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Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders

Overview of attention for article published in Frontiers in Neuroscience, November 2014
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 blog
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11 X users
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2 Wikipedia pages
googleplus
1 Google+ user
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1 YouTube creator

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169 Mendeley
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2 CiteULike
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Title
Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders
Published in
Frontiers in Neuroscience, November 2014
DOI 10.3389/fnins.2014.00331
Pubmed ID
Authors

Amit Lotan, Michaela Fenckova, Janita Bralten, Aet Alttoa, Luanna Dixson, Robert W. Williams, Monique van der Voet

Abstract

Major neuropsychiatric disorders are highly heritable, with mounting evidence suggesting that these disorders share overlapping sets of molecular and cellular underpinnings. In the current article we systematically test the degree of genetic commonality across six major neuropsychiatric disorders-attention deficit hyperactivity disorder (ADHD), anxiety disorders (Anx), autistic spectrum disorders (ASD), bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ). We curated a well-vetted list of genes based on large-scale human genetic studies based on the NHGRI catalog of published genome-wide association studies (GWAS). A total of 180 genes were accepted into the analysis on the basis of low but liberal GWAS p-values (<10(-5)). 22% of genes overlapped two or more disorders. The most widely shared subset of genes-common to five of six disorders-included ANK3, AS3MT, CACNA1C, CACNB2, CNNM2, CSMD1, DPCR1, ITIH3, NT5C2, PPP1R11, SYNE1, TCF4, TENM4, TRIM26, and ZNRD1. Using a suite of neuroinformatic resources, we showed that many of the shared genes are implicated in the postsynaptic density (PSD), expressed in immune tissues and co-expressed in developing human brain. Using a translational cross-species approach, we detected two distinct genetic components that were both shared by each of the six disorders; the 1st component is involved in CNS development, neural projections and synaptic transmission, while the 2nd is implicated in various cytoplasmic organelles and cellular processes. Combined, these genetic components account for 20-30% of the genetic load. The remaining risk is conferred by distinct, disorder-specific variants. Our systematic comparative analysis of shared and unique genetic factors highlights key gene sets and molecular processes that may ultimately translate into improved diagnosis and treatment of these debilitating disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 165 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 19%
Researcher 31 18%
Student > Master 25 15%
Student > Doctoral Student 18 11%
Student > Bachelor 11 7%
Other 24 14%
Unknown 28 17%
Readers by discipline Count As %
Medicine and Dentistry 31 18%
Neuroscience 24 14%
Psychology 23 14%
Agricultural and Biological Sciences 22 13%
Biochemistry, Genetics and Molecular Biology 13 8%
Other 15 9%
Unknown 41 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 28 November 2023.
All research outputs
#1,955,428
of 25,654,806 outputs
Outputs from Frontiers in Neuroscience
#1,054
of 11,659 outputs
Outputs of similar age
#22,340
of 276,961 outputs
Outputs of similar age from Frontiers in Neuroscience
#14
of 115 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 90% 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 276,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.