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Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder.

Overview of attention for article published in Human Molecular Genetics, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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5 X users
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1 patent
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2 Wikipedia pages

Citations

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180 Dimensions

Readers on

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256 Mendeley
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2 CiteULike
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Title
Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder.
Published in
Human Molecular Genetics, June 2016
DOI 10.1093/hmg/ddw181
Pubmed ID
Authors

Liping Hou, Sarah E Bergen, Nirmala Akula, Jie Song, Christina M Hultman, Mikael Landén, Mazda Adli, Martin Alda, Raffaella Ardau, Bárbara Arias, Jean-Michel Aubry, Lena Backlund, Judith A Badner, Thomas B Barrett, Michael Bauer, Bernhard T Baune, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Wade H Berrettini, Abesh Kumar Bhattacharjee, Joanna M Biernacka, Armin Birner, Cinnamon S Bloss, Clara Brichant-Petitjean, Elise T Bui, William Byerley, Pablo Cervantes, Caterina Chillotti, Sven Cichon, Francesc Colom, William Coryell, David W Craig, Cristiana Cruceanu, Piotr M Czerski, Tony Davis, Alexandre Dayer, Franziska Degenhardt, Maria Del Zompo, J Raymond DePaulo, Howard J Edenberg, Bruno Étain, Peter Falkai, Tatiana Foroud, Andreas J Forstner, Louise Frisén, Mark A Frye, Janice M Fullerton, Sébastien Gard, Julie S Garnham, Elliot S Gershon, Fernando S Goes, Tiffany A Greenwood, Maria Grigoroiu-Serbanescu, Joanna Hauser, Urs Heilbronner, Stefanie Heilmann-Heimbach, Stefan Herms, Maria Hipolito, Shashi Hitturlingappa, Per Hoffmann, Andrea Hofmann, Stephane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, John R Kelsoe, Sarah Kittel-Schneider, Sebastian Kliwicki, Daniel L Koller, Barbara König, Nina Lackner, Gonzalo Laje, Maren Lang, Catharina Lavebratt, William B Lawson, Marion Leboyer, Susan G Leckband, Chunyu Liu, Anna Maaser, Pamela B Mahon, Wolfgang Maier, Mario Maj, Mirko Manchia, Lina Martinsson, Michael J McCarthy, Susan L McElroy, Melvin G McInnis, Rebecca McKinney, Philip B Mitchell, Marina Mitjans, Francis M Mondimore, Palmiero Monteleone, Thomas W Mühleisen, Caroline M Nievergelt, Markus M Nöthen, Tomas Novák, John I Nurnberger, Evaristus A Nwulia, Urban Ösby, Andrea Pfennig, James B Potash, Peter Propping, Andreas Reif, Eva Reininghaus, John Rice, Marcella Rietschel, Guy A Rouleau, Janusz K Rybakowski, Martin Schalling, William A Scheftner, Peter R Schofield, Nicholas J Schork, Thomas G Schulze, Johannes Schumacher, Barbara W Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D Shilling, Christian Simhandl, Claire M Slaney, Erin N Smith, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Fabian Streit, Jana Strohmaier, Szabolcs Szelinger, Sarah K Tighe, Alfonso Tortorella, Gustavo Turecki, Eduard Vieta, Julia Volkert, Stephanie H Witt, Adam Wright, Peter P Zandi, Peng Zhang, Sebastian Zollner, Francis J McMahon

Abstract

Bipolar disorder (BD) is a genetically complex mental illness characterized by severe oscillations of mood and behavior. Genome-wide association studies (GWAS) have identified several risk loci that together account for a small portion of the heritability. To identify additional risk loci, we performed a two-stage meta-analysis of >9 million genetic variants in 9,784 bipolar disorder patients and 30,471 controls, the largest GWAS of BD to date. In this study, to increase power we used ∼2,000 lithium-treated cases with a long-term diagnosis of BD from the Consortium on Lithium Genetics, excess controls, and analytic methods optimized for markers on the X-chromosome. In addition to four known loci, results revealed genome-wide significant associations at two novel loci: an intergenic region on 9p21.3 (rs12553324, p = 5.87 × 10(-9); odds ratio = 1.12) and markers within ERBB2 (rs2517959, p = 4.53 × 10(-9); odds ratio = 1.13). No significant X-chromosome associations were detected and X-linked markers explained very little BD heritability. The results add to a growing list of common autosomal variants involved in BD and illustrate the power of comparing well-characterized cases to an excess of controls in GWAS.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 256 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 1 <1%
Unknown 253 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 21%
Student > Ph. D. Student 30 12%
Student > Master 25 10%
Professor 19 7%
Student > Postgraduate 17 7%
Other 62 24%
Unknown 49 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 44 17%
Medicine and Dentistry 42 16%
Neuroscience 29 11%
Agricultural and Biological Sciences 27 11%
Psychology 15 6%
Other 23 9%
Unknown 76 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 August 2023.
All research outputs
#3,939,453
of 24,220,739 outputs
Outputs from Human Molecular Genetics
#1,756
of 8,161 outputs
Outputs of similar age
#67,437
of 359,647 outputs
Outputs of similar age from Human Molecular Genetics
#39
of 111 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,161 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 359,647 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 111 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 65% of its contemporaries.