Comparing G: multivariate analysis of genetic variation in multiple populations.

ABSTRACT: The additive genetic variance-covariance matrix (G) summarizes the multivariate genetic relationships among a set of traits. The geometry of G describes the distribution of multivariate genetic variance, and generates genetic constraints that bias the direction of evolution. Determining if and how the multivariate genetic variance evolves has been limited by a number of analytical challenges in comparing G-matrices. Current methods for the comparison of G typically share several drawbacks: metrics that lack a direct relationship to evolutionary theory, the inability to be applied in conjunction with complex experimental designs, difficulties with determining statistical confidence in inferred differences and an inherently pair-wise focus. Here, we present a cohesive and general analytical

SUBMITTER: Aguirre JD 

PROVIDER: S-EPMC3860158 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature