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Becic A, Leifeld J, Shaukat J, Hollmann M. Tetraspanins as Potential Modulators of Glutamatergic Synaptic Function. Front Mol Neurosci 2022; 14:801882. [PMID: 35046772 PMCID: PMC8761850 DOI: 10.3389/fnmol.2021.801882] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/07/2021] [Indexed: 12/16/2022] Open
Abstract
Tetraspanins (Tspans) comprise a membrane protein family structurally defined by four transmembrane domains and intracellular N and C termini that is found in almost all cell types and tissues of eukaryotes. Moreover, they are involved in a bewildering multitude of diverse biological processes such as cell adhesion, motility, protein trafficking, signaling, proliferation, and regulation of the immune system. Beside their physiological roles, they are linked to many pathophysiological phenomena, including tumor progression regulation, HIV-1 replication, diabetes, and hepatitis. Tetraspanins are involved in the formation of extensive protein networks, through interactions not only with themselves but also with numerous other specific proteins, including regulatory proteins in the central nervous system (CNS). Interestingly, recent studies showed that Tspan7 impacts dendritic spine formation, glutamatergic synaptic transmission and plasticity, and that Tspan6 is correlated with epilepsy and intellectual disability (formerly known as mental retardation), highlighting the importance of particular tetraspanins and their involvement in critical processes in the CNS. In this review, we summarize the current knowledge of tetraspanin functions in the brain, with a particular focus on their impact on glutamatergic neurotransmission. In addition, we compare available resolved structures of tetraspanin family members to those of auxiliary proteins of glutamate receptors that are known for their modulatory effects.
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Adjei AA, Lopez CL, Schaid DJ, Sloan JA, Le-Rademacher JG, Loprinzi CL, Norman AD, Olson JE, Couch FJ, Beutler AS, Vachon CM, Ruddy KJ. Genetic Predictors of Chemotherapy-Induced Peripheral Neuropathy from Paclitaxel, Carboplatin and Oxaliplatin: NCCTG/Alliance N08C1, N08CA and N08CB Study. Cancers (Basel) 2021; 13:1084. [PMID: 33802509 PMCID: PMC7959452 DOI: 10.3390/cancers13051084] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/17/2021] [Accepted: 02/23/2021] [Indexed: 12/14/2022] Open
Abstract
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and potentially permanent adverse effect of chemotherapeutic agents including taxanes such as paclitaxel and platinum-based compounds such as oxaliplatin and carboplatin. Previous studies have suggested that genetics may impact the risk of CIPN. We conducted genome-wide association studies (GWASs) for CIPN in two independent populations who had completed European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ)-CIPN20 assessments (a CIPN-specific 20-item questionnaire which includes three scales that evaluate sensory, autonomic, and motor symptoms). The study population N08Cx included 692 participants from three clinical trials (North Central Cancer Treatment Group (NCCTG) N08C1, N08CA, and N08CB) who had been treated with paclitaxel, paclitaxel plus carboplatin, or oxaliplatin. The primary endpoint for the GWAS was the change from pre-chemotherapy CIPN20 sensory score to the worse score over the following 18 weeks. Study population The Mayo Clinic Breast Disease Registry (MCBDR) consisted of 381 Mayo Clinic Breast Disease Registry enrollees who had been treated with taxane or platinum-based chemotherapy. The primary endpoint for the GWAS assessed was the earliest CIPN20 sensory score available after the completion of chemotherapy. In multivariate model analyses, chemotherapy regimen (p = 3.0 × 10-8) and genetic ancestry (p = 0.007) were significantly associated with CIPN in the N08Cx population. Only age (p = 0.0004) was significantly associated with CIPN in the MCBDR population. The SNP most associated with CIPN was rs56360211 near PDE6C (p =7.92 × 10-8) in N08Cx and rs113807868 near TMEM150C in the MCBDR (p = 1.27 × 10-8). Due to a lack of replication, we cannot conclude that we identified any genetic predictors of CIPN.
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Affiliation(s)
- Araba A. Adjei
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Alliance Cancer Control Program, Mayo Clinic, Rochester, MN 55905, USA
| | - Camden L. Lopez
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Daniel J. Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Jeff A. Sloan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN 55905, USA
| | - Jennifer G. Le-Rademacher
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN 55905, USA
| | - Charles L. Loprinzi
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Alliance Cancer Control Program, Mayo Clinic, Rochester, MN 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Aaron D. Norman
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Janet E. Olson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Andreas S. Beutler
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Celine M. Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA; (C.L.L.); (D.J.S.); (J.A.S.); (J.G.L.-R.); (J.E.O.); (C.M.V.); (A.D.N.)
| | - Kathryn J. Ruddy
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA; (A.A.A.); (C.L.L.); (A.S.B.)
- Alliance Cancer Control Program, Mayo Clinic, Rochester, MN 55905, USA
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Gavin RL, Koo CZ, Tomlinson MG. Tspan18 is a novel regulator of thrombo-inflammation. Med Microbiol Immunol 2020; 209:553-564. [PMID: 32447449 PMCID: PMC7395042 DOI: 10.1007/s00430-020-00678-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 05/06/2020] [Indexed: 12/18/2022]
Abstract
The interplay between thrombosis and inflammation, termed thrombo-inflammation, causes acute organ damage in diseases such as ischaemic stroke and venous thrombosis. We have recently identified tetraspanin Tspan18 as a novel regulator of thrombo-inflammation. The tetraspanins are a family of 33 membrane proteins in humans that regulate the trafficking, clustering, and membrane diffusion of specific partner proteins. Tspan18 partners with the store-operated Ca2+ entry channel Orai1 on endothelial cells. Orai1 appears to be expressed in all cells and is critical in health and disease. Orai1 mutations cause human immunodeficiency, resulting in chronic and often lethal infections, while Orai1-knockout mice die at around the time of birth. Orai1 is a promising drug target in autoimmune and inflammatory diseases, and Orai1 inhibitors are in clinical trials. The focus of this review is our work on Tspan18 and Orai1 in Tspan18-knockout mice and Tspan18-knockdown primary human endothelial cells. Orai1 trafficking to the cell surface is partially impaired in the absence of Tspan18, resulting in impaired Ca2+ signaling and impaired release of the thrombo-inflammatory mediator von Willebrand factor following endothelial stimulation. As a consequence, Tspan18-knockout mice are protected in ischemia-reperfusion and deep vein thrombosis models. We provide new evidence that Tspan18 is relatively highly expressed in endothelial cells, through the analysis of publicly available single-cell transcriptomic data. We also present new data, showing that Tspan18 is required for normal Ca2+ signaling in platelets, but the functional consequences are subtle and restricted to mildly defective platelet aggregation and spreading induced by the platelet collagen receptor GPVI. Finally, we generate structural models of human Tspan18 and Orai1 and hypothesize that Tspan18 regulates Orai1 Ca2+ channel function at the cell surface by promoting its clustering.
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Affiliation(s)
- Rebecca L Gavin
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - Chek Ziu Koo
- School of Biosciences, University of Birmingham, Birmingham, UK
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Bi X, Feng L, Wang S, Lin Z, Li T, Zhao B, Zhu H, Zhang H. Common genetic variants have associations with human cortical brain regions and risk of schizophrenia. Genet Epidemiol 2019; 43:548-558. [PMID: 30941828 DOI: 10.1002/gepi.22203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/15/2019] [Accepted: 03/05/2019] [Indexed: 12/13/2022]
Abstract
Schizophrenia is a highly heritable mental disorder and is reported to be associated with measurements in cortical regions of the human brain. In this study, we considered genome-wide association studies to uncover genetic effects on cortical regions and prodromal symptoms of schizophrenia. Specifically, area, thickness, and volume of 66 cortical regions derived from magnetic resonance imaging scans of 1,445 children and adolescents from the Philadelphia Neurodevelopmental Cohort were studied. Two common variants were identified as being associated with two prefrontal cortical regions (one significant variant rs11601331 on chromosome 11p11 for right rostral middle frontal gyral area, p = 1.97 × 10 -8 ; one suggestive variant rs2345981 on chromosome 6q11 for left frontal pole gyral volume, p = 2.07 × 10 -7 ), where the significance of rs11601331 was independently replicated on the Pediatric Imaging, Neurocognition, and Genetics study of size 1,239 (p = 9.19 × 10 -3 ). Moreover, genetic effects on schizophrenia were investigated based on a sample of 8,719 subjects. The two identified variants rs11601331 and rs2345981 showed significant association with the longest prodromal symptoms duration (p = 0.048 and p = 0.027, respectively).
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Affiliation(s)
- Xuan Bi
- Information and Decision Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota
| | - Long Feng
- Department of Biostatistics, Yale University, New Haven, Connecticut
| | - Shiying Wang
- Department of Biostatistics, Yale University, New Haven, Connecticut
| | - Zijie Lin
- Department of Statistics, University of Virginia, Charlottesville, Virginia
| | - Tengfei Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bingxin Zhao
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Heping Zhang
- Department of Biostatistics, Yale University, New Haven, Connecticut
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Yue W, Yu X, Zhang D. Progress in genome-wide association studies of schizophrenia in Han Chinese populations. NPJ SCHIZOPHRENIA 2017; 3:24. [PMID: 28798405 PMCID: PMC5552785 DOI: 10.1038/s41537-017-0029-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 04/29/2017] [Accepted: 05/03/2017] [Indexed: 01/01/2023]
Abstract
Since 2006, genome-wide association studies of schizophrenia have led to the identification of numerous novel risk loci for this disease. However, there remains a geographical imbalance in genome-wide association studies, which to date have primarily focused on Western populations. During the last 6 years, genome-wide association studies in Han Chinese populations have identified both the sharing of susceptible loci across ethnicities and genes unique to Han Chinese populations. Here, we review recent progress in genome-wide association studies of schizophrenia in Han Chinese populations. Researchers have identified and replicated the sharing of susceptible genes, such as within the major histocompatibility complex, microRNA 137 (MIR137), zinc finger protein 804A (ZNF804A), vaccinia related kinase 2 (VRK2), and arsenite methyltransferase (AS3MT), across both European and East Asian populations. Several copy number variations identified in European populations have also been validated in the Han Chinese, including duplications at 16p11.2, 15q11.2-13.1, 7q11.23, and VIPR2 and deletions at 22q11.2, 1q21.1-q21.2, and NRXN1. However, these studies have identified some potential confounding factors, such as genetic heterogeneity and the effects of natural selection on tetraspanin 18 (TSPAN18) or zinc finger protein 323 (ZNF323), which may explain the population differences in genome-wide association studies. In the future, genome-wide association studies in Han Chinese populations should include meta-analyzes or mega-analyses with enlarged sample sizes across populations, deep sequencing, precision medicine treatment, and functional exploration of the risk genes for schizophrenia.
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Affiliation(s)
- Weihua Yue
- Institute of Mental Health, the Sixth Hospital, Peking University, 100191, Beijing, China.
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), 100191, Beijing, China.
| | - Xin Yu
- Institute of Mental Health, the Sixth Hospital, Peking University, 100191, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), 100191, Beijing, China
| | - Dai Zhang
- Institute of Mental Health, the Sixth Hospital, Peking University, 100191, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), 100191, Beijing, China
- Peking-Tsinghua Joint Center for Life Sciences & PKU-IDG/McGovern Institute for Brain Research, Peking University, 100871, Beijing, China
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Simino J, Wang Z, Bressler J, Chouraki V, Yang Q, Younkin SG, Seshadri S, Fornage M, Boerwinkle E, Mosley TH. Whole exome sequence-based association analyses of plasma amyloid-β in African and European Americans; the Atherosclerosis Risk in Communities-Neurocognitive Study. PLoS One 2017; 12:e0180046. [PMID: 28704393 PMCID: PMC5509141 DOI: 10.1371/journal.pone.0180046] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 06/08/2017] [Indexed: 12/30/2022] Open
Abstract
Objective We performed single-variant and gene-based association analyses of plasma amyloid-β (aβ) concentrations using whole exome sequence from 1,414 African and European Americans. Our goal was to identify genes that influence plasma aβ42 concentrations and aβ42:aβ40 ratios in late middle age (mean = 59 years), old age (mean = 77 years), or change over time (mean = 18 years). Methods Plasma aβ measures were linearly regressed onto age, gender, APOE ε4 carrier status, and time elapsed between visits (fold-changes only) separately by race. Following inverse normal transformation of the residuals, seqMeta was used to conduct race-specific single-variant and gene-based association tests while adjusting for population structure. Linear regression models were fit on autosomal variants with minor allele frequencies (MAF)≥1%. T5 burden and Sequence Kernel Association (SKAT) gene-based tests assessed functional variants with MAF≤5%. Cross-race fixed effects meta-analyses were Bonferroni-corrected for the number of variants or genes tested. Results Seven genes were associated with aβ in late middle age or change over time; no associations were identified in old age. Single variants in KLKB1 (rs3733402; p = 4.33x10-10) and F12 (rs1801020; p = 3.89x10-8) were significantly associated with midlife aβ42 levels through cross-race meta-analysis; the KLKB1 variant replicated internally using 1,014 additional participants with exome chip. ITPRIP, PLIN2, and TSPAN18 were associated with the midlife aβ42:aβ40 ratio via the T5 test; TSPAN18 was significant via the cross-race meta-analysis, whereas ITPRIP and PLIN2 were European American-specific. NCOA1 and NT5C3B were associated with the midlife aβ42:aβ40 ratio and the fold-change in aβ42, respectively, via SKAT in African Americans. No associations replicated externally (N = 725). Conclusion We discovered age-dependent genetic effects, established associations between vascular-related genes (KLKB1, F12, PLIN2) and midlife plasma aβ levels, and identified a plausible Alzheimer’s Disease candidate gene (ITPRIP) influencing cell death. Plasma aβ concentrations may have dynamic biological determinants across the lifespan; plasma aβ study designs or analyses must consider age.
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Affiliation(s)
- Jeannette Simino
- Gertrude C. Ford MIND Center, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- * E-mail:
| | - Zhiying Wang
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Vincent Chouraki
- Lille University, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases; Lille, France
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, United States of America
| | - Steven G. Younkin
- Department of Neuroscience, Mayo Clinic College of Medicine, Mayo Clinic Jacksonville, Jacksonville, Florida, United States of America
| | - Sudha Seshadri
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, United States of America
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, Texas, United States of America
- The Brown Foundation Institute of Molecular Medicine, Research Center for Human Genetics, The University of Texas Health Science Center, Houston, Texas, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, Texas, United States of America
- The Brown Foundation Institute of Molecular Medicine, Research Center for Human Genetics, The University of Texas Health Science Center, Houston, Texas, United States of America
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Thomas H. Mosley
- Gertrude C. Ford MIND Center, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
- Department of Medicine, University of Mississippi Medical Center, Jackson, Massachusetts, United States of America
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Association of NKAPL, TSPAN18, and MPC2 gene variants with schizophrenia based on new data and a meta-analysis in Han Chinese. Acta Neuropsychiatr 2017; 29:87-94. [PMID: 27460766 DOI: 10.1017/neu.2016.36] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
BACKGROUND Schizophrenia (SZ) is suggested to be a complex polygenetic disorder with high heritability. Genome-wide association studies have found that the rs1635, rs11038167, and rs10489202 polymorphisms are associated with SZ in Han Chinese. However, results of validation studies are inconsistent. This study aimed to test the association between the NKAPL rs1635, TSPAN18 rs11038167, and MPC2 rs10489202 polymorphisms and SZ in a Chinese population. METHODS This study contained 700 unrelated SZ patients (300 Zhuang and 400 Han) and 700 gender- and age-matched controls (300 Zhuang and 400 Han). The polymorphisms in TSPAN18 (rs11038167), NKAPL (rs1635), and MPC2 (rs10489202) were genotyped using the Sequenom MassARRAY method. Statistical analyses were performed with PLINK program and SPSS l6.0 for Windows. STATA11.1 was used for meta-analysis. RESULTS No statistically significant difference was found in different allele and genotype frequencies of rs1635, rs11038167, and rs10489202 between SZ cases and controls of Zhuang and Han ethnicities and the total samples (all p>0.05). Further meta-analysis suggested that single-nucleotide polymorphism rs10489202 was significantly associated with SZ in a Han Chinese population (p OR=0.002). CONCLUSIONS Our case-control study failed to validate the significant association of NKAPL rs1635, TSPAN18 rs11038167, and MPC2 rs10489202 polymorphisms with SZ susceptibility in the southern Zhuang or Han Chinese population. However, meta-analysis showed a significant association between MPC2 variant rs10489202 and SZ susceptibility in Han Chinese.
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Li J, Huang S, Dai HR, Wang J, Lin LH, Xiao H, Peng X, Li F, Wang YP, Yuan JM, Li L. A promoter polymorphism rs2075824 within IMPA2 gene affecting the transcription activity: possible relationship with schizophrenia. J Cell Mol Med 2016; 21:658-664. [PMID: 27748550 PMCID: PMC5345638 DOI: 10.1111/jcmm.13009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 09/11/2016] [Indexed: 01/24/2023] Open
Abstract
Previous studies with biological and genetic evidence indicate that the myo‐inositol monophosphatase 2 (IMPA2) gene may influence schizophrenia. We performed a genetic association study in Han Chinese cohorts. Five single nucleotide polymorphisms within IMPA2 promoter region (rs971363, rs971362, rs2075824, rs111410794 and rs111610121), as well as one (rs45442994, in intron 1) that was positively associated in another study, were selected for genotyping in 1397 patients with schizophrenia and 1285 mentally healthy controls. Genotype and allele frequencies were assessed by gender stratification. Interestingly, rs2075824 showed a strong association with schizophrenia (P = 4.1 × 10−4), and the T allele was more frequent in cases than controls [P = 5.6 × 10−5, OR (95% CI) = 1.26 (1.13–1.41)]. In vitro promoter assay showed that the transcription activity of the T allele promoter was higher than that of the C allele promoter and the T allele of rs2075824 contributed to risk for schizophrenia. By stratifying males and females, we found a gender‐specific association for IMPA2 and schizophrenia: the T allele of rs2075824 was more frequent in male cases compared with male controls [P = 1.4 × 10−4, OR (95% CI) = 1.33 (1.15–1.55)]. Our data suggest that a promoter polymorphism of IMPA2 possibly contributed to risk for schizophrenia by elevating transcription activity in Han Chinese individuals.
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Affiliation(s)
- Jia Li
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Sheng Huang
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Hui-Rong Dai
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Juan Wang
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Li-Hui Lin
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Hui Xiao
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Xia Peng
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Fei Li
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Yu-Ping Wang
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
| | - Jian-Min Yuan
- Department of Central Laboratory, Wuxi Mental Health Center, Wuxi, Jiangsu, China
| | - Li Li
- Department of Laboratory Medicine, School of Medicine, Shanghai General Hospital, Shanghai JiaoTong University, Shanghai, China
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Common variants on 17q25 and gene-gene interactions conferring risk of schizophrenia in Han Chinese population and regulating gene expressions in human brain. Mol Psychiatry 2016; 21:1244-50. [PMID: 26728569 DOI: 10.1038/mp.2015.204] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Revised: 10/11/2015] [Accepted: 11/05/2015] [Indexed: 11/09/2022]
Abstract
Recently, two genome-wide association studies (GWASs) of schizophrenia (SCZ) in Han Chinese identified several susceptibility loci. Replication efforts aiming to validate the GWAS findings were made and focused on the top hits. We conducted a more extensive follow-up study in an independent sample of 1471 cases and 1528 matched controls to verify 26 genetic variants by including nine top single-nucleotide polymorphisms (SNPs) that reached genome-wide significance and 17 promising SNPs nominated in the initial discovery phase. rs8073471 in an intron of tubulin-folding cofactor D (TBCD) obtained nominal significance (P<0.01) in single SNP analysis. Logistic regression identified significant interaction between rs3744165 (5'-untranslated region variant of exon 2 of zinc finger protein 750 (ZNF750), and in an intron of TBCD) and rs8073471 (Deviance test P-value=2.77 × 10(-34)). Both SNPs are located at 17q25, an interesting region that has been implicated in SCZ. By using the Genotype-Tissue Expression (GTEx) data set, we implemented an expression quantitative trait loci epistasis analysis to explore the association between the genotype combinations of the two SNPs and gene expression levels in 13 areas of human central nervous system. We observed that rs3744165 × rs8073471 interaction modulated the expression profile of TEAD3 (P=1.87 × 10(-8)), SH3TC2 (P=2.00 × 10(-8)), KCNK9 (P=5.20 × 10(-7)) and PPDPF (P=1.13 × 10(-6)) in postmortem cortex tissue; EFNA1 (P=7.26 × 10(-9)), RNU4ATAC (P=2.32 × 10(-8)) and NUPL2 (P=6.79 × 10(-8)) in cerebellum tissue. To the best of our knowledge, our study is the first one that links TBCD and ZNF750 mutations to SCZ susceptibility and to the transcript levels in human brain tissues. Further efforts are needed to understand the role of those variants in the pathogenesis of SCZ.
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Analysis of the association of VIPR2 polymorphisms with susceptibility to schizophrenia. Psychiatry Res 2016; 241:104-7. [PMID: 27156032 DOI: 10.1016/j.psychres.2016.04.084] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 03/28/2016] [Accepted: 04/23/2016] [Indexed: 11/21/2022]
Abstract
In a previous study, we confirmed that copy number variants (CNVs) within the VIPR2 gene in Han Chinese individuals exhibit an increased risk of schizophrenia (SCZ). Herein, we further analyzed the association of eight tagged single nucleotide polymorphisms (tagSNPs) from the HapMap database with SCZ susceptibility. However, we found no significant positive signals in overall association and haplotypes analyses. Interestingly, significant SNP-SNP interaction signals associated with the risk of SCZ were observed using Multifactor Dimensionality Reduction (MDR) analysis. Furthermore, the 'CC' genotype of the VIPR2 gene was nominally associated with an increased risk of SCZ in male patients.
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Qiu J, Moore JH, Darabos C. Studying the Genetics of Complex Disease With Ancestry-Specific Human Phenotype Networks: The Case of Type 2 Diabetes in East Asian Populations. Genet Epidemiol 2016; 40:293-303. [PMID: 27061195 PMCID: PMC5071667 DOI: 10.1002/gepi.21964] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 12/23/2015] [Accepted: 02/04/2016] [Indexed: 12/29/2022]
Abstract
Genome‐wide association studies (GWAS) have led to the discovery of over 200 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes mellitus (T2DM). Additionally, East Asians develop T2DM at a higher rate, younger age, and lower body mass index than their European ancestry counterparts. The reason behind this occurrence remains elusive. With comprehensive searches through the National Human Genome Research Institute (NHGRI) GWAS catalog literature, we compiled a database of 2,800 ancestry‐specific SNPs associated with T2DM and 70 other related traits. Manual data extraction was necessary because the GWAS catalog reports statistics such as odds ratio and P‐value, but does not consistently include ancestry information. Currently, many statistics are derived by combining initial and replication samples from study populations of mixed ancestry. Analysis of all‐inclusive data can be misleading, as not all SNPs are transferable across diverse populations. We used ancestry data to construct ancestry‐specific human phenotype networks (HPN) centered on T2DM. Quantitative and visual analysis of network models reveal the genetic disparities between ancestry groups. Of the 27 phenotypes in the East Asian HPN, six phenotypes were unique to the network, revealing the underlying ancestry‐specific nature of some SNPs associated with T2DM. We studied the relationship between T2DM and five phenotypes unique to the East Asian HPN to generate new interaction hypotheses in a clinical context. The genetic differences found in our ancestry‐specific HPNs suggest different pathways are involved in the pathogenesis of T2DM among different populations. Our study underlines the importance of ancestry in the development of T2DM and its implications in pharmocogenetics and personalized medicine.
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Affiliation(s)
- Jingya Qiu
- Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, United States of America
| | - Jason H Moore
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Christian Darabos
- Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.,Research Computing, Dartmouth College, Hanover, New Hampshire, United States of America
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13
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Xiao X, Li M. Replication of Han Chinese GWAS loci for schizophrenia via meta-analysis of four independent samples. Schizophr Res 2016; 172:75-7. [PMID: 26899211 DOI: 10.1016/j.schres.2016.02.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 02/06/2016] [Accepted: 02/11/2016] [Indexed: 01/14/2023]
Abstract
Schizophrenia is a highly heritable psychiatric disorder with unclear aetiology. Recent genome-wide association studies (GWAS) in European populations have reported numerous susceptibility variants, while GWAS in East Asians also identified several risk loci but with fewer independent replications. Here we focus on nine single nucleotide polymorphisms (SNPs) which have shown genome-wide significant associations with schizophrenia in previous Han Chinese GWAS, and we tend to replicate the associations in four independent samples of East Asian origin including a total of 3977 cases and 5589 controls. The results showed that rs10489202 in MPC2 (BRP44) is significantly associated with schizophrenia in these East Asian replication samples (one-tailed P=5.75×10(-3), OR=1.12), and further meta-analysis after including previous GWAS data yielded a genome-wide significant association (two-tailed P=1.11×10(-10), OR=1.19), adding further support for the involvement of this locus in the genetic risk of schizophrenia, and future studies regarding the underlying molecular mechanisms of the risk association are necessary.
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Affiliation(s)
- Xiao Xiao
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
| | - Ming Li
- Lieber Institute for Brain Development, Johns Hopkins University, Baltimore, MD, United States
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14
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Liu C, Saffen D, Schulze TG, Burmeister M, Sham PC, Yao YG, Kuo PH, Chen C, An Y, Dai J, Yue W, Li MX, Xue H, Su B, Chen L, Shi Y, Qiao M, Liu T, Xia K, Chan RCK. Psychiatric genetics in China: achievements and challenges. Mol Psychiatry 2016; 21:4-9. [PMID: 26481319 PMCID: PMC4830695 DOI: 10.1038/mp.2015.95] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
To coordinate research efforts in psychiatric genetics in China, a group of Chinese and foreign investigators have established an annual “Summit on Chinese Psychiatric Genetics” to present their latest research and discuss the current state and future directions of this field. To date, two Summits have been held, the first in Changsha in April, 2014, and the second in Kunming in April, 2015. The consensus of roundtable discussions held at these meetings is that psychiatric genetics in China is in need of new policies to promote collaborations aimed at creating a framework for genetic research appropriate for the Chinese population: relying solely on Caucasian population-based studies may result in missed opportunities to diagnose and treat psychiatric disorders. In addition, participants agree on the importance of promoting collaborations and data sharing in areas where China has especially strong resources, such as advanced facilities for non-human primate studies and traditional Chinese medicine: areas that may also provide overseas investigators with unique research opportunities. In this paper, we present an overview of the current state of psychiatric genetics research in China, with emphasis on genome-level studies, and describe challenges and opportunities for future advances, particularly at the dawn of “precision medicine.” Together, we call on administrative bodies, funding agencies, the research community, and the public at large for increased support for research on the genetic basis of psychiatric disorders in the Chinese population. In our opinion, increased public awareness and effective collaborative research hold the keys to the future of psychiatric genetics in China.
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Affiliation(s)
- Chunyu Liu
- State Key Laboratory of Medical Genetics of China, Central South University, Changsha, China
- Department of Psychiatry, University of Illinois at Chicago, Chicago, United States of America
| | - David Saffen
- Depatement of Cellular and Genetic Medicine, Fudan University, Shanghai, China
| | - Thomas G Schulze
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August-Universität, Göttingen, Germany
- Institute of Psychiatric Phenomics and Genomics, Ludwig Maximilians-University, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health Mannheim, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany
| | - Margit Burmeister
- Molecular and Behavioral Neuroscience Institute, Departments of Psychiatry, Human Genetics and Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Pak Chung Sham
- Department of Psychiatry, University of Hong Kong, Pokfulam, Hong Kong
| | - Yong-Gang Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Po-Hsiu Kuo
- Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chao Chen
- State Key Laboratory of Medical Genetics of China, Central South University, Changsha, China
| | - Yu An
- Institute of Biomedical Sciences and MOE Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Jiapei Dai
- Wuhan Institute for Neuroscience and Neuroengineering, South-Central University for Nationalities, Wuhan, China
| | - Weihua Yue
- Key Laboratory of Mental Health, Ministry of Health, Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China
| | - Miao Xin Li
- Department of Psychiatry, University of Hong Kong, Pokfulam, Hong Kong
| | - Hong Xue
- Division of Life Science and Applied Genomics Center, The Hong Kong University of Science & Technology, Hong Kong, China
| | - Bing Su
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology and Kunming Primate Research Centre, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Li Chen
- Depatement of Cellular and Genetic Medicine, Fudan University, Shanghai, China
| | - Yongyong Shi
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Mingqi Qiao
- Institute of Traditional Chinese Medicine theory, School of Basic Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Tiebang Liu
- Shenzhen Kang Ning Hospital, No.1080, Cuizhu Street, Luohu District, Shenzhen, Guangdong, 518020, China
| | - Kun Xia
- State Key Laboratory of Medical Genetics of China, Central South University, Changsha, China
- School of Life Sciences, Central South University, Changsha, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences
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15
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New findings support the association of DISC1 genetic variants with susceptibility to schizophrenia in the Han Chinese population. Psychiatry Res 2015; 228:966-8. [PMID: 26162659 DOI: 10.1016/j.psychres.2015.05.115] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Revised: 05/08/2015] [Accepted: 05/28/2015] [Indexed: 11/23/2022]
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Zhou S, Cui M, Yin Z, Li R, Zhu J, Zhou H. Correlation of single nucleotide polymorphisms in the pregnancy-associated plasma protein-A gene with carotid plaques. BMC Cardiovasc Disord 2015; 15:60. [PMID: 26122709 PMCID: PMC4485363 DOI: 10.1186/s12872-015-0041-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2014] [Accepted: 05/22/2015] [Indexed: 01/28/2023] Open
Abstract
Background Pregnancy-associated plasma protein A (PAPP-A) is abundantly expressed in carotid plaques. This study investigated the association between single nucleotide polymorphisms (SNPs) of PAPP-A and the presence of carotid plaques. Methods A total of 408 patients with carotid plaques and 493 controls were included in the study. All subjects were Southern Chinese Han. Carotid plaques were analyzed by computer tomography angiography. PAPP-A SNPs were identified by ligase detection reaction-polymerase chain reaction analysis. The PAPP-A genotypes rs3747823, rs7020782, and rs13290387 were analyzed. Results The rs7020782 C allele genotype correlated with an increased risk of developing carotid plaques under the dominant, recessive, and additive models (adjusted odds ratios: 2.60, 2.36, and 3.48, respectively; P ≤ 0.001). Only C allele-carrying genotypes correlated with a significantly increased risk of carotid plaque based on studies stratified by age and sex under the dominant model. rs7020782 remained significantly associated with the risk of carotid plaque calcification after adjusting for age and potential confounders (adjusted odds ratio, 1.89; 95 % confidence interval, 1.17–3.08; P = 0.010). Conclusions This study found, for the first time, that the A˃C variation of rs7020782 might be an independent risk factor for carotid plaque development and calcification. The determination of such genotypes could provide a new tool for identifying individuals at high risk for carotid atherosclerosis. Electronic supplementary material The online version of this article (doi:10.1186/s12872-015-0041-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shiming Zhou
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Min Cui
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Zegang Yin
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Rui Li
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Jie Zhu
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Huadong Zhou
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
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Lack of Association between the TSPAN18 Gene and Schizophrenia Based on New Data from Han Chinese and a Meta-Analysis. Int J Mol Sci 2015; 16:11864-72. [PMID: 26016498 PMCID: PMC4490419 DOI: 10.3390/ijms160611864] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Revised: 05/18/2015] [Accepted: 05/19/2015] [Indexed: 12/03/2022] Open
Abstract
Tetraspanin-18 (TSPAN18) potentially plays a role in the calcium signaling that is associated with dopamine-induced cortical neuron apoptosis and is considered to be an important mechanism in the pathogenesis of schizophrenia (SCZ). Furthermore, a genome-wide association study (GWAS) identified TSPAN18 as a possible susceptibility gene for SCZ. To validate these findings and reveal the effects of different inheritance models, seven single nucleotide polymorphisms (SNPs) of the TSPAN18 gene were analyzed in 443 patients with SCZ and 628 controls of Han Chinese descent via the SNPscan method. Single SNP, genotype, and association analyses with different models (i.e., additive, dominant, and recessive models) were performed, and the published datasets (2062 cases and 2053 controls) were combined with our results to determine the inheritance effects of the SNPs on SCZ. We observed genotypes and allele distributions of TSPAN18 gene did not show any significant associations in the Han Chinese population based on our experimental and meta-analytical results. Our findings indicate that the TSPAN18 gene is unlikely to be a major susceptibility gene for schizophrenia in Han Chinese.
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18
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Zhang G, Zhang F, Zhu J, Zhang F, Yuan J, Xue Z, Jin C. Association of the angiotensin-converting enzyme gene insertion/deletion polymorphism with schizophrenia: a meta-analysis. Psychiatry Res 2014; 220:1169-71. [PMID: 25262561 DOI: 10.1016/j.psychres.2014.08.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Revised: 07/24/2014] [Accepted: 08/16/2014] [Indexed: 11/15/2022]
Affiliation(s)
- Guofu Zhang
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi 214151, Jiangsu Province, China; Mental Health Institute of The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China
| | - Feng Zhang
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi 214151, Jiangsu Province, China
| | - Jianzhong Zhu
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi 214151, Jiangsu Province, China
| | - Fuquan Zhang
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi 214151, Jiangsu Province, China
| | - Jianmin Yuan
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi 214151, Jiangsu Province, China
| | - Zhimin Xue
- Mental Health Institute of The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan Province, China.
| | - Chunhui Jin
- Wuxi Mental Health Center Affiliated to Nanjing Medical University, Wuxi 214151, Jiangsu Province, China.
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19
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Yuan J, Cheng Z, Zhang F, Zhou Z, Yu S, Jin C. Lack of association between microRNA-137 SNP rs1625579 and schizophrenia in a replication study of Han Chinese. Mol Genet Genomics 2014; 290:297-301. [DOI: 10.1007/s00438-014-0924-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Accepted: 09/15/2014] [Indexed: 12/20/2022]
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20
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Luo X, Zhu J, Cheng Z, Zhang F, Zhang G, Yuan J, Jin C. Lack of association of a genetic variant in the long intergenic noncoding RNA (linc01080) with Alzheimer's disease and amnestic mild cognitive impairment in Han Chinese. Int J Neurosci 2014; 125:419-23. [DOI: 10.3109/00207454.2014.944616] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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21
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Jin C, Zhang L, Xian Y, Liu X, Wu Y, Zhang F, Zhu J, Zhang G, Chen C, Gong R, Zhang L, Yuan J, Zhang F, Tian L, Wang G, Cheng Z. The SORL1 polymorphism rs985421 may confer the risk for amnestic mild cognitive impairment and Alzheimer's disease in the Han Chinese population. Neurosci Lett 2014; 563:80-4. [PMID: 24486888 DOI: 10.1016/j.neulet.2014.01.029] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2013] [Revised: 01/14/2014] [Accepted: 01/21/2014] [Indexed: 12/31/2022]
Abstract
Although the pathogenetic mechanisms driving Alzheimer's disease (AD) are unclear, genetic variations may play an important role. Previous studies have identified that single nucleotide polymorphisms (SNPs) in the sortilin-related receptor, L (DLR class) A repeats containing (SORL1) gene are associated with AD or amnestic mild cognitive impairment (aMCI) patients. However, the association of SORL1 variants with AD or aMCI susceptibility in the Han Chinese population has not been adequately reported. Thus, we conducted a case-control study in 106 sporadic AD patients, 67 aMCI patients, and 179 healthy control Han Chinese subjects to determine whether SORL1 genetic variations alter the risk for AD or aMCI. Using the LDR-PCR method to genotype five polymorphisms in SORL1, we found significant associations (for AD: OR=1.968, 95% CI=1.273-3.042; for aMCI: OR=2.210, 95% CI=1.353-3.610) between the 'A' allele of the SORL1 SNP rs985421 and AD and aMCI, which may represent an ApoE ɛ4-independent risk factor for SAD. These findings suggest that the SORL1 SNP rs985421 may alter the risk for sporadic AD and aMCI in the Han Chinese population.
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Affiliation(s)
- Chunhui Jin
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China.
| | - Lili Zhang
- Nanjing Zutangshan Social Welfare Hospital, Nanjing, 211153, Jiangsu, China
| | - Yiping Xian
- Yangzhou Wutaishan Hospital, Yangzhou 225003, Jiangsu China
| | - Xiaowei Liu
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Yue Wu
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Feng Zhang
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Jianzhong Zhu
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Guofu Zhang
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Caixia Chen
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Ronglan Gong
- Nanjing Zutangshan Social Welfare Hospital, Nanjing, 211153, Jiangsu, China
| | - Lingyun Zhang
- Nanjing Zutangshan Social Welfare Hospital, Nanjing, 211153, Jiangsu, China
| | - Jianmin Yuan
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Fuquan Zhang
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Lin Tian
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Guoqiang Wang
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Zaohuo Cheng
- Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, Jiangsu, China.
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