Ontology highlight
ABSTRACT:
SUBMITTER: Li M
PROVIDER: S-EPMC4829352 | biostudies-literature | 2016 Feb
REPOSITORIES: biostudies-literature

Li Ming M Luo Xiong-jian XJ Landén Mikael M Bergen Sarah E SE Hultman Christina M CM Li Xiao X Zhang Wen W Yao Yong-Gang YG Zhang Chen C Liu Jiewei J Mattheisen Manuel M Cichon Sven S Mühleisen Thomas W TW Degenhardt Franziska A FA Nöthen Markus M MM Schulze Thomas G TG Grigoroiu-Serbanescu Maria M Li Hao H Fuller Chris K CK Chen Chunhui C Dong Qi Q Chen Chuansheng C Jamain Stéphane S Leboyer Marion M Bellivier Frank F Etain Bruno B Kahn Jean-Pierre JP Henry Chantal C Preisig Martin M Kutalik Zoltán Z Castelao Enrique E Wright Adam A Mitchell Philip B PB Fullerton Janice M JM Schofield Peter R PR Montgomery Grant W GW Medland Sarah E SE Gordon Scott D SD Martin Nicholas G NG Rietschel Marcella M Liu Chunyu C Kleinman Joel E JE Hyde Thomas M TM Weinberger Daniel R DR Su Bing B
The British journal of psychiatry : the journal of mental science 20150903 2
<h4>Background</h4>Bipolar disorder is a highly heritable polygenic disorder. Recent enrichment analyses suggest that there may be true risk variants for bipolar disorder in the expression quantitative trait loci (eQTL) in the brain.<h4>Aims</h4>We sought to assess the impact of eQTL variants on bipolar disorder risk by combining data from both bipolar disorder genome-wide association studies (GWAS) and brain eQTL.<h4>Method</h4>To detect single nucleotide polymorphisms (SNPs) that influence exp ...[more]