Ontology highlight
ABSTRACT:
SUBMITTER: Guha S
PROVIDER: S-EPMC3750982 | biostudies-literature | 2013 Mar
REPOSITORIES: biostudies-literature
Guha Saurav S Rees Elliott E Darvasi Ariel A Ivanov Dobril D Ikeda Masashi M Bergen Sarah E SE Magnusson Patrik K PK Cormican Paul P Morris Derek D Gill Michael M Cichon Sven S Rosenfeld Jeffrey A JA Lee Annette A Gregersen Peter K PK Kane John M JM Malhotra Anil K AK Rietschel Marcella M Nöthen Markus M MM Degenhardt Franziska F Priebe Lutz L Breuer René R Strohmaier Jana J Ruderfer Douglas M DM Moran Jennifer L JL Chambert Kimberly D KD Sanders Alan R AR Shi Jianxin J Kendler Kenneth K Riley Brien B O'Neill Tony T Walsh Dermot D Malhotra Dheeraj D Corvin Aiden A Purcell Shaun S Sklar Pamela P Iwata Nakao N Hultman Christina M CM Sullivan Patrick F PF Sebat Jonathan J McCarthy Shane S Gejman Pablo V PV Levinson Douglas F DF Owen Michael J MJ O'Donovan Michael C MC Lencz Todd T Kirov George G
JAMA psychiatry 20130301 3
<h4>Context</h4>Large genomic copy number variations have been implicated as strong risk factors for schizophrenia. However, the rarity of these events has created challenges for the identification of further pathogenic loci, and extremely large samples are required to provide convincing replication.<h4>Objective</h4>To detect novel copy number variations that increase the susceptibility to schizophrenia by using 2 ethnically homogeneous discovery cohorts and replication in large samples.<h4>Des ...[more]