Genome-wide association study identifies five new schizophrenia loci

Stephan Ripke, Alan R Sanders, Kenneth S Kendler, Douglas F Levinson, Pamela Sklar, Peter A Holmans, Dan-Yu Lin, Jubao Duan, Roel A Ophoff, Ole A Andreassen, Edward Scolnick, Sven Cichon, David St Clair, Aiden Corvin, Hugh Gurling, Thomas Werge, Dan Rujescu, Douglas H R Blackwood, Carlos N Pato, Anil K MalhotraShaun Purcell, Frank Dudbridge, Benjamin M Neale, Lizzy Rossin, Peter M Visscher, Danielle Posthuma, Douglas M Ruderfer, Ayman Fanous, Hreinn Stefansson, Stacy Steinberg, Bryan J Mowry, Vera Golimbet, Marc De Hert, Erik G Jönsson, István Bitter, Olli P H Pietiläinen, David A Collier, Anders Fink-Jensen, Birte Glenthøj, Andrés Ingason, Klaus D Jakobsen, Gesche Jürgens, Merete Nordentoft, Line Olsen, Henrik Berg Rasmussen, Johan H Thygesen, Sally Timm, August G. Wang, The Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium, Thomas Werge, Thomas F Hansen

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1487 Citations (Scopus)

Abstract

We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 × 10(-11)) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10(-9)), ANK3 (rs10994359, P = 2.5 × 10(-8)) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10(-9)).
Original languageEnglish
Pages (from-to)969-976
Number of pages8
JournalNature Genetics
Volume43
DOIs
Publication statusPublished - 18 Sep 2011

Keywords

  • bipolar disorders
  • disease genetics
  • genome-wide association studies
  • schizophrenia

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