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2019

Journal Article

Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations

Peterson, Roseann E., Kuchenbaecker, Karoline, Walters, Raymond K., Chen, Chia-Yen, Popejoy, Alice B., Periyasamy, Sathish, Lam, Max, Iyegbe, Conrad, Strawbridge, Rona J., Brick, Leslie, Carey, Caitlin E., Martin, Alicia R., Meyers, Jacquelyn L., Su, Jinni, Chen, Junfang, Edwards, Alexis C., Kalungi, Allan, Koen, Nastassja, Majara, Lerato, Schwarz, Emanuel, Smoller, Jordan W., Stahl, Eli A., Sullivan, Patrick F., Vassos, Evangelos, Mowry, Bryan, Prieto, Miguel L., Cuellar-Barboza, Alfredo, Bigdeli, Tim B., Edenberg, Howard J. ... Duncan, Laramie E. (2019). Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations. Cell, 179 (3), 589-603. doi: 10.1016/j.cell.2019.08.051

Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations

2019

Journal Article

Association of schizophrenia risk with disordered niacin metabolism in an Indian genome-wide association study

Periyasamy, Sathish, John, Sujit, Padmavati, Raman, Rajendren, Preeti, Thirunavukkarasu, Priyadarshini, Gratten, Jacob, Vinkhuyzen, Anna, McRae, Allan, Holliday, Elizabeth G., Nyholt, Dale R., Nancarrow, Derek, Bakshi, Andrew, Hemani, Gibran, Nertney, Deborah, Smith, Heather, Filippich, Cheryl, Patel, Kalpana, Fowdar, Javed, McLean, Duncan, Tirupati, Srinivasan, Nagasundaram, Arunkumar, Gundugurti, Prasad Rao, Selvaraj, Krishnamurthy, Jegadeesan, Jayaprakash, Jorde, Lynn B., Wray, Naomi R., Brown, Matthew A., Suetani, Rachel, Giacomotto, Jean ... Mowry, Bryan J. (2019). Association of schizophrenia risk with disordered niacin metabolism in an Indian genome-wide association study. JAMA Psychiatry, 76 (10), 1026-1034. doi: 10.1001/jamapsychiatry.2019.1335

Association of schizophrenia risk with disordered niacin metabolism in an Indian genome-wide association study

2024

Journal Article

Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes

Periyasamy, Sathish, Youssef, Pierre, John, Sujit, Thara, Rangaswamy and Mowry, Bryan J. (2024). Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes. Frontiers in Genetics, 14 1301150. doi: 10.3389/fgene.2023.1301150

Genetic interactions of schizophrenia using gene-based statistical epistasis exclusively identify nervous system-related pathways and key hub genes

2023

Journal Article

Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations

Liu, Dongjing, Meyer, Dara, Fennessy, Brian, Feng, Claudia, Cheng, Esther, Johnson, Jessica S., Park, You Jeong, Rieder, Marysia-Kolbe, Ascolillo, Steven, de Pins, Agathe, Dobbyn, Amanda, Lebovitch, Dannielle, Moya, Emily, Nguyen, Tan-Hoang, Wilkins, Lillian, Hassan, Arsalan, Burdick, Katherine E., Buxbaum, Joseph D., Domenici, Enrico, Frangou, Sophia, Hartmann, Annette M., Laurent-Levinson, Claudine, Malhotra, Dheeraj, Pato, Carlos N., Pato, Michele T., Ressler, Kerry, Roussos, Panos, Rujescu, Dan, Arango, Celso ... Catts, Stan (2023). Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations. Nature Genetics, 55 (3), 369-376. doi: 10.1038/s41588-023-01305-1

Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations

2022

Journal Article

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Trubetskoy, Vassily, Pardiñas, Antonio F, Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B, Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A, Hall, Lynsey S, Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C, Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L, Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G ... Schizophrenia Working Group of the Psychiatric Genomics Consortium (2022). Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 604 (7906), 502-508. doi: 10.1038/s41586-022-04434-5

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

2022

Journal Article

BrainDevo: spatio-temporal gene regulation repository of brain development

Periyasamy, Sathish and Mowry, Bryan (2022). BrainDevo: spatio-temporal gene regulation repository of brain development. Frontiers in Molecular Neuroscience, 15 799801, 799801. doi: 10.3389/fnmol.2022.799801

BrainDevo: spatio-temporal gene regulation repository of brain development

2022

Journal Article

Interaction testing and polygenic risk scoring to estimate the association of common genetic variants with treatment resistance in schizophrenia

Pardiñas, Antonio F., Smart, Sophie E., Willcocks, Isabella R., Holmans, Peter A., Dennison, Charlotte A., Lynham, Amy J., Legge, Sophie E., Baune, Bernhard T., Bigdeli, Tim B., Cairns, Murray J., Corvin, Aiden, Fanous, Ayman H., Frank, Josef, Kelly, Brian, McQuillin, Andrew, Melle, Ingrid, Mortensen, Preben B., Mowry, Bryan J., Pato, Carlos N., Periyasamy, Sathish, Rietschel, Marcella, Rujescu, Dan, Simonsen, Carmen, St Clair, David, Tooney, Paul, Wu, Jing Qin, Andreassen, Ole A., Kowalec, Kaarina, Sullivan, Patrick F. ... Vázquez-Bourgon, Javier (2022). Interaction testing and polygenic risk scoring to estimate the association of common genetic variants with treatment resistance in schizophrenia. JAMA Psychiatry, 79 (3) 20213799, 260-269. doi: 10.1001/jamapsychiatry.2021.3799

Interaction testing and polygenic risk scoring to estimate the association of common genetic variants with treatment resistance in schizophrenia

2021

Journal Article

Genetic architecture of schizophrenia: a review of major advancements

Legge, Sophie E., Santoro, Marcos L., Periyasamy, Sathish, Okewole, Adeniran, Arsalan, Arsalan and Kowalec, Kaarina (2021). Genetic architecture of schizophrenia: a review of major advancements. Psychological Medicine, 51 (13) PII S0033291720005334, 1-10. doi: 10.1017/s0033291720005334

Genetic architecture of schizophrenia: a review of major advancements

2021

Journal Article

Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

Blokland, Gabriëlla A.M., Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T.R., 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. ... iPSYCH (2021). Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders. Biological Psychiatry, 91 (1), 102-117. doi: 10.1016/j.biopsych.2021.02.972

Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

2019

Journal Article

Comparative genetic architectures of schizophrenia in East Asian and European populations

Lam, Max, Chen, Chia-Yen, Li, Zhiqiang, Martin, Alicia R., Bryois, Julien, Ma, Xixian, Gaspar, Helena, Ikeda, Masashi, Benyamin, Beben, Brown, Brielin C., Liu, Ruize, Zhou, Wei, Guan, Lili, Kamatani, Yoichiro, Kim, Sung-Wan, Kubo, Michiaki, Kusumawardhani, Agung A. A. A., Liu, Chih-Min, Ma, Hong, Periyasamy, Sathish, Takahashi, Atsushi, Xu, Zhida, Yu, Hao, Zhu, Feng, Chen, Wei J., Faraone, Stephen, Glatt, Stephen J., He, Lin, Hyman, Steven E. ... Huang, Hailiang (2019). Comparative genetic architectures of schizophrenia in East Asian and European populations. Nature Genetics, 51 (12), 1670-1678. doi: 10.1038/s41588-019-0512-x

Comparative genetic architectures of schizophrenia in East Asian and European populations

2018

Journal Article

Association between schizophrenia polygenic risk and neural correlates of emotion perception

Dzafic, 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

Association between schizophrenia polygenic risk and neural correlates of emotion perception

2015

Journal Article

Correction: Integrated exon level expression analysis of driver genes explain their role in colorectal cancer

Aziz, M. A., Periyasamy, S., Al Yousef, Z., AlAbdulkarim, I., Al Otaibi, M., AlFahed, AbdulAziz and Alasiri, Glowi (2015). Correction: Integrated exon level expression analysis of driver genes explain their role in colorectal cancer. PLoS ONE, 10 (3) e0122532, e0122532. doi: 10.1371/journal.pone.0122532

Correction: Integrated exon level expression analysis of driver genes explain their role in colorectal cancer

2014

Journal Article

Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray

Aziz, Mohammad Azhar, Periyasamy, Sathish, Yousef, Zeyad, Deeb, Ahmad and Alotaibi, Majed (2014). Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray. Genomics Data, 2, 29-31. doi: 10.1016/j.gdata.2014.02.004

Colorectal cancer driver genes identified by patient specific comparison of cytogenetic microarray

2014

Journal Article

Integrated exon level expression analysis of driver genes explain their role in colorectal cancer

Aziz, Mohammad Azhar, Periyasamy, Sathish, Al Yousef, Zeyad, Al Abdulkarim, Ibrahim, Al Otaibi, Majed, Alfahed, Abdulaziz and Alasiri, Glowi (2014). Integrated exon level expression analysis of driver genes explain their role in colorectal cancer. PLoS ONE, 9 (10) e110134, e110134. doi: 10.1371/journal.pone.0110134

Integrated exon level expression analysis of driver genes explain their role in colorectal cancer

2013

Journal Article

Correction: Novel genes associated with colorectal cancer are revealed by high resolution cytogenetic analysis in a patient specific manner

Eldai, Hisham, Periyasamy, Sathish, Al Qarni, Saeed, Al Rodayyan, Maha, Muhammed Mustafa, Sabeena, Deeb, Ahmad, Al Sheikh, Ebthehal, Afzal Khan, Mohammed, Johani, Mishal, Yousef, Zeyad and Aziz, Mohammad Azhar (2013). Correction: Novel genes associated with colorectal cancer are revealed by high resolution cytogenetic analysis in a patient specific manner. PLoS ONE, 8 (12). doi: 10.1371/annotation/3f97e271-6926-4766-8430-1b4a009e80c6

Correction: Novel genes associated with colorectal cancer are revealed by high resolution cytogenetic analysis in a patient specific manner

2013

Journal Article

Novel genes associated with colorectal cancer are revealed by high resolution cytogenetic analysis in a patient specific manner

Eldai, Hisham, Periyasamy, Sathish, Al Qarni, Saeed, Al Rodayyan, Maha, Muhammed Mustafa, Sabeena, Deeb, Ahmad, Al Sheikh, Ebthehal, Afzal Khan, Mohammed, Johani, Mishal, Yousef, Zeyad and Aziz, Mohammad Azhar (2013). Novel genes associated with colorectal cancer are revealed by high resolution cytogenetic analysis in a patient specific manner. PLoS ONE, 8 (10) e76251, e76251. doi: 10.1371/journal.pone.0076251

Novel genes associated with colorectal cancer are revealed by high resolution cytogenetic analysis in a patient specific manner

2013

Journal Article

The bottom–up approach to defining life: deciphering the functional organization of biological cells via multi-objective representation of biological complexity from molecules to cells

Periyasamy, Sathish, Gray, Alex and Kille, Peter (2013). The bottom–up approach to defining life: deciphering the functional organization of biological cells via multi-objective representation of biological complexity from molecules to cells. Frontiers in Physiology, 4 Article 369. doi: 10.3389/fphys.2013.00369

The bottom–up approach to defining life: deciphering the functional organization of biological cells via multi-objective representation of biological complexity from molecules to cells