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MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia

Overview of attention for article published in Neuroscience Letters, August 2015
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Citations

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15 Dimensions

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26 Mendeley
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Title
MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia
Published in
Neuroscience Letters, August 2015
DOI 10.1016/j.neulet.2015.06.039
Pubmed ID
Authors

Veena S. Patel, Sinead Kelly, Carrie Wright, Cota Navin Gupta, Alejandro Arias-Vasquez, Nora Perrone-Bizzozero, Stefan Ehrlich, Lei Wang, Juan R. Bustillo, Derek Morris, Aiden Corvin, Dara M. Cannon, Colm McDonald, Gary Donohoe, Vince D. Calhoun, Jessica A. Turner

Abstract

Genome-wide association studies implicate the MIR137HG risk variant rs1625579 (MIR137HGrv) within the host gene for microRNA-137 as a potential regulator of schizophrenia susceptibility. We examined the influence of MIR137HGrv genotype on 17 subcortical and callosal volumes in a large sample of individuals with schizophrenia and healthy controls (n=841). Although the volumes were overall reduced relative to healthy controls, for individuals with schizophrenia the homozygous MIR137HGrv risk genotype was associated with attenuated reduction of mid-posterior corpus callosum volume (p=0.001), along with trend-level effects in the adjacent central and posterior corpus callosum. These findings are unique in the literature and remain robust after analysis in ethnically homogenous and single-scanner subsets of the larger sample. Thus, our study suggests that the mechanisms whereby MIR137HGrv works to increase schizophrenia risk are not those that generate the corpus callosum volume reductions commonly found in the disorder.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Master 3 12%
Professor > Associate Professor 2 8%
Student > Postgraduate 2 8%
Student > Ph. D. Student 2 8%
Other 4 15%
Unknown 8 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 15%
Biochemistry, Genetics and Molecular Biology 3 12%
Neuroscience 3 12%
Medicine and Dentistry 2 8%
Immunology and Microbiology 1 4%
Other 5 19%
Unknown 8 31%

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 29 October 2015.
All research outputs
#9,799,357
of 12,265,782 outputs
Outputs from Neuroscience Letters
#4,397
of 5,529 outputs
Outputs of similar age
#165,837
of 239,156 outputs
Outputs of similar age from Neuroscience Letters
#63
of 113 outputs
Altmetric has tracked 12,265,782 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,529 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.