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Abstract
BACKGROUND To date, besides genome-wide association studies, a variety of other genetic analyses (e.g. polygenic risk scores, whole-exome sequencing and whole-genome sequencing) have been conducted, and a large amount of data has been gathered for investigating the involvement of common, rare and very rare types of DNA sequence variants in bipolar disorder. Also, non-invasive neuroimaging methods can be used to quantify changes in brain structure and function in patients with bipolar disorder. AIMS To provide a comprehensive assessment of genetic findings associated with bipolar disorder, based on the evaluation of different genomic approaches and neuroimaging studies. METHOD We conducted a PubMed search of all relevant literatures from the beginning to the present, by querying related search strings. RESULTS ANK3, CACNA1C, SYNE1, ODZ4 and TRANK1 are five genes that have been replicated as key gene candidates in bipolar disorder pathophysiology, through the investigated studies. The percentage of phenotypic variance explained by the identified variants is small (approximately 4.7%). Bipolar disorder polygenic risk scores are associated with other psychiatric phenotypes. The ENIGMA-BD studies show a replicable pattern of lower cortical thickness, altered white matter integrity and smaller subcortical volumes in bipolar disorder. CONCLUSIONS The low amount of explained phenotypic variance highlights the need for further large-scale investigations, especially among non-European populations, to achieve a more complete understanding of the genetic architecture of bipolar disorder and the missing heritability. Combining neuroimaging data with genetic data in large-scale studies might help researchers acquire a better knowledge of the engaged brain regions in bipolar disorder.
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Affiliation(s)
- Mojtaba Oraki Kohshour
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Iran
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Psychotherapy, University Hospital LMU Munich, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, USA
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics, University Hospital LMU Munich, Germany; and Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, USA
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Fichna JP, Humińska-Lisowska K, Safranow K, Adamczyk JG, Cięszczyk P, Żekanowski C, Berdyński M. Rare Variant in the SLC6A2 Encoding a Norepinephrine Transporter Is Associated with Elite Athletic Performance in the Polish Population. Genes (Basel) 2021; 12:genes12060919. [PMID: 34203885 PMCID: PMC8232774 DOI: 10.3390/genes12060919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 11/16/2022] Open
Abstract
Numerous genetic factors have been shown to influence athletic performance, but the list is far from comprehensive. In this study, we analyzed genetic variants in two genes related to mental abilities, SLC6A2 (rs1805065) and SYNE1 (rs2635438) in a group of 890 athletes (320 endurance, 265 power, and 305 combat athletes) vs. 1009 sedentary controls. Genotyping of selected SNPs was performed using TaqMan SNP genotyping assays. SLC6A2 codes for norepinephrine transporter, a protein involved in modulating mood, arousal, memory, learning, and pain perception, while SYNE1 encodes protein important for the maintenance of the cerebellum—the part of the brain that coordinates complex body movements. Both SNPs (rs2635438 and rs1805065) showed no statistically significant differences between the frequencies of variants in the athletes and the sedentary controls (athletes vs. control group) or in the athlete subgroups (martial vs. control, endurance vs. control, and power vs. control). The rs1805065 T variant of SLC6A2 was found to be overrepresented in male high-elite martial sports athletes when compared to sedentary controls (OR = 6.56, 95%CI = 1.82–23.59, p = 0.010). This supports the hypothesis that genetic variants potentially affecting brain functioning can influence elite athletic performance and indicate the need for further genetic association studies, as well as functional analyses.
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Affiliation(s)
- Jakub P. Fichna
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Institute, Polish Academy of Sciences, 02-106 Warsaw, Poland; (J.P.F.); (C.Ż.)
| | - Kinga Humińska-Lisowska
- Faculty of Physical Education, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland; (K.H.-L.); (P.C.)
| | - Krzysztof Safranow
- Department of Biochemistry and Medical Chemistry, Pomeranian Medical University, 70-204 Szczecin, Poland;
| | - Jakub G. Adamczyk
- Department of Theory of Sport, Józef Piłsudski University of Physical Education, 00-968 Warsaw, Poland;
| | - Paweł Cięszczyk
- Faculty of Physical Education, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland; (K.H.-L.); (P.C.)
| | - Cezary Żekanowski
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Institute, Polish Academy of Sciences, 02-106 Warsaw, Poland; (J.P.F.); (C.Ż.)
| | - Mariusz Berdyński
- Department of Neurodegenerative Disorders, Mossakowski Medical Research Institute, Polish Academy of Sciences, 02-106 Warsaw, Poland; (J.P.F.); (C.Ż.)
- Correspondence: ; Tel.: +48-226-086-485
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3
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Rathje M, Waxman H, Benoit M, Tammineni P, Leu C, Loebrich S, Nedivi E. Genetic variants in the bipolar disorder risk locus SYNE1 that affect CPG2 expression and protein function. Mol Psychiatry 2021; 26:508-523. [PMID: 30610203 PMCID: PMC6609516 DOI: 10.1038/s41380-018-0314-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 11/14/2018] [Accepted: 11/15/2018] [Indexed: 12/28/2022]
Abstract
Bipolar disorder (BD) is a common mood disorder characterized by recurrent episodes of mania and depression. Both genetic and environmental factors have been implicated in BD etiology, but the biological underpinnings remain elusive. Recently, genome-wide association studies (GWAS) of neuropsychiatric disorders have identified a risk locus for BD containing the SYNE1 gene, a large gene encoding multiple proteins. The BD association signal spans, almost exclusively, the part of SYNE1 encoding CPG2, a brain-specific protein localized to excitatory postsynaptic sites, where it regulates glutamate receptor internalization. Here we show that CPG2 protein levels are significantly decreased in postmortem brain tissue from BD patients, as compared to control subjects, as well as schizophrenia and depression patients. We identify genetic variants within the postmortem brains that map to the CPG2 promoter region, and show that they negatively affect gene expression. We also identify missense single nucleotide polymorphisms (SNPs) in CPG2 coding regions that affect CPG2 expression, localization, and synaptic function. Our findings link genetic variation in the CPG2 region of SYNE1 with a mechanism for glutamatergic synapse dysfunction that could underlie susceptibility to BD in some individuals. Few GWAS hits in human genetics for neuropsychiatric disorders to date have afforded such mechanistic clues. Further, the potential for genetic distinction of susceptibility to BD from other neuropsychiatric disorders with overlapping clinical traits holds promise for improved diagnostics and treatment of this devastating illness.
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Affiliation(s)
- Mette Rathje
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Hannah Waxman
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Marc Benoit
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Prasad Tammineni
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Costin Leu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA,Stanley Center for Psychiatric Research, The Broad Institute of Harvard and MIT, Cambridge, MA, USA,Institute of Neurology, University College London, London, United Kingdom
| | - Sven Loebrich
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Elly Nedivi
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Kim D, Han SK, Lee K, Kim I, Kong J, Kim S. Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sites. Nucleic Acids Res 2019; 47:e94. [PMID: 31199866 PMCID: PMC6895274 DOI: 10.1093/nar/gkz536] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 05/03/2019] [Accepted: 06/05/2019] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies have discovered a large number of genetic variants in human patients with the disease. Thus, predicting the impact of these variants is important for sorting disease-associated variants (DVs) from neutral variants. Current methods to predict the mutational impacts depend on evolutionary conservation at the mutation site, which is determined using homologous sequences and based on the assumption that variants at well-conserved sites have high impacts. However, many DVs at less-conserved but functionally important sites cannot be predicted by the current methods. Here, we present a method to find DVs at less-conserved sites by predicting the mutational impacts using evolutionary coupling analysis. Functionally important and evolutionarily coupled sites often have compensatory variants on cooperative sites to avoid loss of function. We found that our method identified known intolerant variants in a diverse group of proteins. Furthermore, at less-conserved sites, we identified DVs that were not identified using conservation-based methods. These newly identified DVs were frequently found at protein interaction interfaces, where species-specific mutations often alter interaction specificity. This work presents a means to identify less-conserved DVs and provides insight into the relationship between evolutionarily coupled sites and human DVs.
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Affiliation(s)
- Donghyo Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - Seong Kyu Han
- Department of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - Kwanghwan Lee
- Department of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - Inhae Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - JungHo Kong
- Department of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Korea
| | - Sanguk Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang 790-784, Korea
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Espregueira Themudo G, Leerschool AR, Rodriguez-Proano C, Christiansen SL, Andersen JD, Busch JR, Christensen MR, Banner J, Morling N. Targeted exon sequencing in deceased schizophrenia patients in Denmark. Int J Legal Med 2019; 134:135-147. [PMID: 31773318 DOI: 10.1007/s00414-019-02212-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 11/13/2019] [Indexed: 12/26/2022]
Abstract
Schizophrenia patients have higher mortality rates and lower life expectancy than the general population. However, forensic investigations of their deaths often fail to determine the cause of death, hindering prevention. As schizophrenia is a highly heritable condition and given recent advances in our understanding of the genetics of schizophrenia, it is now possible to investigate how genetic factors may contribute to mortality. We made use of findings from genome-wide association studies (GWAS) to design a targeted panel (PsychPlex) for sequencing of exons of 451 genes near index single nucleotide polymorphisms (SNPs) identified with GWAS. We sequenced the DNA of 95 deceased schizophrenia patients included in SURVIVE, a prospective, autopsy-based study of mentally ill persons in Denmark. We compared the allele frequencies of 1039 SNPs in these cases with the frequencies of 2000 Danes without psychiatric diseases and calculated their deleteriousness (CADD) scores. For 81 SNPs highly associated with schizophrenia and CADD scores above 15, expression profiles in the Genotype-Tissue Expression (GTEx) Project indicated that these variants were in exons, whose expressions are increased in several types of brain tissues, particularly in the cerebellum. Molecular pathway analysis indicated the involvement of 163 different pathways. As for rare SNP variants, most variants were scored as either benign or likely benign with an average of 17 variants of unknown significance per individual and no pathogenic variant. Our results highlight the potential of DNA sequencing of an exon panel to discover genetic factors that may be involved in the development of schizophrenia.
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Affiliation(s)
- Gonçalo Espregueira Themudo
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. .,CIIMAR - Interdisciplinary Centre of Marine and Environmental Research of the University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal.
| | - Anna-Roos Leerschool
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Complex Genetics, Maastricht University, PO Box 616 6200, MD, Maastricht, The Netherlands
| | - Carla Rodriguez-Proano
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Clinical Laboratory, Ambulatory Clinical Surgical Center and Day Hospital "El Batán", Quito, Ecuador
| | - Sofie Lindgren Christiansen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jeppe Dyrberg Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Johannes Rødbro Busch
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Martin Roest Christensen
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jytte Banner
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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