Our chief of statistical modeling Natalia Vilor-Tejedor recently published an interesting article in the Computational and Structural Biotechnology Journal: Multivariate Analysis and Modelling of multiple Brain endOphenotypes, let’s MAMBO!
Imaging genetic studies aim to test how genetic information influences brain structure and function by combining neuroimaging-based brain features and genetic data from the same individual. Most studies focus on individual correlation and association tests between genetic variants and a single measurement of the brain. Despite the great success of univariate approaches, given the capacity of neuroimaging methods to provide a multiplicity of cerebral phenotypes, the development and application of multivariate methods become crucial.
In this article, they review novel methods and strategies focused on the analysis of multiple phenotypes and genetic data. They also discuss relevant aspects of multi-trait modelling in the context of neuroimaging data.
Read the full article here.
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