Title |
Identification of loci associated with schizophrenia by genome-wide association and follow-up
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Published in |
Nature Genetics, July 2008
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DOI | 10.1038/ng.201 |
Pubmed ID | |
Authors |
Michael C O'Donovan, Nicholas Craddock, Nadine Norton, Hywel Williams, Timothy Peirce, Valentina Moskvina, Ivan Nikolov, Marian Hamshere, Liam Carroll, Lyudmila Georgieva, Sarah Dwyer, Peter Holmans, Jonathan L Marchini, Chris C A Spencer, Bryan Howie, Hin-Tak Leung, Annette M Hartmann, Hans-Jürgen Möller, Derek W Morris, YongYong Shi, GuoYin Feng, Per Hoffmann, Peter Propping, Catalina Vasilescu, Wolfgang Maier, Marcella Rietschel, Stanley Zammit, Johannes Schumacher, Emma M Quinn, Thomas G Schulze, Nigel M Williams, Ina Giegling, Nakao Iwata, Masashi Ikeda, Ariel Darvasi, Sagiv Shifman, Lin He, Jubao Duan, Alan R Sanders, Douglas F Levinson, Pablo V Gejman, Sven Cichon, Markus M Nöthen, Michael Gill, Aiden Corvin, Dan Rujescu, George Kirov, Michael J Owen |
Abstract |
We carried out a genome-wide association study of schizophrenia (479 cases, 2,937 controls) and tested loci with P < 10(-5) in up to 16,726 additional subjects. Of 12 loci followed up, 3 had strong independent support (P < 5 x 10(-4)), and the overall pattern of replication was unlikely to occur by chance (P = 9 x 10(-8)). Meta-analysis provided strongest evidence for association around ZNF804A (P = 1.61 x 10(-7)) and this strengthened when the affected phenotype included bipolar disorder (P = 9.96 x 10(-9)). |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 2% |
United Kingdom | 12 | 2% |
Germany | 6 | <1% |
France | 2 | <1% |
Brazil | 2 | <1% |
Netherlands | 1 | <1% |
Ireland | 1 | <1% |
Switzerland | 1 | <1% |
Hungary | 1 | <1% |
Other | 6 | <1% |
Unknown | 580 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 128 | 21% |
Researcher | 107 | 17% |
Student > Bachelor | 75 | 12% |
Student > Master | 57 | 9% |
Professor > Associate Professor | 47 | 8% |
Other | 127 | 20% |
Unknown | 83 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 181 | 29% |
Medicine and Dentistry | 106 | 17% |
Biochemistry, Genetics and Molecular Biology | 65 | 10% |
Neuroscience | 65 | 10% |
Psychology | 57 | 9% |
Other | 49 | 8% |
Unknown | 101 | 16% |