Weihua Yue

Dr. Weihua Yue


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 November 2019 in Nature Genetics
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SCSchizophrenia Working Group of the Psychiatric Genomics Consortium
Schizophrenia Working Group of the Psychiatric Genomics Consortium
MLMax Lam
Max Lam
ICIndonesia Schizophrenia Consortium
Indonesia Schizophrenia Consortium
G(Genetic REsearch on schizophreniA neTwork-China and the Netherlands (GREAT-CN)
Genetic REsearch on schizophreniA neTwork-China and the Netherlands (GREAT-CN)
CCChia-Yen Chen
Chia-Yen Chen
HHHailiang Huang
Hailiang Huang

23 November 2012 in BMC Genomics
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Journal Article
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CLChenxing Liu
Chenxing Liu
FZFuquan Zhang
Fuquan Zhang
TLTingting Li
Tingting Li
MLMing Lu
Ming Lu
LWLifang Wang
Lifang Wang
DZDai Zhang
Dai Zhang
Background: Numerous single nucleotide polymorphisms (SNPs) associated with complex diseases have been identified by genome-wide association studies (GWAS) and expression quantitative trait loci (eQTLs) studies. However, few of these SNPs have explicit biological functions. Recent studies indicated that the SNPs within the 3’UTR regions of susceptibility genes could affect complex traits/diseases by affecting the function of miRNAs. These 3’UTR SNPs are functional candidates and therefore of interest to GWAS and eQTL researchers. Description: We developed a publicly available online database, MirSNP (http://cmbi.bjmu.edu.cn/mirsnp), which is a collection of human SNPs in predicted miRNA-mRNA binding sites. We identified 414,510 SNPs that might affect miRNA-mRNA binding. Annotations were added to these SNPs to predict whether a SNP within the target site would decrease/break or enhance/create an miRNA-mRNA binding site. By applying MirSNP database to three brain eQTL data sets, we identified four unreported SNPs (rs3087822, rs13042, rs1058381, and rs1058398), which might affect miRNA binding and thus affect the expression of their host genes in the brain. We also applied the MirSNP database to our GWAS for schizophrenia: seven predicted miRNA-related SNPs (p < 0.0001) were found in the schizophrenia GWAS. Our findings identified the possible functions of these SNP loci, and provide the basis for subsequent functional research. Conclusion: MirSNP could identify the putative miRNA-related SNPs from GWAS and eQTLs researches and provide the direction for subsequent functional researches.

23 March 2020 in Nature Medicine
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ALAng Li
Ang Li
AZAndrew Zalesky
Andrew Zalesky
WYWeihua Yue
Weihua Yue
OHOliver Howes
Oliver Howes
HYHao Yan
Hao Yan
BLBing Liu
Bing Liu

26 May 2023 in The Lancet Regional Health - Western Pacific
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Journal Article
Open access
DQDiyang Qu
Diyang Qu
XWXue Wen
Xue Wen
BLBowen Liu
Bowen Liu
XZXuan Zhang
Xuan Zhang
YHYuhao He
Yuhao He
RCRunsen Chen
Runsen Chen
Non-suicidal self-injury behavior (NSSI) is a serious public health concern that requires immediate attention. Despite the high prevalence of NSSI among the Chinese population, there is a significant gap in research on the comprehensive picture of this field. Therefore, a scoping review was conducted to investigate the prevalence, methods, risk factors, and preventive intervention programs related to NSSI in China. The review found that the estimated lifetime prevalence of NSSI among Chinese youth population is alarmingly high at 24.7% (N = 1,088,433). Common methods of NSSI include scratching, hitting, and biting. Additionally, the review synthesized 249 risk factors based on the biopsychosocial-ecological framework, highlighting the urgent need for intervention. However, only 12 empirical studies focus on NSSI prevention or intervention programs were included. These findings underscore the necessity for more clinical practices and larger studies to identify effective interventions and ultimately alleviate the burden of NSSI on the Chinese population. This review was supported by Humanity and Social Science Youth foundation of Ministry of Education (22YJCZH018), Science and Technology Innovation 2030 (STI2030-Major Projects:2021ZD0200702), National Natural Science Foundation of China (81825009), and Shuimu Tsinghua Scholar. No funding agencies were involved in the data collection, data analysis, and writing of this paper.

1 April 2018 in The Lancet Psychiatry
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Journal Article
Closed access
HYHao Yu
Hao Yu
HYHao Yan
Hao Yan
LWLifang Wang
Lifang Wang
JLJun Li
Jun Li
LTLiwen Tan
Liwen Tan
WYWeihua Yue
Weihua Yue

22 March 2023 in Nature Mental Health
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Journal Article
Closed access
PDF file
YJYuchao Jiang
Yuchao Jiang
JWJijun Wang
Jijun Wang
EZEnpeng Zhou
Enpeng Zhou
LENA PALANIYAPPANLENA PALANIYAPPAN
LENA PALANIYAPPAN
Cheng LuoCheng Luo
Cheng Luo
TCthe ZIB Consortium
the ZIB Consortium