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Yamaguchi R, Matsudaira I, Takeuchi H, Imanishi T, Kimura R, Tomita H, Kawashima R, Taki Y. RELN rs7341475 associates with brain structure in japanese healthy females. Neuroscience 2022; 494:38-50. [DOI: 10.1016/j.neuroscience.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 04/06/2022] [Accepted: 05/06/2022] [Indexed: 11/25/2022]
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Association Between REELIN Gene Polymorphisms (rs7341475 and rs262355) and Risk of Schizophrenia: an Updated Meta-analysis. J Mol Neurosci 2020; 71:675-690. [PMID: 32889693 DOI: 10.1007/s12031-020-01696-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 08/30/2020] [Indexed: 12/11/2022]
Abstract
Schizophrenia (SCZ) is a destructive neuropsychiatric illness affecting millions of people worldwide. The correlation between RELN gene polymorphisms and SCZ was investigated by previous researches, though the results remained conflicting. Based on the available studies, we conducted this meta-analysis to provide a more comprehensive outcome on whether the RELN gene polymorphisms (rs7341475 and rs262355) are associated with SCZ. A total of 15 studies with 25,403 subjects (9047 cases and 16,356 controls) retrieved from PubMed, ScienceDirect, EMBASE, Wiley, BMC, Cochrane, Springer, MDPI, SAGE, and Google Scholar up to June 2020 were included. Meta-analysis was performed using Review Manager 5.3. The heterogeneity was checked using I2 statistics and Q-test, whereas publication bias was also measured. The rs7341475 polymorphism showed a significantly lower risk for SCZ for the allele (A vs. G: OR = 0.93, 95%CI = 0.87-0.99), codominant 1 (AG vs. GG: OR = 0.92, 95%CI = 0.85-0.99), dominant model (AA+AG vs. GG: OR = 0.92, 95%CI = 0.86-0.98), and over dominant model (AG vs. AA+GG: OR = 0.92, 95%Cl = 0.86-0.99). The allele, codominant model 1, and dominant models remained statistically significant after the correction of the Bonferroni (p < 0.025). Subgroup analysis confirmed the association of allele and dominant models in the Caucasian after Bonferroni correction. For rs262355 polymorphism, a significantly increased risk of SCZ was found only in Caucasians for codominant 2, dominant, and allele models, but significance exists only for the allele model after Bonferroni correction. Publication bias was found in the case of codominant 2 and recessive models for rs7341475 in the overall population, but this publication was not found after performing the Bonferroni correction or after performing the subgroup analysis. No such publication was found for rs262355. The results suggest that RELN rs7341475 is associated with a lower risk of SCZ in the overall population and Caucasian population, but rs262355 is associated with an increased risk of SCZ only in the Caucasian population.
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Xiao X, Yu H, Li J, Wang L, Li L, Chang H, Zhang D, Yue W, Li M. Further evidence for the association between LRP8 and schizophrenia. Schizophr Res 2020; 215:499-505. [PMID: 28495490 DOI: 10.1016/j.schres.2017.05.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 04/25/2017] [Accepted: 05/01/2017] [Indexed: 11/25/2022]
Abstract
Previous studies (including genome-wide association study (GWAS) and candidate gene studies) have revealed the important roles of genetic risk factors in schizophrenia, and RELN has been identified as a risk gene for this illness. We recently found that the low-density lipoprotein receptor-related protein 8 (LRP8), a receptor of Reelin (the protein encoded by RELN), was significantly associated with schizophrenia and bipolar disorder in European populations. To further enhance our understanding of its role in the risk of psychiatric illnesses, we conducted meta-analyses of a higher density of single nucleotide polymorphisms (SNPs, N=173) in LRP8 to understand their associations with schizophrenia in much larger samples (39,400 cases and 50,357 controls) from populations of European, Chinese and African American ancestries. The significant risk SNPs then underwent further analyses to understand their correlations with bipolar disorder and anxiety disorders, as well as LRP8 expression. We observed that rs5177 in the 3' untranslated region (3'UTR) of LRP8 was associated with schizophrenia and other psychiatric disorders, and rs5177 was also associated with LRP8 mRNA expression. These data further support LRP8 as a schizophrenia susceptibility gene, and suggest that this variant is likely a risk locus in general populations.
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Affiliation(s)
- Xiao Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Hao Yu
- Peking University Sixth Hospital & Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China; Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China; Department of Psychiatry, Jining Medical University, Jining, Shandong, China
| | - Jun Li
- Peking University Sixth Hospital & Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Lingyi Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Hong Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China
| | - Dai Zhang
- Peking University Sixth Hospital & Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China
| | - Weihua Yue
- Peking University Sixth Hospital & Institute of Mental Health, Beijing, China; National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, China.
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Association between RELN polymorphisms and schizophrenia in a Han population from Northeast China. Psychiatr Genet 2019; 29:232-236. [PMID: 31469785 DOI: 10.1097/ypg.0000000000000235] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To explore the association between the RELN gene and schizophrenia in the overall sample and samples stratified by sex in a northeastern Chinese population. METHODS A total of 1536 participants from Jilin Province, China, were recruited in this case-control study. Four single nucleotide polymorphisms (rs1062831, rs3808039, rs362746, and rs736707) in the RELN gene were genotyped. Binary logistic regression analysis was applied to detect associations between the genotypes of each single nucleotide polymorphism and schizophrenia. P values of no more than 0.003125 [0.05/(4 SNPs*4 different genetic models)] after Bonferroni correction were considered statistically significant. RESULTS All single-nucleotide polymorphisms conformed to Hardy-Weinberg equilibrium in the control group. Logistic regression analysis revealed that after Bonferroni correction, rs362746 was associated with schizophrenia under the recessive model (P = 0.001) and codominant model (P = 0.003) in the overall group. The association between schizophrenia and RELN single-nucleotide polymorphisms was not found in a sex-specific pattern after Bonferroni correction. CONCLUSION Our study provides and supports the evidence that RELN is a candidate gene for schizophrenia. Replication studies conducted in different populations are required, and the sex-specific association of this gene with schizophrenia warrants further exploration.
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Female gender specific association of the Reelin (RELN) gene rs7341475 variant with schizophrenia. Mol Biol Rep 2019; 46:3411-3416. [PMID: 30980267 DOI: 10.1007/s11033-019-04803-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 04/05/2019] [Indexed: 12/25/2022]
Abstract
RELN gene encodes a large extracellular matrix protein which is critical for neuronal migration, cell positioning and cell-cell interactions. It also controls the synaptic plasticity of neurons for initiation and maintenance of long term potentiation. The aim of this study is to investigate the association of RELN rs7341475 variant with schizophrenia. Genomic DNA isolation was performed from 105 schizophrenic patients and 137 healthy controls to determine RELN rs7341475 genotypes. Genotype and allele frequencies were determined by a polymerase chain reaction-restriction fragment length polymorphism method developed in our laboratory. Statistical analysis was performed using χ2 test. The frequencies for G allele were 79.5% in cases and 81.0% in controls, for A allele 20.5% in cases and 19.0% in controls in the overall population. The genotype frequencies of the RELN gene rs7341475 variant were GG; 63.8%, GA; 31.4% and AA; 4.8% in cases, GG; 63.5%, GA; 35.0% and AA; 1.5% in controls in the overall population. There was no statistically significant association between the rs7341475 variant of RELN gene and schizophrenia in the overall population (χ2 = 2.473, p = 0.290). In the gender specific analysis, female gender specific association was only found. The RELN rs7341475 variant GG genotype was significantly associated with schizophrenia (p = 0.034, OR 2.760, 95% CI 1.058-7.197) and A allele was protective against schizophrenia (p = 0.034, OR 0.362, 95% CI 0.139-0.945). All cases and controls were in Hardy-Weinberg equilibrium (p > 0.05). Population size can be increased to improve the statistical power. Moreover, other RELN gene variants which are especially involved in neuronal migration and epigenetic regulation may be analyzed for revealing the complex genetic architecture of schizophrenia. In conclusion, there was only association between the RELN rs7341475 variant and schizophrenia in the female gender in a Turkish population.
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Luo X, Chen S, Xue L, Chen JH, Shi YW, Zhao H. SNP Variation of RELN Gene and Schizophrenia in a Chinese Population: A Hospital-Based Case-Control Study. Front Genet 2019; 10:175. [PMID: 30891068 PMCID: PMC6413413 DOI: 10.3389/fgene.2019.00175] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 02/18/2019] [Indexed: 02/05/2023] Open
Abstract
Aims: We aimed to explore whether RELN contributes to the vulnerability and severity of clinical symptoms of schizophrenia (SZ) in a Chinese population. Methods: The following were conducted in an adult Han Chinese population from southern China: case-control association analyses of 30 representative single nucleotide polymorphisms (SNPs) that were screened according to specific programs based on bioinformatics tools and former research and quantitative trait locus analyses with SNPs and psychiatric symptoms evaluated with the positive and negative symptoms scale. Results: A 4-SNP haplotype consisting of rs362814, rs39339, rs540058, and rs661575 was found to be significantly associated with SZ even after Bonferroni correction (χ2 = 29.024, p = 6.42E-04, p Bonf = 0.017), and the T-C-T-C haplotype was a protective factor for SZ (OR = 0.050, 95% CI = 0.004-0.705). Moreover, the 4-SNP haplotype showed a significant association with G16 (active social avoidance) after false discovery rate correction (χ2 = 28.620, p = 1.697E-04, p FDR = 0.025). In addition, P7 (hostility) was related to the haplotype comprising rs2229864, rs2535764, and rs262355 (χ2 = 31.424, p = 2.103E-05, p adjustment = 0.019) in quantitative trait loci analyses. Conclusion: Overall, this study showed several positive associations between RELN and SZ, as well as psychiatric symptoms, which not only supports the proposition that RELN is a susceptibility gene for SZ but also provides information on a genotype-phenotype correlation for SZ in a Chinese population.
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Affiliation(s)
- Xia Luo
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China
- Department of Psychiatry, Shantou University Medical College, Shantou, China
| | - Si Chen
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Institute of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, China
| | - Li Xue
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
- *Correspondence: Jian-Huan Chen, Yan-Wei Shi, Hu Zhao,
| | - Yan-Wei Shi
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Jian-Huan Chen, Yan-Wei Shi, Hu Zhao,
| | - Hu Zhao
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
- Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou, China
- *Correspondence: Jian-Huan Chen, Yan-Wei Shi, Hu Zhao,
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Chen N, Bao Y, Xue Y, Sun Y, Hu D, Meng S, Lu L, Shi J. Meta-analyses of RELN variants in neuropsychiatric disorders. Behav Brain Res 2017; 332:110-119. [PMID: 28506622 DOI: 10.1016/j.bbr.2017.05.028] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 05/08/2017] [Accepted: 05/10/2017] [Indexed: 10/19/2022]
Abstract
Reelin is a critical extracellular matrix glycoprotein and implicated in neurodevelopment and psychiatric disorders in animal model studies. The genetic polymorphism of RELN has also been reported to be associated with several psychiatric disorders, but the results remain controversial. Here, we conducted meta-analyses of RELN gene SNPs and related neuropsychiatric disorders (schizophrenia, autistic spectrum disorders, attention-deficit hyperactivity disorder, Alzheimer's disease and bipolar disorders). A total of 12 SNPs (rs736707, rs362691, rs607755, rs2229864, rs7341475, rs262355, rs362719, rs11496125, g.-888G>C, rs2299356, rs528528, and rs4298437) in RELN gene were included into meta-analyses. Subgroup analyses based on ethnicity were performed. We found that RELN rs736707 was significantly related with psychiatric disorders (schizophrenia, autism spectrum disorders and attention-deficit hyperactivity disorder) in Asian group (C vs T, OR=1.26, 95% CI=1.13-1.41, P<0.01, FDR<0.01), and rs7341475 was only significantly associated with reduced risk of schizophrenia in Caucasian (A vs G, OR=0.88, 95% CI=0.82-0.95, P<0.01, FDR<0.01). No association of other SNPs and psychiatric disorders is found. These findings suggest a role of RELN SNPs in psychiatric diseases, and indicate that further researches in populations with different genetic background and studies with larger sample size are of great value.
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Affiliation(s)
- Na Chen
- National Institute on Drug Dependence, Peking University, Beijing, China; School of Basic Medical Science, Peking University, Beijing, China
| | - Yanping Bao
- National Institute on Drug Dependence, Peking University, Beijing, China
| | - Yanxue Xue
- National Institute on Drug Dependence, Peking University, Beijing, China; School of Basic Medical Science, Peking University, Beijing, China; Beijing Key Laboratory on Drug Dependence Research, Beijing, China
| | - Yan Sun
- National Institute on Drug Dependence, Peking University, Beijing, China; School of Basic Medical Science, Peking University, Beijing, China; Beijing Key Laboratory on Drug Dependence Research, Beijing, China
| | - Die Hu
- National Institute on Drug Dependence, Peking University, Beijing, China; School of Basic Medical Science, Peking University, Beijing, China; Beijing Key Laboratory on Drug Dependence Research, Beijing, China
| | - Shiqiu Meng
- National Institute on Drug Dependence, Peking University, Beijing, China; School of Basic Medical Science, Peking University, Beijing, China; Beijing Key Laboratory on Drug Dependence Research, Beijing, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University, Beijing, China; Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University, Beijing, China; School of Basic Medical Science, Peking University, Beijing, China; Beijing Key Laboratory on Drug Dependence Research, Beijing, China; The State Key Laboratory of Natural and Biomimetic Drugs, Beijing, China; Key Laboratory for Neuroscience of the Ministry of Education and Ministry of Public Healthy, Beijing, China.
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Association studies of genomic variants with treatment response to risperidone, clozapine, quetiapine and chlorpromazine in the Chinese Han population. THE PHARMACOGENOMICS JOURNAL 2015; 16:357-65. [PMID: 26282453 DOI: 10.1038/tpj.2015.61] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 06/08/2015] [Accepted: 07/14/2015] [Indexed: 01/01/2023]
Abstract
Schizophrenia is a widespread mental disease with a prevalence of about 1% in the world population. Continuous long-term treatment is required to maintain social functioning and prevent symptom relapse of schizophrenia patients. However, there are considerable individual differences in response to the antipsychotic drugs. There is a pressing need to identify more drug-response-related markers. But most pharmacogenomics of schizophrenia have typically focused on a few candidate genes in small sample size. In this study, 995 subjects were selected for discovering the drug-response-related markers. A total of 77 single-nucleotide polymorphisms of 25 genes have been investigated for four commonly used antipsychotic drugs in China: risperidone, clozapine, quetiapine, and chlorpromazine. Significant associations with treatment response for several genes, such as CYP2D6, CYP2C19, COMT, ABCB1, DRD3 and HTR2C have been verified in our study. Also, we found several new candidate genes (TNIK, RELN, NOTCH4 and SLC6A2) and combinations (haplotype rs1544325-rs5993883-rs6269-rs4818 in COMT) that are associated with treatment response to the four drugs. Also, multivariate interactions analysis demonstrated the combination of rs6269 in COMT and rs3813929 in HTR2C may work as a predictor to improve the clinical antipsychotic response. So our study is of great significance to improve current knowledge on the pharmacogenomics of schizophrenia, thus promoting the implementation of personalized medicine in schizophrenia.The Pharmacogenomics Journal advance online publication, 18 August 2015; doi:10.1038/tpj.2015.61.
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Lyu J, Zhang J. Characteristics of schizophrenia suicides compared with suicides by other diagnosed psychiatric disorders and those without a psychiatric disorder. Schizophr Res 2014; 155:59-65. [PMID: 24657011 PMCID: PMC4003875 DOI: 10.1016/j.schres.2014.02.018] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Revised: 02/22/2014] [Accepted: 02/26/2014] [Indexed: 12/31/2022]
Abstract
BACKGROUND There has been much literature on schizophrenia, but very little is known about the characteristics of suicides with schizophrenia in comparison with the suicides with other diagnosed psychiatric disorders and without psychiatric disorders. METHODS Thirty-eight suicides with schizophrenia, 150 suicides with other psychiatric disorder, and 204 suicides without a psychiatric disorder were entered in current study. Psychological autopsy (PA) was applied to collect information of the suicides. Social demographic factors and clinical characteristics of the suicides were measured. The well validated standard scales were applied: Beck Hopelessness Scale (BHS), Landerman's Social Support Scale (DSSI), Dickman's Impulsivity Inventory (DII), Spielberger State-Trait Anxiety Inventory (STAI) and Hamilton Depression Scale (HAMD). Suicide intents were appraised by the Beck Suicide Intent Scale (SIS). The SCID based on the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV) was applied to assess the psychiatric status of individuals. Demographic characteristics, clinical characteristics, method of suicide and suicide intents of suicides were compared among the three groups (schizophrenia group, other psychiatric disorders group, and none psychiatric disorders group). RESULTS There were 9.7% of suicides who suffered schizophrenia. The current study found that being female was the risk factor for suicides with schizophrenia in rural China, which was opposite to the previous studies. The suicides with psychiatric disorder scored higher on hopelessness, anxiety, and depression, but lower on social support and impulsivity than suicides without psychiatric disorder. The suicides with psychiatric disorder were less impulsive than none psychiatric disorders group, too. The schizophrenia group did not show more violence than other psychiatric disorders group. CONCLUSIONS This research compared the demographic characteristics, clinical characteristics, method of suicide and suicide intents among the suicides with schizophrenia, with other diagnosed psychiatric disorder and without psychiatric disorders. The result indicated that each groups showed their unique characteristics, which gave us new viewpoints to control and prevent the prevalence of suicides according to their different characteristics.
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Affiliation(s)
- Juncheng Lyu
- Shandong University, School of Public Health Center for Suicide Prevention Research, China; Weifang Medical University, China
| | - Jie Zhang
- Shandong University, School of Public Health Center for Suicide Prevention Research, China; State University of New York College at Buffalo, Department of Sociology, USA.
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