, 1-18. doi: 10.1079/PAVSNNR201611034

Accuracy and computational efficiency of genomic selection with high-density SNP and whole-genome sequence data

2015

Journal Article

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

Moghaddar, Nasir, Gore, Klint P., Daetwyler, Hans D., Hayes, Ben J. and van der Werf, Julius H. J. (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. Genetics Selection Evolution, 47 (1) 175. doi: 10.1186/s12711-015-0175-8

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

2015

Journal Article

Rare variants in transcript and potential regulatory regions explain a small percentage of the missing heritability of complex traits in cattle

Gonzalez-Recio, Oscar, Daetwyler, Hans D., MacLeod, Iona M., Pryce, Jennie E., Bowman, Phil J., Hayes, Ben J. and Goddard, Michael E. (2015). Rare variants in transcript and potential regulatory regions explain a small percentage of the missing heritability of complex traits in cattle. PLoS One, 10 (12) e0143945, e0143945. doi: 10.1371/journal.pone.0143945

Rare variants in transcript and potential regulatory regions explain a small percentage of the missing heritability of complex traits in cattle

2015

Journal Article

Extensive variation between tissues in allele specific expression in an outbred mammal

Chamberlain, Amanda J., Vander Jagt, Christy J., Hayes, Benjamin J., Khansefid, Majid, Marett, Leah C., Millen, Catriona A., Nguyen, Thuy T. T. and Goddard, Michael E. (2015). Extensive variation between tissues in allele specific expression in an outbred mammal. BMC Genomics, 16 (1) 993. doi: 10.1186/s12864-015-2174-0

Extensive variation between tissues in allele specific expression in an outbred mammal

2015

Journal Article

Two-variance-component model improves genetic prediction in family datasets

Tucker, George, Loh, Po-Ru, MacLeod, Iona M., Hayes, Ben J., Goddard, Michael E., Berger, Bonnie and Price, Alkes L. (2015). Two-variance-component model improves genetic prediction in family datasets. American Journal of Human Genetics, 97 (5), 677-690. doi: 10.1016/j.ajhg.2015.10.002

Two-variance-component model improves genetic prediction in family datasets

2015

Journal Article

A catalogue of novel bovine long noncoding RNA across 18 tissues

Koufariotis, Lambros T., Chen, Yi-Ping Phoebe, Chamberlain, Amanda, Jagt, Christy Vander and Hayes, Ben J. (2015). A catalogue of novel bovine long noncoding RNA across 18 tissues. PLoS One, 10 (10) e0141225, e0141225. doi: 10.1371/journal.pone.0141225

A catalogue of novel bovine long noncoding RNA across 18 tissues

2015

Journal Article

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows

Pryce, J. E., Gonzalez-Recio, O., Nieuwhof, G., Wales, W. J., Coffey, M. P., Hayes, B. J. and Goddard, M. E. (2015). Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows. Journal of Dairy Science, 98 (10) 73864, 7340-7350. doi: 10.3168/jds.2015-9621

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows

2015

Journal Article

Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy

Bolormaa, S., Gore, K., van der Werf, J. H. J., Hayes, B. J. and Daetwyler, H. D. (2015). Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy. Animal Genetics, 46 (5), 544-556. doi: 10.1111/age.12340

Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy

2015

Journal Article

Selection on optimal haploid value increases genetic gain and preserves more genetic diversity relative to genomic selection

Daetwyler, Hans D., Hayden, Matthew J., Spangenberg, German C. and Hayes, Ben J. (2015). Selection on optimal haploid value increases genetic gain and preserves more genetic diversity relative to genomic selection. Genetics, 200 (4), 1341-1348. doi: 10.1534/genetics.115.178038

Selection on optimal haploid value increases genetic gain and preserves more genetic diversity relative to genomic selection

2015

Journal Article

Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows

Aliloo, Hassan, Pryce, Jennie E., Gonzalez-Recio, Oscar, Cocks, Benjamin G. and Hayes, Ben J. (2015). Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows. BMC Genetics, 16 (1) 89. doi: 10.1186/s12863-015-0241-9

Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows

2015

Journal Article

Animal board invited review: Genetic possibilities to reduce enteric methane emissions from ruminants

Pickering, N. K., Oddy, V. H., Basarab, J., Cammack, K., Hayes, B., Hegarty, R. S., Lassen, J., McEwan, J. C., Miller, S., Pinares-Patino, C. S. and de Haas, Y. (2015). Animal board invited review: Genetic possibilities to reduce enteric methane emissions from ruminants. Animal, 9 (9), 1431-1440. doi: 10.1017/S1751731115000968

Animal board invited review: Genetic possibilities to reduce enteric methane emissions from ruminants

2015

Journal Article

Impact of QTL properties on the accuracy of multi-breed genomic prediction

Wientjes, Yvonne C. J., Calus, Mario P. L., Goddard, Michael E. and Hayes, Ben J. (2015). Impact of QTL properties on the accuracy of multi-breed genomic prediction. Genetics Selection Evolution, 47 (42) 42, 1-16. doi: 10.1186/s12711-015-0124-6

Impact of QTL properties on the accuracy of multi-breed genomic prediction

2015

Journal Article

Including overseas performance information in genomic evaluations of Australian dairy cattle

Haile-Mariam, M., Pryce, J. E., Schrooten, C. and Hayes, B. J. (2015). Including overseas performance information in genomic evaluations of Australian dairy cattle. Journal of Dairy Science, 98 (5), 3443-3459. doi: 10.3168/jds.2014-8785

Including overseas performance information in genomic evaluations of Australian dairy cattle

2015

Journal Article

A computationally efficient algorithm for genomic prediction using a Bayesian model

Wang, Tingting, Chen, Yi-Ping Phoebe, Goddard, Michael E., Meuwissen, Theo H. E., Kemper, Kathryn E. and Hayes, Ben J. (2015). A computationally efficient algorithm for genomic prediction using a Bayesian model. Genetics Selection Evolution, 47 (1) 82. doi: 10.1186/s12711-014-0082-4

A computationally efficient algorithm for genomic prediction using a Bayesian model

2015

Journal Article

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions

Kemper, Kathryn E., Reich, Coralie M., Bowman, Philip J., vander Jagt, Christy J., Chamberlain, Amanda J., Mason, Brett A., Hayes, Benjamin J. and Goddard, Michael E. (2015). Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions. Genetics Selection Evolution, 47 (1) 29. doi: 10.1186/s12711-014-0074-4

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions