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Shalimova A, Babasieva V, Chubarev VN, Tarasov VV, Schiöth HB, Mwinyi J. Therapy response prediction in major depressive disorder: current and novel genomic markers influencing pharmacokinetics and pharmacodynamics. Pharmacogenomics 2021; 22:485-503. [PMID: 34018822 DOI: 10.2217/pgs-2020-0157] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Major depressive disorder is connected with high rates of functional disability and mortality. About a third of the patients are at risk of therapy failure. Several pharmacogenetic markers especially located in CYP450 genes such as CYP2D6 or CYP2C19 are of relevance for therapy outcome prediction in major depressive disorder but a further optimization of predictive tools is warranted. The article summarizes the current knowledge on pharmacogenetic variants, therapy effects and side effects of important antidepressive therapeutics, and sheds light on new methodological approaches for therapy response estimation based on genetic markers with relevance for pharmacokinetics, pharmacodynamics and disease pathology identified in genome-wide association study analyses, highlighting polygenic risk score analysis as a tool for further optimization of individualized therapy outcome prediction.
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Affiliation(s)
- Alena Shalimova
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Viktoria Babasieva
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Vladimir N Chubarev
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Vadim V Tarasov
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.,Institute of Translational Medicine & Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Helgi B Schiöth
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.,Institute of Translational Medicine & Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Jessica Mwinyi
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden
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52
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Wendt FR, Pathak GA, Levey DF, Nuñez YZ, Overstreet C, Tyrrell C, Adhikari K, De Angelis F, Tylee DS, Goswami A, Krystal JH, Abdallah CG, Stein MB, Kranzler HR, Gelernter J, Polimanti R. Sex-stratified gene-by-environment genome-wide interaction study of trauma, posttraumatic-stress, and suicidality. Neurobiol Stress 2021; 14:100309. [PMID: 33665242 PMCID: PMC7905234 DOI: 10.1016/j.ynstr.2021.100309] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 01/20/2021] [Accepted: 02/10/2021] [Indexed: 12/27/2022] Open
Abstract
Epidemiologic studies recognize that trauma and posttraumatic stress are associated with heightened suicidal behavior severity, yet examination of these associations from a genetic perspective is limited. We performed a multivariate gene-by-environment genome-wide interaction study (GEWIS) of suicidality in 123,633 individuals using a covariance matrix based on 26 environments related to traumatic experiences, posttraumatic stress, social support, and socioeconomic status. We discovered five suicidality risk loci, including the male-associated rs2367967 (CWC22), which replicated in an independent cohort. All GEWIS-significant loci exhibited interaction effects where at least 5% of the sample had environmental profiles conferring opposite SNP effects from the majority. We identified PTSD as a primary driving environment for GxE at suicidality risk loci. The male suicidality GEWIS was enriched for three middle-temporal-gyrus inhibitory neuron transcriptomic profiles: SCUBE- and PVALB-expressing cells (β = 0.028, p = 3.74 × 10-4), OPRM1-expressing cells (β = 0.030, p = 0.001), and SPAG17-expressing cells (β = 0.029, p = 9.80 × 10-4). Combined with gene-based analyses (CNTN5 p association = 2.38 × 10-9, p interaction = 1.51 × 10-3; PSMD14 p association = 2.04 × 10-7, p interaction = 7.76 × 10-6; HEPACAM p association = 2.43 × 10-6, p interaction = 3.82 × 10-7) including information about brain chromatin interaction profiles (UBE2E3 in male neuron p = 1.07 × 10-5), our GEWIS points to extracellular matrix biology and synaptic plasticity as biological interactors with the effects of potentially modifiable lifetime traumatic experiences on genetic risk for suicidality. Characterization of molecular basis for the effects of traumatic experience and posttraumatic stress on risk of suicidal behaviors may help to identify novel targets for which more effective treatments can be developed for use in high-risk populations.
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Affiliation(s)
- Frank R. Wendt
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Gita A. Pathak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Daniel F. Levey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Yaira Z. Nuñez
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Cassie Overstreet
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
- National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, West Haven CT, 06520, USA
| | - Chelsea Tyrrell
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Keyrun Adhikari
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Flavio De Angelis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Daniel S. Tylee
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Aranyak Goswami
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - John H. Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Chadi G. Abdallah
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
| | - Murray B. Stein
- Psychiatry Service, VA San Diego Healthcare System, San Diego, CA, USA
- Departments of Psychiatry and Family Medicine & Public Health, University of California San Diego, La Jolla, CA, USA
| | - Henry R. Kranzler
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Crescenz Veterans Affairs Medical Center, Philadelphia, PA, 19104, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
- Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT, 06510, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06510, USA
- VA CT Healthcare System, West Haven, CT, 06520, USA
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53
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Icick R, Bloch V, Prince N, Karsinti E, Lépine JP, Laplanche JL, Mouly S, Marie-Claire C, Brousse G, Bellivier F, Vorspan F. Clustering suicidal phenotypes and genetic associations with brain-derived neurotrophic factor in patients with substance use disorders. Transl Psychiatry 2021; 11:72. [PMID: 33479229 PMCID: PMC7820499 DOI: 10.1038/s41398-021-01200-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 06/13/2020] [Accepted: 07/03/2020] [Indexed: 11/09/2022] Open
Abstract
Suicide attempts (SA), especially recurrent SA or serious SA, are common in substance use disorders (SUD). However, the genetic component of SA in SUD samples remains unclear. Brain-derived neurotrophic factor (BDNF) alleles and levels have been repeatedly involved in stress-related psychopathology. This investigation uses a within-cases study of BDNF and associated factors in three suicidal phenotypes ('any', 'recurrent', and 'serious') of outpatients seeking treatment for opiate and/or cocaine use disorder. Phenotypic characterization was ascertained using a semi-structured interview. After thorough quality control, 98 SNPs of BDNF and associated factors (the BDNF pathway) were extracted from whole-genome data, leaving 411 patients of Caucasian ancestry, who had reliable data regarding their SA history. Binary and multinomial regression with the three suicidal phenotypes were further performed to adjust for possible confounders, along with hierarchical clustering and compared to controls (N = 2504). Bayesian analyses were conducted to detect pleiotropy across the suicidal phenotypes. Among 154 (37%) ever suicide attempters, 104 (68%) reported at least one serious SA and 96 (57%) two SA or more. The median number of non-tobacco SUDs was three. The BDNF gene remained associated with lifetime SA in SNP-based (rs7934165, rs10835210) and gene-based tests within the clinical sample. rs10835210 clustered with serious SA. Bayesian analysis identified genetic correlation between 'any' and 'serious' SA regarding rs7934165. Despite limitations, 'serious' SA was shown to share both clinical and genetic risk factors of SA-not otherwise specified, suggesting a shared BDNF-related pathophysiology of SA in this population with multiple SUDs.
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Affiliation(s)
- Romain Icick
- Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis-Lariboisière-Fernand Widal, Paris, France. .,INSERM U1144, "Therapeutic Optimization in Neuropsychopharmacology", Paris, France. .,Université de Paris, Inserm UMR-S1144, Paris, France.
| | - Vanessa Bloch
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France ,grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
| | - Nathalie Prince
- grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
| | - Emily Karsinti
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France ,grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,ED139, Paris Nanterre University, Nanterre, France
| | - Jean-Pierre Lépine
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France ,grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
| | - Jean-Louis Laplanche
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France
| | - Stéphane Mouly
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France ,grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
| | - Cynthia Marie-Claire
- grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
| | - Georges Brousse
- grid.494717.80000000115480420Inserm UMR-1107, Neuro-Dol, Université Clermont-Auvergne, Clermont-Ferrand, France
| | - Frank Bellivier
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France ,grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
| | - Florence Vorspan
- grid.50550.350000 0001 2175 4109Assistance Publique-Hôpitaux de Paris (AP-HP), Groupe Hospitalier Saint-Louis–Lariboisière–Fernand Widal, Paris, France ,grid.7429.80000000121866389INSERM U1144, “Therapeutic Optimization in Neuropsychopharmacology”, Paris, France ,Université de Paris, Inserm UMR-S1144, Paris, France
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54
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Polimanti R, Levey DF, Pathak GA, Wendt FR, Nunez YZ, Ursano RJ, Kessler RC, Kranzler HR, Stein MB, Gelernter J. Multi-environment gene interactions linked to the interplay between polysubstance dependence and suicidality. Transl Psychiatry 2021; 11:34. [PMID: 33431810 PMCID: PMC7801457 DOI: 10.1038/s41398-020-01153-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 11/27/2020] [Accepted: 12/03/2020] [Indexed: 12/19/2022] Open
Abstract
Substance dependence diagnoses (SDs) are important risk factors for suicidality. We investigated the associations of multiple SDs with different suicidality outcomes, testing how genetic background moderates these associations. The Yale-Penn cohort (N = 15,557) was recruited to investigate the genetics of SDs. The Army STARRS (Study to Assess Risk and Resilience in Servicemembers) cohort (N = 11,236) was recruited to evaluate mental health risk and resilience among Army personnel. We applied multivariate logistic regression to investigate the associations of SDs with suicidality and, in the Yale-Penn cohort, we used the structured linear mixed model (StructLMM) to study multivariate gene-environment interactions. In Yale-Penn, lifetime polysubstance dependence was strongly associated with lifetime suicidality: having five SDs showed an association with suicidality, from odds ratio (OR) = 6.77 (95% confidence interval, CI = 5.74-7.99) for suicidal ideation (SI) to OR = 3.61 (95% CI = 2.7-4.86) for suicide attempt (SA). In Army STARRS, having multiple substance use disorders for alcohol and/or drugs was associated with increased suicidality ranging from OR = 2.88 (95% CI = 2.6-3.19) for SI to OR = 3.92 (95% CI = 3.19-4.81) for SA. In Yale-Penn, we identified multivariate gene-environment interactions (Bayes factors, BF > 0) of SI with respect to a gene cluster on chromosome 16 (LCAT, p = 1.82 × 10-7; TSNAXIP1, p = 2.13 × 10-7; CENPT, p = 2.32 × 10-7; PARD6A, p = 5.57 × 10-7) for opioid dependence (BF = 12.2), cocaine dependence (BF = 12.1), nicotine dependence (BF = 9.2), and polysubstance dependence (BF = 2.1). Comorbidity of multiple SDs is a significant associated with suicidality and heritability of suicidality is partially moderated by multivariate gene interactions.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale School of Medicine, Yale University, West Haven, CT, USA. .,Veteran Affairs CT Healthcare System, West Haven, CT, USA.
| | - Daniel F. Levey
- grid.47100.320000000419368710Department of Psychiatry, Yale School of Medicine, Yale University, West Haven, CT USA ,Veteran Affairs CT Healthcare System, West Haven, CT USA
| | - Gita A. Pathak
- grid.47100.320000000419368710Department of Psychiatry, Yale School of Medicine, Yale University, West Haven, CT USA ,Veteran Affairs CT Healthcare System, West Haven, CT USA
| | - Frank R. Wendt
- grid.47100.320000000419368710Department of Psychiatry, Yale School of Medicine, Yale University, West Haven, CT USA ,Veteran Affairs CT Healthcare System, West Haven, CT USA
| | - Yaira Z. Nunez
- grid.47100.320000000419368710Department of Psychiatry, Yale School of Medicine, Yale University, West Haven, CT USA ,Veteran Affairs CT Healthcare System, West Haven, CT USA
| | - Robert J. Ursano
- grid.265436.00000 0001 0421 5525Center for the Study of Traumatic Stress, Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD USA
| | - Ronald C. Kessler
- grid.38142.3c000000041936754XDepartment of Health Care Policy, Harvard Medical School, Boston, MA USA
| | - Henry R. Kranzler
- grid.25879.310000 0004 1936 8972University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA ,grid.410355.60000 0004 0420 350XCrescenz Veterans Affairs Medical Center, Philadelphia, PA USA
| | - Murray B. Stein
- grid.266100.30000 0001 2107 4242Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA USA ,grid.410371.00000 0004 0419 2708Psychiatry Service, Veterans Affairs San Diego Healthcare System, San Diego, CA USA
| | - Joel Gelernter
- grid.47100.320000000419368710Department of Psychiatry, Yale School of Medicine, Yale University, West Haven, CT USA ,Veteran Affairs CT Healthcare System, West Haven, CT USA ,grid.47100.320000000419368710Departments of Genetics and Neuroscience, Yale University School of Medicine, New Haven, CT 06510 USA
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55
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Affiliation(s)
- J John Mann
- Department of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York (Mann, Rizk); Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York (Mann, Rizk); Department of Radiology, Columbia University Irving Medical Center, New York (Mann)
| | - Mina M Rizk
- Department of Psychiatry, Columbia University Irving Medical Center, Columbia University, New York (Mann, Rizk); Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York (Mann, Rizk); Department of Radiology, Columbia University Irving Medical Center, New York (Mann)
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56
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Shen H, Gelaye B, Huang H, Rondon MB, Sanchez S, Duncan LE. Polygenic prediction and GWAS of depression, PTSD, and suicidal ideation/self-harm in a Peruvian cohort. Neuropsychopharmacology 2020; 45:1595-1602. [PMID: 31926482 PMCID: PMC7419528 DOI: 10.1038/s41386-020-0603-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 12/30/2019] [Accepted: 12/31/2019] [Indexed: 01/06/2023]
Abstract
Genome-wide approaches including polygenic risk scores (PRSs) are now widely used in medical research; however, few studies have been conducted in low- and middle-income countries (LMICs), especially in South America. This study was designed to test the transferability of psychiatric PRSs to individuals with different ancestral and cultural backgrounds and to provide genome-wide association study (GWAS) results for psychiatric outcomes in this sample. The PrOMIS cohort (N = 3308) was recruited from prenatal care clinics at the Instituto Nacional Materno Perinatal (INMP) in Lima, Peru. Three major psychiatric outcomes (depression, PTSD, and suicidal ideation and/or self-harm) were scored by interviewers using valid Spanish questionnaires. Illumina Multi-Ethnic Global chip was used for genotyping. Standard procedures for PRSs and GWAS were used along with extra steps to rule out confounding due to ancestry. Depression PRSs significantly predicted depression, PTSD, and suicidal ideation/self-harm and explained up to 0.6% of phenotypic variation (minimum p = 3.9 × 10-6). The associations were robust to sensitivity analyses using more homogeneous subgroups of participants and alternative choices of principal components. Successful polygenic prediction of three psychiatric phenotypes in this Peruvian cohort suggests that genetic influences on depression, PTSD, and suicidal ideation/self-harm are at least partially shared across global populations. These PRS and GWAS results from this large Peruvian cohort advance genetic research (and the potential for improved treatments) for diverse global populations.
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Affiliation(s)
- Hanyang Shen
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Hailiang Huang
- grid.32224.350000 0004 0386 9924Massachusetts General Hospital, Boston, MA USA ,grid.66859.34Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Marta B. Rondon
- grid.11100.310000 0001 0673 9488Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Sixto Sanchez
- grid.441917.e0000 0001 2196 144XUniversidad Peruana de Ciencias Aplicadas, Lima, Perú ,Asociación Civil Proyectos en Salud, ACPROESA, Lima, Perú
| | - Laramie E. Duncan
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA USA
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57
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Gupta G, Deval R, Mishra A, Upadhyay S, Singh PK, Rao VR. Re-testing reported significant SNPs related to suicide in a historical high -risk isolated population from north east India. Hereditas 2020; 157:31. [PMID: 32680568 PMCID: PMC7368720 DOI: 10.1186/s41065-020-00144-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 07/07/2020] [Indexed: 02/08/2023] Open
Abstract
Background Genetic diathesis of suicide is supported by family and twin studies. Few candidate gene pathways are known, but does not explain fully the complexity of suicide genetic risk. Recent investigations opting for Genome-Wide Association Studies (GWAS) resulted in finding additional targets, but replication remained a challenge. In this respect small isolated population approach in several complex disease phenotypes is found encouraging. The present study is an attempt to re-test some of the reported significant SNPs for suicide among a small historical high- risk isolated population from Northeast India. Methods Two hundred ten cases (inclusive of depressed, suicide attempter and depressed + suicide attempter) and 249 controls were considered in the present study which were evaluated for the psychiatric parameters. Sixteen reported significant SNPs for suicide behaviour were re-tested using association approach under various genetic models. Networking by GeneMANIA tool was used for function prediction of the associated genes. Results Seven SNPs (of 6 genes) remained significant in different genetic models. On networking genes with significant SNPs IL7, RHEB, CTNN3, KCNIP4, ARFGEF3 are found in interaction with already known candidate gene pathways while SNP rs1109089 (RHEB) gained further support from earlier expression studies. NUGGC gene is in complete isolation. Conclusions Small population approach in replicating significant SNPs is useful in complex phenotypes like suicide. This study explored the region-specific demographics of India by identifying vulnerable population for suicide via genetic association analysis in bringing into academic and administrative forum, the importance of suicide as a disease and its biological basis.
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Affiliation(s)
- Gaurav Gupta
- Department of Biotechnology, Invertis University, Bareilly (U.P), India.,Department of Genetics, Osmania University, Hyderabad, 500007, India
| | - Ravi Deval
- Department of Biotechnology, Invertis University, Bareilly (U.P), India
| | - Anshuman Mishra
- VBRI Innovation Centre, New Delhi, India.,Institute of Advanced Materials (IAAM), 59053, Ulrika, Sweden
| | - Shashank Upadhyay
- Department of Biotechnology, Invertis University, Bareilly (U.P), India
| | - Piyoosh Kumar Singh
- Department of Anthropology, Delhi University, Delhi, India.,Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - V R Rao
- Department of Genetics, Osmania University, Hyderabad, 500007, India. .,Department of Anthropology, Delhi University, Delhi, India. .,Genome Foundation, Hyderabad, India.
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Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study. PLoS Med 2020; 17:e1003137. [PMID: 32479557 PMCID: PMC7263593 DOI: 10.1371/journal.pmed.1003137] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 05/04/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Identifying causal risk factors for self-harm is essential to inform preventive interventions. Epidemiological studies have identified risk factors associated with self-harm, but these associations can be subject to confounding. By implementing genetically informed methods to better account for confounding, this study aimed to better identify plausible causal risk factors for self-harm. METHODS AND FINDINGS Using summary statistics from 24 genome-wide association studies (GWASs) comprising 16,067 to 322,154 individuals, polygenic scores (PSs) were generated to index 24 possible individual risk factors for self-harm (i.e., mental health vulnerabilities, substance use, cognitive traits, personality traits, and physical traits) among a subset of UK Biobank participants (N = 125,925, 56.2% female) who completed an online mental health questionnaire in the period from 13 July 2016 to 27 July 2017. In total, 5,520 (4.4%) of these participants reported having self-harmed in their lifetime. In binomial regression models, PSs indexing 6 risk factors (major depressive disorder [MDD], attention deficit/hyperactivity disorder [ADHD], bipolar disorder, schizophrenia, alcohol dependence disorder, and lifetime cannabis use) predicted self-harm, with effect sizes ranging from odds ratio (OR) = 1.05 (95% CI 1.02 to 1.07, q = 0.008) for lifetime cannabis use to OR = 1.20 (95% CI 1.16 to 1.23, q = 1.33 × 10-35) for MDD. No systematic differences emerged between suicidal and non-suicidal self-harm. To further probe causal relationships, two-sample Mendelian randomisation (MR) analyses were conducted, with MDD, ADHD, and schizophrenia emerging as the most plausible causal risk factors for self-harm. The genetic liabilities for MDD and schizophrenia were associated with self-harm independently of diagnosis and medication. Main limitations include the lack of representativeness of the UK Biobank sample, that self-harm was self-reported, and the limited power of some of the included GWASs, potentially leading to possible type II error. CONCLUSIONS In addition to confirming the role of MDD, we demonstrate that ADHD and schizophrenia likely play a role in the aetiology of self-harm using multivariate genetic designs for causal inference. Among the many individual risk factors we simultaneously considered, our findings suggest that systematic detection and treatment of core psychiatric symptoms, including psychotic and impulsivity symptoms, may be beneficial among people at risk for self-harm.
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Wendt FR, Pathak GA, Tylee DS, Goswami A, Polimanti R. Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective. ACTA ACUST UNITED AC 2020; 4:2470547020924844. [PMID: 32518889 PMCID: PMC7254587 DOI: 10.1177/2470547020924844] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 04/17/2020] [Indexed: 12/15/2022]
Abstract
Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection of genetic risks per disorder or across multiple disorders. In this review, we discuss these heterogeneities and their consequences on the discovery of risk loci using large-scale genetic data. We primarily highlight the ways in which sex and diagnostic complexity contribute to risk locus discovery in schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, posttraumatic stress disorder, major depressive disorder, obsessive-compulsive disorder, Tourette’s syndrome and chronic tic disorder, anxiety disorders, suicidality, feeding and eating disorders, and substance use disorders. Genetic data also have facilitated discovery of clinically relevant subphenotypes also described here. Collectively, GWAS of psychiatric disorders revealed that the understanding of heterogeneity, polygenicity, and pleiotropy is critical to translate genetic findings into treatment strategies.
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Affiliation(s)
- Frank R Wendt
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Gita A Pathak
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Daniel S Tylee
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Aranyak Goswami
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
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60
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Mohsen H. Race and Genetics: Somber History, Troubled Present. THE YALE JOURNAL OF BIOLOGY AND MEDICINE 2020; 93:215-219. [PMID: 32226350 PMCID: PMC7087058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Following the completion of the Human Genome Project (HGP) in 2003, advances in DNA sequencing technologies further popularized the field of genomics and brought its social ramifications to the fore. Scholars across disciplines recently voiced serious concerns about the re-emergence of genomic research that might be used to justify racism. In this piece, I trace the history of attempts to biologize the concept of race and its diffused presence in today's genomic research. I then include a brief analysis inspired by concepts from the field of Science and Technology Studies (STS) to suggest selected ways to produce better scientific knowledge. The text highlights historic landmarks of interest to science practitioners curious about the ways science of the past co-shapes science of the present. I then argue that science has never been isolated from the socio-political climate it is produced in; instead, it has been morphed by its surroundings and historically used as a potent tool to justify systemic oppression.
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Affiliation(s)
- Hussein Mohsen
- Computational Biology and Bioinformatics, Yale University, New Haven, CT,History of Science and Medicine, Yale University, New Haven, CT,To whom all correspondence should be addressed: Hussein Mohsen, 266 Whitney Ave, Bass 426, New Haven, CT 06520; ORCID iD:0000-0002-6263-8865 Tel: 812-369-5253, E-mail:
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61
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Cheung S, Woo J, Maes MS, Zai CC. Suicide epigenetics, a review of recent progress. J Affect Disord 2020; 265:423-438. [PMID: 32090769 DOI: 10.1016/j.jad.2020.01.040] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 11/17/2019] [Accepted: 01/11/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Suicide results in over 800,000 deaths every year, making it a major public health concern worldwide. It is highly complex, with genetic and environmental influences. Epigenetic mechanisms, including DNA methylation, miRNA, and histone modifications, could explain the complex interplay of environmental risk factors with genetic risk factors in the emergence of suicidal behavior. METHODS Here, we review the literature on suicide epigenetics over the past 10 years. RESULTS There has been significant progress in the field of suicide epigenetics, with emerging findings in the brain-derived neurotrophic factor and hypothalamic-pituitary-adrenal axis genes. LIMITATIONS Studying patient subgroups is needed in order to extract more comparable and reproducible epigenetic findings in suicide. CONCLUSIONS It is crucial to consider suicidal patients or suicide victims' distal and proximal past history e.g., early-life adversity and psychiatric disorder in epigenetic studies of suicidality.
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Affiliation(s)
- Serina Cheung
- Neurogenetics Section, Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Canada
| | - Julia Woo
- Neurogenetics Section, Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Canada; Faculty of Medicine, University of Toronto, Canada
| | - Miriam S Maes
- Neurogenetics Section, Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Canada
| | - Clement C Zai
- Neurogenetics Section, Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Canada; Division of Brain and Therapeutics, Department of Psychiatry, University of Toronto, Canada; Institute of Medical Science, University of Toronto, Canada; Laboratory Medicine and Pathobiology, University of Toronto, Canada; Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
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62
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Orsolini L, Latini R, Pompili M, Serafini G, Volpe U, Vellante F, Fornaro M, Valchera A, Tomasetti C, Fraticelli S, Alessandrini M, La Rovere R, Trotta S, Martinotti G, Di Giannantonio M, De Berardis D. Understanding the Complex of Suicide in Depression: from Research to Clinics. Psychiatry Investig 2020; 17:207-221. [PMID: 32209966 PMCID: PMC7113180 DOI: 10.30773/pi.2019.0171] [Citation(s) in RCA: 162] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 02/27/2020] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE Amongst psychiatric disorders, major depressive disorder (MDD) is the most prevalent, by affecting approximately 15-17% of the population and showing a high suicide risk rate equivalent to around 15%. The present comprehensive overview aims at evaluating main research studies in the field of MDD at suicide risk, by proposing as well as a schematic suicide risk stratification and useful flow-chart for planning suicide preventive and therapeutic interventions for clinicians. METHODS A broad and comprehensive overview has been here conducted by using PubMed/Medline, combining the search strategy of free text terms and exploded MESH headings for the topics of 'Major Depressive Disorder' and 'Suicide' as following: ((suicide [Title/Abstract]) AND (major depressive disorder [Title/Abstract])). All articles published in English through May 31, 2019 were summarized in a comprehensive way. RESULTS Despite possible pathophysiological factors which may explain the complexity of suicide in MDD, scientific evidence supposed the synergic role of genetics, exogenous and endogenous stressors (i.e., interpersonal, professional, financial, as well as psychiatric disorders), epigenetic, the hypothalamic-pituitary-adrenal stress-response system, the involvement of the monoaminergic neurotransmitter systems, particularly the serotonergic ones, the lipid profile, neuro-immunological biomarkers, the Brain-derived neurotrophic factor and other neuromodulators. CONCLUSION The present overview reported that suicide is a highly complex and multifaceted phenomenon in which a large plethora of mechanisms could be variable implicated, particularly amongst MDD subjects. Beyond these consideration, modern psychiatry needs a better interpretation of suicide risk with a more careful assessment of suicide risk stratification and planning of clinical and treatment interventions.
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Affiliation(s)
- Laura Orsolini
- Psychopharmacology, Drug Misuse and Novel Psychoactive Substances Research Unit, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.,Neomesia Mental Health, Villa Jolanda Hospital, Jesi, Italy.,Polyedra, Teramo, Italy
| | - Roberto Latini
- Neomesia Mental Health, Villa Jolanda Hospital, Jesi, Italy
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, S. Andrea Hospital, Sapienza University, Rome, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Umberto Volpe
- Department of Clinical Neurosciences/DIMSC, School of Medicine, Section of Psychiatry, Polytechnic University of Marche, Ancona, Italy
| | - Federica Vellante
- Department of Neuroscience, Imaging and Clinical Science, Chair of Psychiatry, University of "G. D'Annunzio", Chieti, Italy
| | - Michele Fornaro
- Polyedra, Teramo, Italy.,Department of Psychiatry, Federico II University, Naples, Italy
| | - Alessandro Valchera
- Polyedra, Teramo, Italy.,Villa S. Giuseppe Hospital, Hermanas Hospitalarias, Ascoli Piceno, Italy
| | - Carmine Tomasetti
- Department of Mental Health, National Health Service, Psychiatric Service of Diagnosis and Treatment, Hospital "SS. Annunziata" ASL 4, Giulianova, Italy
| | - Silvia Fraticelli
- Department of Neuroscience, Imaging and Clinical Science, Chair of Psychiatry, University of "G. D'Annunzio", Chieti, Italy
| | - Marco Alessandrini
- Department of Neuroscience, Imaging and Clinical Science, Chair of Psychiatry, University of "G. D'Annunzio", Chieti, Italy
| | - Raffaella La Rovere
- Department of Mental Health, National Health Service, Azienda Sanitaria Locale, Pescara, Italy
| | - Sabatino Trotta
- Department of Mental Health, National Health Service, Azienda Sanitaria Locale, Pescara, Italy
| | - Giovanni Martinotti
- Department of Neuroscience, Imaging and Clinical Science, Chair of Psychiatry, University of "G. D'Annunzio", Chieti, Italy
| | - Massimo Di Giannantonio
- Department of Neuroscience, Imaging and Clinical Science, Chair of Psychiatry, University of "G. D'Annunzio", Chieti, Italy
| | - Domenico De Berardis
- Department of Neuroscience, Imaging and Clinical Science, Chair of Psychiatry, University of "G. D'Annunzio", Chieti, Italy.,Department of Mental Health, National Health Service, Psychiatric Service of Diagnosis and Treatment, Hospital "G. Mazzini", ASL 4, Teramo, Italy
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63
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Bentley AR, Callier SL, Rotimi CN. Evaluating the promise of inclusion of African ancestry populations in genomics. NPJ Genom Med 2020; 5:5. [PMID: 32140257 PMCID: PMC7042246 DOI: 10.1038/s41525-019-0111-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 12/16/2019] [Indexed: 12/24/2022] Open
Abstract
The lack of representation of diverse ancestral backgrounds in genomic research is well-known, and the resultant scientific and ethical limitations are becoming increasingly appreciated. The paucity of data on individuals with African ancestry is especially noteworthy as Africa is the birthplace of modern humans and harbors the greatest genetic diversity. It is expected that greater representation of those with African ancestry in genomic research will bring novel insights into human biology, and lead to improvements in clinical care and improved understanding of health disparities. Now that major efforts have been undertaken to address this failing, is there evidence of these anticipated advances? Here, we evaluate the promise of including diverse individuals in genomic research in the context of recent literature on individuals of African ancestry. In addition, we discuss progress and achievements on related technological challenges and diversity among scientists conducting genomic research.
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Affiliation(s)
- Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Shawneequa L. Callier
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC USA
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
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64
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Convergence of recent GWAS data for suicidality with previous blood biomarkers: independent reproducibility using independent methodologies in independent cohorts. Mol Psychiatry 2020; 25:19-21. [PMID: 31383925 DOI: 10.1038/s41380-019-0465-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Revised: 06/01/2019] [Accepted: 06/10/2019] [Indexed: 11/09/2022]
Abstract
Recent genetic studies for suicidality, including four independent GWAS, have not reproduced each other's top implicated genes. While arguments of heterogeneity, methodology, and sample sizes can be invoked, heterogeneity is a feature, not a "bug" (as is well understood in biology and in personalized medicine). A comprehensive body of work on blood biomarkers for suicidality has previously been published by our group. We examine the issue of reproducibility using these different approaches, and provide reassuring evidence for convergence of findings, as well as some generalizable insights.
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65
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Lengvenyte A, Conejero I, Courtet P, Olié E. Biological bases of suicidal behaviours: A narrative review. Eur J Neurosci 2019; 53:330-351. [PMID: 31793103 DOI: 10.1111/ejn.14635] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 11/05/2019] [Accepted: 11/28/2019] [Indexed: 12/13/2022]
Abstract
Suicidal behaviour is a multifaceted phenomenon that concerns all human populations. It has been suggested that a complex interaction between the individual genetic profile and environmental factors throughout life underlies the pathophysiology of suicidal behaviour. Although epidemiological and genetic studies suggest the existence of a genetic component, exposure to biological and psychosocial adversities, especially during critical developmental periods, also contributes to altering the biological responses to threat and pleasure. This results in amplified maladaptive cognitive and behavioural traits and states associated with suicidal behaviours. Alterations in the cognitive inhibition and decision-making capacity have been implicated in suicidal behaviours. Structural and functional changes in key brain regions and networks, such as prefrontal cortex, insula and default mode network, may underlie this relationship. Furthermore, the shift from health to suicidal behaviour incorporates complex and dynamic changes in the immune and stress responses, monoaminergic system, gonadal system and neuroplasticity. In this review, we describe the major findings of epidemiological, genetic, neuroanatomical, neuropsychological, immunological and neuroendocrinological studies on suicide behaviours to provide a solid background for future research in this field. This broad overview of the biological bases of suicide should promote neuroscience research on suicidal behaviours. This might lead to improved biological models and to the identification of evidence-based biomarkers, treatment options and preventive strategies.
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Affiliation(s)
- Aiste Lengvenyte
- Department of Emergency Psychiatry & Acute Care, CHU Montpellier, University of Montpellier, Montpellier, France.,Faculty of Medicine, Institute of Clinical Medicine, Psychiatric Clinic, Vilnius University, Vilnius, Lithuania
| | - Ismael Conejero
- Neuropsychiatry: Epidemiological and Clinical Research, Inserm Unit 1061, Montpellier, France.,Department of Psychiatry, CHU Nimes, University of Montpellier, Montpellier, France
| | - Philippe Courtet
- Department of Emergency Psychiatry & Acute Care, CHU Montpellier, University of Montpellier, Montpellier, France.,Neuropsychiatry: Epidemiological and Clinical Research, Inserm Unit 1061, Montpellier, France
| | - Emilie Olié
- Department of Emergency Psychiatry & Acute Care, CHU Montpellier, University of Montpellier, Montpellier, France.,Neuropsychiatry: Epidemiological and Clinical Research, Inserm Unit 1061, Montpellier, France
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66
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Genome-wide association studies identify polygenic effects for completed suicide in the Japanese population. Neuropsychopharmacology 2019; 44:2119-2124. [PMID: 31476763 PMCID: PMC6887868 DOI: 10.1038/s41386-019-0506-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/07/2019] [Accepted: 08/24/2019] [Indexed: 12/02/2022]
Abstract
Suicide is a significant public health problem worldwide, and several Asian countries including Japan have relatively high suicide rates on a world scale. Twin, family, and adoption studies have suggested high heritability for suicide, but genetics lags behind due to difficulty in obtaining samples from individuals who died by suicide, especially in non-European populations. In this study, we carried out genome-wide association studies combining two independent datasets totaling 746 suicides and 14,049 non-suicide controls in the Japanese population. Although we identified no genome-wide significant single-nucleotide polymorphisms (SNPs), we demonstrated significant SNP-based heritability (35-48%; P < 0.001) for completed suicide by genomic restricted maximum-likelihood analysis and a shared genetic risk between two datasets (Pbest = 2.7 × 10-13) by polygenic risk score analysis. This study is the first genome-wide association study for suicidal behavior in an East Asian population, and our results provided the evidence of polygenic architecture underlying completed suicide.
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67
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Abstract
Although recent years have seen large decreases in the overall global rate of suicide fatalities, this trend is not reflected everywhere. Suicide and suicidal behaviour continue to present key challenges for public policy and health services, with increasing suicide deaths in some countries such as the USA. The development of suicide risk is complex, involving contributions from biological (including genetics), psychological (such as certain personality traits), clinical (such as comorbid psychiatric illness), social and environmental factors. The involvement of multiple risk factors in conveying risk of suicide means that determining an individual's risk of suicide is challenging. Improving risk assessment, for example, by using computer testing and genetic screening, is an area of ongoing research. Prevention is key to reduce the number of suicide deaths and prevention efforts include universal, selective and indicated interventions, although these interventions are often delivered in combination. These interventions, combined with psychological (such as cognitive behavioural therapy, caring contacts and safety planning) and pharmacological treatments (for example, clozapine and ketamine) along with coordinated social and public health initiatives, should continue to improve the management of individuals who are suicidal and decrease suicide-associated morbidity.
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68
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Hirata T, Otsuka I, Okazaki S, Mouri K, Horai T, Boku S, Takahashi M, Ueno Y, Sora I, Shirakawa O, Hishimoto A. Major depressive disorder-associated SIRT1 locus affects the risk for suicide in women after middle age. Psychiatry Res 2019; 278:141-145. [PMID: 31176830 DOI: 10.1016/j.psychres.2019.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 05/20/2019] [Accepted: 06/01/2019] [Indexed: 01/07/2023]
Abstract
A recent genome-wide association study (GWAS) for major depressive disorder (MDD) in Chinese women identified a single-nucleotide polymorphism (SNP), rs12415800, near the Sirtuin1 (SIRT1) gene as one of the top candidate loci. However, no study has shown a genetic association between SIRT1 and completed suicide, which is one of the most serious outcomes of MDD. In this study, 778 suicide completers and 760 controls in a Japanese population were genotyped for two SNPs in strong linkage disequilibrium (rs12415800 and rs4746720 in 3'UTR). We found significant associations between both SNPs and completed suicide among women aged ≥50 years. Additional analysis using postmortem brain tissues (10 suicide brains and 13 non-suicide brains) revealed the following: while SIRT1 gene expression in the prefrontal cortex did not differ between suicide and non-suicide brains, DNAJC12 gene expression, potentially implicated by the SNPs genotyped here, was significantly decreased in suicide brains (p = 0.003). In conclusion, regarding the genetic association of SIRT1 with MDD that was previously identified in women by the Chinese GWAS, we successfully validated our results using a female suicidal cohort in the same Asian population with the same direction of allelic effect.
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Affiliation(s)
- Takashi Hirata
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ikuo Otsuka
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Satoshi Okazaki
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kentaro Mouri
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Tadasu Horai
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shuken Boku
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Motonori Takahashi
- Division of Legal Medicine, Department of Community Medicine and Social Health Science, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yasuhiro Ueno
- Division of Legal Medicine, Department of Community Medicine and Social Health Science, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Ichiro Sora
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Osamu Shirakawa
- Department of Neuropsychiatry, Kindai University Faculty of Medicine, Osaka, Japan
| | - Akitoyo Hishimoto
- Department of Psychiatry, Kobe University Graduate School of Medicine, Kobe, Japan.
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69
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Affiliation(s)
- Jordan W Smoller
- Department of Psychiatry and Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston; and Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Mass
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70
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González-Castro TB, Tovilla-Zárate CA, Genis-Mendoza AD, Juárez-Rojop IE, Nicolini H, López-Narváez ML, Martínez-Magaña JJ. Identification of gene ontology and pathways implicated in suicide behavior: Systematic review and enrichment analysis of GWAS studies. Am J Med Genet B Neuropsychiatr Genet 2019; 180:320-329. [PMID: 31045331 DOI: 10.1002/ajmg.b.32731] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 04/03/2019] [Accepted: 04/16/2019] [Indexed: 12/14/2022]
Abstract
Multiple large-scale studies such as genome-wide association studies (GWAS) have been performed to identify genetic contributors to suicidal behaviors (SB). We aimed to summarize and analyze the information obtained in SB GWAS, to explore the biological process gene ontology (GO) of genes associated with SB from GWAS, and to determine the possible implications of the genes associated with SB in Kyoto encyclopedias of genes and genomes (KEGG) biological pathways. The articles included in the analysis were obtained from PubMed and Scopus databases. Enrichment analyses were performed in Enrichr to evaluate the KEGG pathways and GO of the genes associated with SB of GWAS. The findings of biological process GO analysis showed 924 GO involved in genes related with SB; of those, the regulation of glucose import in response to insulin stimulus, regulation of protein localization to plasma membrane, positive regulation of endopeptidase activity, heterotypic cell-cell adhesion, regulation of cardiac muscle cell contraction, positive regulation of protein localization to plasma membrane, and positive regulation of protein localization to cell periphery biological process GO showed significant statistical association. Furthermore, we obtained 130 KEGG pathways involved in genes related with SB, which Aldosterone synthesis and secretion, Rap1 signaling pathway and arrhythmogenic right ventricular cardiomyopathy pathways showed a significant statistical association. These findings give a better perspective of the biological participation of genes associated with SB, which will be important to perform adequate strategies to prevent and treat SB.
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Affiliation(s)
- Thelma B González-Castro
- Multidisciplinary Academic Division of Jalpa de Méndez, Juárez Autonomous University of Tabasco, Jalpa de Méndez, Tabasco, Mexico.,Multidisciplinary Academic Division of Health Sciences, Juárez Autonomous University of Tabasco, Villahermosa, Tabasco, Mexico
| | - Carlos A Tovilla-Zárate
- Multidisciplinary Academic Division of Comalcalco, Juárez Autonomous University of Tabasco, Comalcalco, Tabasco, Mexico
| | - Alma D Genis-Mendoza
- Secretary of Health, National Institute of Genomic Medicine (INMEGEN), City of Mexico, Mexico.,Secretary of Health, Children's Psychiatric Hospital "Dr. Juan N. Navarro", City of Mexico, Mexico
| | - Isela E Juárez-Rojop
- Multidisciplinary Academic Division of Comalcalco, Juárez Autonomous University of Tabasco, Comalcalco, Tabasco, Mexico
| | - Humberto Nicolini
- Secretary of Health, National Institute of Genomic Medicine (INMEGEN), City of Mexico, Mexico.,Secretary of Health, Children's Psychiatric Hospital "Dr. Juan N. Navarro", City of Mexico, Mexico
| | | | - José J Martínez-Magaña
- Secretary of Health, National Institute of Genomic Medicine (INMEGEN), City of Mexico, Mexico
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71
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Strawbridge RJ, Ward J, Ferguson A, Graham N, Shaw RJ, Cullen B, Pearsall R, Lyall LM, Johnston KJA, Niedzwiedz CL, Pell JP, Mackay D, Martin JL, Lyall DM, Bailey MES, Smith DJ. Identification of novel genome-wide associations for suicidality in UK Biobank, genetic correlation with psychiatric disorders and polygenic association with completed suicide. EBioMedicine 2019; 41:517-525. [PMID: 30745170 PMCID: PMC6442001 DOI: 10.1016/j.ebiom.2019.02.005] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 02/04/2019] [Accepted: 02/04/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Suicide is a major issue for global public health. Suicidality describes a broad spectrum of thoughts and behaviours, some of which are common in the general population. Although suicide results from a complex interaction of multiple social and psychological factors, predisposition to suicidality is at least partly genetic. METHODS Ordinal genome-wide association study of suicidality in the UK Biobank cohort comparing: 'no suicidality' controls (N = 83,557); 'thoughts that life was not worth living' (N = 21,063); 'ever contemplated self-harm' (N = 13,038); 'act of deliberate self-harm in the past' (N = 2498); and 'previous suicide attempt' (N = 2666). OUTCOMES We identified three novel genome-wide significant loci for suicidality (on chromosomes nine, 11 and 13) and moderate-to-strong genetic correlations between suicidality and a range of psychiatric disorders, most notably depression (rg 0·81). INTERPRETATION These findings provide new information about genetic variants relating to increased risk of suicidal thoughts and behaviours. Future work should assess the extent to which polygenic risk scores for suicidality, in combination with non-genetic risk factors, may be useful for stratified approaches to suicide prevention at a population level. FUND: UKRI Innovation-HDR-UK Fellowship (MR/S003061/1). MRC Mental Health Data Pathfinder Award (MC_PC_17217). MRC Doctoral Training Programme Studentship at the University of Glasgow (MR/K501335/1). MRC Doctoral Training Programme Studentship at the Universities of Glasgow and Edinburgh. UKRI Innovation Fellowship (MR/R024774/1).
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Affiliation(s)
- Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK; Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Amy Ferguson
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Nicholas Graham
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Richard J Shaw
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Breda Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Robert Pearsall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Laura M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Keira J A Johnston
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK; Division of Psychiatry, College of Medicine, University of Edinburgh, UK; School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | | | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel Mackay
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Mark E S Bailey
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
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