High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington's Disease
This study assessed how (brain-derived neurotrophic factor) and other genes involved in its signaling influence brain structure and clinical functioning in pre-diagnosis Huntington's disease (HD). Parallel independent component analysis (pICA), a multivariate method for identifying correlated p...
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Veröffentlicht in: | Brain sciences 2018-06, Vol.8 (7), p.116 |
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Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This study assessed how
(brain-derived neurotrophic factor) and other genes involved in its signaling influence brain structure and clinical functioning in pre-diagnosis Huntington's disease (HD). Parallel independent component analysis (pICA), a multivariate method for identifying correlated patterns in multimodal datasets, was applied to gray matter concentration (GMC) and genomic data from a sizeable PREDICT-HD prodromal cohort (
= 715). pICA identified a genetic component highlighting
, which encodes BDNF's TrkB receptor, that correlated with a GMC component including supplementary motor, precentral/premotor cortex, and other frontal areas (
< 0.001); this association appeared to be driven by participants with high or low levels of the genetic profile. The frontal GMC profile correlated with cognitive and motor variables (Trail Making Test A (
= 0.03); Stroop Color (
= 0.017); Stroop Interference (
= 0.04); Symbol Digit Modalities Test (
= 0.031); Total Motor Score (
= 0.01)). A top-weighted
variant (rs2277193) was protectively associated with Trail Making Test B (
= 0.007); greater minor allele numbers were linked to a better performance. These results support the idea of a protective role of
in prodromal HD, particularly in individuals with certain genotypes, and suggest that this gene may influence the preservation of frontal gray matter that is important for clinical functioning. |
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ISSN: | 2076-3425 2076-3425 |
DOI: | 10.3390/brainsci8070116 |