Search Results - "Hayes, Ben"

Overview of Statistical Methods for Genome-Wide Association Studies (GWAS) by Hayes, Ben

“…This chapter provides an overview of statistical methods for genome-wide association studies (GWAS) in animals, plants, and humans. The simplest form of GWAS,…”
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Harnessing genomic information for livestock improvement by Georges, Michel, Charlier, Carole, Hayes, Ben

“…The world demand for animal-based food products is anticipated to increase by 70% by 2050. Meeting this demand in a way that has a minimal impact on the…”
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Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model by Moser, Gerhard, Lee, Sang Hong, Hayes, Ben J, Goddard, Michael E, Wray, Naomi R, Visscher, Peter M

“…Gene discovery, estimation of heritability captured by SNP arrays, inference on genetic architecture and prediction analyses of complex traits are usually…”
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1000 Bull Genomes Project to Map Simple and Complex Genetic Traits in Cattle: Applications and Outcomes by Hayes, Ben J, Daetwyler, Hans D

“…The 1000 Bull Genomes Project is a collection of whole-genome sequences from 2,703 individuals capturing a significant proportion of the world's cattle…”
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A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle by Bolormaa, Sunduimijid, Pryce, Jennie E, Reverter, Antonio, Zhang, Yuandan, Barendse, William, Kemper, Kathryn, Tier, Bruce, Savin, Keith, Hayes, Ben J, Goddard, Michael E

“…Polymorphisms that affect complex traits or quantitative trait loci (QTL) often affect multiple traits. We describe two novel methods (1) for finding single…”
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Metric mean dimension for algebraic actions of Sofic groups by HAYES, BEN

“…We prove that if \Gamma is a sofic group and A is a finitely generated \mathbb{Z}(\Gamma )-module, then the metric mean dimension of \Gamma \curvearrowright…”
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Mapping genes for complex traits in domestic animals and their use in breeding programmes by Goddard, Michael E, Hayes, Ben J

“…The availability of genome-wide panels of SNPs for many domestic animals has allowed the mapping and identification of many economically important traits in…”
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The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation by Hayes, Ben J, Lewin, Harris A, Goddard, Michael E

“…As the global population and global wealth both continue to increase, so will the demand for livestock products, especially those that are highly nutritious…”
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Breeding crops to feed 10 billion by Hickey, Lee T., N. Hafeez, Amber, Robinson, Hannah, Jackson, Scott A., Leal-Bertioli, Soraya C. M., Tester, Mark, Gao, Caixia, Godwin, Ian D., Hayes, Ben J., Wulff, Brande B. H.

“…Crop improvements can help us to meet the challenge of feeding a population of 10 billion, but can we breed better varieties fast enough? Technologies such as…”
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A chickpea genetic variation map based on the sequencing of 3,366 genomes by Varshney, Rajeev K., Roorkiwal, Manish, Sun, Shuai, Bajaj, Prasad, Chitikineni, Annapurna, Thudi, Mahendar, Singh, Narendra P., Du, Xiao, Upadhyaya, Hari D., Khan, Aamir W., Wang, Yue, Garg, Vanika, Fan, Guangyi, Cowling, Wallace A., Crossa, José, Gentzbittel, Laurent, Voss-Fels, Kai Peter, Valluri, Vinod Kumar, Sinha, Pallavi, Singh, Vikas K., Ben, Cécile, Rathore, Abhishek, Punna, Ramu, Singh, Muneendra K., Tar’an, Bunyamin, Bharadwaj, Chellapilla, Yasin, Mohammad, Pithia, Motisagar S., Singh, Servejeet, Soren, Khela Ram, Kudapa, Himabindu, Jarquín, Diego, Cubry, Philippe, Hickey, Lee T., Dixit, Girish Prasad, Thuillet, Anne-Céline, Hamwieh, Aladdin, Kumar, Shiv, Deokar, Amit A., Chaturvedi, Sushil K., Francis, Aleena, Howard, Réka, Chattopadhyay, Debasis, Edwards, David, Lyons, Eric, Vigouroux, Yves, Hayes, Ben J., von Wettberg, Eric, Datta, Swapan K., Yang, Huanming, Nguyen, Henry T., Wang, Jian, Siddique, Kadambot H. M., Mohapatra, Trilochan, Bennetzen, Jeffrey L., Xu, Xun, Liu, Xin

“…Zero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources 1 . So far, few…”
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Pitfalls of predicting complex traits from SNPs by Wray, Naomi R., Yang, Jian, Hayes, Ben J., Price, Alkes L., Goddard, Michael E., Visscher, Peter M.

“…The data from genome-wide association studies can be applied to genotype data to predict the phenotype of a complex trait. Here the authors discuss the…”
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Accuracy of genomic breeding values in multi-breed dairy cattle populations by Hayes, Ben J, Bowman, Phillip J, Chamberlain, Amanda C, Verbyla, Klara, Goddard, Mike E

“…Two key findings from genomic selection experiments are 1) the reference population used must be very large to subsequently predict accurate genomic estimated…”
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Genetic architecture of complex traits and accuracy of genomic prediction: coat colour, milk-fat percentage, and type in Holstein cattle as contrasting model traits by Hayes, Ben J, Pryce, Jennie, Chamberlain, Amanda J, Bowman, Phil J, Goddard, Mike E

“…Prediction of genetic merit using dense SNP genotypes can be used for estimation of breeding values for selection of livestock, crops, and forage species; for…”
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Multibreed genome wide association can improve precision of mapping causative variants underlying milk production in dairy cattle by Raven, Lesley-Ann, Cocks, Benjamin G, Hayes, Ben J

“…Genome wide association studies (GWAS) in most cattle breeds result in large genomic intervals of significant associations making it difficult to identify…”
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A dense SNP-based linkage map for Atlantic salmon (Salmo salar) reveals extended chromosome homeologies and striking differences in sex-specific recombination patterns by Lien, Sigbjørn, Gidskehaug, Lars, Moen, Thomas, Hayes, Ben J, Berg, Paul R, Davidson, William S, Omholt, Stig W, Kent, Matthew P

“…The Atlantic salmon genome is in the process of returning to a diploid state after undergoing a whole genome duplication (WGD) event between 25 and100 million…”
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A catalogue of novel bovine long noncoding RNA across 18 tissues by Koufariotis, Lambros T, Chen, Yi-Ping Phoebe, Chamberlain, Amanda, Vander Jagt, Christy, Hayes, Ben J

“…Long non-coding RNA (lncRNA) have been implicated in diverse biological roles including gene regulation and genomic imprinting. Identifying lncRNA in bovine…”
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Genomic prediction using low-coverage portable Nanopore sequencing by Lamb, Harrison J, Hayes, Ben J, Randhawa, Imtiaz A S, Nguyen, Loan T, Ross, Elizabeth M

“…Most traits in livestock, crops and humans are polygenic, that is, a large number of loci contribute to genetic variation. Effects at these loci lie along a…”
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Genetic variation in PLAG1 is associated with early fertility in Australian Brahman cattle by Engle, Bailey N, Hayes, Ben J

“…Abstract Variation in the genome region coding for PLAG1 has well-documented associations with skeletal growth and age at puberty in cattle. However, the…”
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Metagenomic predictions: from microbiome to complex health and environmental phenotypes in humans and cattle by Ross, Elizabeth M, Moate, Peter J, Marett, Leah C, Cocks, Ben G, Hayes, Ben J

“…Mammals have a large cohort of endo- and ecto- symbiotic microorganisms (the microbiome) that potentially influence host phenotypes. There have been numerous…”
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Exome sequencing highlights the role of wild-relative introgression in shaping the adaptive landscape of the wheat genome by He, Fei, Pasam, Raj, Shi, Fan, Kant, Surya, Keeble-Gagnere, Gabriel, Kay, Pippa, Forrest, Kerrie, Fritz, Allan, Hucl, Pierre, Wiebe, Krystalee, Knox, Ron, Cuthbert, Richard, Pozniak, Curtis, Akhunova, Alina, Morrell, Peter L., Davies, John P., Webb, Steve R., Spangenberg, German, Hayes, Ben, Daetwyler, Hans, Tibbits, Josquin, Hayden, Matthew, Akhunov, Eduard

“…Introgression is a potential source of beneficial genetic diversity. The contribution of introgression to adaptive evolution and improvement of wheat as it was…”
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