S. Colbert, N. Mullins, G. Chan, J. Meyers, Jessica Schulman, S. Kuperman, D. Lai, J. Nurnberger, M. Plawecki, C. Kamarajan, A. Anokhin, K. Bucholz, V. Hesselbrock, H. Edenberg, J. Kramer, D. Dick, B. Porjesz, A. Agrawal, E. Johnson
{"title":"Polygenic contributions to suicidal thoughts and behaviors in a sample ascertained for alcohol use disorders","authors":"S. Colbert, N. Mullins, G. Chan, J. Meyers, Jessica Schulman, S. Kuperman, D. Lai, J. Nurnberger, M. Plawecki, C. Kamarajan, A. Anokhin, K. Bucholz, V. Hesselbrock, H. Edenberg, J. Kramer, D. Dick, B. Porjesz, A. Agrawal, E. Johnson","doi":"10.1101/2022.08.18.22278943","DOIUrl":"https://doi.org/10.1101/2022.08.18.22278943","url":null,"abstract":"Suicidal thoughts and behaviors have partially distinct genetic etiologies. We used PRS-CS to create polygenic risk scores (PRS) from GWAS of non-suicidal self-injury, broad sense self-harm ideation, non-fatal suicide attempt, death by suicide, and depression. Using mixed-effect models, we estimated whether these PRS were associated with a range of suicidal thoughts and behaviors in the Collaborative Study on the Genetics of Alcoholism (N = 7,526). All PRS were significantly associated with suicidal ideation and suicide attempt (betas=0.08-0.44, FDR<0.023). All PRS except non-suicidal self-injury PRS were associated with active suicidal ideation and severity of suicidality (betas=0.04-0.22, FDR<0.034). Several associations remained significant in models where all significant PRS were included as simultaneous predictors, and when all PRS predicted suicide attempt, the PRS together explained 6.2% of the variance in suicide attempt. Significant associations were also observed between some PRS and persistent suicidal ideation, non-suicidal self-injury, attempt severity and desire to die. Our findings suggest that PRS for depression does not explain the entirety of the variance in suicidal thoughts and behaviors, with PRS specifically for suicidal thoughts and behaviors making additional and sometimes unique contributions.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83718752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Schäfer, L. R. Gorjão, G. Yalcin, Ellen Förstner, Richard Jumar, H. Maass, U. Kühnapfel, V. Hagenmeyer
{"title":"Microscopic fluctuations in power-grid frequency recordings at the sub-second scale","authors":"B. Schäfer, L. R. Gorjão, G. Yalcin, Ellen Förstner, Richard Jumar, H. Maass, U. Kühnapfel, V. Hagenmeyer","doi":"10.48550/arXiv.2208.06379","DOIUrl":"https://doi.org/10.48550/arXiv.2208.06379","url":null,"abstract":"Complex systems, such as the power grid, are essential for our daily lives. Many\u0000 complex systems display multifractal behavior, correlated fluctuations and power\u0000 laws. Whether the power-grid frequency, an indicator of the balance of supply\u0000 and demand in the electricity grid, also displays such complexity remains a\u0000 mostly open question. Within the present article, we utilize highly resolved\u0000 measurements to quantify the properties of the power-grid frequency, making\u0000 three key contributions: First, we demonstrate the existence of power laws in\u0000 power-grid frequency measurements. Second, we show that below one second, the\u0000 dynamics may fundamentally change, including a suddenly increasing power\u0000 spectral density, emergence of multifractality and a change of correlation\u0000 behavior. Third, we provide a simplified stochastic model involving positively\u0000 correlated noise to reproduce the observed dynamics, possibly linked to\u0000 frequency-dependent loads. Finally, we stress the need for high-quality\u0000 measurements and discuss how we obtained the data analyzed here.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"85 1","pages":"2657039:1-2657039:13"},"PeriodicalIF":0.0,"publicationDate":"2022-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89034115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Low complexity, low probability patterns and consequences for algorithmic probability applications","authors":"Mohamed Alaskandarani, K. Dingle","doi":"10.48550/arXiv.2207.12251","DOIUrl":"https://doi.org/10.48550/arXiv.2207.12251","url":null,"abstract":"Developing new ways to estimate probabilities can be valuable for science, statistics, engineering, and other fields. By considering the information content of different output patterns, recent work invoking algorithmic information theory inspired arguments has shown that a priori probability predictions based on pattern complexities can be made in a broad class of input-output maps. These algorithmic probability predictions do not depend on a detailed knowledge of how output patterns were produced, or historical statistical data. Although quantitatively fairly accurate, a main weakness of these predictions is that they are given as an upper bound on the probability of a pattern, but many low complexity, low probability patterns occur, for which the upper bound has little predictive value. Here, we study this low complexity, low probability phenomenon by looking at example maps, namely a finite state transducer, natural time series data, RNA molecule structures, and polynomial curves. Some mechanisms causing low complexity, low probability behaviour are identified, and we argue this behaviour should be assumed as a default in the real-world algorithmic probability studies. Additionally, we examine some applications of algorithmic probability and discuss some implications of low complexity, low probability patterns for several research areas including simplicity in physics and biology, a priori probability predictions, Solomonoff induction and Occam’s razor, machine learning, and password guessing.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"10 1","pages":"9696075:1-9696075:15"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84161819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinyu Wang, Liang Zhao, Ning Zhang, Liu Feng, Haibo Lin
{"title":"Stability of China's Stock Market: Measure and Forecast by Ricci Curvature on Network","authors":"Xinyu Wang, Liang Zhao, Ning Zhang, Liu Feng, Haibo Lin","doi":"10.48550/arXiv.2204.06692","DOIUrl":"https://doi.org/10.48550/arXiv.2204.06692","url":null,"abstract":"The systemic stability of a stock market is one of the core issues in the financial field. The market can be regarded as a complex network whose nodes are stocks connected by edges that signify their correlation strength. Since the market is a strongly nonlinear system, it is difficult to measure the macroscopic stability and depict market fluctuations in time. In this article, we use a geometric measure derived from discrete Ricci curvature to capture the higher-order nonlinear architecture of financial networks. In order to confirm the effectiveness of our method, we use it to analyze the CSI 300 constituents of China’s stock market from 2005 to 2020 and the systemic stability of the market is quantified through the network’s Ricci-type curvatures. Furthermore, we use a hybrid model to analyze the curvature time series and predict the future trends of the market accurately. As far as we know, this is the first article to apply Ricci curvature to forecast the systemic stability of China’s stock market, and our results show that Ricci curvature has good explanatory power for the market stability and can be a good indicator to judge the future risk and volatility of China’s stock market.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"81 1","pages":"2361405:1-2361405:12"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89007498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Norihiro Okada, T. Yamagami, N. Chauvet, Yu Ito, M. Hasegawa, M. Naruse
{"title":"Theory of Acceleration of Decision Making by Correlated Times Sequences","authors":"Norihiro Okada, T. Yamagami, N. Chauvet, Yu Ito, M. Hasegawa, M. Naruse","doi":"10.48550/arXiv.2203.16004","DOIUrl":"https://doi.org/10.48550/arXiv.2203.16004","url":null,"abstract":"Photonic accelerators have been intensively studied to provide enhanced information processing capability to benefit from the unique attributes of physical processes. Recently, it has been reported that chaotically oscillating ultrafast time series from a laser, called laser chaos, provides the ability to solve multi-armed bandit (MAB) problems or decision-making problems at GHz order. Furthermore, it has been confirmed that the negatively correlated time-domain structure of laser chaos contributes to the acceleration of decision-making. However, the underlying mechanism of why decision-making is accelerated by correlated time series is unknown. In this study, we demonstrate a theoretical model to account for accelerating decision-making by correlated time sequence. We first confirm the effectiveness of the negative autocorrelation inherent in time series for solving two-armed bandit problems using Fourier transform surrogate methods. We propose a theoretical model that concerns the correlated time series subjected to the decision-making system and the internal status of the system therein in a unified manner, inspired by correlated random walks. We demonstrate that the performance derived analytically by the theory agrees well with the numerical simulations, which confirms the validity of the proposed model and leads to optimal system design. This study paves the way for improving the effectiveness of correlated time series for decision-making, impacting artificial intelligence and other applications.","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"17 1","pages":"5205580:1-5205580:13"},"PeriodicalIF":0.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80563801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olaoluwa O Okusaga, Rachel L Kember, Gina M Peloso, Roseann E Peterson, Mariana Vujkovic, Brian G Mitchell, Jared Bernard, Annette Walder, Tim B Bigdeli
{"title":"History of Suicide Attempts and COVID-19 Infection in Veterans with Schizophrenia or Schizoaffective Disorder: Moderating Effects of Age and Body Mass Index.","authors":"Olaoluwa O Okusaga, Rachel L Kember, Gina M Peloso, Roseann E Peterson, Mariana Vujkovic, Brian G Mitchell, Jared Bernard, Annette Walder, Tim B Bigdeli","doi":"10.1159/000521230","DOIUrl":"https://doi.org/10.1159/000521230","url":null,"abstract":"<p><strong>Introduction: </strong>Relative to the general population, patients with schizophrenia or schizoaffective disorder have higher rates of suicide attempts and mortality from COVID-19 infection. Therefore, determining whether a history of suicide attempt is associated with COVID-19 in patients with schizophrenia or schizoaffective disorder has implications for COVID-19 vulnerability stratification in this patient population.</p><p><strong>Methods: </strong>We carried out cross-sectional analyses of electronic health records of veterans with a diagnosis of schizophrenia or schizoaffective disorder that received treatment at any United States Veterans Affairs Medical Center between January 1, 2020, and January 31, 2021. We used logistic regression to estimate unadjusted and adjusted (including age, sex, race, marital status, body mass index (BMI), and a medical comorbidity score) odds ratios (ORs) for COVID-19 positivity in suicide attempters relative to nonattempters.</p><p><strong>Results: </strong>A total of 101,032 veterans (mean age 56.67 ± 13.13 years; males 91,715 [90.8%]) were included in the analyses. There were 2,703 (2.7%) suicide attempters and 719 (0.7%) patients were positive for COVID-19. The association between history of suicide attempt and COVID-19 positivity was modified by age and BMI, such that the relationship was only significant in patients younger than 59 years, and in obese (BMI ≥30) patients (adjusted OR 3.42, 95% CI 2.02-5.79 and OR 2.85, 95% CI 1.65-4.94, respectively).</p><p><strong>Conclusions: </strong>Higher rates of COVID-19 in young or obese suicide attempters with a diagnosis of schizophrenia or schizoaffective disorder might be due to the elevated risk for the infection in this subgroup of patients.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"392 ","pages":"1789-1795"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805065/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39772146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Complex psychiatryPub Date : 2021-12-01Epub Date: 2021-07-09DOI: 10.1159/000518098
Lívia Ramos-da-Silva, Pamela T Carlson, Licia C Silva-Costa, Daniel Martins-de-Souza, Valéria de Almeida
{"title":"Molecular Mechanisms Associated with Antidepressant Treatment on Major Depression.","authors":"Lívia Ramos-da-Silva, Pamela T Carlson, Licia C Silva-Costa, Daniel Martins-de-Souza, Valéria de Almeida","doi":"10.1159/000518098","DOIUrl":"https://doi.org/10.1159/000518098","url":null,"abstract":"<p><p>Major depressive disorder (MDD) is a complex and multifactorial psychiatric disorder that causes serious health, social, and economic concerns worldwide. The main treatment of the symptoms is through antidepressant (AD) drugs. However, not all patients respond properly to these drugs. Omic sciences are widely used to analyze not only biomarkers for the AD response but also their molecular mechanism. In this review, we aimed to focus on omics data to better understand the molecular mechanisms involving AD effects on MDD. We consistently found, from preclinical to clinical data, that glutamatergic transmission, immune/inflammatory processes, energy metabolism, oxidative stress, and lipid metabolism were associated with traditional and potential new ADs. Despite efforts of studies investigating biomarkers of response to ADs, which could contribute to personalized treatment, there is no biomarker panel available for clinical application. From clinical genomic studies, we found that the main findings contribute to the development of pharmacogenomic tests for AD efficacy for each patient. Several studies pointed at <i>DRD2</i>, <i>PXDNL</i>, <i>CACNA1E</i>, and <i>CACNA2D1</i> genes as potential targets for MDD treatment and the efficacy and rapid-antidepressant effect of ketamine. Finally, more in-depth studies of the molecular targets pointed here are needed to determine the clinical relevance and provide further evidence for precision MDD treatment.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":" ","pages":"49-59"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1159/000518098","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40490485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Complex psychiatryPub Date : 2021-12-01Epub Date: 2021-08-24DOI: 10.1159/000518926
Beatriz Camarena, Elizabeth G Atkinson, Mark Baker, Claudia Becerra-Palars, Lori B Chibnik, Raúl Escamilla-Orozco, Joanna Jiménez-Pavón, Zan Koenig, Carla Márquez-Luna, Alicia R Martin, Ingrid Pamela Morales-Cedillo, Ana Maria Olivares, Hiram Ortega-Ortiz, Alejandra Monserrat Rodriguez-Ramírez, Ricardo Saracco-Alvarez, Rebecca E Basaldua, Brena F Sena, Karestan C Koenen
{"title":"Neuropsychiatric Genetics of Psychosis in the Mexican Population: A Genome-Wide Association Study Protocol for Schizophrenia, Schizoaffective, and Bipolar Disorder Patients and Controls.","authors":"Beatriz Camarena, Elizabeth G Atkinson, Mark Baker, Claudia Becerra-Palars, Lori B Chibnik, Raúl Escamilla-Orozco, Joanna Jiménez-Pavón, Zan Koenig, Carla Márquez-Luna, Alicia R Martin, Ingrid Pamela Morales-Cedillo, Ana Maria Olivares, Hiram Ortega-Ortiz, Alejandra Monserrat Rodriguez-Ramírez, Ricardo Saracco-Alvarez, Rebecca E Basaldua, Brena F Sena, Karestan C Koenen","doi":"10.1159/000518926","DOIUrl":"10.1159/000518926","url":null,"abstract":"<p><p>No large-scale genome-wide association studies (GWASs) of psychosis have been conducted in Mexico or Latin America to date. Schizophrenia and bipolar disorder in particular have been found to be highly heritable and genetically influenced. However, understanding of the biological basis of psychosis in Latin American populations is limited as previous genomic studies have almost exclusively relied on participants of Northern European ancestry. With the goal of expanding knowledge on the genomic basis of psychotic disorders within the Mexican population, the National Institute of Psychiatry Ramón de la Fuente Muñiz (INPRFM), the Harvard T.H. Chan School of Public Health, and the Broad Institute's Stanley Center for Psychiatric Research launched the Neuropsychiatric Genetics Research of Psychosis in Mexican Populations (NeuroMex) project to collect and analyze case-control psychosis samples from 5 states across Mexico. This article describes the planned sample collection and GWAS protocol for the NeuroMex study. The 4-year study will span from April 2018 to 2022 and aims to recruit 9,208 participants: 4,604 cases and 4,604 controls. Study sites across Mexico were selected to ensure collected samples capture the genomic diversity within the Mexican population. Blood samples and phenotypic data will be collected during the participant interview process and will contribute to the development of a local biobank in Mexico. DNA extraction will be done locally and genetic analysis will take place at the Broad Institute in Cambridge, MA. We will collect extensive phenotypic information using several clinical scales. All study materials including phenotypic instruments utilized are openly available in Spanish and English. The described study represents a long-term collaboration of a number of institutions from across Mexico and the Boston area, including clinical psychiatrists, clinical researchers, computational biologists, and managers at the 3 collaborating institutions. The development of relevant data management, quality assurance, and analysis plans are the primary considerations in this protocol article. Extensive management and analysis processes were developed for both the phenotypic and genetic data collected. Capacity building, partnerships, and training between and among the collaborating institutions are intrinsic components to this study and its long-term success.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"7 3-4","pages":"60-70"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740081/pdf/cxp-0007-0060.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33438095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Complex psychiatryPub Date : 2021-12-01Epub Date: 2021-08-05DOI: 10.1159/000518863
Travis T Mallard, Sandra Sanchez-Roige
{"title":"Dimensional Phenotypes in Psychiatric Genetics: Lessons from Genome-Wide Association Studies of Alcohol Use Phenotypes.","authors":"Travis T Mallard, Sandra Sanchez-Roige","doi":"10.1159/000518863","DOIUrl":"10.1159/000518863","url":null,"abstract":"","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":"7 3-4","pages":"45-48"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739983/pdf/cxp-0007-0045.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39739651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Complex psychiatryPub Date : 2021-12-01Epub Date: 2021-11-18DOI: 10.1159/000519707
Brandon J Coombes, Vincent Millischer, Anthony Batzler, Beth Larrabee, Liping Hou, Sergi Papiol, Urs Heilbronner, Mazda Adli, Kazufumi Akiyama, Nirmala Akula, Azmeraw T Amare, Raffaella Ardau, Barbara Arias, Jean-Michel Aubry, Lena Backlund, Michael Bauer, Bernhard T Baune, Frank Bellivier, Antoni Benabarre, Susanne Bengesser, Abesh Kumar Bhattacharjee, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Scott R Clark, Francesc Colom, Cristiana Cruceanu, Piotr M Czerski, Nina Dalkner, Franziska Degenhardt, Maria Del Zompo, J Raymond DePaulo, Bruno Étain, Peter Falkai, Ewa Ferensztajn-Rochowiak, Andreas J Forstner, Louise Frisen, Sébastien Gard, Julie S Garnham, Fernando S Goes, Maria Grigoroiu-Serbanescu, Paul Grof, Ryota Hashimoto, Joanna Hauser, Stefan Herms, Per Hoffmann, Stephane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Tadafumi Kato, John R Kelsoe, Sarah Kittel-Schneider, Barbara König, Po-Hsiu Kuo, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G Leckband, Mario Maj, Mirko Manchia, Lina Martinsson, Michael J McCarthy, Susan L McElroy, Philip B Mitchell, Marina Mitjans, Francis M Mondimore, Palmiero Monteleone, Caroline M Nievergelt, Markus M Nöthen, Tomas Novák, Claire O'Donovan, Urban Osby, Norio Ozaki, Andrea Pfennig, Claudia Pisanu, James B Potash, Andreas Reif, Eva Reininghaus, Marcella Rietschel, Guy A Rouleau, Janusz K Rybakowski, Martin Schalling, Peter R Schofield, Klaus Oliver Schubert, Barbara W Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Alfonso Tortorella, Gustavo Turecki, Eduard Vieta, Stephanie H Witt, Peter P Zandi, Janice M Fullerton, Martin Alda, Mark A Frye, Thomas G Schulze, Francis J McMahon, Joanna M Biernacka
{"title":"Association of Attention-Deficit/Hyperactivity Disorder and Depression Polygenic Scores with Lithium Response: A Consortium for Lithium Genetics Study.","authors":"Brandon J Coombes, Vincent Millischer, Anthony Batzler, Beth Larrabee, Liping Hou, Sergi Papiol, Urs Heilbronner, Mazda Adli, Kazufumi Akiyama, Nirmala Akula, Azmeraw T Amare, Raffaella Ardau, Barbara Arias, Jean-Michel Aubry, Lena Backlund, Michael Bauer, Bernhard T Baune, Frank Bellivier, Antoni Benabarre, Susanne Bengesser, Abesh Kumar Bhattacharjee, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Scott R Clark, Francesc Colom, Cristiana Cruceanu, Piotr M Czerski, Nina Dalkner, Franziska Degenhardt, Maria Del Zompo, J Raymond DePaulo, Bruno Étain, Peter Falkai, Ewa Ferensztajn-Rochowiak, Andreas J Forstner, Louise Frisen, Sébastien Gard, Julie S Garnham, Fernando S Goes, Maria Grigoroiu-Serbanescu, Paul Grof, Ryota Hashimoto, Joanna Hauser, Stefan Herms, Per Hoffmann, Stephane Jamain, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Tadafumi Kato, John R Kelsoe, Sarah Kittel-Schneider, Barbara König, Po-Hsiu Kuo, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G Leckband, Mario Maj, Mirko Manchia, Lina Martinsson, Michael J McCarthy, Susan L McElroy, Philip B Mitchell, Marina Mitjans, Francis M Mondimore, Palmiero Monteleone, Caroline M Nievergelt, Markus M Nöthen, Tomas Novák, Claire O'Donovan, Urban Osby, Norio Ozaki, Andrea Pfennig, Claudia Pisanu, James B Potash, Andreas Reif, Eva Reininghaus, Marcella Rietschel, Guy A Rouleau, Janusz K Rybakowski, Martin Schalling, Peter R Schofield, Klaus Oliver Schubert, Barbara W Schweizer, Giovanni Severino, Tatyana Shekhtman, Paul D Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Alfonso Tortorella, Gustavo Turecki, Eduard Vieta, Stephanie H Witt, Peter P Zandi, Janice M Fullerton, Martin Alda, Mark A Frye, Thomas G Schulze, Francis J McMahon, Joanna M Biernacka","doi":"10.1159/000519707","DOIUrl":"https://doi.org/10.1159/000519707","url":null,"abstract":"<p><p>Response to lithium varies widely between individuals with bipolar disorder (BD). Polygenic risk scores (PRSs) can uncover pharmacogenomics effects and may help predict drug response. Patients (<i>N</i> = 2,510) with BD were assessed for long-term lithium response in the Consortium on Lithium Genetics using the Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder score. PRSs for attention-deficit/hyperactivity disorder (ADHD), major depressive disorder (MDD), and schizophrenia (SCZ) were computed using <i>lassosum</i> and in a model including all three PRSs and other covariates, and the PRS of ADHD (β = -0.14; 95% confidence interval [CI]: -0.24 to -0.03; <i>p</i> value = 0.010) and MDD (β = -0.16; 95% CI: -0.27 to -0.04; <i>p</i> value = 0.005) predicted worse quantitative lithium response. A higher SCZ PRS was associated with higher rates of medication nonadherence (OR = 1.61; 95% CI: 1.34-1.93; <i>p</i> value = 2e-7). This study indicates that genetic risk for ADHD and depression may influence lithium treatment response. Interestingly, a higher SCZ PRS was associated with poor adherence, which can negatively impact treatment response. Incorporating genetic risk of ADHD, depression, and SCZ in combination with clinical risk may lead to better clinical care for patients with BD.</p>","PeriodicalId":72654,"journal":{"name":"Complex psychiatry","volume":" ","pages":"80-89"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740189/pdf/cxp-0007-0080.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40699284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}