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Mendeley readers
Attention Score in Context
| Title |
Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder
|
|---|---|
| Published in |
Frontiers in Psychiatry, May 2018
|
| DOI | 10.3389/fpsyt.2018.00207 |
| Pubmed ID | |
| Authors |
Céline S. Reinbold, Andreas J. Forstner, Julian Hecker, Janice M. Fullerton, Per Hoffmann, Liping Hou, Urs Heilbronner, Franziska Degenhardt, Mazda Adli, Kazufumi Akiyama, Nirmala Akula, Raffaella Ardau, Bárbara Arias, Lena Backlund, Antonio Benabarre, Susanne Bengesser, Abesh K. Bhattacharjee, Joanna M. Biernacka, Armin Birner, Cynthia Marie-Claire, Pablo Cervantes, Guo-Bo Chen, Hsi-Chung Chen, Caterina Chillotti, Scott R. Clark, Francesc Colom, David A. Cousins, Cristiana Cruceanu, Piotr M. Czerski, Alexandre Dayer, Bruno Étain, Peter Falkai, Louise Frisén, Sébastien Gard, Julie S. Garnham, Fernando S. Goes, Paul Grof, Oliver Gruber, Ryota Hashimoto, Joanna Hauser, Stefan Herms, Stéphane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Sarah Kittel-Schneider, Sebastian Kliwicki, Barbara König, Ichiro Kusumi, Nina Lackner, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G. Leckband, Carlos A. López Jaramillo, Glenda MacQueen, Mirko Manchia, Lina Martinsson, Manuel Mattheisen, Michael J. McCarthy, Susan L. McElroy, Marina Mitjans, Francis M. Mondimore, Palmiero Monteleone, Caroline M. Nievergelt, Urban Ösby, Norio Ozaki, Roy H. Perlis, Andrea Pfennig, Daniela Reich-Erkelenz, Guy A. Rouleau, Peter R. Schofield, K. Oliver Schubert, Barbara W. Schweizer, Florian Seemüller, Giovanni Severino, Tatyana Shekhtman, Paul D. Shilling, Kazutaka Shimoda, Christian Simhandl, Claire M. Slaney, Jordan W. Smoller, Alessio Squassina, Thomas J. Stamm, Pavla Stopkova, Sarah K. Tighe, Alfonso Tortorella, Gustavo Turecki, Julia Volkert, Stephanie H. Witt, Adam J. Wright, L. Trevor Young, Peter P. Zandi, James B. Potash, J. Raymond DePaulo, Michael Bauer, Eva Reininghaus, Tomáš Novák, Jean-Michel Aubry, Mario Maj, Bernhard T. Baune, Philip B. Mitchell, Eduard Vieta, Mark A. Frye, Janusz K. Rybakowski, Po-Hsiu Kuo, Tadafumi Kato, Maria Grigoroiu-Serbanescu, Andreas Reif, Maria Del Zompo, Frank Bellivier, Martin Schalling, Naomi R. Wray, John R. Kelsoe, Martin Alda, Francis J. McMahon, Thomas G. Schulze, Marcella Rietschel, Markus M. Nöthen, Sven Cichon |
| Abstract |
Bipolar disorder (BD) is a common, highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. Lithium is the best-established long-term treatment for BD, even though individual response is highly variable. Evidence suggests that some of this variability has a genetic basis. This is supported by the largest genome-wide association study (GWAS) of lithium response to date conducted by the International Consortium on Lithium Genetics (ConLiGen). Recently, we performed the first genome-wide analysis of the involvement of miRNAs in BD and identified nine BD-associated miRNAs. However, it is unknown whether these miRNAs are also associated with lithium response in BD. In the present study, we therefore tested whether common variants at these nine candidate miRNAs contribute to the variance in lithium response in BD. Furthermore, we systematically analyzed whether any other miRNA in the genome is implicated in the response to lithium. For this purpose, we performed gene-based tests for all known miRNA coding genes in the ConLiGen GWAS dataset (n = 2,563 patients) using a set-based testing approach adapted from the versatile gene-based test for GWAS (VEGAS2). In the candidate approach, miR-499a showed a nominally significant association with lithium response, providing some evidence for involvement in both development and treatment of BD. In the genome-wide miRNA analysis, 71 miRNAs showed nominally significant associations with the dichotomous phenotype and 106 with the continuous trait for treatment response. A total of 15 miRNAs revealed nominal significance in both phenotypes with miR-633 showing the strongest association with the continuous trait (p = 9.80E-04) and miR-607 with the dichotomous phenotype (p = 5.79E-04). No association between miRNAs and treatment response to lithium in BD in either of the tested conditions withstood multiple testing correction. Given the limited power of our study, the investigation of miRNAs in larger GWAS samples of BD and lithium response is warranted. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 8% |
| United Kingdom | 1 | 8% |
| United States | 1 | 8% |
| Switzerland | 1 | 8% |
| Greece | 1 | 8% |
| Cyprus | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 129 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 15% |
| Student > Ph. D. Student | 11 | 9% |
| Professor | 10 | 8% |
| Student > Doctoral Student | 9 | 7% |
| Student > Bachelor | 7 | 5% |
| Other | 30 | 23% |
| Unknown | 43 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 16% |
| Neuroscience | 18 | 14% |
| Biochemistry, Genetics and Molecular Biology | 13 | 10% |
| Psychology | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 13 | 10% |
| Unknown | 51 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 June 2018.
All research outputs
#4,536,999
of 23,323,574 outputs
Outputs from Frontiers in Psychiatry
#2,197
of 10,428 outputs
Outputs of similar age
#87,282
of 331,894 outputs
Outputs of similar age from Frontiers in Psychiatry
#88
of 177 outputs
Altmetric has tracked 23,323,574 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,428 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 78% 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 331,894 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 73% of its contemporaries.
We're also able to compare this research output to 177 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 50% of its contemporaries.