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International Journal ofMolecular Sciences ArticleMultivariate Genetic Structure of Externalizing Behavior and Structural Brain Development in a Longitudinal Adolescent Twin Sample Jalmar Teeuw 1,
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Determine the number of variables that you want to include in the analysis.
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Collect data for each variable from the individuals in your study.
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Interpret the results to understand the genetic relationships between the variables.

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Researchers studying the genetic basis of complex traits or diseases.
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Scientists interested in understanding the genetic structure of populations.
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Biologists investigating the heritability of specific traits.
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Multivariate genetic structure refers to the analysis of multiple genetic traits or markers to understand the underlying genetic architecture of a population.
Researchers, scientists, or geneticists conducting studies or experiments involving multiple genetic traits or markers may be required to report the multivariate genetic structure of their data.
To fill out a multivariate genetic structure, one must first collect data on multiple genetic traits or markers, then conduct statistical analysis to determine the relationships between these variables.
The purpose of multivariate genetic structure analysis is to better understand the complex interactions between different genetic traits and how they contribute to phenotypic variation.
The information reported on a multivariate genetic structure may include the genetic markers or traits analyzed, statistical measures of covariance or correlation between traits, and any conclusions drawn from the analysis.
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