BALZARINI MONICA GRACIELA
Artículos
Título:
Test of interaction in the analysis of molecular variance
Autor/es:
BRUNO, C.; VIDELA, M.E.; BALZARINI, M.
Revista:
Journal of Basic and Applied Genetics
Editorial:
Sociedad Argentina de Genética
Referencias:
Año: 2019 vol. 30 p. 17 - 17
Resumen:
he genomic diversity, expressed in the differences between molecular haplotypes of a group of individuals, can be divided into components of variability between and within some factor of classification of the individuals. For such variance partitioning, molecular analysis of variance (AMOVA) is used, which is constructed from the multivariate distances between pairs of haplotypes. The classical AMOVA allows the evaluation of the statistical significance of two or more hierarchical factors and consequently there is no interaction test between factors. However, there are situations where the factors that classify individuals are crossed rather than nested, that is, all the levels of a factor are represented in each level of the other one. This paper proposes a statistical test to evaluate the interaction between crossed factors in a Non-Hierarchical AMOVA. The null hypothesis of interaction establishes that the molecular differences between individuals of different levels of a factor ar