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Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia

Overview of attention for article published in Molecular Psychiatry, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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1 news outlet
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26 X users

Citations

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67 Dimensions

Readers on

mendeley
110 Mendeley
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1 CiteULike
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Title
Partitioning heritability analysis reveals a shared genetic basis of brain anatomy and schizophrenia
Published in
Molecular Psychiatry, October 2016
DOI 10.1038/mp.2016.164
Pubmed ID
Authors

P H Lee, J T Baker, A J Holmes, N Jahanshad, T Ge, J-Y Jung, Y Cruz, D S Manoach, D P Hibar, J Faskowitz, K L McMahon, G I de Zubicaray, N H Martin, M J Wright, D Öngür, R Buckner, J Roffman, P M Thompson, J W Smoller

Abstract

Schizophrenia is a devastating neurodevelopmental disorder with a complex genetic etiology. Widespread cortical gray matter loss has been observed in patients and prodromal samples. However, it remains unresolved whether schizophrenia-associated cortical structure variations arise due to disease etiology or secondary to the illness. Here we address this question using a partitioning-based heritability analysis of genome-wide single-nucleotide polymorphism (SNP) and neuroimaging data from 1750 healthy individuals. We find that schizophrenia-associated genetic variants explain a significantly enriched proportion of trait heritability in eight brain phenotypes (false discovery rate=10%). In particular, intracranial volume and left superior frontal gyrus thickness exhibit significant and robust associations with schizophrenia genetic risk under varying SNP selection conditions. Cross-disorder comparison suggests that the neurogenetic architecture of schizophrenia-associated brain regions is, at least in part, shared with other psychiatric disorders. Our study highlights key neuroanatomical correlates of schizophrenia genetic risk in the general population. These may provide fundamental insights into the complex pathophysiology of the illness, and a potential link to neurocognitive deficits shaping the disorder.Molecular Psychiatry advance online publication, 11 October 2016; doi:10.1038/mp.2016.164.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 109 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 24%
Researcher 21 19%
Student > Bachelor 13 12%
Student > Master 9 8%
Student > Doctoral Student 5 5%
Other 8 7%
Unknown 28 25%
Readers by discipline Count As %
Psychology 18 16%
Neuroscience 15 14%
Medicine and Dentistry 10 9%
Agricultural and Biological Sciences 9 8%
Biochemistry, Genetics and Molecular Biology 9 8%
Other 10 9%
Unknown 39 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 22 September 2017.
All research outputs
#1,572,084
of 24,226,848 outputs
Outputs from Molecular Psychiatry
#1,207
of 4,371 outputs
Outputs of similar age
#28,706
of 325,034 outputs
Outputs of similar age from Molecular Psychiatry
#25
of 68 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,371 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one has gotten more attention than average, scoring higher than 72% 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 325,034 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 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.