Search

Your search keyword '"Biernacka, Joanna"' showing total 1,196 results
Start Over Author "Biernacka, Joanna"
1,196 results on '"Biernacka, Joanna"'

1. Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes

Author

Toikumo, Sylvanus, Jennings, Mariela V, Pham, Benjamin K, Lee, Hyunjoon, Mallard, Travis T, Bianchi, Sevim B, Meredith, John J, Vilar-Ribo, Laura, Xu, Heng, Hatoum, Alexander S, Johnson, Emma C, Pazdernik, Vanessa K, Jinwala, Zeal, Pakala, Shreya R, Leger, Brittany S, Niarchou, Maria, Ehinmowo, Michael, Jenkins, Greg D, Batzler, Anthony, Pendegraft, Richard, Palmer, Abraham A, Zhou, Hang, Biernacka, Joanna M, Coombes, Brandon J, Gelernter, Joel, Xu, Ke, Hancock, Dana B, Cox, Nancy J, Smoller, Jordan W, Davis, Lea K, Justice, Amy C, Kranzler, Henry R, Kember, Rachel L, and Sanchez-Roige, Sandra

Subjects
Biomedical and Clinical Sciences, Health Sciences, Substance Misuse, Drug Abuse (NIDA only), Prevention, Tobacco, Brain Disorders, Genetics, Human Genome, Tobacco Smoke and Health, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Tobacco Use Disorder, Genetic Predisposition to Disease, Genome-Wide Association Study, United States, Male, Female, Electronic Health Records, Penn Medicine BioBank, Biomedical and clinical sciences, Health sciences, Psychology
Abstract

Tobacco use disorder (TUD) is the most prevalent substance use disorder in the world. Genetic factors influence smoking behaviours and although strides have been made using genome-wide association studies to identify risk variants, most variants identified have been for nicotine consumption, rather than TUD. Here we leveraged four US biobanks to perform a multi-ancestral meta-analysis of TUD (derived via electronic health records) in 653,790 individuals (495,005 European, 114,420 African American and 44,365 Latin American) and data from UK Biobank (ncombined = 898,680). We identified 88 independent risk loci; integration with functional genomic tools uncovered 461 potential risk genes, primarily expressed in the brain. TUD was genetically correlated with smoking and psychiatric traits from traditionally ascertained cohorts, externalizing behaviours in children and hundreds of medical outcomes, including HIV infection, heart disease and pain. This work furthers our biological understanding of TUD and establishes electronic health records as a source of phenotypic information for studying the genetics of TUD.

Published
2024

2. Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model

Author

Patra, Braja Gopal, Lepow, Lauren A., Kumar, Praneet Kasi Reddy Jagadeesh, Vekaria, Veer, Sharma, Mohit Manoj, Adekkanattu, Prakash, Fennessy, Brian, Hynes, Gavin, Landi, Isotta, Sanchez-Ruiz, Jorge A., Ryu, Euijung, Biernacka, Joanna M., Nadkarni, Girish N., Talati, Ardesheer, Weissman, Myrna, Olfson, Mark, Mann, J. John, Charney, Alexander W., and Pathak, Jyotishman

Subjects
Computer Science - Computation and Language
Abstract

Background: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented as narrative clinical notes rather than structured coded data. Natural language processing (NLP) algorithms can automate the otherwise labor-intensive process of data extraction. Data and Methods: Psychiatric encounter notes from Mount Sinai Health System (MSHS, n=300) and Weill Cornell Medicine (WCM, n=225) were annotated and established a gold standard corpus. A rule-based system (RBS) involving lexicons and a large language model (LLM) using FLAN-T5-XL were developed to identify mentions of SS and SI and their subcategories (e.g., social network, instrumental support, and loneliness). Results: For extracting SS/SI, the RBS obtained higher macro-averaged f-scores than the LLM at both MSHS (0.89 vs. 0.65) and WCM (0.85 vs. 0.82). For extracting subcategories, the RBS also outperformed the LLM at both MSHS (0.90 vs. 0.62) and WCM (0.82 vs. 0.81). Discussion and Conclusion: Unexpectedly, the RBS outperformed the LLMs across all metrics. Intensive review demonstrates that this finding is due to the divergent approach taken by the RBS and LLM. The RBS were designed and refined to follow the same specific rules as the gold standard annotations. Conversely, the LLM were more inclusive with categorization and conformed to common English-language understanding. Both approaches offer advantages and are made available open-source for future testing., Comment: 2 figures, 3 tables

Published
2024
Full Text
View/download PDF

3. Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data

Author

Sanchez-Ruiz, Jorge A., Coombes, Brandon J., Pazdernik, Vanessa M., Melhuish Beaupre, Lindsay M., Jenkins, Greg D., Pendegraft, Richard S., Batzler, Anthony, Ozerdem, Aysegul, McElroy, Susan L., Gardea-Resendez, Manuel A., Cuellar-Barboza, Alfredo B., Prieto, Miguel L., Frye, Mark A., and Biernacka, Joanna M.

Published
2024
Full Text
View/download PDF

4. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder.

Author

Nievergelt, Caroline, Maihofer, Adam, Atkinson, Elizabeth, Chen, Chia-Yen, Choi, Karmel, Coleman, Jonathan, Daskalakis, Nikolaos, Duncan, Laramie, Polimanti, Renato, Aaronson, Cindy, Amstadter, Ananda, Andersen, Soren, Andreassen, Ole, Arbisi, Paul, Ashley-Koch, Allison, Austin, S, Avdibegoviç, Esmina, Babić, Dragan, Bacanu, Silviu-Alin, Baker, Dewleen, Batzler, Anthony, Beckham, Jean, Belangero, Sintia, Benjet, Corina, Bergner, Carisa, Bierer, Linda, Biernacka, Joanna, Bierut, Laura, Bisson, Jonathan, Boks, Marco, Bolger, Elizabeth, Brandolino, Amber, Breen, Gerome, Bressan, Rodrigo, Bryant, Richard, Bustamante, Angela, Bybjerg-Grauholm, Jonas, Bækvad-Hansen, Marie, Børglum, Anders, Børte, Sigrid, Cahn, Leah, Calabrese, Joseph, Caldas-de-Almeida, Jose, Chatzinakos, Chris, Cheema, Sheraz, Clouston, Sean, Colodro-Conde, Lucía, Coombes, Brandon, Cruz-Fuentes, Carlos, Dale, Anders, Dalvie, Shareefa, Davis, Lea, Deckert, Jürgen, Delahanty, Douglas, Dennis, Michelle, Desarnaud, Frank, DiPietro, Christopher, Disner, Seth, Docherty, Anna, Domschke, Katharina, Dyb, Grete, Kulenović, Alma, Edenberg, Howard, Evans, Alexandra, Fabbri, Chiara, Fani, Negar, Farrer, Lindsay, Feder, Adriana, Feeny, Norah, Flory, Janine, Forbes, David, Franz, Carol, Galea, Sandro, Garrett, Melanie, Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles, Goleva, Slavina, Gordon, Scott, Goçi, Aferdita, Grasser, Lana, Guindalini, Camila, Haas, Magali, Hagenaars, Saskia, Hauser, Michael, Heath, Andrew, Hemmings, Sian, Hesselbrock, Victor, Hickie, Ian, Hogan, Kelleigh, Hougaard, David, Huang, Hailiang, Huckins, Laura, Hveem, Kristian, Jakovljević, Miro, Javanbakht, Arash, Jenkins, Gregory, Johnson, Jessica, and Jones, Ian

Subjects
Humans, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Neurobiology, Polymorphism, Single Nucleotide, Stress Disorders, Post-Traumatic, White People, White, Black or African American, American Indian or Alaska Native
Abstract

Post-traumatic stress disorder (PTSD) genetics are characterized by lower discoverability than most other psychiatric disorders. The contribution to biological understanding from previous genetic studies has thus been limited. We performed a multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry (137,136 cases) and 58,051 admixed individuals with African and Native American ancestry (13,624 cases). We identified 95 genome-wide significant loci (80 new). Convergent multi-omic approaches identified 43 potential causal genes, broadly classified as neurotransmitter and ion channel synaptic modulators (for example, GRIA1, GRM8 and CACNA1E), developmental, axon guidance and transcription factors (for example, FOXP2, EFNA5 and DCC), synaptic structure and function genes (for example, PCLO, NCAM1 and PDE4B) and endocrine or immune regulators (for example, ESR1, TRAF3 and TANK). Additional top genes influence stress, immune, fear and threat-related processes, previously hypothesized to underlie PTSD neurobiology. These findings strengthen our understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.

Published
2024

6. Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.

Author

Amare, Azmeraw, Thalamuthu, Anbupalam, Schubert, Klaus, Fullerton, Janice, Ahmed, Muktar, Hartmann, Simon, Papiol, Sergi, Heilbronner, Urs, Degenhardt, Franziska, Tekola-Ayele, Fasil, Hou, Liping, Hsu, Yi-Hsiang, Shekhtman, Tatyana, Adli, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Hasler, Roland, Richard-Lepouriel, Hélène, Perroud, Nader, Backlund, Lena, Bhattacharjee, Abesh, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna, Birner, Armin, Marie-Claire, Cynthia, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Cruceanu, Cristiana, Czerski, Piotr, Dalkner, Nina, Del Zompo, Maria, DePaulo, J, Étain, Bruno, Jamain, Stephane, Falkai, Peter, Forstner, Andreas, Frisen, Louise, Frye, Mark, Gard, Sébastien, Garnham, Julie, Goes, Fernando, Grigoroiu-Serbanescu, Maria, Fallgatter, Andreas, Stegmaier, Sophia, Ethofer, Thomas, Biere, Silvia, Petrova, Kristiyana, Schuster, Ceylan, Adorjan, Kristina, Budde, Monika, Heilbronner, Maria, Kalman, Janos, Kohshour, Mojtaba, Reich-Erkelenz, Daniela, Schaupp, Sabrina, Schulte, Eva, Senner, Fanny, Vogl, Thomas, Anghelescu, Ion-George, Arolt, Volker, Dannlowski, Udo, Dietrich, Detlef, Figge, Christian, Jäger, Markus, Lang, Fabian, Juckel, Georg, Konrad, Carsten, Reimer, Jens, Schmauß, Max, Schmitt, Andrea, Spitzer, Carsten, von Hagen, Martin, Wiltfang, Jens, Zimmermann, Jörg, Andlauer, Till, Fischer, Andre, Bermpohl, Felix, Ritter, Philipp, Matura, Silke, Gryaznova, Anna, Falkenberg, Irina, Yildiz, Cüneyt, Kircher, Tilo, Schmidt, Julia, Koch, Marius, Gade, Kathrin, Trost, Sarah, Haussleiter, Ida, Lambert, Martin, Rohenkohl, Anja, Kraft, Vivien, Grof, Paul, and Hashimoto, Ryota

Subjects
Bipolar Disorder, Humans, Female, Male, Multifactorial Inheritance, Adult, Middle Aged, Lithium, Treatment Outcome, Bayes Theorem, Genome-Wide Association Study, Glutamic Acid, Cohort Studies, Lithium Compounds, Acetylcholine, Polymorphism, Single Nucleotide, Antimanic Agents
Abstract

Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental health disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithiums possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N = 2367) and replicated in the combined PsyCourse (N = 89) and BipoLife (N = 102) studies. The associations of Li+PGS and lithium treatment response - defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P

Published
2023

7. Metabolic activity of CYP2C19 and CYP2D6 on antidepressant response from 13 clinical studies using genotype imputation: a meta-analysis

Author

Li, Danyang, Pain, Oliver, Fabbri, Chiara, Wong, Win Lee Edwin, Lo, Chris Wai Hang, Ripke, Stephan, Cattaneo, Annamaria, Souery, Daniel, Dernovsek, Mojca Z., Henigsberg, Neven, Hauser, Joanna, Lewis, Glyn, Mors, Ole, Perroud, Nader, Rietschel, Marcella, Uher, Rudolf, Maier, Wolfgang, Baune, Bernhard T., Biernacka, Joanna M., Bondolfi, Guido, Domschke, Katharina, Kato, Masaki, Liu, Yu-Li, Serretti, Alessandro, Tsai, Shih-Jen, Weinshilboum, Richard, McIntosh, Andrew M., and Lewis, Cathryn M.

Published
2024
Full Text
View/download PDF

8. Correction: Metabolic activity of CYP2C19 and CYP2D6 on antidepressant response from 13 clinical studies using genotype imputation: a meta-analysis

Author

Li, Danyang, Pain, Oliver, Fabbri, Chiara, Wong, Win Lee Edwin, Lo, Chris Wai Hang, Ripke, Stephan, Cattaneo, Annamaria, Souery, Daniel, Dernovsek, Mojca Z., Henigsberg, Neven, Hauser, Joanna, Lewis, Glyn, Mors, Ole, Perroud, Nader, Rietschel, Marcella, Uher, Rudolf, Maier, Wolfgang, Baune, Bernhard T., Biernacka, Joanna M., Bondolfi, Guido, Domschke, Katharina, Kato, Masaki, Liu, Yu-Li, Serretti, Alessandro, Tsai, Shih-Jen, Weinshilboum, Richard, McIntosh, Andrew M., and Lewis, Cathryn M.

Published
2024
Full Text
View/download PDF

9. Exploring the genetics of lithium response in bipolar disorders

Author

Herrera-Rivero, Marisol, Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Amare, Azmeraw T., Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh Kumar, Biernacka, Joanna M., Birner, Armin, Cearns, Micah, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Colom, Francesc, Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J. Raymond, Etain, Bruno, Falkai, Peter, Ferensztajn-Rochowiak, Ewa, Forstner, Andreas J., Frank, Josef, Frisén, Louise, Frye, Mark A., Fullerton, Janice M., Gallo, Carla, Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hasler, Roland, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hou, Liping, Hsu, Yi-Hsiang, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Kuo, Po-Hsiu, Kusumi, Ichiro, König, Barbara, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Maj, Mario, Manchia, Mirko, Marie-Claire, Cynthia, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan L., Millischer, Vincent, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Novák, Tomas, Nöthen, Markus M., O’Donovan, Claire, Ozaki, Norio, Papiol, Sergi, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Reif, Andreas, Reininghaus, Eva, Richard-Lepouriel, Hélène, Roberts, Gloria, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schubert, Klaus Oliver, Schulte, Eva C., Schweizer, Barbara W., Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Streit, Fabian, Tekola-Ayele, Fasil, Thalamuthu, Anbupalam, Tortorella, Alfonso, Turecki, Gustavo, Veeh, Julia, Vieta, Eduard, Viswanath, Biju, Witt, Stephanie H., Zandi, Peter P., Alda, Martin, Bauer, Michael, McMahon, Francis J., Mitchell, Philip B., Rietschel, Marcella, Schulze, Thomas G., and Baune, Bernhard T.

Published
2024
Full Text
View/download PDF

11. Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study

Author

Ou, Anna H., Rosenthal, Sara B., Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Alda, Martin, Amare, Azmeraw T., Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bauer, Michael, Baune, Bernhard T., Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh Kumar, Biernacka, Joanna M., Cervantes, Pablo, Chen, Guo-Bo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Colom, Francesc, Cousins, David A., Cruceanu, Cristiana, Czerski, Piotr M., Dantas, Clarissa R., Dayer, Alexandre, Del Zompo, Maria, Degenhardt, Franziska, DePaulo, J. Raymond, Étain, Bruno, Falkai, Peter, Fellendorf, Frederike Tabea, Ferensztajn-Rochowiak, Ewa, Forstner, Andreas J., Frisén, Louise, Frye, Mark A., Fullerton, Janice M., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Gruber, Oliver, Hashimoto, Ryota, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hofmann, Andrea, Hou, Liping, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kato, Tadafumi, Kittel-Schneider, Sarah, König, Barbara, Kuo, Po-Hsiu, Kusumi, Ichiro, Lackner, Nina, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Jaramillo, Carlos A. López, MacQueen, Glenda, Maj, Mario, Manchia, Mirko, Marie-Claire, Cynthia, Martinsson, Lina, Mattheisen, Manuel, McCarthy, Michael J., McElroy, Susan L., McMahon, Francis J., Mitchell, Philip B., Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, Ösby, Urban, Ozaki, Norio, Papiol, Sergi, Perlis, Roy H., Pisanu, Claudia, Potash, James B., Pfennig, Andrea, Reich-Erkelenz, Daniela, Reif, Andreas, Reininghaus, Eva Z., Rietschel, Marcella, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schubert, K. Oliver, Schulze, Thomas G., Schweizer, Barbara W., Seemüller, Florian, Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Kazutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Tighe, Sarah K., Tortorella, Alfonso, Turecki, Gustavo, Vieta, Eduard, Volkert, Julia, Witt, Stephanie, Wray, Naomi R., Wright, Adam, Young, L. Trevor, Zandi, Peter P., and Kelsoe, John R.

Published
2024
Full Text
View/download PDF

12. Pharmacogenomic overlap between antidepressant treatment response in major depression & antidepressant associated treatment emergent mania in bipolar disorder

Author

Nuñez, Nicolas A., Coombes, Brandon J., Beaupre, Lindsay Melhuish, Ozerdem, Aysegul, Resendez, Manuel Gardea, Romo-Nava, Francisco, Bond, David J., Veldic, Marin, Singh, Balwinder, Moore, Katherine M., Betcher, Hannah K., Kung, Simon, Prieto, Miguel L., Fuentes, Manuel, Ercis, Mete, Miola, Alessandro, Sanchez Ruiz, Jorge A., Jenkins, Gregory, Batzler, Anthony, Leung, Jonathan G., Cuellar-Barboza, Alfredo, Tye, Susannah J., McElroy, Susan L., Biernacka, Joanna M., and Frye, Mark A.

Published
2024
Full Text
View/download PDF

13. Predictors of functional impairment in bipolar disorder: Results from 13 cohorts from seven countries by the global bipolar cohort collaborative.

Author

Burdick, Katherine, Millett, Caitlin, Yocum, Anastasia, Altimus, Cara, Andreassen, Ole, Aubin, Valerie, Belzeaux, Raoul, Berk, Michael, Biernacka, Joanna, Blumberg, Hilary, Cleare, Anthony, Diaz-Byrd, Claudia, Dubertret, Caroline, Etain, Bruno, Lagerberg, Trine, Leboyer, Marion, Martinez-Aran, Anabel, McElroy, Susan, Mitchell, Philip, Olie, Emilie, Olorunfemi, Phebe, Passerieux, Christine, Peters, Amy, Pham, Daniel, Polosan, Mircea, Potter, Julia, Sajatovic, Martha, Samalin, Ludovic, Schwan, Raymund, Shanahan, Megan, Solé, Brisa, Strawbridge, Rebecca, Stuart, Amanda, Torres, Ivan, Ueland, Torrill, Vieta, Eduard, Williams, Lana, Wrobel, Anna, Yatham, Lakshmi, Young, Allan, Nierenberg, Andrew, McInnis, Melvin, Forester, Brent, Fullerton, Janice, Frye, Mark, Gard, Sébastien, Godin, Ophelia, Haffen, Emmanuel, Eyler, Lisa, and Klaus, Federica

Subjects
Humans, Bipolar Disorder, Prospective Studies, Longitudinal Studies, Affect, Cohort Studies
Abstract

OBJECTIVES: Persistent functional impairment is common in bipolar disorder (BD) and is influenced by a number of demographic, clinical, and cognitive features. The goal of this project was to estimate and compare the influence of key factors on community function in multiple cohorts of well-characterized samples of individuals with BD. METHODS: Thirteen cohorts from 7 countries included n = 5882 individuals with BD across multiple sites. The statistical approach consisted of a systematic uniform application of analyses across sites. Each site performed a logistic regression analysis with empirically derived higher versus lower function as the dependent variable and selected clinical and demographic variables as predictors. RESULTS: We found high rates of functional impairment, ranging from 41 to 75%. Lower community functioning was associated with depressive symptoms in 10 of 12 of the cohorts that included this variable in the analysis. Lower levels of education, a greater number of prior mood episodes, the presence of a comorbid substance use disorder, and a greater total number of psychotropic medications were also associated with low functioning. CONCLUSIONS: The bipolar clinical research community is poised to work together to characterize the multi-dimensional contributors to impairment and address the barriers that impede patients complete recovery. We must also identify the core features which enable many to thrive and live successfully with BD. A large-scale, worldwide, prospective longitudinal study focused squarely on BD and its heterogeneous presentations will serve as a platform for discovery and promote major advances toward optimizing outcomes for every individual with this illness.

Published
2022

18. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors.

Author

Mullins, Niamh, Kang, JooEun, Campos, Adrian I, Coleman, Jonathan RI, 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, Soler Artigas, María, Van der Auwera, Sandra, Azevedo, M Helena, Bass, Nicholas, Bau, Claiton HD, Baune, Bernhard T, Bellivier, Frank, Berger, Klaus, Biernacka, Joanna M, Bigdeli, Tim B, Binder, Elisabeth B, Boehnke, Michael, Boks, Marco P, Bosch, Rosa, and Braff, David L

Subjects
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, Humans, Risk Factors, Suicide, Attempted, Mental Disorders, Depressive Disorder, Major, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic correlation, Genome-wide association study, Pleiotropy, Polygenicity, Suicide, Suicide attempt, Human Genome, Behavioral and Social Science, Mental Health, Prevention, Genetics, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSuicide 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.MethodsWe 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.ResultsTwo 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.ConclusionsOur 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.

Published
2022

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

Author

Blokland, Gabriëlla AM, Grove, Jakob, Chen, Chia-Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Schizophrenia Working Group of the Psychiatric Genomics Consortium, St Clair, David, Lencz, Todd, Mowry, Bryan J, Periyasamy, Sathish, Cairns, Murray J, Tooney, Paul A, Wu, Jing Qin, Kelly, Brian, Kirov, George, Sullivan, Patrick F, Corvin, Aiden, Riley, Brien P, Esko, Tõnu, Milani, Lili, Jönsson, Erik G, Palotie, Aarno, Ehrenreich, Hannelore, Begemann, Martin, Steixner-Kumar, Agnes, Sham, Pak C, Iwata, Nakao, Weinberger, Daniel R, Gejman, Pablo V, Sanders, Alan R, Buxbaum, Joseph D, Rujescu, Dan, Giegling, Ina, Konte, Bettina, Hartmann, Annette M, Bramon, Elvira, Murray, Robin M, Pato, Michele T, Lee, Jimmy, Melle, Ingrid, Molden, Espen, Ophoff, Roel A, McQuillin, Andrew, Bass, Nicholas J, Adolfsson, Rolf, Malhotra, Anil K, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Martin, Nicholas G, Fullerton, Janice M, Mitchell, Philip B, Schofield, Peter R, Forstner, Andreas J, Degenhardt, Franziska, Schaupp, Sabrina, Comes, Ashley L, Kogevinas, Manolis, Guzman-Parra, José, Reif, Andreas, Streit, Fabian, Sirignano, Lea, Cichon, Sven, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Lissowska, Jolanta, Mayoral, Fermin, Müller-Myhsok, Bertram, Świątkowska, Beata, Schulze, Thomas G, Nöthen, Markus M, Rietschel, Marcella, Kelsoe, John, Leboyer, Marion, Jamain, Stéphane, Etain, Bruno, Bellivier, Frank, Vincent, John B, Alda, Martin, O'Donovan, Claire, Cervantes, Pablo, Biernacka, Joanna M, Frye, Mark, McElroy, Susan L, Scott, Laura J, Stahl, Eli A, Landén, Mikael, Hamshere, Marian L, Smeland, Olav B, Djurovic, Srdjan, Vaaler, Arne E, Andreassen, Ole A, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Baune, Bernhard T, Air, Tracy, Preisig, Martin, Uher, Rudolf, Levinson, Douglas F, Weissman, Myrna M, Potash, James B, and Shi, Jianxin

Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Endothelial Cells, Humans, Genetic Predisposition to Disease, Receptors, Vascular Endothelial Growth Factor, Sulfurtransferases, Bipolar Disorder, Depressive Disorder, Major, Psychotic Disorders, Schizophrenia, Sex Characteristics, Polymorphism, Single Nucleotide, Female, Male, Genome-Wide Association Study, Bipolar disorder, Genome-wide association study, Genotype-by-sex interaction, Major depressive disorder, Sex differences, Serious Mental Illness, Biotechnology, Mental Health, Genetics, Human Genome, Neurosciences, Brain Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.MethodsWe conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH.ResultsAcross disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10-8), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10-6) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10-7; rs73033497, p = 8.8 × 10-7; rs7914279, p = 6.4 × 10-7), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10-7) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10-7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10-7) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05).ConclusionsIn the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.

Published
2022

20. Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes

Author

Kshatriya, Bhavani Singh Agnikula, Nunez, Nicolas A, Resendez, Manuel Gardea, Ryu, Euijung, Coombes, Brandon J, Fu, Sunyang, Frye, Mark A, Biernacka, Joanna M, and Wang, Yanshan

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

Major depressive disorder (MDD) is a prevalent psychiatric disorder that is associated with significant healthcare burden worldwide. Phenotyping of MDD can help early diagnosis and consequently may have significant advantages in patient management. In prior research MDD phenotypes have been extracted from structured Electronic Health Records (EHR) or using Electroencephalographic (EEG) data with traditional machine learning models to predict MDD phenotypes. However, MDD phenotypic information is also documented in free-text EHR data, such as clinical notes. While clinical notes may provide more accurate phenotyping information, natural language processing (NLP) algorithms must be developed to abstract such information. Recent advancements in NLP resulted in state-of-the-art neural language models, such as Bidirectional Encoder Representations for Transformers (BERT) model, which is a transformer-based model that can be pre-trained from a corpus of unsupervised text data and then fine-tuned on specific tasks. However, such neural language models have been underutilized in clinical NLP tasks due to the lack of large training datasets. In the literature, researchers have utilized the distant supervision paradigm to train machine learning models on clinical text classification tasks to mitigate the issue of lacking annotated training data. It is still unknown whether the paradigm is effective for neural language models. In this paper, we propose to leverage the neural language models in a distant supervision paradigm to identify MDD phenotypes from clinical notes. The experimental results indicate that our proposed approach is effective in identifying MDD phenotypes and that the Bio- Clinical BERT, a specific BERT model for clinical data, achieved the best performance in comparison with conventional machine learning models.

Published
2021

21. Gearing up for the future: Exploring facilitators and barriers to inform clinical trial design in frontotemporal lobar degeneration

Author

Banga, Yasmin B, Lai, Yujung, Kim, Priscilla, Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Forsberg, Leah K, Heuer, Hilary W, Brushaber, Danielle, Appleby, Brian, Biernacka, Joanna M, Bordelon, Yvette M, Botha, Hugo, Bozoki, Andrea C, Brannelly, Patrick, Dickerson, Brad C, Dickinson, Susan, Dickson, Dennis W, Domoto‐Reilly, Kimiko, Faber, Kelley, Fagan, Anne M, Fields, Julie A, Fishman, Ann, Foroud, Tatiana M, Galasko, Doug R, Gavrilova, Ralitza H, Gendron, Tania F, Geschwind, Daniel H, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Jonathan, Graff‐Radford, Neill R, Grant, Ian, Grossman, Murray, Hsiung, Ging‐Yuek Robin, Huang, Eric J, Huey, Edward D, Irwin, David J, Jones, David T, Kantarci, Kejal, Karydas, Anna M, Kaufer, Daniel, Knopman, David S, Kramer, Joel H, Kremers, Walter K, Kornak, John, Kukull, Walter A, Lagone, Emma, Leger, Gabriel C, Litvan, Irene, Ljubenkov, Peter A, Lucente, Diane E, Mackenzie, Ian R, Manoochehri, Masood, Masdeu, Joseph C, McGinnis, Scott, Mendez, Mario F, Miller, Bruce L, Miyagawa, Toji, Nelson, Kevin M, Onyike, Chiadi U, Pantelyat, Alex, Pascual, Belen, Pearlman, Rodney, Petrucelli, Leonard, Pottier, Cyril P, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine P, Rascovsky, Katya, Rexach, Jessica E, Ritter, Aaron, Roberson, Erik D, Rojas, Julio C, Sabbagh, Marwan N, Salmon, David P, Savica, Rodolfo, Seeley, William W, Staffaroni, Adam M, Syrjanen, Jeremy A, Tartaglia, Maria Carmela, Tatton, Nadine, Taylor, Jack C, Toga, Arthur W, Weintraub, Sandra, Wheaton, Diana, Wong, Benjamin, Wszolek, Zbigniew, and Consortium, ALLFTD

Subjects
Frontotemporal Dementia (FTD), Rare Diseases, Behavioral and Social Science, Neurodegenerative, Acquired Cognitive Impairment, Basic Behavioral and Social Science, Brain Disorders, Clinical Research, Dementia, Aging, Biomedical Imaging, Clinical Trials and Supportive Activities, Neurological, Clinical Sciences, Neurosciences, Geriatrics
Abstract

BACKGROUND: Frontotemporal lobar degeneration (FTLD) refers to a group of neurodegenerative conditions, affecting the frontal and/or temporal lobes. Ongoing research has provided insight into developing clinical trials for FTLD and key clinical measures such as structural MRI. To inform clinical trial design and optimize participation, it is imperative to explore facilitators and barriers for potential candidates. OBJECTIVE: The objective of this study is to explore facilitators and barriers to participating in future clinical trials for FTLD. METHODS: Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) are observational studies focused on characterizing FTLD syndromes in preparation for clinical trials. The 584 participants enrolled across 18 research sites in the United States and Canada completed a survey assessing interest in clinical trial participation. RESULTS: 29% of respondents self-reported as patients (63±10 years), 26% self-reported as caregivers answering on behalf of patients (65±10 years), and 45% self-reported as healthy but at risk for FTLD (48±14 years). Travel reimbursement was the most common factor reported to positively influence participation (≧66%), with the healthy but at risk group showing the strongest endorsement (83%). Cost and time involved in travel were possible barriers for about half of the patients (48%) and healthy but at risk respondents (53%). The respondents value receiving feedback on the study findings (≧80%) and being informed of their individual disease progression (≧75%). Particularly, keeping participation confidential was very important for the healthy but at risk group (62%). In regard to research assessments, most participants demonstrated a high interest in physical and neurological exams at a research center (≧87%) whereas only half were interested in doing more invasive procedures such as the lumbar puncture (≧52%). Overall, respondents showed a positive attitude and support for research participation (≧77%) and trusted that their health information would remain confidential in a clinical trial (≧53%). CONCLUSIONS: Favorable attitudes and interest towards medical research exist among participants. To optimize participation, clinical trials should allocate funding for travel and involve participants in feedback about study results and their disease progression. Alternatives to invasive assessments may increase participation.

Published
2021

25. Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients

Author

Schubert, Klaus Oliver, Thalamuthu, Anbupalam, Amare, Azmeraw T, Frank, Joseph, Streit, Fabian, Adl, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M, Birner, Armin, Marie-Claire, Cynthia, Cearns, Micah, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R, Cruceanu, Cristiana, Czerski, Piotr M, Dalkner, Nina, Dayer, Alexandre, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J Raymond, Étain, Bruno, Falkai, Peter, Forstner, Andreas J, Frisen, Louise, Frye, Mark A, Fullerton, Janice M, Gard, Sébastien, Garnham, Julie S, Goes, Fernando S, Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hou, Liping, Hsu, Yi-Hsiang, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kuo, Po-Hsiu, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Ferensztajn-Rochowiak, Ewa, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G, Maj, Mario, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J, McElroy, Susan, Colom, Francesc, Mitjans, Marina, Mondimore, Francis M, Monteleone, Palmiero, Nievergelt, Caroline M, Nöthen, Markus M, Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Ösby, Urban, Papiol, Sergi, Pfennig, Andrea, Pisanu, Claudia, Potash, James B, Reif, Andreas, Reininghaus, Eva, Rouleau, Guy A, Rybakowski, Janusz K, Schalling, Martin, Schofield, Peter R, Schweizer, Barbara W, Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D, Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M, Squassina, Alessio, and Stamm, Thomas

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Serious Mental Illness, Mental Health, Brain Disorders, Schizophrenia, Bipolar Disorder, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Depression, Depressive Disorder, Major, Genetic Predisposition to Disease, Humans, Lithium, Multifactorial Inheritance, Risk Factors, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Clinical Sciences, Public Health and Health Services, Clinical sciences, Neurosciences, Biological psychology
Abstract

Lithium is the gold standard therapy for Bipolar Disorder (BD) but its effectiveness differs widely between individuals. The molecular mechanisms underlying treatment response heterogeneity are not well understood, and personalized treatment in BD remains elusive. Genetic analyses of the lithium treatment response phenotype may generate novel molecular insights into lithium's therapeutic mechanisms and lead to testable hypotheses to improve BD management and outcomes. We used fixed effect meta-analysis techniques to develop meta-analytic polygenic risk scores (MET-PRS) from combinations of highly correlated psychiatric traits, namely schizophrenia (SCZ), major depression (MD) and bipolar disorder (BD). We compared the effects of cross-disorder MET-PRS and single genetic trait PRS on lithium response. For the PRS analyses, we included clinical data on lithium treatment response and genetic information for n = 2283 BD cases from the International Consortium on Lithium Genetics (ConLi+Gen; www.ConLiGen.org ). Higher SCZ and MD PRSs were associated with poorer lithium treatment response whereas BD-PRS had no association with treatment outcome. The combined MET2-PRS comprising of SCZ and MD variants (MET2-PRS) and a model using SCZ and MD-PRS sequentially improved response prediction, compared to single-disorder PRS or to a combined score using all three traits (MET3-PRS). Patients in the highest decile for MET2-PRS loading had 2.5 times higher odds of being classified as poor responders than patients with the lowest decile MET2-PRS scores. An exploratory functional pathway analysis of top MET2-PRS variants was conducted. Findings may inform the development of future testing strategies for personalized lithium prescribing in BD.

Published
2021

27. Studying the natural history of frontotemporal lobar degeneration (FTLD): The ARTFL LEFFTDS longitudinal FTLD (ALLFTD) protocol

Author

Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Forsberg, Leah K, Heuer, Hilary W, Brushaber, Danielle, Appleby, Brian, Biernacka, Joanna M, Bordelon, Yvette M, Botha, Hugo, Brannelly, Patrick, Dickerson, Brad C, Dickson, Dennis W, Kimiko, Domoto‐Reilly, Faber, Kelley, Fagan, Anne, Fields, Julie A, Fishman, Ann, Foroud, Tatiana M, Galasko, Doug R, Gavrilova, Ralitza H, Gendron, Tania F, Geschwind, Daniel H, Ghoshal, Nupur, Goldman, Jill, Graff‐Radford, Jonathan, Graff‐Radford, Neill R, Grant, Ian, Grossman, Murray, Hsiung, Ging‐Yuek Robin, Huang, Eric J, Huey, Edward, Irwin, David J, Jones, David T, Kantarci, Kejal, Karydas, Anna M, Kaufer, Daniel, Knopman, David S, Kramer, Joel H, Kremers, Walter K, Kornak, John, Kukull, Walter A, Lagone, Emma, Leger, Gabriel C, Litvan, Irene, Ljubenkov, Peter A, Lucente, Diane E, Mackenzie, Ian R, Manoochehri, Masood, Masdeu, Joseph C, McGinnis, Scott, Mendez, Mario F, Miller, Bruce L, Miyagawa, Toji, Nelson, Kevin M, Onyike, Chiadi U, Pantelyat, Alex, Pascual, Belen, Pearlman, Rodney, Petrucelli, Leonard, Rademakers, Rosa, Ramos, Eliana Marisa, Rankin, Katherine, Rascovsky, Katya, Rexach, Jessica E, Ritter, Aaron, Roberson, Erik D, Rojas, Julio C, Sabbagh, Marwan N, Salmon, David P, Savica, Rodolfo, Seeley, William W, Staffaroni, Adam M, Syrjanen, Jeremy, Tartaglia, Carmela, Tatton, Nadine, Taylor, Joanne, Toga, Arthur W, Weintraub, Sandra, Wheaton, Diana, Wong, Bonnie, and Wszolek, Zbigniew

Subjects
Brain Disorders, Rare Diseases, Acquired Cognitive Impairment, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Trials and Supportive Activities, Clinical Research, Frontotemporal Dementia (FTD), Alzheimer's Disease Related Dementias (ADRD), Genetics, Neurosciences, Dementia, 2.1 Biological and endogenous factors, Geriatrics, Clinical Sciences
Published
2020

28. Insulin resistance in bipolar disorder: A systematic review of illness course and clinical correlates

Author

Miola, Alessandro, Alvarez-Villalobos, Neri A., Ruiz-Hernandez, Fernando Gerardo, De Filippis, Eleanna, Veldic, Marin, Prieto, Miguel L., Singh, Balwinder, Sanchez Ruiz, Jorge A., Nunez, Nicolas A., Resendez, Manuel Gardea, Romo-Nava, Francisco, McElroy, Susan L., Ozerdem, Aysegul, Biernacka, Joanna M., Frye, Mark A., and Cuellar-Barboza, Alfredo B.

Published
2023
Full Text
View/download PDF

31. Genetic predisposition to major depressive disorder differentially impacts alcohol consumption and high-risk drinking situations in men and women with alcohol use disorder

Author

Karpyak, Victor M., Coombes, Brandon J., Geske, Jennifer R., Pazdernik, Vanessa M., Schneekloth, Terry, Kolla, Bhanu Prakash, Oesterle, Tyler, Loukianova, Larissa L., Skime, Michelle K., Ho, Ada Man-Choi, Ngo, Quyen, Skillon, Cedric, Ho, Ming-Fen, Weinshilboum, Richard, and Biernacka, Joanna M.

Published
2023
Full Text
View/download PDF

32. GWAS of Suicide Attempt in Psychiatric Disorders and Association With Major Depression Polygenic Risk Scores

Author

Mullins, Niamh, Bigdeli, Tim B, Børglum, Anders D, Coleman, Jonathan RI, Demontis, Ditte, Mehta, Divya, Power, Robert A, Ripke, Stephan, Stahl, Eli A, Starnawska, Anna, Anjorin, Adebayo, Corvin, Aiden, Sanders, Alan R, Forstner, Andreas J, Reif, Andreas, Koller, Anna C, Świątkowska, Beata, Baune, Bernhard T, Müller-Myhsok, Bertram, Penninx, Brenda WJH, Pato, Carlos, Zai, Clement, Rujescu, Dan, Hougaard, David M, Quested, Digby, Levinson, Douglas F, Binder, Elisabeth B, Byrne, Enda M, Agerbo, Esben, Streit, Fabian, Mayoral, Fermin, Bellivier, Frank, Degenhardt, Franziska, Breen, Gerome, Morken, Gunnar, Turecki, Gustavo, Rouleau, Guy A, Grabe, Hans J, Völzke, Henry, Jones, Ian, Giegling, Ina, Agartz, Ingrid, Melle, Ingrid, Lawrence, Jacob, Walters, James TR, Strohmaier, Jana, Shi, Jianxin, Hauser, Joanna, Biernacka, Joanna M, Vincent, John B, Kelsoe, John, Strauss, John S, Lissowska, Jolanta, Pimm, Jonathan, Smoller, Jordan W, Guzman-Parra, José, Berger, Klaus, Scott, Laura J, Jones, Lisa A, Azevedo, M Helena, Trzaskowski, Maciej, Kogevinas, Manolis, Rietschel, Marcella, Boks, Marco, Ising, Marcus, Grigoroiu-Serbanescu, Maria, Hamshere, Marian L, Leboyer, Marion, Frye, Mark, Nöthen, Markus M, Alda, Martin, Preisig, Martin, Nordentoft, Merete, Boehnke, Michael, O’Donovan, Michael C, Owen, Michael J, Pato, Michele T, Renteria, Miguel E, Budde, Monika, Weissman, Myrna M, Wray, Naomi R, Bass, Nicholas, Craddock, Nicholas, Smeland, Olav B, Andreassen, Ole A, Mors, Ole, Gejman, Pablo V, Sklar, Pamela, McGrath, Patrick, Hoffmann, Per, McGuffin, Peter, Lee, Phil H, Mortensen, Preben Bo, Kahn, René S, Ophoff, Roel A, Adolfsson, Rolf, Van der Auwera, Sandra, Djurovic, Srdjan, Kloiber, Stefan, and Heilmann-Heimbach, Stefanie

Subjects
Prevention, Suicide, Serious Mental Illness, Schizophrenia, Human Genome, Depression, Mental Health, Genetics, Brain Disorders, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Bipolar Disorder, Case-Control Studies, Depressive Disorder, Major, Female, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Risk Factors, Suicide, Attempted, M.R.C.Psych, Dr.Med.Sc, Dipl.-Psych, 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, Mood Disorders, Polygenic Risk Scoring, Psychiatric Genomics Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveMore than 90% of people who attempt suicide have a psychiatric diagnosis; however, twin and family studies suggest that the genetic etiology of suicide attempt is partially distinct from that of the psychiatric disorders themselves. The authors present the largest genome-wide association study (GWAS) on suicide attempt, using cohorts of individuals with major depressive disorder, bipolar disorder, and schizophrenia from the Psychiatric Genomics Consortium.MethodsThe samples comprised 1,622 suicide attempters and 8,786 nonattempters with major depressive disorder; 3,264 attempters and 5,500 nonattempters with bipolar disorder; and 1,683 attempters and 2,946 nonattempters with schizophrenia. A GWAS on suicide attempt was performed by comparing attempters to nonattempters with each disorder, followed by a meta-analysis across disorders. Polygenic risk scoring was used to investigate the genetic relationship between suicide attempt and the psychiatric disorders.ResultsThree genome-wide significant loci for suicide attempt were found: one associated with suicide attempt in major depressive disorder, one associated with suicide attempt in bipolar disorder, and one in the meta-analysis of suicide attempt in mood disorders. These associations were not replicated in independent mood disorder cohorts from the UK Biobank and iPSYCH. No significant associations were found in the meta-analysis of all three disorders. Polygenic risk scores for major depression were significantly associated with suicide attempt in major depressive disorder (R2=0.25%), bipolar disorder (R2=0.24%), and schizophrenia (R2=0.40%).ConclusionsThis study provides new information on genetic associations and demonstrates that genetic liability for major depression increases risk for suicide attempt across psychiatric disorders. Further collaborative efforts to increase sample size may help to robustly identify genetic associations and provide biological insights into the etiology of suicide attempt.

Published
2019

33. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Author

Walters, Raymond K, Polimanti, Renato, Johnson, Emma C, McClintick, Jeanette N, Adams, Mark J, Adkins, Amy E, Aliev, Fazil, Bacanu, Silviu-Alin, Batzler, Anthony, Bertelsen, Sarah, Biernacka, Joanna M, Bigdeli, Tim B, Chen, Li-Shiun, Clarke, Toni-Kim, Chou, Yi-Ling, Degenhardt, Franziska, Docherty, Anna R, Edwards, Alexis C, Fontanillas, Pierre, Foo, Jerome C, Fox, Louis, Frank, Josef, Giegling, Ina, Gordon, Scott, Hack, Laura M, Hartmann, Annette M, Hartz, Sarah M, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hodgkinson, Colin, Hoffmann, Per, Jan Hottenga, Jouke, Kennedy, Martin A, Alanne-Kinnunen, Mervi, Konte, Bettina, Lahti, Jari, Lahti-Pulkkinen, Marius, Lai, Dongbing, Ligthart, Lannie, Loukola, Anu, Maher, Brion S, Mbarek, Hamdi, McIntosh, Andrew M, McQueen, Matthew B, Meyers, Jacquelyn L, Milaneschi, Yuri, Palviainen, Teemu, Pearson, John F, Peterson, Roseann E, Ripatti, Samuli, Ryu, Euijung, Saccone, Nancy L, Salvatore, Jessica E, Sanchez-Roige, Sandra, Schwandt, Melanie, Sherva, Richard, Streit, Fabian, Strohmaier, Jana, Thomas, Nathaniel, Wang, Jen-Chyong, Webb, Bradley T, Wedow, Robbee, Wetherill, Leah, Wills, Amanda G, Boardman, Jason D, Chen, Danfeng, Choi, Doo-Sup, Copeland, William E, Culverhouse, Robert C, Dahmen, Norbert, Degenhardt, Louisa, Domingue, Benjamin W, Elson, Sarah L, Frye, Mark A, Gäbel, Wolfgang, Hayward, Caroline, Ising, Marcus, Keyes, Margaret, Kiefer, Falk, Kramer, John, Kuperman, Samuel, Lucae, Susanne, Lynskey, Michael T, Maier, Wolfgang, Mann, Karl, Männistö, Satu, Müller-Myhsok, Bertram, Murray, Alison D, Nurnberger, John I, Palotie, Aarno, Preuss, Ulrich, Räikkönen, Katri, Reynolds, Maureen D, Ridinger, Monika, Scherbaum, Norbert, Schuckit, Marc A, Soyka, Michael, Treutlein, Jens, Witt, Stephanie, and Wodarz, Norbert

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Alcoholism, Alcohol Use and Health, Neurosciences, Brain Disorders, Substance Misuse, Mental Health, Genetics, Behavioral and Social Science, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Alcoholism, Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Mental Disorders, Phenotype, Polymorphism, Single Nucleotide, 23andMe Research Team, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.

Published
2018

34. Genome-wide association study for circulating FGF21 in patients with alcohol use disorder: Molecular links between the SNHG16 locus and catecholamine metabolism

Author

Ho, Ming-Fen, Zhang, Cheng, Moon, Irene, Wei, Lixuan, Coombes, Brandon, Biernacka, Joanna, Skime, Michelle, Choi, Doo-Sup, Frye, Mark, Schmidt, Kristen, Gliske, Kate, Braughton, Jacqueline, Ngo, Quyen, Skillon, Cedric, Seppala, Marvin, Oesterle, Tyler, Karpyak, Victor, Li, Hu, and Weinshilboum, Richard

Published
2022
Full Text
View/download PDF

37. Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients

Author

Schubert, Klaus Oliver, Thalamuthu, Anbupalam, Amare, Azmeraw T., Frank, Joseph, Streit, Fabian, Adl, Mazda, Akula, Nirmala, Akiyama, Kazufumi, Ardau, Raffaella, Arias, Bárbara, Aubry, Jean-Michel, Backlund, Lena, Bhattacharjee, Abesh Kumar, Bellivier, Frank, Benabarre, Antonio, Bengesser, Susanne, Biernacka, Joanna M., Birner, Armin, Marie-Claire, Cynthia, Cearns, Micah, Cervantes, Pablo, Chen, Hsi-Chung, Chillotti, Caterina, Cichon, Sven, Clark, Scott R., Cruceanu, Cristiana, Czerski, Piotr M., Dalkner, Nina, Dayer, Alexandre, Degenhardt, Franziska, Del Zompo, Maria, DePaulo, J. Raymond, Étain, Bruno, Falkai, Peter, Forstner, Andreas J., Frisen, Louise, Frye, Mark A., Fullerton, Janice M., Gard, Sébastien, Garnham, Julie S., Goes, Fernando S., Grigoroiu-Serbanescu, Maria, Grof, Paul, Hashimoto, Ryota, Hauser, Joanna, Heilbronner, Urs, Herms, Stefan, Hoffmann, Per, Hou, Liping, Hsu, Yi-Hsiang, Jamain, Stephane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kuo, Po-Hsiu, Kato, Tadafumi, Kelsoe, John, Kittel-Schneider, Sarah, Ferensztajn-Rochowiak, Ewa, König, Barbara, Kusumi, Ichiro, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G., Maj, Mario, Manchia, Mirko, Martinsson, Lina, McCarthy, Michael J., McElroy, Susan, Colom, Francesc, Mitjans, Marina, Mondimore, Francis M., Monteleone, Palmiero, Nievergelt, Caroline M., Nöthen, Markus M., Novák, Tomas, O’Donovan, Claire, Ozaki, Norio, Ösby, Urban, Papiol, Sergi, Pfennig, Andrea, Pisanu, Claudia, Potash, James B., Reif, Andreas, Reininghaus, Eva, Rouleau, Guy A., Rybakowski, Janusz K., Schalling, Martin, Schofield, Peter R., Schweizer, Barbara W., Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D., Shimoda, Katzutaka, Simhandl, Christian, Slaney, Claire M., Squassina, Alessio, Stamm, Thomas, Stopkova, Pavla, Tekola-Ayele, Fasil, Tortorella, Alfonso, Turecki, Gustavo, Veeh, Julia, Vieta, Eduard, Witt, Stephanie H., Roberts, Gloria, Zandi, Peter P., Alda, Martin, Bauer, Michael, McMahon, Francis J., Mitchell, Philip B., Schulze, Thomas G., Rietschel, Marcella, and Baune, Bernhard T.

Published
2022
Full Text
View/download PDF

38. Identifying the Common Genetic Basis of Antidepressant Response

Author

Kasper, Siegfried, Zohar, Joseph, Souery, Daniel, Montgomery, Stuart, Albani, Diego, Forloni, Gianluigi, Ferentinos, Panagiotis, Rujescu, Dan, Mendlewicz, Julien, Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K., Foo, Jerome C., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Howard, David M., Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A., Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C.B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E.J.C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W.J.H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Pain, Oliver, Hodgson, Karen, Marshe, Victoria S., Campos, Adrian I., Carrillo-Roa, Tania, Cattaneo, Annamaria, Als, Thomas D., Dernovsek, Mojca Z., Fabbri, Chiara, Henigsberg, Neven, Hauser, Joanna, Kennedy, James L., Lenze, Eric J., Müller, Daniel J., Mulsant, Benoit H., Perroud, Nader, Rentería, Miguel E., Reynolds, Charles F., III, Wigmore, Eleanor M., Aitchison, Katherine J., Biernacka, Joanna M., Bondolfi, Guido, Kato, Masaki, Liu, Yu-Li, Serretti, Alessandro, Tsai, Shih-Jen, Turecki, Gustavo, and Weinshilboum, Richard

Published
2022
Full Text
View/download PDF

40. Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

Author

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

Subjects
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.

Published
2018

41. Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder

Author

Reinbold, Céline S, Forstner, Andreas J, Hecker, Julian, Fullerton, Janice M, Hoffmann, Per, Hou, Liping, Heilbronner, Urs, Degenhardt, Franziska, Adli, Mazda, Akiyama, Kazufumi, Akula, Nirmala, Ardau, Raffaella, Arias, Bárbara, Backlund, Lena, Benabarre, Antonio, Bengesser, Susanne, Bhattacharjee, Abesh K, Biernacka, Joanna M, Birner, Armin, Marie-Claire, Cynthia, Cervantes, Pablo, Chen, Guo-Bo, Chen, Hsi-Chung, Chillotti, Caterina, Clark, Scott R, Colom, Francesc, Cousins, David A, Cruceanu, Cristiana, Czerski, Piotr M, Dayer, Alexandre, Étain, Bruno, Falkai, Peter, Frisén, Louise, Gard, Sébastien, Garnham, Julie S, Goes, Fernando S, Grof, Paul, Gruber, Oliver, Hashimoto, Ryota, Hauser, Joanna, Herms, Stefan, Jamain, Stéphane, Jiménez, Esther, Kahn, Jean-Pierre, Kassem, Layla, Kittel-Schneider, Sarah, Kliwicki, Sebastian, König, Barbara, Kusumi, Ichiro, Lackner, Nina, Laje, Gonzalo, Landén, Mikael, Lavebratt, Catharina, Leboyer, Marion, Leckband, Susan G, Jaramillo, Carlos A López, MacQueen, Glenda, Manchia, Mirko, Martinsson, Lina, Mattheisen, Manuel, McCarthy, Michael J, McElroy, Susan L, Mitjans, Marina, Mondimore, Francis M, Monteleone, Palmiero, Nievergelt, Caroline M, Ösby, Urban, Ozaki, Norio, Perlis, Roy H, Pfennig, Andrea, Reich-Erkelenz, Daniela, Rouleau, Guy A, Schofield, Peter R, Schubert, K Oliver, Schweizer, Barbara W, Seemüller, Florian, Severino, Giovanni, Shekhtman, Tatyana, Shilling, Paul D, Shimoda, Kazutaka, Simhandl, Christian, Slaney, Claire M, Smoller, Jordan W, Squassina, Alessio, Stamm, Thomas J, Stopkova, Pavla, Tighe, Sarah K, Tortorella, Alfonso, Turecki, Gustavo, Volkert, Julia, Witt, Stephanie H, Wright, Adam J, Young, L Trevor, Zandi, Peter P, Potash, James B, DePaulo, J Raymond, Bauer, Michael, Reininghaus, Eva, Novák, Tomáš, and Aubry, Jean-Michel

Subjects
Mental Health, Brain Disorders, Clinical Research, Serious Mental Illness, Bipolar Disorder, Human Genome, Genetics, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Mental health, bipolar disorder, lithium response, microRNA, common variants, genome-wide association study, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

Bipolar disorder (BD) is a common, highly heritable neuropsychiatric disease characterized by recurrent episodes of mania and depression. Lithium is the best-established long-term treatment for BD, even though individual response is highly variable. Evidence suggests that some of this variability has a genetic basis. This is supported by the largest genome-wide association study (GWAS) of lithium response to date conducted by the International Consortium on Lithium Genetics (ConLiGen). Recently, we performed the first genome-wide analysis of the involvement of miRNAs in BD and identified nine BD-associated miRNAs. However, it is unknown whether these miRNAs are also associated with lithium response in BD. In the present study, we therefore tested whether common variants at these nine candidate miRNAs contribute to the variance in lithium response in BD. Furthermore, we systematically analyzed whether any other miRNA in the genome is implicated in the response to lithium. For this purpose, we performed gene-based tests for all known miRNA coding genes in the ConLiGen GWAS dataset (n = 2,563 patients) using a set-based testing approach adapted from the versatile gene-based test for GWAS (VEGAS2). In the candidate approach, miR-499a showed a nominally significant association with lithium response, providing some evidence for involvement in both development and treatment of BD. In the genome-wide miRNA analysis, 71 miRNAs showed nominally significant associations with the dichotomous phenotype and 106 with the continuous trait for treatment response. A total of 15 miRNAs revealed nominal significance in both phenotypes with miR-633 showing the strongest association with the continuous trait (p = 9.80E-04) and miR-607 with the dichotomous phenotype (p = 5.79E-04). No association between miRNAs and treatment response to lithium in BD in either of the tested conditions withstood multiple testing correction. Given the limited power of our study, the investigation of miRNAs in larger GWAS samples of BD and lithium response is warranted.

Published
2018

46. Deiodinase variation and liothyronine treatment interaction to accelerate ECT response in major depression: Pilot data and implications for thyroid pharmacogenomic testing in mood disorders

Author

Nuñez, Nicolas A, Sola, Christopher, Kung, Simon, Singh, Balwinder, Ozerdem, Aysegul, Veldic, Marin, Croarkin, Paul E., Moore, Katherine M., Betcher, Hannah K., Vande Voort, Jennifer L., Geske, Jennifer R., Biernacka, Joanna M., Rummans, Teresa A., Bahn, Rebecca S, and Frye, Mark A.

Published
2021
Full Text
View/download PDF

47. Genetic contributions to alcohol use disorder treatment outcomes: a genome-wide pharmacogenomics study

Author

Biernacka, Joanna M., Coombes, Brandon J., Batzler, Anthony, Ho, Ada Man-Choi, Geske, Jennifer R., Frank, Josef, Hodgkinson, Colin, Skime, Michelle, Colby, Colin, Zillich, Lea, Pozsonyiova, Sofia, Ho, Ming-Fen, Kiefer, Falk, Rietschel, Marcella, Weinshilboum, Richard, O’Malley, Stephanie S., Mann, Karl, Anton, Ray, Goldman, David, and Karpyak, Victor M.

Published
2021
Full Text
View/download PDF

48. Real-World Clinical Practice Among Patients With Bipolar Disorder and Chronic Kidney Disease on Long-term Lithium Therapy

Author

Kumar, Rakesh, Joseph, Boney, Pazdernik, Vanessa M., Geske, Jennifer, Nuñez, Nicolas A., Pahwa, Mehak, Kashani, Kianoush B., Veldic, Marin, Betcher, Hannah K., Moore, Katherine M., Croarkin, Paul E., Ozerdem, Aysegul, Cuellar-Barboza, Alfredo B., McElroy, Susan L., Biernacka, Joanna M., Frye, Mark A., and Singh, Balwinder

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results