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

Natalia Vilor-Tejedor, Diego Garrido-Martin, Blanca Rodriguez-Fernandez, Sander Lamballais, Roderic Guigo, Juan Domingo Gispert

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Abstract

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, 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.

Original languageEnglish
Pages (from-to)5800-5810
Number of pages11
JournalComputational and Structural Biotechnology Journal
Volume19
DOIs
Publication statusPublished - 2021

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