RESPONSE TO SELECTION IN PARTIALLY SELF-FERTILIZING POPULATIONS. II. SELECTION ON MULTIPLE TRAITS
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Updated: Mar 1, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
1Department of Biology, University of Oregon, Eugene, Oregon, 97403.
Abstract:
The structured linear model (SLM) is generalized to treat selection on multiple, correlated characters. Four different causes of phenotypic correlations are distinguished by the SLM: environmental covariance, identity disequilibrium, pleiotropy, and linkage disequilibrium. Each is characterized by distinct variables because they have different implications for character evolution. Correlations due to identity disequilibrium and linkage disequilibrium depend on both the mating system and the selection regime. As a consequence, they will evolve rapidly under selection. Correlations due to pleiotropy or environmental factors will evolve more slowly and are characterized by parameters that can be estimated from comparisons among relatives. These parameters include several novel "inbreeding covariance components" that emerge from the interaction of inbreeding and genetic dominance. Although data are limited, current estimates suggest that the expression of these components may substantially alter the pattern of multitrait evolution in self-fertilizing populations.
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