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Li G, Dai J, Liu H, Lin Y, Liu Q, Zheng K, Li S, Chen S, Ye Y. Association study between genetic variants and the risk of schizophrenia in the Chinese population based on GWAS-implicated 6p21.3-23.1 human genome region: a case-control study. BMC Psychiatry 2021; 21:483. [PMID: 34607594 PMCID: PMC8489080 DOI: 10.1186/s12888-021-03496-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/20/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Schizophrenia is a polygenic disease; however, the specific risk genetic variants of schizophrenia are still largely unknown. Single nucleotide polymorphism (SNP) is important genetic factor for the susceptibility of schizophrenia. Investigating individual candidate gene contributing to disease risk remains important. METHODS In a case-control study, five SNPs located in 6p21.3-p23.1 including rs2021722 in human leukocyte antigen (HLA) locus and rs107822, rs383711, rs439205 and rs421446 within the upstream of microRNA-219a-1 were genotyped in 454 schizophrenia patients and 445 healthy controls to investigate the possible association between the loci and schizophrenia in a Han Chinese population. RESULTS Our results showed significant associations between the rs2021722 and schizophrenia in allele (A vs. G: adjusted OR = 1.661, 95%CI = 1.196-2.308), co-dominant (AG vs. GG: OR = 1.760, 95%CI = 1.234-2.510) and dominant genetic model (AG + AA vs. GG: OR = 1.756, 95%CI = 1.237-2.492), respectively. Haplotype analysis showed that TGGT and CAAC were protective factor for schizophrenia compared with TAAC haplotype (OR = 0.324, 95% CI = 0.157-0.672; OR = 0.423, 95% CI = 0.199-0.900). CONCLUSIONS These findings indicate that rs2021722 in HLA locus might be involved in pathogenesis of schizophrenia and that genotypes AG and allele A of the locus are risk factors for schizophrenia in the Han Chinese population, confirming the association between immune system and schizophrenia.
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Affiliation(s)
- Gangqin Li
- grid.13291.380000 0001 0807 1581Department of Forensic Psychiatry, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041 Sichuan China
| | - Jie Dai
- grid.415880.00000 0004 1755 2258Department of Pathology, Sichuan Cancer Hospital, Chengdu, Sichuan China
| | - Hao Liu
- grid.13291.380000 0001 0807 1581Department of Forensic Psychiatry, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041 Sichuan China
| | - Yushan Lin
- grid.13291.380000 0001 0807 1581West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan China
| | - Qiaoni Liu
- grid.13291.380000 0001 0807 1581West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan China
| | - Kaiyuan Zheng
- grid.13291.380000 0001 0807 1581West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan China
| | - Suyu Li
- grid.13291.380000 0001 0807 1581West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan China
| | - Siyu Chen
- Nanchong Psychosomatic Hospital, Nanchong, 637000, Sichuan, China.
| | - Yi Ye
- Department of Forensic Toxicological Analysis, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
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Tao B, Xiao Y, Hu N, Shah C, Liu L, Gao X, Liu J, Zhang W, Yao L, Xu H, Hua J, Lui S. Reduced cortical thickness related to single nucleotide polymorphisms in the major histocompatibility complex region in antipsychotic-naive schizophrenia. Brain Behav 2019; 9:e01253. [PMID: 30924326 PMCID: PMC6598395 DOI: 10.1002/brb3.1253] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 01/30/2019] [Accepted: 02/13/2019] [Indexed: 02/05/2023] Open
Abstract
The aim of this study was to explore the relationships between changes in cortical thickness and single nucleotide polymorphisms (SNPs) in the major histocompatibility complex (MHC) region in a group of antipsychotic-naive schizophrenia (AN-SCZ) patients. Methods Twenty-five AN-SCZ patients and 51 healthy controls (HCs) participated in this study. General linear models were used to identify associations between the average cortical thicknesses of each brain region (N = 68) and each of the 11 SNPs in the MHC region in the AN-SCZ patients and HCs. Next, we performed independent-sample t tests to investigate whether cortical thickness was significantly lower in the AN-SCZ patients than in HCs in the brain regions that were significantly associated with the SNPs. Finally, we examined the correlations between clinical symptoms and cortical thickness in the above brain areas in the whole AN-SCZ group using Pearson correlation tests. Results Seven of the 11 SNPs within the MHC region were significantly associated with cortical thickness only in the AN-SCZ patients; these included rs1635, rs1736913, rs2021722, rs204999, rs2523722, rs3131296, and rs9272105. The AN-SCZ patients had significantly thinner cortical thicknesses in the above brain regions, especially the prefrontal cortex. Furthermore, the left entorhinal region was negatively correlated with Positive and Negative Symptom Scale (PANSS) activation scores in the AN-SCZ group (r = -0.601, p = 0.03). Conclusions This study provides evidence demonstrating the potential effects of MHC risk variants in cortical thickness deficits in AN-SCZ. These data also support the notion that the immune system plays critical roles in the pathology of schizophrenia, which is mediated via the modulation of the development of cerebral cortical structures.
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Affiliation(s)
- Bo Tao
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Yuan Xiao
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Na Hu
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Chandan Shah
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Lu Liu
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Xin Gao
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Jieke Liu
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Wenjing Zhang
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Li Yao
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
| | - Heng Xu
- State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China
| | - Jun Hua
- Department of Radiology, Johns Hopkins University of Medicine, Baltimore, Maryland
| | - Su Lui
- Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China
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