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Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia

BACKGROUND: Over 200 schizophrenia risk loci have been identified by genome-wide association studies (GWASs). However, the majority of risk loci were identified in populations of European ancestry (EUR), potentially missing important biological insights. It is important to perform 5 GWASs in non-Eur...

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Autores principales: Liu, Jiewei, Li, Shiwu, Li, Xiaoyan, Li, Wenqiang, Yang, Yongfeng, Guo, Suqin, Lv, Luxian, Xiao, Xiao, Yao, Yong-Gang, Guan, Fanglin, Li, Ming, Luo, Xiong-Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359304/
https://www.ncbi.nlm.nih.gov/pubmed/34380480
http://dx.doi.org/10.1186/s12916-021-02039-9
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author Liu, Jiewei
Li, Shiwu
Li, Xiaoyan
Li, Wenqiang
Yang, Yongfeng
Guo, Suqin
Lv, Luxian
Xiao, Xiao
Yao, Yong-Gang
Guan, Fanglin
Li, Ming
Luo, Xiong-Jian
author_facet Liu, Jiewei
Li, Shiwu
Li, Xiaoyan
Li, Wenqiang
Yang, Yongfeng
Guo, Suqin
Lv, Luxian
Xiao, Xiao
Yao, Yong-Gang
Guan, Fanglin
Li, Ming
Luo, Xiong-Jian
author_sort Liu, Jiewei
collection PubMed
description BACKGROUND: Over 200 schizophrenia risk loci have been identified by genome-wide association studies (GWASs). However, the majority of risk loci were identified in populations of European ancestry (EUR), potentially missing important biological insights. It is important to perform 5 GWASs in non-European populations. METHODS: To identify novel schizophrenia risk loci, we conducted a GWAS in Han Chinese population (3493 cases and 4709 controls). We then performed a large-scale meta-analysis (a total of 143,438 subjects) through combining our results with previous GWASs conducted in EAS and EUR. In addition, we also carried out comprehensive post-GWAS analysis, including heritability partitioning, enrichment of schizophrenia associations in tissues and cell types, trancscriptome-wide association study (TWAS), expression quantitative trait loci (eQTL) and differential expression analysis. RESULTS: We identified two new schizophrenia risk loci, including associations in SHISA9 (rs7192086, P = 4.92 × 10(-08)) and PES1 (rs57016637, P = 2.33 × 10(−11)) in Han Chinese population. A fixed-effect meta-analysis (a total of 143,438 subjects) with summary statistics from EAS and EUR identifies 15 novel genome-wide significant risk loci. Heritability partitioning with linkage disequilibrium score regression (LDSC) reveals a significant enrichment of schizophrenia heritability in conserved genomic regions, promoters, and enhancers. Tissue and cell-type enrichment analyses show that schizophrenia associations are significantly enriched in human brain tissues and several types of neurons, including cerebellum neurons, telencephalon inhibitory, and excitatory neurons. Polygenic risk score profiling reveals that GWAS summary statistics from trans-ancestry meta-analysis (EAS + EUR) improves prediction performance in predicting the case/control status of our sample. Finally, transcriptome-wide association study (TWAS) identifies risk genes whose cis-regulated expression change may have a role in schizophrenia. CONCLUSIONS: Our study identifies 17 novel schizophrenia risk loci and highlights the importance and necessity of conducting genetic study in different populations. These findings not only provide new insights into genetic etiology of schizophrenia, but also facilitate to delineate the pathophysiology of schizophrenia and develop new therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02039-9.
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spelling pubmed-83593042021-08-16 Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia Liu, Jiewei Li, Shiwu Li, Xiaoyan Li, Wenqiang Yang, Yongfeng Guo, Suqin Lv, Luxian Xiao, Xiao Yao, Yong-Gang Guan, Fanglin Li, Ming Luo, Xiong-Jian BMC Med Research Article BACKGROUND: Over 200 schizophrenia risk loci have been identified by genome-wide association studies (GWASs). However, the majority of risk loci were identified in populations of European ancestry (EUR), potentially missing important biological insights. It is important to perform 5 GWASs in non-European populations. METHODS: To identify novel schizophrenia risk loci, we conducted a GWAS in Han Chinese population (3493 cases and 4709 controls). We then performed a large-scale meta-analysis (a total of 143,438 subjects) through combining our results with previous GWASs conducted in EAS and EUR. In addition, we also carried out comprehensive post-GWAS analysis, including heritability partitioning, enrichment of schizophrenia associations in tissues and cell types, trancscriptome-wide association study (TWAS), expression quantitative trait loci (eQTL) and differential expression analysis. RESULTS: We identified two new schizophrenia risk loci, including associations in SHISA9 (rs7192086, P = 4.92 × 10(-08)) and PES1 (rs57016637, P = 2.33 × 10(−11)) in Han Chinese population. A fixed-effect meta-analysis (a total of 143,438 subjects) with summary statistics from EAS and EUR identifies 15 novel genome-wide significant risk loci. Heritability partitioning with linkage disequilibrium score regression (LDSC) reveals a significant enrichment of schizophrenia heritability in conserved genomic regions, promoters, and enhancers. Tissue and cell-type enrichment analyses show that schizophrenia associations are significantly enriched in human brain tissues and several types of neurons, including cerebellum neurons, telencephalon inhibitory, and excitatory neurons. Polygenic risk score profiling reveals that GWAS summary statistics from trans-ancestry meta-analysis (EAS + EUR) improves prediction performance in predicting the case/control status of our sample. Finally, transcriptome-wide association study (TWAS) identifies risk genes whose cis-regulated expression change may have a role in schizophrenia. CONCLUSIONS: Our study identifies 17 novel schizophrenia risk loci and highlights the importance and necessity of conducting genetic study in different populations. These findings not only provide new insights into genetic etiology of schizophrenia, but also facilitate to delineate the pathophysiology of schizophrenia and develop new therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02039-9. BioMed Central 2021-08-12 /pmc/articles/PMC8359304/ /pubmed/34380480 http://dx.doi.org/10.1186/s12916-021-02039-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Jiewei
Li, Shiwu
Li, Xiaoyan
Li, Wenqiang
Yang, Yongfeng
Guo, Suqin
Lv, Luxian
Xiao, Xiao
Yao, Yong-Gang
Guan, Fanglin
Li, Ming
Luo, Xiong-Jian
Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
title Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
title_full Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
title_fullStr Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
title_full_unstemmed Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
title_short Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
title_sort genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8359304/
https://www.ncbi.nlm.nih.gov/pubmed/34380480
http://dx.doi.org/10.1186/s12916-021-02039-9
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