Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.

ABSTRACT:

Motivation

Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained. Conventional phenotyping relies on manual calculation of LV mass and wall thickness, but advanced cardiac image analysis presents an opportunity for high-throughput mapping of genotype-phenotype associations in three dimensions (3D).

Results

High-resolution cardiac magnetic resonance images were automatically segmented in 1124 healthy volunteers to create a 3D shape model of the heart. Mass univariate regression was used to plot a 3D effect-size map for the association between wall thickness and a set of predictors at each vertex in the mesh. The vertices where a significant effect exists were determined by applying threshold-

SUBMITTER: Biffi C 

PROVIDER: S-EPMC5870605 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature