1
|
Daneshfar N, Falahi S, Gorgin Karaji A, Rezaiemanesh A, Mortazavi SHR, Akbari B, Eivazi A, Salari F. Association of Single Nucleotide Polymorphisms (SNPs) of Chemoattractant Receptor23 (ChemR23) Gene with Susceptibility to Allergic Rhinitis. Biochem Genet 2024; 62:2587-2605. [PMID: 37993706 DOI: 10.1007/s10528-023-10561-z] [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: 06/16/2023] [Accepted: 10/23/2023] [Indexed: 11/24/2023]
Abstract
The chemoattractant Receptor23 (ChemR23) plays an essential role in triggering and resolving acute inflammation. This study aimed to evaluate the association between four potentially functional SNPs of the chemR23 gene (rs4373981 G > C, rs73201532 C > T, rs35121177 G > A, and rs4964676 G > A) with susceptibility to Allergic rhinitis (AR). 130 patients with allergic rhinitis and 130 healthy individuals were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Our findings showed that genotypes and alleles frequencies were not significantly different between patient and control groups (p > 0.05). Furthermore, haplotype analysis (rs4373981, rs73201532, and rs4964676, respectively) revealed a protective effect of CTG, GTA, and GTG haplotypes against AR (p = 0.009, p = 0.0001, p = 0.001, respectively), and CCG, GCA, and GCG haplotypes of ChemR23 polymorphisms were associated with increased risk of AR (p = 0.03, p = 0.02, p = 0.0002, respectively). These findings suggested a possible role for ChemR23 in the pathogenesis of AR.
Collapse
Affiliation(s)
- Niloofar Daneshfar
- School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sara Falahi
- School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ali Gorgin Karaji
- Department of Immunology, School of Medicine, Kermanshah University of Medical Sciences, PO-Box: 6714869914, Kermanshah, Iran
| | - Alireza Rezaiemanesh
- Department of Immunology, School of Medicine, Kermanshah University of Medical Sciences, PO-Box: 6714869914, Kermanshah, Iran
| | - Seyed Hamid Reza Mortazavi
- Department of Pediatrics, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Bahman Akbari
- Department of Biotechnology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Atefeh Eivazi
- School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Farhad Salari
- Department of Immunology, School of Medicine, Kermanshah University of Medical Sciences, PO-Box: 6714869914, Kermanshah, Iran.
| |
Collapse
|
2
|
Chen S, Tang D, Deng L, Xu S. Asian-European differentiation of schizophrenia-associated genes driven by admixture and natural selection. iScience 2024; 27:109560. [PMID: 38638564 PMCID: PMC11024917 DOI: 10.1016/j.isci.2024.109560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/29/2023] [Accepted: 03/22/2024] [Indexed: 04/20/2024] Open
Abstract
The European-centered genome-wide association studies of schizophrenia (SCZ) may not be well applied to non-European populations. We analyzed 1,592 reported SCZ-associated genes using the public genome data and found an overall higher Asian-European differentiation on the SCZ-associated variants than at the genome-wide level. Notable examples included 15 missense variants, a regulatory variant SLC5A10-rs1624825, and a damaging variant TSPAN18-rs1001292. Independent local adaptations in recent 25,000 years, after the Asian-European divergence, could have contributed to such genetic differentiation, as were identified at a missense mutation LTN1-rs57646126-A in Asians, and a non-risk allele ZSWIM6-rs72761442-G in Europeans. Altai-Neanderthal-derived alleles may have opposite effects on SCZ susceptibility between ancestries. Furthermore, adaptive introgression was detected on the non-risk haplotype at 1q21.2 in Europeans, while in Asians it was observed on the SCZ risk haplotype at 3p21.31 which is also potentially ultra-violet protective. This study emphasizes the importance of including more representative Asian samples in future SCZ studies.
Collapse
Affiliation(s)
- Sihan Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Die Tang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Lian Deng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Shuhua Xu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Center for Evolutionary Biology, School of Life Sciences, Department of Liver Surgery and Transplantation Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200438, China
| |
Collapse
|
3
|
Chen X, Liu Y, Cue J, Nimgaonkar MHV, Weinberger D, Han S, Zhao Z, Chen J. Classification of Schizophrenia, Bipolar Disorder and Major Depressive Disorder with Comorbid Traits and Deep Learning Algorithms. RESEARCH SQUARE 2024:rs.3.rs-4001384. [PMID: 38496574 PMCID: PMC10942564 DOI: 10.21203/rs.3.rs-4001384/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Recent GWASs have demonstrated that comorbid disorders share genetic liabilities. But whether and how these shared liabilities can be used for the classification and differentiation of comorbid disorders remains unclear. In this study, we use polygenic risk scores (PRSs) estimated from 42 comorbid traits and the deep neural networks (DNN) architecture to classify and differentiate schizophrenia (SCZ), bipolar disorder (BIP) and major depressive disorder (MDD). Multiple PRSs were obtained for individuals from the schizophrenia (SCZ) (cases = 6,317, controls = 7,240), bipolar disorder (BIP) (cases = 2,634, controls 4,425) and major depressive disorder (MDD) (cases = 1,704, controls = 3,357) datasets, and classification models were constructed with and without the inclusion of PRSs of the target (SCZ, BIP or MDD). Models with the inclusion of target PRSs performed well as expected. Surprisingly, we found that SCZ could be classified with only the PRSs from 35 comorbid traits (not including the target SCZ and directly related traits) (accuracy 0.760 ± 0.007, AUC 0.843 ± 0.005). Similar results were obtained for BIP (33 traits, accuracy 0.768 ± 0.007, AUC 0.848 ± 0.009), and MDD (36 traits, accuracy 0.794 ± 0.010, AUC 0.869 ± 0.004). Furthermore, these PRSs from comorbid traits alone could effectively differentiate unaffected controls, SCZ, BIP, and MDD patients (average categorical accuracy 0.861 ± 0.003, average AUC 0.961 ± 0.041). These results suggest that the shared liabilities from comorbid traits alone may be sufficient to classify SCZ, BIP and MDD. More importantly, these results imply that a data-driven and objective diagnosis and differentiation of SCZ, BIP and MDD may be feasible.
Collapse
Affiliation(s)
- Xiangning Chen
- The university of Texas Health Science Center at Houston
| | - Yimei Liu
- Director and CEO, Lieber Institute for Brain Development, Johns Hopkins School of Medicine: Departments of Psychiatry, Neurology, Neuroscience and Genetic Medicine
| | - Joan Cue
- Director and CEO, Lieber Institute for Brain Development, Johns Hopkins School of Medicine: Departments of Psychiatry, Neurology, Neuroscience and Genetic Medicine
| | - Mira Han Vishwajit Nimgaonkar
- Director and CEO, Lieber Institute for Brain Development, Johns Hopkins School of Medicine: Departments of Psychiatry, Neurology, Neuroscience and Genetic Medicine
| | - Daniel Weinberger
- Director and CEO, Lieber Institute for Brain Development, Johns Hopkins School of Medicine: Departments of Psychiatry, Neurology, Neuroscience and Genetic Medicine
| | - Shizhong Han
- Lieber Institute for Brain Development; Johns Hopkins School of Medicine Department of Psychiatry and Behavioral Sciences
| | | | | |
Collapse
|
4
|
Tang M, Wu X, Zhang W, Cui H, Zhang L, Yan P, Yang C, Wang Y, Chen L, Xiao C, Liu Y, Zou Y, Yang C, Zhang L, Yao Y, Liu Z, Li J, Jiang X, Zhang B. Epidemiological and Genetic Analyses of Schizophrenia and Breast Cancer. Schizophr Bull 2024; 50:317-326. [PMID: 37467357 PMCID: PMC10919785 DOI: 10.1093/schbul/sbad106] [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] [Indexed: 07/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS While the phenotypic association between schizophrenia and breast cancer has been observed, the underlying intrinsic link is not adequately understood. We aim to conduct a comprehensive interrogation on both phenotypic and genetic relationships between schizophrenia and breast cancer. STUDY DESIGN We first used data from UK Biobank to evaluate a phenotypic association and performed an updated meta-analysis incorporating existing cohort studies. We then leveraged genomic data to explore the shared genetic architecture through a genome-wide cross-trait design. STUDY RESULTS Incorporating results of our observational analysis, meta-analysis of cohort studies suggested a significantly increased incidence of breast cancer among women with schizophrenia (RR = 1.30, 95% CIs = 1.14-1.48). A positive genomic correlation between schizophrenia and overall breast cancer was observed (rg = 0.12, P = 1.80 × 10-10), consistent across ER+ (rg = 0.10, P = 5.74 × 10-7) and ER- subtypes (rg = 0.09, P = .003). This was further corroborated by four local signals. Cross-trait meta-analysis identified 23 pleiotropic loci between schizophrenia and breast cancer, including five novel loci. Gene-based analysis revealed 27 shared genes. Mendelian randomization demonstrated a significantly increased risk of overall breast cancer (OR = 1.07, P = 4.81 × 10-10) for genetically predisposed schizophrenia, which remained robust in subgroup analysis (ER+: OR = 1.10, P = 7.26 × 10-12; ER-: OR = 1.08, P = 3.50 × 10-6). No mediation effect and reverse causality was found. CONCLUSIONS Our study demonstrates an intrinsic link underlying schizophrenia and breast cancer, which may inform tailored screening and management of breast cancer in schizophrenia.
Collapse
Affiliation(s)
- Mingshuang Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wenqiang Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huijie Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Peijing Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chao Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yunjie Liu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanqiu Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, College of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
5
|
Lori A, Pearce BD, Katrinli S, Carter S, Gillespie CF, Bradley B, Wingo AP, Jovanovic T, Michopoulos V, Duncan E, Hinrichs RC, Smith A, Ressler KJ. Genetic risk for hospitalization of African American patients with severe mental illness reveals HLA loci. Front Psychiatry 2024; 15:1140376. [PMID: 38469033 PMCID: PMC10925622 DOI: 10.3389/fpsyt.2024.1140376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 02/07/2024] [Indexed: 03/13/2024] Open
Abstract
Background Mood disorders such as major depressive and bipolar disorders, along with posttraumatic stress disorder (PTSD), schizophrenia (SCZ), and other psychotic disorders, constitute serious mental illnesses (SMI) and often lead to inpatient psychiatric care for adults. Risk factors associated with increased hospitalization rate in SMI (H-SMI) are largely unknown but likely involve a combination of genetic, environmental, and socio-behavioral factors. We performed a genome-wide association study in an African American cohort to identify possible genes associated with hospitalization due to SMI (H-SMI). Methods Patients hospitalized for psychiatric disorders (H-SMI; n=690) were compared with demographically matched controls (n=4467). Quality control and imputation of genome-wide data were performed following the Psychiatric Genetic Consortium (PGC)-PTSD guidelines. Imputation of the Human Leukocyte Antigen (HLA) locus was performed using the HIBAG package. Results Genome-wide association analysis revealed a genome-wide significant association at 6p22.1 locus in the ubiquitin D (UBD/FAT10) gene (rs362514, p=9.43x10-9) and around the HLA locus. Heritability of H-SMI (14.6%) was comparable to other psychiatric disorders (4% to 45%). We observed a nominally significant association with 2 HLA alleles: HLA-A*23:01 (OR=1.04, p=2.3x10-3) and HLA-C*06:02 (OR=1.04, p=1.5x10-3). Two other genes (VSP13D and TSPAN9), possibly associated with immune response, were found to be associated with H-SMI using gene-based analyses. Conclusion We observed a strong association between H-SMI and a locus that has been consistently and strongly associated with SCZ in multiple studies (6p21.32-p22.1), possibly indicating an involvement of the immune system and the immune response in the development of severe transdiagnostic SMI.
Collapse
Affiliation(s)
- Adriana Lori
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Department of Population Science, American Cancer Society, Atlanta, GA, United States
| | - Brad D. Pearce
- Department of Epidemiology, Rollins School of Public Health, Atlanta, GA, United States
| | - Seyma Katrinli
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, United States
| | - Sierra Carter
- Department of Psychology, Georgia State University, Atlanta, GA, United States
| | - Charles F. Gillespie
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
| | - Bekh Bradley
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
| | - Aliza P. Wingo
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Mental Health Service Line, Department of Veterans Affairs Health Care System, Decatur, GA, United States
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University, Detroit, MI, United States
| | - Vasiliki Michopoulos
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
| | - Erica Duncan
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Mental Health Service Line, Department of Veterans Affairs Health Care System, Decatur, GA, United States
| | - Rebecca C. Hinrichs
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
| | - Alicia Smith
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, United States
| | - Kerry J. Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States
- Department of Psychiatry, Harvard Medical School and McLean Hospital, Belmont, MA, United States
| |
Collapse
|
6
|
Rusu A, Chevalier C, de Chaumont F, Nalesso V, Brault V, Hérault Y, Ey E. Day-to-day spontaneous social behaviours is quantitatively and qualitatively affected in a 16p11.2 deletion mouse model. Front Behav Neurosci 2023; 17:1294558. [PMID: 38173978 PMCID: PMC10763239 DOI: 10.3389/fnbeh.2023.1294558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
Background Autism spectrum disorders affect more than 1% of the population, impairing social communication and increasing stereotyped behaviours. A micro-deletion of the 16p11.2 BP4-BP5 chromosomic region has been identified in 1% of patients also displaying intellectual disabilities. In mouse models generated to understand the mechanisms of this deletion, learning and memory deficits were pervasive in most genetic backgrounds, while social communication deficits were only detected in some models. Methods To complement previous studies, we itemized the social deficits in the mouse model of 16p11.2 deletion on a hybrid C57BL/6N × C3H.Pde6b+ genetic background. We examined whether behavioural deficits were visible over long-term observation periods lasting several days and nights, to parallel everyday-life assessment of patients. We recorded the individual and social behaviours of mice carrying a heterozygous deletion of the homologous 16p11.2 chromosomic region (hereafter Del/+) and their wild-type littermates from both sexes over two or three consecutive nights during social interactions of familiar mixed-genotype quartets of males and of females, and of same-genotype unfamiliar female pairs. Results We observed that Del/+ mice of both sexes increased significantly their locomotor activity compared to wild-type littermates. In the social domain, Del/+ mice of both sexes displayed widespread deficits, even more so in males than in females in quartets of familiar individuals. In pairs, significant perturbations of the organisation of the social communication and behaviours appeared in Del/+ females. Discussion Altogether, this suggests that, over long recording periods, the phenotype of the 16p11.2 Del/+ mice was differently affected in the locomotor activity and the social domains and between the two sexes. These findings confirm the importance of testing models in long-term conditions to provide a comprehensive view of their phenotype that will refine the study of cellular and molecular mechanisms and complement pre-clinical targeted therapeutic trials.
Collapse
Affiliation(s)
- Anna Rusu
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire‑UMR 7104-UMR-S 1258, Illkirch, France
| | - Claire Chevalier
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire‑UMR 7104-UMR-S 1258, Illkirch, France
| | - Fabrice de Chaumont
- Génétique Humaine et Fonctions Cognitives, Institut Pasteur, Université de Paris Cité, Paris, France
| | - Valérie Nalesso
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire‑UMR 7104-UMR-S 1258, Illkirch, France
| | - Véronique Brault
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire‑UMR 7104-UMR-S 1258, Illkirch, France
| | - Yann Hérault
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire‑UMR 7104-UMR-S 1258, Illkirch, France
- Génétique Humaine et Fonctions Cognitives, Institut Pasteur, Université de Paris Cité, Paris, France
| | - Elodie Ey
- Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire‑UMR 7104-UMR-S 1258, Illkirch, France
| |
Collapse
|
7
|
Mollon J, Schultz LM, Huguet G, Knowles EEM, Mathias SR, Rodrigue A, Alexander-Bloch A, Saci Z, Jean-Louis M, Kumar K, Douard E, Almasy L, Jacquemont S, Glahn DC. Impact of Copy Number Variants and Polygenic Risk Scores on Psychopathology in the UK Biobank. Biol Psychiatry 2023; 94:591-600. [PMID: 36764568 PMCID: PMC10409883 DOI: 10.1016/j.biopsych.2023.01.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Our understanding of the impact of copy number variants (CNVs) on psychopathology and their joint influence with polygenic risk scores (PRSs) remains limited. METHODS The UK Biobank recruited 502,534 individuals ages 37 to 73 years living in the United Kingdom between 2006 and 2010. After quality control, genotype data from 459,855 individuals were available for CNV calling. A total of 61 commonly studied recurrent neuropsychiatric CNVs were selected for analyses and examined individually and in aggregate (any CNV, deletion, or duplication). CNV risk scores were used to quantify intolerance of CNVs to haploinsufficiency. Major depressive disorder and generalized anxiety disorder PRSs were generated for White British individuals (N = 408,870). Mood/anxiety factor scores were generated using item-level questionnaire data (N = 501,289). RESULTS CNV carriers showed higher mood/anxiety scores than noncarriers, with the largest effects seen for intolerant deletions. A total of 11 individual deletions and 8 duplications were associated with higher mood/anxiety. Carriers of the 9p24.3 (DMRT1) duplication showed lower mood/anxiety. Associations remained significant for most CNVs when excluding individuals with psychiatric diagnoses. Nominally significant CNV × PRS interactions provided preliminary evidence that associations between select individual CNVs, but not CNVs in aggregate, and mood/anxiety may be modulated by PRSs. CONCLUSIONS CNVs associated with risk for psychiatric disorders showed small to large effects on dimensional mood/anxiety scores in a general population cohort, even when excluding individuals with psychiatric diagnoses. CNV × PRS interactions showed that associations between select CNVs and mood/anxiety may be modulated by PRSs.
Collapse
Affiliation(s)
- Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
| | - Laura M Schultz
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Guillaume Huguet
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Emma E M Knowles
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Samuel R Mathias
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amanda Rodrigue
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Aaron Alexander-Bloch
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Neurodevelopment and Psychosis Section, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zohra Saci
- Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Martineau Jean-Louis
- Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Kuldeep Kumar
- Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Elise Douard
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - Laura Almasy
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Genetics, Perelman School of Medicine, Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sebastien Jacquemont
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Department of Pediatrics, Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, Quebec, Canada
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut
| |
Collapse
|
8
|
Mizrahi L, Choudhary A, Ofer P, Goldberg G, Milanesi E, Kelsoe JR, Gurwitz D, Alda M, Gage FH, Stern S. Immunoglobulin genes expressed in lymphoblastoid cell lines discern and predict lithium response in bipolar disorder patients. Mol Psychiatry 2023; 28:4280-4293. [PMID: 37488168 PMCID: PMC10827667 DOI: 10.1038/s41380-023-02183-z] [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: 09/13/2022] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023]
Abstract
Bipolar disorder (BD) is a neuropsychiatric mood disorder manifested by recurrent episodes of mania and depression. More than half of BD patients are non-responsive to lithium, the first-line treatment drug, complicating BD clinical management. Given its unknown etiology, it is pertinent to understand the genetic signatures that lead to variability in lithium response. We discovered a set of differentially expressed genes (DEGs) from the lymphoblastoid cell lines (LCLs) of 10 controls and 19 BD patients belonging mainly to the immunoglobulin gene family that can be used as potential biomarkers to diagnose and treat BD. Importantly, we trained machine learning algorithms on our datasets that predicted the lithium response of BD subtypes with minimal errors, even when used on a different cohort of 24 BD patients acquired by a different laboratory. This proves the scalability of our methodology for predicting lithium response in BD and for a prompt and suitable decision on therapeutic interventions.
Collapse
Affiliation(s)
- Liron Mizrahi
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, 3498838, Israel
| | - Ashwani Choudhary
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, 3498838, Israel
| | - Polina Ofer
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, 3498838, Israel
| | - Gabriela Goldberg
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Elena Milanesi
- Victor Babes National Institute of Pathology, Bucharest, 050096, Romania
| | - John R Kelsoe
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, 92093, USA
| | - David Gurwitz
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University, Tel Aviv, 69978, Israel
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, B3H 2E2, Canada
| | - Fred H Gage
- Laboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA, 92037, USA
| | - Shani Stern
- Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, Haifa, 3498838, Israel.
| |
Collapse
|
9
|
Monet MC, Quan N. Complex Neuroimmune Involvement in Neurodevelopment: A Mini-Review. J Inflamm Res 2023; 16:2979-2991. [PMID: 37489149 PMCID: PMC10363380 DOI: 10.2147/jir.s410562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 07/11/2023] [Indexed: 07/26/2023] Open
Abstract
It is increasingly evident that cells and molecules of the immune system play significant roles in neurodevelopment. As perinatal infection is associated with the development of neurodevelopmental disorders, previous research has focused on demonstrating that the induction of neuroinflammation in the developing brain is capable of causing neuropathology and behavioral changes. Recent studies, however, have revealed that immune cells and molecules in the brain can influence neurodevelopment without the induction of overt inflammation, identifying neuroimmune activities as integral parts of normal neurodevelopment. This mini-review describes the shift in literature that has moved from emphasizing the intrusion of inflammatory events as a main culprit of neurodevelopmental disorders to evaluating the deviation of the normal neuroimmune activities in neurodevelopment as a potential pathogenic mechanism.
Collapse
Affiliation(s)
- Marianne C Monet
- Stiles-Nicholson Brain Institute, Florida Atlantic University, Jupiter, FL, USA
| | - Ning Quan
- Department of Biomedical Science, Charles E. Schmidt College of Medicine, Jupiter, FL, USA
| |
Collapse
|
10
|
Zhan N, Sham PC, So HC, Lui SSY. The genetic basis of onset age in schizophrenia: evidence and models. Front Genet 2023; 14:1163361. [PMID: 37441552 PMCID: PMC10333597 DOI: 10.3389/fgene.2023.1163361] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/16/2023] [Indexed: 07/15/2023] Open
Abstract
Schizophrenia is a heritable neurocognitive disorder affecting about 1% of the population, and usually has an onset age at around 21-25 in males and 25-30 in females. Recent advances in genetics have helped to identify many common and rare variants for the liability to schizophrenia. Earlier evidence appeared to suggest that younger onset age is associated with higher genetic liability to schizophrenia. Clinical longitudinal research also found that early and very-early onset schizophrenia are associated with poor clinical, neurocognitive, and functional profiles. A recent study reported a heritability of 0.33 for schizophrenia onset age, but the genetic basis of this trait in schizophrenia remains elusive. In the pre-Genome-Wide Association Study (GWAS) era, genetic loci found to be associated with onset age were seldom replicated. In the post-Genome-Wide Association Study era, new conceptual frameworks are needed to clarify the role of onset age in genetic research in schizophrenia, and to identify its genetic basis. In this review, we first discussed the potential of onset age as a characterizing/subtyping feature for psychosis, and as an important phenotypic dimension of schizophrenia. Second, we reviewed the methods, samples, findings and limitations of previous genetic research on onset age in schizophrenia. Third, we discussed a potential conceptual framework for studying the genetic basis of onset age, as well as the concepts of susceptibility, modifier, and "mixed" genes. Fourth, we discussed the limitations of this review. Lastly, we discussed the potential clinical implications for genetic research of onset age of schizophrenia, and how future research can unveil the potential mechanisms for this trait.
Collapse
Affiliation(s)
- Na Zhan
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Pak C. Sham
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Centre of PanorOmic Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Kunming Institute of Zoology and the Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- CUHK Shenzhen Research Institute, Shenzhen, China
- Margaret K. L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Brain and Mind Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- Hong Kong Branch of the Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Simon S. Y. Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| |
Collapse
|
11
|
van den Oord EJCG, Xie LY, Zhao M, Campbell TL, Turecki G, Kähler AK, Dean B, Mors O, Hultman CM, Staunstrup NH, Aberg KA. Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples. Mol Psychiatry 2023; 28:2088-2094. [PMID: 37106120 DOI: 10.1038/s41380-023-02080-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023]
Abstract
Schizophrenia is a disabling disorder involving genetic predisposition in combination with environmental influences that likely act via dynamic alterations of the epigenome and the transcriptome but its detailed pathophysiology is largely unknown. We performed cell-type specific methylome-wide association study of neonatal blood (N = 333) from individuals who later in life developed schizophrenia and controls. Suggestively significant associations (P < 1.0 × 10-6) were detected in all cell-types and in whole blood with methylome-wide significant associations in monocytes (P = 2.85 × 10-9-4.87 × 10-9), natural killer cells (P = 1.72 × 10-9-7.82 × 10-9) and B cells (P = 3.8 × 10-9). Validation of methylation findings in post-mortem brains (N = 596) from independent schizophrenia cases and controls showed significant enrichment of transcriptional differences (enrichment ratio = 1.98-3.23, P = 2.3 × 10-3-1.0 × 10-5), with specific highly significant differential expression for, for example, BDNF (t = -6.11, P = 1.90 × 10-9). In addition, expression difference in brain significantly predicted schizophrenia (multiple correlation = 0.15-0.22, P = 3.6 × 10-4-4.5 × 10-8). In summary, using a unique design combining pre-disease onset (neonatal) blood methylomic data and post-disease onset (post-mortem) brain transcriptional data, we have identified genes of likely functional relevance that are associated with schizophrenia susceptibility, rather than confounding disease associated artifacts. The identified loci may be of clinical value as a methylation-based biomarker for early detection of increased schizophrenia susceptibility.
Collapse
Affiliation(s)
- Edwin J C G van den Oord
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Lin Y Xie
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Min Zhao
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Thomas L Campbell
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA
| | - Gustavo Turecki
- Douglas Mental Health University Institute and McGill University, Montréal, Québec, Canada
| | - Anna K Kähler
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brian Dean
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Ole Mors
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Risskov, Denmark
- Center for Genomics and Personalized Medicine, University of Aarhus, Aarhus, Denmark
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nicklas H Staunstrup
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Genomics and Personalized Medicine, University of Aarhus, Aarhus, Denmark
- Department of Biomedicine, University of Aarhus, Aarhus C, Denmark
| | - Karolina A Aberg
- Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
| |
Collapse
|
12
|
Abdolmaleky HM, Martin M, Zhou JR, Thiagalingam S. Epigenetic Alterations of Brain Non-Neuronal Cells in Major Mental Diseases. Genes (Basel) 2023; 14:896. [PMID: 37107654 PMCID: PMC10137903 DOI: 10.3390/genes14040896] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/22/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
The tissue-specific expression and epigenetic dysregulation of many genes in cells derived from the postmortem brains of patients have been reported to provide a fundamental biological framework for major mental diseases such as autism, schizophrenia, bipolar disorder, and major depression. However, until recently, the impact of non-neuronal brain cells, which arises due to cell-type-specific alterations, has not been adequately scrutinized; this is because of the absence of techniques that directly evaluate their functionality. With the emergence of single-cell technologies, such as RNA sequencing (RNA-seq) and other novel techniques, various studies have now started to uncover the cell-type-specific expression and DNA methylation regulation of many genes (e.g., TREM2, MECP2, SLC1A2, TGFB2, NTRK2, S100B, KCNJ10, and HMGB1, and several complement genes such as C1q, C3, C3R, and C4) in the non-neuronal brain cells involved in the pathogenesis of mental diseases. Additionally, several lines of experimental evidence indicate that inflammation and inflammation-induced oxidative stress, as well as many insidious/latent infectious elements including the gut microbiome, alter the expression status and the epigenetic landscapes of brain non-neuronal cells. Here, we present supporting evidence highlighting the importance of the contribution of the brain's non-neuronal cells (in particular, microglia and different types of astrocytes) in the pathogenesis of mental diseases. Furthermore, we also address the potential impacts of the gut microbiome in the dysfunction of enteric and brain glia, as well as astrocytes, which, in turn, may affect neuronal functions in mental disorders. Finally, we present evidence that supports that microbiota transplantations from the affected individuals or mice provoke the corresponding disease-like behavior in the recipient mice, while specific bacterial species may have beneficial effects.
Collapse
Affiliation(s)
- Hamid Mostafavi Abdolmaleky
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Marian Martin
- Department of Neurology, Albert Einstein College of Medicine, New York, NY 10461, USA
| | - Jin-Rong Zhou
- Department of Surgery, Nutrition/Metabolism Laboratory, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Sam Thiagalingam
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA;
- Department of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA
| |
Collapse
|
13
|
Hara T, Owada Y, Takata A. Genetics of bipolar disorder: insights into its complex architecture and biology from common and rare variants. J Hum Genet 2023; 68:183-191. [PMID: 35614313 DOI: 10.1038/s10038-022-01046-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 11/09/2022]
Abstract
Bipolar disorder (BD) is a common mental disorder characterized by recurrent mood episodes, which causes major socioeconomic burdens globally. Though its disease pathogenesis is largely unknown, the high heritability of BD indicates strong contributions from genetic factors. In this review, we summarize the recent achievements in the genetics of BD, particularly those from genome-wide association study (GWAS) of common variants and next-generation sequencing analysis of rare variants. These include the identification of dozens of robust disease-associated loci, deepening of our understanding of the biology of BD, objective description of correlations with other psychiatric disorders and behavioral traits, formulation of methods for predicting disease risk and drug response, and the discovery of a single gene associated with bipolar disorder and schizophrenia spectrum with a large effect size. On the other hand, the findings to date have not yet made a clear contribution to the improvement of clinical psychiatry of BD. We overview the remaining challenges as well as possible paths to resolve them, referring to studies of other major neuropsychiatric disorders.
Collapse
Affiliation(s)
- Tomonori Hara
- Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan.,Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Yuji Owada
- Department of Organ Anatomy, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Atsushi Takata
- Molecular Pathology of Psychiatric Disorders, RIKEN Center for Brain Science, Wako, Saitama, 351-0198, Japan.
| |
Collapse
|
14
|
Sokolov AV, Manu DM, Nordberg DOT, Boström ADE, Jokinen J, Schiöth HB. Methylation in MAD1L1 is associated with the severity of suicide attempt and phenotypes of depression. Clin Epigenetics 2023; 15:1. [PMID: 36600305 PMCID: PMC9811786 DOI: 10.1186/s13148-022-01394-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/30/2022] [Indexed: 01/05/2023] Open
Abstract
Depression is a multifactorial disorder representing a significant public health burden. Previous studies have linked multiple single nucleotide polymorphisms with depressive phenotypes and suicidal behavior. MAD1L1 is a mitosis metaphase checkpoint protein that has been linked to depression in GWAS. Using a longitudinal EWAS approach in an adolescent cohort at two time points (n = 216 and n = 154), we identified differentially methylated sites that were associated with depression-related genetic variants in MAD1L1. Three methylation loci (cg02825527, cg18302629, and cg19624444) were consistently hypomethylated in the minor allele carriers, being cross-dependent on several SNPs. We further investigated whether DNA methylation at these CpGs is associated with depressive psychiatric phenotypes in independent cohorts. The first site (cg02825527) was hypomethylated in blood (exp(β) = 84.521, p value ~ 0.003) in participants with severe suicide attempts (n = 88). The same locus showed increased methylation in glial cells (exp(β) = 0.041, p value ~ 0.004) in the validation cohort, involving 29 depressed patients and 29 controls, and showed a trend for association with suicide (n = 40, p value ~ 0.089) and trend for association with depression treatment (n = 377, p value ~ 0.075). The second CpG (cg18302629) was significantly hypomethylated in depressed participants (exp(β) = 56.374, p value ~ 0.023) in glial cells, but did not show associations in the discovery cohorts. The last methylation site (cg19624444) was hypomethylated in the whole blood of severe suicide attempters; however, this association was at the borderline for statistical significance (p value ~ 0.061). This locus, however, showed a strong association with depression treatment in the validation cohort (exp(β) = 2.237, p value ~ 0.003) with 377 participants. The direction of associations between psychiatric phenotypes appeared to be different in the whole blood in comparison with brain samples for cg02825527 and cg19624444. The association analysis between methylation at cg18302629 and cg19624444 and MAD1L1 transcript levels in CD14+ cells shows a potential link between methylation at these CpGs and MAD1L1 expression. This study suggests evidence that methylation at MAD1L1 is important for psychiatric health as supported by several independent cohorts.
Collapse
Affiliation(s)
- Aleksandr V. Sokolov
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Diana-Maria Manu
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Didi O. T. Nordberg
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| | - Adrian D. E. Boström
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences/Psychiatry, Umeå University, Umeå, Sweden ,grid.4714.60000 0004 1937 0626Department of Women’s and Children’s Health/Neuropediatrics, Karolinska Institutet, Stockholm, Sweden
| | - Jussi Jokinen
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences/Psychiatry, Umeå University, Umeå, Sweden ,grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Helgi B. Schiöth
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden
| |
Collapse
|
15
|
Howes OD, Shatalina E. Integrating the Neurodevelopmental and Dopamine Hypotheses of Schizophrenia and the Role of Cortical Excitation-Inhibition Balance. Biol Psychiatry 2022; 92:501-513. [PMID: 36008036 DOI: 10.1016/j.biopsych.2022.06.017] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 05/16/2022] [Accepted: 06/04/2022] [Indexed: 12/23/2022]
Abstract
The neurodevelopmental and dopamine hypotheses are leading theories of the pathoetiology of schizophrenia, but they were developed in isolation. However, since they were originally proposed, there have been considerable advances in our understanding of the normal neurodevelopmental refinement of synapses and cortical excitation-inhibition (E/I) balance, as well as preclinical findings on the interrelationship between cortical and subcortical systems and new in vivo imaging and induced pluripotent stem cell evidence for lower synaptic density markers in patients with schizophrenia. Genetic advances show that schizophrenia is associated with variants linked to genes affecting GABA (gamma-aminobutyric acid) and glutamatergic signaling as well as neurodevelopmental processes. Moreover, in vivo studies on the effects of stress, particularly during later development, show that it leads to synaptic elimination. We review these lines of evidence as well as in vivo evidence for altered cortical E/I balance and dopaminergic dysfunction in schizophrenia. We discuss mechanisms through which frontal cortex circuitry may regulate striatal dopamine and consider how frontal E/I imbalance may cause dopaminergic dysregulation to result in psychotic symptoms. This integrated neurodevelopmental and dopamine hypothesis suggests that overpruning of synapses, potentially including glutamatergic inputs onto frontal cortical interneurons, disrupts the E/I balance and thus underlies cognitive and negative symptoms. It could also lead to disinhibition of excitatory projections from the frontal cortex and possibly other regions that regulate mesostriatal dopamine neurons, resulting in dopamine dysregulation and psychotic symptoms. Together, this explains a number of aspects of the epidemiology and clinical presentation of schizophrenia and identifies new targets for treatment and prevention.
Collapse
Affiliation(s)
- Oliver D Howes
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, United Kingdom; Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
| | - Ekaterina Shatalina
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, United Kingdom
| |
Collapse
|
16
|
Hu Y, Shen Y, Wu X, Ba R, Xu H, Lu K, Shao Y, Sun C, Zhang Y, Miao F, Shen Y, Zhang J. Expression pattern of NLRC5 in the postnatal mouse brain. Acta Histochem 2022; 124:151939. [PMID: 35952483 DOI: 10.1016/j.acthis.2022.151939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 12/01/2022]
Abstract
Nucleotide oligomerization domain-like receptors (NLRs), belonging to a large family of pattern recognition receptors, participate in the host's first line of defense against invading pathogens. Caspase recruitment domain containing 5 (NLRC5), the largest member in the NLR family, is demonstrated to be involved in the innate immune response and inflammatory diseases far and wide. Recent studies report that NLRC5 is associated with some central nervous system (CNS) diseases. Besides, NLRC5 is a mastery regulator for the expression of MHC class I both in the immune system and the CNS, while MHC class I is expressed and exerts its function in the brain. Therefore, it is necessary to investigate the expression pattern of NLRC5 in the developing and adult CNS. In our study, postnatal brain sections of C57BL/6 J mice are analyzed for the expression of NLRC5 protein by immunofluorescence. In the postnatal stages of developing telencephalon, NLRC5 exhibits a spatial and temporal expression pattern. NLRC5 is time-specifically expressed in subfields of hippocampus and different layers of prefrontal cortex. Moreover, it is shown that NLRC5 is highly cell type specific. It can be expressed in large quantities by neurons and microglia, but rarely expressed by astrocytes. Taken together, our research is important for further understanding the biological characteristics of NLRC5 and its function in the CNS.
Collapse
Affiliation(s)
- Yue Hu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Yi Shen
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Xiaojing Wu
- Department of Critical Care Medicine, Zhongda Hospital, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
| | - Ru Ba
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Hongwei Xu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Keze Lu
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Yong Shao
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China
| | - Chen Sun
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China
| | - Ying Zhang
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China
| | - Fengqin Miao
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China
| | - Yuqing Shen
- Department of Microbiology and Immunology, Medical School, Southeast University, Nanjing, China; Department of Critical Care Medicine, Zhongda Hospital, Jiangsu Provincial Key Laboratory of Critical Care Medicine, School of Medicine, Southeast University, Nanjing, China
| | - Jianqiong Zhang
- Key Laboratory of Developmental Genes and Human Disease, Ministry of Education, Southeast University, Nanjing, China; Jiangsu Key Laboratory of Molecular and Functional Imaging, Zhongda Hospital, Medical School, Southeast University, Nanjing, China
| |
Collapse
|
17
|
Wang J, Li S, Li X, Liu J, Yang J, Li Y, Li W, Yang Y, Li J, Chen R, Li K, Huang D, Liu Y, Lv L, Li M, Xiao X, Luo XJ. Functional variant rs2270363 on 16p13.3 confers schizophrenia risk by regulating NMRAL1. Brain 2022; 145:2569-2585. [PMID: 35094059 PMCID: PMC9612800 DOI: 10.1093/brain/awac020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 11/17/2021] [Accepted: 12/20/2021] [Indexed: 12/28/2023] Open
Abstract
Recent genome-wide association studies have reported multiple schizophrenia risk loci, yet the functional variants and their roles in schizophrenia remain to be characterized. Here we identify a functional single nucleotide polymorphism (rs2270363: G>A) at the schizophrenia risk locus 16p13.3. rs2270363 lies in the E-box element of the promoter of NMRAL1 and disrupts binding of the basic helix-loop-helix leucine zipper family proteins, including USF1, MAX and MXI1. We validated the regulatory effects of rs2270363 using reporter gene assays and electrophoretic mobility shift assay. Besides, expression quantitative trait loci analysis showed that the risk allele (A) of rs2270363 was significantly associated with elevated NMRAL1 expression in the human brain. Transcription factors knockdown and CRISPR-Cas9-mediated editing further confirmed the regulatory effects of the genomic region containing rs2270363 on NMRAL1. Intriguingly, NMRAL1 was significantly downregulated in the brain of schizophrenia patients compared with healthy subjects, and knockdown of Nmral1 expression affected proliferation and differentiation of mouse neural stem cells, as well as genes and pathways associated with brain development and synaptic transmission. Of note, Nmral1 knockdown resulted in significant decrease of dendritic spine density, revealing the potential pathophysiological mechanisms of NMRAL1 in schizophrenia. Finally, we independently confirmed the association between rs2270363 and schizophrenia in the Chinese population and found that the risk allele of rs2270363 was the same in European and Chinese populations. These lines of evidence suggest that rs2270363 may confer schizophrenia risk by regulating NMRAL1, a gene whose expression dysregulation might be involved in the pathogenesis of schizophrenia by affecting neurodevelopment and synaptic plasticity.
Collapse
Affiliation(s)
- Junyang Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Shiwu Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Xiaoyan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Jiewei Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Jinfeng Yang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Yifan Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Wenqiang Li
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Jiao Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Rui Chen
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Kaiqin Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Di Huang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Yixing Liu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan 453002, China
- Henan Key Lab of Biological Psychiatry, International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang Medical University, Xinxiang, Henan 453002, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Xiong Jian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
- Zhongda Hospital, School of Life Sciences and Technology, Advanced Institute for Life and Health, Southeast University, Nanjing, Jiangsu 210096, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| |
Collapse
|
18
|
Li X, Ma S, Yan W, Wu Y, Kong H, Zhang M, Luo X, Xia J. dbBIP: a comprehensive bipolar disorder database for genetic research. Database (Oxford) 2022; 2022:baac049. [PMID: 35779245 PMCID: PMC9250320 DOI: 10.1093/database/baac049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/28/2022] [Accepted: 06/11/2022] [Indexed: 11/17/2022]
Abstract
Bipolar disorder (BIP) is one of the most common hereditary psychiatric disorders worldwide. Elucidating the genetic basis of BIP will play a pivotal role in mechanistic delineation. Genome-wide association studies (GWAS) have successfully reported multiple susceptibility loci conferring BIP risk, thus providing insight into the effects of its underlying pathobiology. However, difficulties remain in the extrication of important and biologically relevant data from genetic discoveries related to psychiatric disorders such as BIP. There is an urgent need for an integrated and comprehensive online database with unified access to genetic and multi-omics data for in-depth data mining. Here, we developed the dbBIP, a database for BIP genetic research based on published data. The dbBIP consists of several modules, i.e.: (i) single nucleotide polymorphism (SNP) module, containing large-scale GWAS genetic summary statistics and functional annotation information relevant to risk variants; (ii) gene module, containing BIP-related candidate risk genes from various sources and (iii) analysis module, providing a simple and user-friendly interface to analyze one's own data. We also conducted extensive analyses, including functional SNP annotation, integration (including summary-data-based Mendelian randomization and transcriptome-wide association studies), co-expression, gene expression, tissue expression, protein-protein interaction and brain expression quantitative trait loci analyses, thus shedding light on the genetic causes of BIP. Finally, we developed a graphical browser with powerful search tools to facilitate data navigation and access. The dbBIP provides a comprehensive resource for BIP genetic research as well as an integrated analysis platform for researchers and can be accessed online at http://dbbip.xialab.info. Database URL: http://dbbip.xialab.info.
Collapse
Affiliation(s)
- Xiaoyan Li
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China
| | - Shunshuai Ma
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China
| | - Wenhui Yan
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China
| | - Yong Wu
- Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, 93 Youyi Road, Qiaokou District, Wuhan, Hubei 430030, China
| | - Hui Kong
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China
| | - Mingshan Zhang
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China
| | - Xiongjian Luo
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang East Road, Wuhua District, Kunming, Yunnan 650223, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, 19 Qingsong Road, Panlong District, Kunming, Yunnan 650204, China
| | - Junfeng Xia
- Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China
| |
Collapse
|
19
|
Jiao R, Chen X, Boerwinkle E, Xiong M. Genome-Wide Causation Studies of Complex Diseases. J Comput Biol 2022; 29:908-931. [PMID: 35451855 DOI: 10.1089/cmb.2021.0676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Despite significant progress in dissecting the genetic architecture of complex diseases by genome-wide association studies (GWAS), the signals identified by association analysis may not have specific pathological relevance to diseases so that a large fraction of disease-causing genetic variants is still hidden. Association is used to measure dependence between two variables or two sets of variables. GWAS test association between a disease and single-nucleotide polymorphisms (SNPs) (or other genetic variants) across the genome. Association analysis may detect superficial patterns between disease and genetic variants. Association signals provide limited information on the causal mechanism of diseases. The use of association analysis as a major analytical platform for genetic studies of complex diseases is a key issue that may hamper discovery of disease mechanisms, calling into the questions the ability of GWAS to identify loci-underlying diseases. It is time to move beyond association analysis toward techniques, which enables the discovery of the underlying causal genetic structures of complex diseases. To achieve this, we propose the concept of genome-wide causation studies (GWCS) as an alternative to GWAS and develop additive noise models (ANMs) for genetic causation analysis. Type 1 error rates and power of the ANMs in testing causation are presented. We conducted GWCS of schizophrenia. Both simulation and real data analysis show that the proportion of the overlapped association and causation signals is small. Thus, we anticipate that our analysis will stimulate serious discussion of the applicability of GWAS and GWCS.
Collapse
Affiliation(s)
- Rong Jiao
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Xiangning Chen
- Department of Psychology, Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, Nevada, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Momiao Xiong
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| |
Collapse
|
20
|
Hall J, Bray NJ. Schizophrenia Genomics: Convergence on Synaptic Development, Adult Synaptic Plasticity, or Both? Biol Psychiatry 2022; 91:709-717. [PMID: 34974922 PMCID: PMC8929434 DOI: 10.1016/j.biopsych.2021.10.018] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 10/22/2021] [Accepted: 10/23/2021] [Indexed: 12/19/2022]
Abstract
Large-scale genomic studies of schizophrenia have identified hundreds of genetic loci conferring risk to the disorder. This progress offers an important route toward defining the biological basis of the condition and potentially developing new treatments. In this review, we discuss insights from recent genome-wide association study, copy number variant, and exome sequencing analyses of schizophrenia, together with functional genomics data from the pre- and postnatal brain, in relation to synaptic development and function. These data provide strong support for the view that synaptic dysfunction within glutamatergic and GABAergic (gamma-aminobutyric acidergic) neurons of the cerebral cortex, hippocampus, and other limbic structures is a central component of schizophrenia pathophysiology. Implicated genes and functional genomic data suggest that disturbances in synaptic connectivity associated with susceptibility to schizophrenia begin in utero but continue throughout development, with some alleles conferring risk to the disorder through direct effects on synaptic function in adulthood. This model implies that novel interventions for schizophrenia could include broad preventive approaches aimed at enhancing synaptic health during development as well as more targeted treatments aimed at correcting synaptic function in affected adults.
Collapse
Affiliation(s)
- Jeremy Hall
- MRC Centre for Neuropsychiatric Genetics & Genomics, Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom; Neuroscience & Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom.
| | | |
Collapse
|
21
|
Wang Z, Zhang Y, Li Q, Zou Q, Liu Q. A road map for happiness: The psychological factors related cell types in various parts of human body from single cell RNA-seq data analysis. Comput Biol Med 2022; 143:105286. [PMID: 35183972 DOI: 10.1016/j.compbiomed.2022.105286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 01/16/2022] [Accepted: 01/24/2022] [Indexed: 12/13/2022]
Abstract
Massive evidence from all sources including zoology, neurobiology and immunology has confirmed that psychological factors can raise remarkable physiological effects. Researchers have long been aware of the potential value of these effects and wanted to harness them in the development of new drugs and therapies, for which the mechanism study is a necessary prerequisite. However, most of these studies are restricted to neuroscience, or starts with blood sample and fall into the area of immunity. In this study, we choose to focus on the psychological factor of happiness, mining existing publicly available single cell RNA sequencing (scRNA-seq) data for the expression of happiness-related genes collected from various sources of literature in all types of cells in the samples, finding that the expression of these genes is not restricted within neuro-regulated cells or tissue-resident immune cells, on the opposite, cell types that are unique to tissue and organ without direct regulation from nervous system account for the majority to express the happiness-related genes. Our research is a preliminary exploration of where our body respond to our mind at cell level, and lays the foundation for more detailed mechanism research.
Collapse
Affiliation(s)
- Ziwei Wang
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology, China
| | - Ying Zhang
- Department of Anesthesiology, Hospital T.C.M Affiliated to Southwest Medical University, Luzhou, China
| | - Qun Li
- Department of Pain, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Quan Zou
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology, China; Yangtze Delta Region Institute Quzhou, University of Electronic Science and Technology of China, Quzhou, Zhejiang, China.
| | - Qing Liu
- Department of Algology, Hospital T.C.M Affiliated to Southwest Medical University, Luzhou, China.
| |
Collapse
|
22
|
Mullins N, Kang J, Campos AI, Coleman JRI, Edwards AC, Galfalvy H, Levey DF, Lori A, Shabalin A, Starnawska A, Su MH, Watson HJ, Adams M, Awasthi S, Gandal M, Hafferty JD, Hishimoto A, Kim M, Okazaki S, Otsuka I, Ripke S, Ware EB, Bergen AW, Berrettini WH, Bohus M, Brandt H, Chang X, Chen WJ, Chen HC, Crawford S, Crow S, DiBlasi E, Duriez P, Fernández-Aranda F, Fichter MM, Gallinger S, Glatt SJ, Gorwood P, Guo Y, Hakonarson H, Halmi KA, Hwu HG, Jain S, Jamain S, Jiménez-Murcia S, Johnson C, Kaplan AS, Kaye WH, Keel PK, Kennedy JL, Klump KL, Li D, Liao SC, Lieb K, Lilenfeld L, Liu CM, Magistretti PJ, Marshall CR, Mitchell JE, Monson ET, Myers RM, Pinto D, Powers A, Ramoz N, Roepke S, Rozanov V, Scherer SW, Schmahl C, Sokolowski M, Strober M, Thornton LM, Treasure J, Tsuang MT, Witt SH, Woodside DB, Yilmaz Z, Zillich L, Adolfsson R, Agartz I, Air TM, Alda M, Alfredsson L, Andreassen OA, Anjorin A, Appadurai V, Soler Artigas M, Van der Auwera S, Azevedo MH, Bass N, Bau CHD, Baune BT, Bellivier F, Berger K, Biernacka JM, Bigdeli TB, Binder EB, Boehnke M, Boks MP, Bosch R, Braff DL, Bryant R, Budde M, Byrne EM, Cahn W, Casas M, Castelao E, Cervilla JA, Chaumette B, Cichon S, Corvin A, Craddock N, Craig D, Degenhardt F, Djurovic S, Edenberg HJ, Fanous AH, Foo JC, Forstner AJ, Frye M, Fullerton JM, Gatt JM, Gejman PV, Giegling I, Grabe HJ, Green MJ, Grevet EH, Grigoroiu-Serbanescu M, Gutierrez B, Guzman-Parra J, Hamilton SP, Hamshere ML, Hartmann A, Hauser J, Heilmann-Heimbach S, Hoffmann P, Ising M, Jones I, Jones LA, Jonsson L, Kahn RS, Kelsoe JR, Kendler KS, Kloiber S, Koenen KC, Kogevinas M, Konte B, Krebs MO, Landén M, Lawrence J, Leboyer M, Lee PH, Levinson DF, Liao C, Lissowska J, Lucae S, Mayoral F, McElroy SL, McGrath P, McGuffin P, McQuillin A, Medland SE, Mehta D, Melle I, Milaneschi Y, Mitchell PB, Molina E, Morken G, Mortensen PB, Müller-Myhsok B, Nievergelt C, Nimgaonkar V, Nöthen MM, O'Donovan MC, Ophoff RA, Owen MJ, Pato C, Pato MT, Penninx BWJH, Pimm J, Pistis G, Potash JB, Power RA, Preisig M, Quested D, Ramos-Quiroga JA, Reif A, Ribasés M, Richarte V, Rietschel M, Rivera M, Roberts A, Roberts G, Rouleau GA, Rovaris DL, Rujescu D, Sánchez-Mora C, Sanders AR, Schofield PR, Schulze TG, Scott LJ, Serretti A, Shi J, Shyn SI, Sirignano L, Sklar P, Smeland OB, Smoller JW, Sonuga-Barke EJS, Spalletta G, Strauss JS, Świątkowska B, Trzaskowski M, Turecki G, Vilar-Ribó L, Vincent JB, Völzke H, Walters JTR, Shannon Weickert C, Weickert TW, Weissman MM, Williams LM, Wray NR, Zai CC, Ashley-Koch AE, Beckham JC, Hauser ER, Hauser MA, Kimbrel NA, Lindquist JH, McMahon B, Oslin DW, Qin X, Agerbo E, Børglum AD, Breen G, Erlangsen A, Esko T, Gelernter J, Hougaard DM, Kessler RC, Kranzler HR, Li QS, Martin NG, McIntosh AM, Mors O, Nordentoft M, Olsen CM, Porteous D, Ursano RJ, Wasserman D, Werge T, Whiteman DC, Bulik CM, Coon H, Demontis D, Docherty AR, Kuo PH, Lewis CM, Mann JJ, Rentería ME, Smith DJ, Stahl EA, Stein MB, Streit F, Willour V, Ruderfer DM. Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors. Biol Psychiatry 2022; 91:313-327. [PMID: 34861974 PMCID: PMC8851871 DOI: 10.1016/j.biopsych.2021.05.029] [Citation(s) in RCA: 101] [Impact Index Per Article: 50.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 05/07/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Suicide is a leading cause of death worldwide, and nonfatal suicide attempts, which occur far more frequently, are a major source of disability and social and economic burden. Both have substantial genetic etiology, which is partially shared and partially distinct from that of related psychiatric disorders. METHODS We conducted a genome-wide association study (GWAS) of 29,782 suicide attempt (SA) cases and 519,961 controls in the International Suicide Genetics Consortium (ISGC). The GWAS of SA was conditioned on psychiatric disorders using GWAS summary statistics via multitrait-based conditional and joint analysis, to remove genetic effects on SA mediated by psychiatric disorders. We investigated the shared and divergent genetic architectures of SA, psychiatric disorders, and other known risk factors. RESULTS Two loci reached genome-wide significance for SA: the major histocompatibility complex and an intergenic locus on chromosome 7, the latter of which remained associated with SA after conditioning on psychiatric disorders and replicated in an independent cohort from the Million Veteran Program. This locus has been implicated in risk-taking behavior, smoking, and insomnia. SA showed strong genetic correlation with psychiatric disorders, particularly major depression, and also with smoking, pain, risk-taking behavior, sleep disturbances, lower educational attainment, reproductive traits, lower socioeconomic status, and poorer general health. After conditioning on psychiatric disorders, the genetic correlations between SA and psychiatric disorders decreased, whereas those with nonpsychiatric traits remained largely unchanged. CONCLUSIONS Our results identify a risk locus that contributes more strongly to SA than other phenotypes and suggest a shared underlying biology between SA and known risk factors that is not mediated by psychiatric disorders.
Collapse
Affiliation(s)
- Niamh Mullins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York.
| | - JooEun Kang
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adrian I Campos
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Jonathan R I Coleman
- National Institute for Health Research Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom; Social Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - Alexis C Edwards
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Hanga Galfalvy
- Department of Biostatistics, Columbia University, New York, New York; Department of Psychiatry, Columbia University, New York, New York
| | - Daniel F Levey
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Adriana Lori
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Andrey Shabalin
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah
| | - Anna Starnawska
- Centre for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark; Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
| | - Mei-Hsin Su
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Hunna J Watson
- School of Psychology, Curtin University, Perth, Western Australia, Australia; Division of Paediatrics, The University of Western Australia, Perth, Western Australia, Australia; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Mark Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Swapnil Awasthi
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin, Berlin, Germany
| | - Michael Gandal
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | | | - Akitoyo Hishimoto
- Department of Psychiatry, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Minsoo Kim
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ikuo Otsuka
- Department of Psychiatry, Columbia University, New York, New York; Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Stephan Ripke
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin, Berlin, Germany; Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts; Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Erin B Ware
- Population Studies Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan; Survery Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Andrew W Bergen
- BioRealm, LLC, Walnut, California; Oregon Research Institute, Eugene, Oregon
| | - Wade H Berrettini
- Department of Psychiatry, Center for Neurobiology and Behavior, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin Bohus
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Harry Brandt
- Center for Eating Disorders at Sheppard Pratt, Baltimore, Maryland
| | - Xiao Chang
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Wei J Chen
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan; Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli County, Taiwan
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Steven Crawford
- Center for Eating Disorders at Sheppard Pratt, Baltimore, Maryland
| | - Scott Crow
- Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota
| | - Emily DiBlasi
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah
| | - Philibert Duriez
- Hôpital Sainte-Anne, GHU Paris Psychiatrie et Neurosciences, Paris, France; Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Université de Paris, Paris, France
| | | | - Manfred M Fichter
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany; Schön Klinik Roseneck affiliated with the Medical Faculty of the University of Munich, Munich, Germany
| | - Steven Gallinger
- Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephen J Glatt
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Philip Gorwood
- Hôpital Sainte-Anne, GHU Paris Psychiatrie et Neurosciences, Paris, France; Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Université de Paris, Paris, France
| | - Yiran Guo
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Hakon Hakonarson
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Katherine A Halmi
- Department of Psychiatry, Weill Cornell Medical College, New York, New York
| | - Hai-Gwo Hwu
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, La Jolla, California
| | - Stéphane Jamain
- Inserm U955, Institut Mondor de recherches Biomédicales, Laboratoire, Neuro-Psychiatrie Translationnelle, and Fédération Hospitalo-Universitaire de Précision Médecine en Addictologie et Psychiatrie, University Paris-Est-Créteil, Créteil, France
| | - Susana Jiménez-Murcia
- Department of Psychiatry, University Hospital Bellvitge-IDIBELL and CIBEROBN, Barcelona, Spain
| | | | - Allan S Kaplan
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada; Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Walter H Kaye
- Department of Psychiatry, Department of Psychiatry, University of California San Diego, San Diego, California
| | - Pamela K Keel
- Department of Psychology, Florida State University, Tallahassee, Florida
| | - James L Kennedy
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada; Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Kelly L Klump
- Department of Psychology, Michigan State University, Lansing, Michigan
| | - Dong Li
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Shih-Cheng Liao
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, University Medical Center, Mainz, Germany
| | - Lisa Lilenfeld
- Department of Clinical Psychology, The Chicago School of Professional Psychology, Washington, DC
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Pierre J Magistretti
- BESE Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia; Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Christian R Marshall
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - James E Mitchell
- Department of Psychiatry and Behavioral Science, University of North Dakota School of Medicine and Health Sciences, Fargo, North Dakota
| | - Eric T Monson
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah
| | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, Alabama
| | - Dalila Pinto
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Abigail Powers
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Nicolas Ramoz
- Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Université de Paris, Paris, France
| | - Stefan Roepke
- Department of Psychiatry, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Campus Benjamin Franklin, Berlin, Germany
| | - Vsevolod Rozanov
- Department of Psychology, St. Petersburg State University, Saint Petersburg, Russian Federation; Department of Borderline Disorders and Psychotherapy, V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Stephen W Scherer
- Department of Genetics and Genomic Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Marcus Sokolowski
- National Centre for Suicide Research and Prevention of Mental Ill-Health, LIME, Karolinska Institutet, Stockholm, Sweden
| | - Michael Strober
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California
| | - Laura M Thornton
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Janet Treasure
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, London, United Kingdom; National Institute for Health Research Biomedical Research Centre, King's College London and South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Ming T Tsuang
- Center for Behavioral Genomics, Department of Psychiatry, University of California San Diego, San Diego, California
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - D Blake Woodside
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada; Centre for Mental Health, University Health Network, Toronto, Ontario, Canada; Program for Eating Disorders, University Health Network, Toronto, Ontario, Canada
| | - Zeynep Yilmaz
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Rolf Adolfsson
- Department of Clinical Sciences, Psychiatry, Umeå University Medical Faculty, Umeå, Sweden
| | - Ingrid Agartz
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tracy M Air
- Discipline of Psychiatry, University of Adelaide, Adelaide, South Australia, Australia
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - Lars Alfredsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Institut of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; NORMENT, University of Oslo, Oslo, Norway
| | - Adebayo Anjorin
- Psychiatry, Berkshire Healthcare NHS Foundation Trust, Bracknell, United Kingdom
| | - Vivek Appadurai
- Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
| | - María Soler Artigas
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Department of Genetics, Microbiology & Statistics, University of Barcelona, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - M Helena Azevedo
- Department of Psychiatry, University of Coimbra, Coimbra, Portugal
| | - Nicholas Bass
- Division of Psychiatry, University College London, London, United Kingdom
| | - Claiton H D Bau
- Laboratory of Developmental Psychiatry, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Bernhard T Baune
- Department of Psychiatry, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia; Department of Psychiatry, University of Münster, Münster, Nordrhein-Westfalen, Germany
| | - Frank Bellivier
- Department of Psychiatry and Addiction Medicine, Assistance Publique Hôpitaux de Paris, Paris, France; Paris Bipolar and TRD Expert Centres, FondaMental Foundation, Paris, France; UMR-S1144 Team 1: Biomarkers of relapse and therapeutic response in addiction and mood disorders, INSERM, Paris, France; Psychiatry, Université Paris Diderot, Paris, France
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Nordrhein-Westfalen, Germany
| | | | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, New York; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Elisabeth B Binder
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia; Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Michael Boehnke
- Center for Statistical Genetics and Department of Biostatistics, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Marco P Boks
- Department of Psychiatry, UMC Utrecht Hersencentrum, Utrecht, the Netherlands
| | - Rosa Bosch
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - David L Braff
- Department of Psychiatry, University of California San Diego, La Jolla, California
| | - Richard Bryant
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia; Centre for Children's Health Research, The University of Queensland, Brisbane, Queensland, Australia
| | - Wiepke Cahn
- Department of Psychiatry, UMC Utrecht Hersencentrum, Utrecht, the Netherlands
| | - Miguel Casas
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Enrique Castelao
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jorge A Cervilla
- Mental Health Unit, Department of Psychiatry, Faculty of Medicine, Granada University Hospital Complex, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Boris Chaumette
- Institut de Psychiatrie, CNRS GDR 3557, Paris, France; Department of Evaluation, Prevention and Therapeutic innovation, GHU Paris Psychiatrie et Neurosciences, Paris, France; Team Pathophysiology of psychiatric diseases, Université de Paris, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Sven Cichon
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany; Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Department of Biomedicine, University Hospital Basel, Basel, Switzerland; Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity Translational Medicine Institute, Trinity College Dublin, Dublin, Ireland
| | - Nicholas Craddock
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - David Craig
- Department of Translational Genomics, University of Southern California, Pasadena, California
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Howard J Edenberg
- Department of Medical & Molecular Genetics, Indiana University, Indianapolis, Indiana; Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Ayman H Fanous
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, New York; Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Jerome C Foo
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Andreas J Forstner
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany; Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany; Centre for Human Genetics, University of Marburg, Marburg, Germany
| | - Mark Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, Minnesota
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Justine M Gatt
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Pablo V Gejman
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, Illinois; Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois
| | - Ina Giegling
- Department of Psychiatry, University of Munich, Munich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Melissa J Green
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Eugenio H Grevet
- ADHD Outpatient Program, Adult Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil; Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Maria Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - Blanca Gutierrez
- Department of Psychiatry, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Jose Guzman-Parra
- Mental Health Department, University Regional Hospital, Biomedicine Institute, Málaga, Spain
| | - Steven P Hamilton
- Psychiatry, Kaiser Permanente Northern California, San Francisco, California
| | - Marian L Hamshere
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Annette Hartmann
- Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Joanna Hauser
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznań, Poland
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland; Department of Biomedicine, University Hospital Basel, Basel, Switzerland; Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Marcus Ising
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Ian Jones
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Lisa A Jones
- Department of Psychological Medicine, University of Worcester, Worcester, United Kingdom
| | - Lina Jonsson
- Department of Psychiatry and Neuroscience, University of Gothenburg, Gothenburg, Sweden
| | - René S Kahn
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, UMC Utrecht Hersencentrum, Utrecht, the Netherlands
| | - John R Kelsoe
- Department of Psychiatry, University of California San Diego, La Jolla, California; Institute for Genomic Medicine, University of California San Diego, La Jolla, California
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia
| | - Stefan Kloiber
- Max Planck Institute of Psychiatry, Munich, Germany; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Karestan C Koenen
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts
| | | | - Bettina Konte
- Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Marie-Odile Krebs
- Institut de Psychiatrie, CNRS GDR 3557, Paris, France; Department of Evaluation, Prevention and Therapeutic innovation, GHU Paris Psychiatrie et Neurosciences, Paris, France; Team Pathophysiology of psychiatric diseases, Université de Paris, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry and Neuroscience, University of Gothenburg, Gothenburg, Sweden
| | - Jacob Lawrence
- Psychiatry, North East London NHS Foundation Trust, Ilford, Cheshire, United Kingdom
| | - Marion Leboyer
- Faculté de Médecine, University Paris-Est-Créteil, Créteil, France; Department of Psychiatry and Addiction Medicine, Assistance Publique Hôpitaux de Paris, Paris, France; INSERM, Paris, France
| | - Phil H Lee
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts; Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California
| | - Calwing Liao
- Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, Québec, Canada; Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - Jolanta Lissowska
- Cancer Epidemiology and Prevention, Sklodowska-Curie Cancer Center and Institute of Oncology, Warsaw, Poland
| | | | - Fermin Mayoral
- Mental Health Department, University Regional Hospital, Biomedicine Institute, Málaga, Spain
| | | | - Patrick McGrath
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York
| | - Peter McGuffin
- Social Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - Andrew McQuillin
- Division of Psychiatry, University College London, London, United Kingdom
| | - Sarah E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Divya Mehta
- Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia; School of Psychology and Counseling, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Ingrid Melle
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Division of Mental Health and Addiction, University of Oslo, Institute of Clinical Medicine, Oslo, Norway
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Esther Molina
- Department of Nursing, Faculty of Medicine, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Gunnar Morken
- Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, Trondheim, Norway; Psychiatry, St. Olavs University Hospital, Trondheim, Norway
| | - Preben Bo Mortensen
- Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark; National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Copenhagen, Denmark
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany; Munich Cluster for Systems Neurology, Munich, Germany; University of Liverpool, Liverpool, United Kingdom
| | - Caroline Nievergelt
- Department of Psychiatry, University of California San Diego, La Jolla, California
| | - Vishwajit Nimgaonkar
- Psychiatry and Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Michael C O'Donovan
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Roel A Ophoff
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Los Angeles, California; Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Michael J Owen
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Carlos Pato
- College of Medicine Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, New York; Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, New York
| | - Michele T Pato
- Institute for Genomic Health, SUNY Downstate Medical Center College of Medicine, Brooklyn, New York
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit and GGZ inGeest, Amsterdam, Netherlands
| | - Jonathan Pimm
- Division of Psychiatry, University College London, London, United Kingdom
| | - Giorgio Pistis
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - James B Potash
- Department of Psychiatry, University of Iowa, Iowa City, Iowa
| | - Robert A Power
- Social Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom; Genetics, BioMarin Pharmaceuticals, London, United Kingdom; University of Oxford, St. Edmund Hall, Oxford, United Kingdom
| | - Martin Preisig
- Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Digby Quested
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Josep Antoni Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Marta Ribasés
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Department of Genetics, Microbiology & Statistics, University of Barcelona, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Vanesa Richarte
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Margarita Rivera
- Social Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom; Department of Biochemistry and Molecular Biology II and Institute of Neurosciences, Biomedical Research Centre, University of Granada, Granada, Spain
| | - Andrea Roberts
- Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, Massachusetts
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Guy A Rouleau
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Québec, Canada; Montreal Neurological Institute and Hospital, Montreal, Québec, Canada
| | - Diego L Rovaris
- Department of Physiology and Biophysics, Instituto de Ciencias Biomedicas Universidade de Sao Paulo, São Paulo, Brazil
| | - Dan Rujescu
- Department of Psychiatry, Psychotherapy and Psychosomatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Cristina Sánchez-Mora
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Department of Genetics, Microbiology & Statistics, University of Barcelona, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Alan R Sanders
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, Illinois; Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Thomas G Schulze
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland; Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig-Maximilians-University, Munich, Germany; Human Genetics Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, Maryland; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Laura J Scott
- Center for Statistical Genetics and Department of Biostatistics, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Stanley I Shyn
- Behavioral Health Services, Kaiser Permanente Washington, Seattle, Washington, DC
| | - Lea Sirignano
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Pamela Sklar
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Olav B Smeland
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; NORMENT, University of Oslo, Oslo, Norway
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Edmund J S Sonuga-Barke
- Institute of Psychology, Psychiatry & Neuroscience, King's College London, London, United Kingdom
| | - Gianfranco Spalletta
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas; Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
| | - John S Strauss
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lódz, Poland
| | - Maciej Trzaskowski
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Gustavo Turecki
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Québec, Canada
| | - Laura Vilar-Ribó
- Department of Psychiatry, Hospital Universitari Vall d'Hebrón, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - John B Vincent
- Molecular Brain Science, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - James T R Walters
- Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Cynthia Shannon Weickert
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Thomas W Weickert
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Myrna M Weissman
- Columbia University College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia; Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| | - Clement C Zai
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada; Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Allison E Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Jean C Beckham
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina; VISN 6 Mid-Atlantic Mental Illness Research, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina; Cooperative Studies Program Epidemiology Center, Education, and Clinical Center, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Michael A Hauser
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Nathan A Kimbrel
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina; VISN 6 Mid-Atlantic Mental Illness Research, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Jennifer H Lindquist
- VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Benjamin McMahon
- Theoretical Division, Los Alamos National Laboratory, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - David W Oslin
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; VISN 4 Mental Illness Research, Education, and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Xuejun Qin
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Esben Agerbo
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Anders D Børglum
- Centre for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark; Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
| | - Gerome Breen
- National Institute for Health Research Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom; Social Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - Annette Erlangsen
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark; Department of Mental Health, Johns Hopkins University School of Medicine, Baltimore, Maryland; Danish Research Institute for Suicide Prevention, Mental Health Centre Copenhagen, Copenhagen, Denmark; Center of Mental Health Research, Australian National University, Canberra, Australia
| | - Tõnu Esko
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Joel Gelernter
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare Center, West Haven, Connecticut; Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - David M Hougaard
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Henry R Kranzler
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; VISN 4 Mental Illness Research, Education, and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Qingqin S Li
- Neuroscience, Janssen Research & Development, LLC, Titusville, New Jersey
| | - Nicholas G Martin
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Ole Mors
- Psychosis Research Unit, Aarhus University, Aarhus, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
| | - Merete Nordentoft
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Catherine M Olsen
- Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
| | - David Porteous
- Institute for Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Robert J Ursano
- Department of Psychiatry, Uniformed University of the Health Sciences, Bethesda, Maryland
| | - Danuta Wasserman
- National Centre for Suicide Research and Prevention of Mental Ill-Health, LIME, Karolinska Institutet, Stockholm, Sweden
| | - Thomas Werge
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; Institute of Biological Psychiatry, Copenhagen Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - David C Whiteman
- Department of Population Health, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Hilary Coon
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah; Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Ditte Demontis
- Centre for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark; Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark; Department of Biomedicine, Aarhus University, Aarhus, Denmark; Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus University, Aarhus, Denmark
| | - Anna R Docherty
- Department of Psychiatry, Virginia Commonwealth University, Richmond, Virginia; Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah
| | - Po-Hsiu Kuo
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Cathryn M Lewis
- Department of Medical & Molecular Genetics, King's College London, London, United Kingdom; Social Genetic and Developmental Psychiatry Centre, King's College London, London, United Kingdom
| | - J John Mann
- Departments of Psychiatry and Radiology, Columbia University, New York, New York
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Eli A Stahl
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Murray B Stein
- Department of Psychiatry and School of Public Health, University of California San Diego, La Jolla, California
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | | | - Douglas M Ruderfer
- Division of Genetic Medicine, Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
| |
Collapse
|
23
|
Abstract
Neuropsychiatric diseases have traditionally been studied from brain, and mind-centric perspectives. However, mounting epidemiological and clinical evidence shows a strong correlation of neuropsychiatric manifestations with immune system activation, suggesting a likely mechanistic interaction between the immune and nervous systems in mediating neuropsychiatric disease. Indeed, immune mediators such as cytokines, antibodies, and complement proteins have been shown to affect various cellular members of the central nervous system in multitudinous ways, such as by modulating neuronal firing rates, inducing cellular apoptosis, or triggering synaptic pruning. These observations have in turn led to the exciting development of clinical therapies aiming to harness this neuro-immune interaction for the treatment of neuropsychiatric disease and symptoms. Besides the clinic, important theoretical fundamentals can be drawn from the immune system and applied to our understanding of the brain and neuropsychiatric disease. These new frameworks could lead to novel insights in the field and further potentiate the development of future therapies to treat neuropsychiatric disease.
Collapse
|
24
|
Analysis of whole exome sequencing in severe mental illness hints at selection of brain development and immune related genes. Sci Rep 2021; 11:21088. [PMID: 34702870 PMCID: PMC8548332 DOI: 10.1038/s41598-021-00123-x] [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: 06/05/2021] [Accepted: 10/01/2021] [Indexed: 11/15/2022] Open
Abstract
Evolutionary trends may underlie some aspects of the risk for common, non-communicable disorders, including psychiatric disease. We analyzed whole exome sequencing data from 80 unique individuals from India coming from families with two or more individuals with severe mental illness. We used Population Branch Statistics (PBS) to identify variants and genes under positive selection and identified 74 genes as candidates for positive selection. Of these, 20 were previously associated with Schizophrenia, Alzheimer’s disease and cognitive abilities in genome wide association studies. We then checked whether any of these 74 genes were involved in common biological pathways or related to specific cellular or molecular functions. We found that immune related pathways and functions related to innate immunity such as antigen binding were over-represented. We also evaluated for the presence of Neanderthal introgressed segments in these genes and found Neanderthal introgression in a single gene out of the 74 candidate genes. However, the introgression pattern indicates the region is unlikely to be the source for selection. Our findings hint at how selection pressures in individuals from families with a history of severe mental illness may diverge from the general population. Further, it also provides insights into the genetic architecture of severe mental illness, such as schizophrenia and its link to immune factors.
Collapse
|
25
|
O'Connell KS, Coombes BJ. Genetic contributions to bipolar disorder: current status and future directions. Psychol Med 2021; 51:2156-2167. [PMID: 33879273 PMCID: PMC8477227 DOI: 10.1017/s0033291721001252] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 03/12/2021] [Accepted: 03/19/2021] [Indexed: 12/12/2022]
Abstract
Bipolar disorder (BD) is a highly heritable mental disorder and is estimated to affect about 50 million people worldwide. Our understanding of the genetic etiology of BD has greatly increased in recent years with advances in technology and methodology as well as the adoption of international consortiums and large population-based biobanks. It is clear that BD is also highly heterogeneous and polygenic and shows substantial genetic overlap with other psychiatric disorders. Genetic studies of BD suggest that the number of associated loci is expected to substantially increase in larger future studies and with it, improved genetic prediction of the disorder. Still, a number of challenges remain to fully characterize the genetic architecture of BD. First among these is the need to incorporate ancestrally-diverse samples to move research away from a Eurocentric bias that has the potential to exacerbate health disparities already seen in BD. Furthermore, incorporation of population biobanks, registry data, and electronic health records will be required to increase the sample size necessary for continued genetic discovery, while increased deep phenotyping is necessary to elucidate subtypes within BD. Lastly, the role of rare variation in BD remains to be determined. Meeting these challenges will enable improved identification of causal variants for the disorder and also allow for equitable future clinical applications of both genetic risk prediction and therapeutic interventions.
Collapse
Affiliation(s)
- Kevin S. O'Connell
- Division of Mental Health and Addiction, NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo University Hospital, 0407Oslo, Norway
| | - Brandon J. Coombes
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| |
Collapse
|
26
|
Bocharova AV, Stepanov VA. Genetic Diversity of North Eurasia Populations by Genetic Markers Associated with Diseases Impairing Human Cognitive Functions. RUSS J GENET+ 2021. [DOI: 10.1134/s1022795421080020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
|
27
|
Liu X, Xie H, Fu Z, Yao Q, Han T, Zhan D, Lin Z, Zhu H. MAD1L1 and TSNARE gene polymorphisms are associated with schizophrenia susceptibility in the Han Chinese population. BMC Med Genomics 2021; 14:218. [PMID: 34481484 PMCID: PMC8418747 DOI: 10.1186/s12920-021-01070-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 08/23/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe mental illness with high heritability. This study aimed to explore the correlation between MAD1L1, TSNARE polymorphisms and SCZ susceptibility. METHODS A total of 493 SCZ patients and 493 healthy controls were included. The genotypes of MAD1L1 and TSNARE polymorphisms were identified by Agena MassARRAY platform. Odds ratio (OR) and 95% confidence intervals (CIs) were tested via logistic regression analysis in multiple genetic models and different subgroups. RESULTS We observed that AG genotype of rs1107592, AG genotype of rs4976976, and CA genotype of rs67756423 decreased the susceptibility to SCZ (p < 0.05). Age stratification analysis showed that the TC genotype of rs12666575, AG genotype of rs1107592, and AG genotype of rs4976976 decreased the risk of SCZ individuals older than 36 years (p < 0.05). In addition, the AG and AA genotype of rs4976976, the CA genotype of rs67756423 were associated with a lower risk of SCZ in males (p < 0.05). In females, the TT genotype of rs12666575 in recessive model, the AG and AA-AG genotype of rs1107592 in heterozygote and dominant model, could reduce the susceptibility to SCZ (p < 0.05). However, no significant association was found after Bonferroni correction. CONCLUSIONS Our results suggest that MAD1L1 and TSNARE genetic polymorphisms exert a protective role in the risk of SCZ. These findings provide evidence that MAD1L1 and TSNARE may serve as potential biomarkers of SCZ. However, a replication experiment in a cohort with large sample size are required to confirm our findings. Trial registration Not applicable.
Collapse
Affiliation(s)
- Xianglai Liu
- Institute of Mental Health, Hainan Provincial Anning Hospital, No 10, Nanhai Avenue East, Haikou, 571100, Hainan, China.
| | - Hailing Xie
- First Department of Psychiatry, Hainan Provincial Anning Hospital, Haikou, 571100, Hainan, China
| | - Zejuan Fu
- Department of Nursing, Hainan Provincial Anning Hospital, Haikou, 571100, Hainan, China
| | - Qiankun Yao
- Department of Prevention Section, Hainan Provincial Anning Hospital, Haikou, 571100, Hainan, China
| | - Tianming Han
- Institute of Mental Health, Hainan Provincial Anning Hospital, No 10, Nanhai Avenue East, Haikou, 571100, Hainan, China
| | - Dafei Zhan
- Institute of Mental Health, Hainan Provincial Anning Hospital, No 10, Nanhai Avenue East, Haikou, 571100, Hainan, China
| | - Zhan Lin
- Institute of Mental Health, Hainan Provincial Anning Hospital, No 10, Nanhai Avenue East, Haikou, 571100, Hainan, China
| | - Hong Zhu
- Institute of Mental Health, Hainan Provincial Anning Hospital, No 10, Nanhai Avenue East, Haikou, 571100, Hainan, China
| |
Collapse
|
28
|
Chen X, Chen DG, Zhao Z, Zhan J, Ji C, Chen J. Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network. PATTERNS (NEW YORK, N.Y.) 2021; 2:100303. [PMID: 34430925 PMCID: PMC8369164 DOI: 10.1016/j.patter.2021.100303] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 03/17/2021] [Accepted: 06/07/2021] [Indexed: 01/08/2023]
Abstract
In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classified as a regular image by CNN algorithms. Using schizophrenia as a case study, we demonstrate the principles and their applications with 3 datasets. With 4,096 SNVs, the CNN models achieved an accuracy of 0.678 ± 0.007 and an AUC of 0.738 ± 0.008 for the diagnosis phenotype. With 44,100 SNVs, the models achieved class-specific accuracies of 0.806 ± 0.032 and 0.820 ± 0.049, and AUCs of 0.930 ± 0.017 and 0.867 ± 0.040 for the bottom and top classes stratified by the patient's polygenic risk scores. These results suggest that, once transformed to images, large genomics data can be analyzed effectively with image classification algorithms. Introduce a technique to transform genomics data into AIOs Apply CNN algorithms to classify genomics derived AIOs Showcase the technique with GWAS-selected SNVs to classify schizophrenia diagnosis
Genome-wide association studies have discovered many genetic variants that contribute to human diseases. However, it remains a challenge to effectively utilize these variants to facilitate early and accurate diagnosis and treatment. In this report, we propose a new approach that transforms genetic data into AIOs so that they can be classified by advanced artificial intelligence and machine learning algorithms. Using schizophrenia as a case study, we demonstrate that genetic variants can be transformed into AIOs and that the AIOs can be classified by CNN algorithms consistently. Our approach can be applied to other omics data and combine them to jointly model disease risks and treatment responses.
Collapse
Affiliation(s)
- Xiangning Chen
- 410 AI, LLC, 10 Plummer Ct, Germantown, MD 20876, USA.,A3.AI INC., 10530 Stevenson Road, Stevenson, MD 21153, USA
| | - Daniel G Chen
- 410 AI, LLC, 10 Plummer Ct, Germantown, MD 20876, USA
| | - Zhongming Zhao
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.,Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Justin Zhan
- Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR 72701, USA
| | - Changrong Ji
- A3.AI INC., 10530 Stevenson Road, Stevenson, MD 21153, USA
| | - Jingchun Chen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| |
Collapse
|
29
|
Yue Q, Yang J, Shu Q, Bai M, Shu K. Convolutional Neural Network Visualization for Identification of Risk Genes in Bipolar Disorder. Curr Mol Med 2021; 20:429-441. [PMID: 31782363 DOI: 10.2174/1566524019666191129111753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/16/2019] [Accepted: 10/30/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a type of chronic emotional disorder with a complex genetic structure. However, its genetic molecular mechanism is still unclear, which makes it insufficient to be diagnosed and treated. METHODS AND RESULTS In this paper, we proposed a model for predicting BD based on single nucleotide polymorphisms (SNPs) screening by genome-wide association study (GWAS), which was constructed by a convolutional neural network (CNN) that predicted the probability of the disease. According to the difference of GWAS threshold, two sets of data were named: group P001 and group P005. And different convolutional neural networks are set for the two sets of data. The training accuracy of the model trained with group P001 data is 96%, and the test accuracy is 91%. The training accuracy of the model trained with group P005 data is 94.5%, and the test accuracy is 92%. At the same time, we used gradient weighted class activation mapping (Grad-CAM) to interpret the prediction model, indirectly to identify high-risk SNPs of BD. In the end, we compared these high-risk SNPs with human gene annotation information. CONCLUSION The model prediction results of the group P001 yielded 137 risk genes, of which 22 were reported to be associated with the occurrence of BD. The model prediction results of the group P005 yielded 407 risk genes, of which 51 were reported to be associated with the occurrence of BD.
Collapse
Affiliation(s)
- Qixuan Yue
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Jie Yang
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Qian Shu
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Mingze Bai
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| | - Kunxian Shu
- Chongqing Key Laboratory on Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
| |
Collapse
|
30
|
Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n = 17,706). Mol Psychiatry 2021; 26:3943-3955. [PMID: 31666681 PMCID: PMC7190426 DOI: 10.1038/s41380-019-0569-z] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 10/01/2019] [Accepted: 10/20/2019] [Indexed: 12/22/2022]
Abstract
Individual variations of white matter (WM) tracts are known to be associated with various cognitive and neuropsychiatric traits. Diffusion tensor imaging (DTI) and genome-wide single-nucleotide polymorphism (SNP) data from 17,706 UK Biobank participants offer the opportunity to identify novel genetic variants of WM tracts and explore the genetic overlap with other brain-related complex traits. We analyzed the genetic architecture of 110 tract-based DTI parameters, carried out genome-wide association studies (GWAS), and performed post-GWAS analyses, including association lookups, gene-based association analysis, functional gene mapping, and genetic correlation estimation. We found that DTI parameters are substantially heritable for all WM tracts (mean heritability 48.7%). We observed a highly polygenic architecture of genetic influence across the genome (p value = 1.67 × 10-05) as well as the enrichment of genetic effects for active SNPs annotated by central nervous system cells (p value = 8.95 × 10-12). GWAS identified 213 independent significant SNPs associated with 90 DTI parameters (696 SNP-level and 205 locus-level associations; p value < 4.5 × 10-10, adjusted for testing multiple phenotypes). Gene-based association study prioritized 112 significant genes, most of which are novel. More importantly, association lookups found that many of the novel SNPs and genes of DTI parameters have previously been implicated with cognitive and mental health traits. In conclusion, the present study identifies many new genetic variants at SNP, locus and gene levels for integrity of brain WM tracts and provides the overview of pleiotropy with cognitive and mental health traits.
Collapse
|
31
|
Katrinli S, Smith AK. Immune system regulation and role of the human leukocyte antigen in posttraumatic stress disorder. Neurobiol Stress 2021; 15:100366. [PMID: 34355049 PMCID: PMC8322450 DOI: 10.1016/j.ynstr.2021.100366] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 05/28/2021] [Accepted: 07/10/2021] [Indexed: 11/01/2022] Open
Abstract
Posttraumatic stress disorder (PTSD) is a debilitating condition that adversely affect mental and physical health. Recent studies have increasingly explored the role of the immune system in risk for PTSD and its related symptoms. Dysregulation of the immune system may lead to central nervous system tissue damage and impair learning and memory processes. Individuals with PTSD often have comorbid inflammatory or auto-immune disorders. Evidence shows associations between PTSD and multiple genes that are involved in immune-related or inflammatory pathways. In this review, we will summarize the evidence of immune dysregulation in PTSD, outlining the contributions of distinct cell types, genes, and biological pathways. We use the Human Leukocyte Antigen (HLA) locus to illustrate the contribution of genetic variation to function in different tissues that contribute to PTSD etiology, severity, and comorbidities.
Collapse
Affiliation(s)
- Seyma Katrinli
- Emory University, Department of Gynecology and Obstetrics, Atlanta, GA, USA
| | - Alicia K Smith
- Emory University, Department of Gynecology and Obstetrics, Atlanta, GA, USA.,Emory University School of Medicine, Department of Psychiatry and Behavioral Sciences, Atlanta, GA, USA
| |
Collapse
|
32
|
Robinson N, Bergen SE. Environmental Risk Factors for Schizophrenia and Bipolar Disorder and Their Relationship to Genetic Risk: Current Knowledge and Future Directions. Front Genet 2021; 12:686666. [PMID: 34262598 PMCID: PMC8273311 DOI: 10.3389/fgene.2021.686666] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 05/20/2021] [Indexed: 12/16/2022] Open
Abstract
Schizophrenia (SZ) and bipolar disorder (BD) are severe psychiatric disorders which result from complex interplay between genetic and environmental factors. It is well-established that they are highly heritable disorders, and considerable progress has been made identifying their shared and distinct genetic risk factors. However, the 15-40% of risk that is derived from environmental sources is less definitively known. Environmental factors that have been repeatedly investigated and often associated with SZ include: obstetric complications, infections, winter or spring birth, migration, urban living, childhood adversity, and cannabis use. There is evidence that childhood adversity and some types of infections are also associated with BD. Evidence for other risk factors in BD is weaker due to fewer studies and often smaller sample sizes. Relatively few environmental exposures have ever been examined for SZ or BD, and additional ones likely remain to be discovered. A complete picture of how genetic and environmental risk factors confer risk for these disorders requires an understanding of how they interact. Early gene-by-environment interaction studies for both SZ and BD often involved candidate genes and were underpowered. Larger samples with genome-wide data and polygenic risk scores now offer enhanced prospects to reveal genetic interactions with environmental exposures that contribute to risk for these disorders. Overall, although some environmental risk factors have been identified for SZ, few have been for BD, and the extent to which these account for the total risk from environmental sources remains unknown. For both disorders, interactions between genetic and environmental risk factors are also not well understood and merit further investigation. Questions remain regarding the mechanisms by which risk factors exert their effects, and the ways in which environmental factors differ by sex. Concurrent investigations of environmental and genetic risk factors in SZ and BD are needed as we work toward a more comprehensive understanding of the ways in which these disorders arise.
Collapse
Affiliation(s)
| | - Sarah E. Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
33
|
Zhang L, Jiao C, Liu L, Wang A, Tang L, Ren Y, Huang P, Xu J, Mao D, Liu L. NLRC5: A Potential Target for Central Nervous System Disorders. Front Immunol 2021; 12:704989. [PMID: 34220868 PMCID: PMC8250149 DOI: 10.3389/fimmu.2021.704989] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 06/07/2021] [Indexed: 12/22/2022] Open
Abstract
Nucleotide oligomerization domain-like receptors (NLRs), a class of pattern recognition receptors, participate in the host’s first line of defense against invading pathogenic microorganisms. NLR family caspase recruitment domain containing 5 (NLRC5) is the largest member of the NLR family and has been shown to play an important role in inflammatory processes, angiogenesis, immunity, and apoptosis by regulating the nuclear factor-κB, type I interferon, and inflammasome signaling pathways, as well as the expression of major histocompatibility complex I genes. Recent studies have found that NLRC5 is also associated with neuronal development and central nervous system (CNS) diseases, such as CNS infection, cerebral ischemia/reperfusion injury, glioma, multiple sclerosis, and epilepsy. This review summarizes the research progress in the structure, expression, and biological characteristics of NLRC5 and its relationship with the CNS.
Collapse
Affiliation(s)
- Lu Zhang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Cui Jiao
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lingjuan Liu
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Aiping Wang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Li Tang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yi Ren
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Peng Huang
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jie Xu
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Dingan Mao
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Liqun Liu
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
34
|
Abstract
BACKGROUND Despite adequate antipsychotic treatment, most people with schizophrenia continue to exhibit persistent positive and negative symptoms and cognitive impairments. The current study was designed to examine the efficacy and safety of adjunctive anti-inflammatory combination therapy for these illness manifestations. METHODS Thirty-nine people with either Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, schizophrenia or schizoaffective disorder were entered into a 12-week double-blind, 2-arm, triple-dummy, placebo-controlled, randomized clinical trial: 19 were randomized to anti-inflammatory combination therapy and 20 were randomized to placebo. The Brief Psychiatric Rating Scale positive symptom item total score was used to assess positive symptom change, the Scale for the Assessment of Negative Symptoms total score was used to assess negative symptom change, the Calgary Depression Scale total score was used to assess depressive symptom change, and the MATRICS Consensus Cognitive Battery was used to assess neuropsychological test performance. RESULTS There was a significant time effect for Brief Psychiatric Rating Scale positive symptom item score (t226 = -2.66, P = 0.008), but the treatment (t54=1.52, P = 0.13) and treatment × time (t223 = 0.47, P = 0.64) effects were not significant. There were no significant time (t144 = 0.53, P = 0.72), treatment (t58=0.48, P = 0.63), or treatment × time (t143 = -0.20, P = 0.84) effects for the Scale for the Assessment of Negative Symptoms total score; or for any of the other symptom measures. There were no significant group differences in the change in the MATRICS Consensus Cognitive Battery composite score over the course of the study (F1,26=2.20, P = 0.15). CONCLUSIONS The study results suggest that there is no significant benefit of combined anti-inflammatory treatment for persistent positive symptoms or negative symptoms or cognitive impairments (clinicaltrials.gov trial number: NCT01514682).
Collapse
|
35
|
Genetic underpinnings of affective temperaments: a pilot GWAS investigation identifies a new genome-wide significant SNP for anxious temperament in ADGRB3 gene. Transl Psychiatry 2021; 11:337. [PMID: 34075027 PMCID: PMC8169753 DOI: 10.1038/s41398-021-01436-1] [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] [Received: 12/29/2020] [Revised: 04/29/2021] [Accepted: 05/05/2021] [Indexed: 12/22/2022] Open
Abstract
Although recently a large-sample GWASs identified significant loci in the background of depression, the heterogeneity of the depressive phenotype and the lack of accurate phenotyping hinders applicability of findings. We carried out a pilot GWAS with in-depth phenotyping of affective temperaments, considered as subclinical manifestations and high-risk states for affective disorders, in a general population sample of European origin. Affective temperaments were measured by TEMPS-A. SNP-level association was assessed by linear regression models, assuming an additive genetic effect, using PLINK1.9. Gender, age, the first ten principal components (PCs) and the other four temperaments were included in the regression models as covariates. SNP-level relevances (p-values) were aggregated to gene level using the PEGASUS method1. In SNP-based tests, a Bonferroni-corrected significance threshold of p ≤ 5.0 × 10-8 and a suggestive significance threshold of p ≤ 1.0 × 10-5, whereas in gene-based tests a Bonferroni-corrected significance of 2.0 × 10-6 and a suggestive significance of p ≤ 4.0 × 10-4 was established. To explore known functional effects of the most significant SNPs, FUMA v1.3.5 was used. We identified 1 significant and 21 suggestively significant SNPs in ADGRB3, expressed in the brain, for anxious temperament. Several other brain-relevant SNPs and genes emerged at suggestive significance for the other temperaments. Functional analyses reflecting effect on gene expression and participation in chromatin interactions also pointed to several genes expressed in the brain with potentially relevant phenotypes regulated by our top SNPs. Our findings need to be tested in larger GWA studies and candidate gene analyses in well-phenotyped samples in relation to affective disorders and related phenotypes.
Collapse
|
36
|
Pol-Fuster J, Cañellas F, Ruiz-Guerra L, Medina-Dols A, Bisbal-Carrió B, Asensio V, Ortega-Vila B, Marzese D, Vidal C, Santos C, Lladó J, Olmos G, Heine-Suñer D, Strauch K, Flaquer A, Vives-Bauzà C. Familial Psychosis Associated With a Missense Mutation at MACF1 Gene Combined With the Rare Duplications DUP3p26.3 and DUP16q23.3, Affecting the CNTN6 and CDH13 Genes. Front Genet 2021; 12:622886. [PMID: 33897758 PMCID: PMC8058362 DOI: 10.3389/fgene.2021.622886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/15/2021] [Indexed: 12/30/2022] Open
Abstract
Psychosis is a highly heritable and heterogeneous psychiatric condition. Its genetic architecture is thought to be the result of the joint effect of common and rare variants. Families with high prevalence are an interesting approach to shed light on the rare variant's contribution without the need of collecting large cohorts. To unravel the genomic architecture of a family enriched for psychosis, with four affected individuals, we applied a system genomic approach based on karyotyping, genotyping by whole-exome sequencing to search for rare single nucleotide variants (SNVs) and SNP array to search for copy-number variants (CNVs). We identified a rare non-synonymous variant, g.39914279 C > G, in the MACF1 gene, segregating with psychosis. Rare variants in the MACF1 gene have been previously detected in SCZ patients. Besides, two rare CNVs, DUP3p26.3 and DUP16q23.3, were also identified in the family affecting relevant genes (CNTN6 and CDH13, respectively). We hypothesize that the co-segregation of these duplications with the rare variant g.39914279 C > G of MACF1 gene precipitated with schizophrenia and schizoaffective disorder.
Collapse
Affiliation(s)
- Josep Pol-Fuster
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Department of Biology, University of Balearic Islands (UIB) and Institut Universitari d'Investigacions en Ciències de la Salut, IUNICS, Palma, Spain
| | - Francesca Cañellas
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Psychiatry Service, University Hospital Son Espases (HUSE), Palma, Spain
| | - Laura Ruiz-Guerra
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Research Unit, HUSE, Palma, Spain
| | - Aina Medina-Dols
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Research Unit, HUSE, Palma, Spain
| | - Bàrbara Bisbal-Carrió
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Department of Biology, University of Balearic Islands (UIB) and Institut Universitari d'Investigacions en Ciències de la Salut, IUNICS, Palma, Spain
| | - Víctor Asensio
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Genomic Service Balearic Islands (GEN-IB), HUSE, Palma, Spain
| | - Bernat Ortega-Vila
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Genomic Service Balearic Islands (GEN-IB), HUSE, Palma, Spain
| | - Diego Marzese
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Research Unit, HUSE, Palma, Spain
| | - Carme Vidal
- Genomic Service Balearic Islands (GEN-IB), HUSE, Palma, Spain
| | - Carmen Santos
- Genomic Service Balearic Islands (GEN-IB), HUSE, Palma, Spain
| | - Jerònia Lladó
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Department of Biology, University of Balearic Islands (UIB) and Institut Universitari d'Investigacions en Ciències de la Salut, IUNICS, Palma, Spain
| | - Gabriel Olmos
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Department of Biology, University of Balearic Islands (UIB) and Institut Universitari d'Investigacions en Ciències de la Salut, IUNICS, Palma, Spain
| | - Damià Heine-Suñer
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Genomic Service Balearic Islands (GEN-IB), HUSE, Palma, Spain
| | - Konstantin Strauch
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Antònia Flaquer
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany.,Institute of Genetic Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Cristòfol Vives-Bauzà
- Health Research Institute of Balearic Islands (IdISBa), Palma, Spain.,Department of Biology, University of Balearic Islands (UIB) and Institut Universitari d'Investigacions en Ciències de la Salut, IUNICS, Palma, Spain.,Research Unit, HUSE, Palma, Spain
| |
Collapse
|
37
|
Bhat A, Irizar H, Thygesen JH, Kuchenbaecker K, Pain O, Adams RA, Zartaloudi E, Harju-Seppänen J, Austin-Zimmerman I, Wang B, Muir R, Summerfelt A, Du XM, Bruce H, O'Donnell P, Srivastava DP, Friston K, Hong LE, Hall MH, Bramon E. Transcriptome-wide association study reveals two genes that influence mismatch negativity. Cell Rep 2021; 34:108868. [PMID: 33730571 PMCID: PMC7972991 DOI: 10.1016/j.celrep.2021.108868] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 12/09/2020] [Accepted: 02/24/2021] [Indexed: 01/22/2023] Open
Abstract
Mismatch negativity (MMN) is a differential electrophysiological response measuring cortical adaptability to unpredictable stimuli. MMN is consistently attenuated in patients with psychosis. However, the genetics of MMN are uncharted, limiting the validation of MMN as a psychosis endophenotype. Here, we perform a transcriptome-wide association study of 728 individuals, which reveals 2 genes (FAM89A and ENGASE) whose expression in cortical tissues is associated with MMN. Enrichment analyses of neurodevelopmental expression signatures show that genes associated with MMN tend to be overexpressed in the frontal cortex during prenatal development but are significantly downregulated in adulthood. Endophenotype ranking value calculations comparing MMN and three other candidate psychosis endophenotypes (lateral ventricular volume and two auditory-verbal learning measures) find MMN to be considerably superior. These results yield promising insights into sensory processing in the cortex and endorse the notion of MMN as a psychosis endophenotype.
Collapse
Affiliation(s)
- Anjali Bhat
- Division of Psychiatry, University College London, London, UK; Wellcome Centre for Human Neuroimaging, University College London, London, UK; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK.
| | - Haritz Irizar
- Division of Psychiatry, University College London, London, UK
| | | | - Karoline Kuchenbaecker
- Division of Psychiatry, University College London, London, UK; UCL Genetics Institute, University College London, London, UK
| | - Oliver Pain
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Rick A Adams
- Division of Psychiatry, University College London, London, UK; Institute of Cognitive Neuroscience, University College London, London, UK
| | | | - Jasmine Harju-Seppänen
- Division of Psychiatry, University College London, London, UK; Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | | | - Baihan Wang
- Division of Psychiatry, University College London, London, UK
| | - Rebecca Muir
- Division of Psychiatry, University College London, London, UK
| | - Ann Summerfelt
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - Xiaoming Michael Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - Patricio O'Donnell
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, Baltimore, MD, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Takeda Pharmaceuticals, Cambridge, MA, USA
| | - Deepak P Srivastava
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
| | - Karl Friston
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - Mei-Hua Hall
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK; Institute of Cognitive Neuroscience, University College London, London, UK; Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
| |
Collapse
|
38
|
Carmel M, Michaelovsky E, Weinberger R, Frisch A, Mekori-Domachevsky E, Gothelf D, Weizman A. Differential methylation of imprinting genes and MHC locus in 22q11.2 deletion syndrome-related schizophrenia spectrum disorders. World J Biol Psychiatry 2021; 22:46-57. [PMID: 32212948 DOI: 10.1080/15622975.2020.1747113] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES 22q11.2 deletion syndrome (DS) is the strongest known genetic risk for schizophrenia. Methylome screening was conducted to elucidate possible involvement of epigenetic alterations in the emergence of schizophrenia spectrum disorders (SZ-SD) in 22q11.2DS. METHODS Sixteen adult men with/without SZ-SD were recruited from a 22q11.2DS cohort and underwent genome-wide DNA methylation profile analysis. Differentially methylated probes (DMPs) and regions (DMRs) were analysed using the ChAMP software. RESULTS The DMPs (p-value <10-6) and DMRs (p-valueArea <0.01) were enriched in two gene sets, 'imprinting genes' and 'chr6p21', a region overlapping the MHC locus. Most of the identified imprinting genes are involved in neurodevelopment and located in clusters under imprinting control region (ICR) regulation, including PEG10, SGCE (7q21.3), GNAS, GNAS-AS1 (20q13.32) and SNHG14, SNURF-SNRPN, SNORD115 (15q11.2). The differentially methylated genes from the MHC locus included immune HLA-genes and non-immune genes, RNF39, PPP1R18 and NOTCH4, implicated in neurodevelopment and synaptic plasticity. The most significant DMR is located in MHC locus and covered the transcription regulator ZFP57 that is required for control and maintenance of gene imprinting at multiple ICRs. CONCLUSIONS The differential methylation in imprinting genes and in chr6p21-22 indicate the neurodevelopmental nature of 22q11.2DS-related SZ and the major role of MHC locus in the risk to develop SZ.
Collapse
Affiliation(s)
- Miri Carmel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Elena Michaelovsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Ronnie Weinberger
- The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel
| | - Amos Frisch
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel
| | - Ehud Mekori-Domachevsky
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel
| | - Doron Gothelf
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,The Behavioral Neurogenetics Center and Child Psychiatry Division, Sheba Medical Center, Ramat Gan, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Abraham Weizman
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Felsenstein Medical Research Center, Petach Tikva, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Geha Mental Health Center, Petach Tikva, Israel
| |
Collapse
|
39
|
Sellgren CM, Imbeault S, Larsson MK, Oliveros A, Nilsson IAK, Codeluppi S, Orhan F, Bhat M, Tufvesson-Alm M, Gracias J, Kegel ME, Zheng Y, Faka A, Svedberg M, Powell SB, Caldwell S, Kamenski ME, Vawter MP, Schulmann A, Goiny M, Svensson CI, Hökfelt T, Schalling M, Schwieler L, Cervenka S, Choi DS, Landén M, Engberg G, Erhardt S. GRK3 deficiency elicits brain immune activation and psychosis. Mol Psychiatry 2021; 26:6820-6832. [PMID: 33976392 PMCID: PMC8760053 DOI: 10.1038/s41380-021-01106-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 04/07/2021] [Indexed: 02/03/2023]
Abstract
The G protein-coupled receptor kinase (GRK) family member protein GRK3 has been linked to the pathophysiology of schizophrenia and bipolar disorder. Expression, as well as protein levels, of GRK3 are reduced in post-mortem prefrontal cortex of schizophrenia subjects. Here, we investigate functional behavior and neurotransmission related to immune activation and psychosis using mice lacking functional Grk3 and utilizing a variety of methods, including behavioral, biochemical, electrophysiological, molecular, and imaging methods. Compared to wildtype controls, the Grk3-/- mice show a number of aberrations linked to psychosis, including elevated brain levels of IL-1β, increased turnover of kynurenic acid (KYNA), hyper-responsiveness to D-amphetamine, elevated spontaneous firing of midbrain dopamine neurons, and disruption in prepulse inhibition. Analyzing human genetic data, we observe a link between psychotic features in bipolar disorder, decreased GRK expression, and increased concentration of CSF KYNA. Taken together, our data suggest that Grk3-/- mice show face and construct validity relating to the psychosis phenotype with glial activation and would be suitable for translational studies of novel immunomodulatory agents in psychotic disorders.
Collapse
Affiliation(s)
- Carl M. Sellgren
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden ,grid.4714.60000 0004 1937 0626Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm & Stockholm Health Care Services, Region Stockholm, Sweden
| | - Sophie Imbeault
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Markus K. Larsson
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Alfredo Oliveros
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN USA
| | - Ida A. K. Nilsson
- grid.4714.60000 0004 1937 0626Translational Psychiatry, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Simone Codeluppi
- grid.4714.60000 0004 1937 0626Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Funda Orhan
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Maria Bhat
- grid.418151.80000 0001 1519 6403Research and Development, Innovative Medicines, Personalised Healthcare and Biomarkers, Translational Science Centre, Science for Life Laboratory, AstraZeneca, Solna, Sweden ,grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Maximilian Tufvesson-Alm
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Jessica Gracias
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Magdalena E. Kegel
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Yiran Zheng
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Anthi Faka
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Marie Svedberg
- grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Susan B. Powell
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California San Diego, La Jolla, CA USA
| | - Sorana Caldwell
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California San Diego, La Jolla, CA USA
| | - Mary E. Kamenski
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California San Diego, La Jolla, CA USA
| | - Marquis P. Vawter
- grid.266093.80000 0001 0668 7243Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine School of Medicine, Irvine, CA USA
| | - Anton Schulmann
- grid.416868.50000 0004 0464 0574Human Genetics Branch, National Institute of Mental Health, Bethesda, MD USA
| | - Michel Goiny
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Camilla I. Svensson
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Hökfelt
- grid.4714.60000 0004 1937 0626Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Martin Schalling
- grid.4714.60000 0004 1937 0626Translational Psychiatry, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Lilly Schwieler
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Simon Cervenka
- grid.4714.60000 0004 1937 0626Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm & Stockholm Health Care Services, Region Stockholm, Sweden
| | - Doo-Sup Choi
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN USA ,grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic College of Medicine, Rochester, MN USA
| | - Mikael Landén
- grid.8761.80000 0000 9919 9582Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden ,grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Göran Engberg
- Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden.
| | - Sophie Erhardt
- grid.4714.60000 0004 1937 0626Department of Physiology & Pharmacology, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
40
|
Zhang C, Xiao X, Li T, Li M. Translational genomics and beyond in bipolar disorder. Mol Psychiatry 2021; 26:186-202. [PMID: 32424235 DOI: 10.1038/s41380-020-0782-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 02/08/2023]
Abstract
Genome-wide association studies (GWAS) have revealed multiple genomic loci conferring risk of bipolar disorder (BD), providing hints for its underlying pathobiology. However, there are still remaining questions to answer. For example, discordance exists between BD heritability estimated with earlier epidemiological evidence and that calculated based on common GWAS variations. Where is the "missing heritability"? How can we explain the biology of the disease based on genetic findings? In this review, we summarize the accomplishments and limitations of current BD GWAS, and discuss potential reasons for the "missing heritability." In addition, progresses of research for the biological mechanisms underlying BD genetic risk using brain tissues, reprogrammed cells, and model animals are reviewed. While our knowledge of BD genetic basis is significantly promoted by these efforts, the complexities of gene regulation in the genome, the spatial-temporal heterogeneity during brain development, and the limitations of different experimental models should always be considered. Notably, several genes have been widely studied given their relatively well-characterized involvement in BD (e.g., CACAN1C and ANK3), and findings of these genes are summarized to both outline possible biological mechanisms of BD and describe examples of translating GWAS discoveries into the pathophysiology.
Collapse
Affiliation(s)
- Chen Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, Sichuan, China. .,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
| |
Collapse
|
41
|
Tamouza R, Krishnamoorthy R, Leboyer M. Understanding the genetic contribution of the human leukocyte antigen system to common major psychiatric disorders in a world pandemic context. Brain Behav Immun 2021; 91:731-739. [PMID: 33031918 PMCID: PMC7534661 DOI: 10.1016/j.bbi.2020.09.033] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/01/2020] [Accepted: 09/30/2020] [Indexed: 12/20/2022] Open
Abstract
The human leukocyte antigen (HLA) is a complex genetic system that encodes proteins which predominantly regulate immune/inflammatory processes. It can be involved in a variety of immuno-inflammatory disorders ranging from infections to autoimmunity and cancers. The HLA system is also suggested to be involved in neurodevelopment and neuroplasticity, especially through microglia regulation and synaptic pruning. Consequently, this highly polymorphic gene region has recently emerged as a major player in the etiology of several major psychiatric disorders, such as schizophrenia, autism spectrum disorder and bipolar disorder and with less evidence for major depressive disorders and attention deficit hyperactivity disorder. We thus review here the role of HLA genes in particular subgroups of psychiatric disorders and foresee their potential implication in future research. In particular, given the prominent role that the HLA system plays in the regulation of viral infection, this review is particularly timely in the context of the Covid-19 pandemic.
Collapse
Affiliation(s)
- Ryad Tamouza
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie Translationnelle, F-94010 Creteil, France; AP-HP, Hopital Henri Mondor, Département Medico-Universitaire de Psychiatrie et d'Addictologie (DMU ADAPT), F-94010, France; Fondation FondaMental, Créteil, France.
| | | | - Marion Leboyer
- Université Paris Est Créteil, INSERM U955, IMRB, Laboratoire Neuro-Psychiatrie Translationnelle, F-94010 Creteil, France; AP-HP, Hopital Henri Mondor, Département Medico-Universitaire de Psychiatrie et d'Addictologie (DMU ADAPT), F-94010, France; Fondation FondaMental, Créteil, France
| |
Collapse
|
42
|
Holland JF, Cosgrove D, Whitton L, Harold D, Corvin A, Gill M, Mothersill DO, Morris DW, Donohoe G. Effects of complement gene-set polygenic risk score on brain volume and cortical measures in patients with psychotic disorders and healthy controls. Am J Med Genet B Neuropsychiatr Genet 2020; 183:445-453. [PMID: 32918526 DOI: 10.1002/ajmg.b.32820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 11/26/2019] [Accepted: 08/12/2020] [Indexed: 12/14/2022]
Abstract
Multiple genome-wide association studies of schizophrenia have reported associations between genetic variants within the MHC region and disease risk, an association that has been partially accounted for by alleles of the complement component 4 (C4) gene. Following on previous findings of association between both C4 and other complement-related variants and memory function, we tested the hypothesis that polygenic scores calculated based on identified schizophrenia risk alleles within the "complement" system would be broadly associated with memory function and associated brain structure. We tested this using a polygenic risk score (PRS) calculated for complement genes, but excluding C4 variants. Higher complement-based PRS scores were observed to be associated with lower memory scores for the sample as a whole (N = 620, F change = 8.25; p = .004). A significant association between higher PRS and lower hippocampal volume was also observed (N = 216, R2 change = 0.016, p = .015). However, after correcting for further testing of association with the more general indices of cortical thickness, surface area or total brain volume, none of which were associated with complement, the association with hippocampal volume became non-significant. A post-hoc analysis of hippocampal subfields suggested an association between complement PRS and several hippocampal subfields, findings that appeared to be particularly driven by the patient sample. In conclusion, our study yielded suggestive evidence of association between complement-based schizophrenia PRS and variation in memory function and hippocampal volume.
Collapse
Affiliation(s)
- Jessica F Holland
- Cognitive Genetics & Cognitive Therapy Group, The Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Donna Cosgrove
- Cognitive Genetics & Cognitive Therapy Group, The Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Laura Whitton
- Cognitive Genetics & Cognitive Therapy Group, The Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Denise Harold
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland.,School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - David O Mothersill
- Cognitive Genetics & Cognitive Therapy Group, The Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Derek W Morris
- Cognitive Genetics & Cognitive Therapy Group, The Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| | - Gary Donohoe
- Cognitive Genetics & Cognitive Therapy Group, The Centre for Neuroimaging, Cognition and Genomics (NICOG), School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Galway, Ireland
| |
Collapse
|
43
|
Chen J, Loukola A, Gillespie NA, Peterson R, Jia P, Riley B, Maes H, Dick DM, Kendler KS, Damaj MI, Miles MF, Zhao Z, Li MD, Vink JM, Minica CC, Willemsen G, Boomsma DI, Qaiser B, Madden PAF, Korhonen T, Jousilahti P, Hällfors J, Gelernter J, Kranzler HR, Sherva R, Farrer L, Maher B, Vanyukov M, Taylor M, Ware JJ, Munafò MR, Lutz SM, Hokanson JE, Gu F, Landi MT, Caporaso NE, Hancock DB, Gaddis NC, Baker TB, Bierut LJ, Johnson EO, Chenoweth M, Lerman C, Tyndale R, Kaprio J, Chen X. Genome-Wide Meta-Analyses of FTND and TTFC Phenotypes. Nicotine Tob Res 2020; 22:900-909. [PMID: 31294817 DOI: 10.1093/ntr/ntz099] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/14/2018] [Indexed: 12/19/2022]
Abstract
INTRODUCTION FTND (Fagerstrӧm test for nicotine dependence) and TTFC (time to smoke first cigarette in the morning) are common measures of nicotine dependence (ND). However, genome-wide meta-analysis for these phenotypes has not been reported. METHODS Genome-wide meta-analyses for FTND (N = 19,431) and TTFC (N = 18,567) phenotypes were conducted for adult smokers of European ancestry from 14 independent cohorts. RESULTS We found that SORBS2 on 4q35 (p = 4.05 × 10-8), BG182718 on 11q22 (p = 1.02 × 10-8), and AA333164 on 14q21 (p = 4.11 × 10-9) were associated with TTFC phenotype. We attempted replication of leading candidates with independent samples (FTND, N = 7010 and TTFC, N = 10 061), however, due to limited power of the replication samples, the replication of these new loci did not reach significance. In gene-based analyses, COPB2 was found associated with FTND phenotype, and TFCP2L1, RELN, and INO80C were associated with TTFC phenotype. In pathway and network analyses, we found that the interconnected interactions among the endocytosis, regulation of actin cytoskeleton, axon guidance, MAPK signaling, and chemokine signaling pathways were involved in ND. CONCLUSIONS Our analyses identified several promising candidates for both FTND and TTFC phenotypes, and further verification of these candidates was necessary. Candidates supported by both FTND and TTFC (CHRNA4, THSD7B, RBFOX1, and ZNF804A) were associated with addiction to alcohol, cocaine, and heroin, and were associated with autism and schizophrenia. We also identified novel pathways involved in cigarette smoking. The pathway interactions highlighted the importance of receptor recycling and internalization in ND. IMPLICATIONS Understanding the genetic architecture of cigarette smoking and ND is critical to develop effective prevention and treatment. Our study identified novel candidates and biological pathways involved in FTND and TTFC phenotypes, and this will facilitate further investigation of these candidates and pathways.
Collapse
Affiliation(s)
- Jingchun Chen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV
| | - Anu Loukola
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Nathan A Gillespie
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Roseann Peterson
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Peilin Jia
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX
| | - Brien Riley
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Hermine Maes
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - Daniella M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA
| | - Kenneth S Kendler
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA
| | - M Imad Damaj
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA
| | - Michael F Miles
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA
| | - Zhongming Zhao
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX
| | - Ming D Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jacqueline M Vink
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands.,Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Camelia C Minica
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands.,Neuroscience Campus Amsterdam, the Netherlands.,EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Gonneke Willemsen
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands.,Neuroscience Campus Amsterdam, the Netherlands.,EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, VU University, the Netherlands.,Neuroscience Campus Amsterdam, the Netherlands.,EMGO+ Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Beenish Qaiser
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | | | - Tellervo Korhonen
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland.,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | | | - Jenni Hällfors
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Joel Gelernter
- Department of Psychiatry, Yale University, New Haven, CT
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Richard Sherva
- Section of Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Lindsay Farrer
- Section of Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Brion Maher
- Department of Mental Health, Johns Hopkins University, Baltimore, MD
| | - Michael Vanyukov
- Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA
| | - Michelle Taylor
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, BS, UK
| | - Jenifer J Ware
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, BS, UK
| | - Marcus R Munafò
- MRC Integrative Epidemiology Unit (IEU) at the University of Bristol, Bristol, BS, UK
| | - Sharon M Lutz
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - John E Hokanson
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Fangyi Gu
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD
| | - Maria T Landi
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD
| | - Neil E Caporaso
- Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD
| | - Dana B Hancock
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC
| | - Nathan C Gaddis
- Research Computing Division, RTI International, Research Triangle Park, NC
| | - Timothy B Baker
- Center for Tobacco Research and Intervention, University of Wisconsin, Madison, WI
| | - Laura J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO
| | - Eric O Johnson
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC.,Fellow Program, RTI International, Research Triangle Park, NC
| | - Meghan Chenoweth
- Centre for Addiction and Mental Health, and Departments of Pharmacology and Toxicology, and Psychiatry, University of Toronto, Toronto, Canada
| | - Caryn Lerman
- Center for Interdisciplinary Research on Nicotine Addiction, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA
| | - Rachel Tyndale
- Centre for Addiction and Mental Health, and Departments of Pharmacology and Toxicology, and Psychiatry, University of Toronto, Toronto, Canada
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, FI, Finland.,Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Xiangning Chen
- Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV.,Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA.,Department of Psychology, University of Nevada Las Vegas, Las Vegas, NV
| |
Collapse
|
44
|
Bigdeli TB, Genovese G, Georgakopoulos P, Meyers JL, Peterson RE, Iyegbe CO, Medeiros H, Valderrama J, Achtyes ED, Kotov R, Stahl EA, Abbott C, Azevedo MH, Belliveau RA, Bevilacqua E, Bromet EJ, Byerley W, Carvalho CB, Chapman SB, DeLisi LE, Dumont AL, O’Dushlaine C, Evgrafov OV, Fochtmann LJ, Gage D, Kennedy JL, Kinkead B, Macedo A, Moran JL, Morley CP, Dewan MJ, Nemesh J, Perkins DO, Purcell SM, Rakofsky JJ, Scolnick EM, Sklar BM, Sklar P, Smoller JW, Sullivan PF, Macciardi F, Marder SR, Gur RC, Gur RE, Braff DL, Nicolini H, Escamilla MA, Vawter MP, Sobell JL, Malaspina D, Lehrer DS, Buckley PF, Rapaport MH, Knowles JA, Fanous AH, Pato MT, McCarroll SA, Pato CN. Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry. Mol Psychiatry 2020; 25:2455-2467. [PMID: 31591465 PMCID: PMC7515843 DOI: 10.1038/s41380-019-0517-y] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 03/01/2019] [Accepted: 04/24/2019] [Indexed: 11/10/2022]
Abstract
Schizophrenia is a common, chronic and debilitating neuropsychiatric syndrome affecting tens of millions of individuals worldwide. While rare genetic variants play a role in the etiology of schizophrenia, most of the currently explained liability is within common variation, suggesting that variation predating the human diaspora out of Africa harbors a large fraction of the common variant attributable heritability. However, common variant association studies in schizophrenia have concentrated mainly on cohorts of European descent. We describe genome-wide association studies of 6152 cases and 3918 controls of admixed African ancestry, and of 1234 cases and 3090 controls of Latino ancestry, representing the largest such study in these populations to date. Combining results from the samples with African ancestry with summary statistics from the Psychiatric Genomics Consortium (PGC) study of schizophrenia yielded seven newly genome-wide significant loci, and we identified an additional eight loci by incorporating the results from samples with Latino ancestry. Leveraging population differences in patterns of linkage disequilibrium, we achieve improved fine-mapping resolution at 22 previously reported and 4 newly significant loci. Polygenic risk score profiling revealed improved prediction based on trans-ancestry meta-analysis results for admixed African (Nagelkerke's R2 = 0.032; liability R2 = 0.017; P < 10-52), Latino (Nagelkerke's R2 = 0.089; liability R2 = 0.021; P < 10-58), and European individuals (Nagelkerke's R2 = 0.089; liability R2 = 0.037; P < 10-113), further highlighting the advantages of incorporating data from diverse human populations.
Collapse
Affiliation(s)
- Tim B. Bigdeli
- grid.262863.b0000 0001 0693 2202Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA ,Department of Psychiatry, Veterans Affairs New York Harbor Healthcare System, Brooklyn, NY USA
| | - Giulio Genovese
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.38142.3c000000041936754XDepartment of Genetics, Harvard Medical School, Boston, MA USA
| | - Penelope Georgakopoulos
- grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA
| | - Jacquelyn L. Meyers
- grid.262863.b0000 0001 0693 2202Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY USA
| | - Roseann E. Peterson
- grid.224260.00000 0004 0458 8737Department of Psychiatry, Virginia Commonwealth University, Richmond, VA USA
| | - Conrad O. Iyegbe
- grid.13097.3c0000 0001 2322 6764Department of Psychosis Studies, King’s College London, London, UK
| | - Helena Medeiros
- grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA
| | - Jorge Valderrama
- grid.262863.b0000 0001 0693 2202Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA
| | - Eric D. Achtyes
- grid.17088.360000 0001 2150 1785Cherry Health and Michigan State University College of Human Medicine, Grand Rapids, MI USA
| | - Roman Kotov
- grid.36425.360000 0001 2216 9681Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - Eli A. Stahl
- grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Genetics & Genomics, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY USA
| | - Colony Abbott
- grid.42505.360000 0001 2156 6853Department of Psychiatry & Behavioral Sciences, University of Southern California, Los Angeles, CA USA
| | - Maria Helena Azevedo
- grid.8051.c0000 0000 9511 4342Institute of Medical Psychology, Faculty of Medicine, University of Coimbra, Coimbra, PT Portugal
| | - Richard A. Belliveau
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | | | - Evelyn J. Bromet
- grid.36425.360000 0001 2216 9681Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - William Byerley
- grid.266102.10000 0001 2297 6811Department of Psychiatry, University of California, San Francisco, CA USA
| | - Celia Barreto Carvalho
- grid.7338.f0000 0001 2096 9474Faculty of Social and Human Sciences, University of Azores, Ponta Delgada, Portugal
| | - Sinéad B. Chapman
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Lynn E. DeLisi
- grid.410370.10000 0004 4657 1992VA Boston Healthcare System, Brockton, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA
| | - Ashley L. Dumont
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Colm O’Dushlaine
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Oleg V. Evgrafov
- grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, NY USA
| | - Laura J. Fochtmann
- grid.36425.360000 0001 2216 9681Department of Psychiatry, Stony Brook University, Stony Brook, NY USA
| | - Diane Gage
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - James L. Kennedy
- grid.17063.330000 0001 2157 2938Neurogenetics Laboratory, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health; Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Becky Kinkead
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA USA
| | - Antonio Macedo
- grid.8051.c0000 0000 9511 4342Institute of Medical Psychology, Faculty of Medicine, University of Coimbra, Coimbra, PT Portugal
| | - Jennifer L. Moran
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Christopher P. Morley
- grid.411023.50000 0000 9159 4457Department of Public Health and Preventive Medicine, State University of New York, Upstate Medical University, Syracuse, NY USA ,grid.411023.50000 0000 9159 4457Department of Family Medicine, State University of New York, Upstate Medical University, Syracuse, NY USA ,grid.411023.50000 0000 9159 4457Department of Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY USA
| | - Mantosh J. Dewan
- grid.411023.50000 0000 9159 4457Department of Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY USA
| | - James Nemesh
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Diana O. Perkins
- grid.410711.20000 0001 1034 1720Department of Psychiatry, University of North Carolina, Chapel Hill, NC USA
| | - Shaun M. Purcell
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.62560.370000 0004 0378 8294Department of Psychiatry, Brigham and Women’s Hospital, Boston, MA USA
| | - Jeffrey J. Rakofsky
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA USA
| | - Edward M. Scolnick
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Brooke M. Sklar
- grid.42505.360000 0001 2156 6853Department of Psychiatry & Behavioral Sciences, University of Southern California, Los Angeles, CA USA
| | - Pamela Sklar
- grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Genetics & Genomics, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY USA
| | - Jordan W. Smoller
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.38142.3c000000041936754XDepartment of Psychiatry, Harvard Medical School, Boston, MA USA ,grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Patrick F. Sullivan
- grid.410711.20000 0001 1034 1720Department of Psychiatry, University of North Carolina, Chapel Hill, NC USA ,grid.465198.7Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, SE Sweden
| | - Fabio Macciardi
- grid.266093.80000 0001 0668 7243Department of Psychiatry and Human Behavior, University of California, Irvine, CA USA
| | - Stephen R. Marder
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Semel Institute for Neuroscience and Human Behavior, Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA USA
| | - Ruben C. Gur
- grid.25879.310000 0004 1936 8972Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Child & Adolescent Psychiatry, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Raquel E. Gur
- grid.25879.310000 0004 1936 8972Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Child & Adolescent Psychiatry, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA USA ,grid.25879.310000 0004 1936 8972Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - David L. Braff
- grid.266100.30000 0001 2107 4242Department of Psychiatry, University of California, La Jolla, San Diego, CA USA ,grid.410371.00000 0004 0419 2708VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, CA USA
| | | | | | - Michael A. Escamilla
- grid.416992.10000 0001 2179 3554Department of Psychiatry, Texas Tech University Health Sciences Center, El Paso, TX USA
| | - Marquis P. Vawter
- grid.266093.80000 0001 0668 7243Department of Psychiatry and Human Behavior, University of California, Irvine, CA USA
| | - Janet L. Sobell
- grid.42505.360000 0001 2156 6853Department of Psychiatry & Behavioral Sciences, University of Southern California, Los Angeles, CA USA
| | - Dolores Malaspina
- grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY USA ,grid.59734.3c0000 0001 0670 2351Department of Genetics & Genomics, Icahn School of Medicine at Mount Sinai, Mount Sinai, NY USA
| | - Douglas S. Lehrer
- grid.268333.f0000 0004 1936 7937Department of Psychiatry, Wright State University, Dayton, OH USA
| | - Peter F. Buckley
- grid.224260.00000 0004 0458 8737School of Medicine, Virginia Commonwealth University, Richmond, VA USA
| | - Mark H. Rapaport
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA USA
| | - James A. Knowles
- grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Department of Cell Biology, SUNY Downstate Medical Center, Brooklyn, NY USA
| | | | - Ayman H. Fanous
- grid.262863.b0000 0001 0693 2202Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA ,Department of Psychiatry, Veterans Affairs New York Harbor Healthcare System, Brooklyn, NY USA
| | - Michele T. Pato
- grid.262863.b0000 0001 0693 2202Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA
| | - Steven A. McCarroll
- grid.66859.34Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.38142.3c000000041936754XDepartment of Genetics, Harvard Medical School, Boston, MA USA
| | - Carlos N. Pato
- grid.262863.b0000 0001 0693 2202Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, NY USA ,grid.262863.b0000 0001 0693 2202Institute for Genomic Health, SUNY Downstate Medical Center, Brooklyn, NY USA
| |
Collapse
|
45
|
Lopes FL, Zhu K, Purves KL, Song C, Ahn K, Hou L, Akula N, Kassem L, Bergen SE, Landen M, Veras AB, Nardi AE, McMahon FJ. Polygenic risk for anxiety influences anxiety comorbidity and suicidal behavior in bipolar disorder. Transl Psychiatry 2020; 10:298. [PMID: 32839438 PMCID: PMC7445247 DOI: 10.1038/s41398-020-00981-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/10/2020] [Accepted: 07/22/2020] [Indexed: 11/08/2022] Open
Abstract
Bipolar disorder is often comorbid with anxiety, which is itself associated with poorer clinical outcomes, including suicide. A better etiologic understanding of this comorbidity could inform diagnosis and treatment. The present study aims to test whether comorbid anxiety in bipolar disorder reflects shared genetic risk factors. We also sought to assess the contribution of genetic risk for anxiety to suicide attempts in bipolar disorder. Polygenic risk scores (PRS) were calculated from published genome-wide association studies of samples of controls and cases with anxiety (n = 83,566) or bipolar disorder (n = 51,710), then scored in independent target samples (total n = 3369) of individuals with bipolar disorder who reported or denied lifetime anxiety disorders or suicidal attempts in research interviews. Participants were recruited from clinical and nonclinical settings and genotyped for common genetic variants. The results show that polygenic risk for anxiety was associated with comorbid anxiety disorders and suicide attempts in bipolar disorder, while polygenic risk for bipolar disorder was not associated with any of these variables. Our findings point out that comorbid anxiety disorders in bipolar disorder reflect a dual burden of bipolar and anxiety-related genes; the latter may also contribute to suicide attempts. Clinical care that recognizes and addresses this dual burden may help improve outcomes in people living with comorbid bipolar and anxiety disorders.
Collapse
Affiliation(s)
- Fabiana L Lopes
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA.
| | - Kevin Zhu
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Kirstin L Purves
- King's College London, Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Christopher Song
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Kwangmi Ahn
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Liping Hou
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Nirmala Akula
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Layla Kassem
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Andre B Veras
- Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Antonio E Nardi
- Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Francis J McMahon
- Intramural Research Program, National Institute of Mental Health, National Institutes of Health, US Department of Health & Human Services, Bethesda, MD, USA
| |
Collapse
|
46
|
Goodman SJ, Burton CL, Butcher DT, Siu MT, Lemire M, Chater-Diehl E, Turinsky AL, Brudno M, Soreni N, Rosenberg D, Fitzgerald KD, Hanna GL, Anagnostou E, Arnold PD, Crosbie J, Schachar R, Weksberg R. Obsessive-compulsive disorder and attention-deficit/hyperactivity disorder: distinct associations with DNA methylation and genetic variation. J Neurodev Disord 2020; 12:23. [PMID: 32799817 PMCID: PMC7429807 DOI: 10.1186/s11689-020-09324-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 07/28/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND A growing body of research has demonstrated associations between specific neurodevelopmental disorders and variation in DNA methylation (DNAm), implicating this molecular mark as a possible contributor to the molecular etiology of these disorders and/or as a novel disease biomarker. Furthermore, genetic risk variants of neurodevelopmental disorders have been found to be enriched at loci associated with DNAm patterns, referred to as methylation quantitative trait loci (mQTLs). METHODS We conducted two epigenome-wide association studies in individuals with attention-deficit/hyperactivity disorder (ADHD) or obsessive-compulsive disorder (OCD) (aged 4-18 years) using DNA extracted from saliva. DNAm data generated on the Illumina Human Methylation 450 K array were used to examine the interaction between genetic variation and DNAm patterns associated with these disorders. RESULTS Using linear regression followed by principal component analysis, individuals with the most endorsed symptoms of ADHD or OCD were found to have significantly more distinct DNAm patterns from controls, as compared to all cases. This suggested that the phenotypic heterogeneity of these disorders is reflected in altered DNAm at specific sites. Further investigations of the DNAm sites associated with each disorder revealed that despite little overlap of these DNAm sites across the two disorders, both disorders were significantly enriched for mQTLs within our sample. CONCLUSIONS Our DNAm data provide insights into the regulatory changes associated with genetic variation, highlighting their potential utility both in directing GWAS and in elucidating the pathophysiology of neurodevelopmental disorders.
Collapse
Affiliation(s)
- Sarah J Goodman
- Genetics and Genome Biology, SickKids Hospital, Toronto, ON, Canada
| | - Christie L Burton
- Neurosciences and Mental Health Program, SickKids Hospital, Toronto, ON, Canada
| | - Darci T Butcher
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada
| | - Michelle T Siu
- Biochemical Genetics Laboratory, Alberta Children's Hospital, Calgary, AB, Canada
| | - Mathieu Lemire
- Neurosciences and Mental Health Program, SickKids Hospital, Toronto, ON, Canada
| | | | - Andrei L Turinsky
- Genetics and Genome Biology, SickKids Hospital, Toronto, ON, Canada
- Centre for Computational Medicine, SickKids Hospital, Toronto, ON, Canada
| | - Michael Brudno
- Genetics and Genome Biology, SickKids Hospital, Toronto, ON, Canada
- Centre for Computational Medicine, SickKids Hospital, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Noam Soreni
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - David Rosenberg
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA
| | - Kate D Fitzgerald
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Gregory L Hanna
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Evdokia Anagnostou
- Holland Bloorview Kids Rehabilitation Hospital Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Paul D Arnold
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
- Departments of Psychiatry and Medical Genetics, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jennifer Crosbie
- Neurosciences and Mental Health Program, SickKids Hospital, Toronto, ON, Canada
| | - Russell Schachar
- Neurosciences and Mental Health Program, SickKids Hospital, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Rosanna Weksberg
- Genetics and Genome Biology, SickKids Hospital, Toronto, ON, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Division of Clinical and Metabolic Genetics, SickKids Hospital, Toronto, ON, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
47
|
Chen J, Zang Z, Braun U, Schwarz K, Harneit A, Kremer T, Ma R, Schweiger J, Moessnang C, Geiger L, Cao H, Degenhardt F, Nöthen MM, Tost H, Meyer-Lindenberg A, Schwarz E. Association of a Reproducible Epigenetic Risk Profile for Schizophrenia With Brain Methylation and Function. JAMA Psychiatry 2020; 77:628-636. [PMID: 32049268 PMCID: PMC7042900 DOI: 10.1001/jamapsychiatry.2019.4792] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
IMPORTANCE Schizophrenia is a severe mental disorder in which epigenetic mechanisms may contribute to illness risk. Epigenetic profiles can be derived from blood cells, but to our knowledge, it is unknown whether these predict established brain alterations associated with schizophrenia. OBJECTIVE To identify an epigenetic signature (quantified as polymethylation score [PMS]) of schizophrenia using machine learning applied to genome-wide blood DNA-methylation data; evaluate whether differences in blood-derived PMS are mirrored in data from postmortem brain samples; test whether the PMS is associated with alterations of dorsolateral prefrontal cortex hippocampal (DLPFC-HC) connectivity during working memory in healthy controls (HC); explore the association between interactions between polygenic and epigenetic risk with DLPFC-HC connectivity; and test the specificity of the signature compared with other serious psychiatric disorders. DESIGN, SETTING, AND PARTICIPANTS In this case-control study conducted from 2008 to 2018 in sites in Germany, the United Kingdom, the United States, and Australia, blood DNA-methylation data from 2230 whole-blood samples from 6 independent cohorts comprising HC (1238 [55.5%]) and participants with schizophrenia (803 [36.0%]), bipolar disorder (39 [1.7%]), major depressive disorder 35 [1.6%]), and autism (27 [1.2%]), and first-degree relatives of all patient groups (88 [3.9%]) were analyzed. DNA-methylation data were further explored from 244 postmortem DLPFC samples from 136 HC and 108 patients with schizophrenia. Neuroimaging and genome-wide association data were available for 393 HC. The latter data was used to calculate a polygenic risk score (PRS) for schizophrenia. The data were analyzed in 2019. MAIN OUTCOMES AND MEASURES The accuracy of schizophrenia control classification based on machine learning using epigenetic data; association of schizophrenia PMS scores with DLPFC-HC connectivity; and association of the interaction between PRS and PMS with DLPFC-HC connectivity. RESULTS This study included 7488 participants (4395 men [58.7%]), of whom 3158 (2230 men [70.6%]) received a diagnosis of schizophrenia. The PMS signature was associated with schizophrenia across 3 independent data sets (area under the curve [AUC] from 0.69 to 0.78; P value from 0.049 to 1.24 × 10-7) and data from postmortem DLPFC samples (AUC = 0.63; P = 1.42 × 10-4), but not with major depressive disorder (AUC = 0.51; P = .16), autism (AUC = 0.53; P = .66), or bipolar disorder (AUC = 0.58; P = .21). Pathways contributing most to the classification included synaptic processes. Healthy controls with schizophrenia-like PMS showed significantly altered DLPFC-HC connectivity (validation methylation/magnetic resonance imaging, t < -3.81; P for familywise error, <.04; validation magnetic resonance imaging, t < -3.54; P for familywise error, <.02), mirroring the lack of functional decoupling in schizophrenia. There was no significant association of the interaction between PMS and PRS with DLPFC-HC connectivity (P > .19). CONCLUSIONS AND RELEVANCE We identified a reproducible blood DNA-methylation signature specific for schizophrenia that was correlated with altered functional DLPFC-HC coupling during working memory and mapped to methylation differences found in DLPFC postmortem samples. This indicates a possible epigenetic contribution to a schizophrenia intermediate phenotype and suggests that PMS could be of interest to be studied in the context of multimodal biomarkers for disease stratification and treatment personalization.
Collapse
Affiliation(s)
- Junfang Chen
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Zhenxiang Zang
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Urs Braun
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Kristina Schwarz
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anais Harneit
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Thomas Kremer
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ren Ma
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Janina Schweiger
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Carolin Moessnang
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lena Geiger
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Han Cao
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Franziska Degenhardt
- School of Medicine & University Hospital Bonn, Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Markus M. Nöthen
- School of Medicine & University Hospital Bonn, Institute of Human Genetics, University of Bonn, Bonn, Germany,Life & Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - Heike Tost
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Emanuel Schwarz
- Central Institute of Mental Health, Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| |
Collapse
|
48
|
Gordovez FJA, McMahon FJ. The genetics of bipolar disorder. Mol Psychiatry 2020; 25:544-559. [PMID: 31907381 DOI: 10.1038/s41380-019-0634-7] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 11/22/2019] [Accepted: 12/11/2019] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BD) is one of the most heritable mental illnesses, but the elucidation of its genetic basis has proven to be a very challenging endeavor. Genome-Wide Association Studies (GWAS) have transformed our understanding of BD, providing the first reproducible evidence of specific genetic markers and a highly polygenic architecture that overlaps with that of schizophrenia, major depression, and other disorders. Individual GWAS markers appear to confer little risk, but common variants together account for about 25% of the heritability of BD. A few higher-risk associations have also been identified, such as a rare copy number variant on chromosome 16p11.2. Large scale next-generation sequencing studies are actively searching for other alleles that confer substantial risk. As our understanding of the genetics of BD improves, there is growing optimism that some clear biological pathways will emerge, providing a basis for future studies aimed at molecular diagnosis and novel therapeutics.
Collapse
Affiliation(s)
- Francis James A Gordovez
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.,College of Medicine, University of the Philippines Manila, 1000, Ermita, Manila, Philippines
| | - Francis J McMahon
- Human Genetics Branch, National Institute of Mental Health Intramural Research Program, Department of Health and Human Services, National Institutes of Health, Bethesda, MD, USA.
| |
Collapse
|
49
|
Genome-wide study of immune biomarkers in cerebrospinal fluid and serum from patients with bipolar disorder and controls. Transl Psychiatry 2020; 10:58. [PMID: 32066700 PMCID: PMC7026056 DOI: 10.1038/s41398-020-0737-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 01/13/2020] [Accepted: 01/20/2020] [Indexed: 01/18/2023] Open
Abstract
Bipolar disorder is a common, chronic psychiatric disorder. Despite high heritability, there is a paucity of identified genetic risk factors. Immune biomarkers are under more direct genetic influence than bipolar disorder. To explore the genetic associations with immune biomarker levels in cerebrospinal fluid (CSF) and blood serum which previously showed differences in bipolar disorder, we performed a study involving 291 individuals (184 bipolar disorder patients and 107 controls). The biomarkers assayed in both CSF and serum were: chitinase-3-like protein-1 (YKL-40), monocyte chemoattractant protein-1 (MCP-1), soluble cluster of differentiation (sCD14), tissue inhibitor of metalloproteinases-1 and 2 (TIMP-1 and TIMP-2). C-reactive protein (CRP) was only quantified in serum, and interleukin 8 (IL-8) measures were only available in CSF. Genome-wide association studies were conducted using PLINK for each of three genotyping waves and incorporated covariates for population substructure, age, sex, and body mass index (BMI). Results were combined by meta-analysis. Genome-wide significant associations were detected for all biomarkers except TIMP-1 and TIMP-2 in CSF. The strongest association in CSF was found for markers within the CNTNAP5 gene with YKL-40 (rs150248456, P = 2.84 × 10-10). The strongest association in serum was also for YKL-40 but localized to the FANCI gene (rs188263039, P = 5.80 × 10-26). This study revealed numerous biologically plausible genetic associations with immune biomarkers in CSF and blood serum. Importantly, the genetic variants regulating immune biomarker levels in CSF and blood serum differ. These results extend our knowledge of how biomarkers showing alterations in bipolar disorder are genetically regulated.
Collapse
|
50
|
Association of HSPA1B genotypes with psychopathology and neurocognition in patients with the first episode of psychosis: a longitudinal 18-month follow-up study. THE PHARMACOGENOMICS JOURNAL 2020; 20:638-646. [DOI: 10.1038/s41397-020-0150-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Revised: 01/20/2020] [Accepted: 01/21/2020] [Indexed: 01/10/2023]
|