Variance additivity of genetic populational parameter estimates obtained through bootstrapping
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Data
2003-02
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Resumo
Studying the genetic structure of natural populations is very important for conservation and use
of the genetic variability available in nature. This research is related to genetic population structure analysis
using real and simulated molecular data. To obtain variance estimates of pertinent parameters, the bootstrap
resampling procedure was applied over different sampling units, namely: individuals within populations (I),
populations (P), and individuals and populations simultaneously (I, P). The considered parameters were: the
total fixation index (F or FIT), the fixation index within populations (f or FIS) and the divergence among populations
or intrapopulation coancestry (θ or FST). The aim of this research was to verify if the variance estimates of Fˆ ,
fˆ and θˆ , found through the resampling over individuals and populations simultaneously (I, P), correspond to
the sum of the respective variance estimates obtained from separated resampling over individuals and
populations (I+P). This equivalence was verified in all cases, showing that the total variance estimate of Fˆ , fˆ
and θˆ can be obtained summing up the variances estimated for each source of variation separately. Results
also showed that this facilitates the use of the bootstrap method on data with hierarchical structure and opens
the possibility of obtaining the relative contribution of each source of variation to the total variation of estimated
parameters.
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Population structure, Resampling, Molecular markers, Natural populations, Simulation, Estrutura populacional, Reamostragem, Marcadores moleculares, Populações naturais, Simulação
Citação
GARCIA, Luciana Aparecida Carlini; VENCOVSKY, Roland; COELHO, Alexandre Siqueira Guedes. Variance additivity of genetic populational parameter estimates obtained through bootstrapping. Scientia Agricola, Piracicaba, v. 60, n. 1, p. 97-103, jan./fev. 2003.