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Asgel Z, Kouakou MR, Koller D, Pathak GA, Cabrera-Mendoza B, Polimanti R. Unraveling COVID-19 relationship with anxiety disorders and symptoms using genome-wide data. J Affect Disord 2024; 352:333-341. [PMID: 38382819 PMCID: PMC10939738 DOI: 10.1016/j.jad.2024.02.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND There is still a limited understanding of the dynamics contributing to the comorbidity of COVID-19 and anxiety outcomes. METHODS To dissect the pleiotropic mechanisms contributing to COVID-19/anxiety comorbidity, we used genome-wide data from UK Biobank (up to 420,531 participants), FinnGen Project (up to 329,077 participants), Million Veteran Program (175,163 participants), and COVID-19 Host Genetics Initiative (up to 122,616 cases and 2,475,240 controls). Specifically, we assessed global and local genetic correlation and genetically inferred effects linking COVID-19 outcomes (infection, hospitalization, and severe respiratory symptoms) to anxiety disorders and symptoms. RESULTS We observed a strong genetic correlation of anxiety disorder with COVID-19 positive status (rg = 0.35, p = 2×10-4) and COVID-19 hospitalization (rg = 0.31, p = 7.2×10-4). Among anxiety symptoms, "Tense, sore, or aching muscles during worst period of anxiety" was genetically correlated with COVID-19 positive status (rg = 0.33, p = 0.001), while "Frequent trouble falling or staying asleep during worst period of anxiety" was genetically correlated with COVID-19 hospitalization (rg = 0.24, p = 0.004). Through a latent causal variable analysis, we observed that COVID-19 outcomes have statistically significant genetic causality proportion (gcp) on anxiety symptoms (e.g., COVID-19 positive status→"Recent easy annoyance or irritability" │gcp│ = 0.18, p = 6.72×10-17). Conversely, anxiety disorders appear to have a possible causal effect on COVID-19 (│gcp│ = 0.38, p = 3.17×10-9). Additionally, we also identified multiple loci with evidence of local genetic correlation between anxiety and COVID-19. These appear to be related to genetic effects shared with lung function, brain morphology, alcohol and tobacco use, and hematologic parameters. CONCLUSIONS This study provided insights into the pleiotropic mechanisms linking COVID-19 and anxiety outcomes, suggesting differences between dynamics related to anxiety disorders and those related to anxiety symptoms.
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Affiliation(s)
- Zeynep Asgel
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Manuela R Kouakou
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Dora Koller
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, University of Barcelona, Catalonia, Spain
| | - Gita A Pathak
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
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2
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Bhuvaneshwar K, Gusev Y. Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review. Brief Bioinform 2024; 25:bbae098. [PMID: 38493340 PMCID: PMC10944574 DOI: 10.1093/bib/bbae098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 01/23/2024] [Accepted: 02/18/2024] [Indexed: 03/18/2024] Open
Abstract
Translational bioinformatics and data science play a crucial role in biomarker discovery as it enables translational research and helps to bridge the gap between the bench research and the bedside clinical applications. Thanks to newer and faster molecular profiling technologies and reducing costs, there are many opportunities for researchers to explore the molecular and physiological mechanisms of diseases. Biomarker discovery enables researchers to better characterize patients, enables early detection and intervention/prevention and predicts treatment responses. Due to increasing prevalence and rising treatment costs, mental health (MH) disorders have become an important venue for biomarker discovery with the goal of improved patient diagnostics, treatment and care. Exploration of underlying biological mechanisms is the key to the understanding of pathogenesis and pathophysiology of MH disorders. In an effort to better understand the underlying mechanisms of MH disorders, we reviewed the major accomplishments in the MH space from a bioinformatics and data science perspective, summarized existing knowledge derived from molecular and cellular data and described challenges and areas of opportunities in this space.
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Affiliation(s)
- Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington DC, 20007, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington DC, 20007, USA
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3
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Arcego DM, Buschdorf JP, O'Toole N, Wang Z, Barth B, Pokhvisneva I, Rayan NA, Patel S, de Mendonça Filho EJ, Lee P, Tan J, Koh MX, Sim CM, Parent C, de Lima RMS, Clappison A, O'Donnell KJ, Dalmaz C, Arloth J, Provençal N, Binder EB, Diorio J, Silveira PP, Meaney MJ. A Glucocorticoid-Sensitive Hippocampal Gene Network Moderates the Impact of Early-Life Adversity on Mental Health Outcomes. Biol Psychiatry 2024; 95:48-61. [PMID: 37406925 DOI: 10.1016/j.biopsych.2023.06.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 04/15/2023] [Accepted: 06/20/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND Early stress increases the risk for psychiatric disorders. Glucocorticoids are stress mediators that regulate transcriptional activity and morphology in the hippocampus, which is implicated in the pathophysiology of multiple psychiatric conditions. We aimed to establish the relevance of hippocampal glucocorticoid-induced transcriptional activity as a mediator of the effects of early life on later psychopathology in humans. METHODS RNA sequencing was performed with anterior and posterior hippocampal dentate gyrus from adult female macaques (n = 12/group) that were chronically treated with betamethasone (glucocorticoid receptor agonist) or vehicle. Coexpression network analysis identified a preserved gene network in the posterior hippocampal dentate gyrus that was strongly associated with glucocorticoid exposure. The single nucleotide polymorphisms in the genes in this network were used to create an expression-based polygenic score in humans. RESULTS The expression-based polygenic score significantly moderated the association between early adversity and psychotic disorders in adulthood (UK Biobank, women, n = 44,519) and on child peer relations (ALSPAC [Avon Longitudinal Study of Parents and Children], girls, n = 1666 for 9-year-olds and n = 1594 for 11-year-olds), an endophenotype for later psychosis. Analyses revealed that this network was enriched for glucocorticoid-induced epigenetic remodeling in human hippocampal cells. We also found a significant association between single nucleotide polymorphisms from the expression-based polygenic score and adult brain gray matter density. CONCLUSIONS We provide an approach for the use of transcriptomic data from animal models together with human data to study the impact of environmental influences on mental health. The results are consistent with the hypothesis that hippocampal glucocorticoid-related transcriptional activity mediates the effects of early adversity on neural mechanisms implicated in psychiatric disorders.
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Affiliation(s)
- Danusa Mar Arcego
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada.
| | - Jan-Paul Buschdorf
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Nicholas O'Toole
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Zihan Wang
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Barbara Barth
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Irina Pokhvisneva
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | | | - Sachin Patel
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | | | - Patrick Lee
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Jennifer Tan
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Ming Xuan Koh
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Chu Ming Sim
- Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore
| | - Carine Parent
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | | | - Andrew Clappison
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Kieran J O'Donnell
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Yale Child Study Center, Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Carla Dalmaz
- Department of Biochemistry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Janine Arloth
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Nadine Provençal
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada; BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Elisabeth B Binder
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Josie Diorio
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada
| | - Patrícia Pelufo Silveira
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Ludmer Centre for Neuroinformatics and Mental Health, Douglas Research Centre, McGill University, Montreal, Quebec, Canada; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Republic of Singapore
| | - Michael J Meaney
- Douglas Research Centre, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Translational Neuroscience Program, Singapore Institute for Clinical Sciences, Singapore, Republic of Singapore; Brain Body Initiative, Agency for Science, Technology and Research (A∗STAR), Singapore, Republic of Singapore; Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Republic of Singapore
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Ting BW, Wright FA, Zhou YH. Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two-stage composite likelihood. Biom J 2023; 65:e2200029. [PMID: 37212427 PMCID: PMC10524370 DOI: 10.1002/bimj.202200029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/08/2023] [Accepted: 03/13/2023] [Indexed: 05/23/2023]
Abstract
Multivariate heterogeneous responses and heteroskedasticity have attracted increasing attention in recent years. In genome-wide association studies, effective simultaneous modeling of multiple phenotypes would improve statistical power and interpretability. However, a flexible common modeling system for heterogeneous data types can pose computational difficulties. Here we build upon a previous method for multivariate probit estimation using a two-stage composite likelihood that exhibits favorable computational time while retaining attractive parameter estimation properties. We extend this approach to incorporate multivariate responses of heterogeneous data types (binary and continuous), and possible heteroskedasticity. Although the approach has wide applications, it would be particularly useful for genomics, precision medicine, or individual biomedical prediction. Using a genomics example, we explore statistical power and confirm that the approach performs well for hypothesis testing and coverage percentages under a wide variety of settings. The approach has the potential to better leverage genomics data and provide interpretable inference for pleiotropy, in which a locus is associated with multiple traits.
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Affiliation(s)
- Bryan W. Ting
- Bioinformatics Research Center, North Carolina State University, NC, USA
| | - Fred A. Wright
- Bioinformatics Research Center, North Carolina State University, NC, USA
- Department of Statistics, North Carolina State University, NC, USA
- Department of Biological Sciences, North Carolina State University, NC, USA
| | - Yi-Hui Zhou
- Bioinformatics Research Center, North Carolina State University, NC, USA
- Department of Statistics, North Carolina State University, NC, USA
- Department of Biological Sciences, North Carolina State University, NC, USA
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5
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Asgel Z, Kouakou MR, Koller D, Pathak GA, Cabrera-Mendoza B, Polimanti R. Unraveling COVID-19 Relationship with Anxiety Disorders and Symptoms. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.21.23293001. [PMID: 37503035 PMCID: PMC10371119 DOI: 10.1101/2023.07.21.23293001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Background While COVID-19 outcomes are associated with increased anxiety, individuals affected by anxiety disorders are more likely to develop severe COVID-19 outcomes. Methods We used genome-wide data from UK Biobank (up to 420,531 participants), FinnGen Project (up to 329,077 participants), Million Veteran Program (175,163 participants), and COVID-19 Host Genetics Initiative (up to 122,616 cases and 2,475,240 controls) to investigate possible causal effects and shared genetic mechanisms linking COVID-19 outcomes to anxiety disorders and symptoms. Results We observed a strong genetic correlation of anxiety disorder with COVID-19 positive status (rg=0.35, p=2 × 10 -4 ) and COVID-19 hospitalization (rg=0.31, p=7.2 × 10 -4 ). Among anxiety symptoms, "Tense, sore, or aching muscles during worst period of anxiety" was genetically correlated with COVID-19 positive status (rg=0.33, p=0.001), while "Frequent trouble falling or staying asleep during worst period of anxiety" was genetically correlated with COVID-19 hospitalization (rg=0.24, p=0.004). Through a latent causal variable analysis, we observed that COVID-19 outcomes have statistically significant genetic causality proportion (gcp) on anxiety symptoms (e.g., COVID-19 positive status→"Recent easy annoyance or irritability" │gcp│=0.18, p=6.72 × 10 -17 ). Conversely, anxiety disorders appear to have a possible causal effect on COVID-19 (│gcp│=0.38, p=3.17 × 10 -9 ). Additionally, we also identified multiple loci with evidence of local genetic correlation between anxiety and COVID-19. These appear to be related to genetic effects shared with lung function, brain morphology, alcohol and tobacco use, and hematologic parameters. Conclusions This study provided important insights into the relationship between COVID-19 and mental health, differentiating the dynamics linking anxiety disorders to COVID-19 from the effect of COVID-19 on anxiety symptoms.
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Barriers to genetic testing in clinical psychiatry and ways to overcome them: from clinicians' attitudes to sociocultural differences between patients across the globe. Transl Psychiatry 2022; 12:442. [PMID: 36220808 PMCID: PMC9553897 DOI: 10.1038/s41398-022-02203-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 11/08/2022] Open
Abstract
Genetic testing has evolved rapidly over recent years and new developments have the potential to provide insights that could improve the ability to diagnose, treat, and prevent diseases. Information obtained through genetic testing has proven useful in other specialties, such as cardiology and oncology. Nonetheless, a range of barriers impedes techniques, such as whole-exome or whole-genome sequencing, pharmacogenomics, and polygenic risk scoring, from being implemented in psychiatric practice. These barriers may be procedural (e.g., limitations in extrapolating results to the individual level), economic (e.g., perceived relatively elevated costs precluding insurance coverage), or related to clinicians' knowledge, attitudes, and practices (e.g., perceived unfavorable cost-effectiveness, insufficient understanding of probability statistics, and concerns regarding genetic counseling). Additionally, several ethical concerns may arise (e.g., increased stigma and discrimination through exclusion from health insurance). Here, we provide an overview of potential barriers for the implementation of genetic testing in psychiatry, as well as an in-depth discussion of strategies to address these challenges.
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7
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Rajendran R, Menon KN, Nair SC. Nanotechnology Approaches for Enhanced CNS Drug Delivery in the Management of Schizophrenia. Adv Pharm Bull 2021; 12:490-508. [PMID: 35935056 PMCID: PMC9348538 DOI: 10.34172/apb.2022.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 06/02/2021] [Accepted: 09/27/2021] [Indexed: 11/09/2022] Open
Abstract
Schizophrenia is a neuropsychiatric disorder mainly affecting the central nervous system, presented with auditory and visual hallucinations, delusion and withdrawal from society. Abnormal dopamine levels mainly characterise the disease; various theories of neurotransmitters explain the pathophysiology of the disease. The current therapeutic approach deals with the systemic administration of drugs other than the enteral route, altering the neurotransmitter levels within the brain and providing symptomatic relief. Fluid biomarkers help in the early detection of the disease, which would improve the therapeutic efficacy. However, the major challenge faced in CNS drug delivery is the blood-brain barrier. Nanotherapeutic approaches may overcome these limitations, which will improve safety, efficacy, and targeted drug delivery. This review article addresses the main challenges faced in CNS drug delivery and the significance of current therapeutic strategies and nanotherapeutic approaches for a better understanding and enhanced drug delivery to the brain, which improve the quality of life of schizophrenia patients.
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Affiliation(s)
| | - Krishnakumar Neelakandha Menon
- Amrita Centre for Nanosciences and Molecular Medicine, Amrita Institute of Medical Science and Research Centre, Amrita Vishwa Vidyapeetham, Kochi-682041, Kerala, India
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8
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Moreno-De-Luca D, Martin CL. All for one and one for all: heterogeneity of genetic etiologies in neurodevelopmental psychiatric disorders. Curr Opin Genet Dev 2021; 68:71-78. [PMID: 33773394 DOI: 10.1016/j.gde.2021.02.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 02/19/2021] [Accepted: 02/26/2021] [Indexed: 12/27/2022]
Abstract
Alexandre Dumas' famous phrase All for One and One for All recapitulates our current understanding of the genomic architecture of neurodevelopmental psychiatric disorders (NPD), like autism Spectrum disorder, bipolar disorder, and schizophrenia. Many rare genomic variants of large effect size have been identified; all of them together can explain a significant proportion of NPD. In parallel, one rare genomic variant can cause all of the above NPD. Finally, common genomic variants of individually small effect size can be combined to further explain risk for NPD. How do we reconcile different genomic variants accounting for one clinical diagnosis, and different clinical diagnoses arising from a single genomic variant? Here, we discuss a framework to understand genetic and clinical heterogeneity in NPD.
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Affiliation(s)
- Daniel Moreno-De-Luca
- Genomic Psychiatry Consultation Service, Verrecchia Clinic for Children with Autism and Developmental Disabilities, Bradley Hospital, Providence, RI, United States; Division of Child and Adolescent Psychiatry, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, United States.
| | - Christa Lese Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States; Genomic Medicine Institute, Geisinger, Danville, PA, United States.
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9
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Balan S, Ohnishi T, Watanabe A, Ohba H, Iwayama Y, Toyoshima M, Hara T, Hisano Y, Miyasaka Y, Toyota T, Shimamoto-Mitsuyama C, Maekawa M, Numata S, Ohmori T, Shimogori T, Kikkawa Y, Hayashi T, Yoshikawa T. Role of an Atypical Cadherin Gene, Cdh23 in Prepulse Inhibition, and Implication of CDH23 in Schizophrenia. Schizophr Bull 2021; 47:1190-1200. [PMID: 33595068 PMCID: PMC8266601 DOI: 10.1093/schbul/sbab007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
We previously identified quantitative trait loci (QTL) for prepulse inhibition (PPI), an endophenotype of schizophrenia, on mouse chromosome 10 and reported Fabp7 as a candidate gene from an analysis of F2 mice from inbred strains with high (C57BL/6N; B6) and low (C3H/HeN; C3H) PPI levels. Here, we reanalyzed the previously reported QTLs with increased marker density. The highest logarithm of odds score (26.66) peaked at a synonymous coding and splice-site variant, c.753G>A (rs257098870), in the Cdh23 gene on chromosome 10; the c.753G (C3H) allele showed a PPI-lowering effect. Bayesian multiple QTL mapping also supported the same variant with a posterior probability of 1. Thus, we engineered the c.753G (C3H) allele into the B6 genetic background, which led to dampened PPI. We also revealed an e-QTL (expression QTL) effect imparted by the c.753G>A variant for the Cdh23 expression in the brain. In a human study, a homologous variant (c.753G>A; rs769896655) in CDH23 showed a nominally significant enrichment in individuals with schizophrenia. We also identified multiple potentially deleterious CDH23 variants in individuals with schizophrenia. Collectively, the present study reveals a PPI-regulating Cdh23 variant and a possible contribution of CDH23 to schizophrenia susceptibility.
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Affiliation(s)
- Shabeesh Balan
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan,Neuroscience Research Laboratory, Institute of Mental Health and Neurosciences (IMHANS), Kozhikode, Kerala, India
| | - Tetsuo Ohnishi
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Akiko Watanabe
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Hisako Ohba
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Yoshimi Iwayama
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Manabu Toyoshima
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Tomonori Hara
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan,Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yasuko Hisano
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Yuki Miyasaka
- Deafness Project, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, Japan,Division of Experimental Animals, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Tomoko Toyota
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | | | - Motoko Maekawa
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan,Department of Biological Science, Graduate School of Humanities and Science, Ochanomizu University, Tokyo, Japan
| | - Shusuke Numata
- Department of Psychiatry, Institute of Biomedical Science, Tokushima University Graduate School, Tokushima, Japan
| | - Tetsuro Ohmori
- Department of Psychiatry, Institute of Biomedical Science, Tokushima University Graduate School, Tokushima, Japan
| | - Tomomi Shimogori
- Laboratory for Molecular Mechanisms of Brain Development, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Yoshiaki Kikkawa
- Deafness Project, Tokyo Metropolitan Institute of Medical Science, Setagaya, Tokyo, Japan
| | - Takeshi Hayashi
- Agricultural Artificial Intelligence (AI) Research Office, Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization (NARO), Tokyo, Japan
| | - Takeo Yoshikawa
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wako, Saitama, Japan,To whom correspondence should be addressed; 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; tel: +81-48-467-5968, fax: +81-48-467-7462, e-mail:
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10
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Huang ST, Düren Y, Hellton KH, Lederer J. Tuning parameter calibration for personalized prediction in medicine. Electron J Stat 2021. [DOI: 10.1214/21-ejs1884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Shih-Ting Huang
- Ruhr-University Bochum Universitätsstraße 150 44801 Bochum Germany
| | - Yannick Düren
- Ruhr-University Bochum Universitätsstraße 150 44801 Bochum Germany
| | - Kristoffer H. Hellton
- Norwegian Computing Center P.O. Box 114 Blindern 0314 Oslo Norway www.nr.no/~hellton
| | - Johannes Lederer
- Ruhr-University Bochum Universitätsstraße 150 44801 Bochum Germany www.johanneslederer.com
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11
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Polygenic risk scores for genetic counseling in psychiatry: Lessons learned from other fields of medicine. Neurosci Biobehav Rev 2020; 121:119-127. [PMID: 33301779 DOI: 10.1016/j.neubiorev.2020.11.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 11/17/2020] [Accepted: 11/27/2020] [Indexed: 12/16/2022]
Abstract
Polygenic risk scores (PRS) may aid in the identification of individuals at-risk for psychiatric disorders, treatment optimization, and increase in prognostic accuracy. PRS may also add significant value to genetic counseling. Thus far, integration of PRSs in genetic counseling sessions remains problematic because of uncertainties in risk prediction and other concerns. Here, we review the current utility of PRSs in the context of clinical psychiatry. By comprehensively appraising the literature in other fields of medicine including breast cancer, Alzheimer's Disease, and cardiovascular disease, we outline several lessons learned that could be applied to future studies and may thus benefit the incorporation of PRS in psychiatric genetic counseling. These include integrating PRS with environmental factors (e.g. lifestyle), setting up large-scale studies, and applying reproducible methods allowing for cross-validation between cohorts. We conclude that psychiatry may benefit from experiences in these fields. PRS may in future have a role in genetic counseling in clinical psychiatric practice, by advancing prevention strategies and treatment decision-making, thus promoting quality of life for (potentially) affected individuals.
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12
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Levchenko A, Nurgaliev T, Kanapin A, Samsonova A, Gainetdinov RR. Current challenges and possible future developments in personalized psychiatry with an emphasis on psychotic disorders. Heliyon 2020; 6:e03990. [PMID: 32462093 PMCID: PMC7240336 DOI: 10.1016/j.heliyon.2020.e03990] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2019] [Revised: 10/31/2019] [Accepted: 05/12/2020] [Indexed: 12/13/2022] Open
Abstract
A personalized medicine approach seems to be particularly applicable to psychiatry. Indeed, considering mental illness as deregulation, unique to each patient, of molecular pathways, governing the development and functioning of the brain, seems to be the most justified way to understand and treat disorders of this medical category. In order to extract correct information about the implicated molecular pathways, data can be drawn from sampling phenotypic and genetic biomarkers and then analyzed by a machine learning algorithm. This review describes current difficulties in the field of personalized psychiatry and gives several examples of possibly actionable biomarkers of psychotic and other psychiatric disorders, including several examples of genetic studies relevant to personalized psychiatry. Most of these biomarkers are not yet ready to be introduced in clinical practice. In a next step, a perspective on the path personalized psychiatry may take in the future is given, paying particular attention to machine learning algorithms that can be used with the goal of handling multidimensional datasets.
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Affiliation(s)
- Anastasia Levchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Timur Nurgaliev
- Institute of Translational Biomedicine, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Alexander Kanapin
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Anastasia Samsonova
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
| | - Raul R. Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
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13
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Azad AK, Lloyd C, Sadee W, Schlesinger LS. Challenges of Immune Response Diversity in the Human Population Concerning New Tuberculosis Diagnostics, Therapies, and Vaccines. Front Cell Infect Microbiol 2020; 10:139. [PMID: 32322562 PMCID: PMC7156588 DOI: 10.3389/fcimb.2020.00139] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 03/17/2020] [Indexed: 11/13/2022] Open
Abstract
Universal approaches to the prevention and treatment of human diseases fail to take into account profound immune diversity resulting from genetic variations across populations. Personalized or precision medicine takes into account individual lifestyle, environment, and biology (genetics and immune status) and is being adopted in several disease intervention strategies such as cancer and heart disease. However, its application in infectious diseases, particularly global diseases such as tuberculosis (TB), is far more complex and in a state of infancy. Here, we discuss the impact of human genetic variations on immune responses and how they relate to failures seen in current TB diagnostic, therapy, and vaccine approaches across populations. We offer our perspective on the challenges and potential for more refined approaches going forward.
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Affiliation(s)
- Abul K Azad
- Host-Pathogen Interaction Program, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Christopher Lloyd
- Host-Pathogen Interaction Program, Texas Biomedical Research Institute, San Antonio, TX, United States
| | - Wolfgang Sadee
- Department of Cancer Biology and Genetics, Center for Pharmacogenomics, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Larry S Schlesinger
- Host-Pathogen Interaction Program, Texas Biomedical Research Institute, San Antonio, TX, United States
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14
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Shimamoto-Mitsuyama C, Ohnishi T, Balan S, Ohba H, Watanabe A, Maekawa M, Hisano Y, Iwayama Y, Owada Y, Yoshikawa T. Evaluation of the role of fatty acid-binding protein 7 in controlling schizophrenia-relevant phenotypes using newly established knockout mice. Schizophr Res 2020; 217:52-59. [PMID: 30765249 DOI: 10.1016/j.schres.2019.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 02/01/2019] [Accepted: 02/04/2019] [Indexed: 01/20/2023]
Abstract
Dampened prepulse inhibition (PPI) is a consistent observation in psychiatric disorders, including schizophrenia and qualifies as a robust endophenotype for genetic evaluation. Using high PPI C57BL/6NCrlCrlj (B6Nj) and low PPI C3H/HeNCrlCrlj (C3HNj) inbred mouse strains, we have previously reported a quantitative trait locus (QTL) for PPI at chromosome 10 and identified Fabp7 as a candidate gene for regulating PPI and schizophrenia pathogenesis using Fabp7-deficient mice (B6.Cg-Fabp7 KO). Here, considering a possibility of carryover of residual genetic materials from embryonic stem (ES) cells used in generating knockout (KO) mice, we set out to re-address the genotype-phenotype correlation in a uniform genetic background. By generating a new Fabp7 KO mouse model in C57BL/6NCrl (B6N) background using the CRISPR-Cas9 nickase system, we evaluated the impact of Fabp7 ablation on schizophrenia-related behavioral phenotypes. To our surprise, we found no significant differences in PPI or any of the schizophrenia-related behavioral scores, as observed in our previous B6.Cg-Fabp7 KO mice. We identified several C3H/He mouse strain-specific alleles within the interval of chromosome 10-QTL, which are shared with 129/Sv mouse strains. These alleles, derived from 129/Sv ES cells, were retained in the B6.Cg-Fabp7 KO, despite multiple backcrossing and are thought to be responsible for the dampened PPI. In summary, our study demonstrates a precise genotype-phenotype relation for Fabp7 loss-of-function in a uniform B6N background, and raises the necessity of further analysis of the effects of genomic variants flanking the Fabp7 interval on phenotypes.
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Affiliation(s)
| | - Tetsuo Ohnishi
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Shabeesh Balan
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Hisako Ohba
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Akiko Watanabe
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Motoko Maekawa
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Yasuko Hisano
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Yoshimi Iwayama
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan
| | - Yuji Owada
- Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Takeo Yoshikawa
- Laboratory for Molecular Psychiatry, RIKEN Center for Brain Science, Wakoshi, Saitama, Japan.
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15
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Nieto SJ, Grodin EN, Ray LA. On the path towards personalized medicine: Implications of pharmacogenetic studies of alcohol use disorder medications. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2020; 5:43-54. [PMID: 34291172 DOI: 10.1080/23808993.2020.1724510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Introduction The heritability of alcohol use disorder (AUD) is estimated to be ~50%; however, the genetic basis of the disease is still poorly understood. The genetic variants identified thus far only explain a small percentage of AUD phenotypic variability. While genome-wide association studies (GWAS) are impacted by technical and methodological limitations, genetic variants that have been identified independently of GWAS findings can moderate the efficacy of AUD medications. Areas Covered This review discusses findings from clinical pharmacogenetic studies of AUD medications. While the pharmacogenetic studies reviewed involve several genetic variants in the major neurotransmitter systems, genetic loci in the opioid system have garnered the most attention. Expert Opinion The clinical utility of pharmacogenetics in AUD populations is uncertain at this time. There are several ongoing prospective clinical trials that will enhance knowledge regarding the applicability of pharmacogenetics in clinical populations. We recommend that future work in this area consider reverse translating from genotype to phenotype, mapping genes to stages of the addiction cycle, mapping genes to neural circuits, and harnessing large population-based cohorts.
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Affiliation(s)
- Steven J Nieto
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Erica N Grodin
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Lara A Ray
- University of California Los Angeles, Department of Psychology, Los Angeles, CA, USA.,University of California, Los Angeles, Department of Psychiatry and Biobehavioral Sciences, Los Angeles, CA, USA.,University of California Los Angeles, Brain Research Institute, Los Angeles, CA, USA
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16
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Sanders SJ, Sahin M, Hostyk J, Thurm A, Jacquemont S, Avillach P, Douard E, Martin CL, Modi ME, Moreno-De-Luca A, Raznahan A, Anticevic A, Dolmetsch R, Feng G, Geschwind DH, Glahn DC, Goldstein DB, Ledbetter DH, Mulle JG, Pasca SP, Samaco R, Sebat J, Pariser A, Lehner T, Gur RE, Bearden CE. A framework for the investigation of rare genetic disorders in neuropsychiatry. Nat Med 2019; 25:1477-1487. [PMID: 31548702 PMCID: PMC8656349 DOI: 10.1038/s41591-019-0581-5] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 07/31/2019] [Indexed: 02/07/2023]
Abstract
De novo and inherited rare genetic disorders (RGDs) are a major cause of human morbidity, frequently involving neuropsychiatric symptoms. Recent advances in genomic technologies and data sharing have revolutionized the identification and diagnosis of RGDs, presenting an opportunity to elucidate the mechanisms underlying neuropsychiatric disorders by investigating the pathophysiology of high-penetrance genetic risk factors. Here we seek out the best path forward for achieving these goals. We think future research will require consistent approaches across multiple RGDs and developmental stages, involving both the characterization of shared neuropsychiatric dimensions in humans and the identification of neurobiological commonalities in model systems. A coordinated and concerted effort across patients, families, researchers, clinicians and institutions, including rapid and broad sharing of data, is now needed to translate these discoveries into urgently needed therapies.
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Affiliation(s)
- Stephan J Sanders
- Department of Psychiatry, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Mustafa Sahin
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joseph Hostyk
- Institute for Genomic Medicine, Columbia University Medical Center, Hammer Health Sciences, New York, NY, USA
| | - Audrey Thurm
- National Institute of Mental Health, Bethesda, MD, USA
| | - Sebastien Jacquemont
- CHU Sainte-Justine Research Centre, University of Montreal, Montreal, Quebec, Canada
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Elise Douard
- CHU Sainte-Justine Research Centre, University of Montreal, Montreal, Quebec, Canada
| | - Christa L Martin
- Geisinger Autism & Developmental Medicine Institute, Danville, PA, USA
| | - Meera E Modi
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | | | - Alan Anticevic
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Ricardo Dolmetsch
- Department of Neuroscience, Novartis Institutes for BioMedical Research, Cambridge, MA, USA
| | - Guoping Feng
- McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel H Geschwind
- Center for Autism Research and Treatment, Semel Institute for Neuroscience and Human Behavior and Departments of Neurology and Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, MA, USA
| | - David B Goldstein
- Institute for Genomic Medicine, Columbia University Medical Center, Hammer Health Sciences, New York, NY, USA
| | - David H Ledbetter
- Geisinger Autism & Developmental Medicine Institute, Danville, PA, USA
| | - Jennifer G Mulle
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Sergiu P Pasca
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA
| | - Rodney Samaco
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Jonathan Sebat
- Beyster Center for Genomics of Psychiatric Diseases, University of California, San Diego, La Jolla, CA, USA
| | - Anne Pariser
- National Center for Advancing Translational Sciences, Bethesda, MD, USA
| | - Thomas Lehner
- National Institute of Mental Health, Bethesda, MD, USA
| | - Raquel E Gur
- Department of Psychiatry, Neuropsychiatry Section, and the Lifespan Brain Institute, Perelman School of Medicine and Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
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17
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Kostick K, Pereira S, Brannan C, Torgerson L, Lázaro-Muñoz G. Psychiatric genomics researchers' perspectives on best practices for returning results to individual participants. Genet Med 2019; 22:345-352. [PMID: 31477844 PMCID: PMC7000323 DOI: 10.1038/s41436-019-0642-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 08/13/2019] [Indexed: 12/26/2022] Open
Abstract
Purpose Large-scale array-based and sequencing studies have advanced our understanding of the genetic architecture of psychiatric disorders, but also increased the potential to generate an exponentially larger amount of clinically relevant findings. As genomic testing becomes more widespread in psychiatry research, urgency grows to establish best practices for offering return of results (RoR) to individuals at risk or diagnosed with a psychiatric disorder. Methods We interviewed an international sample (n = 39) of psychiatric genetics researchers to examine conceptualizations of “best practices” for RoR to individual research participants. Results While the vast majority of researchers do not offer RoR, most believed medically actionable findings (85%) and clinically valid but non–medically actionable findings (54%) should be offered. Researchers identified three main areas for improvement: interfacing with individual participants; interdisciplinary training, guidance, and integration; and quality planning and resource allocation for returning results. Conclusion There are significant gaps between researchers’ visions for “best” versus “actual” RoR practices. While researchers call for participant-centered practices, including consent practices that consider any special needs of participants with psychiatric disorders, return of individually meaningful results, and effective follow-up and provisions for treatment, the current reality is that consent and RoR practices lack standardized and evidence-based norms.
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Affiliation(s)
- Kristin Kostick
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Stacey Pereira
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Cody Brannan
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Laura Torgerson
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA
| | - Gabriel Lázaro-Muñoz
- Center for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA.
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18
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Andrade A, Brennecke A, Mallat S, Brown J, Gomez-Rivadeneira J, Czepiel N, Londrigan L. Genetic Associations between Voltage-Gated Calcium Channels and Psychiatric Disorders. Int J Mol Sci 2019; 20:E3537. [PMID: 31331039 PMCID: PMC6679227 DOI: 10.3390/ijms20143537] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/12/2019] [Accepted: 07/13/2019] [Indexed: 12/23/2022] Open
Abstract
Psychiatric disorders are mental, behavioral or emotional disorders. These conditions are prevalent, one in four adults suffer from any type of psychiatric disorders world-wide. It has always been observed that psychiatric disorders have a genetic component, however, new methods to sequence full genomes of large cohorts have identified with high precision genetic risk loci for these conditions. Psychiatric disorders include, but are not limited to, bipolar disorder, schizophrenia, autism spectrum disorder, anxiety disorders, major depressive disorder, and attention-deficit and hyperactivity disorder. Several risk loci for psychiatric disorders fall within genes that encode for voltage-gated calcium channels (CaVs). Calcium entering through CaVs is crucial for multiple neuronal processes. In this review, we will summarize recent findings that link CaVs and their auxiliary subunits to psychiatric disorders. First, we will provide a general overview of CaVs structure, classification, function, expression and pharmacology. Next, we will summarize tools to study risk loci associated with psychiatric disorders. We will examine functional studies of risk variations in CaV genes when available. Finally, we will review pharmacological evidence of the use of CaV modulators to treat psychiatric disorders. Our review will be of interest for those studying pathophysiological aspects of CaVs.
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Affiliation(s)
- Arturo Andrade
- Department of Biological Sciences, University of New Hampshire, Durham, NH 03824, USA.
| | - Ashton Brennecke
- Department of Biological Sciences, University of New Hampshire, Durham, NH 03824, USA
| | - Shayna Mallat
- Department of Biological Sciences, University of New Hampshire, Durham, NH 03824, USA
| | - Julian Brown
- Department of Biological Sciences, University of New Hampshire, Durham, NH 03824, USA
| | | | - Natalie Czepiel
- Department of Biological Sciences, University of New Hampshire, Durham, NH 03824, USA
| | - Laura Londrigan
- Department of Biological Sciences, University of New Hampshire, Durham, NH 03824, USA
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19
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DeSocio JE. Reprint of "Epigenetics, maternal prenatal psychosocial stress, and infant mental health". Arch Psychiatr Nurs 2019; 33:232-237. [PMID: 31227075 DOI: 10.1016/j.apnu.2019.05.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 09/07/2018] [Indexed: 12/16/2022]
Abstract
This paper provides a summary of literature on epigenetic effects and infant health outcomes of maternal psychosocial stress during pregnancy. A search of literature yielded a large body of publications between 2008 and 2018. Relevant articles were selected, and additional sources were located from ancestry searches of reference lists. Results implicate maternal prenatal stress as a source of epigenetic mechanisms that affect fetal brain development and program risk for emotional dysregulation and mental disorders over a lifetime and across generations. Implications for nursing practice are explored at multiple levels of policy advocacy, public education, primary prevention, screening and intervention.
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20
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Hoehe MR, Morris-Rosendahl DJ. The role of genetics and genomics in clinical psychiatry. DIALOGUES IN CLINICAL NEUROSCIENCE 2019. [PMID: 30581286 PMCID: PMC6296395 DOI: 10.31887/dcns.2018.20.3/mhoehe] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The enormous successes in the genetics and genomics of many diseases have provided the basis for the advancement of precision medicine. Thus, the detection of genetic variants associated with neuropsychiatric disorders, as well as treatment outcome, has raised growing expectations that these findings could soon be translated into the clinic to improve diagnosis, the prediction of disease risk and individual response to drug therapy. In this article, we will provide an introduction to the search for genes involved in psychiatric illness and summarize the present findings in major psychiatric disorders. We will review the genetic variants in genes encoding drug metabolizing enzymes and specific drug targets which were found to be associated with variable drug response and severe side effects. We will evaluate the clinical translatability of these findings, whether there is currently any role for genetic testing and in this context, make valuable sources of information available to the clinician seeking guidance and advice in this rapidly developing field of psychiatric genetics.
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Affiliation(s)
- Margret R Hoehe
- Max-Planck Institute for Molecular Genetics, Berlin, Germany
| | - Deborah J Morris-Rosendahl
- Clinical Genetics and Genomics, Royal Brompton and Harefield NHS Foundation Trust, London, UK, NHLI, Imperial College London, UK
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21
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Wirz-Justice A, Benedetti F. Perspectives in affective disorders: Clocks and sleep. Eur J Neurosci 2019; 51:346-365. [PMID: 30702783 DOI: 10.1111/ejn.14362] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 12/30/2018] [Accepted: 01/22/2019] [Indexed: 12/17/2022]
Abstract
Mood disorders are often characterised by alterations in circadian rhythms, sleep disturbances and seasonal exacerbation. Conversely, chronobiological treatments utilise zeitgebers for circadian rhythms such as light to improve mood and stabilise sleep, and manipulations of sleep timing and duration as rapid antidepressant modalities. Although sleep deprivation ("wake therapy") can act within hours, and its mood-elevating effects be maintained by regular morning light administration/medication/earlier sleep, it has not entered the regular guidelines for treating affective disorders as a first-line treatment. The hindrances to using chronotherapeutics may lie in their lack of patentability, few sponsors to carry out large multi-centre trials, non-reimbursement by medical insurance and their perceived difficulty or exotic "alternative" nature. Future use can be promoted by new technology (single-sample phase measurements, phone apps, movement and sleep trackers) that provides ambulatory documentation over long periods and feedback to therapist and patient. Light combinations with cognitive behavioural therapy and sleep hygiene practice may speed up and also maintain response. The urgent need for new antidepressants should hopefully lead to reconsideration and implementation of these non-pharmacological methods, as well as further clinical trials. We review the putative neurochemical mechanisms underlying the antidepressant effect of sleep deprivation and light therapy, and current knowledge linking clocks and sleep with affective disorders: neurotransmitter switching, stress and cortico-limbic reactivity, clock genes, cortical neuroplasticity, connectomics and neuroinflammation. Despite the complexity of multi-system mechanisms, more insight will lead to fine tuning and better application of circadian and sleep-related treatments of depression.
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Affiliation(s)
- Anna Wirz-Justice
- Centre for Chronobiology, Transfaculty Research Platform Molecular and Cognitive Neurosciences, Psychiatric Hospital of the University of Basel, Basel, Switzerland
| | - Francesco Benedetti
- University Vita-Salute San Raffaele, Milano, Italy.,Psychiatry & Clinical Psychobiology, Division of Neuroscience, San Raffaele Scientific Institute, Milano, Italy
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22
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Machine Learning and Feature Selection for the Classification of Mental Disorders from Methylation Data. Artif Intell Med 2019. [DOI: 10.1007/978-3-030-21642-9_40] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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23
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Zhou Y, Lutz P, Ibrahim EC, Courtet P, Tzavara E, Turecki G, Belzeaux R. Suicide and suicide behaviors: A review of transcriptomics and multiomics studies in psychiatric disorders. J Neurosci Res 2018; 98:601-615. [DOI: 10.1002/jnr.24367] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 11/23/2018] [Accepted: 11/26/2018] [Indexed: 12/11/2022]
Affiliation(s)
- Yi Zhou
- McGill Group for Suicide Studies Douglas Mental Health University Institute, McGill University Montréal Canada
| | - Pierre‐Eric Lutz
- Centre National de la Recherche Scientifique Institut des Neurosciences Cellulaires et Intégratives, CNRS UPR 3212 Strasbourg France
| | - El Chérif Ibrahim
- Institut de Neurosciences de la Timone ‐ UMR7289,CNRS Aix‐Marseille Université Marseille France
- Fondamental, Fondation de Recherche et de Soins en Santé Mentale Créteil France
| | - Philippe Courtet
- Fondamental, Fondation de Recherche et de Soins en Santé Mentale Créteil France
- CHRU Montpellier, University of Montpellier, INSERM unit 1061 Montpellier France
| | - Eleni Tzavara
- Fondamental, Fondation de Recherche et de Soins en Santé Mentale Créteil France
- INSERM, UMRS 1130, CNRS, UMR 8246, Sorbonne University UPMC, Neuroscience Paris‐Seine Paris France
| | - Gustavo Turecki
- McGill Group for Suicide Studies Douglas Mental Health University Institute, McGill University Montréal Canada
| | - Raoul Belzeaux
- Institut de Neurosciences de la Timone ‐ UMR7289,CNRS Aix‐Marseille Université Marseille France
- Fondamental, Fondation de Recherche et de Soins en Santé Mentale Créteil France
- AP‐HM, Pôle de Psychiatrie Marseille France
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24
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DeSocio JE. Epigenetics, maternal prenatal psychosocial stress, and infant mental health. Arch Psychiatr Nurs 2018; 32:901-906. [PMID: 30454636 DOI: 10.1016/j.apnu.2018.09.001] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 09/07/2018] [Indexed: 02/06/2023]
Abstract
This paper provides a summary of literature on epigenetic effects and infant health outcomes of maternal psychosocial stress during pregnancy. A search of literature yielded a large body of publications between 2008 and 2018. Relevant articles were selected, and additional sources were located from ancestry searches of reference lists. Results implicate maternal prenatal stress as a source of epigenetic mechanisms that affect fetal brain development and program risk for emotional dysregulation and mental disorders over a lifetime and across generations. Implications for nursing practice are explored at multiple levels of policy advocacy, public education, primary prevention, screening and intervention.
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25
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Whittington J, Holland A. A review of psychiatric conceptions of mental and behavioural disorders in Prader-Willi syndrome. Neurosci Biobehav Rev 2018; 95:396-405. [DOI: 10.1016/j.neubiorev.2018.10.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 12/21/2022]
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26
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Zubenko GS, Sommer BR, Cohen BM. On the Marketing and Use of Pharmacogenetic Tests for Psychiatric Treatment. JAMA Psychiatry 2018; 75:769-770. [PMID: 29799933 DOI: 10.1001/jamapsychiatry.2018.0834] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- George S Zubenko
- Distinguished Life Fellow, American Psychiatric Association, Washington, DC
| | - Barbara R Sommer
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Bruce M Cohen
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,Program for Neuropsychiatric Research, McLean Hospital, Belmont, Massachusetts
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27
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Levchenko A, Losenkov IS, Vyalova NM, Simutkin GG, Bokhan NA, Wilffert B, Loonen AJ, Ivanova SA. The functional variant rs334558 of GSK3B is associated with remission in patients with depressive disorders. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2018; 11:121-126. [PMID: 30050316 PMCID: PMC6055890 DOI: 10.2147/pgpm.s171423] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Purpose GSK3B and AKT1 genes have been implicated in the pathogenesis of a number of psychiatric and neurological disorders. Furthermore, their genetic variants are associated with response to antidepressant pharmacotherapy. As the evidence is still incomplete and inconsistent, continuing efforts to investigate the role of these two genes in the pathogenesis and treatment of brain disorders is necessary. The aim of our study was thus to evaluate the association of variants of these two genes with depressive disorders and drug treatment response. Patients and methods In the present study, 222 patients with a depressive disorder who underwent pharmacological antidepressant treatment were divided into remitters and non-remitters following a 28-day course of pharmacotherapy. The association of a depressive disorder and remission rates with polymorphisms rs334558 in the GSK3B gene and rs1130214 and rs3730358 in the AKT1 gene was evaluated with a chi-square test. Results Neither of the studied genetic variants was associated with a depressive disorder. Furthermore, frequencies of alleles and genotypes for rs1130214 and rs3730358 were not different in the groups of remitters and non-remitters. However, the activating allele T of the functional polymorphism rs334558 was significantly associated with remission, when all types of antidepressant drugs were included. This association continued as a trend when only patients taking selective serotonin reuptake inhibitors were considered. Conclusion The present study provides support that the functional polymorphism rs334558 of GSK3B may play a role as a useful genetic and pharmacogenetic biomarker in the framework of personalized medicine approach.
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Affiliation(s)
- Anastasia Levchenko
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia,
| | - Innokentiy S Losenkov
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Natalia M Vyalova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - German G Simutkin
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia
| | - Nikolay A Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Department of Psychotherapy and Psychological Counseling, National Research Tomsk State University, Tomsk, Russia
| | - Bob Wilffert
- Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands.,University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Anton Jm Loonen
- Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands.,GGZ Westelijk Noord-Brabant, Bergen op Zoom, the Netherlands
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russia.,Division for Control and Diagnostics, School of Non-Destructive Testing & Security, National Research Tomsk Polytechnic University, Tomsk, Russia
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28
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Balasopoulou A, Mooy FM, Baker DJ, Mitropoulou C, Skoufas E, Bulgiba A, Katsila T, Patrinos GP. Advancing Global Precision Medicine: An Overview of Genomic Testing and Counseling Services in Malaysia. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2017; 21:733-740. [PMID: 29173101 DOI: 10.1089/omi.2017.0136] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Precision medicine, genomic and diagnostic services are no longer limited to developed countries. This broadening in geography of biomarker applications and omics diagnostics also demands empirical study of implementation, diagnostic testing, and counseling practices in the field. For example, the Malaysian population has large ethnic diversity and high prevalence of genetic disorders such as hemoglobinopathies and metabolic disorders. Increased morbidity and mortality from such diseases have a direct impact on society and health system sustainability and for this, decision-making becomes of outmost importance. We report here on our findings on the landscape of genomic testing and genetic counseling services in Malaysia. We first defined the framework of all Malaysian stakeholders that offer genomics services and next, we identified the related information gaps, as depicted through the service providers' online websites. Our research framework revealed that there is a very diverse spectrum of genomics services in Malaysia, in which wet- and dry-laboratory services integrate. Moreover, we identify the current gaps and possible remedies to improve the quality of genomic and predictive analytics, not to mention considerations to ensure robust ethics and responsible innovation. To our knowledge, this is the first such study to be performed for a Southeast Asian country. Our genomics and precision medicine services mapping strategy presented in this study may serve as a model for field assessment at regional, national, and international levels as precision medicine is expanding globally and new governance challenges and opportunities continue to emerge for smart implementation science.
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Affiliation(s)
- Angeliki Balasopoulou
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | - Foong-Ming Mooy
- 2 Department of Social and Preventive Medicine, Faculty of Medicine, Julius Centre University of Malaya , Kuala Lumpur, Malaysia
| | | | | | - Efthymios Skoufas
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | - Awang Bulgiba
- 2 Department of Social and Preventive Medicine, Faculty of Medicine, Julius Centre University of Malaya , Kuala Lumpur, Malaysia
| | - Theodora Katsila
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | - George P Patrinos
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece .,4 Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University , Al Ain, United Arab Emirates .,5 Zayed Bin Sultan Center for Health Sciences, United Arab Emirates University , Al Ain, United Arab Emirates
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