IMPORTANCE: Schizophrenia (SCZ) is a devastating psychiatric condition. Identifying the specific genetic variants and pathways that increase susceptibility to SCZ is critical to improve disease understanding and address the urgent need for new drug targets. OBJECTIVE: To identify SCZ susceptibility genes. DESIGN: We integrated results from a meta-analysis of 18 genome-wide association studies (GWAS) involving 1,085,772 single-nucleotide polymorphisms (SNPs) and 6 databases that showed significant informativeness for SCZ. The 9380 most promising SNPs were then specifically genotyped in an independent family-based replication study that, after quality control, consisted of 8107 SNPs. SETTING: Linkage meta-analysis, brain transcriptome meta-analysis, candidate gene database, OMIM, relevant mouse studies, and expression quantitative trait locus databases. PATIENTS: We included 11,185 cases and 10,768 control subjects from 6 databases and, after quality control 6298 individuals (including 3286 cases) from 1811 nuclear families. MAIN OUTCOMES AND MEASURES: Case-control status for SCZ. RESULTS: Replication results showed a highly significant enrichment of SNPs with small P values. Of the SNPs with replication values of P.01, the proportion of SNPs that had the same direction of effects as in the GWAS meta-analysis was 89% in the combined ancestry group (sign test, P < 2.20 x 10(-16) and 93% in subjects of European ancestry only (P < 2.20 < 10(-16)). Our results supported the major histocompatibility complex region showing a3.7-fold overall enrichment of replication values of P < .01 in subjects from European ancestry. We replicated SNPs in TCF4 (P = 2.53 x 10(-10)) and NOTCH4 (P = 3.16 x 10(-7)) that are among the most robust SCZ findings. More novel findings included POM121L2 (P = 3.51 x 10(-7)), AS3MT (P = 9.01 x 10(-7)), CNNM2 (P = 6.07 = 10(-7)), and NT5C2(P = 4.09 x 10(-7)). To explore the many small effects, we performed pathway analyses. The most significant pathways involved neuronal function (axonal guidance, neuronal systems, and L1 cell adhesion molecule interaction)and the immune system (antigen processing, cell adhesion molecules relevant to T cells, and translocation to immunological synapse). CONCLUSIONS AND RELEVANCE: We replicated novel SCZ disease genes and pathogenic pathways. Better understanding the molecular and biological mechanisms involved with schizophrenia may improve disease management and may identify new drug targets.
IMPORTANCE: Schizophrenia (SCZ) is a devastating psychiatric condition. Identifying the specific genetic variants and pathways that increase susceptibility to SCZ is critical to improve disease understanding and address the urgent need for new drug targets. OBJECTIVE: To identify SCZ susceptibility genes. DESIGN: We integrated results from a meta-analysis of 18 genome-wide association studies (GWAS) involving 1,085,772 single-nucleotide polymorphisms (SNPs) and 6 databases that showed significant informativeness for SCZ. The 9380 most promising SNPs were then specifically genotyped in an independent family-based replication study that, after quality control, consisted of 8107 SNPs. SETTING: Linkage meta-analysis, brain transcriptome meta-analysis, candidate gene database, OMIM, relevant mouse studies, and expression quantitative trait locus databases. PATIENTS: We included 11,185 cases and 10,768 control subjects from 6 databases and, after quality control 6298 individuals (including 3286 cases) from 1811 nuclear families. MAIN OUTCOMES AND MEASURES: Case-control status for SCZ. RESULTS: Replication results showed a highly significant enrichment of SNPs with small P values. Of the SNPs with replication values of P.01, the proportion of SNPs that had the same direction of effects as in the GWAS meta-analysis was 89% in the combined ancestry group (sign test, P < 2.20 x 10(-16) and 93% in subjects of European ancestry only (P < 2.20 < 10(-16)). Our results supported the major histocompatibility complex region showing a3.7-fold overall enrichment of replication values of P < .01 in subjects from European ancestry. We replicated SNPs in TCF4 (P = 2.53 x 10(-10)) and NOTCH4 (P = 3.16 x 10(-7)) that are among the most robust SCZ findings. More novel findings included POM121L2 (P = 3.51 x 10(-7)), AS3MT (P = 9.01 x 10(-7)), CNNM2 (P = 6.07 = 10(-7)), and NT5C2(P = 4.09 x 10(-7)). To explore the many small effects, we performed pathway analyses. The most significant pathways involved neuronal function (axonal guidance, neuronal systems, and L1 cell adhesion molecule interaction)and the immune system (antigen processing, cell adhesion molecules relevant to T cells, and translocation to immunological synapse). CONCLUSIONS AND RELEVANCE: We replicated novel SCZ disease genes and pathogenic pathways. Better understanding the molecular and biological mechanisms involved with schizophrenia may improve disease management and may identify new drug targets.
Authors: Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich Journal: Nat Genet Date: 2006-07-23 Impact factor: 38.330
Authors: Nicole C Allen; Sachin Bagade; Matthew B McQueen; John P A Ioannidis; Fotini K Kavvoura; Muin J Khoury; Rudolph E Tanzi; Lars Bertram Journal: Nat Genet Date: 2008-07 Impact factor: 38.330
Authors: Jianxin Shi; Douglas F Levinson; Jubao Duan; Alan R Sanders; Yonglan Zheng; Itsik Pe'er; Frank Dudbridge; Peter A Holmans; Alice S Whittemore; Bryan J Mowry; Ann Olincy; Farooq Amin; C Robert Cloninger; Jeremy M Silverman; Nancy G Buccola; William F Byerley; Donald W Black; Raymond R Crowe; Jorge R Oksenberg; Daniel B Mirel; Kenneth S Kendler; Robert Freedman; Pablo V Gejman Journal: Nature Date: 2009-07-01 Impact factor: 49.962
Authors: S Hong Lee; Teresa R DeCandia; Stephan Ripke; Jian Yang; Patrick F Sullivan; Michael E Goddard; Matthew C Keller; Peter M Visscher; Naomi R Wray Journal: Nat Genet Date: 2012-02-19 Impact factor: 38.330
Authors: M Y M Ng; D F Levinson; S V Faraone; B K Suarez; L E DeLisi; T Arinami; B Riley; T Paunio; A E Pulver; P A Holmans; M Escamilla; D B Wildenauer; N M Williams; C Laurent; B J Mowry; L M Brzustowicz; M Maziade; P Sklar; D L Garver; G R Abecasis; B Lerer; M D Fallin; H M D Gurling; P V Gejman; E Lindholm; H W Moises; W Byerley; E M Wijsman; P Forabosco; M T Tsuang; H-G Hwu; Y Okazaki; K S Kendler; B Wormley; A Fanous; D Walsh; F A O'Neill; L Peltonen; G Nestadt; V K Lasseter; K Y Liang; G M Papadimitriou; D G Dikeos; S G Schwab; M J Owen; M C O'Donovan; N Norton; E Hare; H Raventos; H Nicolini; M Albus; W Maier; V L Nimgaonkar; L Terenius; J Mallet; M Jay; S Godard; D Nertney; M Alexander; R R Crowe; J M Silverman; A S Bassett; M-A Roy; C Mérette; C N Pato; M T Pato; J Louw Roos; Y Kohn; D Amann-Zalcenstein; G Kalsi; A McQuillin; D Curtis; J Brynjolfson; T Sigmundsson; H Petursson; A R Sanders; J Duan; E Jazin; M Myles-Worsley; M Karayiorgou; C M Lewis Journal: Mol Psychiatry Date: 2008-12-30 Impact factor: 15.992
Authors: Alexis C Edwards; Tim B Bigdeli; Anna R Docherty; Silviu Bacanu; Donghyung Lee; Teresa R de Candia; Arden Moscati; Dawn L Thiselton; Brion S Maher; Brandon K Wormley; Dermot Walsh; Francis A O'Neill; Kenneth S Kendler; Brien P Riley; Ayman H Fanous Journal: Schizophr Bull Date: 2015-08-27 Impact factor: 9.306
Authors: Daniel Fritzen; Alma Kuechler; Mona Grimmel; Jessica Becker; Sophia Peters; Marc Sturm; Hela Hundertmark; Axel Schmidt; Martina Kreiß; Tim M Strom; Dagmar Wieczorek; Tobias B Haack; Stefanie Beck-Wödl; Kirsten Cremer; Hartmut Engels Journal: Hum Genet Date: 2018-05-23 Impact factor: 4.132
Authors: H Yu; H Yan; J Li; Z Li; X Zhang; Y Ma; L Mei; C Liu; L Cai; Q Wang; F Zhang; N Iwata; M Ikeda; L Wang; T Lu; M Li; H Xu; X Wu; B Liu; J Yang; K Li; L Lv; X Ma; C Wang; L Li; F Yang; T Jiang; Y Shi; T Li; D Zhang; W Yue Journal: Mol Psychiatry Date: 2016-12-06 Impact factor: 15.992
Authors: Hanzhang Xia; Fay M Jahr; Nak-Kyeong Kim; Linying Xie; Andrey A Shabalin; Julien Bryois; Douglas H Sweet; Mohamad M Kronfol; Preetha Palasuberniam; MaryPeace McRae; Brien P Riley; Patrick F Sullivan; Edwin J van den Oord; Joseph L McClay Journal: Hum Mol Genet Date: 2018-09-15 Impact factor: 6.150
Authors: Q Xu; X Wu; M Li; H Huang; C Minica; Z Yi; G Wang; L Shen; Q Xing; Y Shi; L He; S Qin Journal: Pharmacogenomics J Date: 2015-08-18 Impact factor: 3.550