41 results on '"Chen, Eric YH"'
Search Results
2. 10Kin1day: A Bottom-Up Neuroimaging Initiative
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van den Heuvel, Martijn P, Scholtens, Lianne H, van der Burgh, Hannelore K, Agosta, Federica, Alloza, Clara, Arango, Celso, Auyeung, Bonnie, Baron-Cohen, Simon, Basaia, Silvia, Benders, Manon JNL, Beyer, Frauke, Booij, Linda, Braun, Kees PJ, Filho, Geraldo Busatto, Cahn, Wiepke, Cannon, Dara M, Chaim-Avancini, Tiffany M, Chan, Sandra SM, Chen, Eric YH, Crespo-Facorro, Benedicto, Crone, Eveline A, Dannlowski, Udo, de Zwarte, Sonja MC, Dietsche, Bruno, Donohoe, Gary, Du Plessis, Stefan, Durston, Sarah, Díaz-Caneja, Covadonga M, Díaz-Zuluaga, Ana M, Emsley, Robin, Filippi, Massimo, Frodl, Thomas, Gorges, Martin, Graff, Beata, Grotegerd, Dominik, Gąsecki, Dariusz, Hall, Julie M, Holleran, Laurena, Holt, Rosemary, Hopman, Helene J, Jansen, Andreas, Janssen, Joost, Jodzio, Krzysztof, Jäncke, Lutz, Kaleda, Vasiliy G, Kassubek, Jan, Masouleh, Shahrzad Kharabian, Kircher, Tilo, Koevoets, Martijn GJC, Kostic, Vladimir S, Krug, Axel, Lawrie, Stephen M, Lebedeva, Irina S, Lee, Edwin HM, Lett, Tristram A, Lewis, Simon JG, Liem, Franziskus, Lombardo, Michael V, Lopez-Jaramillo, Carlos, Margulies, Daniel S, Markett, Sebastian, Marques, Paulo, Martínez-Zalacaín, Ignacio, McDonald, Colm, McIntosh, Andrew M, McPhilemy, Genevieve, Meinert, Susanne L, Menchón, José M, Montag, Christian, Moreira, Pedro S, Morgado, Pedro, Mothersill, David O, Mérillat, Susan, Müller, Hans-Peter, Nabulsi, Leila, Najt, Pablo, Narkiewicz, Krzysztof, Naumczyk, Patrycja, Oranje, Bob, de la Foz, Victor Ortiz-Garcia, Peper, Jiska S, Pineda, Julian A, Rasser, Paul E, Redlich, Ronny, Repple, Jonathan, Reuter, Martin, Rosa, Pedro GP, Ruigrok, Amber NV, Sabisz, Agnieszka, Schall, Ulrich, Seedat, Soraya, Serpa, Mauricio H, Skouras, Stavros, Soriano-Mas, Carles, Sousa, Nuno, Szurowska, Edyta, Tomyshev, Alexander S, Tordesillas-Gutierrez, Diana, Valk, Sofie L, and van den Berg, Leonard H
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Biological Psychology ,Psychology ,Biomedical Imaging ,Brain Disorders ,Neurosciences ,Neurological ,MRI ,connectome analysis ,diffusion weighted MRI ,brain ,network ,Clinical Sciences ,Clinical sciences ,Biological psychology - Abstract
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.
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- 2019
3. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes
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Consortium, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics, Ruderfer, Douglas M, Ripke, Stephan, McQuillin, Andrew, Boocock, James, Stahl, Eli A, Pavlides, Jennifer M Whitehead, Mullins, Niamh, Charney, Alexander W, Ori, Anil PS, Loohuis, Loes M Olde, Domenici, Enrico, Di Florio, Arianna, Papiol, Sergi, Kalman, Janos L, Trubetskoy, Vassily, Adolfsson, Rolf, Agartz, Ingrid, Agerbo, Esben, Akil, Huda, Albani, Diego, Albus, Margot, Alda, Martin, Alexander, Madeline, Alliey-Rodriguez, Ney, Als, Thomas D, Amin, Farooq, Anjorin, Adebayo, Arranz, Maria J, Awasthi, Swapnil, Bacanu, Silviu A, Badner, Judith A, Baekvad-Hansen, Marie, Bakker, Steven, Band, Gavin, Barchas, Jack D, Barroso, Ines, Bass, Nicholas, Bauer, Michael, Baune, Bernhard T, Begemann, Martin, Bellenguez, Celine, Belliveau, Richard A, Bellivier, Frank, Bender, Stephan, Bene, Judit, Bergen, Sarah E, Berrettini, Wade H, Bevilacqua, Elizabeth, Biernacka, Joanna M, Bigdeli, Tim B, Black, Donald W, Blackburn, Hannah, Blackwell, Jenefer M, Blackwood, Douglas HR, Pedersen, Carsten Bocker, Boehnke, Michael, Boks, Marco, Borglum, Anders D, Bramon, Elvira, Breen, Gerome, Brown, Matthew A, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Budde, Monika, Bulik-Sullivan, Brendan, Bumpstead, Suzannah J, Bunney, William, Burmeister, Margit, Buxbaum, Joseph D, Bybjerg-Grauholm, Jonas, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Cairns, Murray J, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Casas, Juan P, Casas, Miquel, Catts, Stanley V, Cervantes, Pablo, Chambert, Kimberley D, Chan, Raymond CK, Chen, Eric YH, Chen, Ronald YL, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Clarke, Toni-Kim, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Coleman, Jonathan RI, Collier, David A, Cormican, Paul, Coryell, William, and Craddock, Nicholas
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Human Genome ,Neurosciences ,Serious Mental Illness ,Bipolar Disorder ,Biotechnology ,Schizophrenia ,Brain Disorders ,Genetics ,Mental Health ,Mental health ,Good Health and Well Being ,Case-Control Studies ,Genetic Loci ,Genome-Wide Association Study ,Humans ,Multifactorial Inheritance ,Odds Ratio ,Phenotype ,Risk ,White People ,Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Electronic address: douglas.ruderfer@vanderbilt.edu ,Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium ,bipolar disorder ,polygenic risk ,psychosis ,schizophrenia ,subphenotypes ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment.
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- 2018
4. Prospective prediction of PTSD and depressive symptoms during social unrest and COVID-19 using a brief online tool
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Wong, Stephanie MY, Hui, Christy LM, Wong, Corine SM, Suen, YN, Chan, Sherry KW, Lee, Edwin HM, Chang, WC, and Chen, Eric YH
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- 2021
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5. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
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Vilhjálmsson, Bjarni J, Yang, Jian, Finucane, Hilary K, Gusev, Alexander, Lindström, Sara, Ripke, Stephan, Genovese, Giulio, Loh, Po-Ru, Bhatia, Gaurav, Do, Ron, Hayeck, Tristan, Won, Hong-Hee, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Neale, Benjamin M, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Georgieva, Lyudmila, Gershon, Elliot S, Giegling, Ina, Giusti-Rodrguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, and Grove, Jakob
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Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Schizophrenia ,Mental Health ,Brain Disorders ,Serious Mental Illness ,Genome-Wide Association Study ,Genotype ,Humans ,Linkage Disequilibrium ,Models ,Theoretical ,Multifactorial Inheritance ,Multiple Sclerosis ,Phenotype ,Polymorphism ,Single Nucleotide ,Prognosis ,Quantitative Trait Loci ,Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Discovery ,Biology ,and Risk of Inherited Variants in Breast Cancer (DRIVE) study ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R(2) increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase.
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- 2015
6. Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
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Gusev, Alexander, Lee, S Hong, Trynka, Gosia, Finucane, Hilary, Vilhjálmsson, Bjarni J, Xu, Han, Zang, Chongzhi, Ripke, Stephan, Bulik-Sullivan, Brendan, Stahl, Eli, Kähler, Anna K, Hultman, Christina M, Purcell, Shaun M, McCarroll, Steven A, Daly, Mark J, Pasaniuc, Bogdan, Sullivan, Patrick F, Neale, Benjamin M, Wray, Naomi R, Raychaudhuri, Soumya, Price, Alkes, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Børglum, Anders D, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Genovese, Giulio, and Georgieva, Lyudmila
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Epidemiology ,Biological Sciences ,Health Sciences ,Genetics ,Human Genome ,Prevention ,Computer Simulation ,Genetic Diseases ,Inborn ,Genetic Variation ,Genome-Wide Association Study ,Humans ,Inheritance Patterns ,Models ,Genetic ,Open Reading Frames ,Regulatory Elements ,Transcriptional ,Schizophrenia Working Group of the Psychiatric Genomics Consortium ,SWE-SCZ Consortium ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Regulatory and coding variants are known to be enriched with associations identified by genome-wide association studies (GWASs) of complex disease, but their contributions to trait heritability are currently unknown. We applied variance-component methods to imputed genotype data for 11 common diseases to partition the heritability explained by genotyped SNPs (hg(2)) across functional categories (while accounting for shared variance due to linkage disequilibrium). Extensive simulations showed that in contrast to current estimates from GWAS summary statistics, the variance-component approach partitions heritability accurately under a wide range of complex-disease architectures. Across the 11 diseases DNaseI hypersensitivity sites (DHSs) from 217 cell types spanned 16% of imputed SNPs (and 24% of genotyped SNPs) but explained an average of 79% (SE = 8%) of hg(2) from imputed SNPs (5.1× enrichment; p = 3.7 × 10(-17)) and 38% (SE = 4%) of hg(2) from genotyped SNPs (1.6× enrichment, p = 1.0 × 10(-4)). Further enrichment was observed at enhancer DHSs and cell-type-specific DHSs. In contrast, coding variants, which span 1% of the genome, explained
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- 2014
7. Biological insights from 108 schizophrenia-associated genetic loci
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Ripke, Stephan, Neale, Benjamin M, Corvin, Aiden, Walters, James TR, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A Jr, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodriguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Henskens, Frans A, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Hougaard, David M, Ikeda, Masashi, and Joa, Inge
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Human Genome ,Brain Disorders ,Serious Mental Illness ,Prevention ,Schizophrenia ,Genetics ,Neurosciences ,Mental Health ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Alleles ,Brain ,Enhancer Elements ,Genetic ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Glutamic Acid ,Humans ,Immunity ,Multifactorial Inheritance ,Mutation ,Odds Ratio ,Polymorphism ,Single Nucleotide ,Synaptic Transmission ,Schizophrenia Working Group of the Psychiatric Genomics Consortium ,General Science & Technology - Abstract
Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many findings have the potential to provide entirely new insights into aetiology, but associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that have important roles in immunity, providing support for the speculated link between the immune system and schizophrenia.
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- 2014
8. General Psychopathology and Trait Aggression Shared Common Psychological Characteristics in Community Youths and Young Adults: A Machine Learning and Network Approach
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Wong, Ting Yat, primary, Fang, Zhiqian, additional, Cheung, Charlton, additional, Suen, Yi Nam, additional, Hui, Christy LM., additional, Wa Chan, Sherry Kit, additional, Lee, Edwin HM., additional, Lui, Simon SY., additional, Wong, Corine, additional, Chang, Wing Chung, additional, Sham, Pak Chung, additional, and Chen, Eric YH., additional
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- 2023
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9. Additional file 1 of Increased psychological distress among young people before and during the fifth wave of COVID-19 after two years of pandemic in Hong Kong: a 6-month longitudinal study
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Wong, Stephanie MY, Chen, Eric YH, Suen, YN, Ho, Winky, Chan, Sherry KW, Lee, Edwin HM, Chan, KT, Lui, Simon SY, Wong, Michael TH, and Hui, Christy LM
- Abstract
Supplementary Material 1
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- 2023
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10. Increased psychological distress among young people before and during the fifth wave of COVID-19 after two years of pandemic in Hong Kong: a 6-month longitudinal study.
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Wong, Stephanie MY, Chen, Eric YH, Suen, YN, Ho, Winky, Chan, Sherry KW, Lee, Edwin HM, Chan, KT, Lui, Simon SY, Wong, Michael TH, and Hui, Christy LM
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YOUNG adults , *COVID-19 pandemic , *PSYCHOLOGICAL distress , *SARS-CoV-2 Omicron variant , *PHYSICAL activity , *H7N9 Influenza - Abstract
Background: Despite over two years of COVID-19 worldwide, the outbreak of the Omicron variant has given rise to an unprecedented surge of infection with diverse lockdown measures implemented globally. Whether the emergence of a new wave of COVID-19 could further affect mental health in the population after nearly two years of the pandemic remains to be addressed. Furthermore, whether changes in smartphone overuse behaviours and physical activity – both of which are particularly relevant to young people – would together contribute to changes in distress symptoms during this wave of COVID-19 was also examined. Methods: A total of 248 young people from an ongoing household-based epidemiological study in Hong Kong who completed their baseline assessments prior to the Omicron variant outbreak, i.e., fifth wave of COVID-19 (July–November 2021), were invited for a 6-month follow-up study during this wave of infection (January–April 2022) (mean age = 19.7 years, SD = 2.7; 58.9% females). At both time points, levels of global distress symptoms, perceived stress, smartphone overuse, frequency of engagement in vigorous physical activity, and other potential risk and protective factors were assessed. Results: The proportion of young people presenting moderate-to-severe distress (6-item Kessler Psychological Distress Scale ≥ 5) significantly increased from 45.6 to 54.4% during the fifth wave of COVID-19 (p < 0.010). Significantly increased levels of smartphone overuse and reduced days of vigorous physical activity were also observed during the fifth wave. Notably, increased smartphone overuse and reduced physical activity both additively and interactively contributed to elevated distress at 6 months, even after accounting for demographic characteristics, psychiatric history, childhood adversity, as well as baseline distress symptoms, resilience, and recent personal stressors. Conclusions: The findings suggest that the emergence of a new wave of COVID-19, specifically the Omicron outbreak, can further aggravate mental distress even after a protracted period of the pandemic. Awareness of the dynamic nature of COVID-19 is necessitated to address the pressing mental health needs of populations. Supporting young people in healthier patterns of smartphone use and physical activity can be helpful. [ABSTRACT FROM AUTHOR]
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- 2023
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11. A three-year prospective study of spontaneous eye-blink rate in first-episode schizophrenia: Relationship with relapse and neurocognitive function
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Chan, Kevin KS, Hui, Christy LM, Lam, May ML, Tang, Jennifer YM, Wong, Gloria HY, Chan, Sherry KW, and Chen, Eric YH
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- 2010
12. Contribution of working memory components to the performance of the Tower of Hanoi in schizophrenia
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Chan, Raymond CK, Wang, Yu-Na, Cao, Xiao-Yan, and Chen, Eric YH
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- 2010
13. Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing
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Sandini, Corrado, primary, Zöller, Daniela, additional, Schneider, Maude, additional, Tarun, Anjali, additional, Armando, Marco, additional, Nelson, Barnaby, additional, Amminger, Paul G, additional, Yuen, Hok Pan, additional, Markulev, Connie, additional, Schäffer, Monica R, additional, Mossaheb, Nilufar, additional, Schlögelhofer, Monika, additional, Smesny, Stefan, additional, Hickie, Ian B, additional, Berger, Gregor Emanuel, additional, Chen, Eric YH, additional, de Haan, Lieuwe, additional, Nieman, Dorien H, additional, Nordentoft, Merete, additional, Riecher-Rössler, Anita, additional, Verma, Swapna, additional, Thompson, Andrew, additional, Yung, Alison Ruth, additional, McGorry, Patrick D, additional, Van De Ville, Dimitri, additional, and Eliez, Stephan, additional
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- 2021
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14. Author response: Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing
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Sandini, Corrado, primary, Zöller, Daniela, additional, Schneider, Maude, additional, Tarun, Anjali, additional, Armando, Marco, additional, Nelson, Barnaby, additional, Amminger, Paul G, additional, Yuen, Hok Pan, additional, Markulev, Connie, additional, Schäffer, Monica R, additional, Mossaheb, Nilufar, additional, Schlögelhofer, Monika, additional, Smesny, Stefan, additional, Hickie, Ian B, additional, Berger, Gregor Emanuel, additional, Chen, Eric YH, additional, de Haan, Lieuwe, additional, Nieman, Dorien H, additional, Nordentoft, Merete, additional, Riecher-Rössler, Anita, additional, Verma, Swapna, additional, Thompson, Andrew, additional, Yung, Alison Ruth, additional, McGorry, Patrick D, additional, Van De Ville, Dimitri, additional, and Eliez, Stephan, additional
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- 2021
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15. The impact of social unrest and pandemic on mental health of young people in Hong Kong: The transdiagnostic role of event-based rumination
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Wong, Stephanie MY, primary, Hui, Christy LM, additional, Suen, Yi Nam, additional, Wong, Corine SM, additional, Chan, Sherry KW, additional, Lee, Edwin HM, additional, Chang, Wing Chung, additional, and Chen, Eric YH, additional
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- 2021
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16. sj-docx-1-anp-10.1177_00048674211025710 – Supplemental material for The impact of social unrest and pandemic on mental health of young people in Hong Kong: The transdiagnostic role of event-based rumination
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Wong, Stephanie MY, Hui, Christy LM, Suen, Yi Nam, Wong, Corine SM, Chan, Sherry KW, Lee, Edwin HM, Chang, Wing Chung, and Chen, Eric YH
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FOS: Psychology ,FOS: Clinical medicine ,170199 Psychology not elsewhere classified ,110319 Psychiatry (incl. Psychotherapy) ,Neuroscience - Abstract
Supplemental material, sj-docx-1-anp-10.1177_00048674211025710 for The impact of social unrest and pandemic on mental health of young people in Hong Kong: The transdiagnostic role of event-based rumination by Stephanie MY Wong, Christy LM Hui, Yi Nam Suen, Corine SM Wong, Sherry KW Chan, Edwin HM Lee, Wing Chung Chang and Eric YH Chen in Australian & New Zealand Journal of Psychiatry
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- 2021
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17. Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing
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Sandini, Corrado, Zöller, Daniela, Schneider, Maude, Tarun, Anjali, Armondo, Marco, Nelson, Barnaby, Amminger, Paul G., Yuen, Hok Pan, Markulev, Connie, Schäffer, Monica R., Mossaheb, Nilufar, Schlögelhofer, Monika, Smesny, Stefan, Hickie, Ian B., Berger, Gregor Emanuel, Chen, Eric YH, de Haan, Lieuwe, Nieman, Dorien H., Nordentoft, Merete, Riecher-Rössler, Anita, Verma, Swapna, Thompson, Andrew, Yung, Alison Ruth, McGorry, Patrick D, Van de Ville, Dimitri, Eliez, Stephan, Sandini, Corrado, Zöller, Daniela, Schneider, Maude, Tarun, Anjali, Armondo, Marco, Nelson, Barnaby, Amminger, Paul G., Yuen, Hok Pan, Markulev, Connie, Schäffer, Monica R., Mossaheb, Nilufar, Schlögelhofer, Monika, Smesny, Stefan, Hickie, Ian B., Berger, Gregor Emanuel, Chen, Eric YH, de Haan, Lieuwe, Nieman, Dorien H., Nordentoft, Merete, Riecher-Rössler, Anita, Verma, Swapna, Thompson, Andrew, Yung, Alison Ruth, McGorry, Patrick D, Van de Ville, Dimitri, and Eliez, Stephan
- Abstract
There is a growing recognition that psychiatric symptoms have the potential to causally interact with one another. Particularly in the earliest stages of psychopathology dynamic interactions between symptoms could contribute heterogeneous and cross-diagnostic clinical evolutions. Current clinical approaches attempt to merge clinical manifestations that co-occur across subjects and could therefore significantly hinder our understanding of clinical pathways connecting individual symptoms. Network approaches have the potential to shed light on the complex dynamics of early psychopathology. In the present manuscript we attempt to address 2 main limitations that have in our opinion hindered the application of network approaches in the clinical setting. The first limitation is that network analyses have mostly been applied to cross-sectional data, yielding results that often lack the intuitive interpretability of simpler categorical or dimensional approaches. Here we propose an approach based on multi-layer network analysis that offers an intuitive low-dimensional characterization of longitudinal pathways involved in the evolution of psychopathology, while conserving high-dimensional information on the role of specific symptoms. The second limitation is that network analyses typically characterize symptom connectivity at the level of a population, whereas clinical practice deals with symptom severity at the level of the individual. Here we propose an approach based on graph signal processing that exploits knowledge of network interactions between symptoms to predict longitudinal clinical evolution at the level of the individual. We test our approaches in two independent samples of individuals with genetic and clinical vulnerability for developing psychosis.
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- 2021
18. Smoking as predictor of relapse at 3 years following first-episode psychosis: a retrospective cohort study in Hong Kong: C27
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Hui, Christy, Tang, Jennifer YM, Chang, Wing Chung, Chan, Sherry KW, Lee, Edwin HM, and Chen, Eric YH
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- 2014
19. Public and mental health professionals’ attitudes towards psychosis risk syndrome
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Lee, Edwin, Hui, Christy LM, Chang, W C, Chan, Sherry KW, Ching, Elaine YN, and Chen, Eric YH
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- 2014
20. Factors for motivational intervention of exercise in patients with psychosis
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Lee, Edwin HM, Lee, Jenny TM, Hui, Christy LM, Chang, W C, Chan, Sherry KW, and Chen, Eric YH
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- 2014
21. Community exercise program (FitMind) for patients with psychosis
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Lee, Edwin HM, Hui, Christy LM, Chang, W C, Chan, Sherry KW, Lin, Jessie JX, Xu, Melody JQ, de Sousa, L D, and Chen, Eric YH
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- 2014
22. Mortality Risk Associated with Haloperidol Use Compared with Other Antipsychotics: An 11-Year Population-Based Propensity-Score-Matched Cohort Study
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Lao, Kim SJ, Wong, Angel YS, Wong, Ian CK, Besag, Frank MC, Chang, WC, Lee, Edwin HM, Chen, Eric YH, Blais, Joseph E, and Chan, Esther W
- Abstract
BACKGROUND: Haloperidol remains a frequently prescribed first-generation antipsychotic. However, haloperidol-associated mortality risk by all causes, cardiovascular disease (CVD), and pneumonia compared with other antipsychotics is unknown. OBJECTIVE: This study investigated the mortality risk associated with long-term haloperidol treatment versus that with other antipsychotics. METHODS: We identified incident antipsychotic users from 2004 to 2014 in the Clinical Data Analysis and Reporting System (CDARS), a population-based clinical database managed by the Hong Kong Hospital Authority. We included patients who were aged ≥ 18 and received antipsychotics for any indication apart from terminal illnesses or management of acute behavioural disturbance. Patients on haloperidol and other antipsychotic agents (risperidone, quetiapine, olanzapine, chlorpromazine, aripiprazole, sulpiride, amisulpride, or trifluoperazine) were matched by propensity score. Hazard ratios (HRs) for all-cause mortality and death due to CVD and pneumonia were estimated with 95% confidence intervals (CIs) using a Cox proportional hazards model. RESULTS: In total, 136,593 users of antipsychotics were included. During a mean follow-up of 3.2 years, the incidence of all-cause mortality ranged from 186.8/1000 person-years for haloperidol to 10.4/1000 person-years for trifluoperazine. The risk of all-cause mortality was lower with non-haloperidol antipsychotics than with haloperidol, with HRs ranging from 0.68 (95% CI 0.64-0.72 [chlorpromazine]) to 0.43 (95% CI 0.36-0.53 [trifluoperazine]). Risperidone, quetiapine, sulpiride, chlorpromazine, aripiprazole, and trifluoperazine were associated with a significantly lower risk of pneumonia-related mortality. A significantly lower risk of CVD mortality was observed for risperidone, sulpiride, chlorpromazine, and quetiapine. CONCLUSION: Haloperidol was associated with increased overall mortality when compared with other antipsychotics in long-term follow-up. Treatment with haloperidol should be carefully considered, especially in older patients and patients at risk of CVD or pneumonia, since the risk of death appears to be lower with non-haloperidol agents.
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- 2020
23. The impact of social unrest and pandemic on mental health of young people in Hong Kong: The transdiagnostic role of event-based rumination.
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Wong, Stephanie MY, Hui, Christy LM, Suen, Yi Nam, Wong, Corine SM, Chan, Sherry KW, Lee, Edwin HM, Chang, Wing Chung, and Chen, Eric YH
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LIFE change events ,CONFIDENCE intervals ,MENTAL health ,POST-traumatic stress disorder ,SMARTPHONES ,SURVEYS ,MENTAL depression ,DESCRIPTIVE statistics ,RUMINATION (Cognition) ,LOGISTIC regression analysis ,ODDS ratio ,DATA analysis software ,COVID-19 pandemic ,COMORBIDITY ,PSYCHOLOGICAL stress ,PSYCHOLOGICAL resilience - Abstract
Objective: Co-occurring population-level events, such as social unrest and coronavirus disease 2019, are observed in many societies today. Few studies have explored their combined mental health effects on young people. While self-focused rumination has been suggested to be a key mechanism underlying depression, the role of event-based rumination in mediating the impact of population stressors has yet to be elucidated. Methods: Data were collected from 6988 young people in a large-scale community online survey in Hong Kong. The survey assessed symptoms of post-traumatic stress disorder and depression, direct exposure to social unrest-related traumatic events, coronavirus disease 2019 pandemic-related events, personal stressful life events, event-based rumination and other individual risk factors. Results: High levels of comorbid post-traumatic stress disorder and depressive symptoms were observed. Logistic regression analysis revealed that probable post-traumatic stress disorder was associated with traumatic events (odds ratio = 1.73, 95% confidence interval = [1.64, 1.82]), pandemic-related events (odds ratio = 1.08, confidence interval = [1.01, 1.16]), stressful life events (odds ratio = 1.20, confidence interval = [1.21, 1.37]), high event-based rumination (odds ratio = 3.00, confidence interval = [2.58, 3.48]), lower resilience (odds ratio = 1.18, confidence interval = [1.15, 1.21]), higher smartphone reliance (odds ratio = 1.09, confidence interval = [1.05, 1.13]) and financial concerns (odds ratio = 1.25, confidence interval = [1.18, 1.33]). The odds for probable post-traumatic stress disorder was also significantly higher when two or more traumatic events were experienced (odds ratio = 4.03, confidence interval = [3.52, 4.62]). Factors associated with moderate-to-severe level depressive symptoms were similar. Event-based rumination significantly mediated between different types of external events (traumatic events, pandemic-related events, stressful life events) and both post-traumatic stress disorder and depressive symptoms. Conclusion: These findings suggest that diverse types of stressful events during population-level crises could add to personal stressors to affect mental health outcomes in young people. Among other protective and risk factors, event-based rumination presented as a prominent transdiagnostic mediator for different symptom dimensions which may be a potentially important target for early risk detection and intervention. [ABSTRACT FROM AUTHOR]
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- 2022
- Full Text
- View/download PDF
24. A randomized, wait-list controlled clinical trial: The effect of life coaching on functioning in early psychosis: B86
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Chan, Iris HH, Lai, DC, Hui, Christy LM, Li, Gary YK, Chen, Eric YH, Tam, Wendy WY, Chang, WC, Chan, Sherry KW, Lee, Edwin HM, and Leung, KF
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- 2012
25. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk
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Huckins, Laura M, Dobbyn, Amanda, Ruderfer, Douglas M, Hoffman, Gabriel, Wang, Weiqing, Pardinas, Antonio F, Rajagopal, Veera M, Als, Thomas D, Nguyen, Hoang T, Girdhar, Kiran, Boocock, James, Roussos, Panos, Fromer, Menachem, Kramer, Robin, Domenici, Enrico, Gamazon, Eric R, Purcell, Shaun, Demontis, Ditte, Borglum, Anders D, Walters, James TR, O'Donovan, Michael C, Sullivan, Patrick, Owen, Michael J, Devlin, Bernie, Sieberts, Solveig K, Cox, Nancy J, Im, Hae Kyung, Sklar, Pamela, Stahl, Eli A, Johnson, Jessica S, Shah, Hardik R, Klein, Lambertus L, Dang, Kristen K, Logsdon, Benjamin A, Mahajan, Milind C, Mangravite, Lara M, Toyoshiba, Hiroyoshi, Gur, Raquel E, Hahn, Chang-Gyu, Schadt, Eric, Lewis, David A, Haroutunian, Vahram, Peters, Mette A, Lipska, Barbara K, Buxbaum, Joseph D, Hirai, Keisuke, Perumal, Thanneer M, Essioux, Laurent, Rajagopal, Veera Manikandan, Mattheisen, Manuel, Grove, Jakob, Werge, Thomas, Mortensen, Preben Bo, Pedersen, Carsten Bocker, Agerbo, Esben, Pedersen, Marianne Giortz, Mors, Ole, Nordentoft, Merete, Hougaard, David M, Bybjerg-Grauholm, Jonas, Baekvad-Hansen, Marie, Hansen, Christine Soholm, Ripke, Stephan, Neale, Benjamin M, Corvin, Aiden, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Jr, Belliveau Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodriguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Hartmann, Annette M, Henskens, Frans A, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Ikeda, Masashi, Joa, Inge, Julia, Antonio, Kahn, Rene S, Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C, Kennedy, James L, Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Knowles, James A, Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kahler, Anna K, Laurent, Claudine, Keong, Jimmy Lee Chee, Lee, S Hong, Legge, Sophie E, Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M, Lubinski, Jan, Lonnqvist, Jouko, Jr, Macek Milan, Magnusson, Patrik KE, Maher, Brion S, Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattingsdal, Morten, McCarley, Robert W, McDonald, Colm, McIntosh, Andrew M, Meier, Sandra, Meijer, Carin J, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I, Metspalu, Andres, Michie, Patricia T, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Morris, Derek W, Murphy, Kieran C, Murray, Robin M, Myin-Germeys, Inez, Muller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A, Nestadt, Gerald, Nicodemus, Kristin K, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N, Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T, Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O, Pietilainen, Olli, Pimm, Jonathan, Pocklington, Andrew J, Powell, John, Price, Alkes, Pulver, Ann E, Purcell, Shaun M, Quested, Digby, Rasmussen, Henrik B, Reichenberg, Abraham, Reimers, Mark A, Richards, Alexander L, Roffman, Joshua L, Salomaa, Veikko, Sanders, Alan R, Schall, Ulrich, Schubert, Christian R, Schulze, Thomas G, Schwab, Sibylle G, Scolnick, Edward M, Scott, Rodney J, Seidman, Larry J, Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M, Sim, Kang, Slominsky, Petr, Smoller, Jordan W, So, Hon-Cheong, Spencer, Chris CA, Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E, Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M, Szatkiewicz, Jin P, Soderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T, Weiser, Mark, Wildenauer, Dieter B, Williams, Nigel M, Williams, Stephanie, Witt, Stephanie H, Wolen, Aaron R, Wong, Emily HM, Wormley, Brandon K, Xi, Hualin Simon, Zai, Clement C, Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R, Stefansson, Kari, Visscher, Peter M, Adolfsson, Rolf, Andreassen, Ole A, Blackwood, Douglas HR, Bramon, Elvira, Cichon, Sven, Darvasi, Ariel, Ehrenreich, Hannelore, Esko, Tonu, Gejman, Pablo V, Gill, Michael, Gurling, Hugh, Hultman, Christina M, Iwata, Nakao, Jablensky, Assen V, Jonsson, Erik G, Kendler, Kenneth S, Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F, Li, Qingqin S, Liu, Jianjun, Malhotra, Anil K, McCarroll, Steven A, McQuillin, Andrew, Moran, Jennifer L, Mortensen, Preben B, Mowry, Bryan J, Nothen, Markus M, Ophoff, Roel A, Palotie, Aarno, Pato, Carlos N, Petryshen, Tracey L, Posthuma, Danielle, Rietschel, Marcella, Riley, Brien P, Rujescu, Dan, Sham, Pak C, St Clair, David, Weinberger, Daniel R, Wendland, Jens R, Daly, Mark J, Sullivan, Patrick F, Consortium, CommonMind, Consortium, Psychiat Genomics, Working, iPSYCH-GEMS Schizophrenia, Child and Adolescent Psychiatry / Psychology, ANS - Complex Trait Genetics, APH - Mental Health, Adult Psychiatry, Perceptual and Cognitive Neuroscience (PCN), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Stem Cell Aging Leukemia and Lymphoma (SALL), Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, CommonMind Consortium, Psychiat Genomics Consortium, iPSYCH-GEMS Schizophrenia Working, Huckins, LM, Dobbyn, A, Ruderfer, DM, Hoffman, G, Lee, SH, Im, HK, iPSYCH-GEMS Schizophrenia Working Group, The Schizophrenia Working Group of the PsyUniversity of Copenhagenchiatric Genomics, Amsterdam Reproduction & Development (AR&D), Human genetics, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, and MUMC+: Hersen en Zenuw Centrum (3)
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DISORDER ,Schizophrenia/genetics ,iPSYCH-GEMS Schizophrenia Working Group ,CHILDHOOD ,Gene Expression ,Genome-wide association study ,VARIANTS ,MOUSE ,Medical and Health Sciences ,ACUTE INTERMITTENT PORPHYRIA ,Genome-wide association studies ,0302 clinical medicine ,CommonMind Consortium ,2.1 Biological and endogenous factors ,Aetiology ,Prefrontal cortex ,0303 health sciences ,Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Schizophrenia Working Group of the PsyUniversity of Copenhagenchiatric Genomics Consortium ,Brain ,Case-Control Studies ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Risk ,Schizophrenia ,Transcriptome ,Single Nucleotide ,ASSOCIATION ,Transcriptome/genetics ,Biological Sciences ,Polymorphism, Single Nucleotide/genetics ,Mental Health ,Genome-Wide Association Study/methods ,Medical genetics ,TRAITS ,Psychosis ,medicine.medical_specialty ,Computational biology ,Quantitative trait locus ,Biology ,Article ,03 medical and health sciences ,PSYCHOSIS ,SDG 3 - Good Health and Well-being ,medicine ,Genetics ,Polymorphism ,Transcriptomics ,Gene ,030304 developmental biology ,Brain/physiopathology ,Human Genome ,medicine.disease ,Brain Disorders ,Gene Expression/genetics ,COGNITIVE DEFICITS ,Expression quantitative trait loci ,Human medicine ,Gene expression ,Quantitative Trait Loci/genetics ,030217 neurology & neurosurgery ,Imputation (genetics) ,Developmental Biology - Abstract
Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression. Working Group The Schizophrenia Working Group of the Psychiatric Genomics Consortium Stephan Ripke37,38 Benjamin M. Neale37,38,39,40 Aiden Corvin41 James T. R. Walters6 Kai-How Farh37 Peter A. Holmans6,42 Phil Lee37,38,40 Brendan Bulik-Sullivan37,38 David A. Collier43,44 Hailiang Huang37,39 Tune H. Pers39,45,46 Ingrid Agartz47,48,49 Esben Agerbo8,32,33 Margot Albus50 Madeline Alexander51 Farooq Amin52,53 Silviu A. Bacanu54 Martin Begemann55 Richard A. Belliveau Jr38 Judit Bene56,57 Sarah E. Bergen38,58 Elizabeth Bevilacqua38 Tim B. Bigdeli54 Donald W. Black59 Richard Bruggeman60 Nancy G. Buccola61 Randy L. Buckner62,63,64 William Byerley65 Wiepke Cahn66 Guiqing Cai2,3 Dominique Campion67 Rita M. Cantor10 Vaughan J. Carr68,69 Noa Carrera6 Stanley V. Catts68,70 Kimberly D. Chambert38 Raymond C. K. Chan71 Ronald Y. L. Chen72 Eric Y. H. Chen72,73 Wei Cheng15 Eric F. C. Cheung74 Siow Ann Chong75 C. Robert Cloninger76 David Cohen77 Nadine Cohen78 Paul Cormican41 Nick Craddock6,42 James J. Crowley79 David Curtis80,81 Michael Davidson82 Kenneth L. Davis3 Franziska Degenhardt83,84 Jurgen Del Favero85 Ditte Demontis7,8,9 Dimitris Dikeos86 Timothy Dinan87 Srdjan Djurovic49,88 Gary Donohoe41,89 Elodie Drapeau3 Jubao Duan90,91 Frank Dudbridge92 Naser Durmishi93 Peter Eichhammer94 Johan Eriksson95,96,97 Valentina Escott-Price6 Laurent Essioux98 Ayman H. Fanous99,100,101,102 Martilias S. Farrell79 Josef Frank103 Lude Franke104 Robert Freedman105 Nelson B. Freimer106 Marion Friedl107 Joseph I. Friedman3 Menachem Fromer1,37,38,40 Giulio Genovese38 Lyudmila Georgieva6 Ina Giegling107,108 Paola Giusti-Rodríguez79 Stephanie Godard109 Jacqueline I. Goldstein37,39 Vera Golimbet110 Srihari Gopal111 Jacob Gratten112 Lieuwe de Haan113 Christian Hammer55 Marian L. Hamshere6 Mark Hansen114 Thomas Hansen8,30 Vahram Haroutunian3,25,23 Annette M. Hartmann107 Frans A. Henskens68,115,116 Stefan Herms83,84,117 Joel N. Hirschhorn39,46,118 Per Hoffmann83,84,117 Andrea Hofman83,84 Mads V. Hollegaard36 David M. Hougaard36 Masashi Ikeda119 Inge Joa120 Antonio Julia121 Rene S. Kahn66 Luba Kalaydjieva122,123 Sena Karachanak-Yankova124 Juha Karjalainen104 David Kavanagh6 Matthew C. Keller125 James L. Kennedy126,127,128 Andrey Khrunin129 Yunjung Kim79 Janis Klovins130 James A. Knowles131 Bettina Konte107 Vaidutis Kucinskas132 Zita Ausrele Kucinskiene132 Hana Kuzelova-Ptackova133 Anna K. Kahler58 Claudine Laurent51,134 Jimmy Lee Chee Keong75,135 S. Hong Lee112 Sophie E. Legge6 Bernard Lerer136 Miaoxin Li72,73,137 Tao Li138 Kung-Yee Liang139 Jeffrey Lieberman140 Svetlana Limborska129 Carmel M. Loughland68,141 Jan Lubinski142 Jouko Lonnqvist143 Milan Macek Jr133 Patrik K. E. Magnusson58 Brion S. Maher144 Wolfgang Maier145 Jacques Mallet146 Sara Marsal121 Manuel Mattheisen7,8,9,147 Morten Mattingsdal49,148 Robert W. McCarley149,150 Colm McDonald151 Andrew M. McIntosh152,153 Sandra Meier103 Carin J. Meijer113 Bela Melegh56,57 Ingrid Melle49,154 Raquelle I. Mesholam-Gately149,155 Andres Metspalu156 Patricia T. Michie68,157 Lili Milani156 Vihra Milanova158 Younes Mokrab43 Derek W. Morris41,89 Ole Mors8,9,159 Kieran C. Murphy160 Robin M. Murray161 Inez Myin-Germeys162 Bertram Muller-Myhsok163,164,165 Mari Nelis156 Igor Nenadic166 Deborah A. Nertney167 Gerald Nestadt168 Kristin K. Nicodemus169 Liene Nikitina-Zake130 Laura Nisenbaum170 Annelie Nordin171 Eadbhard O’Callaghan172 Colm O’Dushlaine38 F. Anthony O’Neill173 Sang-Yun Oh174 Ann Olincy126 Line Olsen8,64 Jim Van Os162,175 Christos Pantelis68,176 George N. Papadimitriou86 Sergi Papiol55 Elena Parkhomenko3 Michele T. Pato131 Tiina Paunio177,178 Milica Pejovic-Milovancevic179 Diana O. Perkins180 Olli Pietiläinen178,181 Jonathan Pimm81 Andrew J. Pocklington6 John Powell161 Alkes Price39,182 Ann E. Pulver168 Shaun M. Purcell1 Digby Quested183 Henrik B. Rasmussen30,43 Abraham Reichenberg3 Mark A. Reimers184 Alexander L. Richards6 Joshua L. Roffman62,64 Panos Roussos1,4 Douglas M. Ruderfer1,5,6 Veikko Salomaa97 Alan R. Sanders90,91 Ulrich Schall68,141 Christian R. Schubert185 Thomas G. Schulze103,186 Sibylle G. Schwab187 Edward M. Scolnick38 Rodney J. Scott68,188,189 Larry J. Seidman144,155 Jianxin Shi190 Engilbert Sigurdsson191 Teimuraz Silagadze192 Jeremy M. Silverman3,193 Kang Sim75 Petr Slominsky129 Jordan W. Smoller38,40 Hon-Cheong So72 Chris C. A. Spencer194 Eli A. Stahl1,2,3,4 Hreinn Stefansson195 Stacy Steinberg195 Elisabeth Stogmann196 Richard E. Straub197 Eric Strengman66,198 Jana Strohmaier103 T. Scott Stroup140 Mythily Subramaniam75 Jaana Suvisaari143 Dragan M. Svrakic76 Jin P. Szatkiewicz79 Erik Soderman47 Srinivas Thirumalai199 Draga Toncheva124 Sarah Tosato200 Juha Veijola201,202 John Waddington203 Dermot Walsh204 Dai Wang111 Qiang Wang138 Bradley T. Webb54 Mark Weiser82 Dieter B. Wildenauer205 Nigel M. Williams6 Stephanie Williams79 Stephanie H. Witt103 Aaron R. Wolen184 Emily H. M. Wong72 Brandon K. Wormley54 Hualin Simon Xi206 Clement C. Zai126,127 Xuebin Zheng207 Fritz Zimprich196 Naomi R. Wray112 Kari Stefansson195 Peter M. Visscher112 Rolf Adolfsson171 Ole A. Andreassen49,154 Douglas H. R. Blackwood153 Elvira Bramon208 Joseph D. Buxbaum2,3,24,25 Anders D. Børglum7,8,9,159 Sven Cichon83,84,117,209 Ariel Darvasi210 Enrico Domenici211 Hannelore Ehrenreich55 Tonu Esko39,46,118,156 Pablo V. Gejman90,91 Michael Gill41 Hugh Gurling81 Christina M. Hultman58 Nakao Iwata119 Assen V. Jablensky68,123,205,212 Erik G. Jonsson47,49 Kenneth S. Kendler213 George Kirov6 Jo Knight125,127,128 Todd Lencz214,215,216 Douglas F. Levinson51 Qingqin S. Li111 Jianjun Liu207,217 Anil K. Malhotra214,215,216 Steven A. McCarroll38,118 Andrew McQuillin81 Jennifer L. Moran38 Preben B. Mortensen8,32,33 Bryan J. Mowry112,218 Markus M. Nothen83,84 Roel A. Ophoff10,66,105 Michael J. Owen6,42 Aarno Palotie38,40,181 Carlos N. Pato131 Tracey L. Petryshen38,149,219 Danielle Posthuma220,221,222 Marcella Rietschel103 Brien P. Riley213 Dan Rujescu107,108 Pak C. Sham72,73,137 Pamela Sklar1,2,3,4,25 David St Clair223 Daniel R. Weinberger197,224 Jens R. Wendland185 Thomas Werge8,30,225 Mark J. Daly37,38,39 Patrick F. Sullivan58,79,180 Michael C. O’Donovan6,42 20Integrated Technology Research Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Japan. 21Neuropsychiatry Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 22Neuropsychiatric Signaling Program, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 23Psychiatry, JJ Peters Virginia Medical Center, Bronx, NY, USA. 24Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA. 25Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 26Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 27CNS Drug Discovery Unit, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Japan. 28F. Hoffman-La Roche Ltd, Basel, Switzerland. 29Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark. 30Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark. 31Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. 32National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark. 33Centre for Integrated Registerbased Research, Aarhus University, Aarhus, Denmark. 34Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark. 35Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark. 36Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark. 37Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. 38Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. 39Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA. 40Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. 41Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 42NationalCentre for Mental Health, Cardiff University, Cardiff, UK. 43Eli Lilly and Company Limited, Erl Wood Manor, Sunninghill Road, Windlesham, Surrey, UK. 44Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London, UK. 45Center for BiologicalSequence Analysis, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark. 46Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, MA, USA. 47Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden. 48Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway. 49NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway. 50State Mental Hospital, Haar, Germany. 51Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. 52Department of Psychiatry and Behavioral Sciences, Atlanta Veterans Affairs Medical Center, Atlanta, GA, USA. 53Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA. 54Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA. 55Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Gottingen, Germany. 56Department of Medical Genetics, University of Pécs, Pécs, Hungary. 57Szentagothai Research Center, University of Pécs, Pécs, Hungary. 58Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 59Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA. 60University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands. 61School of Nursing, Louisiana State University Health Sciences Center, New Orleans, LA, USA. 62Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA, USA. 63Center for Brain Science, Harvard University, Cambridge, MA, USA. 64Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. 65Department of Psychiatry, University of California at San Francisco, San Francisco, CA, USA. 66University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands. 67Centre Hospitalier du Rouvray and INSERM U1079 Faculty of Medicine, Rouen, France. 68Schizophrenia Research Institute, Sydney, New South Wales, Australia. 69School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia. 70Royal Brisbane and Women’s Hospital, University of Queensland, Brisbane, Queensland, Australia. 71Institute of Psychology, Chinese Academy of Science, Beijing, China. 72Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. 73State Key Laboratory for Brain and Cognitive Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. 74Castle Peak Hospital, Hong Kong, China. 75Institute of Mental Health, Singapore, Singapore. 76Department of Psychiatry, Washington University, St. Louis, MO, USA. 77Department of Child and Adolescent Psychiatry, Assistance Publique Hopitaux de Paris, Pierre and Marie Curie Faculty of Medicine and Institute for Intelligent Systems and Robotics, Paris, France. 78Blue Note Biosciences, Princeton, NJ, USA. 79Department of Genetics, University of North Carolina, Chapel Hill, NC, USA. 80Department of Psychological Medicine, Queen Mary University of London, London, UK. 81Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK. 82Sheba Medical Center, Tel Hashomer, Israel. 83Department of Genomics, Life and Brain Center, Bonn, Germany. 84Institute of Human Genetics, University of Bonn, Bonn, Germany. 85AppliedMolecular Genomics Unit, VIB Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium. 86First Department of Psychiatry, University of Athens Medical School, Athens, Greece. 87Department of Psychiatry, University College Cork, Co, Cork, Ireland. 88Department of Medical Genetics, Oslo University Hospital, Oslo, Norway. 89Cognitive Genetics and Therapy Group, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Co, Galway, Ireland. 90Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA. 91Department of Psychiatry and Behavioral Sciences, North Shore University Health System, Evanston, IL, USA. 92Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. 93Department of Child and Adolescent Psychiatry, University Clinic of Psychiatry, Skopje, Republic of Macedonia. 94Department of Psychiatry, University of Regensburg, Regensburg, Germany. 95Department of General Practice, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland. 96Folkhälsan Research Center, Helsinki, Finland, Biomedicum Helsinki, Helsinki, Finland. 97National Institute for Health and Welfare, Helsinki, Finland. 98Translational Technologies and Bioinformatics, Pharma Research and Early Development, F. Hoffman-La Roche, Basel, Switzerland. 99Department of Psychiatry, Georgetown University School of Medicine, Washington, DC, USA. 100Department of Psychiatry, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA. 101Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. 102Mental Health Service Line, Washington VA Medical Center, Washington, DC, USA. 103Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Mannheim, Germany. 104Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands. 105Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA. 106Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA. 107Department of Psychiatry, University of Halle, Halle, Germany. 108Department of Psychiatry, University of Munich, Munich, Germany. 109Departments of Psychiatry and Human and Molecular Genetics, INSERM, Institut de Myologie, Hôpital de la Pitiè-Salpêtrière, Paris, France. 110Mental Health Research Centre, Russian Academy of Medical Sciences, Moscow, Russia. 111Neuroscience Therapeutic Area, Janssen Research and Development, Raritan, NJ, USA. 112Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia. 113Academic Medical Centre University of Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands. 114Illumina, La Jolla, CA, USA. 115Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia. 116School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, New South Wales, Australia. 117Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland. 118Department of Genetics, Harvard Medical School, Boston, MA, USA. 119Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan. 120Regional Centre for Clinical Researchin Psychosis, Department of Psychiatry, Stavanger University Hospital, Stavanger, Norway. 121Rheumatology Research Group, Vall d’Hebron Research Institute, Barcelona, Spain. 122Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia. 123The Perkins Institute for Medical Research, The University of Western Australia, Perth, Western Australia, Australia. 124Department of Medical Genetics, Medical University, Sofia, Bulgaria. 125Department of Psychology, University of Colorado Boulder, Boulder, CO, USA. 126Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada. 127Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. 128Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada. 129Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia. 130Latvian Biomedical Research and Study Centre, Riga, Latvia. 131Department of Psychiatry and Zilkha Neurogenetics Institute, Keck School of Medicine at University of Southern California, Los Angeles, CA, USA. 132Faculty of Medicine, Vilnius University, Vilnius, Lithuania. 133Department of Biology and Medical Genetics, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic. 134Department of Child and Adolescent Psychiatry, Pierre and Marie Curie Faculty of Medicine, Paris, France. 135Duke-NUS Graduate Medical School, Singapore, Singapore. 136Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. 137Centre for Genomic Sciences, The University of Hong Kong, Hong Kong, China. 138Mental Health Centre and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China. 139Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. 140Department of Psychiatry, Columbia University, New York, New York, NY, USA. 141Priority Centre for Translational Neuroscience and Mental Health, University of Newcastle, Newcastle, New South Wales, Australia. 142Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, Szczecin, Poland. 143Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland. 144Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. 145Department of Psychiatry, University of Bonn, Bonn, Germany. 146Centre National de la Recherche Scientifique, Laboratoire de Génétique Moléculaire de la Neurotransmission et des Processus Neurodénégératifs, Hôpital de la Pitiè-Salpêtrière, Paris, France. 147Department of Genomics Mathematics, University of Bonn, Bonn, Germany. 148Research Unit, Sørlandet Hospital, Kristiansand, Norway. 149Department of Psychiatry, Harvard Medical School, Boston, MA, USA. 150VA Boston Health Care System, Brockton, MA, USA. 151Department of Psychiatry, National University of Ireland Galway, Co, Galway, Ireland. 152Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. 153Division of Psychiatry, University of Edinburgh, Edinburgh, UK. 154Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 155Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA. 156Estonian Genome Center, University of Tartu, Tartu, Estonia. 157School of Psychology, University of Newcastle, Newcastle, New South Wales, Australia. 158First Psychiatric Clinic, Medical University, Sofia, Bulgaria. 159Department P, Aarhus University Hospital, Risskov, Denmark. 160Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland. 161King’s College London, London, UK. 162Maastricht University Medical Centre, South Limburg Mental Health Research and TeachingNetwork, EURON, Maastricht, the Netherlands. 163Institute of Translational Medicine, University of Liverpool, Liverpool, UK. 164Max Planck Institute of Psychiatry, Munich, Germany. 165Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. 166Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. 167Department of Psychiatry, Queensland Brain Institute and Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia. 168Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 169Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 170Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA. 171Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden. 172DETECT Early Intervention Service for Psychosis, Blackrock, Co, Dublin, Ireland. 173Centre for Public Health, Institute of Clinical Sciences, Queen’s University Belfast, Belfast, UK. 174Lawrence Berkeley National Laboratory, University of California at Berkeley, Berkeley, CA, USA. 175Institute of Psychiatry, King’s College London, London, UK. 176Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, Victoria, Australia. 177Department of Psychiatry, University of Helsinki, Helsinki, Finland. 178Public Health Genomics Unit, National Institute for Health and Welfare, Helsinki, Finland. 179Medical Faculty, University of Belgrade, Belgrade, Serbia. 180Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA. 181Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Helsinki, Finland. 182Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA. 183Department of Psychiatry, University of Oxford, Oxford, UK. 184Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA. 185Pharma Therapeutics Clinical Research, Pfizer Worldwide Research and Development, Cambridge, MA, USA. 186Department of Psychiatry and Psychotherapy, University of Gottingen, Göttingen, Germany. 187Psychiatry and Psychotherapy Clinic, University of Erlangen, Erlangen, Germany. 188Hunter New England Health Service, Newcastle, New South Wales, Australia. 189School of Biomedical Sciences, University of Newcastle, Newcastle, New South Wales, Australia. 190Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. 191University of Iceland, Landspitali, National University Hospital, Reykjavik, Iceland. 192Department of Psychiatry and Drug Addiction, Tbilisi State Medical University (TSMU), Tbilisi, Georgia. 193Research and Development, Bronx Veterans Affairs Medical Center, New York, NY, USA. 194WellcomeTrust Centre for Human Genetics, Oxford, UK. 195deCODE Genetics, Reykjavik, Iceland. 196Department of Clinical Neurology, Medical University of Vienna, Wien, Austria. 197Lieber Institute for Brain Development, Baltimore, MD, USA. 198Department of Medical Genetics, University Medical Centre Utrecht, Utrecht, the Netherlands. 199Berkshire Healthcare NHS Foundation Trust, Bracknell, UK. 200Section of Psychiatry, University of Verona, Verona, Italy. 201Department of Psychiatry, University of Oulu, Oulu, Finland. 202University Hospital of Oulu, Oulu, Finland. 203Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland. 204Health Research Board, Dublin, Ireland. 205School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Western Australia, Australia. 206Computational Sciences CoE, Pfizer Worldwide Research and Development, Cambridge, MA, USA. 207Human Genetics, Genome Institute of Singapore, A*STAR, Singapore, Singapore. 208University College London, London, UK. 209Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany. 210Department of Genetics, The Hebrew University of Jerusalem, Jerusalem, Israel. 211NeuroscienceDiscovery and Translational Area, Pharma Research and Early Development, F. Hoffman-La Roche, Basel, Switzerland. 212Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Medical Research Foundation Building, Perth, Western Australia, Australia. 213Virginia Institute for Psychiatric and Behavioral Genetics, Departments of Psychiatry and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA. 214The Feinstein Institute for Medical Research, Manhasset, NY, USA. 215The Hofstra NS-LIJ School of Medicine, Hempstead, NY, USA. 216The Zucker Hillside Hospital, Glen Oaks, NY, USA. 217Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. 218Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia. 219Center for HumanGenetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. 220Department of Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, the Netherlands. 221Department of Complex Trait Genetics, Neuroscience Campus Amsterdam, VU University Medical Center Amsterdam, Amsterdam, the Netherlands. 222Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, the Netherlands. 223University of Aberdeen, Institute of Medical Sciences, Aberdeen, UK. 224Departments of Psychiatry, Neurology, Neuroscience and Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA. 225Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
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- 2019
26. Suicide among adults aged 30–49: A psychological autopsy study in Hong Kong
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Chan Sandra SM, Chen Eric YH, Chan Wincy SC, Wong Paul WC, Law YW, and Yip Paul SF
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Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background A surge in suicide rates in middle age people in Hong Kong and many Asian countries was recently observed. However, there is a paucity of suicide research on this subgroup of people in Asia. Methods The next-of-kin of 85 suicide cases and 85 community subjects aged 30–49 years were interviewed by a psychological autopsy approach. Information was triangulated by interview notes, coroner's court files, and police investigation reports. Results A multiple logistic regression analysis identified the following risk factors for suicide among the middle age people in Hong Kong: the presence of at least one psychiatric disorder (OR = 37.5, 95% CI 11.5–121.9, p < 0.001), indebtedness (OR = 9.4, 95% CI 2.2–40.8, p < 0.01), unemployment (OR = 4.8, 95% CI 1.3–17.5, p < 0.05), never married (OR = 4.2, 95% CI 1.1–16.3, p < 0.05), and lived alone (OR = 3.9, 95% CI 1.2–13.4, p < 0.05). Conclusion The data show that socio-economical factors had a strong impact on suicide in the target group. Further research is needed to explore any positive qualities that protect the middle-aged from suicide. The prevention of suicide in the middle-aged requires multiple strategies.
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- 2008
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27. Predicting first-episode psychosis patients who will never relapse over 10 years
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Hui, Christy LM, primary, Honer, William G, additional, Lee, Edwin HM, additional, Chang, WC, additional, Chan, Sherry KW, additional, Chen, Emily SM, additional, Pang, Edwin PF, additional, Lui, Simon SY, additional, Chung, Dicky WS, additional, Yeung, WS, additional, Ng, Roger MK, additional, Lo, William TL, additional, Jones, Peter B, additional, Sham, Pak, additional, and Chen, Eric YH, additional
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- 2018
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28. F62. RISKY DECISION-MAKING PERFORMANCE IN PATIENTS WITH EARLY SCHIZOPHRENIA-SPECTRUM DISORDER
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Luk, Sin Ki, primary, Lee, Tatia M C, additional, Chen, Eric YH, additional, and Chang, Wing Chung, additional
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- 2018
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29. Association Between Acute Neuropsychiatric Events and Helicobacter pylori Therapy Containing Clarithromycin
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Wong, Angel YS, Wong, Ian CK, Chui, Celine SL, Lee, Edwin HM, Chang, WC, Chen, Eric YH, Leung, Wai K, and Chan, Esther W
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IMPORTANCE: There is a concern that Helicobacter pylori therapy containing clarithromycin might be associated with acute neuropsychiatric events. OBJECTIVE: To examine the association between H pylori therapy containing clarithromycin and acute neuropsychiatric events. DESIGN, SETTING, AND PARTICIPANTS: A self-controlled case series study was conducted using the Clinical Data Analysis and Reporting System database in Hong Kong to explore any association. The exposure of interest was H pylori therapy containing clarithromycin in the outpatient setting. Study patients, 18 years or older at cohort entry, must have had both exposure to H pylori therapy containing clarithromycin and their first recorded neuropsychiatric events between January 1, 2003, and December 31, 2012. A post hoc nested case-control analysis was also performed in patients receiving H pylori therapy containing clarithromycin. MAIN OUTCOMES AND MEASURES: The primary outcome was composite neuropsychiatric events, while secondary outcomes were psychotic events and cognitive impairment. Risk periods in the self-controlled case series analysis were defined as 14-day preexposure period, current use (days 1-14 since prescription start date) and recent use (days 15-30). Age-adjusted incidence rate ratios (IRR) were estimated using the conditional Poisson regression. RESULTS: Of 66 559 patients who had at least 1 outpatient prescription of H pylori therapy containing clarithromycin. Their mean (SD) age at cohort entry was 50.8 (14.8 years); their mean age at first exposure was 55.4 (14.8) years, and 30 910 were male (46.4%). A total of 1824 patients had their first recorded composite neuropsychiatric events during the study period. An increased IRR of 4.12 (35 composite neuropsychiatric events during 72 person-years; 95% CI, 2.94-5.76) during current use was observed but not in recent use (9 events during 82 person-years; IRR, 0.95; 95% CI, 0.49-1.83) and 14-day preexposure period (14 events during 72 person-years; IRR, 1.63; 95% CI, 0.96-2.77) vs baseline (1766 events during 16 665 person-years). Similarly, both the risk of psychotic events and cognitive impairment increased during current use vs baseline, although this subsequently returned to baseline incidence levels during recent use. The crude absolute risks of composite neuropsychiatric events, psychotic events, and cognitive impairment during current use were 0.45, 0.12, and 0.12 per 1000 prescriptions, respectively. The nested case-control analysis also gave similar results to that of the self-controlled case series analysis. CONCLUSIONS AND RELEVANCE: This study shows evidence of a short-term increased risk of neuropsychiatric events associated with H pylori therapy containing clarithromycin.
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- 2016
30. Yoga reduces the brain's amplitude of low-frequency fluctuations in patients with early psychosis results of a randomized controlled trial
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Lin, Jingxia, primary, Geng, Xiujuan, additional, Lee, Edwin HM, additional, Chan, Sherry KW, additional, Chang, Wing Chung, additional, Hui, Christy LM, additional, Tse, Michael, additional, Chan, Cecilia LW, additional, Khong, PL, additional, Honer, William G, additional, and Chen, Eric YH, additional
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- 2017
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31. 22. The Effects of Antidepressant use on Clinical Outcomes in the NEURAPRO-E Trial
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Amminger, G. Paul, primary, Nelson, Barnaby, additional, Markulev, Connie, additional, Yuen, Hok Pan, additional, Schaefer, Miriam, additional, Mossaheb, Nilu, additional, Schloegelhofer, Monika, additional, Smesny, Stefan, additional, Hickie, Ian, additional, Berger, Gregor, additional, Chen, Eric YH, additional, de Haan, Lieuwe, additional, Nieman, Dorien, additional, Nordentoft, Merete, additional, Riecher-Rössler, Anita, additional, Verma, Swapna, additional, Thompson, Andrew, additional, Yung, Alison, additional, and McGorry, Patrick, additional
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- 2017
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32. SA28. Reinforcement Learning Impairment Medication-Naive First-Episode Psychosis Patients
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Chang, Wing Chung, primary, Lee, Vanessa HC, additional, Chan, Suet In, additional, Waltz, James, additional, Gold, James, additional, Hui, Christy LM, additional, Chan, Sherry KW, additional, Lee, Edwin HM, additional, Chen, Eric YH, additional, and Chan, Kit Wa Sherry, additional
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- 2017
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33. 150. Maintenance Discontinuation After First Episode Psychosis May Increase Treatment Non-Responsiveness: 10-Year Follow-Up of an RCT
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Chen, Eric YH, primary and Hui, Christy LM, additional
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- 2017
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34. Predicting first-episode psychosis patients who will never relapse over 10 years.
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Hui, Christy LM, Honer, William G, Lee, Edwin HM, Chang, WC, Chan, Sherry KW, Chen, Emily SM, Pang, Edwin PF, Lui, Simon SY, Chung, Dicky WS, Yeung, WS, Ng, Roger MK, Lo, William TL, Jones, Peter B, Sham, Pak, and Chen, Eric YH
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DIAGNOSIS of schizophrenia ,COGNITION ,NEUROPSYCHOLOGICAL tests ,MEMORY ,MULTIVARIATE analysis ,PROGNOSIS ,PSYCHOSES ,RISK assessment ,STATISTICS ,DISEASE relapse ,LOGISTIC regression analysis ,TERMINATION of treatment ,POSITIVE psychology ,SEVERITY of illness index ,TREATMENT delay (Medicine) - Abstract
Background: Although relapse in psychosis is common, a small proportion of patients will not relapse in the long term. We examined the proportion and predictors of patients who never relapsed in the 10 years following complete resolution of positive symptoms from their first psychotic episode. Method: Patients who previously enrolled in a 12-month randomized controlled trial on medication discontinuation and relapse following first-episode psychosis (FEP) were followed up after 10 years. Relapse of positive symptoms was operationalized as a change from a Clinical Global Impression scale positive score of <3 for at least 3 consecutive months to a score of ⩾3 (mild or more severe). Baseline predictors included basic demographics, premorbid functioning, symptoms, functioning, and neurocognitive functioning. Results: Out of 178 first-episode patients, 37 (21%) never relapsed during the 10-year period. Univariate predictors (p ⩽ 0.1) of patients who never relapsed included a duration of untreated psychosis (DUP) ⩽30 days, diagnosed with non-schizophrenia spectrum disorders, having less severe negative symptoms, and performing better in logical memory immediate recall and verbal fluency tests. A multivariate logistic regression analysis further suggested that the absence of any relapsing episodes was significantly related to better short-term verbal memory, shorter DUP, and non-schizophrenia spectrum disorders. Conclusions: Treatment delay and neurocognitive function are potentially modifiable predictors of good long-term prognosis in FEP. These predictors are informative as they can be incorporated into an optimum risk prediction model in the future, which would help with clinical decision making regarding maintenance treatment in FEP. [ABSTRACT FROM AUTHOR]
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- 2019
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35. Aerobic exercise and yoga improve neurocognitive function in women with early psychosis
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Lin, Jingxia, primary, Chan, Sherry KW, additional, Lee, Edwin HM, additional, Chang, Wing Chung, additional, Tse, Michael, additional, Su, Wayne Weizhong, additional, Sham, Pak, additional, Hui, Christy LM, additional, Joe, Glen, additional, Chan, Cecilia LW, additional, Khong, P L, additional, So, Kwok Fai, additional, Honer, William G, additional, and Chen, Eric YH, additional
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- 2015
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36. Genetics of Schizophrenia Spectrum Disorders: Looking Back and Peering Ahead
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So, Hon-Cheong, primary, Chen, Eric YH, additional, and Sham, Pak C, additional
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- 2009
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37. Potential Endophenotype for Schizophrenia: Neurological Soft Signs
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Hui, Christy LM, primary, Wong, Gloria HY, additional, Chiu, Cindy PY, additional, Lam, May ML, additional, and Chen, Eric YH, additional
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- 2009
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38. Suicide among adults aged 30–49: A psychological autopsy study in Hong Kong
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Wong, Paul WC, primary, Chan, Wincy SC, additional, Chen, Eric YH, additional, Chan, Sandra SM, additional, Law, YW, additional, and Yip, Paul SF, additional
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- 2008
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39. Anti-psychotics adherence among out-patients with schizophrenia in Hong Kong
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Hui, Christy LM, primary, Chen, Eric YH, additional, Kan, CS, additional, Yip, KC, additional, Law, CW, additional, and Chiu, Cindy PY, additional
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- 2006
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40. 10Kin1day: A Bottom-Up Neuroimaging Initiative
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Van Den Heuvel, Martijn P, Scholtens, Lianne H, Van Der Burgh, Hannelore K, Agosta, Federica, Alloza, Clara, Arango, Celso, Auyeung, Bonnie, Baron-Cohen, Simon, Basaia, Silvia, Benders, Manon JNL, Beyer, Frauke, Booij, Linda, Braun, Kees PJ, Filho, Geraldo Busatto, Cahn, Wiepke, Cannon, Dara M, Chaim-Avancini, Tiffany M, Chan, Sandra SM, Chen, Eric YH, Crespo-Facorro, Benedicto, Crone, Eveline A, Dannlowski, Udo, De Zwarte, Sonja MC, Dietsche, Bruno, Donohoe, Gary, Plessis, Stefan Du, Durston, Sarah, Díaz-Caneja, Covadonga M, Díaz-Zuluaga, Ana M, Emsley, Robin, Filippi, Massimo, Frodl, Thomas, Gorges, Martin, Graff, Beata, Grotegerd, Dominik, Gąsecki, Dariusz, Hall, Julie M, Holleran, Laurena, Holt, Rosemary, Hopman, Helene J, Jansen, Andreas, Janssen, Joost, Jodzio, Krzysztof, Jäncke, Lutz, Kaleda, Vasiliy G, Kassubek, Jan, Masouleh, Shahrzad Kharabian, Kircher, Tilo, Koevoets, Martijn GJC, Kostic, Vladimir S, Krug, Axel, Lawrie, Stephen M, Lebedeva, Irina S, Lee, Edwin HM, Lett, Tristram A, Lewis, Simon JG, Liem, Franziskus, Lombardo, Michael V, Lopez-Jaramillo, Carlos, Margulies, Daniel S, Markett, Sebastian, Marques, Paulo, Martínez-Zalacaín, Ignacio, McDonald, Colm, McIntosh, Andrew M, McPhilemy, Genevieve, Meinert, Susanne L, Menchón, José M, Montag, Christian, Moreira, Pedro S, Morgado, Pedro, Mothersill, David O, Mérillat, Susan, Müller, Hans-Peter, Nabulsi, Leila, Najt, Pablo, Narkiewicz, Krzysztof, Naumczyk, Patrycja, Oranje, Bob, Ortiz-Garcia De La Foz, Victor, Peper, Jiska S, Pineda, Julian A, Rasser, Paul E, Redlich, Ronny, Repple, Jonathan, Reuter, Martin, Rosa, Pedro GP, Ruigrok, Amber NV, Sabisz, Agnieszka, Schall, Ulrich, Seedat, Soraya, Serpa, Mauricio H, Skouras, Stavros, Soriano-Mas, Carles, Sousa, Nuno, Szurowska, Edyta, Tomyshev, Alexander S, Tordesillas-Gutierrez, Diana, Valk, Sofie L, Van Den Berg, Leonard H, Van Erp, Theo GM, Van Haren, Neeltje EM, Van Leeuwen, Judith MC, Villringer, Arno, Vinkers, Christiaan H, Vollmar, Christian, Waller, Lea, Walter, Henrik, Whalley, Heather C, Witkowska, Marta, Witte, A Veronica, Zanetti, Marcus V, Zhang, Rui, and De Lange, Siemon C
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connectome analysis ,diffusion weighted MRI ,brain ,network ,3. Good health ,MRI - Abstract
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain.
41. Duration of untreated psychosis (DUP) and outcome of people with schizophrenia in rural China: 14-year follow-up study.
- Author
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Ran MS, Xiao Y, Chui CHK, Hu XZ, Yu YH, Peng MM, Mao WJ, Liu B, Chen Eric YH, and Chan CL
- Subjects
- Adolescent, Adult, Aged, China epidemiology, Community Mental Health Services trends, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Middle Aged, Prospective Studies, Psychotic Disorders diagnosis, Suicide, Attempted, Time Factors, Treatment Outcome, Young Adult, Psychotic Disorders epidemiology, Psychotic Disorders psychology, Rural Population trends, Schizophrenia diagnosis, Schizophrenia epidemiology, Schizophrenic Psychology
- Abstract
This study aims to examine the relationship between the duration of untreated psychosis (DUP) and 14-year outcomes of schizophrenia in a Chinese rural area. Participants with schizophrenia (n = 510) were identified in an epidemiological investigation of 123 572 people aged 15 years and older in 1994 and followed up in 2008 in Xinjin, Chengdu, China. Longer DUP (>6 months) was common in participants (27.3%). In 1994, participants with DUP ≤ 6 months were more likely to have a significantly lower rate of suicide attempts, shorter duration of illness and higher rate of full remission compared with those with DUP > 6 months. No significant differences were found regarding the rates of survival, suicide, death due to other causes and homelessness between individuals with shorter and longer DUP in 2008. Nevertheless, longer DUP (>6 months) of participants in 2008 was significantly associated with higher mean of PANSS total negative and general mental scores, longer duration of illness and higher rate of live alone in the logistic regression model. Earlier identification, treatment and rehabilitation, and family intervention should be addressed when developing mental health policies and delivering community mental health services., (Copyright © 2018 Elsevier B.V. All rights reserved.)
- Published
- 2018
- Full Text
- View/download PDF
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