Literature DB >> 24416398

Role of the DLGAP2 gene encoding the SAP90/PSD-95-associated protein 2 in schizophrenia.

Jun-Ming Li1, Chao-Lin Lu2, Min-Chih Cheng3, Sy-Ueng Luu1, Shih-Hsin Hsu3, Tsung-Ming Hu3, Hsin-Yao Tsai3, Chia-Hsiang Chen4.   

Abstract

Aberrant synaptic dysfunction is implicated in the pathogenesis of schizophrenia. The DLGAP2 gene encoding the SAP90/PSD-95-associated protein 2 (SAPAP2) located at the post-synaptic density of neuronal cells is involved in the neuronal synaptic function. This study aimed to investigate whether the DLGAP2 gene is associated with schizophrenia. We resequenced the putative promoter region and all the exons of the DLGAP2 gene in 523 patients with schizophrenia and 596 non-psychotic controls from Taiwan and conducted a case-control association analysis. We identified 19 known SNPs in this sample. Association analysis of 9 SNPs with minor allele frequency greater than 5% showed no association with schizophrenia. However, we found a haplotype (CCACCAACT) significantly associated with schizophrenia (odds ratio:2.5, p<0.001). We also detected 16 missense mutations and 1 amino acid-insertion mutation in this sample. Bioinformatic analysis showed some of these mutations were damaging or pathological to the protein function, but we did not find increased burden of these mutations in the patient group. Notably, we identified 5 private rare variants in 5 unrelated patients, respectively, including c.-69+9C>T, c.-69+13C>T, c.-69+47C>T, c.-69+55C>T at intron 1 and c.-32A>G at untranslated exon 2 of the DLGAP2 gene. These rare variants were not detected in 559 control subjects. Further reporter gene assay of these rare variants except c.-69+13C>T showed significantly elevated promoter activity than the wild type, suggesting increased DLGAP2 gene expression may contribute to the pathogenesis of schizophrenia. Our results indicate that DLGAP2 is a susceptible gene of schizophrenia.

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Year:  2014        PMID: 24416398      PMCID: PMC3885712          DOI: 10.1371/journal.pone.0085373

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Schizophrenia is a common and often debilitating mental disorder characterized by hallucination, delusion, bizarre thinking that affects approximately 1% of the general population worldwide. Genetic epidemiological studies from family, twin and adoption studies support a strong genetic component in the etiology of schizophrenia, and the involvement of multiple genes [1], [2], [3]. As far as the pathogenesis of schizophrenia is concerned, increasing evidence demonstrates that aberrant synaptogenesis and synaptic dysfunction play an important role in the pathophysiology of schizophrenia, thus genes involved in the structural and functional integrity of synapse are considered as potential candidate genes of schizophrenia [4], [5], [6], [7]. SAP90/PSD95-associated proteins (SAPAPs) constitute a part of the N-methyl D-aspartate receptor (NMDAR)-associated postsynaptic density proteins, and are involved in the stabilization of synaptic junction and regulation of neurotransmission [8]. The DLGAP gene family, encoding isoforms of SAPAP protein, comprises 4 members, including DLGAP1, 2, 3, and 4. Recently, several studies have demonstrated that the DLGAP gene family is involved the pathophysiology of various psychiatric disorders. For example, serial studies supported that the DLGAP3 gene is a promising functional candidate for Tourette syndrome and obsessive compulsive disorder [9], [10], [11], [12]. Pinto et al. discovered the DLGAP2 gene as a novel gene associated with autism spectrum disorders [13]. Recently, our team has identified a private rare mutation (c.1922A>G) of the DLGAP1 gene, which changes lysine to arginine at codon 641 (K641R) in one out of 121 schizophrenia, but not in 275 non-psychotic control subjects [14]. In addition, we resequenced the exonic regions of the DLGAP3 gene in 215 schizophrenic patients and 215 non-psychotic controls. We identified several rare missense mutations in the DLGAP3 gene and some of them might be associated with the pathogenesis of schizophrenia [15]. Thus, our serial genetic studies of schizophrenia lend support to a hypothesis that schizophrenia specific rare variants in DLGAP gene family may be involved the genetic pathophysiology of schizophrenia. The DLGAP2 gene that encodes the SAPAP2 protein also plays a role in the molecular organization of synapses and in neuronal cell signaling [16]. Furthermore, the DLGAP2 was located on chromosome 8p23, which is a region linked to schizophrenia [17], [18]. This study aimed to examine whether the DLGAP2 gene is also associated with schizophrenia. To address to this issue, we conducted a deep resequencing study of putative promoter region and all the exons of the DLGAP2 gene in a sample of schizophrenia and non-psychiatric controls from Taiwan, and characterized the function of variants of the DLGAP2 gene identified from patients in this study.

Results

We totally identified 58 genetic variants of the DLGAP2 gene in this sample, including 19 known SNPs and 39 rare mutations (minor allele frequency <5%). The locations of these variants are shown in Figure 1A. Nine known SNPs (rs6996621, rs2906568, rs2906569, rs60089073, rs2301963, rs6995760, rs2235112, rs2235113, and rs2293909) with the minor allele frequencies (MAF) above 5% were selected for genetic association analysis. The genotype and allele frequencies of these 9 SNPs are listed in Table 1. A nominal association of 4 SNPs (rs2906568, rs2906569, rs2301963 and rs2293909) with schizophrenia was detected; however, this association did not endure after correction for multiple testing. Linkage disequilibrium (LD) analysis of these 9 SNPs showed strong LD among rs6996621, rs2906568, rs2906569, and rs60089073 (Figure 2). Further haplotype-based association analysis derived from these 9 SNPs showed a significant difference in the haplotype distribution of CCACCAACC, CCACCAACT, and CGGCAAACT between the schizophrenic patients and controls, but only haplotype CCACCAACT remained significantly associated with schizophrenia after Monte Carlo permutation test (odds ratio = 2.5, p<0.001) (Table 2).
Figure 1

Genetic variants of the DLGAP2 gene identified in this study.

(A) Schematic genomic structure of the DLGAP2 gene and locations of molecular variants analyzed in this study. The black box indicates the protein-coding region; the white box indicates the untranslated region. Variants represented in red were specific to schizophrenia and in green were specific to the controls. (B) Sequence electropherograms of five private rare variants (c.−69+9C>T, c.−69+13C>T, c.−69+47C>T, c.−69+55C>T and c.−32A>G) at the intron 1 and untranslated exon 2 of the DLGAP2 gene.

Table 1

Genotype and allele frequencies of molecular variants of the DLGAP2 gene in patients with schizophrenia and controls.

VariantDiagnosisNGenotypepAllelep
rs6996621C/CC/AA/A0.327CA0.747
c.−68−61C>ASchizophrenia503421(83.7%)78(15.5%)4(0.8%)920(91.5%)86(8.5%)
Control559469(83.9%)80(14.3%)10(1.8%)1018(91.1%)100(8.9%)
rs2906568C/CC/GG/G0.043CG0.109
c.−68−25C>GSchizophrenia506183(36.2%)239(47.2%)84(16.6%)605(59.8%)407(40.2%)
Control559197(35.2%)236(42.2%)126(22.5%)630(56.4%)488(43.6%)
rs2906569A/AA/GG/G0.024AG0.025
c.−68−4A>GSchizophrenia506211(41.7%)227(44.9%)68(13.4%)649(64.1%)363(35.9%)
Control559215(38.5%)234(41.9%)110(19.7%)664(59.4%)454(40.6%)
rs60089073C/CC/TT/T0.479CT0.698
p.H53 = Schizophrenia506437(86.4%)62(12.3%)7(1.4%)936(92.5%)76(7.5%)
Control559483(86.4%)63(11.3%)13(2.3%)1029(92.0%)89(8.0%)
rs2301963C/CC/AA/A0.042CA0.038
p.P384QSchizophrenia510154(30.2%)259(50.8%)97(19.0%)567(55.6%)453(44.4%)
Control596140(23.5%)330(55.4%)126(21.1%)610(51.2%)582(48.8%)
rs6995760A/AA/GG/G0.381AG0.703
c.1570+14A>GSchizophrenia508354(69.7%)131(25.8%)23(4.5%)839(82.6%)177(17.4%)
Control533370(69.4%)147(27.6%)16(3.0%)887(83.2%)179(16.8%)
rs2235112A/AA/GG/G0.517AG0.271
p.E598 = Schizophrenia52374(14.1%)255(48.8%)194(37.1%)403(38.5%)643(61.5%)
Control51466(12.8%)240(46.7%)208(40.5%)372(36.2%)656(63.8%)
rs2235113C/CC/GG/G0.917CG0.789
c.1920+19C>GSchizophrenia512127(24.8%)250(48.8%)135(26.4%)504(49.2%)520(50.8%)
Control510121(23.7%)254(49.8%)135(26.5%)496(48.6%)524(51.4%)
rs2293909T/TT/CC/C0.057TC0.021
c.2709+71T>CSchizophrenia507264(52.1%)211(41.6%)32(6.3%)739(72.9%)275(27.1%)
Control575265(46.1%)256(44.5%)54(9.4%)786(68.3%)364(31.7%)
Figure 2

Plots of pair-wise linkage disequilibrium of the 9 SNPs of the DLGAP2 gene in the schizophrenic patients and controls.

Table 2

The distributions of DLGAP2 haplotypes in schizophrenia and controls.

HaplotypeCases (freq)Controls (freq)Chi2Pearson’s pMonte Carlo pOdds ratio [95% CI]
1ACACAAGGT21.78(0.0329)27.05(0.0354)0.14620.70221.00000.8957 [0.5090,1.5760]
2CCACCAACC31.78(0.0480)66.01(0.0864)9.88390.00170.30000.5045 [0.3273,0.7777]
3CCACCAACT111.94(0.1691)58.83(0.0770)29.47650.0000<0.00102.5000 [1.7840,3.5035]
4CCACCAGGC24.76(0.0374)26.74(0.0350)0.01790.89361.00001.0381 [0.5998,1.7967]
5CCACCAGGT70.90(0.1071)85.03(0.1113)0.23030.63131.00000.9211 [0.6583,1.2887]
6CCATCAACT36.71(0.0555)26.89(0.0352)3.19510.07391.00001.5758 [0.9537,2.6035]
7CGGCAAACT14.23(0.0215)31.17(0.0408)5.04360.02471.00000.4955 [0.2655,0.9247]
8CGGCAAGGC26.35(0.0398)45.61(0.0597)3.66290.05561.00000.6247 [0.3845,1.0150]
9CGGCAAGGT72.49(0.1090)82.36(0.1078)0.01850.89171.00000.9769 [0.6977,1.3678]
10CGGCAGGCT20.52(0.0310)37.44(0.0490)3.61320.05731.00000.5950 [0.3466,1.0215]
11CGGCAGGGT23.63(0.0357)21.93(0.0287)0.43710.50861.00001.2162 [0.6802,2.1744]

Global result: Total control = 662, total case = 764; Global chi2 is 48.4847 while df = 10 (frequency <0.03 in both control & case has been dropped.); Fisher’s p value is 0.0000; Pearson’s p value is 0.0000; Permutation p value (Fisher) is 0.0000; Permutation p value (Pearson) is 0.0000; 1000 permutations; Website: http://analysis.bio-x.cn/myAnalysis.php.

Genetic variants of the DLGAP2 gene identified in this study.

(A) Schematic genomic structure of the DLGAP2 gene and locations of molecular variants analyzed in this study. The black box indicates the protein-coding region; the white box indicates the untranslated region. Variants represented in red were specific to schizophrenia and in green were specific to the controls. (B) Sequence electropherograms of five private rare variants (c.−69+9C>T, c.−69+13C>T, c.−69+47C>T, c.−69+55C>T and c.−32A>G) at the intron 1 and untranslated exon 2 of the DLGAP2 gene. Global result: Total control = 662, total case = 764; Global chi2 is 48.4847 while df = 10 (frequency <0.03 in both control & case has been dropped.); Fisher’s p value is 0.0000; Pearson’s p value is 0.0000; Permutation p value (Fisher) is 0.0000; Permutation p value (Pearson) is 0.0000; 1000 permutations; Website: http://analysis.bio-x.cn/myAnalysis.php. Thirty nine rare variants include 16 missense variants (p.D114G, p.V234L, p.P281A, p.E398K, p.A421V, p.E643K, p.T712M, p.P771A, p.H796D, p.G804S, p.D884N, p.R888Q, p.N892K, p.P917L, p.D933N, and p.D962N) and 1 amino acid insertion mutation (p.T712_E713insT) and are listed at Table 3. Among these 17 rare variants, 7 (p.D114G, p.E398K, p.E643K, p.T712_E713insT, p.R888Q, p.D933N and p.D962N) were detected in schizophrenic patients only, while 5 (p.V234L, p.A421V, p.P771A, p.H796D, and p.D884N) were detected in control subjects only. Five missense mutations (p.P281A, p.T712M, p.G804S, p.N892K, and p.P917L) were detected in both patients and control subjects. There is no increased burden of these rare mutations in the patient group as compared to the control group (16/523 cases versus 16/596 controls, p = 0.715). The functional impact of these missense mutations was assessed by computer programs Polyphen-2 and Pmut. Six missense mutations (p.D114G, p.281A, p.H796D, p.G804S, p.N892K, and p.D962N) were predicted to be both damaging (possibly or probably) and pathological using PolyPhen-2 and Pmut softwares. Two missense mutations (p.P281A and p.D933N) were predicted to be probably damaging to protein function using PolyPhen-2, while 4 (p.P771A, p.D884N, p.R888Q, and p.917L) were predicted to be pathological effect using Pmut (Table 3).
Table 3

Distributions and bioinformatic analyses of rare variants of the DLGAP2 gene identified in this study.

VariantsFrequenciesAmino acidchange In silico analysis
SchizophreniaControlTranscription factora PolyPhen-2 (score)b Pmut (NN output)c
c.−69+9C>T1/5110/559IntronNoneNaNa
c.−69+13C>T1/5110/559IntronATF, HBP, CREBNaNa
c.−69+47C>T1/5110/559IntronNoneNaNa
c.−69+55C>T1/5110/559IntronNoneNaNa
c.−32A>G1/5060/5595′UTRc-Myb, EcRNaNa
c.102C>G0/5061/559p.P34 = NaNaNa
c.213G>A1/5061/559p.V71 = NaNaNa
c.341A>G1/5060/559p.D114GNaProbably damaging (1.000)Pathological (0.8216)
c.438C>T1/5050/559p.P146 = NaNaNa
c.492C>T3/5118/564p.H164 = NaNaNa
c.519C>T1/5113/564p.N173 = NaNaNa
c.700G>T0/5112/564p.V234LNaBenign (0.046)Neutral (0.2941)
c.841C>G2/5115/564p.P281ANaProbably damaging (0.996)Neutral (0.2332)
c.990+60T>C1/2040/562IntronNoneNaNa
c.1192G>A2/5100/596p.E398KNaBenign (0.017)Neutral (0.4983)
c.1257C>T0/5001/547p.P419 = NaNaNa
c.1262C>T0/5001/547p.A421VNaBenign (0.000)Neutral (0.4405)
c.1650G>A0/5231/515p.T551 = NaNaNa
c.1920+37A>G2/5120/507IntronNoneNaNa
c.1920+94T>A1/5000/502IntronNoneNaNa
c.1921−58C>T2/5051/565IntronNoneNaNa
c.1927G>A1/5050/565p.E643KNaBenign (0.028)Neutral (0.2677)
c.1962+40C>G0/5051/565IntronNoneNaNa
c.1962+50delC0/5052/565IntronNoneNaNa
c.2135C>T1/5022/553p.T712MNaBenign (0.011)Neutral (0.4149)
c.2135−2136 insCAC1/5020/553p.T712_E713insTNaNaNa
c.2311C>G0/5021/553p.P771ANaBenign (0.282)Pathological (0.5402)
c.2386C>G0/5021/553p.H796DNaProbably damaging (0.999)Pathological (0.8971)
c.2410G>A1/5021/553p.G804SNaProbably damaging (0.881)Pathological (0.8112)
c.2457 G>A0/5021/553p.S819 = NaNaNa
c.2493G>C1/5130/544p.G831 = NaNaNa
c.2634C>T1/5070/575p.D878 = NaNaNa
c.2650G>A0/5071/575p.D884NNaBenign (0.222)Pathological (0.7218)
c.2663G>A1/5070/575p.R888QNaBenign (0.003)Pathological (0.6063)
c.2676C>A1/5071/575p.N892KNaPossibly damaging (0.367)Pathological (0.8349)
c.2750C>T3/5001/549p.P917LNaBenign (0.002)Pathological (0.0120)
c.2797G>A1/5000/549p.D933NNaProbably damaging (0.999)Neutral (0.3196)
c.2884G>A1/5000/549p.D962NNaProbably damaging (0.999)Pathological (0.6800)
c.2922G>A0/5002/549p.R974 = NaNaNa

a TESS (http://www.cbil.upenn.edu/cgi-bin/tess/tess).

b PolyPhen-2 (http://genetics.bwh.harvard.edu/pph2/).

c Pmut (http://mmb2.pcb.ub.es:8080/PMut/).

Na = not available.

a TESS (http://www.cbil.upenn.edu/cgi-bin/tess/tess). b PolyPhen-2 (http://genetics.bwh.harvard.edu/pph2/). c Pmut (http://mmb2.pcb.ub.es:8080/PMut/). Na = not available. Furthermore, we identified 4 private rare variants (c.−69+9C>T, c.−69+13C>T, c.−69+47C>T, c.−69+55C>T) at the intron 1 and 1 private variant (c.−32A>G) at the untranslated exon 2 of the DLGAP2 gene in 5 respective patients. These variants were not found in 559 control subjects. The sequencing results are shown in Figure 1B. Bioinformatic analysis predicts that the c.−69+13C>T may change transcription factor binding sites of ATF, HBP, CREB, and the c.−32A>G may change transcription factor binding sites of c-Myc, EcR (Table 3). We further performed a reporter gene activity assay to assess the potential regulatory impact of these 5 variants (c.−69+9C>T, c.−69+13C>T, c.−69+47C>T, c.−69+55C>T and c.−32A>G) on the expression of the DLGAP2 gene. As shown in Figure 3, 4 variants (c.−69+9T, c.−69+47T, c.−69+55T and c.−32G) showed significantly increased promoter activity compared to the wild type in SKNSH cells, but this elevation of reporter gene activity was not observed in the c.−69+13T variant.
Figure 3

Reporter gene assay of the identified rare variants at the intron 1 and untranslated exon 2 of the DLGAP2 gene.

(A) The promoter activity of three variants c.−69+9T, c.−69+47T, c.−69+55T had significantly higher than that wild type of the DLGAP2 gene in SKNSH cells. (B) The promoter activity of allele c.−32G is significantly higher than that wild type of the DLGAP2 gene in SKNSH cells. **p<0.01; *p<0.05.

Reporter gene assay of the identified rare variants at the intron 1 and untranslated exon 2 of the DLGAP2 gene.

(A) The promoter activity of three variants c.−69+9T, c.−69+47T, c.−69+55T had significantly higher than that wild type of the DLGAP2 gene in SKNSH cells. (B) The promoter activity of allele c.−32G is significantly higher than that wild type of the DLGAP2 gene in SKNSH cells. **p<0.01; *p<0.05.

Discussion

Schizophrenia is a complex genetic disorder with the involvement of multiple genes. The common variants hypothesis proposes that schizophrenia is attributed to the combined effect of multiple common variants, each with a small-to modest disease risk [19]. Alternatively, the rare mutation hypothesis of schizophrenia suggests that schizophrenia is attributed to rare mutations with large effect in multiple genes in different patients [20]. These two hypotheses are not necessarily mutually exclusive, rare mutations with large clinical effect may occur in genes that also harbor common variants with small disease risk [19], [20]. In this study, we identified a specific haplotype CCACCAACT of the DLGAP2 gene associated with schizophrenia with the odds ratio of 2.5. In addition, we also identified several rare mutations of the DLGAP2 gene that were predicted to have pathological effect on the protein function of the DLGAP2 gene in the patient group. Together, our data support that the DLGAP2 is a susceptible gene of schizophrenia. Nevertheless, several rare pathological missense mutations of the DLGAP2 gene were detected in control subjects, indicating that the clinical relevance of these putatively pathological missense mutations is not straightforward; additional environmental factors or other genetic mutations as second or third hit are needed in affected patients in order to have clinical manifestations [21], [22]. Recent studies demonstrated shared genetic etiology and neurodevelopmental pathways between different psychiatric disorder [23], [24]. We previously reported a novel chromosomal deletion of 2.4 Mb at 8p23.2-pter that contained the DLGAP2 gene in a male patient with autistic disorder [25]. Marshall et al. also found a genomic DNA duplication intersected the DLGAP2 gene in a patient with autism [26], and Ozgen et al. reported a classical inv dup del(8) chromosome that also included the DLGAP2 gene in a female patient with autism [27]. In that study, we detected several common and rare genetic variants of the DLGAP2 gene associated with autism [28]. Taken together, these studies suggest that the DLGAP2 gene is likely a common susceptible gene between schizophrenia and autism. Notably in the present study, we identified several patient-only variants with enhanced promoter activity, suggesting increased DLGAP2 gene expression may contribute to the pathogenesis of schizophrenia. The DLGAP2-encoded SAPAP2 specifically interacts with PSD-95/SAP90 and its related proteins through the guanylate kinase domain. The protein is specifically expressed in neuronal cells, and enriched in the post-synaptic density fraction [8], [16], and plays a pivotal role in the molecular organization of synapses and in neuronal cell signaling. In the case of fragile X syndrome, which is a hereditary form of mental retardation caused by functional absence of Fragile X mental retardation protein (FMRP), Schütt et al. reported that mRNA of SAPAP1, 2 and 3 were part of the targets of the FMRP and increased postsynaptic SAPAP2 levels was observed in the hippocampus of FMRP knock-out mice [29], The increased SAPAP2 level may contribute to the aberrant synaptic function in patients with Fragile X syndrome. These findings provide clues to support that increased DLGAP2 gene expression might also contribute to the pathogenesis of schizophrenia in our patients who found to have mutations with enhanced promoter activity. Nevertheless, further functional studies are needed to address the relation between increased DLGAP2 gene and schizophrenia. This study has several limitations. First, we lack functional study to assess the impact of missense mutations of the DLGAP2 gene identified in this study, including one amino acid insertion in a patient, given some of them were predicted to have pathologic impact on the protein function. Second, this study was designed for case-control association analysis; hence, we did not collect family information. We need to conduct family study to trace the origin of the missense mutations indentified in this study and to assess their genotype-phenotype relationship. Third, the sample size of this study is small and the mean age of the control group is significantly higher than the patient group, hence, independent replication studies with larger sample size and better age-matched controls are needed to verify the findings from the present study.

Materials and Methods

Subjects

All subjects were Han Chinese from Taiwan. Patients fulfilling the diagnostic criteria for schizophrenia defined by the diagnostic and statistical manual of mental disorders-IV (DSM-IV) were recruited into this study from the Department of Psychiatry, Yuli Veterans Hospital, Hualien Armed Forced General Hospital, and Taoyuan Armed Forced General Hospital, Taiwan. The diagnosis of schizophrenia was based on clinical interview and review of medical records by senior psychiatrists with consensus. Exclusion criteria include psychosis due to general medical condition, substance-related psychosis, and mood disorder with psychotic features. Control subjects were recruited from those who received routine medical checkups from the department of family Medicine of a general hospital in eastern Taiwan. The mental status and history of mental illness of the control subjects were evaluated by a senior psychiatrist; subjects diagnosed with a DSM-IV axis I disorder were excluded. The study protocol was approved by the Ethics Committee of Yuli Veterans Hospital, Hualien Armed Forced General Hospital, Taoyuan Armed Forced General Hospital, and Tzu-Chi General Hospital, Taiwan. After giving the participants a complete description of the study, written informed consent was obtained in line with the Institutional Review Board guidelines. If the participants had a compromised ability to consent, next of kin or guardians consented on the behalf of participants after the purposes and procedures of the study were fully explained and confidentiality was ensured. The affected group comprised 523 schizophrenia patients (313 males, 210 females, mean age: 40±12 years) and the control group comprised 596 subjects (263 males, 333 females, mean age: 50±9 years). Genomic DNA was prepared from peripheral blood cells according to standard protocols.

PCR Amplification and Direct PCR Sequencing Reaction

The human DLGAP2 gene comprises 12 exons that span approximately 207 kb on chromosome 8p23.3. Optimal PCR primer sequences were generated to amplify each exon of the DLGAP2 gene using Primer3 (http://frodo.wi.mit.edu/primer3/). Primer sequences, optimal annealing temperatures and size of each amplicon are listed in Table S1. Each exon of the DLGAP2 gene was PCR amplified and subjected to direct sequencing using ABI Prism™ BigDye™ Terminator Cycle Sequencing Ready Reaction Kit Version 3.1, and an ABI autosequencer 3730 (Perkin Elmer Applied Biosystem, Foster City, CA) according to the standard protocol established in the laboratory. The authenticity of mutations identified in this study was confirmed by repeated PCR and sequencing in both directions.

Nomenclature and Reference Sequences

The nomenclature of these sequence variations follows the “Nomenclature for description of human sequence variations” [30]. The GenBank accession numbers of the reference sequences for the genomic DNA and cDNA of the DLGAP2 gene used in this study are NC_000008.10 and NM_004745.3, respectively.

Genetic Association Analysis and Statistical Analysis

Differences in the allele and genotype frequencies of SNPs between schizophrenic patients and control subjects were evaluated using a χ2 test. Deviation from Hardy-Weinberg equilibrium for each SNP was checked by a chi-square goodness-of-fit test. Fisher’s exact test was used to compare whether combination of all missense mutations were significantly overrepresented in the patient group than the control group. The threshold of significance was set as p<0.05. Differences in allele, genotype, and estimated haplotype frequencies between patients and controls were evaluated using an online computer platform SHEsis (http://analysis.bio-c.cn).

In silico Analysis

The putative core promoter of the DLGAP2 gene was predicted using PROMOTER SCAN (http://www-bimas.cit.nih.gov/molbio/proscan/). The potential functional consequences of missense mutations were predicted using the Polyphen-2 (http://genetics.bwh.harvard.edu/pph2/) and the PMut (http://mmb.pcb.ub.es/PMut/) software. The alteration of putative transcription factor binding site by the promoter variant of the DLGAP2 gene was evaluated using TESS (http://www.cbil.upenn.edu/cgi-bin/tess/tess).

Reporter Gene Activity Assay

Genomic DNAs from the subjects were used for constructing the inserts for the reporter gene assay. For functional characterization of c.−69+9T, c.−69+13T, c.−69+47T, and c.−69+55T, sense primer (5′-tgaagatgtgcagggaatga-3′) and antisense primer (5′-gctaacgtgtgtttgtggga-3′) were used to obtain amplicon containing identified genetic variants. The PCR fragments were first cloned into pCR-II-TOPO vector (Invitrogen, CA, USA) then subcloned into the pGL3-basic vector (Promega, Madison, WI, USA) using KpnI and XhoI recognition sites, and the authenticity of each construct was verified by sequencing. SKNSH neuroblastoma cells (ATCC Number: HTB-11, ATCC, Manassas, VA, USA) were cultured on 96-well plates at 3,000 cells per well in MEM supplemented with 1 mM sodium pyruvate, 0.1 mM non-essential amino acids, penicillin-streptomycin (Invitrogen, CA, USA), and 10% fetal bovine serum. The cells were co-transfected with 200 ng of reporter plasmid and 10 ng of pRL-TK (Promega, Madison, WI, USA) as an internal control reporter using 0.5 µl of the Lipofectamine™ 2000 (Invitrogen, CA, USA) and six replicates were performed for each treatment. At 30 hours after transfection, cells were lysed and the luciferase activities were measured using the Dual-Luciferase Reporter Assay System according to the manufacturer’s instructions (Promega, Madison, WI, USA). The firefly luciferase activity was normalized against the Renilla luciferase activity in each transfection. For functional characterization of the c.−32A, infusion primers with 15 bp extensions complementary to pGL3-basic vector ends were used to obtain amplicon containing the c.−32A (sense primer: 5′-tttctctatcgataggtacccgggtgttcaatgccgttc-3′) and antisense primer: 5′-gatcgcagatctcgagacacgtgtgcccggaacac-3′). The amplicon was cloned into pGL3-basic vector using In-Fusion HD Cloning Kit according to the manufacturer’s instruction (Clontech) and the authenticity of the clones was verified by sequencing. Transfection was performed in SKNSH neuroblastoma cell line cultured in Minimum Essential Medium (MEM) containing 5% fetal bovine serum in 24-well plates. Each well contained 105 cells, 1 µg of reporter plasmid, 200 ng of pGL3-Control as an internal control reporter, and 2 µl of Lipofetamine™ 2000. Every treatment was repeated six times. At 30 hours after transfection, the luciferase activities were measured as described. Primer sequences, optimal annealing temperature (Ta) and size of PCR products of the DLGAP2 gene. (DOC) Click here for additional data file.
  30 in total

1.  Two-hit wonder: a novel genetic model to explain variable expressivity in severe pediatric phenotypes.

Authors:  R A Kumar
Journal:  Clin Genet       Date:  2010-09-29       Impact factor: 4.438

2.  Structural variation of chromosomes in autism spectrum disorder.

Authors:  Christian R Marshall; Abdul Noor; John B Vincent; Anath C Lionel; Lars Feuk; Jennifer Skaug; Mary Shago; Rainald Moessner; Dalila Pinto; Yan Ren; Bhooma Thiruvahindrapduram; Andreas Fiebig; Stefan Schreiber; Jan Friedman; Cees E J Ketelaars; Yvonne J Vos; Can Ficicioglu; Susan Kirkpatrick; Rob Nicolson; Leon Sloman; Anne Summers; Clare A Gibbons; Ahmad Teebi; David Chitayat; Rosanna Weksberg; Ann Thompson; Cathy Vardy; Vicki Crosbie; Sandra Luscombe; Rebecca Baatjes; Lonnie Zwaigenbaum; Wendy Roberts; Bridget Fernandez; Peter Szatmari; Stephen W Scherer
Journal:  Am J Hum Genet       Date:  2008-01-17       Impact factor: 11.025

Review 3.  Mutation nomenclature.

Authors:  Johan T den Dunnen; Stylianos E Antonarakis
Journal:  Curr Protoc Hum Genet       Date:  2003-08

4.  Identification and molecular characterization of two novel chromosomal deletions associated with autism.

Authors:  W-H Chien; S S-F Gau; Y-Y Wu; Y-S Huang; J-S Fang; Y-J Chen; W-T Soong; Y-N Chiu; C-H Chen
Journal:  Clin Genet       Date:  2010-11       Impact factor: 4.438

5.  SAPAPs. A family of PSD-95/SAP90-associated proteins localized at postsynaptic density.

Authors:  M Takeuchi; Y Hata; K Hirao; A Toyoda; M Irie; Y Takai
Journal:  J Biol Chem       Date:  1997-05-02       Impact factor: 5.157

Review 6.  Multiple rare SAPAP3 missense variants in trichotillomania and OCD.

Authors:  S Züchner; J R Wendland; A E Ashley-Koch; A L Collins; K N Tran-Viet; K Quinn; K C Timpano; M L Cuccaro; M A Pericak-Vance; D C Steffens; K R Krishnan; G Feng; D L Murphy
Journal:  Mol Psychiatry       Date:  2009-01       Impact factor: 15.992

7.  Phenotypic and genetic complexity of psychosis. Invited commentary on ... Schizophrenia: a common disease caused by multiple rare alleles.

Authors:  Nick Craddock; Michael C O'Donovan; Michael J Owen
Journal:  Br J Psychiatry       Date:  2007-03       Impact factor: 9.319

8.  De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia.

Authors:  G Kirov; A J Pocklington; P Holmans; D Ivanov; M Ikeda; D Ruderfer; J Moran; K Chambert; D Toncheva; L Georgieva; D Grozeva; M Fjodorova; R Wollerton; E Rees; I Nikolov; L N van de Lagemaat; A Bayés; E Fernandez; P I Olason; Y Böttcher; N H Komiyama; M O Collins; J Choudhary; K Stefansson; H Stefansson; S G N Grant; S Purcell; P Sklar; M C O'Donovan; M J Owen
Journal:  Mol Psychiatry       Date:  2011-11-15       Impact factor: 15.992

9.  Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Authors:  S Hong Lee; Stephan Ripke; Benjamin M Neale; Stephen V Faraone; Shaun M Purcell; Roy H Perlis; Bryan J Mowry; Anita Thapar; Michael E Goddard; John S Witte; Devin Absher; Ingrid Agartz; Huda Akil; Farooq Amin; Ole A Andreassen; Adebayo Anjorin; Richard Anney; Verneri Anttila; Dan E Arking; Philip Asherson; Maria H Azevedo; Lena Backlund; Judith A Badner; Anthony J Bailey; Tobias Banaschewski; Jack D Barchas; Michael R Barnes; Thomas B Barrett; Nicholas Bass; Agatino Battaglia; Michael Bauer; Mònica Bayés; Frank Bellivier; Sarah E Bergen; Wade Berrettini; Catalina Betancur; Thomas Bettecken; Joseph Biederman; Elisabeth B Binder; Donald W Black; Douglas H R Blackwood; Cinnamon S Bloss; Michael Boehnke; Dorret I Boomsma; Gerome Breen; René Breuer; Richard Bruggeman; Paul Cormican; Nancy G Buccola; Jan K Buitelaar; William E Bunney; Joseph D Buxbaum; William F Byerley; Enda M Byrne; Sian Caesar; Wiepke Cahn; Rita M Cantor; Miguel Casas; Aravinda Chakravarti; Kimberly Chambert; Khalid Choudhury; Sven Cichon; C Robert Cloninger; David A Collier; Edwin H Cook; Hilary Coon; Bru Cormand; Aiden Corvin; William H Coryell; David W Craig; Ian W Craig; Jennifer Crosbie; Michael L Cuccaro; David Curtis; Darina Czamara; Susmita Datta; Geraldine Dawson; Richard Day; Eco J De Geus; Franziska Degenhardt; Srdjan Djurovic; Gary J Donohoe; Alysa E Doyle; Jubao Duan; Frank Dudbridge; Eftichia Duketis; Richard P Ebstein; Howard J Edenberg; Josephine Elia; Sean Ennis; Bruno Etain; Ayman Fanous; Anne E Farmer; I Nicol Ferrier; Matthew Flickinger; Eric Fombonne; Tatiana Foroud; Josef Frank; Barbara Franke; Christine Fraser; Robert Freedman; Nelson B Freimer; Christine M Freitag; Marion Friedl; Louise Frisén; Louise Gallagher; Pablo V Gejman; Lyudmila Georgieva; Elliot S Gershon; Daniel H Geschwind; Ina Giegling; Michael Gill; Scott D Gordon; Katherine Gordon-Smith; Elaine K Green; Tiffany A Greenwood; Dorothy E Grice; Magdalena Gross; Detelina Grozeva; Weihua Guan; Hugh Gurling; Lieuwe De Haan; Jonathan L Haines; Hakon Hakonarson; Joachim Hallmayer; Steven P Hamilton; Marian L Hamshere; Thomas F Hansen; Annette M Hartmann; Martin Hautzinger; Andrew C Heath; Anjali K Henders; Stefan Herms; Ian B Hickie; Maria Hipolito; Susanne Hoefels; Peter A Holmans; Florian Holsboer; Witte J Hoogendijk; Jouke-Jan Hottenga; Christina M Hultman; Vanessa Hus; Andrés Ingason; Marcus Ising; Stéphane Jamain; Edward G Jones; Ian Jones; Lisa Jones; Jung-Ying Tzeng; Anna K Kähler; René S Kahn; Radhika Kandaswamy; Matthew C Keller; James L Kennedy; Elaine Kenny; Lindsey Kent; Yunjung Kim; George K Kirov; Sabine M Klauck; Lambertus Klei; James A Knowles; Martin A Kohli; Daniel L Koller; Bettina Konte; Ania Korszun; Lydia Krabbendam; Robert Krasucki; Jonna Kuntsi; Phoenix Kwan; Mikael Landén; Niklas Långström; Mark Lathrop; Jacob Lawrence; William B Lawson; Marion Leboyer; David H Ledbetter; Phil H Lee; Todd Lencz; Klaus-Peter Lesch; Douglas F Levinson; Cathryn M Lewis; Jun Li; Paul Lichtenstein; Jeffrey A Lieberman; Dan-Yu Lin; Don H Linszen; Chunyu Liu; Falk W Lohoff; Sandra K Loo; Catherine Lord; Jennifer K Lowe; Susanne Lucae; Donald J MacIntyre; Pamela A F Madden; Elena Maestrini; Patrik K E Magnusson; Pamela B Mahon; Wolfgang Maier; Anil K Malhotra; Shrikant M Mane; Christa L Martin; Nicholas G Martin; Manuel Mattheisen; Keith Matthews; Morten Mattingsdal; Steven A McCarroll; Kevin A McGhee; James J McGough; Patrick J McGrath; Peter McGuffin; Melvin G McInnis; Andrew McIntosh; Rebecca McKinney; Alan W McLean; Francis J McMahon; William M McMahon; Andrew McQuillin; Helena Medeiros; Sarah E Medland; Sandra Meier; Ingrid Melle; Fan Meng; Jobst Meyer; Christel M Middeldorp; Lefkos Middleton; Vihra Milanova; Ana Miranda; Anthony P Monaco; Grant W Montgomery; Jennifer L Moran; Daniel Moreno-De-Luca; Gunnar Morken; Derek W Morris; Eric M Morrow; Valentina Moskvina; Pierandrea Muglia; Thomas W Mühleisen; Walter J Muir; Bertram Müller-Myhsok; Michael Murtha; Richard M Myers; Inez Myin-Germeys; Michael C Neale; Stan F Nelson; Caroline M Nievergelt; Ivan Nikolov; Vishwajit Nimgaonkar; Willem A Nolen; Markus M Nöthen; John I Nurnberger; Evaristus A Nwulia; Dale R Nyholt; Colm O'Dushlaine; Robert D Oades; Ann Olincy; Guiomar Oliveira; Line Olsen; Roel A Ophoff; Urban Osby; Michael J Owen; Aarno Palotie; Jeremy R Parr; Andrew D Paterson; Carlos N Pato; Michele T Pato; Brenda W Penninx; Michele L Pergadia; Margaret A Pericak-Vance; Benjamin S Pickard; Jonathan Pimm; Joseph Piven; Danielle Posthuma; James B Potash; Fritz Poustka; Peter Propping; Vinay Puri; Digby J Quested; Emma M Quinn; Josep Antoni Ramos-Quiroga; Henrik B Rasmussen; Soumya Raychaudhuri; Karola Rehnström; Andreas Reif; Marta Ribasés; John P Rice; Marcella Rietschel; Kathryn Roeder; Herbert Roeyers; Lizzy Rossin; Aribert Rothenberger; Guy Rouleau; Douglas Ruderfer; Dan Rujescu; Alan R Sanders; Stephan J Sanders; Susan L Santangelo; Joseph A Sergeant; Russell Schachar; Martin Schalling; Alan F Schatzberg; William A Scheftner; Gerard D Schellenberg; Stephen W Scherer; Nicholas J Schork; Thomas G Schulze; Johannes Schumacher; Markus Schwarz; Edward Scolnick; Laura J Scott; Jianxin Shi; Paul D Shilling; Stanley I Shyn; Jeremy M Silverman; Susan L Slager; Susan L Smalley; Johannes H Smit; Erin N Smith; Edmund J S Sonuga-Barke; David St Clair; Matthew State; Michael Steffens; Hans-Christoph Steinhausen; John S Strauss; Jana Strohmaier; T Scott Stroup; James S Sutcliffe; Peter Szatmari; Szabocls Szelinger; Srinivasa Thirumalai; Robert C Thompson; Alexandre A Todorov; Federica Tozzi; Jens Treutlein; Manfred Uhr; Edwin J C G van den Oord; Gerard Van Grootheest; Jim Van Os; Astrid M Vicente; Veronica J Vieland; John B Vincent; Peter M Visscher; Christopher A Walsh; Thomas H Wassink; Stanley J Watson; Myrna M Weissman; Thomas Werge; Thomas F Wienker; Ellen M Wijsman; Gonneke Willemsen; Nigel Williams; A Jeremy Willsey; Stephanie H Witt; Wei Xu; Allan H Young; Timothy W Yu; Stanley Zammit; Peter P Zandi; Peng Zhang; Frans G Zitman; Sebastian Zöllner; Bernie Devlin; John R Kelsoe; Pamela Sklar; Mark J Daly; Michael C O'Donovan; Nicholas Craddock; Patrick F Sullivan; Jordan W Smoller; Kenneth S Kendler; Naomi R Wray
Journal:  Nat Genet       Date:  2013-08-11       Impact factor: 38.330

10.  Deep exon resequencing of DLGAP2 as a candidate gene of autism spectrum disorders.

Authors:  Wei-Hsien Chien; Susan Shur-Fen Gau; Hsiao-Mei Liao; Yen-Nan Chiu; Yu-Yu Wu; Yu-Shu Huang; Wen-Che Tsai; Ho-Min Tsai; Chia-Hsiang Chen
Journal:  Mol Autism       Date:  2013-08-01       Impact factor: 7.509

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  20 in total

1.  Recurrent major depression and right hippocampal volume: A bivariate linkage and association study.

Authors:  Samuel R Mathias; Emma E M Knowles; Jack W Kent; D Reese McKay; Joanne E Curran; Marcio A A de Almeida; Thomas D Dyer; Harald H H Göring; Rene L Olvera; Ravi Duggirala; Peter T Fox; Laura Almasy; John Blangero; David C Glahn
Journal:  Hum Brain Mapp       Date:  2015-10-20       Impact factor: 5.038

2.  Genetic variability in scaffolding proteins and risk for schizophrenia and autism-spectrum disorders: a systematic review.

Authors:  Jordi Soler; Lourdes Fañanás; Mara Parellada; Marie-Odile Krebs; Guy A Rouleau; Mar Fatjó-Vilas
Journal:  J Psychiatry Neurosci       Date:  2018-05-28       Impact factor: 6.186

3.  Genetic variability in scaffolding proteins and risk for schizophrenia and autism-spectrum disorders: a systematic review.

Authors:  Jordi Soler; Lourdes Fañanás; Mara Parellada; Marie-Odile Krebs; Guy A Rouleau; Mar Fatjó-Vilas
Journal:  J Psychiatry Neurosci       Date:  2018-07       Impact factor: 6.186

4.  MicroRNA Alterations in Induced Pluripotent Stem Cell-Derived Neurons from Bipolar Disorder Patients: Pathways Involved in Neuronal Differentiation, Axon Guidance, and Plasticity.

Authors:  Monica Bame; Melvin G McInnis; K Sue O'Shea
Journal:  Stem Cells Dev       Date:  2020-06-17       Impact factor: 3.272

5.  Quantitative proteomics analysis of CaMKII phosphorylation and the CaMKII interactome in the mouse forebrain.

Authors:  Anthony J Baucum; Brian C Shonesy; Kristie L Rose; Roger J Colbran
Journal:  ACS Chem Neurosci       Date:  2015-02-24       Impact factor: 4.418

Review 6.  Genetic assessment of additional endophenotypes from the Consortium on the Genetics of Schizophrenia Family Study.

Authors:  Tiffany A Greenwood; Laura C Lazzeroni; Monica E Calkins; Robert Freedman; Michael F Green; Raquel E Gur; Ruben C Gur; Gregory A Light; Keith H Nuechterlein; Ann Olincy; Allen D Radant; Larry J Seidman; Larry J Siever; Jeremy M Silverman; William S Stone; Catherine A Sugar; Neal R Swerdlow; Debby W Tsuang; Ming T Tsuang; Bruce I Turetsky; David L Braff
Journal:  Schizophr Res       Date:  2015-11-18       Impact factor: 4.939

7.  Genotype-dependent epigenetic regulation of DLGAP2 in alcohol use and dependence.

Authors:  Weida Meng; Louise K Sjöholm; Olga Kononenko; Nicole Tay; Dandan Zhang; Daniil Sarkisyan; Georgy Bakalkin; Tomas J Ekström; Joelle Rüegg; Yun Liu; Jennifer R Geske; Alex Ing; Wenqing Qiu; Hiroyuki Watanabe; Radwa Almamoun; Helge Frieling; Stefan Bleich; Donghong Cui; Joanna M Biernacka; R Dayne Mayfield; Yongjun Dang; Victor M Karpyak; Gunter Schumann
Journal:  Mol Psychiatry       Date:  2019-11-19       Impact factor: 15.992

8.  Inherited unbalanced translocation (4p16.3p15.32 duplication/8p23.3p23.2deletion) in the four generation pedigree with intellectual disability/developmental delay.

Authors:  Dongmei Hao; Yajuan Li; Lisha Chen; Xiliang Wang; Mengxing Wang; Yuexin Yu
Journal:  Mol Cytogenet       Date:  2021-07-08       Impact factor: 2.009

9.  DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis.

Authors:  Bonnie R Joubert; Janine F Felix; Paul Yousefi; Kelly M Bakulski; Allan C Just; Carrie Breton; Sarah E Reese; Christina A Markunas; Rebecca C Richmond; Cheng-Jian Xu; Leanne K Küpers; Sam S Oh; Cathrine Hoyo; Olena Gruzieva; Cilla Söderhäll; Lucas A Salas; Nour Baïz; Hongmei Zhang; Johanna Lepeule; Carlos Ruiz; Symen Ligthart; Tianyuan Wang; Jack A Taylor; Liesbeth Duijts; Gemma C Sharp; Soesma A Jankipersadsing; Roy M Nilsen; Ahmad Vaez; M Daniele Fallin; Donglei Hu; Augusto A Litonjua; Bernard F Fuemmeler; Karen Huen; Juha Kere; Inger Kull; Monica Cheng Munthe-Kaas; Ulrike Gehring; Mariona Bustamante; Marie José Saurel-Coubizolles; Bilal M Quraishi; Jie Ren; Jörg Tost; Juan R Gonzalez; Marjolein J Peters; Siri E Håberg; Zongli Xu; Joyce B van Meurs; Tom R Gaunt; Marjan Kerkhof; Eva Corpeleijn; Andrew P Feinberg; Celeste Eng; Andrea A Baccarelli; Sara E Benjamin Neelon; Asa Bradman; Simon Kebede Merid; Anna Bergström; Zdenko Herceg; Hector Hernandez-Vargas; Bert Brunekreef; Mariona Pinart; Barbara Heude; Susan Ewart; Jin Yao; Nathanaël Lemonnier; Oscar H Franco; Michael C Wu; Albert Hofman; Wendy McArdle; Pieter Van der Vlies; Fahimeh Falahi; Matthew W Gillman; Lisa F Barcellos; Ashish Kumar; Magnus Wickman; Stefano Guerra; Marie-Aline Charles; John Holloway; Charles Auffray; Henning W Tiemeier; George Davey Smith; Dirkje Postma; Marie-France Hivert; Brenda Eskenazi; Martine Vrijheid; Hasan Arshad; Josep M Antó; Abbas Dehghan; Wilfried Karmaus; Isabella Annesi-Maesano; Jordi Sunyer; Akram Ghantous; Göran Pershagen; Nina Holland; Susan K Murphy; Dawn L DeMeo; Esteban G Burchard; Christine Ladd-Acosta; Harold Snieder; Wenche Nystad; Gerard H Koppelman; Caroline L Relton; Vincent W V Jaddoe; Allen Wilcox; Erik Melén; Stephanie J London
Journal:  Am J Hum Genet       Date:  2016-03-31       Impact factor: 11.043

Review 10.  DNA methylome perturbations: an epigenetic basis for the emergingly heritable neurodevelopmental abnormalities associated with maternal smoking and maternal nicotine exposure†.

Authors:  Jordan M Buck; Li Yu; Valerie S Knopik; Jerry A Stitzel
Journal:  Biol Reprod       Date:  2021-09-14       Impact factor: 4.161

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