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Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Overview of attention for article published in Nature Genetics, November 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Citations

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445 Dimensions

Readers on

mendeley
614 Mendeley
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2 CiteULike
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Title
Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects
Published in
Nature Genetics, November 2016
DOI 10.1038/ng.3725
Pubmed ID
Authors

Christian R Marshall, Daniel P Howrigan, Daniele Merico, Bhooma Thiruvahindrapuram, Wenting Wu, Douglas S Greer, Danny Antaki, Aniket Shetty, Peter A Holmans, Dalila Pinto, Madhusudan Gujral, William M Brandler, Dheeraj Malhotra, Zhouzhi Wang, Karin V Fuentes Fajarado, Michelle S Maile, Stephan Ripke, Ingrid Agartz, Margot Albus, Madeline Alexander, Farooq Amin, Joshua Atkins, Silviu A Bacanu, Richard A Belliveau, Sarah E Bergen, Marcelo Bertalan, Elizabeth Bevilacqua, Tim B Bigdeli, Donald W Black, Richard Bruggeman, Nancy G Buccola, Randy L Buckner, Brendan Bulik-Sullivan, William Byerley, Wiepke Cahn, Guiqing Cai, Murray J Cairns, Dominique Campion, Rita M Cantor, Vaughan J Carr, Noa Carrera, Stanley V Catts, Kimberley D Chambert, Wei Cheng, C Robert Cloninger, David Cohen, Paul Cormican, Nick Craddock, Benedicto Crespo-Facorro, James J Crowley, David Curtis, Michael Davidson, Kenneth L Davis, Franziska Degenhardt, Jurgen Del Favero, Lynn E DeLisi, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H Fanous, Kai-How Farh, Martilias S Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B Freimer, Joseph I Friedman, Andreas J Forstner, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Elliot S Gershon, Ina Giegling, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I Goldstein, Jacob Gratten, Lieuwe de Haan, Marian L Hamshere, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Annette M Hartmann, Frans A Henskens, Stefan Herms, Joel N Hirschhorn, Per Hoffmann, Andrea Hofman, Hailiang Huang, Masashi Ikeda, Inge Joa, Anna K Kähler, René S Kahn, Luba Kalaydjieva, Juha Karjalainen, David Kavanagh, Matthew C Keller, Brian J Kelly, James L Kennedy, Yunjung Kim, James A Knowles, Bettina Konte, Claudine Laurent, Phil Lee, S Hong Lee, Sophie E Legge, Bernard Lerer, Deborah L Levy, Kung-Yee Liang, Jeffrey Lieberman, Jouko Lönnqvist, Carmel M Loughland, Patrik K E Magnusson, Brion S Maher, Wolfgang Maier, Jacques Mallet, Manuel Mattheisen, Morten Mattingsdal, Robert W McCarley, Colm McDonald, Andrew M McIntosh, Sandra Meier, Carin J Meijer, Ingrid Melle, Raquelle I Mesholam-Gately, Andres Metspalu, Patricia T Michie, Lili Milani, Vihra Milanova, Younes Mokrab, Derek W Morris, Bertram Müller-Myhsok, Kieran C Murphy, Robin M Murray, Inez Myin-Germeys, Igor Nenadic, Deborah A Nertney, Gerald Nestadt, Kristin K Nicodemus, Laura Nisenbaum, Annelie Nordin, Eadbhard O'Callaghan, Colm O'Dushlaine, Sang-Yun Oh, Ann Olincy, Line Olsen, F Anthony O'Neill, Jim Van Os, Christos Pantelis, George N Papadimitriou, Elena Parkhomenko, Michele T Pato, Tiina Paunio, Diana O Perkins, Tune H Pers, Olli Pietiläinen, Jonathan Pimm, Andrew J Pocklington, John Powell, Alkes Price, Ann E Pulver, Shaun M Purcell, Digby Quested, Henrik B Rasmussen, Abraham Reichenberg, Mark A Reimers, Alexander L Richards, Joshua L Roffman, Panos Roussos, Douglas M Ruderfer, Veikko Salomaa, Alan R Sanders, Adam Savitz, Ulrich Schall, Thomas G Schulze, Sibylle G Schwab, Edward M Scolnick, Rodney J Scott, Larry J Seidman, Jianxin Shi, Jeremy M Silverman, Jordan W Smoller, Erik Söderman, Chris C A Spencer, Eli A Stahl, Eric Strengman, Jana Strohmaier, T Scott Stroup, Jaana Suvisaari, Dragan M Svrakic, Jin P Szatkiewicz, Srinivas Thirumalai, Paul A Tooney, Juha Veijola, Peter M Visscher, John Waddington, Dermot Walsh, Bradley T Webb, Mark Weiser, Dieter B Wildenauer, Nigel M Williams, Stephanie Williams, Stephanie H Witt, Aaron R Wolen, Brandon K Wormley, Naomi R Wray, Jing Qin Wu, Clement C Zai, Rolf Adolfsson, Ole A Andreassen, Douglas H R Blackwood, Elvira Bramon, Joseph D Buxbaum, Sven Cichon, David A Collier, Aiden Corvin, Mark J Daly, Ariel Darvasi, Enrico Domenici, Tõnu Esko, Pablo V Gejman, Michael Gill, Hugh Gurling, Christina M Hultman, Nakao Iwata, Assen V Jablensky, Erik G Jönsson, Kenneth S Kendler, George Kirov, Jo Knight, Douglas F Levinson, Qingqin S Li, Steven A McCarroll, Andrew McQuillin, Jennifer L Moran, Bryan J Mowry, Markus M Nöthen, Roel A Ophoff, Michael J Owen, Aarno Palotie, Carlos N Pato, Tracey L Petryshen, Danielle Posthuma, Marcella Rietschel, Brien P Riley, Dan Rujescu, Pamela Sklar, David St Clair, James T R Walters, Thomas Werge, Patrick F Sullivan, Michael C O'Donovan, Stephen W Scherer, Benjamin M Neale, Jonathan Sebat

Abstract

Copy number variants (CNVs) have been strongly implicated in the genetic etiology of schizophrenia (SCZ). However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to address this obstacle by applying a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. A global enrichment of CNV burden was observed in cases (odds ratio (OR) = 1.11, P = 5.7 × 10(-15)), which persisted after excluding loci implicated in previous studies (OR = 1.07, P = 1.7 × 10(-6)). CNV burden was enriched for genes associated with synaptic function (OR = 1.68, P = 2.8 × 10(-11)) and neurobehavioral phenotypes in mouse (OR = 1.18, P = 7.3 × 10(-5)). Genome-wide significant evidence was obtained for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by nonallelic homologous recombination.

Twitter Demographics

The data shown below were collected from the profiles of 162 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 614 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
United Kingdom 1 <1%
Russia 1 <1%
Greece 1 <1%
United States 1 <1%
Unknown 609 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 113 18%
Researcher 94 15%
Student > Bachelor 79 13%
Student > Master 67 11%
Student > Doctoral Student 44 7%
Other 115 19%
Unknown 102 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 117 19%
Agricultural and Biological Sciences 96 16%
Medicine and Dentistry 91 15%
Neuroscience 82 13%
Psychology 29 5%
Other 65 11%
Unknown 134 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 263. 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 21 September 2020.
All research outputs
#69,160
of 16,651,634 outputs
Outputs from Nature Genetics
#128
of 6,543 outputs
Outputs of similar age
#2,871
of 394,396 outputs
Outputs of similar age from Nature Genetics
#6
of 74 outputs
Altmetric has tracked 16,651,634 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.1. This one has done particularly well, scoring higher than 98% 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 394,396 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.