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Strong genetic evidence for a selective influence of GABAA receptors on a component of the bipolar disorder phenotype

Overview of attention for article published in Molecular Psychiatry, July 2008
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Citations

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132 Mendeley
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Title
Strong genetic evidence for a selective influence of GABAA receptors on a component of the bipolar disorder phenotype
Published in
Molecular Psychiatry, July 2008
DOI 10.1038/mp.2008.66
Pubmed ID
Authors

N Craddock, L Jones, I R Jones, G Kirov, E K Green, D Grozeva, V Moskvina, I Nikolov, M L Hamshere, D Vukcevic, S Caesar, K Gordon-Smith, C Fraser, E Russell, N Norton, G Breen, D St Clair, D A Collier, A H Young, I N Ferrier, A Farmer, P McGuffin, P A Holmans, P Donnelly, M J Owen, M C O'Donovan

Abstract

Despite compelling evidence for a major genetic contribution to risk of bipolar mood disorder, conclusive evidence implicating specific genes or pathophysiological systems has proved elusive. In part this is likely to be related to the unknown validity of current phenotype definitions and consequent aetiological heterogeneity of samples. In the recent Wellcome Trust Case Control Consortium genome-wide association analysis of bipolar disorder (1868 cases, 2938 controls) one of the most strongly associated polymorphisms lay within the gene encoding the GABA(A) receptor beta1 subunit, GABRB1. Aiming to increase biological homogeneity, we sought the diagnostic subset that showed the strongest signal at this polymorphism and used this to test for independent evidence of association with other members of the GABA(A) receptor gene family. The index signal was significantly enriched in the 279 cases meeting Research Diagnostic Criteria for schizoaffective disorder, bipolar type (P=3.8 x 10(-6)). Independently, these cases showed strong evidence that variation in GABA(A) receptor genes influences risk for this phenotype (independent system-wide P=6.6 x 10(-5)) with association signals also at GABRA4, GABRB3, GABRA5 and GABRR3. [corrected] Our findings have the potential to inform understanding of presentation, pathogenesis and nosology of bipolar disorders. Our method of phenotype refinement may be useful in studies of other complex psychiatric and non-psychiatric disorders.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 2 2%
Austria 1 <1%
Australia 1 <1%
Germany 1 <1%
Unknown 123 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 28%
Student > Ph. D. Student 29 22%
Professor > Associate Professor 13 10%
Student > Bachelor 8 6%
Student > Master 7 5%
Other 23 17%
Unknown 15 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 27%
Medicine and Dentistry 28 21%
Psychology 16 12%
Neuroscience 16 12%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 15 11%
Unknown 17 13%
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 06 October 2016.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from Molecular Psychiatry
#2,627
of 4,076 outputs
Outputs of similar age
#25,105
of 81,702 outputs
Outputs of similar age from Molecular Psychiatry
#13
of 23 outputs
Altmetric has tracked 22,660,862 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 4,076 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one is in the 34th percentile – i.e., 34% 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 81,702 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 67% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.