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Browsing by Author "Chang, Xiao"
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Item Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors(Elsevier, 2022-02-01) Mullins, Niamh; Kang, JooEun; Campos, Adrian I.; Coleman, Jonathan R. I.; Edwards, Alexis C.; Galfalvy, Hanga; Levey, Daniel F.; Lori, Adriana; Shabalin, Andrey; Starnawska, Anna; Su, Mei-Hsin; Watson, Hunna J.; Adams, Mark; Awasthi, Swapnil; Gandal, Michael; Hafferty, Jonathan D.; Hishimoto, Akitoyo; Kim, Minsoo; Okazaki, Satoshi; Otsuka, Ikuo; Ripke, Stephan; Ware, Erin B.; Bergen, Andrew W.; Berrettini, Wade H.; Bohus, Martin; Brandt, Harry; Chang, Xiao; Chen, Wei J.; Chen, Hsi-Chung; Crawford, Steven; Crow, Scott; DiBlasi, Emily; Duriez, Philibert; Fernández-Aranda, Fernando; Fichter, Manfred M.; Gallinger, Steven; Glatt, Stephen J.; Gorwood, Philip; Guo, Yiran; Hakonarson, Hakon; Halmi, Katherine A.; Hwu, Hai-Gwo; Jain, Sonia; Jamain, Stéphane; Jiménez-Murcia, Susana; Johnson, Craig; Kaplan, Allan S.; Kaye, Walter H.; Keel, Pamela K.; Kennedy, James L.; Klump, Kelly L.; Li, Dong; Liao, Shih-Cheng; Lieb, Klaus; Lilenfeld, Lisa; Liu, Chih-Min; Magistretti, Pierre J.; Marshall, Christian R.; Mitchell, James E.; Monson, Eric T.; Myers, Richard M.; Pinto, Dalila; Powers, Abigail; Ramoz, Nicolas; Roepke, Stefan; Rozanov, Vsevolod; Scherer, Stephen W.; Schmahl, Christian; Sokolowski, Marcus; Strober, Michael; Thornton, Laura M.; Treasure, Janet; Tsuang, Ming T.; Witt, Stephanie H.; Woodside, D. Blake; Yilmaz, Zeynep; Zillich, Lea; Adolfsson, Rolf; Agartz, Ingrid; Air, Tracy M.; Alda, Martin; Alfredsson, Lars; Andreassen, Ole A.; Anjorin, Adebayo; Appadurai, Vivek; Artigas, María Soler; Van der Auwera, Sandra; Azevedo, M. Helena; Bass, Nicholas; Bau, Claiton H. D.; Baune, Bernhard T.; Bellivier, Frank; Berger, Klaus; Biernacka, Joanna M.; Bigdeli, Tim B.; Binder, Elisabeth B.; Boehnke, Michael; Boks, Marco P.; Bosch, Rosa; Braff, David L.; Bryant, Richard; Budde, Monika; Byrne, Enda M.; Cahn, Wiepke; Casas, Miguel; Castelao, Enrique; Cervilla, Jorge A.; Chaumette, Boris; Cichon, Sven; Corvin, Aiden; Craddock, Nicholas; Craig, David; Degenhardt, Franziska; Djurovic, Srdjan; Edenberg, Howard J.; Fanous, Ayman H.; Foo, Jerome C.; Forstner, Andreas J.; Frye, Mark; Fullerton, Janice M.; Gatt, Justine M.; Gejman, Pablo V.; Giegling, Ina; Grabe, Hans J.; Green, Melissa J.; Grevet, Eugenio H.; Grigoroiu-Serbanescu, Maria; Gutierrez, Blanca; Guzman-Parra, Jose; Hamilton, Steven P.; Hamshere, Marian L.; Hartmann, Annette; Hauser, Joanna; Heilmann-Heimbach, Stefanie; Hoffmann, Per; Ising, Marcus; Jones, Ian; Jones, Lisa A.; Jonsson, Lina; Kahn, René S.; Kelsoe, John R.; Kendler, Kenneth S.; Kloiber, Stefan; Koenen, Karestan C.; Kogevinas, Manolis; Konte, Bettina; Krebs, Marie-Odile; Landén, Mikael; Lawrence, Jacob; Leboyer, Marion; Lee, Phil H.; Levinson, Douglas F.; Liao, Calwing; Lissowska, Jolanta; Lucae, Susanne; Mayoral, Fermin; McElroy, Susan L.; McGrath, Patrick; McGuffin, Peter; McQuillin, Andrew; Medland, Sarah E.; Mehta, Divya; Melle, Ingrid; Milaneschi, Yuri; Mitchell, Philip B.; Molina, Esther; Morken, Gunnar; Mortensen, Preben Bo; Müller-Myhsok, Bertram; Nievergelt, Caroline; Nimgaonkar, Vishwajit; Nöthen, Markus M.; O’Donovan, Michael C.; Ophoff, Roel A.; Owen, Michael J.; Pato, Carlos; Pato, Michele T.; Penninx, Brenda W. J. H.; Pimm, Jonathan; Pistis, Giorgio; Potash, James B.; Power, Robert A.; Preisig, Martin; Quested, Digby; Ramos-Quiroga, Josep Antoni; Reif, Andreas; Ribasés , Marta; Richarte, Vanesa; Rietschel, Marcella; Rivera, Margarita; Roberts, Andrea; Roberts, Gloria; Rouleau, Guy A.; Rovaris, Diego L.; Rujescu, Dan; Sánchez-Mora, Cristina; Sanders, Alan R.; Schofield, Peter R.; Schulze, Thomas G.; Scott, Laura J.; Serretti, Alessandro; Shi, Jianxin; Shyn, Stanley I.; Sirignano, Lea; Sklar, Pamela; Smeland, Olav B.; Smoller, Jordan W.; Sonuga-Barke, Edmund J. S.; Spalletta, Gianfranco; Strauss, John S.; Świątkowska, Beata; Trzaskowski, Maciej; Turecki, Gustavo; Vilar-Ribó, Laura; Vincent, John B.; Völzke, Henry; Walters, James T. R.; Weickert, Cynthia Shannon; Weickert, Thomas W.; Weissman, Myrna M.; Williams, Leanne M.; Wray, Naomi R.; Zai, Clement C.; Ashley-Koch, Allison E.; Beckham, Jean C.; Hauser, Elizabeth R.; Hauser, Michael A.; Kimbrel, Nathan A.; Lindquist, Jennifer H.; McMahon, Benjamin; Oslin, David W.; Qin, Xuejun; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium; Eating Disorders Working Group of the Psychiatric Genomics Consortium; German Borderline Genomics Consortium; MVP Suicide Exemplar Workgroup; VA Million Veteran Program; Medical and Molecular Genetics, School of MedicineBACKGROUND: Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. METHODS: We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. RESULTS: Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. CONCLUSIONS: Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.Item GWAS Meta-Analysis of Suicide Attempt: Identification of 12 Genome-Wide Significant Loci and Implication of Genetic Risks for Specific Health Factors(American Psychiatric Association, 2023) Docherty, Anna R.; Mullins, Niamh; Ashley-Koch, Allison E.; Qin, Xuejun; Coleman, Jonathan R. I.; Shabalin, Andrey; Kang, JooEun; Murnyak, Balasz; Wendt, Frank; Adams, Mark; Campos, Adrian I.; DiBlasi, Emily; Fullerton, Janice M.; Kranzler, Henry R.; Bakian, Amanda V.; Monson, Eric T.; Rentería, Miguel E.; Walss-Bass, Consuelo; Andreassen, Ole A.; Behera, Chittaranjan; Bulik, Cynthia M.; Edenberg, Howard J.; Kessler, Ronald C.; Mann, J. John; Nurnberger, John I., Jr.; Pistis, Giorgio; Streit, Fabian; Ursano, Robert J.; Polimanti, Renato; Dennis, Michelle; Garrett, Melanie; Hair, Lauren; Harvey, Philip; Hauser, Elizabeth R.; Hauser, Michael A.; Huffman, Jennifer; Jacobson, Daniel; Madduri, Ravi; McMahon, Benjamin; Oslin, David W.; Trafton, Jodie; Awasthi, Swapnil; Berrettini, Wade H.; Bohus, Martin; Chang, Xiao; Chen, Hsi-Chung; Chen, Wei J.; Christensen, Erik D.; Crow, Scott; Duriez, Philibert; Edwards, Alexis C.; Fernández-Aranda, Fernando; Galfalvy, Hanga; Gandal, Michael; Gorwood, Philip; Guo, Yiran; Hafferty, Jonathan D.; Hakonarson, Hakon; Halmi, Katherine A.; Hishimoto, Akitoyo; Jain, Sonia; Jamain, Stéphane; Jiménez-Murcia, Susana; Johnson, Craig; Kaplan, Allan S.; Kaye, Walter H.; Keel, Pamela K.; Kennedy, James L.; Kim, Minsoo; Klump, Kelly L.; Levey, Daniel F.; Li, Dong; Liao, Shih-Cheng; Lieb, Klaus; Lilenfeld, Lisa; Marshall, Christian R.; Mitchell, James E.; Okazaki, Satoshi; Otsuka, Ikuo; Pinto, Dalila; Powers, Abigail; Ramoz, Nicolas; Ripke, Stephan; Roepke, Stefan; Rozanov, Vsevolod; Scherer, Stephen W.; Schmahl, Christian; Sokolowski, Marcus; Starnawska, Anna; Strober, Michael; Su, Mei-Hsin; Thornton, Laura M.; Treasure, Janet; Ware, Erin B.; Watson, Hunna J.; Witt, Stephanie H.; Woodside, D. Blake; Yilmaz, Zeynep; Zillich, Lea; Adolfsson, Rolf; Agartz, Ingrid; Alda, Martin; Alfredsson, Lars; Appadurai, Vivek; Artigas, María Soler; Van der Auwera, Sandra; Azevedo, M. Helena; Bass, Nicholas; Bau, Claiton H. D.; Baune, Bernhard T.; Bellivier, Frank; Berger, Klaus; Biernacka, Joanna M.; Bigdeli, Tim B.; Binder, Elisabeth B.; Boehnke, Michael; Boks, Marco P.; Braff, David L.; Bryant, Richard; Budde, Monika; Byrne, Enda M.; Cahn, Wiepke; Castelao, Enrique; Cervilla, Jorge A.; Chaumette, Boris; Corvin, Aiden; Craddock, Nicholas; Djurovic, Srdjan; Foo, Jerome C.; Forstner, Andreas J.; Frye, Mark; Gatt, Justine M.; Giegling, Ina; Grabe, Hans J.; Green, Melissa J.; Grevet, Eugenio H.; Grigoroiu-Serbanescu, Maria; Gutierrez, Blanca; Guzman-Parra, Jose; Hamshere, Marian L.; Hartmann, Annette M.; Hauser, Joanna; Heilmann-Heimbach, Stefanie; Hoffmann, Per; Ising, Marcus; Jones, Ian; Jones, Lisa A.; Jonsson, Lina; Kahn, René S.; Kelsoe, John R.; Kendler, Kenneth S.; Kloiber, Stefan; Koenen, Karestan C.; Kogevinas, Manolis; Krebs, Marie-Odile; Landén, Mikael; Leboyer, Marion; Lee, Phil H.; Levinson, Douglas F.; Liao, Calwing; Lissowska, Jolanta; Mayoral, Fermin; McElroy, Susan L.; McGrath, Patrick; McGuffin, Peter; McQuillin, Andrew; Mehta, Divya; Melle, Ingrid; Mitchell, Philip B.; Molina, Esther; Morken, Gunnar; Nievergelt, Caroline; Nöthen, Markus M.; O'Donovan, Michael C.; Ophoff, Roel A.; Owen, Michael J.; Pato, Carlos; Pato, Michele T.; Penninx, Brenda W. J. H.; Potash, James B.; Power, Robert A.; Preisig, Martin; Quested, Digby; Ramos-Quiroga, Josep Antoni; Reif, Andreas; Ribasés, Marta; Richarte, Vanesa; Rietschel, Marcella; Rivera, Margarita; Roberts, Andrea; Roberts, Gloria; Rouleau, Guy A.; Rovaris, Diego L.; Sanders, Alan R.; Schofield, Peter R.; Schulze, Thomas G.; Scott, Laura J.; Serretti, Alessandro; Shi, Jianxin; Sirignano, Lea; Sklar, Pamela; Smeland, Olav B.; Smoller, Jordan W.; Sonuga-Barke, Edmund J. S.; Trzaskowski, Maciej; Tsuang, Ming T.; Turecki, Gustavo; Vilar-Ribó, Laura; Vincent, John B.; Völzke, Henry; Walters, James T. R.; Weickert, Cynthia Shannon; Weickert, Thomas W.; Weissman, Myrna M.; Williams, Leanne M.; Wray, Naomi R.; Zai, Clement C.; Agerbo, Esben; Børglum, Anders D.; Breen, Gerome; Demontis, Ditte; Erlangsen, Annette; Gelernter, Joel; Glatt, Stephen J.; Hougaard, David M.; Hwu, Hai-Gwo; Kuo, Po-Hsiu; Lewis, Cathryn M.; Li, Qingqin S.; Liu, Chih-Min; Martin, Nicholas G.; McIntosh, Andrew M.; Medland, Sarah E.; Mors, Ole; Nordentoft, Merete; Olsen, Catherine M.; Porteous, David; Smith, Daniel J.; Stahl, Eli A.; Stein, Murray B.; Wasserman, Danuta; Werge, Thomas; Whiteman, David C.; Willour, Virginia; VA Million Veteran Program (MVP); MVP Suicide Exemplar Workgroup; Suicide Working Group of the Psychiatric Genomics Consortium; Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium; Bipolar Disorder Working Group of the Psychiatric Genomics Consortium; Schizophrenia Working Group of the Psychiatric Genomics Consortium; Eating Disorder Working Group of the Psychiatric Genomics Consortium; German Borderline Genomics Consortium; Coon, Hilary; Beckham, Jean C.; Kimbrel, Nathan A.; Ruderfer, Douglas M.; Psychiatry, School of MedicineObjective: Suicidal behavior is heritable and is a major cause of death worldwide. Two large-scale genome-wide association studies (GWASs) recently discovered and cross-validated genome-wide significant (GWS) loci for suicide attempt (SA). The present study leveraged the genetic cohorts from both studies to conduct the largest GWAS meta-analysis of SA to date. Multi-ancestry and admixture-specific meta-analyses were conducted within groups of significant African, East Asian, and European ancestry admixtures. Methods: This study comprised 22 cohorts, including 43,871 SA cases and 915,025 ancestry-matched controls. Analytical methods across multi-ancestry and individual ancestry admixtures included inverse variance-weighted fixed-effects meta-analyses, followed by gene, gene-set, tissue-set, and drug-target enrichment, as well as summary-data-based Mendelian randomization with brain expression quantitative trait loci data, phenome-wide genetic correlation, and genetic causal proportion analyses. Results: Multi-ancestry and European ancestry admixture GWAS meta-analyses identified 12 risk loci at p values <5×10-8. These loci were mostly intergenic and implicated DRD2, SLC6A9, FURIN, NLGN1, SOX5, PDE4B, and CACNG2. The multi-ancestry SNP-based heritability estimate of SA was 5.7% on the liability scale (SE=0.003, p=5.7×10-80). Significant brain tissue gene expression and drug set enrichment were observed. There was shared genetic variation of SA with attention deficit hyperactivity disorder, smoking, and risk tolerance after conditioning SA on both major depressive disorder and posttraumatic stress disorder. Genetic causal proportion analyses implicated shared genetic risk for specific health factors. Conclusions: This multi-ancestry analysis of suicide attempt identified several loci contributing to risk and establishes significant shared genetic covariation with clinical phenotypes. These findings provide insight into genetic factors associated with suicide attempt across ancestry admixture populations, in veteran and civilian populations, and in attempt versus death.Item The VITAL project: Visual Information Translation Analysis & Learning in Life Sciences(Office of the Vice Chancellor for Research, 2011-04-08) Tsechpenakis, Gavriil; Chang, XiaoIn many disciplines of science, especially in life sciences, research proceeds in a top-down approach, in which domain experts formulate hypotheses that are tested on relevant data. In contrast, research in Computer Science and Engineering often follows a data-driven bottom-up approach. In the bottom-up approach, various algorithms and computational tools are designed and utilized to perform unstructured knowledge discovery such as finding patterns and structure in data. In this presentation we give an overview of our research activities, namely how we combine novel bottom-up Computer Vision and Machine Learning methods with top-down domain knowledge in Physiology, Neuroscience and clinical Medicine to engender knowledge discovery. Specifically, we present our efforts towards answering the following questions: does brain control breathing? do genes control locomotion and touch sensation? can we reconstruct a model brain at single-cell resolution? how can we model protein-protein interactions in neurons, in situ? can we predict the biological effect of growth factor-delivering scaffolds for promoting angiogenesis? can we combine Magnetic Resonance imagery and biochemical spectroscopy for brain tumor radiation treatment planning? The VITAL project (PI: Tsechpenakis - web.mac.com/gavriil ) is a new research group, part of the Center for Visual Information Sensing and Computing (visc.cs.iupui.edu) at the Computer Science Department of IUPUI. The core theoretical background of our modeling and analysis methods is in Computer Vision, applied Machine Learning, Imaging and Signal Processing. Currently our research is funded by two NIH grants and the IUPUI School of Science; the PI’s research has been previously funded by NIH, NSF, NOAA, and the Wallace H. Coulter Foundation.