Title |
Collaborative genome-wide association analysis supports a role for ANK3 and CACNA1C in bipolar disorder
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Published in |
Nature Genetics, August 2008
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DOI | 10.1038/ng.209 |
Pubmed ID | |
Authors |
Manuel A R Ferreira, Michael C O'Donovan, Yan A Meng, Ian R Jones, Douglas M Ruderfer, Lisa Jones, Jinbo Fan, George Kirov, Roy H Perlis, Elaine K Green, Jordan W Smoller, Detelina Grozeva, Jennifer Stone, Ivan Nikolov, Kimberly Chambert, Marian L Hamshere, Vishwajit L Nimgaonkar, Valentina Moskvina, Michael E Thase, Sian Caesar, Gary S Sachs, Jennifer Franklin, Katherine Gordon-Smith, Kristin G Ardlie, Stacey B Gabriel, Christine Fraser, Brendan Blumenstiel, Matthew Defelice, Gerome Breen, Michael Gill, Derek W Morris, Amanda Elkin, Walter J Muir, Kevin A McGhee, Richard Williamson, Donald J MacIntyre, Alan W MacLean, David St Clair, Michelle Robinson, Margaret Van Beck, Ana C P Pereira, Radhika Kandaswamy, Andrew McQuillin, David A Collier, Nicholas J Bass, Allan H Young, Jacob Lawrence, I Nicol Ferrier, Adebayo Anjorin, Anne Farmer, David Curtis, Edward M Scolnick, Peter McGuffin, Mark J Daly, Aiden P Corvin, Peter A Holmans, Douglas H Blackwood, Hugh M Gurling, Michael J Owen, Shaun M Purcell, Pamela Sklar, Nick Craddock |
Abstract |
To identify susceptibility loci for bipolar disorder, we tested 1.8 million variants in 4,387 cases and 6,209 controls and identified a region of strong association (rs10994336, P = 9.1 x 10(-9)) in ANK3 (ankyrin G). We also found further support for the previously reported CACNA1C (alpha 1C subunit of the L-type voltage-gated calcium channel; combined P = 7.0 x 10(-8), rs1006737). Our results suggest that ion channelopathies may be involved in the pathogenesis of bipolar disorder. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
United Kingdom | 7 | 1% |
Brazil | 4 | <1% |
Germany | 2 | <1% |
Switzerland | 2 | <1% |
Italy | 2 | <1% |
Canada | 2 | <1% |
Netherlands | 2 | <1% |
France | 1 | <1% |
Other | 4 | <1% |
Unknown | 656 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 124 | 18% |
Student > Bachelor | 106 | 15% |
Student > Ph. D. Student | 103 | 15% |
Student > Master | 75 | 11% |
Professor > Associate Professor | 48 | 7% |
Other | 138 | 20% |
Unknown | 101 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 182 | 26% |
Medicine and Dentistry | 129 | 19% |
Biochemistry, Genetics and Molecular Biology | 86 | 12% |
Neuroscience | 69 | 10% |
Psychology | 53 | 8% |
Other | 44 | 6% |
Unknown | 132 | 19% |