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Association study of the KCNJ3 gene as a susceptibility candidate for schizophrenia in the Chinese population

Overview of attention for article published in Human Genetics, September 2011
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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Citations

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43 Mendeley
Title
Association study of the KCNJ3 gene as a susceptibility candidate for schizophrenia in the Chinese population
Published in
Human Genetics, September 2011
DOI 10.1007/s00439-011-1089-3
Pubmed ID
Authors

Kazuo Yamada, Yoshimi Iwayama, Tomoko Toyota, Tetsuo Ohnishi, Hisako Ohba, Motoko Maekawa, Takeo Yoshikawa

Abstract

We recently reported the results of a genome-wide association study (GWAS) of schizophrenia in the Japanese population. In that study, a single nucleotide polymorphism (SNP) (rs3106653) in the KCNJ3 (potassium inwardly rectifying channel, subfamily J, member 3) gene located at 2q24.1 showed association with schizophrenia in two independent sample sets. KCNJ3, also termed GIRK1 or Kir3.1, is a member of the G protein-activated inwardly rectifying K(+) channel (GIRK) group. GIRKs are widely distributed in the brain and play an important role in regulating neural excitability through the activation of various G protein-coupled receptors. In this study, we set out to examine this association using a different population. We first performed a gene-centric association study of the KCNJ3 gene, by genotyping 38 tagSNPs in the Chinese population. We detected nine SNPs that displayed significant association with schizophrenia (lowest P = 0.0016 for rs3106658, Global significance = 0.036). The initial marker SNP (rs3106653) examined in our prior GWAS in the Japanese population also showed nominally significant association in the Chinese population (P = 0.028). Next, we analyzed transcript levels in the dorsolateral prefrontal cortex of postmortem brains from patients with schizophrenia and bipolar disorder and from healthy controls, using real-time quantitative RT-PCR. We found significantly lower KCNJ3 expression in postmortem brains from schizophrenic and bipolar patients compared with controls. These data suggest that the KCNJ3 gene is genetically associated with schizophrenia in Asian populations and add further evidence to the "channelopathy theory of psychiatric illnesses".

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Student > Bachelor 4 9%
Student > Master 4 9%
Researcher 4 9%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 15 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 19%
Neuroscience 6 14%
Biochemistry, Genetics and Molecular Biology 5 12%
Computer Science 2 5%
Psychology 2 5%
Other 4 9%
Unknown 16 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 June 2015.
All research outputs
#6,376,108
of 22,656,971 outputs
Outputs from Human Genetics
#802
of 2,948 outputs
Outputs of similar age
#37,081
of 130,171 outputs
Outputs of similar age from Human Genetics
#8
of 18 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 71% 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 130,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 18 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.