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Genome-wide schizophrenia variant at MIR137 does not impact white matter microstructure in healthy participants

Overview of attention for article published in Neuroscience Letters, May 2014
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Title
Genome-wide schizophrenia variant at MIR137 does not impact white matter microstructure in healthy participants
Published in
Neuroscience Letters, May 2014
DOI 10.1016/j.neulet.2014.05.002
Pubmed ID
Authors

Sinead Kelly, Derek W. Morris, Omar Mothersill, Emma Jane Rose, Ciara Fahey, Carol O’Brien, Erik O’Hanlon, Michael Gill, Aiden P. Corvin, Gary Donohoe

Abstract

A single nucleotide polymorphism (SNP rs1625579) within the micro-RNA 137 (MIR137) gene recently achieved strong genome-wide association with schizophrenia (SZ). However, the mechanisms by which SZ risk may be mediated by this variant are unknown. As miRNAs have the potential to influence oligodendrocyte development, we investigated whether this SNP was associated with variability in white matter (WM) microstructure. Diffusion tensor imaging (DTI) was conducted on 123 healthy participants genotyped for rs1625579. The analysis consisted of whole-brain tract-based spatial statistics and atlas-based tractography analysis of six major WM tracts known to be affected in SZ - the inferior longitudinal fasciculus, the uncinate fasciculus, the inferior fronto-occipital fasciculus, the anterior thalamic radiation, the cingulum bundle and the corpus callosum. No significant differences in either whole-brain fractional anisotropy or mean diffusivity between MIR137 genotype groups were observed (p>0.05). Similarly, atlas-based tractography of particular tracts implicated in SZ failed to reveal any significant differences between MIR137 genotype groups on measures of WM connectivity (p>0.05). In the absence of WM effects comparable to those reported for other SZ associated genes, these data suggest that MIR137 alone may not confer variability in these WM measures and therefore may not act in isolation for any effects that the variant may have on WM microstructure in SZ samples.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 4 15%
Student > Postgraduate 3 12%
Student > Doctoral Student 3 12%
Student > Bachelor 2 8%
Other 0 0%
Unknown 7 27%
Readers by discipline Count As %
Neuroscience 5 19%
Medicine and Dentistry 4 15%
Agricultural and Biological Sciences 3 12%
Psychology 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 10 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2014.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Neuroscience Letters
#6,782
of 7,756 outputs
Outputs of similar age
#209,295
of 241,770 outputs
Outputs of similar age from Neuroscience Letters
#65
of 83 outputs
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