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Association Analysis of 94 Candidate Genes and Schizophrenia-Related Endophenotypes

Overview of attention for article published in PLOS ONE, January 2012
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157 Mendeley
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Title
Association Analysis of 94 Candidate Genes and Schizophrenia-Related Endophenotypes
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029630
Pubmed ID
Authors

Tiffany A. Greenwood, Gregory A. Light, Neal R. Swerdlow, Allen D. Radant, David L. Braff

Abstract

While it is clear that schizophrenia is highly heritable, the genetic basis of this heritability is complex. Human genetic, brain imaging, and model organism studies have met with only modest gains. A complementary research tactic is to evaluate the genetic substrates of quantitative endophenotypes with demonstrated deficits in schizophrenia patients. We used an Illumina custom 1,536-SNP array to interrogate 94 functionally relevant candidate genes for schizophrenia and evaluate association with both the qualitative diagnosis of schizophrenia and quantitative endophenotypes for schizophrenia. Subjects included 219 schizophrenia patients and normal comparison subjects of European ancestry and 76 schizophrenia patients and normal comparison subjects of African ancestry, all ascertained by the UCSD Schizophrenia Research Program. Six neurophysiological and neurocognitive endophenotype test paradigms were assessed: prepulse inhibition (PPI), P50 suppression, the antisaccade oculomotor task, the Letter-Number Span Test, the California Verbal Learning Test-II, and the Wisconsin Card Sorting Test-64 Card Version. These endophenotype test paradigms yielded six primary endophenotypes with prior evidence of heritability and demonstrated schizophrenia-related impairments, as well as eight secondary measures investigated as candidate endophenotypes. Schizophrenia patients showed significant deficits on ten of the endophenotypic measures, replicating prior studies and facilitating genetic analyses of these phenotypes. A total of 38 genes were found to be associated with at least one endophenotypic measure or schizophrenia with an empirical p-value<0.01. Many of these genes have been shown to interact on a molecular level, and eleven genes displayed evidence for pleiotropy, revealing associations with three or more endophenotypic measures. Among these genes were ERBB4 and NRG1, providing further support for a role of these genes in schizophrenia susceptibility. The observation of extensive pleiotropy for some genes and singular associations for others in our data may suggest both converging and independent genetic (and neural) pathways mediating schizophrenia risk and pathogenesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 2%
United States 2 1%
United Kingdom 2 1%
Brazil 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 147 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 24%
Student > Master 22 14%
Researcher 20 13%
Student > Bachelor 13 8%
Professor > Associate Professor 12 8%
Other 33 21%
Unknown 20 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 20%
Psychology 31 20%
Neuroscience 26 17%
Medicine and Dentistry 25 16%
Biochemistry, Genetics and Molecular Biology 10 6%
Other 7 4%
Unknown 26 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 February 2013.
All research outputs
#12,792,530
of 22,661,413 outputs
Outputs from PLOS ONE
#99,461
of 193,502 outputs
Outputs of similar age
#141,066
of 243,250 outputs
Outputs of similar age from PLOS ONE
#1,451
of 3,266 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 243,250 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,266 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 55% of its contemporaries.