Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!

Natalia Vilor-Tejedor, Diego Garrido-Martín, Blanca Rodriguez-Fernandez, Sander Lamballais, Roderic Guigó, Juan Domingo Gispert
2021 Computational and Structural Biotechnology Journal  
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
more » ... 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 neuroimaging data.
doi:10.1016/j.csbj.2021.10.019 pmid:34765095 pmcid:PMC8567328 fatcat:qxpol6cydbfothoeeox4u3e7vq