Literature DB >> 23756902

Validation of genome-wide association studies (GWAS) results.

John M Henshall1.   

Abstract

Validation of the results of genome-wide association studies or genomic selection studies is an essential component of the experimental program. Validation allows users to quantify the benefit of applying gene tests or genomic prediction, relative to the costs of implementing the program. Further, if implemented, an appropriate weight in a selection index can only be derived if estimates of the accuracy of genomic predictions are available. In this chapter the reasons for validation are explored, and a range of commonly encountered scenarios described. General principles are stated, and options for performing validation discussed. Designs for validation are heavily dependent on the availability of phenotyped animals, and also on the pedigree structures that characterize the breeding program. Consequently, there is no single plan that is always applicable, and a custom plan often must be developed.

Mesh:

Year:  2013        PMID: 23756902     DOI: 10.1007/978-1-62703-447-0_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  A Case of Need: Linking Traits to Genebank Accessions.

Authors:  Noelle L Anglin; Ahmed Amri; Zakaria Kehel; Dave Ellis
Journal:  Biopreserv Biobank       Date:  2018-10       Impact factor: 2.300

2.  Genomic prediction offers the most effective marker assisted breeding approach for ability to prevent arsenic accumulation in rice grains.

Authors:  Julien Frouin; Axel Labeyrie; Arnaud Boisnard; Gian Attilio Sacchi; Nourollah Ahmadi
Journal:  PLoS One       Date:  2019-06-13       Impact factor: 3.240

  2 in total

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