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Article

Discovering genetic associations with high-dimensional neuroimaging phenotypes: A sparse reduced-rank regression approach.

NeuroImage - 15 Nov 2010

Vounou Maria, Nichols Thomas E, Montana Giovanni

Abstract excerpt

There is growing interest in performing genome-wide searches for associations between genetic variants and brain imaging phenotypes. While much work has focused on single scalar valued summaries of brain phenotype, accounting for the richness of imaging data requires a brain-wide, genome-wide search. In particular, the standard approach based on mass-univariate linear modelling (MULM) does not account for the...

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Identifiers

PMID: 20624472
DOI: 10.1016/j.neuroimage.2010.07.002
PMCID: PMC5253177

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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