2014
Evolutionary Systems Biology: Shifting Focus to the Context‐Dependency of Genetic Effects
Pavličev M, Wagner G. Evolutionary Systems Biology: Shifting Focus to the Context‐Dependency of Genetic Effects. 2014, 91-108. DOI: 10.1002/9781118398814.ch6.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsReinventing the Organism: Evolvability and Homology in Post-Dahlem Evolutionary Biology
Wagner G. Reinventing the Organism: Evolvability and Homology in Post-Dahlem Evolutionary Biology. Boston Studies In The Philosophy And History Of Science 2014, 307: 327-342. DOI: 10.1007/978-94-017-9412-1_15.Peer-Reviewed Original ResearchEvolutionary biologyDahlem ConferenceGenotype-phenotype mapStructure of organismsLimited pleiotropyNatural selectionEvolutionary causationPhenotype evolutionOrganism conceptRandom mutationsHomologyOrganismsEvolvabilityBiologyDevelopmental structuresMutationsDevelopmental organizationPleiotropySeedsFitnessSelectionAdaptation
2008
Pleiotropic scaling of gene effects and the ‘cost of complexity’
Wagner GP, Kenney-Hunt JP, Pavlicev M, Peck JR, Waxman D, Cheverud JM. Pleiotropic scaling of gene effects and the ‘cost of complexity’. Nature 2008, 452: 470-472. PMID: 18368117, DOI: 10.1038/nature06756.Peer-Reviewed Original ResearchConceptsQuantitative trait lociEffects of pleiotropyOrganismal complexityGenetic sequence dataHigher organismsEvolutionary biologyTrait lociMouse genomeSequence dataBiology questionsSkeletal traitsGene effectsMost mutationsCost of complexityGenetic mutationsTraitsMutationsMultiple effectsGenomeSkeletal characteristicsPleiotropyLociPleiotropicOrganismsBiology
1984
On the eigenvalue distribution of genetic and phenotypic dispersion matrices: Evidence for a nonrandom organization of quantitative character variation
Wagner G. On the eigenvalue distribution of genetic and phenotypic dispersion matrices: Evidence for a nonrandom organization of quantitative character variation. Journal Of Mathematical Biology 1984, 21: 77-95. DOI: 10.1007/bf00275224.Peer-Reviewed Original ResearchQuantitative genetic variationQuantitative genetic modelGenetic variationInsect dataCharacter variationNonrandom organizationPleiotropy modelUnrelated charactersGenetic modelsPleiotropyRandom matricesEigenvalue distributionDispersion matrixRandom organizationGaussian random matricesCorrelation matrix REmpirical correlation matrixInsectsEigenvalue densityIntermediate eigenvaluesMatrix GMatrix RDensity functionExpressionApproximate expression