Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/3281
Title: | Likelihood calculations to evaluate experimental designs to estimate genetic variances | Contributor(s): | Meyer, Karin (author) | Publication Date: | 2008 | DOI: | 10.1038/hdy.2008.46 | Handle Link: | https://hdl.handle.net/1959.11/3281 | Abstract: | Mixed model analyses via restricted maximum likelihood, fitting the so-called animal model, have become standard methodology for the estimation of genetic variances. Models involving multiple genetic variance components, due to different modes of gene action, are readily fitted. It is shown that likelihood-based calculations may provide insight into the quality of the resulting parameter estimates, and are directly applicable to the validation of experimental designs. This is illustrated for the example of a design suggested recently to estimate X-linked genetic variances. In particular, large sample variances and sampling correlations are demonstrated to provide an indication of 'problem' scenarios. Using simulation, it is shown that the profile likelihood function provides more appropriate estimates of confidence intervals than large sample variances. Examination of the likelihood function and its derivatives are recommended as part of the design stage of quantitative genetic experiments. | Publication Type: | Journal Article | Source of Publication: | Heredity, 101(3), p. 212-221 | Publisher: | Nature Publishing Group | Place of Publication: | United Kingdom | ISSN: | 1365-2540 0018-067X |
Fields of Research (FoR) 2008: | 060499 Genetics not elsewhere classified | Socio-Economic Objective (SEO) 2008: | 830399 Livestock Raising not elsewhere classified | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Journal Article |
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