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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/184242
Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!
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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 neu- roimaging methods to provide a multiplicity of cerebral phenotypes, the development and application of multivariate methods become crucial. In this article, we review novel methods and strategies focused on the analysis of multiple phenotypes and genetic data. We also discuss relevant aspects of multi-trait modelling in the context of neuroimag- ing data.
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VILOR TEJEDOR, Natalia, et al. Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!. Computational And Structural Biotechnology Journal. 2021. Vol. 19, num. 5800-5810. ISSN 2001-0370. [consulted: 15 of June of 2026]. Available at: https://hdl.handle.net/2445/184242