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Zhang-James Y, Fernàndez-Castillo N, Hess JL, Malki K, Glatt SJ, Cormand B, Faraone SV. An integrated analysis of genes and functional pathways for aggression in human and rodent models. Mol Psychiatry 2019; 24:1655-1667. [PMID: 29858598 PMCID: PMC6274606 DOI: 10.1038/s41380-018-0068-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 03/04/2018] [Accepted: 04/03/2018] [Indexed: 11/12/2022]
Abstract
Human genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate gene studies have advanced our understanding of the genetic architecture of aggressive behaviors. However, each of these methods presents unique limitations. To generate a more confident and comprehensive view of the complex genetics underlying aggression, we undertook an integrated, cross-species approach. We focused on human and rodent models to derive eight gene lists from three main categories of genetic evidence: two sets of genes identified in GWAS studies, four sets implicated by transcriptome-wide studies of rodent models, and two sets of genes with causal evidence from online Mendelian inheritance in man (OMIM) and knockout (KO) mice reports. These gene sets were evaluated for overlap and pathway enrichment to extract their similarities and differences. We identified enriched common pathways such as the G-protein coupled receptor (GPCR) signaling pathway, axon guidance, reelin signaling in neurons, and ERK/MAPK signaling. Also, individual genes were ranked based on their cumulative weights to quantify their importance as risk factors for aggressive behavior, which resulted in 40 top-ranked and highly interconnected genes. The results of our cross-species and integrated approach provide insights into the genetic etiology of aggression.
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Affiliation(s)
- Yanli Zhang-James
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY, USA.
| | - Noèlia Fernàndez-Castillo
- 0000 0004 1937 0247grid.5841.8Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain ,0000 0004 1937 0247grid.5841.8Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain ,Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Spain
| | - Jonathan L Hess
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY USA
| | - Karim Malki
- 0000 0001 2322 6764grid.13097.3cKing’s College London, MRC Social, Genetic and Developmental Psychiatry Centre at the Institute of Psychiatry, Psychology and Neuroscience (IOPPN), London, UK
| | - Stephen J Glatt
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY USA ,0000 0000 9159 4457grid.411023.5Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, NY USA
| | - Bru Cormand
- 0000 0004 1937 0247grid.5841.8Departament de Genètica, Microbiologia i Estadística, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Madrid, Spain ,0000 0004 1937 0247grid.5841.8Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain ,Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Spain
| | - Stephen V Faraone
- 0000 0000 9159 4457grid.411023.5Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, NY USA ,0000 0000 9159 4457grid.411023.5Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York, NY USA ,0000 0004 1936 7443grid.7914.bK.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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Yang C, Ba H, Zhang W, Zhang S, Zhao H, Yu H, Gao Z, Wang B. The association of 22 Y chromosome short tandem repeat loci with initiative-aggressive behavior. Gene 2018; 654:10-13. [PMID: 29452231 DOI: 10.1016/j.gene.2018.02.039] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/23/2018] [Accepted: 02/12/2018] [Indexed: 11/28/2022]
Abstract
Aggressive behavior represents an important public concern and a clinical challenge to behaviorists and psychiatrists. Aggression in humans is known to have an important genetic basis, so to investigate the association of Y chromosome short tandem repeat (Y-STR) loci with initiative-aggressive behavior, we compared allelic and haplotypic distributions of 22 Y-STRs in a group of Chinese males convicted of premeditated extremely violent crimes (n = 271) with a normal control group (n = 492). Allelic distributions of DYS533 and DYS437 loci differed significantly between the two groups (P < 0.05). The case group had higher frequencies of DYS533 allele 14, DYS437 allele 14, and haplotypes 11-14 of DYS533-DYS437 compared with the control group. Additionally, the DYS437 allele 15 frequency was significantly lower in cases than controls. No frequency differences were observed in the other 20 Y-STR loci between these two groups. Our results indicate a genetic role for Y-STR loci in the development of initiative aggression in non-psychiatric subjects.
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Affiliation(s)
- Chun Yang
- Department of Psychiatry, Psychiatry Center of Chinese People's Liberation Army, No. 102 Hospital of People's Liberation Army, Changzhou 213003, Jiangsu Province, China
| | - Huajie Ba
- DNA Laboratory, Public Security Bureau of Changzhou, Changzhou 213003, Jiangsu Province, China.
| | - Wei Zhang
- Center for Genetics, s, Beijing 100081, China; Department of Judicial Identification, National Research Institute for Family Planning, Beijing 100081, China
| | - Shuyou Zhang
- Department of Psychiatry, Psychiatry Center of Chinese People's Liberation Army, No. 102 Hospital of People's Liberation Army, Changzhou 213003, Jiangsu Province, China
| | - Hanqing Zhao
- Department of Psychiatry, Psychiatry Center of Chinese People's Liberation Army, No. 102 Hospital of People's Liberation Army, Changzhou 213003, Jiangsu Province, China
| | - Haiying Yu
- Department of Psychiatry, Psychiatry Center of Chinese People's Liberation Army, No. 102 Hospital of People's Liberation Army, Changzhou 213003, Jiangsu Province, China
| | - Zhiqin Gao
- Department of Psychiatry, Psychiatry Center of Chinese People's Liberation Army, No. 102 Hospital of People's Liberation Army, Changzhou 213003, Jiangsu Province, China
| | - Binbin Wang
- Center for Genetics, s, Beijing 100081, China; Department of Judicial Identification, National Research Institute for Family Planning, Beijing 100081, China; Graduate School of Peking Union Medical College, Beijing, China.
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Association of genetic variations in the serotonin and dopamine systems with aggressive behavior in the Chinese adolescent population: Single- and multiple-risk genetic variants. J Affect Disord 2018; 225:374-380. [PMID: 28846959 DOI: 10.1016/j.jad.2017.08.052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 06/22/2017] [Accepted: 08/14/2017] [Indexed: 11/23/2022]
Abstract
BACKGROUND Genetic predisposition is an important factor leading to aggressive behavior. However, the relationship between genetic polymorphisms and aggressive behavior has not been elucidated. METHODS We identified candidate genes located in the dopaminergic and serotonin system (DRD3, DRD4, and FEV) that had been previously reported to be associated with aggressive behavior. We investigated 14 tag single-nucleotide polymorphisms (SNPs) using a multi-analytic strategy combining logistic regression (LR) and classification and regression tree (CART) to explore higher-order interactions between these SNPs and aggressive behavior in 318 patients and 558 controls. RESULTS Both LR and CART analyses suggested that the rs16859448 polymorphism is the strongest individual factor associated with aggressive behavior risk. In CART analysis, individuals carrying the combined genotypes of rs16859448TT/GT-rs11246228CT/TT-rs3773679TT had the highest risk, while rs16859448GG-rs2134655CT had the lowest risk (OR = 5.25, 95% CI: 2.53-10.86). CONCLUSION This study adds to the growing evidence on the association of single- and multiple-risk variants in DRD3, DRD4, and FEV with aggressive behavior in Chinese adolescents. However, the aggressive behavior scale used to diagnose aggression in this study did not account for comorbid conditions; therefore, further studies are needed to confirm our observations.
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Li J, Chen C, Wu K, Zhang M, Zhu B, Chen C, Moyzis RK, Dong Q. Genetic variations in the serotonergic system contribute to amygdala volume in humans. Front Neuroanat 2015; 9:129. [PMID: 26500508 PMCID: PMC4598478 DOI: 10.3389/fnana.2015.00129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 09/17/2015] [Indexed: 11/13/2022] Open
Abstract
The amygdala plays a critical role in emotion processing and psychiatric disorders associated with emotion dysfunction. Accumulating evidence suggests that amygdala structure is modulated by serotonin-related genes. However, there is a gap between the small contributions of single loci (less than 1%) and the reported 63–65% heritability of amygdala structure. To understand the “missing heritability,” we systematically explored the contribution of serotonin genes on amygdala structure at the gene set level. The present study of 417 healthy Chinese volunteers examined 129 representative polymorphisms in genes from multiple biological mechanisms in the regulation of serotonin neurotransmission. A system-level approach using multiple regression analyses identified that nine SNPs collectively accounted for approximately 8% of the variance in amygdala volume. Permutation analyses showed that the probability of obtaining these findings by chance was low (p = 0.043, permuted for 1000 times). Findings showed that serotonin genes contribute moderately to individual differences in amygdala volume in a healthy Chinese sample. These results indicate that the system-level approach can help us to understand the genetic basis of a complex trait such as amygdala structure.
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Affiliation(s)
- Jin Li
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences Beijing, China ; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China
| | - Chunhui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Karen Wu
- Department of Psychology and Social Behavior, University of California, Irvine Irvine, CA, USA
| | - Mingxia Zhang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences Beijing, China
| | - Bi Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of California, Irvine Irvine, CA, USA
| | - Robert K Moyzis
- Department of Biological Chemistry, University of California, Irvine Irvine, CA, USA ; Institute of Genomics and Bioinformatics, University of California, Irvine Irvine, CA, USA
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University Beijing, China ; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University Beijing, China
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