Mapping genes for complex traits in domestic animals and their use in breeding programmes

By Michael E. Goddard, Ben J. Hayes. Nature reviews genetics, 2009

1,044 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/50adcbf922a276963fa9b097a085c443cc505707

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Citations in the corpus

It is time to bridge the gap between exploring and exploiting: prospects for utilizing intraspecific genetic variation to optimize arthropods for augmentative pest control – a review (2017, background): “Genomic selection is an even more advanced way of using genomic data, in which markers covering the whole genome (typically >50 000 markers) help to select the best individuals to breed from, thereby increasing the accuracy of selection (Meuwissen et al., 2001; Goddard & Hayes, 2009).”
Genomic Relationship Matrix for Correcting Pedigree Errors in Breeding Populations: Impact on Genetic Parameters and Genomic Selection Accuracy (2014, methodology): “The utility of GS in plant and animal breeding depends on the accuracy of the GS models developed to predict BV (Goddard and Hayes, 2009; Habier et al., 2010; Jannink et al., 2010; Grattapaglia and Resende, 2011; Heffner et al., 2010).”
Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design (2009, background): “…we focus on identifying QTL, but it is worth noting that genomic selection, which aims to estimate breeding values without identifying QTL, uses similar data and populations and is showing great promise for breeding programs (Meuwissen et al., 2001; Goddard and Hayes, 2009; Heffner et al., 2009).”
Common SNPs explain a large proportion of heritability for human height (2010, neutral): “Genome-wide approaches like those used in our study can advance understanding of the nature of complex-trait variation and can be exploited for selection programs in agricultur”
Genome-Assisted Prediction of Quantitative Traits Using the R Package sommer (2016, background): “With next generation sequencing technologies (NGS) becoming cheaper and consequently more feasible for all crops, huge genomic data sets have become available to help during selection and decision making in plant breeding programs [1,2].”
Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor (2013, neutral): “Here LD spans over shorter regions [33] and within family disequilibrium cannot be exploited.”
Using Genetic Distance to Infer the Accuracy of Genomic Prediction (2015, methodology): “Predicting unobserved phenotypes using high-density SNP or sequence data is the foundation of many applications in medical diagnostics [1–3], plant [4, 5] and animal [6] breeding.”
Development and Application of High-density SNP Arrays in Genomic Studies of Domestic Animals (2010, neutral): “One feasible approach for discovering SNPs that are widely applicable for selection is to carry out LD mapping in multiple breeds, so the SNPs in high LD with QTL across populations can confirm the associations (Goddard and Hayes, 2009).”
Accuracy of Genomewide Selection for Different Traits with Constant Population Size, Heritability, and Number of Markers (2013, background): “1 as a function of the breeding history of the population and of the size of the genome (Goddard and Hayes, 2009; Hayes and Goddard, 2010; Meuwissen, 2012).”
Genomic selection in forest tree breeding (2011, methodology): “…the accuracy of this prediction is given by r qbq, the correlation of true and predicted genomic breeding value a general concept proposed originally by Meuwissen et al. (2001) and defined by Goddard and Hayes (2009) as an estimate of an individual´ s genetic merit including genomic information.”
The development and application of genomic selection as a new breeding paradigm (2012, background): “In the chicken, for example, González-Recio et al. (2009) referenced a 4-fold increase in GEBV accuracy over the parent average for feed conversion effi ciency.”
Genomics and the future of conservation genetics (2010, background): “The ability to use genomics to identify specific loci related to local adaptation or inbreeding depression and the success of marker-assisted selection in livestock and crop”