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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DCLK1 Variants Are Associated across Schizophrenia and Attention Deficit/Hyperactivity Disorder
|
|---|---|
| Published in |
PLOS ONE, April 2012
|
| DOI | 10.1371/journal.pone.0035424 |
| Pubmed ID | |
| Authors |
Bjarte Håvik, Franziska A. Degenhardt, Stefan Johansson, Carla P. D. Fernandes, Anke Hinney, André Scherag, Helle Lybæk, Srdjan Djurovic, Andrea Christoforou, Kari M. Ersland, Sudheer Giddaluru, Michael C. O'Donovan, Michael J. Owen, Nick Craddock, Thomas W. Mühleisen, Manuel Mattheisen, Benno G. Schimmelmann, Tobias Renner, Andreas Warnke, Beate Herpertz-Dahlmann, Judith Sinzig, Özgür Albayrak, Marcella Rietschel, Markus M. Nöthen, Clive R. Bramham, Thomas Werge, Johannes Hebebrand, Jan Haavik, Ole A. Andreassen, Sven Cichon, Vidar M. Steen, Stéphanie Le Hellard |
| Abstract |
Doublecortin and calmodulin like kinase 1 (DCLK1) is implicated in synaptic plasticity and neurodevelopment. Genetic variants in DCLK1 are associated with cognitive traits, specifically verbal memory and general cognition. We investigated the role of DCLK1 variants in three psychiatric disorders that have neuro-cognitive dysfunctions: schizophrenia (SCZ), bipolar affective disorder (BP) and attention deficit/hyperactivity disorder (ADHD). We mined six genome wide association studies (GWASs) that were available publically or through collaboration; three for BP, two for SCZ and one for ADHD. We also genotyped the DCLK1 region in additional samples of cases with SCZ, BP or ADHD and controls that had not been whole-genome typed. In total, 9895 subjects were analysed, including 5308 normal controls and 4,587 patients (1,125 with SCZ, 2,496 with BP and 966 with ADHD). Several DCLK1 variants were associated with disease phenotypes in the different samples. The main effect was observed for rs7989807 in intron 3, which was strongly associated with SCZ alone and even more so when cases with SCZ and ADHD were combined (P-value = 4 × 10(-5) and 4 × 10(-6), respectively). Associations were also observed with additional markers in intron 3 (combination of SCZ, ADHD and BP), intron 19 (SCZ+BP) and the 3'UTR (SCZ+BP). Our results suggest that genetic variants in DCLK1 are associated with SCZ and, to a lesser extent, with ADHD and BP. Interestingly the association is strongest when SCZ and ADHD are considered together, suggesting common genetic susceptibility. Given that DCLK1 variants were previously found to be associated with cognitive traits, these results are consistent with the role of DCLK1 in neurodevelopment and synaptic plasticity. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 2 | 50% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Germany | 1 | 1% |
| Unknown | 77 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Master | 13 | 16% |
| Student > Bachelor | 8 | 10% |
| Other | 6 | 8% |
| Other | 8 | 10% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 23% |
| Medicine and Dentistry | 16 | 20% |
| Neuroscience | 9 | 11% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Psychology | 6 | 8% |
| Other | 5 | 6% |
| Unknown | 18 | 23% |
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 09 May 2012.
All research outputs
#14,776,743
of 25,654,806 outputs
Outputs from PLOS ONE
#129,384
of 223,967 outputs
Outputs of similar age
#98,821
of 175,744 outputs
Outputs of similar age from PLOS ONE
#1,887
of 3,778 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 41st percentile – i.e., 41% 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 175,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,778 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.