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Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
by
Li, Changgui
, Feng, Guoyin
, Wang, Meng
, Wang, Qingzhong
, Shi, Yongyong
, Shen, Jiawei
, Ji, Jue
, He, Lin
, Ripke, Stephan
, Li, Zhiqiang
, Wen, Zujia
, O'Donovan, Michael C
, Song, Zhijian
, Liu, Yahui
, Wang, Peng
, Li, Baojie
, Xu, Qi
, Yi, Qizhong
, Chen, Jianhua
, Chen, Boyu
, Yu, Hao
, Wan, Chunling
, Liu, Benxiu
, Sullivan, Patrick F
, Liu, Ke
, Xu, Yifeng
, Yang, Ping
, Zhang, Dai
, Li, Wenjin
, Zhou, Juan
, Li, Weidong
, Yue, Weihua
, Wang, Jiqiang
, Huang, Fang
, He, Guang
, Sun, Wensheng
, Li, Xingwang
, Ji, Weidong
in
45/43
/ 631/208/205/2138
/ 692/699/476/1799
/ Agriculture
/ Alleles
/ Animal Genetics and Genomics
/ Asian People
/ Association analysis
/ Biomedicine
/ Cancer Research
/ Chromosome Mapping
/ Consortia
/ Data processing
/ Diabetes
/ Etiology
/ Female
/ Gene Function
/ Gene mapping
/ Gene Regulatory Networks
/ Genetic aspects
/ Genetic Loci
/ Genetic Predisposition to Disease
/ Genome, Human
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ Genotypes
/ Health aspects
/ Human Genetics
/ Humans
/ Loci
/ Male
/ Mental disorders
/ Meta-analysis
/ Metabolism
/ Methods
/ Population
/ Protein Interaction Mapping
/ Psychiatry
/ Risk Assessment
/ Risk factors
/ Schizophrenia
/ Schizophrenia - ethnology
/ Schizophrenia - genetics
/ Schizophrenia - physiopathology
/ Studies
2017
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Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
by
Li, Changgui
, Feng, Guoyin
, Wang, Meng
, Wang, Qingzhong
, Shi, Yongyong
, Shen, Jiawei
, Ji, Jue
, He, Lin
, Ripke, Stephan
, Li, Zhiqiang
, Wen, Zujia
, O'Donovan, Michael C
, Song, Zhijian
, Liu, Yahui
, Wang, Peng
, Li, Baojie
, Xu, Qi
, Yi, Qizhong
, Chen, Jianhua
, Chen, Boyu
, Yu, Hao
, Wan, Chunling
, Liu, Benxiu
, Sullivan, Patrick F
, Liu, Ke
, Xu, Yifeng
, Yang, Ping
, Zhang, Dai
, Li, Wenjin
, Zhou, Juan
, Li, Weidong
, Yue, Weihua
, Wang, Jiqiang
, Huang, Fang
, He, Guang
, Sun, Wensheng
, Li, Xingwang
, Ji, Weidong
in
45/43
/ 631/208/205/2138
/ 692/699/476/1799
/ Agriculture
/ Alleles
/ Animal Genetics and Genomics
/ Asian People
/ Association analysis
/ Biomedicine
/ Cancer Research
/ Chromosome Mapping
/ Consortia
/ Data processing
/ Diabetes
/ Etiology
/ Female
/ Gene Function
/ Gene mapping
/ Gene Regulatory Networks
/ Genetic aspects
/ Genetic Loci
/ Genetic Predisposition to Disease
/ Genome, Human
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ Genotypes
/ Health aspects
/ Human Genetics
/ Humans
/ Loci
/ Male
/ Mental disorders
/ Meta-analysis
/ Metabolism
/ Methods
/ Population
/ Protein Interaction Mapping
/ Psychiatry
/ Risk Assessment
/ Risk factors
/ Schizophrenia
/ Schizophrenia - ethnology
/ Schizophrenia - genetics
/ Schizophrenia - physiopathology
/ Studies
2017
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Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
by
Li, Changgui
, Feng, Guoyin
, Wang, Meng
, Wang, Qingzhong
, Shi, Yongyong
, Shen, Jiawei
, Ji, Jue
, He, Lin
, Ripke, Stephan
, Li, Zhiqiang
, Wen, Zujia
, O'Donovan, Michael C
, Song, Zhijian
, Liu, Yahui
, Wang, Peng
, Li, Baojie
, Xu, Qi
, Yi, Qizhong
, Chen, Jianhua
, Chen, Boyu
, Yu, Hao
, Wan, Chunling
, Liu, Benxiu
, Sullivan, Patrick F
, Liu, Ke
, Xu, Yifeng
, Yang, Ping
, Zhang, Dai
, Li, Wenjin
, Zhou, Juan
, Li, Weidong
, Yue, Weihua
, Wang, Jiqiang
, Huang, Fang
, He, Guang
, Sun, Wensheng
, Li, Xingwang
, Ji, Weidong
in
45/43
/ 631/208/205/2138
/ 692/699/476/1799
/ Agriculture
/ Alleles
/ Animal Genetics and Genomics
/ Asian People
/ Association analysis
/ Biomedicine
/ Cancer Research
/ Chromosome Mapping
/ Consortia
/ Data processing
/ Diabetes
/ Etiology
/ Female
/ Gene Function
/ Gene mapping
/ Gene Regulatory Networks
/ Genetic aspects
/ Genetic Loci
/ Genetic Predisposition to Disease
/ Genome, Human
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ Genotypes
/ Health aspects
/ Human Genetics
/ Humans
/ Loci
/ Male
/ Mental disorders
/ Meta-analysis
/ Metabolism
/ Methods
/ Population
/ Protein Interaction Mapping
/ Psychiatry
/ Risk Assessment
/ Risk factors
/ Schizophrenia
/ Schizophrenia - ethnology
/ Schizophrenia - genetics
/ Schizophrenia - physiopathology
/ Studies
2017
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Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
Journal Article
Genome-wide association analysis identifies 30 new susceptibility loci for schizophrenia
2017
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Overview
A genome-wide association analysis using data from Chinese individuals combined with a transethnic meta-analysis of Psychiatry Genomics Consortium data identifies 30 new loci for schizophrenia. These analyses improve the fine-mapping of susceptibility loci and implicate multiple pathways in schizophrenia biology.
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.
Publisher
Nature Publishing Group US,Nature Publishing Group
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