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Article

A kernel machine method for detecting effects of interaction between multidimensional variable sets: an imaging genetics application.

NeuroImage - 1 Apr 2015

Ge Tian, Nichols Thomas E, Ghosh Debashis, Mormino Elizabeth C, Smoller Jordan W, Sabuncu Mert R

Abstract excerpt

Measurements derived from neuroimaging data can serve as markers of disease and/or healthy development, are largely heritable, and have been increasingly utilized as (intermediate) phenotypes in genetic association studies. To date, imaging genetic studies have mostly focused on discovering isolated genetic effects, typically ignoring potential interactions with non-genetic variables such as disease risk factors,...

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Identifiers

PMID: 25600633
DOI: 10.1016/j.neuroimage.2015.01.029
PMCID: PMC4339421

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EPHA1

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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