Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration.

@article{GonzlezJos2004PatternsOP,
  title={Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration.},
  author={Rolando Gonz{\'a}lez-Jos{\'e} and Silvina Van der Molen and Emili Gonz{\'a}lez-P{\'e}rez and Miquel Hern{\'a}ndez},
  journal={American journal of physical anthropology},
  year={2004},
  volume={123 1},
  pages={
          69-77
        }
}
Proportionality of phenotypic and genetic distance is of crucial importance to adequately focus on population history and structure, and it depends on the proportionality of genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely without constancy of genetic covariation if the latter is a substantial component of the former. If phenotypic patterns are found to be relatively stable, the most probable explanation is that genetic covariance matrices are also stable… 

Figures and Tables from this paper

Heritability of human cranial dimensions: comparing the evolvability of different cranial regions
TLDR
Previous findings in the mouse cranium are supported and empirical evidence that covariation between the maximum widths of the main developmental regions of the skull is the dominant factor of integration in the human skull is provided.
Genetic, geographic, and environmental correlates of human temporal bone variation.
TLDR
Temporal bone morphology appears to partially follow an isolation by distance model of evolution among human populations, although levels of correlation show that a substantial component of variation is unexplained by factors considered here.
Epigenetic interactions and the structure of phenotypic variation in the cranium
TLDR
The results highlight regular and predictable patterns of covariation among regions of the skull that presumably reflect the epigenetic influences of the genetic perturbations in the sample, which may underlie larger scale evolutionary patterns in mammalian craniofacial form.
Effect of chromosomal reorganizations on morphological covariation of the mouse mandible: insights from a Robertsonian system of Mus musculus domesticus
TLDR
Robertsonian translocations do not alter the organization of the mouse mandible into two main modules, but do affect the magnitude of integration between them, mainly due to changes in the allometric relationship.
The Evolution of Modularity in the Mammalian Skull I: Morphological Integration Patterns and Magnitudes
TLDR
The data provide evidence that mammalian skull evolution can be viewed as a history of inter-module parcellation, with the modules themselves being more clearly marked in those lineages with lower overall magnitude of integration.
Evolutionary Relationships Among Prehistoric Human Populations: An Evaluation of Relatedness Patterns Based on Facial Morphometric Data Using Molecular Data
TLDR
Test the reliability of relatedness patterns constructed on the basis of craniometric data on a regional scale and results indicate that facial morphometric data allow the inference of the structure and history of the prehistoric populations for the studied region.
Detecting interregionally diversifying natural selection on modern human cranial form by using matched molecular and morphometric data.
  • C. Roseman
  • Biology
    Proceedings of the National Academy of Sciences of the United States of America
  • 2004
TLDR
Although morphology for most of the world appears to vary among populations in accordance with neutral expectations in the context of population structure and history, morphology of the Siberian population appears to have undergone adaptation by natural selection.
Testing the equivalence of modern human cranial covariance structure: Implications for bioarchaeological applications.
TLDR
The results indicate that patterns of covariance in human craniometric samples are broadly similar but not identical, which has important implications for choosing extant covariance matrices to use as proxy V/CV parameters in evolutionary analyses of past populations.
Craniometric Similarities Within and between Human Populations in Comparison with Neutral Genetic Data
TLDR
Results show that cranial morphology asymptotically approaches a mean &ohgr; of 0.3 and supports the initial statement—that is, that individuals from the same geographic region do not form clear and discrete clusters—further questioning the idea of the existence of discrete biological clusters in the human species.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 51 REFERENCES
A COMPARISON OF PHENOTYPIC VARIATION AND COVARIATION PATTERNS AND THE ROLE OF PHYLOGENY, ECOLOGY, AND ONTOGENY DURING CRANIAL EVOLUTION OF NEW WORLD MONKEYS
TLDR
While the phenotypic means were evolving during the last 30 millions years of New World monkey evolution, Phenotypic covariance structures of Neotropical primate skulls have remained relatively consistent, suggesting that functional/developmental integration could be one major factor keeping covariance structure relatively stable during evolutionary diversification of South American monkeys.
A COMPARISON OF PHENOTYPIC VARIATION AND COVARIATION PATTERNS AND THE ROLE OF PHYLOGENY, ECOLOGY, AND ONTOGENY DURING CRANIAL EVOLUTION OF NEW WORLD MONKEYS
TLDR
P phenotypic co‐variance and correlation structure is compared among Platyrrhine Neotropical primates to help evaluate the evolution of relationships among traits in response to new functional and developmental relationships.
Multivariate Quantitative Genetics of Anthropometric Traits from the Boas Data
TLDR
This study demonstrates that if it is true that G = h2P, where h2 is some constant of proportionality, then (1) the biological (phenotypic) Mahalanobis distance will be proportional to genetic distance, (2) phenotypic and genetic allometry coefficients will be equal, and (3) evolutionary models will become simplified.
QUANTITATIVE GENETIC ANALYSIS OF MULTIVARIATE EVOLUTION, APPLIED TO BRAIN:BODY SIZE ALLOMETRY
  • R. Lande
  • Biology
    Evolution; international journal of organic evolution
  • 1979
TLDR
Methods of multivariate analysis, functional analysis and optimality criteria popular among evolutionists, do not account for dynamical constraints imposed by the pattern of genetic variation within populations.
A COMPARISON OF GENETIC AND PHENOTYPIC CORRELATIONS
  • J. Cheverud
  • Biology, Psychology
    Evolution; international journal of organic evolution
  • 1988
TLDR
The analysis of the relationship of genetic‐ and phenotypic‐correlation magnitudes and patterns in 41 pairs of matrices drawn from the literature indicates that squared genetic correlations were on average much higher than squared Phenotypic correlations and that genetic and phenotypesic correlations had only broadly similar patterns.
Craniometric variation among modern human populations.
  • J. Relethford
  • Biology
    American journal of physical anthropology
  • 1994
TLDR
The results show that genetic and craniometric data are in agreement, qualitatively and quantitatively, and that there is limited variation in modern humans among major geographic regions.
The Genetic Covariance between Characters Maintained by Pleiotropic Mutations.
TLDR
Approximate expressions for the dynamics of the genetic covariances due to pleiotropic mutations are obtained and patterns of genetic covariance between characters and their evolution are discussed with reference to data on polygenic mutation, chromosomal organization and morphological integration.
Detection of differential gene flow from patterns of quantitative variation.
TLDR
The Harpending-Ward model is extended to quantitative traits using an equal and additive effects model of inheritance and new methods for estimation of the genetic relationship matrix (R) from quantitative traits are developed.
Analysis of prehistoric biological variation under a model of isolation by geographic and temporal distance.
TLDR
The results indicate that, once the effects of temporal trend are removed, biological and spatial distance are positively correlated and biological and temporal distance negatively correlated within this sample of prehistoric crania from west-central Illinois.
Quantitative genetics and developmental constraints on evolution by selection.
...
1
2
3
4
5
...