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We suggest a multivariate genotype-phenotype association test for functional magnetic resonance imaging (fMRI) data. The method uses a voxel selection and ranking scheme based on iterative adaptive Lasso for defining a functional region of interest. A classifier-based test is used to assess the significance of potential associations between the differential activity pattern within that region and a set of candidate genetic variants. We applied the method to a small sample dataset from an ongoing imaging genetics study and identified a significant genetic association to a stimulus-locked imaging phenotype.