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Yang F, Begemann A, Reichhart N, Haeckel A, Steindl K, Schellenberger E, Sturm RF, Barth M, Bassani S, Boonsawat P, Courtin T, Delobel B, Gunning B, Hardies K, Jennesson M, Legoff L, Linnankivi T, Prouteau C, Smal N, Spodenkiewicz M, Toelle SP, Van Gassen K, Van Paesschen W, Verbeek N, Ziegler A, Zweier M, Horn AHC, Sticht H, Lerche H, Weckhuysen S, Strauß O, Rauch A. Missense variants in ANO4 cause sporadic encephalopathic or familial epilepsy with evidence for a dominant-negative effect. Am J Hum Genet 2024; 111:1184-1205. [PMID: 38744284 PMCID: PMC11179416 DOI: 10.1016/j.ajhg.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/16/2024] Open
Abstract
Anoctamins are a family of Ca2+-activated proteins that may act as ion channels and/or phospholipid scramblases with limited understanding of function and disease association. Here, we identified five de novo and two inherited missense variants in ANO4 (alias TMEM16D) as a cause of fever-sensitive developmental and epileptic or epileptic encephalopathy (DEE/EE) and generalized epilepsy with febrile seizures plus (GEFS+) or temporal lobe epilepsy. In silico modeling of the ANO4 structure predicted that all identified variants lead to destabilization of the ANO4 structure. Four variants are localized close to the Ca2+ binding sites of ANO4, suggesting impaired protein function. Variant mapping to the protein topology suggests a preliminary genotype-phenotype correlation. Moreover, the observation of a heterozygous ANO4 deletion in a healthy individual suggests a dysfunctional protein as disease mechanism rather than haploinsufficiency. To test this hypothesis, we examined mutant ANO4 functional properties in a heterologous expression system by patch-clamp recordings, immunocytochemistry, and surface expression of annexin A5 as a measure of phosphatidylserine scramblase activity. All ANO4 variants showed severe loss of ion channel function and DEE/EE associated variants presented mild loss of surface expression due to impaired plasma membrane trafficking. Increased levels of Ca2+-independent annexin A5 at the cell surface suggested an increased apoptosis rate in DEE-mutant expressing cells, but no changes in Ca2+-dependent scramblase activity were observed. Co-transfection with ANO4 wild-type suggested a dominant-negative effect. In summary, we expand the genetic base for both encephalopathic sporadic and inherited fever-sensitive epilepsies and link germline variants in ANO4 to a hereditary disease.
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Affiliation(s)
- Fang Yang
- Experimental Ophthalmology, Department of Ophthalmology, Charité - Universitätsmedizin Berlin, a Corporate Member of Freie Universität, Humboldt-University, the Berlin Institute of Health, Berlin, Germany
| | - Anais Begemann
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Nadine Reichhart
- Experimental Ophthalmology, Department of Ophthalmology, Charité - Universitätsmedizin Berlin, a Corporate Member of Freie Universität, Humboldt-University, the Berlin Institute of Health, Berlin, Germany
| | - Akvile Haeckel
- Institute for Radiology and Children's Radiology, Charité-Universitätsmedizin Berlin, a Corporate Member of Freie Universität, Humboldt-University, the Berlin Institute of Health, Berlin, Germany
| | - Katharina Steindl
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Eyk Schellenberger
- Institute for Radiology and Children's Radiology, Charité-Universitätsmedizin Berlin, a Corporate Member of Freie Universität, Humboldt-University, the Berlin Institute of Health, Berlin, Germany
| | - Ronja Fini Sturm
- Experimental Ophthalmology, Department of Ophthalmology, Charité - Universitätsmedizin Berlin, a Corporate Member of Freie Universität, Humboldt-University, the Berlin Institute of Health, Berlin, Germany
| | - Magalie Barth
- University Hospital of Angers, Department of Genetics, Angers, France
| | - Sissy Bassani
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Paranchai Boonsawat
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Thomas Courtin
- Sorbonne Université, INSERM, CNRS, Institut du Cerveau - Paris Brain Institute - ICM, 75013 Paris, France; Hôpital Pitié-Salpêtrière, DMU BioGe'M, AP-HP, 75013 Paris, France
| | - Bruno Delobel
- Service de Cytogénétique, GH de l'Institut Catholique de Lille, Hopital Saint Vincent de Paul, Lille, France
| | | | - Katia Hardies
- Applied & Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, University of Antwerp, 2610 Antwerp, Belgium
| | | | - Louis Legoff
- University Hospital of Angers, Department of Genetics, Angers, France
| | - Tarja Linnankivi
- Epilepsia Helsinki, University of Helsinki and Helsinki University Hospital, 00029 HUS Helsinki, Finland; Department of Pediatric Neurology and Pediatric Research Center, New Children's Hospital, Helsinki University Hospital and University of Helsinki, 00029 HUS Helsinki, Finland
| | - Clément Prouteau
- University Hospital of Angers, Department of Genetics, Angers, France
| | - Noor Smal
- Applied & Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, University of Antwerp, 2610 Antwerp, Belgium
| | - Marta Spodenkiewicz
- Department of Genetics, La Réunion University Hospital, Saint-Pierre, France
| | - Sandra P Toelle
- Department of Pediatric Neurology, Children's University Hospital Zurich, Zurich, Switzerland
| | - Koen Van Gassen
- University Medical Center Utrecht, Department of Genetics, Utrecht, the Netherlands
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, KU Leuven, and Neurology Department, University Hospitals Leuven, 3000 Leuven, Belgium
| | - Nienke Verbeek
- University Medical Center Utrecht, Department of Genetics, Utrecht, the Netherlands
| | - Alban Ziegler
- University Hospital of Angers, Department of Genetics, Angers, France
| | - Markus Zweier
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland
| | - Anselm H C Horn
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland; Division of Bioinformatics, Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Heinrich Sticht
- Division of Bioinformatics, Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Holger Lerche
- Department of Neurology and Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Sarah Weckhuysen
- Applied & Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, University of Antwerp, 2610 Antwerp, Belgium; Department of Neurology, Antwerp University Hospital, Antwerp, Belgium; Translational Neurosciences, Faculty of Medicine and Health Science, University of Antwerp, 2610 Antwerp, Belgium
| | - Olaf Strauß
- Experimental Ophthalmology, Department of Ophthalmology, Charité - Universitätsmedizin Berlin, a Corporate Member of Freie Universität, Humboldt-University, the Berlin Institute of Health, Berlin, Germany
| | - Anita Rauch
- Institute of Medical Genetics, University of Zurich, Schlieren-Zurich, Switzerland; Children's University Hospital Zurich, Zurich, Switzerland.
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Tesolin P, Santin A, Morgan A, Lenarduzzi S, Rubinato E, Girotto G, Spedicati B. Which Came First? When Usher Syndrome Type 1 Couples with Neuropsychiatric Disorders. Audiol Res 2023; 13:989-995. [PMID: 38131811 PMCID: PMC10740809 DOI: 10.3390/audiolres13060086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/17/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023] Open
Abstract
Usher syndrome (USH) is an autosomal recessive disorder characterized by sensorineural hearing loss (HL), retinopathy, and vestibular areflexia, with variable severity. Although a high prevalence of behavioural and mental disorders in USH patients has been reported, few studies on these psychiatric and psychological issues have been conducted. This work describes the case of a 16-year-old boy affected by congenital bilateral sensorineural HL, presenting a suddenly altered behaviour concomitant with a decrease in visual acuity. To establish a molecular diagnosis, Whole-Exome Sequencing analysis was performed, detecting a pathogenetic homozygous variant (c. 5985C>A, p.(Tyr1995*)) within the CDH23 gene. CDH23 is a known USH type 1 causative gene, recently associated with schizophrenia-like symptoms and bipolar disorders. To date, no studies have provided evidence of a direct genotype-phenotype correlation between USH patients carrying CDH23 variants and mental/behavioural issues; however, considering the multiple biological functions of CDH23, it can be hypothesised that it could have a pleiotropic effect. Overall, this study highlights the relevance of a continuous clinical evaluation of USH patients, to monitor not only the disease progression, but to early detect any psychological or behavioural alterations, thus allowing a rapid implementation of therapeutic strategies aimed at improving their quality of life and well-being.
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Affiliation(s)
- Paola Tesolin
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (P.T.); (G.G.); (B.S.)
| | - Aurora Santin
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (P.T.); (G.G.); (B.S.)
| | - Anna Morgan
- Institute for Maternal and Child Health—I.R.C.C.S. “Burlo Garofolo”, 34137 Trieste, Italy (S.L.); (E.R.)
| | - Stefania Lenarduzzi
- Institute for Maternal and Child Health—I.R.C.C.S. “Burlo Garofolo”, 34137 Trieste, Italy (S.L.); (E.R.)
| | - Elisa Rubinato
- Institute for Maternal and Child Health—I.R.C.C.S. “Burlo Garofolo”, 34137 Trieste, Italy (S.L.); (E.R.)
| | - Giorgia Girotto
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (P.T.); (G.G.); (B.S.)
- Institute for Maternal and Child Health—I.R.C.C.S. “Burlo Garofolo”, 34137 Trieste, Italy (S.L.); (E.R.)
| | - Beatrice Spedicati
- Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (P.T.); (G.G.); (B.S.)
- Institute for Maternal and Child Health—I.R.C.C.S. “Burlo Garofolo”, 34137 Trieste, Italy (S.L.); (E.R.)
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Castellini G, Merola GP, Baccaredda Boy O, Pecoraro V, Bozza B, Cassioli E, Rossi E, Bessi V, Sorbi S, Nacmias B, Ricca V. Emotional dysregulation, alexithymia and neuroticism: a systematic review on the genetic basis of a subset of psychological traits. Psychiatr Genet 2023; 33:79-101. [PMID: 36729042 PMCID: PMC10158611 DOI: 10.1097/ypg.0000000000000335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 11/24/2022] [Indexed: 02/03/2023]
Abstract
Neuroticism, alexithymia and emotion dysregulation are key traits and known risk factors for several psychiatric conditions. In this systematic review, the aim is to evaluate the genetic contribution to these psychological phenotypes. A systematic review of articles found in PubMed was conducted. Search terms included 'genetic', 'GWAS', 'neuroticism', 'alexithymia' and 'emotion dysregulation'. Risk of bias was assessed utilizing the STREGA checklist. Two hundred two papers were selected from existing literature based on the inclusion and exclusion criteria. Among these, 27 were genome-wide studies and 175 were genetic association studies. Single gene association studies focused on selected groups of genes, mostly involved in neurotransmission, with conflicting results. GWAS studies on neuroticism, on the other hand, found several relevant and replicated intergenic and intronic loci affecting the expression and regulation of crucial and well-known genes (such as DRD2 and CRHR1). Mutations in genes coding for trascriptional factors were also found to be associated with neuroticism (DCC, XKR6, TCF4, RBFOX1), as well as a noncoding regulatory RNA (LINC00461). On the other hand, little GWAS data are available on alexythima and emotional dysregulation.
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Affiliation(s)
| | | | | | | | | | | | | | - Valentina Bessi
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
| | - Benedetta Nacmias
- Neurology Unit, Department of Health Sciences, University of Florence, Florence, Italy
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Rovný R, Marko M, Michalko D, Mitka M, Cimrová B, Vančová Z, Jarčušková D, Dragašek J, Minárik G, Riečanský I. BDNF Val66Met polymorphism is associated with consolidation of episodic memory during sleep. Biol Psychol 2023; 179:108568. [PMID: 37075935 DOI: 10.1016/j.biopsycho.2023.108568] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 04/12/2023] [Accepted: 04/16/2023] [Indexed: 04/21/2023]
Abstract
The brain-derived neurotrophic factor (BDNF) is an essential regulator of synaptic plasticity, a candidate neurobiological mechanism underlying learning and memory. A functional polymorphism in the BDNF gene, Val66Met (rs6265), has been linked to memory and cognition in healthy individuals and clinical populations. Sleep contributes to memory consolidation, yet information about the possible role of BDNF in this process is scarce. To address this question, we investigated the relationship between the BDNF Val66Met genotype and consolidation of episodic declarative and procedural (motor) non-declarative memories in healthy adults. The carriers of Met66 allele, as compared with Val66 homozygotes, showed stronger forgetting overnight (24hours after encoding), but not over shorter time (immediately or 20minutes after word list presentation). There was no effect of Val66Met genotype on motor learning. These data suggest that BDNF plays a role in neuroplasticity underlying episodic memory consolidation during sleep.
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Affiliation(s)
- Rastislav Rovný
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Martin Marko
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Drahomír Michalko
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Milan Mitka
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Barbora Cimrová
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zuzana Vančová
- 1st Department of Psychiatry, Faculty of Medicine, Pavol Jozef Šafárik University and University Hospital, Košice, Slovakia
| | - Dominika Jarčušková
- 1st Department of Psychiatry, Faculty of Medicine, Pavol Jozef Šafárik University and University Hospital, Košice, Slovakia
| | - Jozef Dragašek
- 1st Department of Psychiatry, Faculty of Medicine, Pavol Jozef Šafárik University and University Hospital, Košice, Slovakia
| | | | - Igor Riečanský
- Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia; Department of Psychiatry, Faculty of Medicine, Slovak Medical University, Bratislava, Slovakia.
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ANO4 Expression Is a Potential Prognostic Biomarker in Non-Metastasized Clear Cell Renal Cell Carcinoma. J Pers Med 2023; 13:jpm13020295. [PMID: 36836529 PMCID: PMC9965005 DOI: 10.3390/jpm13020295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/28/2023] [Accepted: 02/02/2023] [Indexed: 02/10/2023] Open
Abstract
Background: Over the past decade, transcriptome profiling has elucidated many pivotal pathways involved in oncogenesis. However, a detailed comprehensive map of tumorigenesis remains an enigma to solve. Propelled research has been devoted to investigating the molecular drivers of clear cell renal cell carcinoma (ccRCC). To add another piece to the puzzle, we evaluated the role of anoctamin 4 (ANO4) expression as a potential prognostic biomarker in non-metastasized ccRCC. Methods: A total of 422 ccRCC patients with the corresponding ANO4 expression and clinicopathological data were obtained from The Cancer Genome Atlas Program (TCGA). Differential expression across several clinicopathological variables was performed. The Kaplan-Meier method was used to assess the impact of ANO4 expression on the overall survival (OS), progression-free interval (PFI), disease-free interval (DFI), and disease-specific survival (DSS). Univariate and multivariate Cox logistic regression analyses were conducted to identify independent factors modulating the aforementioned outcomes. Gene set enrichment analysis (GSEA) was used to discern a set of molecular mechanisms involved in the prognostic signature. Tumor immune microenvironment was estimated using xCell. Results: ANO4 expression was upregulated in tumor samples compared to normal kidney tissue. Albeit the latter finding, low ANO4 expression is associated with advanced clinicopathological variables such as tumor grade, stage, and pT. In addition, low ANO4 expression is linked to shorter OS, PFI, and DSS. Multivariate Cox logistic regression analysis identified ANO4 expression as an independent prognostic variable in OS (HR: 1.686, 95% CI: 1.120-2.540, p = 0.012), PFI (HR: 1.727, 95% CI: 1.103-2.704, p = 0.017), and DSS (HR: 2.688, 95% CI: 1.465-4.934, p = 0.001). GSEA identified the following pathways to be enriched within the low ANO4 expression group: epithelial-mesenchymal transition, G2-M checkpoint, E2F targets, estrogen response, apical junction, glycolysis, hypoxia, coagulation, KRAS, complement, p53, myogenesis, and TNF-α signaling via NF-κB pathways. ANO4 expression correlates significantly with monocyte (ρ = -0.1429, p = 0.0033) and mast cell (ρ = 0.1598, p = 0.001) infiltration. Conclusions: In the presented work, low ANO4 expression is portrayed as a potential poor prognostic factor in non-metastasized ccRCC. Further experimental studies should be directed to shed new light on the exact molecular mechanisms involved.
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The molecular genetic basis of creativity: a mini review and perspectives. PSYCHOLOGICAL RESEARCH 2023; 87:1-16. [PMID: 35217895 DOI: 10.1007/s00426-022-01649-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 01/16/2022] [Indexed: 01/27/2023]
Abstract
Although creativity is one of the defining features of human species, it is just the beginning of an ambitious attempt for psychologists to understand its genetic basis. With ongoing efforts, great progress has been achieved in molecular genetic studies of creativity. In this mini review, we highlighted recent molecular genetic findings for both domain-general and domain-specific creativity, and provided some perspectives for future studies. It is expected that this work will provide an update on the knowledge regarding the molecular genetic basis of creativity, and contribute to the further development of this field.
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Analysis of personality traits' correlation to facial width-to-height ratio (fWHR) and mandibular line angle based on 16 personality factor in Chinese college students. PLoS One 2022; 17:e0278201. [PMID: 36477722 PMCID: PMC9728930 DOI: 10.1371/journal.pone.0278201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 11/09/2022] [Indexed: 12/13/2022] Open
Abstract
Facial appearance reveals clues about personality. Studies have found that facial width-to-height ratio (fWHR) correlates with some personality traits, and mandibular morphology as a potential facial feature that might have correlation with personality traits. Therefore, a face recognition study was carried out to explore the personality traits' correlation to both fWHR and bilateral mandibular line angles. Specifically, face images of 904 college students in China were collected and measured, with the personality traits evaluated using the 16 Personality Factor Questionnaire. Analyses revealed that the average bilateral mandibular line angle of the male were significantly more extensive than that of the female, while the fWHR of the female was significantly more extensive than that of the male. We found facial features (fWHR and average bilateral mandibular line angle) were correlated with 16PF in the canonical correlation analysis and the loadings of bilateral mandibular line angles were greater than that of fWHR. The fWHR was significantly negatively correlated with the scores of sensitivity and self-reliance in male but none of the factors related to fWHR in female. The bilateral mandibular line angles were significantly negatively correlated with the scores of social boldness in male, and were significantly negatively correlated with the scores of vigilance and apprehension in female. Over all, the correlations between fWHR, average bilateral mandibular line angle and certain 16PF factors in male and female tend to be different, suggesting that such correlations might vary with gender. In the future, mandibular morphology could be selected as a potential indicator in facial perception. The limitations of this study were the participants were limited to 18-30 years of age and the mandibular morphology was not measured with anthropometry, which could be further improved in future studies.
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van der Walt K, Campbell M, Stein DJ, Dalvie S. Systematic review of genome-wide association studies of anxiety disorders and neuroticism. World J Biol Psychiatry 2022; 24:280-291. [PMID: 35815422 DOI: 10.1080/15622975.2022.2099970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
OBJECTIVES To summarise SNP associations identified by genome-wide association studies (GWASs) of anxiety disorders and neuroticism; to appraise the quality of individual studies, and to assess the ancestral diversity of study participants. METHODS We searched PubMed, Scopus, PsychInfo and PubPsych for GWASs of anxiety disorders, non-diagnostic traits (such as anxiety sensitivity), and neuroticism, and extracted all SNPs that surpassed genome-wide significance. We graded study quality using Q-genie scores and reviewed the ancestral diversity of included participants. RESULTS 32 studies met our inclusion criteria. A total of 563 independent significant variants were identified, of which 29 were replicated nominally in independent samples, and 3 were replicated significantly. The studies had good global quality, but many smaller studies were underpowered. Phenotypic heterogeneity for anxiety (and less so for neuroticism) seemed to reflect the complexity of capturing this trait. Ancestral diversity was poor, with 70% of studies including only populations of European ancestry. CONCLUSION The functionality of genes identified by GWASs of anxiety and neuroticism deserves further investigation. Future GWASs should have larger sample sizes, more rigorous phenotyping and include more ancestrally diverse population groups.
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Affiliation(s)
- Kristien van der Walt
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Megan Campbell
- MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics. Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.,Global Initiative for Neuropsychiatric Genetics Education in Research (GINGER) program, Harvard T.H. Chan School of Public Health and the Stanley Center for Psychiatric Research at the Broad Institute of Harvard and MIT, Boston, Massachusetts, USA
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Shareefa Dalvie
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.,Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa.,Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Cape Town
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Polymodal Control of TMEM16x Channels and Scramblases. Int J Mol Sci 2022; 23:ijms23031580. [PMID: 35163502 PMCID: PMC8835819 DOI: 10.3390/ijms23031580] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/20/2022] [Accepted: 01/20/2022] [Indexed: 02/01/2023] Open
Abstract
The TMEM16A/anoctamin-1 calcium-activated chloride channel (CaCC) contributes to a range of vital functions, such as the control of vascular tone and epithelial ion transport. The channel is a founding member of a family of 10 proteins (TMEM16x) with varied functions; some members (i.e., TMEM16A and TMEM16B) serve as CaCCs, while others are lipid scramblases, combine channel and scramblase function, or perform additional cellular roles. TMEM16x proteins are typically activated by agonist-induced Ca2+ release evoked by Gq-protein-coupled receptor (GqPCR) activation; thus, TMEM16x proteins link Ca2+-signalling with cell electrical activity and/or lipid transport. Recent studies demonstrate that a range of other cellular factors—including plasmalemmal lipids, pH, hypoxia, ATP and auxiliary proteins—also control the activity of the TMEM16A channel and its paralogues, suggesting that the TMEM16x proteins are effectively polymodal sensors of cellular homeostasis. Here, we review the molecular pathophysiology, structural biology, and mechanisms of regulation of TMEM16x proteins by multiple cellular factors.
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10
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Leitzke S, Seidel J, Ahrens B, Schreiber R, Kunzelmann K, Sperrhacke M, Bhakdi S, Reiss K. Influence of Anoctamin-4 and -9 on ADAM10 and ADAM17 Sheddase Function. MEMBRANES 2022; 12:membranes12020123. [PMID: 35207044 PMCID: PMC8879676 DOI: 10.3390/membranes12020123] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/18/2022] [Accepted: 01/19/2022] [Indexed: 02/04/2023]
Abstract
Ca2+-activated Cl− channels (TMEM16, also known as anoctamins) perform important functions in cell physiology, including modulation of cell proliferation and cancer growth. Many members, including TMEM16F/ANO6, additionally act as Ca2+-activated phospholipid scramblases. We recently presented evidence that ANO6-dependent surface exposure of phosphatidylserine (PS) is pivotal for the disintegrin-like metalloproteases ADAM10 and ADAM17 to exert their sheddase function. Here, we compared the influence of seven ANO family members (ANO1, 4, 5, 6, 7, 9, and 10) on ADAM sheddase activity. Similar to ANO6, overexpression of ANO4 and ANO9 led to increased release of ADAM10 and ADAM17 substrates, such as betacellulin, TGFα, and amphiregulin (AREG), upon ionophore stimulation in HEK cells. Inhibitor experiments indicated that ANO4/ANO9-mediated enhancement of TGFα-cleavage broadened the spectrum of participating metalloproteinases. Annexin V-staining demonstrated increased externalisation of PS in ANO4/ANO9-overexpressing cells. Competition experiments with the soluble PS-headgroup phosphorylserine indicated that the ANO4/ANO9 effects were due to increased PS exposure. Overexpression of ANO4 or ANO9 in human cervical cancer cells (HeLa), enhanced constitutive shedding of the growth factor AREG and increased cell proliferation. We conclude that ANO4 and ANO9, by virtue of their scramblase activity, may play a role as important regulators of ADAM-dependent cellular functions.
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Affiliation(s)
- Sinje Leitzke
- Department of Dermatology, University of Kiel, 24105 Kiel, Germany; (S.L.); (J.S.); (B.A.); (M.S.)
| | - Jana Seidel
- Department of Dermatology, University of Kiel, 24105 Kiel, Germany; (S.L.); (J.S.); (B.A.); (M.S.)
| | - Björn Ahrens
- Department of Dermatology, University of Kiel, 24105 Kiel, Germany; (S.L.); (J.S.); (B.A.); (M.S.)
| | - Rainer Schreiber
- Physiological Institute, University of Regensburg, Universitätsstraße 31, 93053 Regensburg, Germany; (R.S.); (K.K.)
| | - Karl Kunzelmann
- Physiological Institute, University of Regensburg, Universitätsstraße 31, 93053 Regensburg, Germany; (R.S.); (K.K.)
| | - Maria Sperrhacke
- Department of Dermatology, University of Kiel, 24105 Kiel, Germany; (S.L.); (J.S.); (B.A.); (M.S.)
| | | | - Karina Reiss
- Department of Dermatology, University of Kiel, 24105 Kiel, Germany; (S.L.); (J.S.); (B.A.); (M.S.)
- Correspondence:
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A Common CDH13 Variant Is Associated with Low Agreeableness and Neural Responses to Working Memory Tasks in ADHD. Genes (Basel) 2021; 12:genes12091356. [PMID: 34573337 PMCID: PMC8471784 DOI: 10.3390/genes12091356] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/26/2021] [Accepted: 08/26/2021] [Indexed: 11/17/2022] Open
Abstract
The cell—cell signaling gene CDH13 is associated with a wide spectrum of neuropsychiatric disorders, including attention-deficit/hyperactivity disorder (ADHD), autism, and major depression. CDH13 regulates axonal outgrowth and synapse formation, substantiating its relevance for neurodevelopmental processes. Several studies support the influence of CDH13 on personality traits, behavior, and executive functions. However, evidence for functional effects of common gene variation in the CDH13 gene in humans is sparse. Therefore, we tested for association of a functional intronic CDH13 SNP rs2199430 with ADHD in a sample of 998 adult patients and 884 healthy controls. The Big Five personality traits were assessed by the NEO-PI-R questionnaire. Assuming that altered neural correlates of working memory and cognitive response inhibition show genotype-dependent alterations, task performance and electroencephalographic event-related potentials were measured by n-back and continuous performance (Go/NoGo) tasks. The rs2199430 genotype was not associated with adult ADHD on the categorical diagnosis level. However, rs2199430 was significantly associated with agreeableness, with minor G allele homozygotes scoring lower than A allele carriers. Whereas task performance was not affected by genotype, a significant heterosis effect limited to the ADHD group was identified for the n-back task. Heterozygotes (AG) exhibited significantly higher N200 amplitudes during both the 1-back and 2-back condition in the central electrode position Cz. Consequently, the common genetic variation of CDH13 is associated with personality traits and impacts neural processing during working memory tasks. Thus, CDH13 might contribute to symptomatic core dysfunctions of social and cognitive impairment in ADHD.
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12
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Gyorik D, Eszlari N, Gal Z, Torok D, Baksa D, Kristof Z, Sutori S, Petschner P, Juhasz G, Bagdy G, Gonda X. Every Night and Every Morn: Effect of Variation in CLOCK Gene on Depression Depends on Exposure to Early and Recent Stress. Front Psychiatry 2021; 12:687487. [PMID: 34512413 PMCID: PMC8428175 DOI: 10.3389/fpsyt.2021.687487] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/30/2021] [Indexed: 12/21/2022] Open
Abstract
The role of circadian dysregulation is increasingly acknowledged in the background of depressive symptoms, and is also a promising treatment target. Similarly, stress shows a complex relationship with the circadian system. The CLOCK gene, encoding a key element in circadian regulation has been implicated in previous candidate variant studies in depression with contradictory findings, and only a few such studies considered the interacting effects of stress. We investigated the effect of CLOCK variation with a linkage-disequilibrium-based clumping method, in interaction with childhood adversities and recent negative life events, on two phenotypes of depression, lifetime depression and current depressive symptoms in a general population sample. Methods: Participants in NewMood study completed questionnaires assessing childhood adversities and recent negative life events, the Brief Symptom Inventory to assess current depressive symptoms, provided data on lifetime depression, and were genotyped for 1054 SNPs in the CLOCK gene, 370 of which survived quality control and were entered into linear and logistic regression models with current depressive symptoms and lifetime depression as the outcome variable, and childhood adversities or recent life events as interaction variables followed by a linkage disequilibrium-based clumping process to identify clumps of SNPs with a significant main or interaction effect. Results: No significant clumps with a main effect were found. In interaction with recent life events a significant clump containing 94 SNPs with top SNP rs6825994 for dominant and rs6850524 for additive models on current depression was identified, while in interaction with childhood adversities on current depressive symptoms, two clumps, both containing 9 SNPs were found with top SNPs rs6828454 and rs711533. Conclusion: Our findings suggest that CLOCK contributes to depressive symptoms, but via mediating the effects of early adversities and recent stressors. Given the increasing burden on circadian rhythmicity in the modern lifestyle and our expanding insight into the contribution of circadian disruption in depression especially as a possible mediator of stress, our results may pave the way for identifying those who would be at an increased risk for depressogenic effects of circadian dysregulation in association with stress as well as new molecular targets for intervention in stress-related psychopathologies in mood disorders.
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Affiliation(s)
- Dorka Gyorik
- Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
| | - Nora Eszlari
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
- NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Zsofia Gal
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
| | - Dora Torok
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
| | - Daniel Baksa
- NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
- SE-NAP-2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
| | - Zsuliet Kristof
- Doctoral School of Mental Health Sciences, Semmelweis University, Budapest, Hungary
- Laboratory of Molecular Pharmacology, Institute of Experimental Medicine, Hungarian Academy of Sciences, Budapest, Hungary
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Sara Sutori
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
| | - Peter Petschner
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - Gabriella Juhasz
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
- SE-NAP-2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - Gyorgy Bagdy
- Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University, Budapest, Hungary
- NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
| | - Xenia Gonda
- NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
- MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University, Budapest, Hungary
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13
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Prediction of Functional Consequences of Missense Mutations in ANO4 Gene. Int J Mol Sci 2021; 22:ijms22052732. [PMID: 33800471 PMCID: PMC7962975 DOI: 10.3390/ijms22052732] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 11/16/2022] Open
Abstract
The anoctamin (TMEM16) family of transmembrane protein consists of ten members in vertebrates, which act as Ca2+-dependent ion channels and/or Ca2+-dependent scramblases. ANO4 which is primarily expressed in the CNS and certain endocrine glands, has been associated with various neuronal disorders. Therefore, we focused our study on prioritizing missense mutations that are assumed to alter the structure and stability of ANO4 protein. We employed a wide array of evolution and structure based in silico prediction methods to identify potentially deleterious missense mutations in the ANO4 gene. Identified pathogenic mutations were then mapped to the modeled human ANO4 structure and the effects of missense mutations were studied on the atomic level using molecular dynamics simulations. Our data show that the G80A and A500T mutations significantly alter the stability of the mutant proteins, thus providing new perspective on the role of missense mutations in ANO4 gene. Results obtained in this study may help to identify disease associated mutations which affect ANO4 protein structure and function and might facilitate future functional characterization of ANO4.
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14
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The influence of X chromosome variants on trait neuroticism. Mol Psychiatry 2021; 26:483-491. [PMID: 30842574 PMCID: PMC7850965 DOI: 10.1038/s41380-019-0388-2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 01/29/2019] [Accepted: 02/14/2019] [Indexed: 12/26/2022]
Abstract
Autosomal variants have successfully been associated with trait neuroticism in genome-wide analysis of adequately powered samples. But such studies have so far excluded the X chromosome from analysis. Here, we report genetic association analyses of X chromosome and XY pseudoautosomal single nucleotide polymorphisms (SNPs) and trait neuroticism using UK Biobank samples (N = 405,274). Significant association was found with neuroticism on the X chromosome for 204 markers found within three independent loci (a further 783 were suggestive). Most of the lead neuroticism-related X chromosome variants were located in intergenic regions (n = 397). Involvement of HS6ST2, which has been previously associated with sociability behaviour in the dog, was supported by single SNP and gene-based tests. We found that the amino acid and nucleotide sequences are highly conserved between dogs and humans. From the suggestive X chromosome variants, there were 19 nearby genes which could be linked to gene ontology information. Molecular function was primarily related to binding and catalytic activity; notable biological processes were cellular and metabolic, and nucleic acid binding and transcription factor protein classes were most commonly involved. X-variant heritability of neuroticism was estimated at 0.22% (SE = 0.05) from a full dosage compensation model. A polygenic X-variant score created in an independent sample (maximum N ≈ 7,300) did not predict significant variance in neuroticism, psychological distress, or depressive disorder. We conclude that the X chromosome harbours significant variants influencing neuroticism, and might prove important for other quantitative traits and complex disorders.
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15
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Song L, Zhou Z, Meng J, Zhu X, Wang K, Wei D, Qiu J. Rostral middle frontal gyrus thickness mediates the relationship between genetic risk and neuroticism trait. Psychophysiology 2020; 58:e13728. [PMID: 33226147 DOI: 10.1111/psyp.13728] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 10/04/2020] [Accepted: 10/26/2020] [Indexed: 12/12/2022]
Abstract
Neuroticism is a robust personality trait associated with multiple mental disorders. Heretofore, research on the relationship among genes, brain, and behavior to explore individual differences in neuroticism is scarce. Hence, in this study (N = 630), genetic data, self-reported neuroticism, and brain structural data were combined to explore whether the cortical thickness (CT) of brain regions mediated the relationship between the polygenic risk score (PRS) of neuroticism and NEO neuroticism (NEO-N), and the enrichment analysis was performed to reveal the underlying mechanism of their relationship. Results showed that the PRSs were significantly associated with NEO-N scores (p < .05). The CT of left rostral middle frontal gyrus was negatively related to the best PRS in PRSice (PRSbest ) or the PRS at 0.05 threshold (PRS0.05 ) (corrected p < .05), which was also found to mediate the association between the PRS and NEO-N (PRSbest : ab = .012, p < .05; PRS0.05 : ab = .012, p < .05). Enrichment analysis revealed that these genes were mainly involved in biological adhesion, cell adhesion, neuron part, and synapse part, which were associated with the abnormal thickness of frontal cortex. By integrating genetic, brain imaging, and behavioral data, our research initially revealed the neurogenetic underpinnings of neuroticism, which is helpful for understanding individual differences in neuroticism.
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Affiliation(s)
- Li Song
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China
| | - Zheyi Zhou
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China
| | - Jie Meng
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China
| | - Xingxing Zhu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China
| | - Kangcheng Wang
- School of psychology, Shandong Normal University, Shandong, China
| | - Dongtao Wei
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China.,Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Beijing, China
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16
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Haslam N. Unicorns, snarks, and personality types: A review of the first 102 taxometric studies of personality. AUSTRALIAN JOURNAL OF PSYCHOLOGY 2020. [DOI: 10.1111/ajpy.12228] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Nick Haslam
- Department of Psychology, University of Melbourne, Melbourne, Victoria, Australia,
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17
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Pocnet C, Popp J, Jopp D. The power of personality in successful ageing: a comprehensive review of larger quantitative studies. Eur J Ageing 2020; 18:269-285. [PMID: 34220406 DOI: 10.1007/s10433-020-00575-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
In this paper, we highlighted links between personality traits and successful ageing through a systematic review of recent empirical studies. Particularly, we addressed the question of whether personality traits are related to successful ageing and, if so, why and how? Answers to this question provided, for example, arguments that supported personality's role in planning an individual's future based on self-knowledge, thereby contributing to a sense of identity throughout their life. Then, considering longitudinal studies, we examined whether personality is stable over one's life course, or does it change and, if so, why and under what conditions? Answers to this question gave substance to the idea that a stable personality allows for continuous and consistent development. In addition, certain personality changes are likely to allow an individual to develop the resilience to better adapt to life's challenges. Therefore, the arguments brought by these two questions can help clarify the modulating role of personality for successful ageing via health and well-being outcomes. These insights may contribute to the development of new prevention approaches, more focused on inter- and intraindividual differences, to promote successful ageing.
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Affiliation(s)
- Cornelia Pocnet
- Department of Psychiatry, University Hospital Service of Old Age Psychiatry, CHUV, Lausanne, Switzerland
- Geriatric Psychiatry, Department of Psychiatry, Geneva University Hospitals, Geneva, Switzerland
| | - Julius Popp
- Department of Psychiatry, University Hospital Service of Old Age Psychiatry, CHUV, Lausanne, Switzerland
- Department of Geriatric Psychiatry, Centre for Gerontopsychiatric Medicine, University Hospital of Psychiatry Zurich, Zurich, Switzerland
| | - Daniela Jopp
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland
- Swiss National Centre of Competence in Research LIVES (NCCRs), University of Lausanne, Lausanne, Switzerland
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18
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Bubac CM, Miller JM, Coltman DW. The genetic basis of animal behavioural diversity in natural populations. Mol Ecol 2020; 29:1957-1971. [PMID: 32374914 DOI: 10.1111/mec.15461] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/17/2020] [Accepted: 05/01/2020] [Indexed: 12/30/2022]
Abstract
Individual differences in animal behaviour influence ecological and evolutionary processes. Much behavioural variation has a heritable component, suggesting that genetics may play a role in its development. Yet, the study of the mechanistic description linking genes to behaviour in nature remains in its infancy, and such research is considered a challenge in contemporary biology. Here, we performed a literature review and meta-analysis to assess trends in analytical approaches used to investigate the relationship between genes and behaviour in natural systems, specifically candidate gene approaches, quantitative trait locus (QTL) mapping, and genome-wide association studies (GWAS). We aimed to determine the efficacy and success of each approach, while also describing which behaviours and species were examined by researchers most often. We found that the majority of QTL mapping and GWAS results revealed a significant or suggestive effect (Zr = 0.3 [95% CI: 0.25:0.35] and Zr = 0.39 [0.33:0.46], respectively) between the trait of interest and genetic marker(s) tested, while over half of candidate gene accounts (Zr = 0.16 [0.11:0.21]) did not find a significant association. Approximately a third of all study estimates investigated animal personality traits; though, reproductive and migratory behaviours were also well-represented. Our findings show that despite widespread accessibility of molecular approaches given current sequencing technologies, efforts to elucidate the genetic basis of behaviour in free-ranging systems has been limited to relatively few species. We discuss challenges encountered by researchers, and recommend integration of novel genomic methods with longitudinal studies to usher in the next wave of behavioural genomic research.
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Affiliation(s)
- Christine M Bubac
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Joshua M Miller
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - David W Coltman
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
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19
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A study combining whole-exome sequencing and structural neuroimaging analysis for major depressive disorder. J Affect Disord 2020; 262:31-39. [PMID: 31706157 DOI: 10.1016/j.jad.2019.10.039] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 10/01/2019] [Accepted: 10/27/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Genetic variations associated with major depressive disorder (MDD) may affect the structural aspects of neural networks mediated by the molecular pathways involved in neuronal survival and synaptic plasticity. However, few studies have applied a novel approach such as whole-exome sequencing (WES) analysis to investigate the genetic contribution to the neurostructural changes in MDD. METHODS In the first part of the study, we investigated rare variants of selected genes from previous WES studies using a WES analysis in 184 patients with MDD and 82 healthy controls. In the second part of the study, we explored the association between the common genetic variants from the WES analysis and cortical thickness in 91 patients with MDD and 75 healthy controls. The gray-matter thickness of each cortical region was measured using FreeSurfer. RESULTS We identified recurrent non-silent variants in 24 MDD-related genes including FASN, MYH13, UNC13D, LILRA1, CACNA1B, TRIO, HOMER3, and BCAR3, and observed eleven recurrently altered copy number alternations where a gain on 15q11.2 and losses on 7q34 and 15q11.1-q11.2 in MDD genomes. We also found that rs11592462 in CDH23, a calcium-dependent cell-adhesion molecule encoding gene, was significantly associated with thinning in the right anterior cingulate cortex. LIMITATION The small sample size may lead our findings to be underpowered regarding rare variants. CONCLUSION The present study identified that non-synonymous rare variants were significantly associated with risk of MDD and found that genetic contributions to the development of MDD may be mediated by alterations in cortical thickness of emotion-processing neural circuits.
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20
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Han MR, Han KM, Kim A, Kang W, Kang Y, Kang J, Won E, Tae WS, Cho Y, Ham BJ. Whole-exome sequencing identifies variants associated with structural MRI markers in patients with bipolar disorders. J Affect Disord 2019; 249:159-168. [PMID: 30772743 DOI: 10.1016/j.jad.2019.02.028] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 01/29/2019] [Accepted: 02/10/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is one of the most heritable psychiatric disorders. A growing number of whole-exome sequencing (WES) studies for BD has been performed, however, no research has examined the association between single nucleotide variants (SNVs) from WES and structural magnetic resonance imaging (MRI) data. METHODS We sequenced whole-exomes in 53 patients with BD and 82 healthy control participants at an initial discovery stage and investigated the impacts of SNVs in risk genes from WES analysis on the cortical gray-matter thickness and integrity of white matter tracts and in the following stage. Cortical thickness and white matter integrity were investigated using the FreeSurfer and TRACULA (Tracts Constrained by UnderLying Anatomy). RESULTS We identified 122 BD-related genes including KMT2C, AHNAK, CDH23, DCHS1, FRAS1, MACF1 and RYR3 and observed 27 recurrent copy number alteration regions including gain on 8p23.1 and loss on 15q11.1 - q11.2. Among them, single nucleotide polymorphism (SNP) rs4639425 in KMT2C gene, which regulates histone H3 lysine 4 (H3K4) methylation involved in chromatin remodeling, was associated with widespread alterations of white matter integrity including the cingulum, uncinate fasciculus, cortico-spinal tract, and superior longitudinal fasciculus. LIMITATION The small sample size of patients with BD in the genome data may cause our study to be underpowered when searching for putative rare mutations. CONCLUSION This study first combined a WES approach and neuroimaging findings in psychiatric disorders. We postulate the rs4639425 may be associated with BD-related microstructural changes of white matter tracts.
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Affiliation(s)
- Mi-Ryung Han
- Department of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - June Kang
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Eunsoo Won
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Yunjung Cho
- Department of Laboratory Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
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21
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Otaka H, Murakami H, Nakayama H, Murabayashi M, Mizushiri S, Matsumura K, Tanabe J, Matsuhashi Y, Yanagimachi M, Yoshida K, Sugawara N, Yasui‐Furukori N, Daimon M. Association between insomnia and personality traits among Japanese patients with type 2 diabetes mellitus. J Diabetes Investig 2019; 10:484-490. [PMID: 30183140 PMCID: PMC6400161 DOI: 10.1111/jdi.12927] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 08/14/2018] [Accepted: 08/30/2018] [Indexed: 12/19/2022] Open
Abstract
AIMS/INTRODUCTION Insomnia is associated with type 2 diabetes mellitus, and results in a low quality of life. There are several known relationships between insomnia and personality. Thus, we clarified the association between some personality traits and insomnia among Japanese type 2 diabetes mellitus patients. MATERIALS AND METHODS The participants were 504 type 2 diabetes mellitus patients (mean age 63.9 ± 12.5 years). Sleep disturbance and personality traits were evaluated using the Pittsburgh Sleep Quality Index-Japanese version and the Ten-Item Personality Inventory Japanese version, respectively. Lifestyle factors, glycated hemoglobin levels and depressive status of the patients were also included in the analyses. RESULTS Among the 504 participants with type 2 diabetes mellitus, 154 (30.6%) showed probable insomnia. After adjustment for confounders, being female, living alone, high body mass index and "high neuroticism" were found to be significantly correlated with current insomnia. No other relationships between insomnia and glycated hemoglobin or lifestyle factors, such as smoking, drinking alcohol or exercise frequency, were found. CONCLUSIONS The prevalence of insomnia in individuals with type 2 diabetes mellitus was high, and the risk factors included some personality factors. Future prospective studies are required to confirm the therapeutic effects of behavioral interventions for insomnia in patients with type 2 diabetes mellitus.
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Affiliation(s)
- Hideyuki Otaka
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Hiroshi Murakami
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Hirofumi Nakayama
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Masaya Murabayashi
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Satoru Mizushiri
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Koki Matsumura
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Jutaro Tanabe
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Yuki Matsuhashi
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Miyuki Yanagimachi
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
| | - Kazutaka Yoshida
- Department ofNeuropsychiatryHirosaki University Graduate School of MedicineHirosakiJapan
| | - Norio Sugawara
- Department of Clinical EpidemiologyTranslational Medical CenterNational Center of Neurology and PsychiatryKodaira, TokyoJapan
| | - Norio Yasui‐Furukori
- Department ofNeuropsychiatryHirosaki University Graduate School of MedicineHirosakiJapan
| | - Makoto Daimon
- Department ofEndocrinology and MetabolismHirosaki University Graduate School of MedicineHirosakiJapan
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22
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Sallis H, Davey Smith G, Munafò MR. Genetics of biologically based psychological differences. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0162. [PMID: 29483347 PMCID: PMC5832687 DOI: 10.1098/rstb.2017.0162] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2017] [Indexed: 01/21/2023] Open
Abstract
In recent years, substantial effort has gone into disentangling the genetic contribution to individual differences in behaviour (such as personality and temperament traits). Heritability estimates from twin and family studies, and more recently using whole genome approaches, suggest a substantial genetic component to these traits. However, efforts to identify the genes that influence these traits have had relatively little success. Here, we review current work investigating the heritability of individual differences in behavioural traits and provide an overview of the results from genome-wide association analyses of these traits to date. In addition, we discuss the implications of these findings for the potential applications of Mendelian randomization.This article is part of the theme issue 'Diverse perspectives on diversity: multi-disciplinary approaches to taxonomies of individual differences'.
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Affiliation(s)
- Hannah Sallis
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK .,UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK.,Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Marcus R Munafò
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK
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Comprehensive cross-disorder analyses of CNTNAP2 suggest it is unlikely to be a primary risk gene for psychiatric disorders. PLoS Genet 2018; 14:e1007535. [PMID: 30586385 PMCID: PMC6324819 DOI: 10.1371/journal.pgen.1007535] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 01/08/2019] [Accepted: 11/12/2018] [Indexed: 12/21/2022] Open
Abstract
The contactin-associated protein-like 2 (CNTNAP2) gene is a member of the neurexin superfamily. CNTNAP2 was first implicated in the cortical dysplasia-focal epilepsy (CDFE) syndrome, a recessive disease characterized by intellectual disability, epilepsy, language impairments and autistic features. Associated SNPs and heterozygous deletions in CNTNAP2 were subsequently reported in autism, schizophrenia and other psychiatric or neurological disorders. We aimed to comprehensively examine evidence for the role of CNTNAP2 in susceptibility to psychiatric disorders, by the analysis of multiple classes of genetic variation in large genomic datasets. In this study we used: i) summary statistics from the Psychiatric Genomics Consortium (PGC) GWAS for seven psychiatric disorders; ii) examined all reported CNTNAP2 structural variants in patients and controls; iii) performed cross-disorder analysis of functional or previously associated SNPs; and iv) conducted burden tests for pathogenic rare variants using sequencing data (4,483 ASD and 6,135 schizophrenia cases, and 13,042 controls). The distribution of CNVs across CNTNAP2 in psychiatric cases from previous reports was no different from controls of the database of genomic variants. Gene-based association testing did not implicate common variants in autism, schizophrenia or other psychiatric phenotypes. The association of proposed functional SNPs rs7794745 and rs2710102, reported to influence brain connectivity, was not replicated; nor did predicted functional SNPs yield significant results in meta-analysis across psychiatric disorders at either SNP-level or gene-level. Disrupting CNTNAP2 rare variant burden was not higher in autism or schizophrenia compared to controls. Finally, in a CNV mircroarray study of an extended bipolar disorder family with 5 affected relatives we previously identified a 131kb deletion in CNTNAP2 intron 1, removing a FOXP2 transcription factor binding site. Quantitative-PCR validation and segregation analysis of this CNV revealed imperfect segregation with BD. This large comprehensive study indicates that CNTNAP2 may not be a robust risk gene for psychiatric phenotypes. Genetic mutations that disrupt both copies of the CNTNAP2 gene lead to severe disease, characterized by profound intellectual disability, epilepsy, language difficulties and autistic traits, leading to the hypothesis that this gene may also be involved in autism given some overlapping clinical features with this disease. Indeed, several large DNA deletions affecting one of the two copies of CNTNAP2 were found in some patients with autism, and later also in patients with schizophrenia, bipolar disorder, ADHD and epilepsy, suggesting that this gene was implicated in several psychiatric or neurologic diseases. Other studies considered genetic sequence variations that are common in the general population, and suggested that two such sequence variations in CNTNAP2 predispose to psychiatric diseases by influencing the functionality and connectivity of the brain. To better understand the involvement of CNTNAP2 in risk of mental illness, we performed several genetic analyses using a series of large publicly available or in-house datasets, comprising many thousands of patients and controls. Furthermore, we report the deletion of one copy of CNTNAP2 in two patients with bipolar disorder and one unaffected relative from an extended family where five relatives were affected with this condition. Despite the previous consideration of CNTNAP2 as a strong candidate gene for autism or schizophrenia, we show little evidence across multiple classes of DNA variation, that CNTNAP2 is likely to play a major role in risk of psychiatric diseases.
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Liu W, Cui Z, Xu P, Han H, Zhu J. Conditional GWAS revealing genetic impacts of lifestyle behaviors on low-density lipoprotein (LDL). Comput Biol Chem 2018; 78:497-503. [PMID: 30473251 DOI: 10.1016/j.compbiolchem.2018.11.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 11/16/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Accumulation of LDL cholesterol (LDL-c) within artery walls is strongly associated with the initiation and progression of atherosclerosis development. This complex trait is affected by multifactor involving polygenes, environments, and their interactions. Uncovering genetic architecture of LDL may help to increase the understanding of the genetic mechanism of cardiovascular diseases. METHODS We used a genetic model to analyze genetic effects including additive, dominance, epistasis, and ethnic interactions for data from the Multi-Ethnic Study of Atherosclerosis (MESA). Three lifestyle behaviors (reading, intentional exercising, smoking) were used as cofactor in conditional models. RESULTS We identified 156 genetic effects of 10 quantitative trait SNPs (QTSs) in base model and three conditional models. The total estimated heritability of these genetic effects was approximately 72.88% in the base model. Five genes (CELSR2, MARK2, ADAMTS12, PFDN4, and MAGI2) have biological functions related to LDL. CONCLUSIONS Compared with the based model LDL, the results in three conditional models revealed that intentional exercising and smoking could have impacts for causing and suppressing some of genetic effects and influence the levels of LDL. Furthermore, these two lifestyles could have different genetic effects for each ethnic group on a specific QTS. As most of the heritability in based model LDL and conditional model LDL|Smk was contributed from epistasis effects, our result indicated that epistasis effects played important roles in determining LDL levels. Our study provided useful insight into the biological mechanisms underlying regulation of LDL and might help in the discovery of novel therapeutic targets for cardiovascular disease.
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Affiliation(s)
- Wenbin Liu
- Institute of Computational Science and Technology, Guangzhou University, Guangzhou, 510006, China.
| | - Zhendong Cui
- Institute of Computational Science and Technology, Guangzhou University, Guangzhou, 510006, China
| | - Peng Xu
- Institute of Computational Science and Technology, Guangzhou University, Guangzhou, 510006, China
| | - Henrry Han
- Department of Computer and Information Science, Fordham University, New York, NY, 10458, USA
| | - Jun Zhu
- Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
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McCann SJH. Handedness predicts Conservative-Republican preference and eliminates relations of Big Five personality to political orientation using the 48 contiguous American states as analytical units. Laterality 2018; 24:289-319. [PMID: 30080438 DOI: 10.1080/1357650x.2018.1508214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The two present nomothetic studies focused on the period from 1996 to 2012 to determine relations between handedness and political orientation using the 48 contiguous American states as analytical units. The estimated percentage of left-handers in each state operationally defined handedness. A composite measure of Conservative-Republican preference was created from CBS/New York Times/Gallup polls of state resident conservatism and the percent in each state voting Republican in each presidential election from 1996 to 2012. Study 1 showed that state levels of left-handedness correlated to an extremely high degree with Conservative-Republican preference (r = -.80). As well, with common demographic differences between states reflected in socioeconomic status, White population percent, and urban population percent controlled through multiple regression, handedness still accounted for an additional 37.2% of the variance in Conservative-Republican preference. Study 2 found that each of the Big Five personality variables correlated significantly with handedness and with Conservative-Republican preference, but in the opposite direction. Furthermore, Study 2 demonstrated quite surprisingly that all Big Five personality relations to Conservative-Republican preference were eliminated when handedness was controlled in multiple regression equations. For all regression equations, the global Moran's I test specifically developed for detecting residual spatial autocorrelation indicated no significant spatial autocorrelation.
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Han W, Zhang M, Feng X, Gong G, Peng K, Zhang D. Genetic influences on creativity: an exploration of convergent and divergent thinking. PeerJ 2018; 6:e5403. [PMID: 30083479 PMCID: PMC6071619 DOI: 10.7717/peerj.5403] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 07/18/2018] [Indexed: 12/23/2022] Open
Abstract
Previous studies on the genetic basis of creativity have mainly focused on the biological mechanisms of divergent thinking, possibly limiting the exploration of possible candidate genes. Taking a cognition-based perspective, the present study investigated the genetic basis for both the divergent and the convergent thinking components of creativity. A total of 321 Chinese university students were recruited to complete the Guildford Unusual Using Test (UUT) for divergent thinking capability and the Remote Associates Test (RAT) for convergent thinking capability. The polymorphism of rs2576037 in KATNAL2 was related to the fluency and originality component scores of UUT, and the polymorphism of rs5993883 in COMT, rs362584 in SNAP25 was related to the RAT performance. These effects remained significant after considering the influence of age, gender and intelligence. Our results provide new evidence for the genetic basis of creativity and reveal the important role of gene polymorphisms in divergent and convergent thinking.
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Affiliation(s)
- Wei Han
- Department of Psychology, Tsinghua University, Beijing, China
| | - Mi Zhang
- Department of Psychology, Tsinghua University, Beijing, China
| | - Xue Feng
- Education College, Yangtze University, Jingzhou, Hubei, China
| | | | - Kaiping Peng
- Department of Psychology, Tsinghua University, Beijing, China
| | - Dan Zhang
- Department of Psychology, Tsinghua University, Beijing, China
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Nagel M, Jansen PR, Stringer S, Watanabe K, de Leeuw CA, Bryois J, Savage JE, Hammerschlag AR, Skene NG, Muñoz-Manchado AB, White T, Tiemeier H, Linnarsson S, Hjerling-Leffler J, Polderman TJC, Sullivan PF, van der Sluis S, Posthuma D. Meta-analysis of genome-wide association studies for neuroticism in 449,484 individuals identifies novel genetic loci and pathways. Nat Genet 2018; 50:920-927. [DOI: 10.1038/s41588-018-0151-7] [Citation(s) in RCA: 404] [Impact Index Per Article: 67.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 04/20/2018] [Indexed: 01/17/2023]
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Bizaoui V, Gage J, Brar R, Rauen KA, Weiss LA. RASopathies are associated with a distinct personality profile. Am J Med Genet B Neuropsychiatr Genet 2018; 177:434-446. [PMID: 29659143 PMCID: PMC6039190 DOI: 10.1002/ajmg.b.32632] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 02/02/2018] [Accepted: 03/01/2018] [Indexed: 11/08/2022]
Abstract
Personality is a complex, yet partially heritable, trait. Although some Mendelian diseases like Williams-Beuren syndrome are associated with a particular personality profile, studies have failed to assign the personality features to a single gene or pathway. As a family of monogenic disorders caused by mutations in the Ras/MAPK pathway known to influence social behavior, RASopathies are likely to provide insight into the genetic basis of personality. Eighty subjects diagnosed with cardiofaciocutaneous syndrome, Costello syndrome, neurofibromatosis type 1, and Noonan syndrome were assessed using a parent-report BFQ-C (Big Five Questionnaire for Children) evaluating agreeableness, extraversion, conscientiousness, intellect/openness, and neuroticism, along with 55 unaffected sibling controls. A short questionnaire was added to assess sense of humor. RASopathy subjects and sibling controls were compared for individual components of personality, multidimensional personality profiles, and individual questions using Student tests, analysis of variance, and principal component analysis. RASopathy subjects were given lower scores on average compared to sibling controls in agreeableness, extraversion, conscientiousness, openness, and sense of humor, and similar scores in neuroticism. When comparing the multidimensional personality profile between groups, RASopathies showed a distinct profile from unaffected siblings, but no difference in this global profile was found within RASopathies, revealing a common profile for the Ras/MAPK-related disorders. In addition, several syndrome-specific strengths or weaknesses were observed in individual domains. We describe for the first time an association between a single pathway and a specific personality profile, providing a better understanding of the genetics underlying personality, and new tools for tailoring educational and behavioral approaches for individuals with RASopathies.
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Affiliation(s)
- Varoona Bizaoui
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA,Institute for Human Genetics, University of California San Francisco, San Francisco, California, USA,Laboratoire de Génétique moléculaire et Histocompatibilité, CHRU de Brest, Brest, France,Inserm UMR1078, Etablissement français du sang – Bretagne, Brest, France, Association Gaëtan Saleun
| | - Jessica Gage
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA,Institute for Human Genetics, University of California San Francisco, San Francisco, California, USA,Department of Biological Sciences, California State University, Stanislaus, Turlock, California, USA
| | - Rita Brar
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA,Institute for Human Genetics, University of California San Francisco, San Francisco, California, USA
| | - Katherine A Rauen
- Institute for Human Genetics, University of California San Francisco, San Francisco, California, USA,Department of Pediatrics, University of California San Francisco, San Francisco, California, USA
| | - Lauren A Weiss
- Department of Psychiatry and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, USA,Institute for Human Genetics, University of California San Francisco, San Francisco, California, USA
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Melas PA, Guban P, Rahman MS, Lavebratt C, Forsell Y. Neuropeptide Y, stressful life events and personality trait conscientiousness: Preliminary associations from a Swedish longitudinal study. Psychiatry Res 2018; 263:48-53. [PMID: 29494882 DOI: 10.1016/j.psychres.2018.02.041] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Revised: 11/23/2017] [Accepted: 02/18/2018] [Indexed: 11/20/2022]
Abstract
The heritability of the Five-Factor Model (FFM) of human personality is high, but few genes have been identified to underlie FFM traits. Neuropeptide Y (NPY) is a pleiotropic gene implicated in stress resilience that contains two well-studied functional SNPs: (1) rs16147, which lies in the NPY promoter and affects expression levels, and (2) rs16139, which lies in the coding sequence of NPY's precursor peptide, pre-pro NPY, and affects precursor processing. In the present study we examined whether these two polymorphisms are associated with FFM traits, using a Swedish cohort (rs16147, N = 2113; and rs16139, N = 1971), and found a significant association with rs16139. Specifically, the minor G-allele of the SNP, which encodes proline instead of leucine and leads to higher processing of pre-pro NPY into mature NPY, was associated with higher levels of conscientiousness. Next, we looked at exposure to life adversities, both in childhood and adulthood, and found that stressful life events were significantly associated with reduced levels of conscientiousness. These data provide insights into the neurobiology of human personality. However, given the difficulty in replicating genetic and environmental associations with behaviorally complex traits, these findings should be considered preliminary and warrant replication in additional cohorts.
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Affiliation(s)
- Philippe A Melas
- Department of Clinical Neuroscience, Karolinska Institutet, CMM L8:00, Karolinska University Hospital, 17176 Stockholm, Sweden; Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden.
| | - Peter Guban
- Center for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden
| | - Md Shafiqur Rahman
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Catharina Lavebratt
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden; Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Yvonne Forsell
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
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Sanchez-Roige S, Gray JC, MacKillop JK, Chen CH, Palmer AA. The genetics of human personality. GENES, BRAIN, AND BEHAVIOR 2018; 17:e12439. [PMID: 29152902 PMCID: PMC7012279 DOI: 10.1111/gbb.12439] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 10/12/2017] [Accepted: 11/07/2017] [Indexed: 12/13/2022]
Abstract
Personality traits are the relatively enduring patterns of thoughts, feelings and behaviors that reflect the tendency to respond in certain ways under certain circumstances. Twin and family studies have showed that personality traits are moderately heritable, and can predict various lifetime outcomes, including psychopathology. The Research Domain Criteria characterizes psychiatric diseases as extremes of normal tendencies, including specific personality traits. This implies that heritable variation in personality traits, such as neuroticism, would share a common genetic basis with psychiatric diseases, such as major depressive disorder. Despite considerable efforts over the past several decades, the genetic variants that influence personality are only beginning to be identified. We review these recent and increasingly rapid developments, which focus on the assessment of personality via several commonly used personality questionnaires in healthy human subjects. Study designs covered include twin, linkage, candidate gene association studies, genome-wide association studies and polygenic analyses. Findings from genetic studies of personality have furthered our understanding about the genetic etiology of personality, which, like neuropsychiatric diseases themselves, is highly polygenic. Polygenic analyses have showed genetic correlations between personality and psychopathology, confirming that genetic studies of personality can help to elucidate the etiology of several neuropsychiatric diseases.
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Affiliation(s)
- Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
| | - Joshua C Gray
- Center for Deployment Psychology, Uniformed Services University, Bethesda, MD, 20814
| | - James K MacKillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph’s Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada; Homewood Research Institute, Guelph, ON N1E 6K9, Canada
| | - Chi-Hua Chen
- Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, 92093, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
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Correlation between gut microbiota and personality in adults: A cross-sectional study. Brain Behav Immun 2018; 69:374-385. [PMID: 29278751 DOI: 10.1016/j.bbi.2017.12.012] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 01/19/2023] Open
Abstract
Personality affects fundamental behavior patterns and has been related with health outcomes and mental disorders. Recent evidence has emerged supporting a relationship between the microbiota and behavior, referred to as brain-gut relationships. Here, we first report correlations between personality traits and gut microbiota. This research was performed using the Revised NEO Personality Inventory and the sequencing data of the 16S rRNA gene in 672 adults. The diversity and the composition of the human gut microbiota exhibited significant difference when stratified by personality traits. We found that personality traits were significantly correlated with diversity of gut microbiota, while their differences were extremely subtle. High neuroticism and low conscientiousness groups were correlated with high abundance of Gammaproteobacteria and Proteobacteria, respectively when covariates, including age, sex, BMI and nutrient intake, were controlled. Additionally, high conscientiousness group also showed increased abundance of some universal butyrate-producing bacteria including Lachnospiraceae. This study was of observational and cross-sectional design and our findings must be further validated through metagenomic or metatranscriptomic methodologies, or metabolomics-based analyses. Our findings will contribute to elucidating potential links between the gut microbiota and personality, and provide useful insights toward developing and testing personality- and microbiota-based interventions for promoting health.
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Chapman BP, Benedict RHB, Lin F, Roy S, Porteinsson A, Szigeti K, Federoff H, Mapstone M. Apolipoprotein E genotype impact on memory and attention in older persons: the moderating role of personality phenotype. Int J Geriatr Psychiatry 2018; 33:332-339. [PMID: 28612377 DOI: 10.1002/gps.4748] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 05/10/2017] [Indexed: 12/20/2022]
Abstract
OBJECTIVES To determine if phenotypic personality traits modify the association of Apolipoprotein E (APOE) genotypes with different domains of cognitive function. DESIGN Cross-sectional. METHODS 172 non-demented older adults were administered the NEO-Five Factor Inventory (NEO-FFI), a battery of neuropsychological tests assessing memory, attention, executive function, language, and visuospatial ability, and underwent APOE genotyping. Multivariate (multiple-dependent variable) regression models predicting cognitive domains tested APOE interactions with personality traits, adjusting for age, sex, and education. RESULTS The APOE ε4 allele showed small to modest main effects on memory and executive function (1/3 SD deficits for carriers, p < .05), with ε2 status evidencing minimal and non-significant benefit. Neuroticism interacted with both ε2 and ε4 alleles in associations with attention scores (p = .001), with ε2 benefits and ε4 deficits being marked at high Neuroticism (Mean [M] covariate-adjusted Z-score = .39 for ε2, -.47 for ε4). The association of ε4 with memory was moderated by Conscientiousness (p < .001), such that ε4 memory deficits were apparent at low Conscientiousness (M = -.56), but absent at high levels of Conscientiousness. Weaker patterns (p < .05) also suggested ε4-related detriments in executive function only at lower Conscientiousness, and ε2 memory benefits only at higher Openness. CONCLUSIONS Conscientiousness and Neuroticism moderate APOE associations with memory and executive function. As such, they may be useful phenotypic markers in refining the prognostic significance of this polymorphism. Effect-modifying personality traits also provide clues about behavioral and psychological factors that influence the cognitive impact of APOE. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Benjamin P Chapman
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry
| | - Ralph H B Benedict
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York, USA
| | - Feng Lin
- School of Nursing and Departments of Psychiatry and Brain and Cognitive Sciences, University of Rochester Medical Center
| | - Shumita Roy
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York, USA
| | - Antoine Porteinsson
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry.,Department of Neurology, University of Rochester School of Medicine and Dentistry
| | - Kinga Szigeti
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York, USA
| | - Howard Federoff
- Department of Neurology, University of Rochester School of Medicine and Dentistry
| | - Mark Mapstone
- Irvine School of Medicine, Department of Neurology, University of California
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Xu MK, Gaysina D, Tsonaka R, Morin AJS, Croudace TJ, Barnett JH, Houwing-Duistermaat J, Richards M, Jones PB. Monoamine Oxidase A ( MAOA) Gene and Personality Traits from Late Adolescence through Early Adulthood: A Latent Variable Investigation. Front Psychol 2017; 8:1736. [PMID: 29075213 PMCID: PMC5641687 DOI: 10.3389/fpsyg.2017.01736] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Accepted: 09/20/2017] [Indexed: 11/13/2022] Open
Abstract
Very few molecular genetic studies of personality traits have used longitudinal phenotypic data, therefore molecular basis for developmental change and stability of personality remains to be explored. We examined the role of the monoamine oxidase A gene (MAOA) on extraversion and neuroticism from adolescence to adulthood, using modern latent variable methods. A sample of 1,160 male and 1,180 female participants with complete genotyping data was drawn from a British national birth cohort, the MRC National Survey of Health and Development (NSHD). The predictor variable was based on a latent variable representing genetic variations of the MAOA gene measured by three SNPs (rs3788862, rs5906957, and rs979606). Latent phenotype variables were constructed using psychometric methods to represent cross-sectional and longitudinal phenotypes of extraversion and neuroticism measured at ages 16 and 26. In males, the MAOA genetic latent variable (AAG) was associated with lower extraversion score at age 16 (β = −0.167; CI: −0.289, −0.045; p = 0.007, FDRp = 0.042), as well as greater increase in extraversion score from 16 to 26 years (β = 0.197; CI: 0.067, 0.328; p = 0.003, FDRp = 0.036). No genetic association was found for neuroticism after adjustment for multiple testing. Although, we did not find statistically significant associations after multiple testing correction in females, this result needs to be interpreted with caution due to issues related to x-inactivation in females. The latent variable method is an effective way of modeling phenotype- and genetic-based variances and may therefore improve the methodology of molecular genetic studies of complex psychological traits.
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Affiliation(s)
- Man K Xu
- Faculty of Psychology and Educational Sciences, Welten Institute, Open University of the Netherlands, Heerlen, Netherlands.,Department of Medical Statistics and Bioinformatics, Leiden University Medical Centre, Leiden, Netherlands.,Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands
| | - Darya Gaysina
- EDGE Lab, School of Psychology, University of Sussex, Brighton, United Kingdom
| | - Roula Tsonaka
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Centre, Leiden, Netherlands
| | - Alexandre J S Morin
- Substantive-Methodological Synergy Research Laboratory, Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Tim J Croudace
- School of Nursing and Health Sciences, University of Dundee, Dundee, United Kingdom
| | | | | | - Marcus Richards
- MRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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A Multilevel Functional Study of a SNAP25 At-Risk Variant for Bipolar Disorder and Schizophrenia. J Neurosci 2017; 37:10389-10397. [PMID: 28972123 DOI: 10.1523/jneurosci.1040-17.2017] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Revised: 09/08/2017] [Accepted: 09/13/2017] [Indexed: 12/16/2022] Open
Abstract
The synaptosomal-associated protein SNAP25 is a key player in synaptic vesicle docking and fusion and has been associated with multiple psychiatric conditions, including schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder. We recently identified a promoter variant in SNAP25, rs6039769, that is associated with early-onset bipolar disorder and a higher gene expression level in human prefrontal cortex. In the current study, we showed that this variant was associated both in males and females with schizophrenia in two independent cohorts. We then combined in vitro and in vivo approaches in humans to understand the functional impact of the at-risk allele. Thus, we showed in vitro that the rs6039769 C allele was sufficient to increase the SNAP25 transcription level. In a postmortem expression analysis of 33 individuals affected with schizophrenia and 30 unaffected control subjects, we showed that the SNAP25b/SNAP25a ratio was increased in schizophrenic patients carrying the rs6039769 at-risk allele. Last, using genetics imaging in a cohort of 71 subjects, we showed that male risk carriers had an increased amygdala-ventromedial prefrontal cortex functional connectivity and a larger amygdala than non-risk carriers. The latter association has been replicated in an independent cohort of 121 independent subjects. Altogether, results from these multilevel functional studies are bringing strong evidence for the functional consequences of this allelic variation of SNAP25 on modulating the development and plasticity of the prefrontal-limbic network, which therefore may increase the vulnerability to both early-onset bipolar disorder and schizophrenia.SIGNIFICANCE STATEMENT Functional characterization of disease-associated variants is a key challenge in understanding neuropsychiatric disorders and will open an avenue in the development of personalized treatments. Recent studies have accumulated evidence that the SNARE complex, and more specifically the SNAP25 protein, may be involved in psychiatric disorders. Here, our multilevel functional studies are bringing strong evidence for the functional consequences of an allelic variation of SNAP25 on modulating the development and plasticity of the prefrontal-limbic network. These results demonstrate a common genetically driven functional alteration of a synaptic mechanism both in schizophrenia and early-onset bipolar disorder and confirm the shared genetic vulnerability between these two disorders.
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Cook PF, Schmiege SJ, Starr W, Carrington JM, Bradley-Springer L. Prospective State and Trait Predictors of Daily Medication Adherence Behavior in HIV. Nurs Res 2017; 66:275-285. [PMID: 28654566 PMCID: PMC5488695 DOI: 10.1097/nnr.0000000000000216] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Many persons living with HIV (PLWH) are nonadherent to medication. Trait level measures that ask about predictors of adherence in the abstract may not adequately capture state level daily variability that more directly impacts adherence. OBJECTIVES This preliminary study was designed to test six predictors of electronically monitored adherence at both the state and trait levels and to compare their relative effects. METHODS Using a smartphone, 87 PLWH completed randomly cued daily surveys on thoughts, mood, stress, coping, social support, and treatment motivation. All participants also completed baseline surveys on each construct. These state and trait variables were tested as prospective predictors of next-day adherence in multilevel models, and their relative importance was quantified. The analysis sample consisted of 53 PLWH who stored their most frequent antiretroviral medication in a bottle that time-stamped openings to measure adherence. RESULTS Higher state level motivation, OR = 1.55, 95% CI [1.07, 2.24], and negative mood, OR = 1.33, 95% CI [1.07, 1.63], predicted greater adherence the following day. Importantly, these effects were only found at the state level. Trait level control beliefs predicted greater adherence, OR = 1.65, 95% CI [1.17, 2.35], but contrary to prediction, validated trait level measures of mood, stress, coping, social support, and motivation did not. DISCUSSION Trait and state level measures predicted adherence, but there were differences between them. Motivation for treatment and negative mood predicted adherence when measured the preceding day, but not as aggregate measures. At the trait level, only control beliefs predicted adherence. Researchers should consider state level variations in mood and motivation as possible explanations for nonadherence. Interventions could be developed to target state level variables.
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Affiliation(s)
- Paul F Cook
- Paul F. Cook, PhD, is Associate Professor; and Sarah J. Schmiege, PhD, is Associate Professor, University of Colorado College of Nursing, Aurora. Whitney Starr, MSN, NP, is Instructor, University of Colorado School of Medicine, Aurora. Jane M. Carrington, PhD, RN, is Assistant Professor, University of Arizona College of Nursing, Tucson. Lucy Bradley-Springer, PhD, FAAN, ACRN, is Associate Professor Emeritus, University of Colorado School of Medicine, Aurora
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36
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Meta-analysis of genome-wide SNP- and pathway-based associations for facets of neuroticism. J Hum Genet 2017; 62:903-909. [PMID: 28615674 PMCID: PMC5622119 DOI: 10.1038/jhg.2017.61] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 05/08/2017] [Accepted: 05/08/2017] [Indexed: 12/15/2022]
Abstract
Neuroticism is a heritable personality trait that is comprised of distinct sub-factors, or facets. Sub-factors of neuroticism are linked to different emotional states or psychiatric symptoms and studying the genetic variants associated with these facets may help reveal the biological mechanisms underlying psychiatric disorders. In the present study, a meta-analysis of genome-wide association studies for six facets of neuroticism was performed in 5584 participants from three cohorts. Additionally, a Gene Set Enrichment Analysis was conducted to find biological pathways associated with each facet. Six neuroticism facets (N1: anxiety, N2: angry hostility, N3: depression, N4: self-consciousness, N5: impulsivity and N6: vulnerability) were assessed using the Korean version of the Revised NEO Personality Inventory. In the single-nucleotide polymorphism-based analysis, results showed genome-wide significance for N2 within the MIR548H3 gene (rs1360001, P=4.14 × 10-9). Notable genes with suggestive associations (P<1.0 × 10-6) were ITPR1 for N1, WNT7A for N2, FGF10 and FHIT for N3, DDR1 for N4, VGLL4 for N5 and PTPRD for N6. In the pathway-based analysis, the axon guidance pathway was identified to be associated with multiple facets of neuroticism (N2, N4 and N6). The focal adhesion and extracellular matrix receptor interaction pathways were significantly associated with N2 and N3. Our findings revealed genetic influences and biological pathways that are associated with facets of neuroticism.
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37
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Takeuchi H, Tomita H, Taki Y, Kikuchi Y, Ono C, Yu Z, Sekiguchi A, Nouchi R, Kotozaki Y, Nakagawa S, Miyauchi CM, Iizuka K, Yokoyama R, Shinada T, Yamamoto Y, Hanawa S, Araki T, Kunitoki K, Sassa Y, Kawashima R. The VEGF gene polymorphism impacts brain volume and arterial blood volume. Hum Brain Mapp 2017; 38:3516-3526. [PMID: 28402004 DOI: 10.1002/hbm.23606] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 02/24/2017] [Accepted: 03/27/2017] [Indexed: 12/19/2022] Open
Abstract
Vascular endothelial growth factor (VEGF) plays a critical role in the angiogenesis and proliferation of various types of cells such as neurons, astroglia, and endothelial cells in the brain. A common polymorphism in the VEGF gene (-2578 C/A) is associated with circulating VEGF levels, cancers and Alzheimer's disease. Nonetheless, the effects of this polymorphism on normal human brain volume, arterial blood volume, and blood supply remain unclear. In this study, the effects of this polymorphism on the total gray matter volume (TGMV) and total white matter volume (TWMV) using T1-weighted structural images and the total arterial blood volume (TABV) and mean cerebral blood flow (mCBF) during rest using arterial spin labeling (ASL) in 765 young adult humans were investigated. Voxel-by-voxel whole-brain analyses of these measures were also performed. Multiple regression analyses with age and sex as covariates revealed that the VEGF genotype (number of C alleles) was significantly and positively correlated with TGMV, TWMV, and TABV as well as with regional gray and white matter volumes in widespread areas and regional arterial blood volume in some areas with high arterial blood volume. However, these regional associations were not seen when the corresponding global signal was included as a covariate in the multiple regression analyses, indicating that we failed to obtain evidence of region-specific associations between these brain measures and the genotype. The results suggest that the VEGF-2578C allele, is associated with changes in the vascular system that lead to increased blood volume and larger brain volume. Hum Brain Mapp 38:3516-3526, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimage Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Chiaki Ono
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimage Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan.,Department of Adult Mental Health, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Rui Nouchi
- Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Yuka Kotozaki
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Seishu Nakagawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan
| | - Carlos Makoto Miyauchi
- Graduate School of Arts and Sciences, Department of General Systems Studies, The University of Tokyo, Tokyo, Japan
| | - Kunio Iizuka
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan.,Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryoichi Yokoyama
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan.,Japan Society for the Promotion of Science, Tokyo, Japan
| | - Takamitsu Shinada
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan
| | - Yuki Yamamoto
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan
| | - Sugiko Hanawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan
| | - Tsuyoshi Araki
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai Japan.,Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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38
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Pergola G, Di Carlo P, D'Ambrosio E, Gelao B, Fazio L, Papalino M, Monda A, Scozia G, Pietrangelo B, Attrotto M, Apud JA, Chen Q, Mattay VS, Rampino A, Caforio G, Weinberger DR, Blasi G, Bertolino A. DRD2 co-expression network and a related polygenic index predict imaging, behavioral and clinical phenotypes linked to schizophrenia. Transl Psychiatry 2017; 7:e1006. [PMID: 28094815 PMCID: PMC5545721 DOI: 10.1038/tp.2016.253] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Revised: 09/28/2016] [Accepted: 10/13/2016] [Indexed: 12/14/2022] Open
Abstract
Genetic risk for schizophrenia (SCZ) is determined by many genetic loci whose compound biological effects are difficult to determine. We hypothesized that co-expression pathways of SCZ risk genes are associated with system-level brain function and clinical phenotypes of SCZ. We examined genetic variants related to the dopamine D2 receptor gene DRD2 co-expression pathway and associated them with working memory (WM) behavior, the related brain activity and treatment response. Using two independent post-mortem prefrontal messenger RNA (mRNA) data sets (total N=249), we identified a DRD2 co-expression pathway enriched for SCZ risk genes. Next, we identified non-coding single-nucleotide polymorphisms (SNPs) associated with co-expression of this pathway. These SNPs were associated with regulatory genetic loci in the dorsolateral prefrontal cortex (P<0.05). We summarized their compound effect on co-expression into a Polygenic Co-expression Index (PCI), which predicted DRD2 pathway co-expression in both mRNA data sets (all P<0.05). We associated the PCI with brain activity during WM performance in two independent samples of healthy individuals (total N=368) and 29 patients with SCZ who performed the n-back task. Greater predicted DRD2 pathway prefrontal co-expression was associated with greater prefrontal activity and longer WM reaction times (all corrected P<0.05), thus indicating inefficient WM processing. Blind prediction of treatment response to antipsychotics in two independent samples of patients with SCZ suggested better clinical course of patientswith greater PCI (total N=87; P<0.05). The findings on this DRD2 co-expression pathway are a proof of concept that gene co-expression can parse SCZ risk genes into biological pathways associated with intermediate phenotypes as well as with clinically meaningful information.
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Affiliation(s)
- G Pergola
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - P Di Carlo
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - E D'Ambrosio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - B Gelao
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - L Fazio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - M Papalino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - A Monda
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - G Scozia
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - B Pietrangelo
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - M Attrotto
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - J A Apud
- National Institutes of Health, National Institute of Mental Health, Clinical and Translational Neuroscience Branch, NIMH, Bethesda, MD, USA
| | - Q Chen
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - V S Mattay
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
- Departments of Neurology and Radiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - A Rampino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
- Institute of Psychiatry, Department of Neuroscience, Sense Organs and Locomotive System, Bari University Hospital, Bari, Italy
| | - G Caforio
- Institute of Psychiatry, Department of Neuroscience, Sense Organs and Locomotive System, Bari University Hospital, Bari, Italy
| | - D R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
- Departments of Psychiatry, Neurology, Neuroscience and The Mckusick-Nathans Institute of Genomic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - G Blasi
- Institute of Psychiatry, Department of Neuroscience, Sense Organs and Locomotive System, Bari University Hospital, Bari, Italy
| | - A Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
- Institute of Psychiatry, Department of Neuroscience, Sense Organs and Locomotive System, Bari University Hospital, Bari, Italy
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Jiménez KM, Pereira-Morales AJ, Forero DA. Higher scores in the extraversion personality trait are associated with a functional polymorphism in the PER3 gene in healthy subjects. Chronobiol Int 2017; 34:280-286. [DOI: 10.1080/07420528.2016.1268149] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Karen M. Jiménez
- Laboratory of NeuroPsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
| | - Angela J. Pereira-Morales
- Laboratory of NeuroPsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
| | - Diego A. Forero
- Laboratory of NeuroPsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia
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Abstract
Behavioral traits generally show moderate to strong genetic influence, with heritability estimates of around 50%. Some recent research has suggested that trust may be an exception because it is more strongly influenced by social interactions. In a sample of over 7,000 adolescent twins from the United Kingdom’s Twins Early Development Study, we found broad sense heritability estimates of 57% for generalized trust and 51% for trust in friends. Genomic-relatedness-matrix restricted maximum likelihood (GREML) estimates in the same sample indicate that 21% of the narrow sense genetic variance can be explained by common single nucleotide polymorphisms for generalized trust and 43% for trust in friends. As expected, this implies a large amount of unexplained heritability, although power is low for estimating DNA-based heritability. The missing heritability may be accounted for by interactions between DNA and the social environment during development or via gene–environment correlations with rare variants. How these genes and environments correlate seem especially important for the development of trust.
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41
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Bombardier A, Beauchemin M, Gosselin N, Poirier J, De Beaumont L. Altered Episodic Memory in Introverted Young Adults Carrying the BDNF Met Allele. Int J Mol Sci 2016; 17:ijms17111886. [PMID: 27845759 PMCID: PMC5133885 DOI: 10.3390/ijms17111886] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 11/08/2016] [Accepted: 11/08/2016] [Indexed: 01/07/2023] Open
Abstract
While most studies have been interested in the distinct, predisposing roles of the common BDNF Val66Met variant and extraversion personality traits on episodic memory, very few studies have looked at the synergistic effects of genetic and personality factors to account for cognitive variance. This is surprising considering recent reports challenging the long-held belief that the BDNFMet variant negatively impacts cognitive function. A total of 75 young healthy adults (26 of them carried at least one copy of the BDNFMet allele) took part in this study consisting of genetic profiling from saliva, personality assessment using the Revised NEO Personality Inventory (NEO PI-R) and a short battery of neuropsychological tests. An ANOVA revealed that BDNFMet carriers were significantly less extraverted than BDNFVal carriers (F1,73 = 9.54; p < 0.01; ηp² = 0.126). Moreover, extraversion was found to significantly moderate the relationship between the BDNF genotype and episodic memory performance (p = 0.03). Subsequent correlational analyses yielded a strong and significant correlation (r = 0.542; p < 0.005) between introversion and delayed episodic memory specific to BDNFMet individuals. The present study suggests that introversion and the BDNFMet variant synergistically interact to reduce episodic memory performance in healthy, young adults. These findings reaffirm that a more accurate explanation of cognitive variance can be achieved by looking at the synergistic effects of genotype and phenotype factors.
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Affiliation(s)
- Andreanne Bombardier
- Department of Psychology, University of Quebec at Trois-Rivieres, 3351 Boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada.
| | - Maude Beauchemin
- Department of Psychology, University of Montreal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada.
| | - Nadia Gosselin
- Department of Psychology, University of Montreal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada.
- Montreal Sacred Heart Hospital Research Centre, Montreal, QC H4J 1C5, Canada.
| | - Judes Poirier
- Douglas Mental Health University Institute, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
| | - Louis De Beaumont
- Department of Psychology, University of Quebec at Trois-Rivieres, 3351 Boulevard des Forges, Trois-Rivières, QC G9A 5H7, Canada.
- Montreal Sacred Heart Hospital Research Centre, Montreal, QC H4J 1C5, Canada.
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Openness and Intellect: An analysis of the motivational constructs underlying two aspects of personality. PERSONALITY AND INDIVIDUAL DIFFERENCES 2016. [DOI: 10.1016/j.paid.2016.05.030] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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43
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Staiger EA, Albright JD, Brooks SA. Genome‐wide association mapping of heritable temperament variation in the
T
ennessee
W
alking
H
orse. GENES BRAIN AND BEHAVIOR 2016; 15:514-26. [DOI: 10.1111/gbb.12290] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Revised: 03/03/2016] [Accepted: 03/11/2016] [Indexed: 12/26/2022]
Affiliation(s)
- E. A. Staiger
- Department of Animal Science Cornell University Ithaca NY
| | - J. D. Albright
- Department of Small Animal Clinical Sciences, College of Veterinary Medicine University of Tennessee Knoxville TN
| | - S. A. Brooks
- Department of Animal Science University of Florida Gainesville FL USA
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Lehto K, Mäestu J, Kiive E, Veidebaum T, Harro J. BDNF Val66Met genotype and neuroticism predict life stress: A longitudinal study from childhood to adulthood. Eur Neuropsychopharmacol 2016; 26:562-9. [PMID: 26738427 DOI: 10.1016/j.euroneuro.2015.12.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 11/17/2015] [Accepted: 12/14/2015] [Indexed: 11/25/2022]
Abstract
The brain-derived neurotrophic factor gene (BDNF) Val66Met polymorphism and life stress have been associated with negative emotionality (e.g., neuroticism), but relevant evidence is far from unequivocal. Possible confounding factors include the type and timing of stressful events measured, such as childhood adversity vs. recent stressful events, and variable gene × environment interactions. The aim of this study was to longitudinally assess the BDNF Val66Met polymorphism and environment interaction effect on neuroticism in a population representative sample, depending upon the type of stress, gender and family relations. In the original older cohort of the Estonian Children Personality Behavior and Health Study (ECPBHS, n=593), neuroticism was measured at age 15 (parental assessment), 18 and 25 (self-assessments). Childhood stress was reported at age 15, quality of family relations was measured at age 18, and recent stressful life events at age 25. The BDNF Val66Met polymorphism interacted with recent stressful life events, but not with childhood adversities, to impact neuroticism. Interestingly, in female participants, neuroticism at age 18 predicted future stressful life events dependent upon genotype: individuals with Val/Val genotype and high neuroticism experienced higher, but Met-allele carriers with high neuroticism lower stress exposure at age 25. Similar tendencies were observed using parental assessments at age 15. The protective effect of Met-allele in the high stress exposure group could result from better early family environment. In conclusion, we herewith provide further evidence for a role of BDNF gene variance contributing to plasticity in response to environmental demands.
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Affiliation(s)
- Kelli Lehto
- Division of Neuropsychopharmacology, Department of Psychology, Estonian Centre of Behavioural and Health Sciences, University of Tartu, Ravila 14A, 50411 Tartu, Estonia; National Institute for Health Development, Estonian Centre of Behavioural and Health Sciences, Tallinn, Estonia
| | - Jarek Mäestu
- Department of Sports Biology and Physiotherapy, Estonian Centre of Behavioural and Health Sciences, University of Tartu, Tartu, Estonia
| | - Evelyn Kiive
- Division of Neuropsychopharmacology, Department of Psychology, Estonian Centre of Behavioural and Health Sciences, University of Tartu, Ravila 14A, 50411 Tartu, Estonia
| | - Toomas Veidebaum
- National Institute for Health Development, Estonian Centre of Behavioural and Health Sciences, Tallinn, Estonia
| | - Jaanus Harro
- Division of Neuropsychopharmacology, Department of Psychology, Estonian Centre of Behavioural and Health Sciences, University of Tartu, Ravila 14A, 50411 Tartu, Estonia.
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45
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van den Berg SM, de Moor MHM, Verweij KJH, Krueger RF, Luciano M, Arias Vasquez A, Matteson LK, Derringer J, Esko T, Amin N, Gordon SD, Hansell NK, Hart AB, Seppälä I, Huffman JE, Konte B, Lahti J, Lee M, Miller M, Nutile T, Tanaka T, Teumer A, Viktorin A, Wedenoja J, Abdellaoui A, Abecasis GR, Adkins DE, Agrawal A, Allik J, Appel K, Bigdeli TB, Busonero F, Campbell H, Costa PT, Smith GD, Davies G, de Wit H, Ding J, Engelhardt BE, Eriksson JG, Fedko IO, Ferrucci L, Franke B, Giegling I, Grucza R, Hartmann AM, Heath AC, Heinonen K, Henders AK, Homuth G, Hottenga JJ, Iacono WG, Janzing J, Jokela M, Karlsson R, Kemp JP, Kirkpatrick MG, Latvala A, Lehtimäki T, Liewald DC, Madden PAF, Magri C, Magnusson PKE, Marten J, Maschio A, Mbarek H, Medland SE, Mihailov E, Milaneschi Y, Montgomery GW, Nauck M, Nivard MG, Ouwens KG, Palotie A, Pettersson E, Polasek O, Qian Y, Pulkki-Råback L, Raitakari OT, Realo A, Rose RJ, Ruggiero D, Schmidt CO, Slutske WS, Sorice R, Starr JM, St Pourcain B, Sutin AR, Timpson NJ, Trochet H, Vermeulen S, Vuoksimaa E, Widen E, Wouda J, Wright MJ, Zgaga L, Porteous D, Minelli A, Palmer AA, Rujescu D, Ciullo M, Hayward C, Rudan I, Metspalu A, Kaprio J, Deary IJ, Räikkönen K, Wilson JF, Keltikangas-Järvinen L, Bierut LJ, Hettema JM, Grabe HJ, Penninx BWJH, van Duijn CM, Evans DM, Schlessinger D, Pedersen NL, Terracciano A, McGue M, Martin NG, Boomsma DI. Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behav Genet 2016; 46:170-82. [PMID: 26362575 PMCID: PMC4751159 DOI: 10.1007/s10519-015-9735-5] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 08/10/2015] [Indexed: 11/26/2022]
Abstract
Extraversion is a relatively stable and heritable personality trait associated with numerous psychosocial, lifestyle and health outcomes. Despite its substantial heritability, no genetic variants have been detected in previous genome-wide association (GWA) studies, which may be due to relatively small sample sizes of those studies. Here, we report on a large meta-analysis of GWA studies for extraversion in 63,030 subjects in 29 cohorts. Extraversion item data from multiple personality inventories were harmonized across inventories and cohorts. No genome-wide significant associations were found at the single nucleotide polymorphism (SNP) level but there was one significant hit at the gene level for a long non-coding RNA site (LOC101928162). Genome-wide complex trait analysis in two large cohorts showed that the additive variance explained by common SNPs was not significantly different from zero, but polygenic risk scores, weighted using linkage information, significantly predicted extraversion scores in an independent cohort. These results show that extraversion is a highly polygenic personality trait, with an architecture possibly different from other complex human traits, including other personality traits. Future studies are required to further determine which genetic variants, by what modes of gene action, constitute the heritable nature of extraversion.
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Affiliation(s)
- Stéphanie M van den Berg
- Department of Research Methodology, Measurement and Data-Analysis (OMD), Faculty of Behavioural, Management, and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands.
| | - Marleen H M de Moor
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- Department of Clinical Child and Family Studies, VU University Amsterdam, Amsterdam, The Netherlands
- Department of Methods, VU University Amsterdam, Amsterdam, The Netherlands
| | - Karin J H Verweij
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, USA
| | - Michelle Luciano
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Alejandro Arias Vasquez
- Donders Institute for Cognitive Neuroscience, Radboud University Nijmegen, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | | | - Jaime Derringer
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Scott D Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Amy B Hart
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | - Jennifer E Huffman
- MRC Human Genetics Unit, MRC IGMM, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - Bettina Konte
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Minyoung Lee
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Mike Miller
- Department of Psychology, University of Minnesota, Minneapolis, USA
| | - Teresa Nutile
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, Italy
| | | | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Alexander Viktorin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Juho Wedenoja
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Abdel Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Goncalo R Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Daniel E Adkins
- Pharmacotherapy & Outcomes Science, Virginia Commonwealth University, Richmond, VA, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jüri Allik
- Department of Psychology, University of Tartu, Tartu, Estonia
- Estonian Academy of Sciences, Tallinn, Estonia
| | - Katja Appel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Timothy B Bigdeli
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Fabio Busonero
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Harry Campbell
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Paul T Costa
- Behavioral Medicine Research Center, Duke University School of Medicine, Durham, NC, USA
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Gail Davies
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Harriet de Wit
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Jun Ding
- Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Barbara E Engelhardt
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Johan G Eriksson
- Folkhälsan Research Center, Helsinki, Finland
- National Institute for Health and Welfare (THL), Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Unit of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Vasa Central Hospital, Vaasa, Finland
| | - Iryna O Fedko
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | | | - Barbara Franke
- Donders Institute for Cognitive Neuroscience, Radboud University Nijmegen, Nijmegen, The Netherlands
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Ina Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Richard Grucza
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kati Heinonen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | | | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University of Greifswald, Greifswald, Germany
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, USA
| | - Joost Janzing
- Department of Psychiatry, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Markus Jokela
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - John P Kemp
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Translational Research Institute, University of Queensland Diamantina Institute, Brisbane, Australia
| | - Matthew G Kirkpatrick
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Antti Latvala
- Department of Public Health, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland
| | - David C Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Pamela A F Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Chiara Magri
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan Marten
- MRC Human Genetics Unit, MRC IGMM, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - Andrea Maschio
- Istituto di Ricerca Genetica e Biomedica (IRGB), CNR, Monserrato, Italy
| | - Hamdi Mbarek
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Department of Biotechnology, University of Tartu, Tartu, Estonia
| | - Yuri Milaneschi
- Department of Psychiatry, EMGO+ Institute, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Michel G Nivard
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Klaasjan G Ouwens
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - Aarno Palotie
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Erik Pettersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Yong Qian
- Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Laura Pulkki-Råback
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Anu Realo
- Department of Psychology, University of Tartu, Tartu, Estonia
| | - Richard J Rose
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, Italy
| | - Carsten O Schmidt
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Wendy S Slutske
- Department of Psychological Sciences and Missouri Alcoholism Research Center, University of Missouri, Columbia, MO, USA
| | - Rossella Sorice
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, Italy
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Beate St Pourcain
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
- School of Experimental Psychology, University of Bristol, Bristol, UK
| | - Angelina R Sutin
- National Institute on Aging, NIH, Baltimore, MD, USA
- College of Medicine, Florida State University, Tallahassee, FL, USA
| | - Nicholas J Timpson
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Holly Trochet
- MRC Human Genetics Unit, MRC IGMM, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - Sita Vermeulen
- Department of Human Genetics, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Eero Vuoksimaa
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Jasper Wouda
- Department of Research Methodology, Measurement and Data-Analysis (OMD), Faculty of Behavioural, Management, and Social Sciences, University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
| | | | - Lina Zgaga
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Department of Public Health and Primary Care, Trinity College Dublin, Dublin, Ireland
| | - David Porteous
- Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, UK
| | - Alessandra Minelli
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Abraham A Palmer
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, USA
| | - Dan Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Marina Ciullo
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, Italy
| | - Caroline Hayward
- MRC Human Genetics Unit, MRC IGMM, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - Igor Rudan
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Estonian Academy of Sciences, Tallinn, Estonia
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare (THL), Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Ian J Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - James F Wilson
- MRC Human Genetics Unit, MRC IGMM, Western General Hospital, University of Edinburgh, Edinburgh, UK
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | | | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - John M Hettema
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- Department of Psychiatry and Psychotherapy, HELIOS Hospital Stralsund, Stralsund, Germany
| | - Brenda W J H Penninx
- Department of Psychiatry, EMGO+ Institute, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - David M Evans
- Medical Research Council Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Antonio Terracciano
- Folkhälsan Research Center, Helsinki, Finland
- National Institute on Aging, NIH, Baltimore, MD, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, USA
- Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | | | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
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Thomas SA, Weeks JW, Dougherty LR, Lipton MF, Daruwala SE, Kline K, De Los Reyes A. Allelic Variation of Risk for Anxiety Symptoms Moderates the Relation Between Adolescent Safety Behaviors and Social Anxiety Symptoms. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2015; 37:597-610. [PMID: 26692635 PMCID: PMC4675354 DOI: 10.1007/s10862-015-9488-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Social anxiety often develops in adolescence, and precedes the onset of depression and substance use disorders. The link between social anxiety and use of behaviors to minimize distress in social situations (i.e., safety behaviors) is strong and for some patients, this link poses difficulty for engaging in, and benefiting from, exposure-based treatment. Yet, little is known about whether individual differences may moderate links between social anxiety and safety behaviors, namely variations in genetic alleles germane to anxiety. We examined the relation between adolescent social anxiety and expressions of safety behaviors, and whether allelic variation for anxiety moderates this relation. Adolescents (n=75; ages 14-17) were recruited from two larger studies investigating measurement of family relationships or adolescent social anxiety. Adolescents completed self-report measures about social anxiety symptoms and use of safety behaviors. They also provided saliva samples to assess allelic variations for anxiety from two genetic polymorphisms (BDNF rs6265; TAQ1A rs1800497). Controlling for adolescent age and gender, we observed a significant interaction between social anxiety symptoms and allelic variation (β=0.37, t=2.41, p=.02). Specifically, adolescents carrying allelic variations for anxiety evidenced a statistically significant and relatively strong positive relation between social anxiety symptoms and safety behaviors (β=0.73), whereas adolescents not carrying allelic variation evidenced a statistically non-significant and relatively weak relation (β=0.22). These findings have important implications for treating adolescent social anxiety, in that we identified an individual difference variable that can be used to identify people who evidence a particularly strong link between use of safety behaviors and expressing social anxiety.
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Affiliation(s)
- Sarah A. Thomas
- Comprehensive Assessment and Intervention Program, Department of Psychology, University of Maryland, Biology/Psychology Building, Room 3123H, College Park, MD 20742, USA
| | | | - Lea R. Dougherty
- Department of Psychology, University of Maryland, College Park, MD, USA
| | - Melanie F. Lipton
- Comprehensive Assessment and Intervention Program, Department of Psychology, University of Maryland, Biology/Psychology Building, Room 3123H, College Park, MD 20742, USA
| | - Samantha E. Daruwala
- Comprehensive Assessment and Intervention Program, Department of Psychology, University of Maryland, Biology/Psychology Building, Room 3123H, College Park, MD 20742, USA
| | - Kathryn Kline
- Comprehensive Assessment and Intervention Program, Department of Psychology, University of Maryland, Biology/Psychology Building, Room 3123H, College Park, MD 20742, USA
| | - Andres De Los Reyes
- Comprehensive Assessment and Intervention Program, Department of Psychology, University of Maryland, Biology/Psychology Building, Room 3123H, College Park, MD 20742, USA
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47
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Cadherin-13, a risk gene for ADHD and comorbid disorders, impacts GABAergic function in hippocampus and cognition. Transl Psychiatry 2015; 5:e655. [PMID: 26460479 PMCID: PMC4930129 DOI: 10.1038/tp.2015.152] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 07/11/2015] [Indexed: 12/14/2022] Open
Abstract
Cadherin-13 (CDH13), a unique glycosylphosphatidylinositol-anchored member of the cadherin family of cell adhesion molecules, has been identified as a risk gene for attention-deficit/hyperactivity disorder (ADHD) and various comorbid neurodevelopmental and psychiatric conditions, including depression, substance abuse, autism spectrum disorder and violent behavior, while the mechanism whereby CDH13 dysfunction influences pathogenesis of neuropsychiatric disorders remains elusive. Here we explored the potential role of CDH13 in the inhibitory modulation of brain activity by investigating synaptic function of GABAergic interneurons. Cellular and subcellular distribution of CDH13 was analyzed in the murine hippocampus and a mouse model with a targeted inactivation of Cdh13 was generated to evaluate how CDH13 modulates synaptic activity of hippocampal interneurons and behavioral domains related to psychopathologic (endo)phenotypes. We show that CDH13 expression in the cornu ammonis (CA) region of the hippocampus is confined to distinct classes of interneurons. Specifically, CDH13 is expressed by numerous parvalbumin and somatostatin-expressing interneurons located in the stratum oriens, where it localizes to both the soma and the presynaptic compartment. Cdh13(-/-) mice show an increase in basal inhibitory, but not excitatory, synaptic transmission in CA1 pyramidal neurons. Associated with these alterations in hippocampal function, Cdh13(-/-) mice display deficits in learning and memory. Taken together, our results indicate that CDH13 is a negative regulator of inhibitory synapses in the hippocampus, and provide insights into how CDH13 dysfunction may contribute to the excitatory/inhibitory imbalance observed in neurodevelopmental disorders, such as ADHD and autism.
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48
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High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice. Genetics 2015; 198:103-16. [PMID: 25236452 DOI: 10.1534/genetics.114.167056] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Genetic influences on anxiety disorders are well documented; however, the specific genes underlying these disorders remain largely unknown. To identify quantitative trait loci (QTL) for conditioned fear and open field behavior, we used an F2 intercross (n = 490) and a 34th-generation advanced intercross line (AIL) (n = 687) from the LG/J and SM/J inbred mouse strains. The F2 provided strong support for several QTL, but within wide chromosomal regions. The AIL yielded much narrower QTL, but the results were less statistically significant, despite the larger number of mice. Simultaneous analysis of the F2 and AIL provided strong support for QTL and within much narrower regions. We used a linear mixed-model approach, implemented in the program QTLRel, to correct for possible confounding due to familial relatedness. Because we recorded the full pedigree, we were able to empirically compare two ways of accounting for relatedness: using the pedigree to estimate kinship coefficients and using genetic marker estimates of "realized relatedness." QTL mapping using the marker-based estimates yielded more support for QTL, but only when we excluded the chromosome being scanned from the marker-based relatedness estimates. We used a forward model selection procedure to assess evidence for multiple QTL on the same chromosome. Overall, we identified 12 significant loci for behaviors in the open field and 12 significant loci for conditioned fear behaviors. Our approach implements multiple advances to integrated analysis of F2 and AILs that provide both power and precision, while maintaining the advantages of using only two inbred strains to map QTL.
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49
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Power RA, Pluess M. Heritability estimates of the Big Five personality traits based on common genetic variants. Transl Psychiatry 2015; 5:e604. [PMID: 26171985 PMCID: PMC5068715 DOI: 10.1038/tp.2015.96] [Citation(s) in RCA: 88] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 06/01/2015] [Indexed: 12/16/2022] Open
Abstract
According to twin studies, the Big Five personality traits have substantial heritable components explaining 40-60% of the variance, but identification of associated genetic variants has remained elusive. Consequently, knowledge regarding the molecular genetic architecture of personality and to what extent it is shared across the different personality traits is limited. Using genomic-relatedness-matrix residual maximum likelihood analysis (GREML), we here estimated the heritability of the Big Five personality factors (extraversion, agreeableness, conscientiousness, neuroticism and openness for experience) in a sample of 5011 European adults from 527,469 single-nucleotide polymorphisms across the genome. We tested for the heritability of each personality trait, as well as for the genetic overlap between the personality factors. We found significant and substantial heritability estimates for neuroticism (15%, s.e. = 0.08, P = 0.04) and openness (21%, s.e. = 0.08, P < 0.01), but not for extraversion, agreeableness and conscientiousness. The bivariate analyses showed that the variance explained by common variants entirely overlapped between neuroticism and openness (rG = 1.00, P < 0.001), despite low phenotypic correlation (r = - 0.09, P < 0.001), suggesting that the remaining unique heritability may be determined by rare or structural variants. As far as we are aware of, this is the first study estimating the shared and unique heritability of all Big Five personality traits using the GREML approach. Findings should be considered exploratory and suggest that detectable heritability estimates based on common variants is shared between neuroticism and openness to experiences.
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Affiliation(s)
- R A Power
- MRC Social Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - M Pluess
- Department of Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, London, UK,Department of Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK. E-mail:
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50
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Kim BH, Kim HN, Roh SJ, Lee MK, Yang S, Lee SK, Sung YA, Chung HW, Cho NH, Shin C, Sung J, Kim HL. GWA meta-analysis of personality in Korean cohorts. J Hum Genet 2015; 60:455-60. [PMID: 25994864 DOI: 10.1038/jhg.2015.52] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Revised: 03/06/2015] [Accepted: 04/08/2015] [Indexed: 12/11/2022]
Abstract
Personality is a determinant of behavior and lifestyle that is associated with health and human diseases. Despite the heritability of personality traits is well established, the understanding of the genetic contribution to personality trait variation is extremely limited. To identify genetic variants associated with each of the five dimensions of personality, we performed a genome-wide association (GWA) meta-analysis of three cohorts, followed by comparison of a family cohort. Personality traits were measured with the Revised NEO Personality Inventory for the five-factor model (FFM) of personality. We investigated the top five single-nucleotide polymorphisms (SNPs) for each trait, and revealed the most highly association with neuroticism and TACC2 (rs1010657, P=8.79 × 10(-7)), extraversion and PTPN12 (rs12537271, P=1.47 × 10(-7)), openness and IMPAD1 (rs16921695, P=5 × 10(-8)), agreeableness and RPS29 (rs8015351, P=1.27 × 10(-6)) and conscientiousness and LMO4 (rs912765, P=2.91 × 10(-6)). It had no SNP reached the GWA study threshold (P<5 × 10(-8)). When expanded the SNPs up to top 100, the correlation of PTPRD (rs1029089) and agreeableness was confirmed in Healthy Twin cohort with other 13 SNPs. This GWA meta-analysis on FFM personality traits is meaningful as it was the first on a non-Caucasian population targeted to FFM of personality traits.
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Affiliation(s)
- Bo-Hye Kim
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Han-Na Kim
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Seung-Ju Roh
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Mi Kyeong Lee
- Complex Disease and Genetic Epidemiology Branch, Department of Epidemiology and Institute of Environment and Health, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Sarah Yang
- Complex Disease and Genetic Epidemiology Branch, Department of Epidemiology and Institute of Environment and Health, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Seung Ku Lee
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Yeon-Ah Sung
- Department of Internal Medicine, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Hye Won Chung
- Department of Obstetrics and Gynecology, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Nam H Cho
- Department of Preventive Medicine, School of Medicine, Ajou University, Suwon, Republic of Korea
| | - Chol Shin
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Korea University Hospital, Ansan, Republic of Korea
| | - Joohon Sung
- Complex Disease and Genetic Epidemiology Branch, Department of Epidemiology and Institute of Environment and Health, School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Hyung-Lae Kim
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, Republic of Korea
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