INVESTIGADORES
VAN DER MOLEN Silvina
congresos y reuniones científicas
Título:
Proportionality of genetic and phenotypic distances and the effect of morphological integration in the human skull
Autor/es:
GONZÁLEZ ROLANDO,; VAN DER MOLEN, SILVINA; GONZÁLEZ EMILI,; HERNÁNDEZ MIQUEL,
Lugar:
Zagreb
Reunión:
Congreso; 13th Congress of the European Anthropological Association.; 2002
Institución organizadora:
European Anthropological Association
Resumen:
Proportionality of phenotypic and genetic distance is of crucial importance to
adequately focus on population history and structure, and depends on proportionality of
genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely
without constancy of genetic covariation if the later 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. Factors like
morphological integration account for such stability. Morphological integration can be
studied by analyzing the relationships among morphological traits. We present here a
comparison of phenotypic correlation and covariance structure among worldwide
human populations. Correlation and covariance matrices between 47 cranial traits were
obtained for 28 populations, and compared with design matrices representing functional
and developmental constraints. Among-population differences in patterns of correlation
and covariation were tested for association with matrices of genetic distances (obtained
after an examination of 10 ALU-insertions) and with Mahalanobis distances (computed
after cranial traits). All matrix correlations were estimated by means of Mantel tests.
Results indicate that correlation and covariance structure in our species is stable and that
among-group correlation/covariance similarity is not related with genetic or phenotypic
distance. Conversely, genetic and morphological distance matrices were highly
correlated. Correlation and covariation patterns were largely associated with functional
and developmental factors, which probably account for the stability of covariance