scholarly journals Genome-wide association study of high-altitude pulmonary edema in a Han Chinese population

Oncotarget ◽  
2017 ◽  
Vol 8 (19) ◽  
pp. 31568-31580 ◽  
Author(s):  
Xun Li ◽  
Tianbo Jin ◽  
Mingxia Zhang ◽  
Hua Yang ◽  
Xuewen Huang ◽  
...  
Keyword(s):  
Pulmonary Edema ◽  
Association Study ◽  
High Altitude ◽  
Chinese Population ◽  
Genome Wide Association Study ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Han Chinese Population ◽  
Genome Wide ◽  
High Altitude Pulmonary Edema

Genome-wide association study of high-altitude pulmonary edema in Han Chinese

2013 ◽  
Vol 35 (11) ◽  
pp. 1291-1299 ◽  
Author(s):  
Ying-Zhong YANG ◽  
Ya-Ping WANG ◽  
Ya-Ping WANG ◽  
Yang DU ◽  
Ri-Li GE
Keyword(s):  
Pulmonary Edema ◽  
Association Study ◽  
High Altitude ◽  
Genome Wide Association Study ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Genome Wide ◽  
High Altitude Pulmonary Edema

scholarly journals Genome-wide association study of bipolar I disorder in the Han Chinese population

2010 ◽  
Vol 16 (5) ◽  
pp. 548-556 ◽  
Author(s):  
M T M Lee ◽  
C H Chen ◽  
C S Lee ◽  
C C Chen ◽  
M Y Chong ◽  
...  
Keyword(s):  
Association Study ◽  
Chinese Population ◽  
Genome Wide Association Study ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Bipolar I Disorder ◽  
Han Chinese Population ◽  
Genome Wide

scholarly journals Genome-Wide Association Study of Young-Onset Hypertension in the Han Chinese Population of Taiwan

PLoS ONE ◽  
2009 ◽  
Vol 4 (5) ◽  
pp. e5459 ◽  
Author(s):  
Hsin-Chou Yang ◽  
Yu-Jen Liang ◽  
Yi-Lin Wu ◽  
Chia-Min Chung ◽  
Kuang-Mao Chiang ◽  
...  
Keyword(s):  
Association Study ◽  
Chinese Population ◽  
Genome Wide Association Study ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Han Chinese Population ◽  
Young Onset ◽  
Genome Wide

scholarly journals Pathway Analysis for Genome-Wide Association Study of Lung Cancer in Han Chinese Population

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e57763 ◽  
Author(s):  
Ruyang Zhang ◽  
Yang Zhao ◽  
Minjie Chu ◽  
Chen Wu ◽  
Guangfu Jin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Association Study ◽  
Pathway Analysis ◽  
Chinese Population ◽  
Genome Wide Association Study ◽  
Han Chinese ◽  
Genome Wide Association ◽  
Han Chinese Population ◽  
Genome Wide

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

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jiewei Liu ◽  
Shiwu Li ◽  
Xiaoyan Li ◽  
Wenqiang Li ◽  
Yongfeng Yang ◽  
...  
Keyword(s):  
Association Study ◽  
Chinese Population ◽  
Meta Analysis ◽  
Han Chinese ◽  
Genome Wide Association ◽  
European Ancestry ◽  
Polygenic Risk Score ◽  
Summary Statistics ◽  
Han Chinese Population ◽  
Genome Wide

Abstract 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.

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