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Pang JY, Wang YP, Teng HM, He J, Luo R, Feng SM, Yue WH, Li HF. Interaction between HTR2A rs3125 and negative life events in suicide attempts among patients with major depressive disorder: a cross-sectional study. BMC Psychiatry 2024; 24:249. [PMID: 38565988 PMCID: PMC10988927 DOI: 10.1186/s12888-024-05713-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 03/25/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Both genetic and environmental factors play crucial roles in the development of major depressive disorder (MDD) and suicide attempts (SA). However, the interaction between both items remains unknown. This study aims to explore the interactions between the genetic variants of the serotonin 2 A receptor (HTR2A) and the nitric oxide synthase 1 (NOS1) and environmental factors in patients who experience MDD and SA. METHODS A total of 334 patients with MDD and a history of SA (MDD-SA) were recruited alongside 518 patients with MDD with no history of SA (MDD-NSA), and 716 healthy controls (HC). The demographic data and clinical characteristics were collected. Sequenom mass spectrometry was used to detect eight tag-single nucleotide polymorphisms (tagSNPs) in HTR2A (rs1328683, rs17068986, and rs3125) and NOS1 (rs1123425, rs2682826, rs3741476, rs527590, and rs7959232). Generalized multifactor dimensionality reduction (GMDR) was used to analyze the gene-environment interactions. RESULTS Four tagSNPs (rs17068986, rs3125, rs527590, and rs7959232) exhibited significant differences between the three groups. However, these differences were not significant between the MDD-SA and MDD-NSA groups after Bonferroni correction. A logistic regression analysis revealed that negative life events (OR = 1.495, 95%CI: 1.071-2.087, P = 0.018), self-guilt (OR = 2.263, 95%CI: 1.515-3.379, P < 0.001), and negative cognition (OR = 2.252, 95%CI: 1.264-4.013, P = 0.006) were all independently associated with SA in patients with MDD. Furthermore, GMDR analysis indicated a significant interaction between HTR2A rs3125 and negative life events. Negative life events in conjunction with the HTR2A rs3125 CG + GG genotype were associated with a higher SA risk in patients with MDD when compared to the absence of negative life events in conjunction with the CC genotype (OR = 2.547, 95% CI: 1.264-5.131, P = 0.009). CONCLUSION Several risk factors and a potential interaction between HTR2A rs3125 and negative life events were identified in patients with SA and MDD. The observed interaction likely modulates the risk of MDD and SA, shedding light on the pathogenesis of SA in patients with MDD.
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Affiliation(s)
- Jian-Yue Pang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China
| | - Yi-Ping Wang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China
| | - Hui-Min Teng
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China
| | - Jin He
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China
| | - Rui Luo
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China
| | - Si-Meng Feng
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China
| | - Wei-Hua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, 100191, Beijing, China.
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University), 100191, Beijing, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China.
- Chinese Institute for Brain Research, Beijing102206, China.
| | - Heng-Fen Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 450052, Zhengzhou, China.
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Krämer RM, Moissl AP, Lorkowski S, Krämer BK, Lehtimäki T, Mishra BH, Mishra PP, Leipe J, März W, Kleber ME, Müller-Myhsok B, Delgado GE. High genetic risk for depression as an independent risk factor for mortality in patients referred for coronary angiography. Front Cardiovasc Med 2023; 10:1125151. [PMID: 37435051 PMCID: PMC10330785 DOI: 10.3389/fcvm.2023.1125151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 06/08/2023] [Indexed: 07/13/2023] Open
Abstract
Background Different observations have suggested that patients with depression have a higher risk for a number of comorbidities and mortality. The underlying causes have not been fully understood yet. Aims The aim of our study was to investigate the association of a genetic depression risk score (GDRS) with mortality [all-cause and cardiovascular (CV)] and markers of depression (including intake of antidepressants and a history of depression) in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study involving 3,316 patients who had been referred for coronary angiography. Methods and results The GDRS was calculated in 3,061 LURIC participants according to a previously published method and was found to be associated with all-cause (p = 0.016) and CV mortality (p = 0.0023). In Cox regression models adjusted for age, sex, body mass index, LDL-cholesterol, HDL-cholesterol, triglycerides, hypertension, smoking, and diabetes mellitus, the GDRS remained significantly associated with all-cause [1.18 (1.04-1.34, p = 0.013)] and CV [1.31 (1.11-1.55, p = 0.001)] mortality. The GDRS was not associated with the intake of antidepressants or a history of depression. However, this cohort of CV patients had not specifically been assessed for depression, leading to marked underreporting. We were unable to identify any specific biomarkers correlated with the GDRS in LURIC participants. Conclusion A genetic predisposition for depression estimated by a GDRS was independently associated with all-cause and CV mortality in our cohort of patients who had been referred for coronary angiography. No biomarker correlating with the GDRS could be identified.
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Affiliation(s)
- Robert M. Krämer
- Department for Children and Adolescent Psychiatry, Central Institute for Mental Health Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
| | - Angela P. Moissl
- Vth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
- Institute of Nutritional Sciences, Friedrich Schiller University, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD), Halle-Jena-Leipzig, Germany
| | - Stefan Lorkowski
- Institute of Nutritional Sciences, Friedrich Schiller University, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD), Halle-Jena-Leipzig, Germany
| | - Bernhard K. Krämer
- Vth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
- Center for Preventive Medicine and Digital Health Baden-Württemberg (CPDBW), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- European Center for Angioscience ECAS, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Binisha H. Mishra
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jan Leipe
- Vth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
| | - Winfried März
- Vth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim and Augsburg, Germany
| | - Marcus E. Kleber
- Vth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
- European Center for Angioscience ECAS, Faculty of Medicine of the University of Heidelberg, Mannheim, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute for Psychiatry, Munich, Germany
- Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom
| | - Graciela E. Delgado
- Vth Department of Medicine, University Medicine Mannheim, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
- Center for Preventive Medicine and Digital Health Baden-Württemberg (CPDBW), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
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Colbert SMC, Mullins N, Chan G, Meyers JL, Schulman J, Kuperman S, Lai D, Nurnberger J, Plawecki MH, Kamarajan C, Anokhin AP, Bucholz KK, Hesselbrock V, Edenberg HJ, Kramer J, Dick DM, Porjesz B, Agrawal A, Johnson EC. Polygenic Contributions to Suicidal Thoughts and Behaviors in a Sample Ascertained for Alcohol Use Disorders. Complex Psychiatry 2023; 9:11-23. [PMID: 38058956 PMCID: PMC10697665 DOI: 10.1159/000529164] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/03/2023] [Indexed: 12/08/2023] Open
Abstract
Introduction Suicidal thoughts and behaviors have partially distinct genetic etiologies. Methods We used PRS-CS to create polygenic risk scores (PRSs) from GWAS of non-suicidal self-injury, broad-sense self-harm ideation, nonfatal suicide attempt, death by suicide, and depression. Using mixed-effect models, we estimated whether these PRSs were associated with a range of suicidal thoughts and behaviors in the Collaborative Study on the Genetics of Alcoholism (N = 7,526). Results All PRSs were significantly associated with suicidal ideation and suicide attempt (betas = 0.08-0.44, false discovery rate [FDR] <0.023). All PRSs except non-suicidal self-injury PRS were associated with active suicidal ideation (betas = 0.14-0.22, FDR <0.003). Several associations remained significant in models where all significant PRSs were included as simultaneous predictors, and when all PRSs predicted suicide attempt, the PRS together explained 6.2% of the variance in suicide attempt. Significant associations were also observed between some PRSs and persistent suicidal ideation, non-suicidal self-injury, compounded suicide attempt, and desire to die. Conclusion Our findings suggest that PRS for depression does not explain the entirety of the variance in suicidal thoughts and behaviors, with PRS specifically for suicidal thoughts and behaviors making additional and sometimes unique contributions.
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Affiliation(s)
- Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Niamh Mullins
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Grace Chan
- Mount Sinai Clinical Intelligence Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jessica Schulman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samuel Kuperman
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Dongbing Lai
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - John Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Martin H Plawecki
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Andrey P Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Victor Hesselbrock
- Mount Sinai Clinical Intelligence Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Howard J Edenberg
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
- Department of Psychiatry and Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John Kramer
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Danielle M Dick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Emma C Johnson
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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Mirza S, Docherty AR, Bakian A, Coon H, Soares JC, Walss-Bass C, Fries GR. Genetics and epigenetics of self-injurious thoughts and behaviors: Systematic review of the suicide literature and methodological considerations. Am J Med Genet B Neuropsychiatr Genet 2022; 189:221-246. [PMID: 35975759 PMCID: PMC9900606 DOI: 10.1002/ajmg.b.32917] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/26/2022] [Accepted: 07/26/2022] [Indexed: 02/01/2023]
Abstract
Suicide is a multifaceted and poorly understood clinical outcome, and there is an urgent need to advance research on its phenomenology and etiology. Epidemiological studies have demonstrated that suicidal behavior is heritable, suggesting that genetic and epigenetic information may serve as biomarkers for suicide risk. Here we systematically review the literature on genetic and epigenetic alterations observed in phenotypes across the full range of self-injurious thoughts and behaviors (SITB). We included 577 studies focused on genome-wide and epigenome-wide associations, candidate genes (SNP and methylation), noncoding RNAs, and histones. Convergence of specific genes is limited across units of analysis, although pathway-based analyses do indicate nervous system development and function and immunity/inflammation as potential underlying mechanisms of SITB. We provide suggestions for future work on the genetic and epigenetic correlates of SITB with a specific focus on measurement issues.
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Affiliation(s)
- Salahudeen Mirza
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), Houston, Texas, USA,Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA,Huntsman Mental Health Institute, Salt Lake City, Utah, USA,Department of Psychiatry, The Virginia Commonwealth University, Richmond, Virginia, USA
| | - Amanda Bakian
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA,Huntsman Mental Health Institute, Salt Lake City, Utah, USA
| | - Hilary Coon
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA,Huntsman Mental Health Institute, Salt Lake City, Utah, USA
| | - Jair C. Soares
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), Houston, Texas, USA,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Consuelo Walss-Bass
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), Houston, Texas, USA,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA
| | - Gabriel R. Fries
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston, (UTHealth), Houston, Texas, USA,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
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