Journal article
The schizophrenia genetics knowledgebase: a comprehensive update of findings from candidate gene studies
Chenxing Liu, Tetsufumi Kanazawa, Ye Tian, Suriati Mohamed Saini, Serafino Mancuso, Md Shaki Mostaid, Atsushi Takahashi, Dai Zhang, Fuquan Zhang, Hao Yu, Hyoung Doo Shin, Hyun Sub Cheong, Masashi Ikeda, Michiaki Kubo, Nakao Iwata, Sung-Il Woo, Weihua Yue, Yoichiro Kamatani, Yongyong Shi, Zhiqiang Li Show all
TRANSLATIONAL PSYCHIATRY | NATURE PUBLISHING GROUP | Published : 2019
Abstract
Over 3000 candidate gene association studies have been performed to elucidate the genetic underpinnings of schizophrenia. However, a comprehensive evaluation of these studies' findings has not been undertaken since the decommissioning of the schizophrenia gene (SzGene) database in 2011. As such, we systematically identified and carried out random-effects meta-analyses for all polymorphisms with four or more independent studies in schizophrenia along with a series of expanded meta-analyses incorporating published and unpublished genome-wide association (GWA) study data. Based on 550 meta-analyses, 11 SNPs in eight linkage disequilibrium (LD) independent loci showed Bonferroni-significant asso..
View full abstractGrants
Awarded by National Key R&D Program of China
Awarded by National Natural Science Foundation of China
Awarded by 973 Program
Awarded by Natural Science Foundation of China
Awarded by Program of Shanghai Subject Chief Scientist
Awarded by 'Shu Guang' project - Shanghai Municipal Education Commission
Awarded by Shanghai Education Development Foundation
Awarded by Primary Research & Development Plan of Jiangsu Province
Awarded by Korea Healthcare technology R&D Project, Ministry of Health & Welfare, Republic of Korea
Awarded by NHMRC Senior Principal Research Fellowship
Funding Acknowledgements
We express our gratitude to all of participants involved in the study. We acknowledge the SzGene study for their database of genetic association studies in schizophrenia. We would also like to acknowledge the Psychiatric GWAS Consortium (PGC) for making their valuable results publicly available. The Chinese GWAS set 1 was supported by grants from the National Key R&D Program of China (2016YFC1307000), the National Natural Science Foundation of China (91432304, 81571313). The Chinese GWAS set 2 was supported by grants from the 973 Program (2015CB559100), the National Key R&D Program of China (2016YFC0903402), the Natural Science Foundation of China (31325014, 81421061, 81130022, 81701321, 31770800 and 81571329), the Program of Shanghai Subject Chief Scientist (15XD1502200), the National Program for Support of Top-Notch Young Professionals to Y.S., the 'Shu Guang' project supported by the Shanghai Municipal Education Commission and Shanghai Education Development Foundation (12SG17 to Y.S.). The Chinese GWAS set 3 was supported by grants from the Primary Research & Development Plan of Jiangsu Province (BE2016630). The Korean GWAS set was supported by grant of the Korea Healthcare technology R&D Project, Ministry of Health & Welfare, Republic of Korea (no. A101023). C.P. was supported by a NHMRC Senior Principal Research Fellowship (1105825). C.B. was supported by the Alberta Children's Research Institute and Cumming School of Medicine, University of Calgary.