
Abstract We consider the problem of interpreting negative maximum likelihood estimates of heritability that sometimes arise from popular statistical models of additive genetic variation. These may result from random noise acting on estimates of genuinely positive heritability, but we argue that they may also arise from misspecification of the standard additive mechanism that is supposed to justify the statistical procedure. Researchers should be open to the possibility that negative heritability estimates could reflect a real physical feature of the biological process from which the data were sampled.
Linear mixed model, Multifactorial Inheritance, Models, Statistical, 330, Models, Genetic, Genetic Variation, Biological Sciences, Statistical, GREML, Heritability, Quantitative Trait, Model misspecification, Phenotype, Quantitative Trait, Heritable, Genetic, Models, Biochemistry and cell biology, Genetics, Epistasis, Humans, Biochemistry and Cell Biology, Generic health relevance, Heritable, Developmental Biology
Linear mixed model, Multifactorial Inheritance, Models, Statistical, 330, Models, Genetic, Genetic Variation, Biological Sciences, Statistical, GREML, Heritability, Quantitative Trait, Model misspecification, Phenotype, Quantitative Trait, Heritable, Genetic, Models, Biochemistry and cell biology, Genetics, Epistasis, Humans, Biochemistry and Cell Biology, Generic health relevance, Heritable, Developmental Biology
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