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Myelination-related genes are associated with decreased white matter integrity in schizophrenia

Overview of attention for article published in European Journal of Human Genetics, May 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

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1 news outlet
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96 Mendeley
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Article details
Title
Myelination-related genes are associated with decreased white matter integrity in schizophrenia
Published in
European Journal of Human Genetics, May 2015
DOI 10.1038/ejhg.2015.120
Pubmed ID
Authors
Abstract

Disruptions in white matter (WM) tract structures have been implicated consistently in the pathophysiology of schizophrenia. Global WM integrity - as measured by fractional anisotropy (FA) - is highly heritable and may provide a good endophenotype for genetic studies of schizophrenia. WM abnormalities in schizophrenia are not localized to one specific brain region but instead reflect global low-level decreases in FA coupled with focal abnormalities. In this study, we sought to investigate whether functional gene sets associated with schizophrenia are also associated with WM integrity. We analyzed FA and genetic data from the Mind Research Network Clinical Imaging Consortium to study the effect of multiple oligodendrocyte gene sets on schizophrenia and WM integrity using a functional gene set analysis in 77 subjects with schizophrenia and 104 healthy controls. We found that a gene set involved in myelination was significantly associated with schizophrenia and FA. This gene set includes 17 genes that are expressed in oligodendrocytes and one neuronal gene (NRG1) that is known to regulate myelination. None of the genes within the gene set were associated with schizophrenia or FA individually, suggesting that no single gene was driving the association of the gene set. Our findings support the hypothesis that multiple genetic variants in myelination-related genes contribute to the observed correlation between schizophrenia and decreased WM integrity as measured by FA.European Journal of Human Genetics advance online publication, 27 May 2015; doi:10.1038/ejhg.2015.120.

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

Mendeley demographics

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 22%
Researcher 16 17%
Student > Bachelor 7 7%
Student > Master 7 7%
Student > Postgraduate 7 7%
Other 14 15%
Unknown 24 25%
Readers by discipline
Readers by discipline Count As %
Neuroscience 17 18%
Agricultural and Biological Sciences 16 17%
Biochemistry, Genetics and Molecular Biology 8 8%
Medicine and Dentistry 6 6%
Psychology 5 5%
Other 14 15%
Unknown 30 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 June 2015.
All research outputs
#3,153,345
of 23,313,051 outputs
Outputs from European Journal of Human Genetics
#838
of 3,476 outputs
Outputs of similar age
#41,875
of 267,798 outputs
Outputs of similar age from European Journal of Human Genetics
#53
of 75 outputs
Altmetric has tracked 23,313,051 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,476 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,798 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.