Author
Jinbei Zhang
Bio: Jinbei Zhang is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Major depressive disorder & Bipolar disorder. The author has an hindex of 9, co-authored 21 publications receiving 1024 citations.
Papers
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University of Oxford1, Virginia Commonwealth University2, Capital Medical University3, Nanjing Medical University4, Hebei Medical University5, Harbin Medical University6, Shantou University7, Sichuan University8, Sun Yat-sen University9, Chongqing University10, Jinan University11, Xi'an Jiaotong University12, Shanxi Medical University13, Zhengzhou University14, Lanzhou University15, Central South University16, Jiangsu University17, Wuhan University18, Zhejiang Chinese Medical University19, China Medical University (PRC)20, Kanazawa Medical University21, Tianjin First Center Hospital22, Tongji University23, Fourth Military Medical University24, Max Planck Society25, Shanghai Jiao Tong University26, Fudan University27, Peking Union Medical College28, Macau University of Science and Technology29, University of Copenhagen30, King Abdulaziz University31, East China Normal University32
TL;DR: Using low-coverage whole-genome sequencing of 5,303 Chinese women with recurrent MDD selected to reduce phenotypic heterogeneity, and 5,337 controls screened to exclude MDD, two loci contributing to risk of MDD on chromosome 10 are identified: one near the SIRT1 gene and the other in an intron of the LHPP gene.
Abstract: Genomic analysis of 5,303 Chinese women with recurrent major depressive disorder (MDD) enables the identification and replication of two genome-wide significant loci contributing to risk of MDD on chromosome 10: one near the SIRT1 gene; the other in an intron of the LHPP gene.
745 citations
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Wellcome Trust Centre for Human Genetics1, Chang Gung University2, Max Planck Society3, University of Cambridge4, University of Granada5, National Institute for Health Research6, Sichuan University7, Harbin Medical University8, Zhengzhou University9, China Medical University (PRC)10, Chongqing Medical University11, Nanjing Medical University12, Zhejiang Chinese Medical University13, Capital Medical University14, Hebei Medical University15, Sun Yat-sen University16, Shanxi Medical University17, Jiangsu University18, University of Oxford19, Peking Union Medical College20, Virginia Commonwealth University21, East China Normal University22
TL;DR: It is demonstrated that changes in the amount of mtDNA and telomere length are consequences of stress and entering a depressed state and have important implications for understanding how stress causes the disease.
205 citations
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Fudan University1, Shanghai Mental Health Center2, China Medical University (PRC)3, Zhengzhou University4, XinHua Hospital5, Shanxi Medical University6, Capital Medical University7, Sun Yat-sen University8, Jiangsu University9, Harbin Medical University10, Hebei Medical University11, Chongqing Medical University12, Sichuan University13, Lanzhou University14, Shantou University15, Tongji University16, Jinan University17, Wuhan University18, Tianjin First Center Hospital19, Wellcome Trust Centre for Human Genetics20, Clinical Trial Service Unit21, Virginia Commonwealth University22
TL;DR: CSA is strongly associated with recurrent MD and this association increases with greater severity of CSA, and among the depressed women, those with CSA had an earlier age of onset, longer depressive episodes.
Abstract: Background
Our prior study in Han Chinese women has shown that women with a history of childhood sexual abuse (CSA) are at increased risk for developing major depression (MD). Would this relationship be found in our whole data set?
Method
Three levels of CSA (non-genital, genital, and intercourse) were assessed by self-report in two groups of Han Chinese women: 6017 clinically ascertained with recurrent MD and 5983 matched controls. Diagnostic and other risk factor information was assessed at personal interview. Odds ratios (ORs) were calculated by logistic regression.
Results
We confirmed earlier results by replicating prior analyses in 3,950 new recurrent MD cases. There were no significant differences between the two data sets. Any form of CSA was significantly associated with recurrent MD (OR 4.06, 95% confidence interval (CI) [3.19–5.24]). This association strengthened with increasing CSA severity: non-genital (OR 2.21, 95% CI 1.58–3.15), genital (OR 5.24, 95% CI 3.52–8.15) and intercourse (OR 10.65, 95% CI 5.56–23.71). Among the depressed women, those with CSA had an earlier age of onset, longer depressive episodes. Recurrent MD patients those with CSA had an increased risk for dysthymia (OR 1.60, 95%CI 1.11–2.27) and phobia (OR 1.41, 95%CI 1.09–1.80). Any form of CSA was significantly associated with suicidal ideation or attempt (OR 1.50, 95% CI 1.20–1.89) and feelings of worthlessness or guilt (OR 1.41, 95% CI 1.02–2.02). Intercourse (OR 3.47, 95%CI 1.66–8.22), use of force and threats (OR 1.95, 95%CI 1.05–3.82) and how strongly the victims were affected at the time (OR 1.39, 95%CI 1.20–1.64) were significantly associated with recurrent MD.
Conclusions
In Chinese women CSA is strongly associated with recurrent MD and this association increases with greater severity of CSA. Depressed women with CSA have some specific clinical traits. Some features of CSA were associated with greater likelihood of developing recurrent MD.
41 citations
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TL;DR: Bipolar disorder patients have a higher suicide risk than major depressive disorder patients, and the factors that were significantly associated with suicide risk may aid in identifying major affective disorder patients who are at risk for future suicidal behavior.
30 citations
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Wellcome Trust Centre for Human Genetics1, Zhengzhou University2, XinHua Hospital3, Shanxi Medical University4, China Medical University (PRC)5, Shanghai Mental Health Center6, Capital Medical University7, Sun Yat-sen University8, Jiangsu University9, Harbin Medical University10, Hebei Medical University11, Chongqing Medical University12, Sichuan University13, Lanzhou University14, Shantou University15, Tongji University16, Jinan University17, Wuhan University18, Tianjin First Center Hospital19, Clinical Trial Service Unit20, Virginia Commonwealth University21
TL;DR: Significantly more episodes of MDD occur among those with lower educational attainment (rather than longer episodes of disease), consistent with the hypothesis that the lower socioeconomic position increases the likelihood of developing MDD.
Abstract: Background
The prevalence of major depressive disorder (MDD) is higher in those with low levels of educational attainment, the unemployed and those with low social status. However the extent to which these factors cause MDD is unclear. Most of the available data comes from studies in developed countries, and these findings may not extrapolate to developing countries. Examining the relationship between MDD and socio economic status in China is likely to add to the debate because of the radical economic and social changes occurring in China over the last 30 years.
Principal findings
We report results from 3,639 Chinese women with recurrent MDD and 3,800 controls. Highly significant odds ratios (ORs) were observed between MDD and full time employment (OR = 0.36, 95% CI = 0.25–0.46, logP = 78), social status (OR = 0.83, 95% CI = 0.77–0.87, logP = 13.3) and education attainment (OR = 0.90, 95% CI = 0.86–0.90, logP = 6.8). We found a monotonic relationship between increasing age and increasing levels of educational attainment. Those with only primary school education have significantly more episodes of MDD (mean 6.5, P-value = 0.009) and have a clinically more severe disorder, while those with higher educational attainment are likely to manifest more comorbid anxiety disorders.
Conclusions
In China lower socioeconomic position is associated with increased rates of MDD, as it is elsewhere in the world. Significantly more episodes of MDD occur among those with lower educational attainment (rather than longer episodes of disease), consistent with the hypothesis that the lower socioeconomic position increases the likelihood of developing MDD. The phenomenology of MDD varies according to the degree of educational attainment: higher educational attainment not only appears to protect against MDD but alters its presentation, to a more anxious phenotype.
29 citations
Cited by
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Wellcome Trust Sanger Institute1, University of Michigan2, University of Oxford3, University of Geneva4, University of Exeter5, Greifswald University Hospital6, National Research Council7, University of Bristol8, University of Colorado Boulder9, Fred Hutchinson Cancer Research Center10, University of Washington11, SUNY Downstate Medical Center12, Erasmus University Rotterdam13, University of Trieste14, VU University Amsterdam15, King's College London16, South London and Maudsley NHS Foundation Trust17, University of Edinburgh18, Harvard University19, National Institutes of Health20, Harokopio University21, Innsbruck Medical University22, Broad Institute23, Lund University24, University of Helsinki25, Norwegian University of Science and Technology26, University of Cambridge27, University of Minnesota28, Technische Universität München29, University of North Carolina at Chapel Hill30, University of Toronto31, McGill University32, Leiden University33, University of Pennsylvania34, University of Groningen35, Utrecht University36, Churchill Hospital37
TL;DR: A reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies.
Abstract: We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.
2,149 citations
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TL;DR: A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent and significant loci and finds important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia.
Abstract: Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.
1,898 citations
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15 Sep 2016
TL;DR: An overview of the current evidence of major depressive disorder, including its epidemiology, aetiology, pathophysiology, diagnosis and treatment, is provided.
Abstract: Major depressive disorder (MDD) is a debilitating disease that is characterized by depressed mood, diminished interests, impaired cognitive function and vegetative symptoms, such as disturbed sleep or appetite. MDD occurs about twice as often in women than it does in men and affects one in six adults in their lifetime. The aetiology of MDD is multifactorial and its heritability is estimated to be approximately 35%. In addition, environmental factors, such as sexual, physical or emotional abuse during childhood, are strongly associated with the risk of developing MDD. No established mechanism can explain all aspects of the disease. However, MDD is associated with alterations in regional brain volumes, particularly the hippocampus, and with functional changes in brain circuits, such as the cognitive control network and the affective-salience network. Furthermore, disturbances in the main neurobiological stress-responsive systems, including the hypothalamic-pituitary-adrenal axis and the immune system, occur in MDD. Management primarily comprises psychotherapy and pharmacological treatment. For treatment-resistant patients who have not responded to several augmentation or combination treatment attempts, electroconvulsive therapy is the treatment with the best empirical evidence. In this Primer, we provide an overview of the current evidence of MDD, including its epidemiology, aetiology, pathophysiology, diagnosis and treatment.
1,728 citations
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Royal Edinburgh Hospital1, King's College London2, Centre for Mental Health3, University of Glasgow4, University of Edinburgh5, Medical Research Council6, University of Münster7, University of Melbourne8, University of Freiburg9, University of Queensland10, Harvard University11, Charité12, Broad Institute13, University of North Carolina at Chapel Hill14, Karolinska Institutet15
TL;DR: A genetic meta-analysis of depression found 269 associated genes that highlight several potential drug repositioning opportunities, and relationships with depression were found for neuroticism and smoking.
Abstract: Major depression is a debilitating psychiatric illness that is typically associated with low mood and anhedonia. Depression has a heritable component that has remained difficult to elucidate with current sample sizes due to the polygenic nature of the disorder. To maximize sample size, we meta-analyzed data on 807,553 individuals (246,363 cases and 561,190 controls) from the three largest genome-wide association studies of depression. We identified 102 independent variants, 269 genes, and 15 genesets associated with depression, including both genes and gene pathways associated with synaptic structure and neurotransmission. An enrichment analysis provided further evidence of the importance of prefrontal brain regions. In an independent replication sample of 1,306,354 individuals (414,055 cases and 892,299 controls), 87 of the 102 associated variants were significant after multiple testing correction. These findings advance our understanding of the complex genetic architecture of depression and provide several future avenues for understanding etiology and developing new treatment approaches.
1,312 citations
01 Jan 2016
TL;DR: In this article, a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry is presented.
Abstract: We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.
1,261 citations