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De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability

Overview of attention for article published in Molecular Psychiatry, April 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
35 X users
patent
2 patents
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
315 Dimensions

Readers on

mendeley
403 Mendeley
citeulike
1 CiteULike
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Title
De novo mutations in schizophrenia implicate chromatin remodeling and support a genetic overlap with autism and intellectual disability
Published in
Molecular Psychiatry, April 2014
DOI 10.1038/mp.2014.29
Pubmed ID
Authors

S E McCarthy, J Gillis, M Kramer, J Lihm, S Yoon, Y Berstein, M Mistry, P Pavlidis, R Solomon, E Ghiban, E Antoniou, E Kelleher, C O'Brien, G Donohoe, M Gill, D W Morris, W R McCombie, A Corvin

Abstract

Schizophrenia is a serious psychiatric disorder with a broadly undiscovered genetic etiology. Recent studies of de novo mutations (DNMs) in schizophrenia and autism have reinforced the hypothesis that rare genetic variation contributes to risk. We carried out exome sequencing on 57 trios with sporadic or familial schizophrenia. In sporadic trios, we observed a ~3.5-fold increase in the proportion of nonsense DNMs (0.101 vs 0.031, empirical P=0.01, Benjamini-Hochberg-corrected P=0.044). These mutations were significantly more likely to occur in genes with highly ranked probabilities of haploinsufficiency (P=0.0029, corrected P=0.006). DNMs of potential functional consequence were also found to occur in genes predicted to be less tolerant to rare variation (P=2.01 × 10(-)(5), corrected P=2.1 × 10(-)(3)). Genes with DNMs overlapped with genes implicated in autism (for example, AUTS2, CHD8 and MECP2) and intellectual disability (for example, HUWE1 and TRAPPC9), supporting a shared genetic etiology between these disorders. Functionally CHD8, MECP2 and HUWE1 converge on epigenetic regulation of transcription suggesting that this may be an important risk mechanism. Our results were consistent in an analysis of additional exome-based sequencing studies of other neurodevelopmental disorders. These findings suggest that perturbations in genes, which function in the epigenetic regulation of brain development and cognition, could have a central role in the susceptibility to, pathogenesis and treatment of mental disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 <1%
Italy 2 <1%
United States 2 <1%
United Kingdom 2 <1%
Germany 1 <1%
France 1 <1%
Canada 1 <1%
Croatia 1 <1%
Unknown 390 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 20%
Researcher 66 16%
Student > Master 45 11%
Student > Bachelor 38 9%
Student > Doctoral Student 32 8%
Other 74 18%
Unknown 67 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 102 25%
Biochemistry, Genetics and Molecular Biology 85 21%
Neuroscience 57 14%
Medicine and Dentistry 26 6%
Psychology 24 6%
Other 33 8%
Unknown 76 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 August 2023.
All research outputs
#639,358
of 26,017,215 outputs
Outputs from Molecular Psychiatry
#592
of 4,689 outputs
Outputs of similar age
#5,727
of 245,558 outputs
Outputs of similar age from Molecular Psychiatry
#7
of 38 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done well, scoring higher than 87% 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 245,558 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 97% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.