Simultaneous genetic analysis of means and covariance structure: Pearson-Lawley selection rules
The object of this paper is to indicate that the Pearson-Lawley selection rules form a plausible general theory for the simultaneous genetic analysis of means and covariance structure. Models are presented based on phenotypic selection and latent selection. Previously presented quantitative genetic models to decompose means and covariance structure simultaneously are reconsidered as instances of latent selection. The selection rules are very useful in the context of behavior genetic modeling because they lead to testable models and a conceptual framework for explaining variation between and wi... Mehr ...
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| Dokumenttyp: | Artikel |
| Erscheinungsdatum: | 1994 |
| Reihe/Periodikum: | Dolan , C V , Molenaar , P C M & Boomsma , D I 1994 , ' Simultaneous genetic analysis of means and covariance structure: Pearson-Lawley selection rules ' , Behavior Genetics , vol. 24 , no. 1 , pp. 17-24 . https://doi.org/10.1007/BF01067925 |
| Schlagwörter: | /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29210773 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://research.vu.nl/en/publications/11ebe788-f2c9-4138-8809-8ef51a00a566 |
The object of this paper is to indicate that the Pearson-Lawley selection rules form a plausible general theory for the simultaneous genetic analysis of means and covariance structure. Models are presented based on phenotypic selection and latent selection. Previously presented quantitative genetic models to decompose means and covariance structure simultaneously are reconsidered as instances of latent selection. The selection rules are very useful in the context of behavior genetic modeling because they lead to testable models and a conceptual framework for explaining variation between and within groups by the same genetic and environmental factors. © 1994 Plenum Publishing Corporation.