2019 Journal Article Reply to: New meta- and mega-analyses of Magnetic Resonance Imaging findings in schizophrenia: do they really increase our knowledge about the nature of the disease process?van Erp, Theo G.M., Walton, Esther, Hibar, Derrek P., Schmaal, Lianne, Jiang, Wenhao, Glahn, David C., Pearlson, Godfrey D., Yao, Nailin, Fukunaga, Masaki, Hashimoto, Ryota, Okada, Naohiro, Yamamori, Hidenaga, Clark, Vincent P., Mueller, Bryon A., de Zwarte, Sonja M.C., Ophoff, Roel A., van Haren, Neeltje E.M., Andreassen, Ole A., Gurholt, Tiril P., Gruber, Oliver, Kraemer, Bernd, Richter, Anja, Calhoun, Vince D., Crespo-Facorro, Benedicto, Roiz-Santiañez, Roberto, Tordesillas-Gutiérrez, Diana, Loughland, Carmel, Catts, Stanley, Fullerton, Janice M. ... Turner, Jessica A. (2019). Reply to: New meta- and mega-analyses of Magnetic Resonance Imaging findings in schizophrenia: do they really increase our knowledge about the nature of the disease process?. Biological Psychiatry, 85 (7), e35-e39. doi: 10.1016/j.biopsych.2018.10.003 |
2019 Journal Article Population-based identity-by-descent mapping combined with exome sequencing to detect rare risk variants for schizophreniaHarold, Denise, Connolly, Siobhan, Riley, Brien P., Kendler, Kenneth S., McCarthy, Shane E., McCombie, William R., Richards, Alex, Owen, Michael J., O'Donovan, Michael C., Walters, James, Donnelly, Peter, Bates, Lesley, Barroso, Ines, Blackwell, Jenefer M., Bramon, Elvira, Brown, Matthew A., Casas, Juan P., Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S., Mathew, Christopher G., Palmer, Colin N. A., Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J., Trembath, Richard C., Viswanathan, Ananth C. ... Morris, Derek W. (2019). Population-based identity-by-descent mapping combined with exome sequencing to detect rare risk variants for schizophrenia. American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics, 180 (3), 223-231. doi: 10.1002/ajmg.b.32716 |
2019 Journal Article Gene expression imputation across multiple brain regions provides insights into schizophrenia riskHuckins, Laura M., Dobbyn, Amanda, Ruderfer, Douglas M., Hoffman, Gabriel, Wang, Weiqing, Pardiñas, Antonio F., Rajagopal, Veera M., Als, Thomas D., T. Nguyen, Hoang, Girdhar, Kiran, Boocock, James, Roussos, Panos, Fromer, Menachem, Kramer, Robin, Domenici, Enrico, Gamazon, Eric R., Purcell, Shaun, 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. ... Stahl, Eli A. (2019). Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature Genetics, 51 (4), 659-674. doi: 10.1038/s41588-019-0364-4 |
2019 Conference Publication First genome-wide association study of schizophrenia in an Indian population reveals a novel susceptibility locusPeriyasamy, Sathish, John, Sujit, Padmavati, Raman, Rajendren, Preeti, Thirunavukkarasu, Priyadarshini, Gratten, Jacob, Holliday, Elizabeth, Bakshi, Andrew, Jorde, Lynn, Brown, Matthew, Wray, Naomi, Suetani, Rachel, Giacomotto, Jean, Thara, Rangaswamy and Mowry, Bryan (2019). First genome-wide association study of schizophrenia in an Indian population reveals a novel susceptibility locus. 26th World Congress of Psychiatric Genetics (WCPG), Glasgow, Scotland, 11-15 October 2018. Amsterdam, The Netherlands: Elsevier . doi: 10.1016/j.euroneuro.2018.08.017 |
2019 Journal Article A polygenic resilience score moderates the genetic risk for schizophreniaHess, Jonathan L., Tylee, Daniel S., Mattheisen, Manuel, Adolfsson, Rolf, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Andreassen, Ole A, Arranz, Maria J, Bacanu, Silviu A, Bakker, Steven, Band, Gavin, Barroso, Ines, Begemann, Martin, Bellenguez, Céline, Belliveau, Richard A, Bender, Stephan, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Blackburn, Hannah, Blackwell, Jenefer M, Blackwood, Douglas H R, Bramon, Elvira, Brown, Matthew A ... Glatt, Stephen J. (2019). A polygenic resilience score moderates the genetic risk for schizophrenia. Molecular Psychiatry, 26 (3), 800-815. doi: 10.1038/s41380-019-0463-8 |
2019 Conference Publication Modelling the impact of schizophrenia gwas loci during human brain development using spatio-temporal gene expression dataPeriyasamy, Sathish and Mowry, Bryan (2019). Modelling the impact of schizophrenia gwas loci during human brain development using spatio-temporal gene expression data. 26th World Congress of Psychiatric Genetics (WCPG), Glasgow, Scotland, 11-15 October 2018. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.euroneuro.2018.08.489 |
2018 Journal Article Neural correlates of dynamic emotion perception in schizophrenia and the influence of prior expectationsDzafic, Ilvana, Burianová, Hana, Martin, Andrew K. and Mowry, Bryan (2018). Neural correlates of dynamic emotion perception in schizophrenia and the influence of prior expectations. Schizophrenia Research, 202, 129-137. doi: 10.1016/j.schres.2018.06.015 |
2018 Journal Article Dopamine perturbation of gene co-expression networks reveals differential response in schizophrenia for translational machineryKos, Mark Z., Duan, Jubao, Sanders, Alan R., Blondell, Lucy, Drigalenko, Eugene I., Carless, Melanie A., Gejman, Pablo V., Göring, Harald H. H., Gejman, P. V., Sanders, A. R., Duan, J., Levinson, D. F., Shi, J., Buccola, N. G., Mowry, B. J., Freedman, R., Olincy, A., Amin, F., Black, D. W., Silverman, J. M., Byerley, W. F., Cloninger, C. R. and Svrakic, D. M. (2018). Dopamine perturbation of gene co-expression networks reveals differential response in schizophrenia for translational machinery. Translational Psychiatry, 8 (1) 278. doi: 10.1038/s41398-018-0325-1 |
2018 Journal Article Transcriptomic signatures of schizophrenia revealed by dopamine perturbation in an ex vivo modelDuan, Jubao, Göring, Harald H. H., Sanders, Alan R., Moy, Winton, Freda, Jessica, Drigalenko, Eugene I., Kos, Mark, He, Deli, Gejman, Pablo V., Gejman, P. V., MGS, Sanders, A. R., Duan, J., Levinson, D. F., Shi, J., Buccola, N. G., Mowry, B. J., Freedman, R., Olincy, A., Amin, F., Black, D. W., Silverman, J. M., Byerley, W. F., Cloninger, C. R. and Svrakic, D. M. (2018). Transcriptomic signatures of schizophrenia revealed by dopamine perturbation in an ex vivo model. Translational Psychiatry, 8 (1) 158. doi: 10.1038/s41398-018-0216-5 |
2018 Journal Article Association between schizophrenia polygenic risk and neural correlates of emotion perceptionDzafic, Ilvana, Burianová, Hana, Periyasamy, Sathish and Mowry, Bryan (2018). Association between schizophrenia polygenic risk and neural correlates of emotion perception. Psychiatry research: Neuroimaging, 276, 33-40. doi: 10.1016/j.pscychresns.2018.04.005 |
2018 Journal Article A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed frameworkLeBlanc, Marissa, Zuber, Verena, Thompson, Wesley K., Andreassen, Ole A., Frigessi, Arnoldo, Andreassen, Bettina Kulle, Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T. R., Farh, Kai-How, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David, Huang, Hailiang, Pers, Tune, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A., Bene, Judit, Bevilacqua, Elizabeth, Bigdeli, Tim B., Black, Donald W., Bruggeman, Richard ... Schizophrenia and Bipolar Disorder Working Groups of the Psychiatric Genomics Consortium (2018). A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework. BMC Genomics, 19 (1) 494. doi: 10.1186/s12864-018-4859-7 |
2018 Journal Article Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypesRuderfer, Douglas M., Ripke, Stephan, McQuillin, Andrew, Boocock, James, Stahl, Eli A., Pavlides, Jennifer M. Whitehead, Mullins, Niamh, Charney, Alexander W., Ori, Anil P.S., 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 ... Kendler, Kenneth S. (2018). Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes. Cell, 173 (7), 1705-1715.e16. doi: 10.1016/j.cell.2018.05.046 |
2018 Journal Article Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control cubjects via the enhancing neuro imaging genetics through meta analysis (ENIGMA) consortiumvan Erp, Theo G. M., Walton, Esther, Hibar, Derrek P., Schmaal, Lianne, Jiang, Wenhao, Glahn, David C., Pearlson, Godfrey D., Yao, Nailin, Fukunaga, Masaki, Hashimoto, Ryota, Okada, Naohiro, Yamamori, Hidenaga, Bustillo, Juan R., Clark, Vincent P., Agartz, Ingrid, Mueller, Bryon A., Cahn, Wiepke, de Zwarte, Sonja M. C., Hulshoff Pol, Hilleke E., Kahn, René S., Ophoff, Roel A., van Haren, Neeltje E. M., Andreassen, Ole A., Dale, Anders M., Doan, Nhat Trung, Gurholt, Tiril P., Hartberg, Cecilie B., Haukvik, Unn K., Jørgensen, Kjetil N. ... Turner, Jessica A. (2018). Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control cubjects via the enhancing neuro imaging genetics through meta analysis (ENIGMA) consortium. Biological Psychiatry, 84 (9), 644-654. doi: 10.1016/j.biopsych.2018.04.023 |
2018 Journal Article Replication of GWAS identified miR-137 and its target gene polymorphisms in Schizophrenia of South Indian population and meta-analysis with Psychiatric Genomics ConsortiumSudesh, Ravi, Thalamuthu, Anbupalam, John, Sujit, Thara, Rangaswamy, Mowry, Bryan and Munirajan, Arasamabattu Kannan (2018). Replication of GWAS identified miR-137 and its target gene polymorphisms in Schizophrenia of South Indian population and meta-analysis with Psychiatric Genomics Consortium. Schizophrenia Research, 199, 189-194. doi: 10.1016/j.schres.2018.03.028 |
2017 Journal Article Correlates of employment interest among adults with schizophreniaWestcott, Cassandra, Waghorn, Geoffrey, McLean, Duncan, Statham, Dixie and Mowry, Bryan (2017). Correlates of employment interest among adults with schizophrenia. International Journal of Therapy and Rehabilitation, 24 (12), 510-519. doi: 10.12968/ijtr.2017.24.12.510 |
2017 Journal Article Genome-wide association study of male sexual orientationSanders, Alan R., Beecham, Gary W., Guo, Shengru, Dawood, Khytam, Rieger, Gerulf, Badner, Judith A., Gershon, Elliot S., Krishnappa, Ritesha S., Kolundzija, Alana B., Duan, Jubao, Shi, Jianxin, Levinson, Douglas F., Mowry, Bryan J., Olincy, Ann, Amin, Farooq, Cloninger, C. Robert, Svrakic, Dragan M., Silverman, Jeremy M., Buccola, Nancy G., Byerley, William F., Black, Donald W., Freedman, Robert, Gejman, Pablo V., Bailey, J. Michael, Martin, Eden R., MGS Collaboration and Mowry, Bryan J. (2017). Genome-wide association study of male sexual orientation. Scientific Reports, 7 (1) 16950. doi: 10.1038/s41598-017-15736-4 |
2017 Journal Article Whole-exome sequencing in amyotrophic lateral sclerosis suggests NEK1 is a risk gene in ChineseGratten, Jacob, Zhao, Qiongyi, Benyamin, Beben, Garton, Fleur, He, Ji, Leo, Paul J., Mangelsdorf, Marie, Anderson, Lisa, Zhang, Zong-Hong, Chen, Lu, Chen, Xiang-Ding, Cremin, Katie, Deng, Hong-Weng, Edson, Janette, Han, Ying-Ying, Harris, Jessica, Henders, Anjali K., Jin, Zi-Bing, Li, Zhongshan, Lin, Yong, Liu, Xiaolu, Marshall, Mhairi, Mowry, Bryan J., Ran, Shu, Reutens, David C., Song, Sharon, Tan, Li-Jun, Tang, Lu, Wallace, Robyn H. ... Fan, Dongsheng (2017). Whole-exome sequencing in amyotrophic lateral sclerosis suggests NEK1 is a risk gene in Chinese. Genome Medicine, 9 (97) 97, 97. doi: 10.1186/s13073-017-0487-0 |
2017 Journal Article Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working GroupKelly, S., Jahanshad, N., Zalesky, A., Kochunov, P., Agartz, I., Alloza, C., Andreassen, O. A., Arango, C., Banaj, N., Bouix, S., Bousman, C. A., Brouwer, R. M., Bruggemann, J., Bustillo, J, Cahn, W., Calhoun, V., Cannon, D., Carr, V., Catts, S., Chen, J., Chen, J.-X., Chen, X., Chiapponi, C., Cho, K. l. K., Ciullo, V., Corvin, A. S., Crespo-Facorro, B., Cropley, V., De Rossi, P. ... Donohoe, G. (2017). Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group. Molecular Psychiatry, 23 (5), 1261-1269. doi: 10.1038/mp.2017.170 |
2017 Journal Article Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosisBenyamin, Beben, He, Ji, Zhao, Qiongyi, Gratten, Jacob, Garton, Fleur, Leo, Paul J., Liu, Zhijun, Mangelsdorf, Marie, Al-Chalabi, Ammar, Anderson, Lisa, Butler, Timothy J., Chen, Lu, Chen, Xiang-Ding, Cremin, Katie, Deng, Hong-Weng, Devine, Matthew, Edson, Janette, Fifita, Jennifer A., Furlong, Sarah, Han, Ying-Ying, Harris, Jessica, Henders, Anjali K., Jeffree, Rosalind L., Jin, Zi-Bing, Li, Zhongshan, Li, Ting, Li, Mengmeng, Lin, Yong, Liu, Xiaolu ... Fan, Dongsheng (2017). Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosis. Nature Communications, 8 (1) 611, 611. doi: 10.1038/s41467-017-00471-1 |
2017 Other Outputs Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypesRuderfer, Douglas M, Ripke, Stephan, McQuillin, Andrew, Boocock, James, Stahl, Eli A, Pavlides, Jennifer M Whitehead, Mullins, Niamh, Charney, Alexander W, Ori, Anil P S, Loohuis, Loes M Olde, Domenici, Enrico, Di Florio, Arianna, Papiol, Sergi, Kalman, Janos L., Adolfsson, Rolf, Agartz, Ingrid, Agerbo, Esben, Akil, Huda, Albani, Diego, Albus, Margot, Alda, Martin, Alexander, Madeline, Allardyce, Judith, Alliey-Rodriguez, Ney, Als, Thomas D, Amin, Farooq, Anjorin, Adebayo, Arranz, Maria J, Awasthi, Swapnil ... Kendler, Kenneth S (2017). Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes. doi: 10.1101/173435 |