1
|
Yu Y, Fu Y, Yu Y, Tang M, Sun Y, Wang Y, Zhang K, Li H, Guo H, Wang B, Wang N, Lu Y. Investigating the shared genetic architecture between schizophrenia and body mass index. Mol Psychiatry 2023; 28:2312-2319. [PMID: 37202504 DOI: 10.1038/s41380-023-02104-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/20/2023]
Abstract
Evidence for reciprocal comorbidity of schizophrenia (SCZ) and body mass index (BMI) has grown in recent years. However, little is known regarding the shared genetic architecture or causality underlying the phenotypic association between SCZ and BMI. Leveraging summary statistics from the hitherto largest genome-wide association study (GWAS) on each trait, we investigated the genetic overlap and causal associations of SCZ with BMI. Our study demonstrated a genetic correlation between SCZ and BMI, and the correlation was more evident in local genomic regions. The cross-trait meta-analysis identified 27 significant SNPs shared between SCZ and BMI, most of which had the same direction of influence on both diseases. Mendelian randomization analysis showed the causal association of SCZ with BMI, but not vice versa. Combining the gene expression information, we found that the genetic correlation between SCZ and BMI is enriched in six regions of brain, led by the brain frontal cortex. Additionally, 34 functional genes and 18 specific cell types were found to have an impact on both SCZ and BMI within these regions. Taken together, our comprehensive genome-wide cross-trait analysis suggests a shared genetic basis including pleiotropic loci, tissue enrichment, and shared function genes between SCZ and BMI. This work provides novel insights into the intrinsic genetic overlap of SCZ and BMI, and highlights new opportunities and avenues for future investigation.
Collapse
Affiliation(s)
- Yuefeng Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yanqi Fu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yuetian Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Mengjun Tang
- The 967th Hospital of Joint Logistic Support Force of PLA, Dalian, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yuying Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Kun Zhang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Huixia Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Hui Guo
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
| |
Collapse
|
2
|
Zhang QX, Zhao DBJ, Gu RY, Zhao XH, Zhao HX, Valenzuela RK, Xi MM, Zhang R, Ma J. Study of a functional SNP rs13423388 in a novel enhancer element of schizophrenia-associated ZNF804A. Asian J Psychiatr 2022; 74:103191. [PMID: 35728455 DOI: 10.1016/j.ajp.2022.103191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/09/2022] [Accepted: 06/13/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Qiao-Xia Zhang
- Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China
| | - Dong-Bu-Jia Zhao
- Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China
| | - Rui-Ying Gu
- Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China
| | - Xiu-Hua Zhao
- Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China
| | - Hua-Xiang Zhao
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
| | - Robert K Valenzuela
- Center for Precision Medicine Research, Marshfield Clinic, Marshfield, WI 54449, USA
| | - Miao-Miao Xi
- Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China
| | - Rui Zhang
- Translational Medicine Center, Hong Hui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, China.
| | - Jie Ma
- Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China; Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China.
| |
Collapse
|
3
|
Nakahara S, Stark CE, Turner JA, Calhoun VD, Lim KO, Mueller B, Bustillo JR, O’Leary DS, McEwen S, Voyvodic J, Belger A, Mathalon DH, Ford JM, Macciardi F, Matsumoto M, Potkin SG, van Erp TG. Dentate gyrus volume deficit in schizophrenia. Psychol Med 2020; 50:1267-1277. [PMID: 31155012 PMCID: PMC7068799 DOI: 10.1017/s0033291719001144] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Schizophrenia is associated with robust hippocampal volume deficits but subregion volume deficits, their associations with cognition, and contributing genes remain to be determined. METHODS Hippocampal formation (HF) subregion volumes were obtained using FreeSurfer 6.0 from individuals with schizophrenia (n = 176, mean age ± s.d. = 39.0 ± 11.5, 132 males) and healthy volunteers (n = 173, mean age ± s.d. = 37.6 ± 11.3, 123 males) with similar mean age, gender, handedness, and race distributions. Relationships between the HF subregion volume with the largest between group difference, neuropsychological performance, and single-nucleotide polymorphisms were assessed. RESULTS This study found a significant group by region interaction on hippocampal subregion volumes. Compared to healthy volunteers, individuals with schizophrenia had significantly smaller dentate gyrus (DG) (Cohen's d = -0.57), Cornu Ammonis (CA) 4, molecular layer of the hippocampus, hippocampal tail, and CA 1 volumes, when statistically controlling for intracranial volume; DG (d = -0.43) and CA 4 volumes remained significantly smaller when statistically controlling for mean hippocampal volume. DG volume showed the largest between group difference and significant positive associations with visual memory and speed of processing in the overall sample. Genome-wide association analysis with DG volume as the quantitative phenotype identified rs56055643 (β = 10.8, p < 5 × 10-8, 95% CI 7.0-14.5) on chromosome 3 in high linkage disequilibrium with MOBP. Gene-based analyses identified associations between SLC25A38 and RPSA and DG volume. CONCLUSIONS This study suggests that DG dysfunction is fundamentally involved in schizophrenia pathophysiology, that it may contribute to cognitive abnormalities in schizophrenia, and that underlying biological mechanisms may involve contributions from MOBP, SLC25A38, and RPSA.
Collapse
Affiliation(s)
- Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
- Unit 2, Candidate Discovery Science Labs, Drug Discovery Research, Astellas Pharma Inc, 21, Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Craig E.L. Stark
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, 92697, United States
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, 92697, United States
| | - Jessica A. Turner
- Departments of Psychology and Neuroscience, Georgia State University, Atlanta, GA, 30302, United States
- Mind Research Network, Albuquerque, NM, 87106, United States
| | - Vince D. Calhoun
- Mind Research Network, Albuquerque, NM, 87106, United States
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, United States
- Departments of Psychiatry & Neuroscience, University of New Mexico, Albuquerque, NM, 87131, United States
| | - Kelvin O. Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, 55454, United States
| | - Bryon Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, 55454, United States
| | - Juan R. Bustillo
- Departments of Psychiatry & Neuroscience, University of New Mexico, Albuquerque, NM, 87131, United States
| | - Daniel S. O’Leary
- Department of Psychiatry, University of Iowa, Iowa City, IA, 52242, United States
| | - Sarah McEwen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, 92093, United States
| | - James Voyvodic
- Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, 27710, United States
| | - Aysenil Belger
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States
| | - Daniel H. Mathalon
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, United States
- Veterans Affairs San Francisco Healthcare System, San Francisco, CA, 94121, United States
| | - Judith M. Ford
- Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, 94143, United States
- Veterans Affairs San Francisco Healthcare System, San Francisco, CA, 94121, United States
| | - Fabio Macciardi
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Mitsuyuki Matsumoto
- Unit 2, Candidate Discovery Science Labs, Drug Discovery Research, Astellas Pharma Inc, 21, Miyukigaoka, Tsukuba, Ibaraki 305-8585, Japan
| | - Steven G. Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
| | - Theo G.M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, 92617, United States
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, 92697, United States
| |
Collapse
|
4
|
Interactome analysis reveals ZNF804A, a schizophrenia risk gene, as a novel component of protein translational machinery critical for embryonic neurodevelopment. Mol Psychiatry 2018; 23:952-962. [PMID: 28924186 PMCID: PMC5868632 DOI: 10.1038/mp.2017.166] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 06/08/2017] [Accepted: 06/12/2017] [Indexed: 12/15/2022]
Abstract
Recent genome-wide association studies identified over 100 genetic loci that significantly associate with schizophrenia (SZ). A top candidate gene, ZNF804A, was robustly replicated in different populations. However, its neural functions are largely unknown. Here we show in mouse that ZFP804A, the homolog of ZNF804A, is required for normal progenitor proliferation and neuronal migration. Using a yeast two-hybrid genome-wide screen, we identified novel interacting proteins of ZNF804A. Rather than transcriptional factors, genes involved in mRNA translation are highly represented in our interactome result. ZNF804A co-fractionates with translational machinery and modulates the translational efficiency as well as the mTOR pathway. The ribosomal protein RPSA interacts with ZNF804A and rescues the migration and translational defects caused by ZNF804A knockdown. RNA immunoprecipitation-RNAseq (RIP-Seq) identified transcripts bound to ZFP804A. Consistently, ZFP804A associates with many short transcripts involved in translational and mitochondrial regulation. Moreover, among the transcripts associated with ZFP804A, a SZ risk gene, neurogranin (NRGN), is one of ZFP804A targets. Interestingly, downregulation of ZFP804A decreases NRGN expression and overexpression of NRGN can ameliorate ZFP804A-mediated migration defect. To verify the downstream targets of ZNF804A, a Duolink in situ interaction assay confirmed genes from our RIP-Seq data as the ZNF804A targets. Thus, our work uncovered a novel mechanistic link of a SZ risk gene to neurodevelopment and translational control. The interactome-driven approach here is an effective way for translating genome-wide association findings into novel biological insights of human diseases.
Collapse
|
5
|
Baek JH, Ha K, Kim Y, Yang SY, Cho EY, Choi Y, Ryu S, Lee YS, Park T, Hong KS. Association between the zinc finger protein 804A (ZNF804A) gene and the risk of schizophrenia and bipolar I disorder across diagnostic boundaries. Bipolar Disord 2017; 19:305-313. [PMID: 28544350 DOI: 10.1111/bdi.12493] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 04/01/2017] [Indexed: 12/22/2022]
Abstract
OBJECTIVES In this study, we aimed to determine the role of genetic variations within the zinc finger protein 804A (ZNF804A) gene, a candidate for a psychosis risk-conferring gene, in the development of schizophrenia (SZ) and bipolar disorder (BP) in the Korean population. METHODS A total of 921 patients with SZ, bipolar I (BP-I) and II (BP-II) disorder, and 502 control subjects participated in the study. Twenty-one tag single nucleotide polymorphisms (SNPs) across the genomic region of ZNF804A and seven reference SNPs based on previous reports were genotyped. We applied logistic regression analyses under additive, dominant and recessive models. RESULTS Fifteen of the 28 SNPs showed a nominally significant association with at least one diagnostic group. However, none of these associations remained significant after false discovery rate (FDR) correction. As the trend of association was observed mostly in SZ and BP-I with similar patterns, we performed a post hoc analysis for the combined SZ and BP-I group. Five SNPs (rs2369595, rs6755404, rs10931156, rs12476147 and rs1366842) showed a significant association with an FDR-corrected P of <.05. CONCLUSIONS This study supports a possible role of ZNF804A in the common susceptibility of major psychoses, and identified additional candidate variants of the gene in the Korean population.
Collapse
Affiliation(s)
- Ji Hyun Baek
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
| | - Kyooseob Ha
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
| | - Yongkang Kim
- Department of Statistics, Seoul National University, Seoul, Korea
| | - So Yung Yang
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
| | - Eun-Young Cho
- Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Korea
| | - Yujin Choi
- Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Korea
| | - Seunghyong Ryu
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
| | | | - Taesung Park
- Department of Statistics, Seoul National University, Seoul, Korea
| | - Kyung Sue Hong
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Korea
| |
Collapse
|
6
|
Crisafulli C, Drago A, Calabrò M, Spina E, Serretti A. A molecular pathway analysis informs the genetic background at risk for schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2015; 59:21-30. [PMID: 25554435 DOI: 10.1016/j.pnpbp.2014.12.009] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Revised: 12/22/2014] [Accepted: 12/23/2014] [Indexed: 01/01/2023]
Abstract
BACKGROUND Schizophrenia is a complex mental disorder marked by severely impaired thinking, delusional thoughts, hallucinations and poor emotional responsiveness. The biological mechanisms that lead to schizophrenia may be related to the genetic background of patients. Thus, a genetic perspective may help to unravel the molecular pathways disrupted in schizophrenia. METHODS In the present work, we used a molecular pathway analysis to identify the molecular pathways associated with schizophrenia. We collected data of genetic loci previously associated with schizophrenia, identified the genes located in those positions and created the metabolic pathways that are related to those genes' products. These pathways were tested for enrichment (a number of SNPs associated with the phenotype significantly higher than expected by chance) in a sample of schizophrenic patients and controls (4486 and 4477, respectively). RESULTS The molecular pathway that resulted from the identification of all the genes located in the loci previously found to be associated with schizophrenia was found to be enriched, as expected (permutated p(10(6))=9.9999e-06).We found 60 SNPs amongst 30 different genes with a strong association with schizophrenia. The genes are related to the pathways related to neurodevelopment, apoptosis, vesicle traffic, immune response and MAPK cascade. CONCLUSIONS The pathway related to the toll-like receptor family seemed to play a central role in the modulation/connection of various pathways whose disruption leads to schizophrenia. This pathway is related to the innate immune system, further stressing the role of immunological-related events in increasing the risk to schizophrenia.
Collapse
Affiliation(s)
- Concetta Crisafulli
- Department of Biomedical Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Antonio Drago
- Department of Biomedical and Neuromotor Sciences - DIBINEM, University of Bologna, Bologna, Italy; I.R.C.C.S. "San Giovanni di Dio", Fatebenefratelli, Brescia, Italy.
| | - Marco Calabrò
- Department of Biomedical Science and Morphological and Functional Images, University of Messina, Messina, Italy; Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy; IRCCS Centro Neurolesi "Bonino-Pulejo", Messina, Italy
| | - Edoardo Spina
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences - DIBINEM, University of Bologna, Bologna, Italy
| |
Collapse
|
7
|
Sun Y, Hu D, Liang J, Bao YP, Meng SQ, Lu L, Shi J. Association between variants of zinc finger genes and psychiatric disorders: systematic review and meta-analysis. Schizophr Res 2015; 162:124-37. [PMID: 25667193 DOI: 10.1016/j.schres.2015.01.036] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Revised: 01/20/2015] [Accepted: 01/21/2015] [Indexed: 12/21/2022]
Abstract
Psychiatric disorders have a negative impact on society and human lives. Genetic factors are involved in the occurrence and development of psychiatric diseases. ZNF804A has been identified as one of the most compelling risk genes associated with broad phenotypes related to psychosis. We conducted a systematic meta-analysis and reviewed ZNF804A variants in psychosis-related disorders, including schizophrenia, bipolar disorder, and attention-deficit hyperactivity disorder. We also summarized the association between other zinc finger protein genes (ZNFs) and psychiatric diseases. The meta-analysis included a total of six variants of ZNF804A and three variants of other ZNFs (ZDHHC8 and ZKSCAN4), and the effects of ZNF variants on neurocognition and neuroimaging phenotypes were reviewed. The biological functions of these variants are also presented. We verified that ZNF804A was significantly related to psychiatric diseases, and the association between ZNF804A rs1344706 and psychosis (schizophrenia and bipolar disorder) did not vary with disease or ethnicity. The main brain area regulated by ZNF804A rs1344706 was the dorsolateral prefrontal cortex. The effect of ZNF804A variants on cognition did not display consistency with different diseases or methodologies. These findings suggest that ZNF804A might play an important role in common pathogenesis of psychiatric diseases, and its variants are likely involved in regulating the expression of psychosis-related genes, especially the dopamine pathway genes. Further research should focus on the molecular mechanisms by which ZNF804A variants act in psychiatric diseases and related phenotypes.
Collapse
Affiliation(s)
- Yan Sun
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Die Hu
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Jie Liang
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Shi-Qiu Meng
- National Institute on Drug Dependence, Beijing 100191, China; Institute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Beijing 100191, China; Institute of Mental Health/Peking University Sixth Hospital and Key Laboratory of Mental Health, Peking University, Beijing 100191, China; Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China
| | - Jie Shi
- National Institute on Drug Dependence, Beijing 100191, China; Beijing Key Laboratory on Drug Dependence Research, Beijing 100191, China; The State Key Laboratory of Natural and Biomimetic Drugs, Beijing 100191, China; Key Laboratory for Neuroscience of the Ministry of Education and the Ministry of Public Health, Beijing 100191, China.
| |
Collapse
|
8
|
Analysis of schizophrenia-related genes and electrophysiological measures reveals ZNF804A association with amplitude of P300b elicited by novel sounds. Transl Psychiatry 2014; 4:e346. [PMID: 24424392 PMCID: PMC3905227 DOI: 10.1038/tp.2013.117] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Revised: 10/30/2013] [Accepted: 11/03/2013] [Indexed: 12/20/2022] Open
Abstract
Several genes have recently been identified as risk factors for schizophrenia (SZ) by genome-wide association studies (GWAS), including ZNF804A which is thought to function in transcriptional regulation. However, the downstream pathophysiological changes that these genes confer remain to be elucidated. In 143 subjects (68 clinical high risk, first episode or chronic cases; 75 controls), we examined the association between 21 genetic markers previously identified by SZ GWAS or associated with putative intermediate phenotypes of SZ against three event-related potential (ERP) measures: mismatch negativity (MMN), amplitude of P300 during an auditory oddball task, and P300 amplitude during an auditory novelty oddball task. Controlling for age and sex, significant genetic association surpassing Bonferroni correction was detected between ZNF804A marker rs1344706 and P300 amplitude elicited by novel sounds (beta=4.38, P=1.03 × 10(-4)), which is thought to index orienting of attention to unexpected, salient stimuli. Subsequent analyses revealed that the association was driven by the control subjects (beta=6.35, P=9.08 × 10(-5)), and that the risk allele was correlated with higher novel P300b amplitude, in contrast to the significantly lower amplitude observed in cases compared to controls. Novel P300b amplitude was significantly correlated with a neurocognitive measure of auditory attention under interference conditions, suggesting a relationship between novel P300b amplitude and higher-order attentional processes. Our results suggest pleiotropic effects of ZNF804A on risk for SZ and neural mechanisms that are indexed by the novel P300b ERP component.
Collapse
|
9
|
Zhang R, Yan JD, Valenzuela RK, Lu SM, Du XY, Zhong B, Ren J, Zhao SH, Gao CG, Wang L, Guo TW, Ma J. Further evidence for the association of genetic variants of ZNF804A with schizophrenia and a meta-analysis for genome-wide significance variant rs1344706. Schizophr Res 2012; 141:40-7. [PMID: 22871346 DOI: 10.1016/j.schres.2012.07.013] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2012] [Revised: 06/19/2012] [Accepted: 07/12/2012] [Indexed: 12/17/2022]
Abstract
Recent accumulating evidence has indicated that ZNF804A (zinc finger protein 804A) may be one of the most robustly implicated genes in schizophrenia. In this report, we examined ZNF804A single nucleotide polymorphisms (SNPs) encompassing exon 4 by performing an association study that used a Han Chinese sample comprised of 492 schizophrenia patients and 516 healthy control subjects. A meta-analysis based on previous studies was also performed. For markers rs4667000 and rs1366842, significant differences in allele frequencies were found between cases and controls (Mantel-Haenszel corrected P=0.014 and P=0.025, respectively). Analysis of haplotype rs61739290-rs1366842 showed significant association with schizophrenia (global P=0.0018). Moreover, several other two-, three-, and four-SNP tests of haplotype association were also significant. A meta-analysis comprised of studies that utilized sample sets of either European and/or Han Chinese origin revealed statistically significant associations for two SNPs (rs1366842, P=0.002; and rs3731834, P=0.03) and schizophrenia. In addition, we observed a significant association between marker rsl344706 and schizophrenia (P<1.0×10(-5)) in combined populations. When we separately analyzed the studies by population, consistent and significant differences were found between cases and controls both in the European samples (P<1.0×10(-4)) and in the Chinese samples (P=0.03). In summary, we have added new evidence supporting the association between ZNF804A and schizophrenia in our Han Chinese sample. Further functional exploration of ZNF804A will greatly help us to elucidate the pathogenesis of schizophrenia and find promising new approaches for the treatment of this disorder.
Collapse
Affiliation(s)
- Rui Zhang
- Department of Genetics and Molecular Biology, Xi'an Jiaotong University School of Medicine, Xi'an, Shaanxi 710061, PR China
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Zaharie A, Ergul E, Ozel MD, Miclutia IV, Stanculete MF, Sazci A. ZNF804A rs1344706 variant and schizophrenia in a Romanian population from Cluj Napoca. Genet Test Mol Biomarkers 2012; 16:1135-7. [PMID: 22775511 DOI: 10.1089/gtmb.2012.0066] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The ZNF804A rs1344706 variant was the first risk factor to be identified through genome-wide association studies and follow-up studies with meta-analysis for schizophrenia as well as bipolar disorders; we investigated 231 schizophrenia and 222 controls to see whether this particular variant was associated with schizophrenia in a Romanian population from Cluj Napoca. Clearly, there was no association between the ZNF804A rs1344706 variant and schizophrenia. Our study provides evidence for those that found no association with schizophrenia. A surprising result of our study was that the T allele frequency is the highest, thus far among the ethnic groups studied. We used a PCR-RFLP method that had been recently developed in our laboratory to the genotype ZNF804A rs1344706 variant. In conclusion, the ZNF804A rs1344706 variant was not associated with schizophrenia in the Romanian population from Cluj Napoca (χ(2)=0.734, p=0.693).
Collapse
Affiliation(s)
- Andreea Zaharie
- Department of Psychiatry, University of Medicine and Pharmacy Iuliu Hatieganu Cluj, Cluj Napoca, Romania
| | | | | | | | | | | |
Collapse
|
11
|
Girgenti MJ, LoTurco JJ, Maher BJ. ZNF804a regulates expression of the schizophrenia-associated genes PRSS16, COMT, PDE4B, and DRD2. PLoS One 2012; 7:e32404. [PMID: 22384243 PMCID: PMC3288100 DOI: 10.1371/journal.pone.0032404] [Citation(s) in RCA: 81] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2011] [Accepted: 01/30/2012] [Indexed: 11/19/2022] Open
Abstract
ZNF804a was identified by a genome-wide association study (GWAS) in which a single nucleotide polymorphism (SNP rs1344706) in ZNF804a reached genome-wide statistical significance for association with a combined diagnosis of schizophrenia (SZ) and bipolar disorder. Although the molecular function of ZNF804a is unknown, the amino acid sequence is predicted to contain a C2H2-type zinc-finger domain and suggests ZNF804a plays a role in DNA binding and transcription. Here, we confirm that ZNF804a directly contributes to transcriptional control by regulating the expression of several SZ associated genes and directly interacts with chromatin proximal to the promoter regions of PRSS16 and COMT, the two genes we find upregulated by ZNF804a. Using immunochemistry we establish that ZNF804a is localized to the nucleus of rat neural progenitor cells in culture and in vivo. We demonstrate that expression of ZNF804a results in a significant increase in transcript levels of PRSS16 and COMT, relative to GFP transfected controls, and a statistically significant decrease in transcript levels of PDE4B and DRD2. Furthermore, we show using chromatin immunoprecipitation assays (ChIP) that both epitope-tagged and endogenous ZNF804a directly interacts with the promoter regions of PRSS16 and COMT, suggesting a direct upregulation of transcription by ZNF804a on the expression of these genes. These results are the first to confirm that ZNF804a regulates transcription levels of four SZ associated genes, and binds to chromatin proximal to promoters of two SZ genes. These results suggest a model where ZNF804a may modulate a transcriptional network of SZ associated genes.
Collapse
Affiliation(s)
- Matthew J. Girgenti
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut, United States of America
| | - Joseph J. LoTurco
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut, United States of America
| | - Brady J. Maher
- Department of Physiology and Neurobiology, University of Connecticut, Storrs, Connecticut, United States of America
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, Maryland, United States of America
- * E-mail:
| |
Collapse
|