1
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Zhao Y, Tabet D, Rubio Contreras D, Lao L, Kousholt AN, Weile J, Melo H, Hoeg L, Feng S, Coté AG, Lin ZY, Setiaputra D, Jonkers J, Gingras AC, Gómez Herreros F, Roth FP, Durocher D. Genome-scale mapping of DNA damage suppressors through phenotypic CRISPR-Cas9 screens. Mol Cell 2023; 83:2792-2809.e9. [PMID: 37478847 PMCID: PMC10530064 DOI: 10.1016/j.molcel.2023.06.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 04/18/2023] [Accepted: 06/21/2023] [Indexed: 07/23/2023]
Abstract
To maintain genome integrity, cells must accurately duplicate their genome and repair DNA lesions when they occur. To uncover genes that suppress DNA damage in human cells, we undertook flow-cytometry-based CRISPR-Cas9 screens that monitored DNA damage. We identified 160 genes whose mutation caused spontaneous DNA damage, a list enriched in essential genes, highlighting the importance of genomic integrity for cellular fitness. We also identified 227 genes whose mutation caused DNA damage in replication-perturbed cells. Among the genes characterized, we discovered that deoxyribose-phosphate aldolase DERA suppresses DNA damage caused by cytarabine (Ara-C) and that GNB1L, a gene implicated in 22q11.2 syndrome, promotes biogenesis of ATR and related phosphatidylinositol 3-kinase-related kinases (PIKKs). These results implicate defective PIKK biogenesis as a cause of some phenotypes associated with 22q11.2 syndrome. The phenotypic mapping of genes that suppress DNA damage therefore provides a rich resource to probe the cellular pathways that influence genome maintenance.
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Affiliation(s)
- Yichao Zhao
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada
| | - Daniel Tabet
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada
| | | | - Linjiang Lao
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Arne Nedergaard Kousholt
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Jochen Weile
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Donnelly Centre and Department of Computer Science, University of Toronto, 160 College Street, Toronto M5S 3E1, Canada
| | - Henrique Melo
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Lisa Hoeg
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Sumin Feng
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Atina G Coté
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Zhen-Yuan Lin
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Dheva Setiaputra
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | - Jos Jonkers
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, 1066CX Amsterdam, the Netherlands
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada
| | | | - Frederick P Roth
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada; Donnelly Centre and Department of Computer Science, University of Toronto, 160 College Street, Toronto M5S 3E1, Canada
| | - Daniel Durocher
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, ON M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5S 1A8, Canada.
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2
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Huang M, Yao F, Nie L, Wang C, Su D, Zhang H, Li S, Tang M, Feng X, Yu B, Chen Z, Wang S, Yin L, Mou L, Hart T, Chen J. FACS-based genome-wide CRISPR screens define key regulators of DNA damage signaling pathways. Mol Cell 2023; 83:2810-2828.e6. [PMID: 37541219 PMCID: PMC10421629 DOI: 10.1016/j.molcel.2023.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 02/17/2023] [Accepted: 07/05/2023] [Indexed: 08/06/2023]
Abstract
DNA damage-activated signaling pathways are critical for coordinating multiple cellular processes, which must be tightly regulated to maintain genome stability. To provide a comprehensive and unbiased perspective of DNA damage response (DDR) signaling pathways, we performed 30 fluorescence-activated cell sorting (FACS)-based genome-wide CRISPR screens in human cell lines with antibodies recognizing distinct endogenous DNA damage signaling proteins to identify critical regulators involved in DDR. We discovered that proteasome-mediated processing is an early and prerequisite event for cells to trigger camptothecin- and etoposide-induced DDR signaling. Furthermore, we identified PRMT1 and PRMT5 as modulators that regulate ATM protein level. Moreover, we discovered that GNB1L is a key regulator of DDR signaling via its role as a co-chaperone specifically regulating PIKK proteins. Collectively, these screens offer a rich resource for further investigation of DDR, which may provide insight into strategies of targeting these DDR pathways to improve therapeutic outcomes.
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Affiliation(s)
- Min Huang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Fuwen Yao
- Department of Hepatopancreatobiliary Surgery, Shenzhen Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Litong Nie
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chao Wang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dan Su
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Huimin Zhang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Siting Li
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mengfan Tang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xu Feng
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Bin Yu
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhen Chen
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shimin Wang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ling Yin
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lisha Mou
- Department of Hepatopancreatobiliary Surgery, Shenzhen Institute of Translational Medicine, Health Science Center, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Traver Hart
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Junjie Chen
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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3
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Zapata-García JA, Riveros-Magaña AR, Ortiz-Lazareno PC, Hernández-Flores G, Jave-Suárez LF, Aguilar-Lemarroy A. Comparative Genomic Hybridization and Transcriptome Sequencing Reveal Genes with Gain in Acute Lymphoblastic Leukemia: JUP Expression Emerges as a Survival-Related Gene. Diagnostics (Basel) 2022; 12:diagnostics12112788. [PMID: 36428851 PMCID: PMC9689318 DOI: 10.3390/diagnostics12112788] [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: 09/29/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
Acute lymphoblastic leukemia (ALL) in children or adults is characterized by structural and numeric aberrations in chromosomes; these anomalies strongly correlate with prognosis and clinical outcome. Therefore, this work aimed to identify the genes present in chromosomal gain regions found more frequently in patients with acute lymphoblastic leukemia (ALL) and ALL-derived cell lines using comparative genomic hybridization (CGH). In addition, validation of the genes found in these regions was performed utilizing RNAseq from JURKAT, CEM, and SUP-B15 cell lines, as well as expression microarrays derived from a MILE study. Chromosomes with common gain zones that were maintained in six or more samples were 14, 17, and 22, in which a total of 22 genes were identified. From them, NT5C3B, CNP, ACLY, and GNB1L maintained overexpression at the mRNA level in the cell lines and in patients with ALL. It is noteworthy that SALL2 showed very high expression in T-ALL, while JUP was highly expressed in B-ALL lineages. Interestingly, the latter correlated with worse survival in patients. This provided evidence that the measurement of these genes has high potential for clinical utility; however, their expressions should first be evaluated with a sensitive test in a more significant number of patients.
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Affiliation(s)
- Jessica Alejandra Zapata-García
- Programa de Doctorado en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara C.P. 44340, Mexico
- División de Inmunología, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara C.P. 44340, Mexico
| | - Alma Rocío Riveros-Magaña
- Centro Universitario del Sur, Universidad de Guadalajara, Ciudad Guzmán C.P. 49000, Mexico
- Hospital General Zona 9, Ciudad Guzmán C.P. 49000, Mexico
| | - Pablo Cesar Ortiz-Lazareno
- División de Inmunología, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara C.P. 44340, Mexico
| | - Georgina Hernández-Flores
- División de Inmunología, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara C.P. 44340, Mexico
| | - Luis Felipe Jave-Suárez
- Programa de Doctorado en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara C.P. 44340, Mexico
- División de Inmunología, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara C.P. 44340, Mexico
| | - Adriana Aguilar-Lemarroy
- Programa de Doctorado en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara C.P. 44340, Mexico
- División de Inmunología, Centro de Investigación Biomédica de Occidente (CIBO), Instituto Mexicano del Seguro Social (IMSS), Guadalajara C.P. 44340, Mexico
- Correspondence: ; Tel.: +52-331-520-7625
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4
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Wang YY, Hsu SH, Tsai HY, Cheng MC. Sequencing of the coding regions of GNBIL on chromosome 22q11.2 as a risk gene of schizophrenia. Psychiatry Res 2021; 300:113943. [PMID: 33932639 DOI: 10.1016/j.psychres.2021.113943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 04/12/2021] [Indexed: 10/21/2022]
Abstract
GNB1L haploinsufficiency caused by 22q11.2 deletion syndrome may contribute to schizophrenia pathophysiology. We resequenced the protein-coding sequences of GNB1L in 553 patients with schizophrenia and 535 controls from Taiwan. Four common single-nucleotide polymorphisms showed no association with patients with schizophrenia. We identified 17 rare missense mutations, including three that were schizophrenia-associated and predicted as pathogenic (p.R57W, p.G68S, and p.R265C). Given that rare mutations with high penetrance contribute to schizophrenia, missense mutations of GNB1L might increase the risk of schizophrenia in some patients.
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Affiliation(s)
- Yu-Yuan Wang
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan
| | - Shih-Hsin Hsu
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan
| | - Hsin-Yao Tsai
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan
| | - Min-Chih Cheng
- Department of Psychiatry, Yuli Branch, Taipei Veterans General Hospital, Hualien County, Taiwan.
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5
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Ren T, Yang Y, Lin W, Li W, Xian M, Fu R, Zhang Z, Mo G, Luo W, Zhang X. A 31-bp indel in the 5' UTR region of GNB1L is significantly associated with chicken body weight and carcass traits. BMC Genet 2020; 21:91. [PMID: 32847500 PMCID: PMC7450547 DOI: 10.1186/s12863-020-00900-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 08/16/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND G-protein subunit beta 1 like (GNB1L) encodes a G-protein beta-subunit-like polypeptide. Chicken GNB1L is upregulated in the breast muscle of high feed efficiency chickens, and its expression is 1.52-fold that in low feed efficiency chickens. However, no report has described the effects of GNB1L indels on the chicken carcass and growth traits. RESULTS This study identified a 31-bp indel in the 5' untranslated region (UTR) of GNB1L and elucidated the effect of this gene mutation on the carcass and growth traits in chickens. The 31-bp indel showed a highly significant association with the body weight at 8 different stages and was significantly correlated with daily gains at 0 to 4 weeks and 4 to 8 weeks. Similarly, the mutation was significantly associated with small intestine length, breast width, breast depth and breast muscle weight. Moreover, DD and ID were superior genotypes for chicken growth and carcass traits. CONCLUSIONS These results show that the 31-bp indel of GNB1L significantly affects chicken body weight and carcass traits and can serve as a candidate molecular marker for chicken genetics and breeding programs.
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Affiliation(s)
- Tuanhui Ren
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.,College of Life Science, Foshan University, Foshan, 528231, Guangdong, China
| | - Ying Yang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China
| | - Wujian Lin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Wangyu Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Mingjian Xian
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Rong Fu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Zihao Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Guodong Mo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Wen Luo
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China.,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China
| | - Xiquan Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou, 510642, Guangdong, China. .,Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Laboratory of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, 510642, Guangdong, China.
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6
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Maurer GW, Malita A, Nagy S, Koyama T, Werge TM, Halberg KA, Texada MJ, Rewitz K. Analysis of genes within the schizophrenia-linked 22q11.2 deletion identifies interaction of night owl/LZTR1 and NF1 in GABAergic sleep control. PLoS Genet 2020; 16:e1008727. [PMID: 32339168 PMCID: PMC7205319 DOI: 10.1371/journal.pgen.1008727] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 05/07/2020] [Accepted: 03/20/2020] [Indexed: 12/14/2022] Open
Abstract
The human 22q11.2 chromosomal deletion is one of the strongest identified genetic risk factors for schizophrenia. Although the deletion spans a number of known genes, the contribution of each of these to the 22q11.2 deletion syndrome (DS) is not known. To investigate the effect of individual genes within this interval on the pathophysiology associated with the deletion, we analyzed their role in sleep, a behavior affected in virtually all psychiatric disorders, including the 22q11.2 DS. We identified the gene LZTR1 (night owl, nowl) as a regulator of night-time sleep in Drosophila. In humans, LZTR1 has been associated with Ras-dependent neurological diseases also caused by Neurofibromin-1 (Nf1) deficiency. We show that Nf1 loss leads to a night-time sleep phenotype nearly identical to that of nowl loss and that nowl negatively regulates Ras and interacts with Nf1 in sleep regulation. Furthermore, nowl is required for metabolic homeostasis, suggesting that LZTR1 may contribute to the genetic susceptibility to obesity associated with the 22q11.2 DS. Knockdown of nowl or Nf1 in GABA-responsive sleep-promoting neurons elicits the sleep phenotype, and this defect can be rescued by increased GABAA receptor signaling, indicating that Nowl regulates sleep through modulation of GABA signaling. Our results suggest that nowl/LZTR1 may be a conserved regulator of GABA signaling important for normal sleep that contributes to the 22q11.2 DS. Schizophrenia is a devastating mental disorder with a large genetic component to disease predisposition. One of the strongest genetic risk factors for this disorder is a relatively small genetic deletion of 43 genes on the 22nd chromosome, called 22q11.2, which confers about a 25% risk of schizophrenia development. However, it is likely that only some of these deleted genes affect disease risk, so we tested most of them individually. One of the main symptoms of schizophrenia is disturbed sleep. Sleep is an evolutionarily conserved behavior that can be easily studied in the fruit fly Drosophila melanogaster, so we investigated the effect on sleep of blocking expression of the fly homologs of most of the 22q11.2 genes and identified the gene LZTR1 (night owl, nowl) as an important sleep regulator. We found that Nowl/LZTR1 is required for inhibition of the Ras pathway and interacts genetically with the Ras inhibitor NF1. Nowl/LZTR1 appears to function in sleep by modulating inhibitory GABA signaling, which is affected in schizophrenia. Thus, this gene may underlie some of the phenotypes of the human schizophrenia-risk deletion.
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Affiliation(s)
- Gianna W. Maurer
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Alina Malita
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Stanislav Nagy
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Takashi Koyama
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Thomas M. Werge
- Institute for Biological Psychiatry, Mental Health Centre Sct. Hans, Roskilde, Denmark
| | | | - Michael J. Texada
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kim Rewitz
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
- * E-mail:
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7
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Lattanzi GM, Buzzanca A, Frascarelli M, Di Fabio F. Genetic and clinical features of social cognition in 22q11.2 deletion syndrome. J Neurosci Res 2018; 96:1631-1640. [DOI: 10.1002/jnr.24265] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 05/12/2018] [Accepted: 05/15/2018] [Indexed: 12/27/2022]
Affiliation(s)
- Guido Maria Lattanzi
- Department of Human Neurosciences; Sapienza University; Rome 00185 Italy
- Department of Psychosis Studies; Institute of Psychiatry, Psychology and Neuroscience, King's College; London SE5 8AF United Kingdom
| | - Antonino Buzzanca
- Department of Human Neurosciences; Sapienza University; Rome 00185 Italy
| | | | - Fabio Di Fabio
- Department of Human Neurosciences; Sapienza University; Rome 00185 Italy
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8
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Thompson CA, Karelis J, Middleton FA, Gentile K, Coman IL, Radoeva PD, Mehta R, Fremont WP, Antshel KM, Faraone SV, Kates WR. Associations between neurodevelopmental genes, neuroanatomy, and ultra high risk symptoms of psychosis in 22q11.2 deletion syndrome. Am J Med Genet B Neuropsychiatr Genet 2017; 174:295-314. [PMID: 28139055 DOI: 10.1002/ajmg.b.32515] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 11/07/2016] [Indexed: 11/06/2022]
Abstract
22q11.2 deletion syndrome is a neurogenetic disorder resulting in the deletion of over 40 genes. Up to 40% of individuals with 22q11.2DS develop schizophrenia, though little is known about the underlying mechanisms. We hypothesized that allelic variation in functional polymorphisms in seven genes unique to the deleted region would affect lobar brain volumes, which would predict risk for psychosis in youth with 22q11.2DS. Participants included 56 individuals (30 males) with 22q11.2DS. Anatomic MR images were collected and processed using Freesurfer. Participants were genotyped for 10 SNPs in the COMT, DGCR8, GNB1L, PIK4CA, PRODH, RTN4R, and ZDHHC8 genes. All subjects were assessed for ultra high risk symptoms of psychosis. Allelic variation of the rs701428 SNP of RTN4R was significantly associated with volumetric differences in gray matter of the lingual gyrus and cuneus of the occipital lobe. Moreover, occipital gray matter volumes were robustly associated with ultra high risk symptoms of psychosis in the presence of the G allele of rs701428. Our results suggest that RTN4R, a relatively under-studied gene at the 22q11 locus, constitutes a susceptibility gene for psychosis in individuals with this syndrome through its alteration of the architecture of the brain. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Carlie A Thompson
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Jason Karelis
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Frank A Middleton
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Neuroscience, SUNY Upstate Medical University, Syracuse, New York
| | - Karen Gentile
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, New York
| | - Ioana L Coman
- Department of Computer Science, SUNY Oswego, Oswego, New York
| | - Petya D Radoeva
- Department of Psychiatry, University of Washington, Seattle, Washington
| | - Rashi Mehta
- Department of Radiology, SUNY Upstate Medical University, Syracuse, New York
| | - Wanda P Fremont
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Kevin M Antshel
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Psychology, Syracuse University, Syracuse, New York
| | - Stephen V Faraone
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Wendy R Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
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9
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Copy number variability in Parkinson's disease: assembling the puzzle through a systems biology approach. Hum Genet 2016; 136:13-37. [PMID: 27896429 PMCID: PMC5214768 DOI: 10.1007/s00439-016-1749-4] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 11/16/2016] [Indexed: 01/01/2023]
Abstract
Parkinson’s disease (PD), the second most common progressive neurodegenerative disorder of aging, was long believed to be a non-genetic sporadic origin syndrome. The proof that several genetic loci are responsible for rare Mendelian forms has represented a revolutionary breakthrough, enabling to reveal molecular mechanisms underlying this debilitating still incurable condition. While single nucleotide polymorphisms (SNPs) and small indels constitute the most commonly investigated DNA variations accounting for only a limited number of PD cases, larger genomic molecular rearrangements have emerged as significant PD-causing mutations, including submicroscopic Copy Number Variations (CNVs). CNVs constitute a prevalent source of genomic variations and substantially participate in each individual’s genomic makeup and phenotypic outcome. However, the majority of genetic studies have focused their attention on single candidate-gene mutations or on common variants reaching a significant statistical level of acceptance. This gene-centric approach is insufficient to uncover the genetic background of polygenic multifactorial disorders like PD, and potentially masks rare individual CNVs that all together might contribute to disease development or progression. In this review, we will discuss literature and bioinformatic data describing the involvement of CNVs on PD pathobiology. We will analyze the most frequent copy number changes in familiar PD genes and provide a “systems biology” overview of rare individual rearrangements that could functionally act on commonly deregulated molecular pathways. Assessing the global genome-wide burden of CNVs in PD patients may reveal new disease-related molecular mechanisms, and open the window to a new possible genetic scenario in the unsolved PD puzzle.
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Sutherland G, Sheedy D, Stevens J, McCrossin T, Smith C, van Roijen M, Kril J. The NSW brain tissue resource centre: Banking for alcohol and major neuropsychiatric disorders research. Alcohol 2016; 52:33-39. [PMID: 27139235 DOI: 10.1016/j.alcohol.2016.02.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Accepted: 02/17/2016] [Indexed: 12/28/2022]
Abstract
The New South Wales Brain Tissue Resource Centre (NSWBTRC) at the University of Sydney (Australia) is an established human brain bank providing tissue to the neuroscience research community for investigations on alcohol-related brain damage and major psychiatric illnesses such as schizophrenia. The NSWBTRC relies on wide community engagement to encourage those with and without neuropsychiatric illness to consent to donation through its allied research programs. The subsequent provision of high-quality samples relies on standardized operational protocols, associated clinical data, quality control measures, integrated information systems, robust infrastructure, and governance. These processes are continually augmented to complement the changes in internal and external governance as well as the complexity and diversity of advanced investigation techniques. This report provides an overview of the dynamic process of brain banking and discusses the challenges of meeting the future needs of researchers, including synchronicity with other disease-focus collections.
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Guna A, Butcher NJ, Bassett AS. Comparative mapping of the 22q11.2 deletion region and the potential of simple model organisms. J Neurodev Disord 2015; 7:18. [PMID: 26137170 PMCID: PMC4487986 DOI: 10.1186/s11689-015-9113-x] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Accepted: 05/26/2015] [Indexed: 01/18/2023] Open
Abstract
Background 22q11.2 deletion syndrome (22q11.2DS) is the most common micro-deletion syndrome. The associated 22q11.2 deletion conveys the strongest known molecular risk for schizophrenia. Neurodevelopmental phenotypes, including intellectual disability, are also prominent though variable in severity. Other developmental features include congenital cardiac and craniofacial anomalies. Whereas existing mouse models have been helpful in determining the role of some genes overlapped by the hemizygous 22q11.2 deletion in phenotypic expression, much remains unknown. Simple model organisms remain largely unexploited in exploring these genotype-phenotype relationships. Methods We first developed a comprehensive map of the human 22q11.2 deletion region, delineating gene content, and brain expression. To identify putative orthologs, standard methods were used to interrogate the proteomes of the zebrafish (D. rerio), fruit fly (D. melanogaster), and worm (C. elegans), in addition to the mouse. Spatial locations of conserved homologues were mapped to examine syntenic relationships. We systematically cataloged available knockout and knockdown models of all conserved genes across these organisms, including a comprehensive review of associated phenotypes. Results There are 90 genes overlapped by the typical 2.5 Mb deletion 22q11.2 region. Of the 46 protein-coding genes, 41 (89.1 %) have documented expression in the human brain. Identified homologues in the zebrafish (n = 37, 80.4 %) were comparable to those in the mouse (n = 40, 86.9 %) and included some conserved gene cluster structures. There were 22 (47.8 %) putative homologues in the fruit fly and 17 (37.0 %) in the worm involving multiple chromosomes. Individual gene knockdown mutants were available for the simple model organisms, but not for mouse. Although phenotypic data were relatively limited for knockout and knockdown models of the 17 genes conserved across all species, there was some evidence for roles in neurodevelopmental phenotypes, including four of the six mitochondrial genes in the 22q11.2 deletion region. Conclusions Simple model organisms represent a powerful but underutilized means of investigating the molecular mechanisms underlying the elevated risk for neurodevelopmental disorders in 22q11.2DS. This comparative multi-species study provides novel resources and support for the potential utility of non-mouse models in expression studies and high-throughput drug screening. The approach has implications for other recurrent copy number variations associated with neurodevelopmental phenotypes. Electronic supplementary material The online version of this article (doi:10.1186/s11689-015-9113-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alina Guna
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada
| | - Nancy J Butcher
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada ; Institute of Medical Science, University of Toronto, Toronto, ON Canada
| | - Anne S Bassett
- Clinical Genetics Research Program and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada ; Institute of Medical Science, University of Toronto, Toronto, ON Canada ; Dalglish Family Hearts and Minds Clinic for Adults with 22q11.2 Deletion Syndrome, Division of Cardiology, Department of Medicine, Department of Psychiatry, and Toronto General Research Institute, University Health Network, Toronto, ON Canada ; Department of Psychiatry, University of Toronto, Toronto, ON Canada ; Centre for Addiction and Mental Health, 33 Russell Street, Room 1100, M5S 2S1 Toronto, ON Canada
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The schizophrenia/bipolar disorder candidate gene GNB1L is regulated in human temporal cortex by a cis-acting element located within the 3'-region. Neurosci Bull 2014; 31:43-52. [PMID: 24831436 DOI: 10.1007/s12264-014-1461-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2014] [Accepted: 04/28/2014] [Indexed: 10/25/2022] Open
Abstract
22q11.2 deletion syndrome (DS) is a complex developmental disorder with a high incidence of psychiatric illnesses, including schizophrenia and mood disorders. Recent studies have identified Guanine Nucleotide Binding Protein (G protein) Beta Polypeptide 1-Like (GNB1L), located within the 1.5 Mbp 22q11.2 DS critical region, as a candidate liability gene for schizophrenia and bipolar disorder. In this study, we used mRNA expression measurements in Han Chinese postmortem temporal cortex and linkage disequilibrium (LD) analysis to show that GNB1L is regulated by a cis-acting genetic variant within the 3'-region of the gene. Significantly, this variant is located within an LD block that contains all of the common SNPs previously shown to associate with schizophrenia and bipolar disorder in Han Chinese and Caucasian populations. Contrary to our expectations, re-analysis of previously published case-control study data in light of our mRNA expression results implies that the GNB1L high-expression allele is the risk allele for schizophrenia and bipolar disorder in the Han Chinese population.
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13
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Copy number variation at 22q11.2: from rare variants to common mechanisms of developmental neuropsychiatric disorders. Mol Psychiatry 2013; 18:1153-65. [PMID: 23917946 PMCID: PMC3852900 DOI: 10.1038/mp.2013.92] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2013] [Revised: 05/13/2013] [Accepted: 06/24/2013] [Indexed: 11/08/2022]
Abstract
Recently discovered genome-wide rare copy number variants (CNVs) have unprecedented levels of statistical association with many developmental neuropsychiatric disorders, including schizophrenia, autism spectrum disorders, intellectual disability and attention deficit hyperactivity disorder. However, as CNVs often include multiple genes, causal genes responsible for CNV-associated diagnoses and traits are still poorly understood. Mouse models of CNVs are in use to delve into the precise mechanisms through which CNVs contribute to disorders and associated traits. Based on human and mouse model studies on rare CNVs within human chromosome 22q11.2, we propose that alterations of a distinct set of multiple, noncontiguous genes encoded in this chromosomal region, in concert with modulatory impacts of genetic background and environmental factors, variably shift the probabilities of phenotypes along a predetermined developmental trajectory. This model can be further extended to the study of other CNVs and may serve as a guide to help characterize the impact of genes in developmental neuropsychiatric disorders.
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14
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Chen CP, Huang JP, Chen YY, Chern SR, Wu PS, Su JW, Chen YT, Chen WL, Wang W. Chromosome 22q11.2 deletion syndrome: prenatal diagnosis, array comparative genomic hybridization characterization using uncultured amniocytes and literature review. Gene 2013; 527:405-9. [DOI: 10.1016/j.gene.2013.06.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 06/03/2013] [Accepted: 06/04/2013] [Indexed: 12/31/2022]
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15
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Ayalew M, Le-Niculescu H, Levey DF, Jain N, Changala B, Patel SD, Winiger E, Breier A, Shekhar A, Amdur R, Koller D, Nurnberger JI, Corvin A, Geyer M, Tsuang MT, Salomon D, Schork NJ, Fanous AH, O'Donovan MC, Niculescu AB. Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction. Mol Psychiatry 2012; 17:887-905. [PMID: 22584867 PMCID: PMC3427857 DOI: 10.1038/mp.2012.37] [Citation(s) in RCA: 322] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2011] [Revised: 02/28/2012] [Accepted: 03/05/2012] [Indexed: 02/07/2023]
Abstract
We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. Using this polyevidence scoring and pathway analyses, we identify top genes (DISC1, TCF4, MBP, MOBP, NCAM1, NRCAM, NDUFV2, RAB18, as well as ADCYAP1, BDNF, CNR1, COMT, DRD2, DTNBP1, GAD1, GRIA1, GRIN2B, HTR2A, NRG1, RELN, SNAP-25, TNIK), brain development, myelination, cell adhesion, glutamate receptor signaling, G-protein-coupled receptor signaling and cAMP-mediated signaling as key to pathophysiology and as targets for therapeutic intervention. Overall, the data are consistent with a model of disrupted connectivity in schizophrenia, resulting from the effects of neurodevelopmental environmental stress on a background of genetic vulnerability. In addition, we show how the top candidate genes identified by CFG can be used to generate a genetic risk prediction score (GRPS) to aid schizophrenia diagnostics, with predictive ability in independent cohorts. The GRPS also differentiates classic age of onset schizophrenia from early onset and late-onset disease. We also show, in three independent cohorts, two European American and one African American, increasing overlap, reproducibility and consistency of findings from single-nucleotide polymorphisms to genes, then genes prioritized by CFG, and ultimately at the level of biological pathways and mechanisms. Finally, we compared our top candidate genes for schizophrenia from this analysis with top candidate genes for bipolar disorder and anxiety disorders from previous CFG analyses conducted by us, as well as findings from the fields of autism and Alzheimer. Overall, our work maps the genomic and biological landscape for schizophrenia, providing leads towards a better understanding of illness, diagnostics and therapeutics. It also reveals the significant genetic overlap with other major psychiatric disorder domains, suggesting the need for improved nosology.
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Affiliation(s)
- M Ayalew
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
| | - H Le-Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - D F Levey
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - N Jain
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - B Changala
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - S D Patel
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - E Winiger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Breier
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Shekhar
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - R Amdur
- Washington DC VA Medical Center, Washington, DC, USA
| | - D Koller
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - J I Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Geyer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M T Tsuang
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - D Salomon
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - N J Schork
- Department of Molecular and Experimental Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - A H Fanous
- Washington DC VA Medical Center, Washington, DC, USA
| | - M C O'Donovan
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - A B Niculescu
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
- Indianapolis VA Medical Center, Indianapolis, IN, USA
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16
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Chen YZ, Matsushita M, Girirajan S, Lisowski M, Sun E, Sul Y, Bernier R, Estes A, Dawson G, Minshew N, Shellenberg GD, Eichler EE, Rieder MJ, Nickerson DA, Tsuang DW, Tsuang MT, Wijsman EM, Raskind WH, Brkanac Z. Evidence for involvement of GNB1L in autism. Am J Med Genet B Neuropsychiatr Genet 2012; 159B:61-71. [PMID: 22095694 PMCID: PMC3270696 DOI: 10.1002/ajmg.b.32002] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Accepted: 10/21/2011] [Indexed: 11/22/2022]
Abstract
Structural variations in the chromosome 22q11.2 region mediated by nonallelic homologous recombination result in 22q11.2 deletion (del22q11.2) and 22q11.2 duplication (dup22q11.2) syndromes. The majority of del22q11.2 cases have facial and cardiac malformations, immunologic impairments, specific cognitive profile and increased risk for schizophrenia and autism spectrum disorders (ASDs). The phenotype of dup22q11.2 is frequently without physical features but includes the spectrum of neurocognitive abnormalities. Although there is substantial evidence that haploinsufficiency for TBX1 plays a role in the physical features of del22q11.2, it is not known which gene(s) in the critical 1.5 Mb region are responsible for the observed spectrum of behavioral phenotypes. We identified an individual with a balanced translocation 46,XY,t(1;22)(p36.1;q11.2) and a behavioral phenotype characterized by cognitive impairment, autism, and schizophrenia in the absence of congenital malformations. Using somatic cell hybrids and comparative genomic hybridization (CGH) we mapped the chromosome-22 breakpoint within intron 7 of the GNB1L gene. Copy number evaluations and direct DNA sequencing of GNB1L in 271 schizophrenia and 513 autism cases revealed dup22q11.2 in two families with autism and private GNB1L missense variants in conserved residues in three families (P = 0.036). The identified missense variants affect residues in the WD40 repeat domains and are predicted to have deleterious effects on the protein. Prior studies provided evidence that GNB1L may have a role in schizophrenia. Our findings support involvement of GNB1L in ASDs as well.
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Affiliation(s)
- Ying-Zhang Chen
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Mark Matsushita
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Santhosh Girirajan
- Department of Genome Sciences, University of WashingtonSeattle, Washington
| | - Mark Lisowski
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Elizabeth Sun
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Youngmee Sul
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington
| | - Raphael Bernier
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington
| | - Annette Estes
- Department of Speech and Hearing Sciences, University of WashingtonSeattle, Washington
| | - Geraldine Dawson
- Department of Psychiatry, University of North Carolina Chapel HillChapel Hill, North Carolina
| | - Nancy Minshew
- Department of Psychiatry and Neurology, University of PittsburghPittsburgh, Pennsylvania
| | - Gerard D Shellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of MedicinePhiladelphia, Pennsylvania
| | - Evan E Eichler
- Department of Genome Sciences, University of WashingtonSeattle, Washington,Howard Hughes Medical InstituteSeattle, Washington
| | - Mark J Rieder
- Department of Genome Sciences, University of WashingtonSeattle, Washington
| | | | - Debby W Tsuang
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington,VISN-20 Mental Illness Research, Education, and Clinical Center, Department of Veteran AffairsSeattle, Washington
| | - Ming T Tsuang
- Department of Psychiatry University of CaliforniaSan Diego, La Jolla, California
| | - Ellen M Wijsman
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington,Department of Biostatistics, University of WashingtonSeattle, Washington
| | - Wendy H Raskind
- Department of Medicine (Medical Genetics), University of WashingtonSeattle, Washington,Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington,VISN-20 Mental Illness Research, Education, and Clinical Center, Department of Veteran AffairsSeattle, Washington,**Correspondence to: Wendy H. Raskind, Division of Medical Genetics, Department of Medicine, University of Washington, D218, Box 357720, Seattle, WA 98195-7720. E-mail:
| | - Zoran Brkanac
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattle, Washington,*Correspondence to: Zoran Brkanac, Department of Psychiatry and Behavioral Sciences, University of Washington, BB1545, Box 356560, Seattle, WA 98195-6560. E-mail:
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17
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Tanaka S, Syu A, Ishiguro H, Inada T, Horiuchi Y, Ishikawa M, Koga M, Noguchi E, Ozaki N, Someya T, Kakita A, Takahashi H, Nawa H, Arinami T. DPP6 as a candidate gene for neuroleptic-induced tardive dyskinesia. THE PHARMACOGENOMICS JOURNAL 2011; 13:27-34. [PMID: 21826085 DOI: 10.1038/tpj.2011.36] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We implemented a two-step approach to detect potential predictor gene variants for neuroleptic-induced tardive dyskinesia (TD) in schizophrenic subjects. First, we screened associations by using a genome-wide (Illumina HumanHapCNV370) SNP array in 61 Japanese schizophrenia patients with treatment-resistant TD and 61 Japanese schizophrenia patients without TD. Next, we performed a replication analysis in 36 treatment-resistant TD and 138 non-TD subjects. An association of an SNP in the DPP6 (dipeptidyl peptidase-like protein-6) gene, rs6977820, the most promising association identified by the screen, was significant in the replication sample (allelic P=0.008 in the replication sample, allelic P=4.6 × 10(-6), odds ratio 2.32 in the combined sample). The SNP is located in intron-1 of the DPP6 gene and the risk allele was associated with decreased DPP6 gene expression in the human postmortem prefrontal cortex. Chronic administration of haloperidol increased Dpp6 expression in mouse brains. DPP6 is an auxiliary subunit of Kv4 and regulates the properties of Kv4, which regulates the activity of dopaminergic neurons. The findings of this study indicate that an altered response of Kv4/DPP6 to long-term neuroleptic administration is involved in neuroleptic-induced TD.
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Affiliation(s)
- S Tanaka
- Department of Medical Genetics, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
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18
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Li Y, Zhao Q, Wang T, Liu J, Li J, Li T, Zeng Z, Feng G, He L, Shi Y. Association study between GNB1L and three major mental disorders in Chinese Han populations. Psychiatry Res 2011; 187:457-9. [PMID: 20538345 DOI: 10.1016/j.psychres.2010.04.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2009] [Revised: 04/01/2010] [Accepted: 04/18/2010] [Indexed: 10/19/2022]
Abstract
We carried out an association study between GNB1L and three mental disorders (major depressive disorder, bipolar disorder, schizophrenia) in Chinese Han population. Among 1135 cases and 1135 controls, findings suggests that GNB1L is linked with bipolar disorder and schizophrenia and not with major depressive disorder.
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Affiliation(s)
- You Li
- Bio-X Center and Affiliated Changning Mental Health Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
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19
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Amagane H, Watanabe Y, Kaneko N, Nunokawa A, Muratake T, Ishiguro H, Arinami T, Ujike H, Inada T, Iwata N, Kunugi H, Sasaki T, Hashimoto R, Itokawa M, Ozaki N, Someya T. Failure to find an association between myosin heavy chain 9, non-muscle (MYH9) and schizophrenia: a three-stage case-control association study. Schizophr Res 2010; 118:106-12. [PMID: 20188514 DOI: 10.1016/j.schres.2010.01.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2009] [Revised: 01/26/2010] [Accepted: 01/27/2010] [Indexed: 11/27/2022]
Abstract
Several genome-wide linkage studies have suggested linkage between markers on the long arm of chromosome 22 and schizophrenia. It has also been reported that 22q11.2 deletions increase the risk of schizophrenia. Therefore, 22q is a candidate region for schizophrenia. To search for genetic susceptibility loci for schizophrenia on 22q, we conducted a three-stage case-control association study in Japanese individuals. In the first stage, we examined 13 microsatellite markers on 22q in 766 individuals (340 patients with schizophrenia and 426 control individuals) and found a potential association of AFM262VH5 (D22S283) with schizophrenia. In the second stage, we performed fine mapping of the myosin heavy chain 9, non-muscle (MYH9) gene, where AFM262VH5 is located, using 25 tagging single nucleotide polymorphisms (SNPs). We obtained potential associations between three SNPs in MYH9 and schizophrenia in 1193 individuals (595 patients and 598 controls), which included the individuals analyzed in the first stage. In the third stage, however, we could not replicate these associations in 4694 independent individuals (2288 patients and 2406 controls). Our results suggest that MYH9 does not confer increased susceptibility to schizophrenia in the Japanese population, although we could not exclude possible contributions of other genes on 22q to the pathogenesis of schizophrenia.
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Affiliation(s)
- Hideki Amagane
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, 757 Asahimachidori-ichibancho, Chuo-ku, Niigata 951-8510, Japan
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20
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Syu A, Ishiguro H, Inada T, Horiuchi Y, Tanaka S, Ishikawa M, Arai M, Itokawa M, Niizato K, Iritani S, Ozaki N, Takahashi M, Kakita A, Takahashi H, Nawa H, Keino-Masu K, Arikawa-Hirasawa E, Arinami T. Association of the HSPG2 gene with neuroleptic-induced tardive dyskinesia. Neuropsychopharmacology 2010; 35:1155-64. [PMID: 20072119 PMCID: PMC3055411 DOI: 10.1038/npp.2009.220] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Tardive dyskinesia (TD) is characterized by repetitive, involuntary, and purposeless movements that develop in patients treated with long-term dopaminergic antagonists, usually antipsychotics. By a genome-wide association screening of TD in 50 Japanese schizophrenia patients with treatment-resistant TD and 50 Japanese schizophrenia patients without TD (non-TD group) and subsequent confirmation in independent samples of 36 treatment-resistant TD and 136 non-TD subjects, we identified association of a single nucleotide polymorphism, rs2445142, (allelic p=2 x 10(-5)) in the HSPG2 (heparan sulfate proteoglycan 2, perlecan) gene with TD. The risk allele was significantly associated with higher expression of HSPG2 in postmortem human prefrontal brain (p<0.01). Administration of daily injection of haloperidol (HDL) for 50 weeks significantly reduced Hspg2 expression in mouse brains (p<0.001). Vacuous chewing movements (VCMs) induced by 7-week injection of haloperidol-reserpine were significantly infrequent in adult Hspg2 hetero-knockout mice compared with wild-type littermates (p<0.001). Treatment by the acetylcholinesterase inhibitor, physostigmine, was significantly effective for reduction of VCMs in wild-type mice but not in Hspg2 hetero-knockout mice. These findings suggest that the HSPG2 gene is involved in neuroleptic-induced TD and higher expression of HSPG2, probably even after antipsychotic treatment, and may be associated with TD susceptibility.
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Affiliation(s)
- Aoi Syu
- Department of Medical Genetics and Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan,CREST, Japan Science and Technology Agency, Kawaguchi-shi, Saitama, Japan
| | - Hiroki Ishiguro
- Department of Medical Genetics and Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan,CREST, Japan Science and Technology Agency, Kawaguchi-shi, Saitama, Japan
| | - Toshiya Inada
- Institute of Neuropsychiatry, Seiwa Hospital, Tokyo, Japan
| | - Yasue Horiuchi
- Department of Medical Genetics and Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan,CREST, Japan Science and Technology Agency, Kawaguchi-shi, Saitama, Japan
| | - Syunsuke Tanaka
- Department of Medical Genetics and Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Maya Ishikawa
- Department of Medical Genetics and Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Makoto Arai
- Department of Schizophrenia Research, Tokyo Institute of Psychiatry, Tokyo, Japan
| | - Masanari Itokawa
- Department of Schizophrenia Research, Tokyo Institute of Psychiatry, Tokyo, Japan
| | - Kazuhiro Niizato
- Department of Psychiatry, Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - Shuji Iritani
- Department of Psychiatry, Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - Norio Ozaki
- Department of Psychiatry, School of Medicine, Nagoya University, Nagoya, Aichi, Japan
| | - Makoto Takahashi
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Akiyoshi Kakita
- Brain Research Institute, Niigata University, Niigata, Japan
| | | | - Hiroyuki Nawa
- Brain Research Institute, Niigata University, Niigata, Japan
| | - Kazuko Keino-Masu
- Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Eri Arikawa-Hirasawa
- Research Institute for Diseases of Old Age, Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Tadao Arinami
- Department of Medical Genetics and Department of Molecular Neurobiology, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan,CREST, Japan Science and Technology Agency, Kawaguchi-shi, Saitama, Japan,Department of Medical Genetics, Graduate School of Comprehensive Human Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki 305-8575, Japan. Tel: +81-29-853-3177; Fax: +81-29-853-3333; E-mail:
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