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Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia

  • Zhiqiang Li
  • , Jianhua Chen
  • , Hao Yu
  • , Lin He
  • , Yifeng Xu
  • , Dai Zhang
  • , Qizhong Yi
  • , Changgui Li
  • , Xingwang Li
  • , Jiawei Shen
  • , Zhijian Song
  • , Weidong Ji
  • , Meng Wang
  • , Juan Zhou
  • , Boyu Chen
  • , Yahui Liu
  • , Jiqiang Wang
  • , Peng Wang
  • , Ping Yang
  • , Qingzhong Wang
  • Guoyin Feng, Benxiu Liu, Wensheng Sun, Baojie Li, Guang He, Weidong Li, Chunling Wan, Qi Xu, Wenjin Li, Zujia Wen, Ke Liu, Fang Huang, Jue Ji, Stephan Ripke, Weihua Yue, Patrick F. Sullivan, Michael C. O'Donovan, Yongyong Shi*
*Corresponding author for this work
  • Qingdao University
  • Shanghai Jiao Tong University
  • Tsinghua University
  • Peking University
  • Jining Medical College
  • Xinjiang Medical University
  • Changning Mental Health Center
  • Wuhu Fourth People's Hospital
  • Longquan Mountain Hospital of Guangxi Province
  • Chinese Academy of Medical Sciences
  • Massachusetts General Hospital
  • Broad Institute
  • Charité – Universitätsmedizin Berlin
  • University of North Carolina at Chapel Hill
  • Karolinska Institutet
  • Cardiff University

Research output: Contribution to journalArticlepeer-review

370 Citations (Scopus)

Abstract

We conducted a genome-wide association study (GWAS) with replication in 36,180 Chinese individuals and performed further transancestry meta-analyses with data from the Psychiatry Genomics Consortium (PGC2). Approximately 95% of the genome-wide significant (GWS) index alleles (or their proxies) from the PGC2 study were overrepresented in Chinese schizophrenia cases, including ∼50% that achieved nominal significance and ∼75% that continued to be GWS in the transancestry analysis. The Chinese-only analysis identified seven GWS loci; three of these also were GWS in the transancestry analyses, which identified 109 GWS loci, thus yielding a total of 113 GWS loci (30 novel) in at least one of these analyses. We observed improvements in the fine-mapping resolution at many susceptibility loci. Our results provide several lines of evidence supporting candidate genes at many loci and highlight some pathways for further research. Together, our findings provide novel insight into the genetic architecture and biological etiology of schizophrenia.

Original languageEnglish
Pages (from-to)1576-1583
Number of pages8
JournalNature Genetics
Volume49
Issue number11
DOIs
Publication statusPublished - 1 Nov 2017
Externally publishedYes

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