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Heritability of cervical spinal cord structure.

Authors :
Solstrand Dahlberg L
Viessmann O
Linnman C
Source :
Neurology. Genetics [Neurol Genet] 2020 Feb 26; Vol. 6 (2), pp. e401. Date of Electronic Publication: 2020 Feb 26 (Print Publication: 2020).
Publication Year :
2020

Abstract

Objective: Measures of spinal cord structure can be a useful phenotype to track disease severity and development; this observational study measures the hereditability of cervical spinal cord anatomy and its correlates in healthy human beings.<br />Methods: Twin data from the Human Connectome Project were analyzed with semiautomated spinal cord segmentation, evaluating test-retest reliability and broad-sense heritability with an AE model. Relationships between spinal cord metrics, general physical measures, regional brain structural measures, and motor function were assessed.<br />Results: We found that the spinal cord C2 cross-sectional area (CSA), left-right width (LRW), and anterior-posterior width (APW) are highly heritable (85%-91%). All measures were highly correlated with the brain volume, and CSA only was positively correlated with thalamic volumes ( p = 0.005) but negatively correlated with the occipital cortex area ( p = 0.001). LRW was correlated with the participant's height ( p = 0.00027). The subjects' sex significantly influenced these metrics. Analyses of a test-retest data set confirmed validity of the approach.<br />Conclusions: This study provides the evidence of genetic influence on spinal cord structure. MRI metrics of cervical spinal cord anatomy are robust and not easily influenced by nonpathological environmental factors, providing a useful metric for monitoring normal development and progression of neurodegenerative disorders affecting the spinal cord, including-but not limited to-spinal cord injury and MS.<br /> (Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)

Details

Language :
English
ISSN :
2376-7839
Volume :
6
Issue :
2
Database :
MEDLINE
Journal :
Neurology. Genetics
Publication Type :
Academic Journal
Accession number :
32185240
Full Text :
https://doi.org/10.1212/NXG.0000000000000401