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

Zhi-Qiang LiJianhua ChenHao YuLin HeYifeng XuDai ZhangQizhong YiChanggui LiXingwang LiJiawei ShenZhijian SongWeidong JiMeng WangJuan ZhouBoyu ChenYahui LiuJiqiang WangPeng WangPing YangQingzhong WangGuoyin FengBenxiu LiuWensheng SunBaojie LiGuang HeWeidong LiChunling WanQi XuWenjin LiZujia WenKe LiuFang HuangJue JiStephan RipkeWeihua YuePatrick F SullivanMichael C O'DonovanYong-Yong Shi
Published in: Nature genetics (2017)
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.
Keyphrases
  • genome wide
  • genome wide association study
  • genome wide association
  • dna methylation
  • bipolar disorder
  • copy number
  • skeletal muscle
  • high resolution
  • big data
  • meta analyses
  • air pollution
  • data analysis