Literature DB >> 29379288

A meta-analysis of data associating DRD4 gene polymorphisms with schizophrenia.

Feng-Ling Xu1, Xue Wu1, Jing-Jing Zhang1, Bao-Jie Wang1, Jun Yao1.   

Abstract

To explore the association between DRD4 polymorphisms and schizophrenia risk, a meta-analysis was carried out with 41 case-control articles. Specifically, we included 28 articles (5,735 cases and 5,278 controls) that pertained to the 48 bp variable number tandem repeat (VNTR) polymorphism, nine articles (1,517 cases and 1,746 controls) that corresponded to the 12 bp tandem repeat (TR), six articles (1,912 cases and 1,836 controls) that addressed the 120 bp TR, 10 articles (2,927 cases and 2,938 controls) that entailed the -521 C>T polymorphism, six articles (1,735 cases and 1,724 controls) that pertained to the -616 C>G polymorphism, and four articles (1,191 cases and 1,215 controls) that involved the -376 C>T polymorphism. Pooled analysis, subgroup analysis, and sensitivity analysis were performed, and the data were visualized by means of forest and funnel plots. Results of pooled analysis indicated that the -521 CC variant (Pz=0.009, odds ratio [OR] =1.218, 95% confidence interval [CI] =1.050-1.413) and genotype L/L (ie, long allele) of the 120 bp TR were risk factors of schizophrenia (Pz=0.004, OR =1.275, 95% CI =1.081-1.504). The 48 bp VNTR, the 12 bp TR, the -616 C>G polymorphism, and the -376 C>T polymorphism were not associated with schizophrenia. Additional research is warranted to explore the association between polymorphisms of DRD4 and schizophrenia risk.

Entities:  

Keywords:  DRD4; meta-analysis; polymorphism; schizophrenia

Year:  2018        PMID: 29379288      PMCID: PMC5757990          DOI: 10.2147/NDT.S156479

Source DB:  PubMed          Journal:  Neuropsychiatr Dis Treat        ISSN: 1176-6328            Impact factor:   2.570


Introduction

Schizophrenia is a chronic, severe mental disorder with a tremendously variable clinical presentation. Results of studies in which schizophrenia occurrence was evaluated among twins or children who were adopted have shown that this disease results from an interaction of genetics and environmental factors.1 Specifically, schizophrenia is a multigene disease with a heritability of 60%–70%.2 Although the pathogenesis and etiology of schizophrenia are not understood fully,3 a large body of evidence has indicated that dopamine dysfunction is involved in the occurrence of this disease.4–6 Dopamine is an endogenous neurotransmitter that primarily functions by binding to dopamine receptors, which have five types. The D4 receptor has attracted attention in the field of schizophrenia research. In postmortem brain striatum of patients with schizophrenia, the density of D4 receptor was significantly higher than in brain tissues of unaffected patients; in contrast, the density of D2 and D3 receptors remained modest.7 This upregulation of D4 receptor has been shown to be related to the disease rather than to pharmacological effects of treatment.8 The pharmacological characteristics of D4 resemble those of D2 and D3, but the affinity of D4 for clozapine is an order of magnitude higher.9 Hence, DRD4 (chromosome 11p15.5) is a potential susceptibility gene for schizophrenia.10 The SZGene database is a viable resource for ascertaining the risk of schizophrenia.11,12 Other investigators have determined that the −521 C>T and 120 bp tandem repeat (TR) polymorphisms in DRD4 are associated with nominally significant summary odds ratios (ORs) as risk factors for schizophrenia (P=0.003 and 0.005, respectively).11 However, despite a great deal of research, an association between DRD4 polymorphisms and schizophrenia risk remains debatable. TRs in DRD4 include a 48 bp variable number TR (VNTR), a 12 bp TR, and a 120 bp TR. The 48 bp VNTR is located in the third exon of DRD4 and encodes a sequence of 16 amino acids in the region of the third cytoplasmic loop. Polymorphisms in the 48 bp VNTR were found to differ in the recruitment of cellular cAMP.13 The 12 bp TR (rs4646983) is located in the first exon of DRD4, which corresponds to the N terminus of the gene product. Variants of the 12 bp TR modify an N-terminal glycosylation site, which affects expression levels of the membrane protein.14 The 120 bp TR is located 1.2 kb upstream from the initiation codon, and polymorphisms at this site affect transcriptional efficiency.15 Some researchers noted that the 120 bp TR was associated with attention-deficit hyperactivity disorder (ADHD)16,17 and schizophrenia.18 However, Tsutsumi et al19 demonstrated that the 120 bp TR was not related to the risk of schizophrenia. The −521 C>T polymorphism (rs1800955), located in the promoter region of DRD4, has been shown to be associated with novelty seeking20,21 and schizophrenia.22 Mitsuyasu et al suggested that the −521C variant could be a risk factor for schizophrenia among female patients.23 However, other investigators found no relationship between −521 C>T and schizophrenia.24 The −616 C>G (rs747302) and the −376 C>T (rs916455) polymorphisms are located in the promoter region of DRD4; these variants have not been associated conclusively with schizophrenia risk. A pooled analysis of data regarding polymorphisms in DRD4 and schizophrenia risk is warranted. Meta-analyses are proven tools for ascertaining associations of gene polymorphisms with disease.25–27 Several meta-analyses previously have addressed the potential associations between DRD4 polymorphisms and schizophrenia risk.28–31 However, the authors of these studies examined just one polymorphic locus28 or did not include the latest data.31 Herein, we describe the results of our meta-analysis of the association between DRD4 and schizophrenia risk.

Materials and methods

Literature searches

The SZGene, PubMed, and China National Knowledge Infrastructure (CNKI) databases were searched with the keywords “schizophrenia” and “DRD4”. Reference lists from relevant articles also were screened to identify additional studies.

Inclusion criteria and exclusion criteria

Studies with the following features were included in the meta-analysis: 1) case–control design; 2) involved patients with schizophrenia; 3) presented relevant data for case and control groups (eg, allele/genotype frequencies, sample size, ethnicity, schizophrenia diagnostic criteria, and control group source); 4) removed duplicate sample data; and 5) published before September 1, 2017. Studies were excluded for the following reasons: 1) no control group; 2) no usable genotype frequency data (attempts were made to contact authors via email for these data); and 3) duplicate reported sample data.

Statistical analysis

A meta-analysis was carried out using Stata Version 10.0 (StataCorp LP, College Station, TX, USA). The P-value of Hardy–Weinberg equilibrium (PHWE) was calculated for the control groups. ORs and 95% confidence intervals (CIs) were calculated to evaluate the strength of the associations. Under a random model,32,33 associations between DRD4 and the risk of schizophrenia were analyzed. A random model took into account population differences and heterogeneity among studies.25,34 Pairwise differences between genotypes (AA vs aa, Aa vs aa, and AA vs Aa [A being the risk factor]) were used to determine a suitable genetic model.35 The heterogeneity of the studies was determined by Cochran’s chi-square-based Q-statistic test.36 The degree of heterogeneity was expressed as I2 and was divided into low (I2<25%), medium (I2~50%), and high (I2>75%) heterogeneity groups.37 I2>50% was regarded as indicating substantial heterogeneity.38 Publication bias was calculated using Egger’s test and was represented as a funnel plot in which the standard error of log(OR) of each study was plotted against its log(OR). A sensitivity analysis was conducted to test the impact of removing each single study on the pooled result. Statistical power was calculated by means of the PS program, as described previously.39,40 P-values corresponding to association, heterogeneity, and publication bias tests were represented as Pz, Ph, and Pe, respectively. Statistical significance was defined as P<0.05 for all analyses.41

Results

Description of studies

A total of 211 English-language articles were obtained from SZGene and PubMed, and 14 Chinese-language articles were obtained from CNKI. After removing duplicate studies and those that did not meet our inclusion criteria, 41 articles were used in the meta-analysis (Figure 1). Specifically, 28 articles addressed the 48 bp VNTR,23,42–68 nine articles involved the 12 bp TR,23,43,48–50,69–72 six articles pertained to the 120 bp TR,18,19,65,72–74 10 articles addressed the −521 C>T polymorphism,18,22–24,58,72–76 six articles referred to −616 C>G,18,23,72,74–76 and four articles entailed −376 C>T.18,23,72,75 Details of these studies are listed in Table 1. We omitted loci from our meta-analysis that were not represented in at least four articles.
Figure 1

Study selection process in this meta-analysis.

Abbreviations: CNKI, China National Knowledge Infrastructure; VNTR, variable number tandem repeat.

Table 1

Characteristics of studies that qualified to be included in the meta-analysis

AuthorYearCountryEthnicityControls sourceMean age of control groupGender index (case)Gender index (control)
Kaiser et al422000GermanCaucasianHospital based43.530.830.34
Kohn et al43,a1997IsraelIsraeliHospital based
Kohn et al43,b1997IsraelIsraeliHospital based
Serretti et al44,691999, 2001ItalyCaucasianHospital based47.451.27
Hattori et al452009JapanEast AsianPopulation based46.701.001.00
Tanaka et al461995JapanEast AsianPopulation based45.800.840.56
Nanko et al471993JapanEast AsianPopulation based
Petronis et al481995USA, CanadaCaucasianHospital based
Ohara et al491996JapanEast AsianPopulation based34.400.991.37
Aguirre et al502007MexicoIndianPopulation based40.000.97
Mitsuyasu et al23,c2007JapanEast AsianHospital based50.200.810.76
Daniels et al511994UKCaucasianHospital based49.600.800.68
Sommer et al521993MinnesotaCaucasianPopulation based65.000.441.61
Rao et al531994USACaucasianPopulation based
Hong et al541997TaiwanEast AsianHospital based28.700.680.62
Jonsson et al551996SwedenCaucasianPopulation based38.700.5730.73
Rinetti et al562001MexicoMestizosHospital based
Fujiwara et al571997JapanEast AsianPopulation based
Lung et al582006TaiwanEast AsianPopulation based45.37
Nakamura et al591995JapanEast AsianPopulation based
Lung et al602009TaiwanEast AsianPopulation based
Fresan et al612007MexicoCaucasianPopulation based34.600.4594.23
Zhang et al622003ChinaEast AsianPopulation based42.000.43
Tang et al682001ChinaEast AsianPopulation based33.000.440.40
Liang672005ChinaEast AsianPopulation based26.000.980.98
Zhao et al632005ChinaEast AsianPopulation based34.000.880.88
Zhao et al642006ChinaEast AsianPopulation based29.400.841.00
Chen et al652016ChinaEast AsianHospital based39.190.810.89
Lu et al662003ChinaEast AsianPopulation based65.000.741.22
Serretti et al691999ItalyCaucasianPopulation based
Hong et al701998TaiwanEast AsianHospital based30.2028.700.62
Catalano et al711993ItalyCaucasianHospital based46.9030.001.34
Nakajima et al722007JapanEast AsianPopulation based47.0046.701.00
Okuyama et al221999JapanEast AsianPopulation based47.1047.900.63
Mitsuyasu et al75,d2001JapanEast AsianHospital based51.5050.500.75
Jonsson et al242001SwedenCaucasianPopulation based44.8042.600.80
Pai et al732015IndiaIndianPopulation based
Xing et al182003ChinaEast AsianHospital based41.2041.80
Lai et al742010ChinaEast AsianHospital based40.6043.201.00
Zhong et al762010ChinaEast AsianPopulation based39.2037.501.00
Tsutsumi et al192011JapanEast AsianHospital based47.2042.100.50

Notes: Gender index = female/male.

Ethnicity is Ashkenazi which included Jews whose origin (or whose parents’ origin), was in European countries, apart from the Balkans;

ethnicity is non-Ashkenazi which included Jews whose origin was in North Africa or Asia.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR;

did not include 48 bp VNTR, 12 bp TR, and 120 bp TR.

Results of data analysis

No association between the 48 bp VNTR and schizophrenia risk

Allele frequencies of the 48 bp VNTR are listed in Table 2. Results of pooled analyses are summarized in Table 3, and data from subgroup analyses are depicted in Table 4. We were unable to obtain specific data regarding the number of 7-repeat (7R) alleles in the 48 bp VNTR,44 despite multiple attempts to contact the corresponding author. Thus, this study was omitted from our analysis of an association between 7R and schizophrenia risk. When we conducted a pooled analysis of the remaining 5,316 cases and 4,677 controls, we found that 7R was not associated with schizophrenia risk (Pz=0.349, OR =1.071, 95% CI =0.928–1.236) under a random effects model with a power of 0.271 (Table 3 and Figure S1).35 No association was found in subgroup analysis by ethnicity (ie, Caucasian [Pz=0.238, OR =1.127, 95% CI =0.924–1.375], East Asian [Pz=0.901, OR =0.966, 95% CI =0.560–1.667], Indian [Pz=0.211, OR =0.772, 95% CI =0.514–1.158], Mestizos [Pz=0.310, OR =1.413, 95% CI =0.725–2.754], and Israeli [Pz=0.512, OR =1.164, 95% CI =0.739–1.835]). Moreover, no association of 7R with the risk of schizophrenia was ascertained in subgroup analysis by source of controls. No significant heterogeneity was found in the pooled or subgroup analyses.
Table 2

Allele frequency of 48 bp VNTR polymorphism

AuthorAllele distribution
Allele frequency
Cases (n)
Controls (n)
Cases (n)
Controls (n)
Short (≤4)Long (≥5)Short (≤4)Long (≥5)7ROthers7ROthers
Kaiser et al421,0062701,1823222321,0442821,222
Kohn et al43,a227652238
Kohn et al43,b138517101
Serretti et al44,69709129990212
Hattori et al451,066541,0766021,11861,130
Tanaka et al461346133701402138
Nanko et al47148121521021580162
Petronis et al48772315446217932168
Ohara et al4928620227151828810232
Aguirre et al50120722241144614698240
Mitsuyasu et al23,c406184472714233471
Daniels et al5115953193455216045193
Sommer et al5218248171594318754176
Rao et al5339173191739832
Hong et al5417267860178084
Jonsson et al5518749124284219423129
Rinetti et al563638482631432549
Fujiwara et al57340220034022
Lung et al581,216448461031,2570856
Nakamura et al591891398602020104
Lung et al601,77454838801,8280846
Fresan et al6188542851194795104300
Zhang et al621313145701340152
Tang et al68980403321011,0190342
Liang67176261852541982208
Zhao et al63782467524933216318
Zhao et al64411214013601623173
Chen et al65219492993702680336
Lu et al661555157311590160

Notes:

Ethnicity is Ashkenazi which included Jews whose origin (or whose parents’ origin), was in European countries, apart from the Balkans;

ethnicity is non-Ashkenazi which included Jews whose origin was in North Africa or Asia.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR.

Abbreviations: 7R, 7 repeat; VNTR, variable number tandem repeat.

Table 3

Pooled associations of DRD4 polymorphisms and schizophrenia

LociGenetic modelStudies(n)Statistical modelOR95% CIPzI2PhPe
48 bp VNTRAllele contrast (7R and others)27Random1.0710.928–1.2360.3498.10.3520.727
Allele contrast (S and L)27Random1.1350.988–1.3030.07344.00.0090.151
12 bp TRAllele contrast9Random1.0370.885–1.2150.6590.00.9310.584
Homozygous codominant9Random0.7560.434–1.3170.3230.00.7290.214
Heterozygous codominant9Random1.1170.930–1.3410.2360.00.6440.077
Dominant9Random1.0830.907–1.2930.3770.00.8340.192
Recessive9Random0.7240.417–1.2590.2530.00.6810.180
120 bp TRAllele contrast6Random1.1891.040–1.3580.01137.10.1590.701
Homozygous codominant6Random1.2910.892–1.8680.17647.20.0920.213
Heterozygous codominant6Random1.0100.744–1.3720.94922.90.2620.223
Dominant6Random1.1520.837–1.5840.38634.30.1790.176
Recessive6Random1.2751.081–1.5040.00433.10.1870.756
−521 T>CAllele contrast10Random1.1131.024–1.2090.01116.20.2940.628
Homozygous codominant10Random1.2401.041–1.4770.01618.70.2710.765
Heterozygous codominant10Random1.1050.971–1.2560.12913.80.3160.751
Dominant10Random1.1361.004–1.2890.04319.20.2660.620
Recessive10Random1.1771.024–1.3530.0210.00.4670.812
−616 G>CAllele contrast6Random1.1030.991–1.2260.0716.70.3730.604
Homozygous codominant6Random0.6370.469–0.8660.00446.40.0960.488
Heterozygous codominant6Random1.1230.974–1.2960.1100.00.9860.169
Dominant6Random1.1330.991–1.2950.0680.00.8890.965
Recessive6Random1.1400.840–1.5480.40048.30.0850.338
−376 C>TAllele contrast4Random1.1240.940–1.3440.1980.00.7070.200
Homozygous codominant4Random0.8540.416–1.7490.6650.00.9960.456
Heterozygous codominant4Random0.7300.351–1.5200.4010.00.9930.911
Dominant4Random0.8200.401–1.6760.5860.00.9940.583
Recessive4Random1.1710.962–1.4250.1170.00.7070.214

Notes: L, long allele; S, short allele.

Abbreviations: CI, confidence interval; OR, odds ratio; 7R, 7 repeat; TR, tandem repeat; VNTR, variable number TR.

Table 4

Subgroup associations of DRD4 polymorphisms with schizophrenia

PolymorphismSubgroup analysisStudies (n)OR95% CIPzPhI2
48 bp VNTR (7R and others)Overall221.0950.953–1.2590.3490.3528.1
Ethnicity
Caucasian71.1270.924–1.3750.2380.19530.6
East Asian110.9660.560–1.6670.9010.4133.1
Indian10.7720.514–1.1580.211
Mestizos11.4130.725–2.7540.310
Israeli21.1640.739–1.8350.5120.4410.0
Source of controls
Population based151.0310.796–1.3360.8160.24218.9
Hospital based71.0700.917–1.2480.3930.4900.0
48 bp VNTR (S and L)Overall261.1471.003–1.3120.0730.00944.0
Ethnicity
Caucasian81.0370.882–1.2190.6620.17332.0
East Asian161.1650.919–1.4750.2060.01449.1
Indian11.1790.815–1.7050.382
Mestizos11.9491.007–3.7700.048
Israeli
Source of controls
Population based181.1650.977–1.3900.0890.06935.4
Hospital based81.0910.862–1.3810.4680.01659.2
12 bp TROverall101.0830.907–1.2930.3770.8340.0
Ethnicity
Indian10.9270.533–1.6120.788
Caucasian30.7870.509–1.2180.2830.6110.0
East Asian41.1780.949–1.4620.1370.9100.0
Israeli21.3120.642–2.6790.4560.6100.0
Source of controls
Population based41.1330.908–1.4130.2700.7100.0
Hospital based61.0120.706–1.4500.9490.27221.5
120 bp TROverall61.2751.081–1.5040.0040.18733.1
Ethnicity
East Asian51.3171.108–1.5650.0020.19633.9
Indian10.9790.629–1.5240.924
Source of controls
Population based21.1020.892–1.3600.3680.5510.0
Hospital based41.3191.134–1.7080.0020.22531.2
−521 T>COverall101.1771.024–1.3530.0210.4670.0
Ethnicity
Caucasian11.1360.670–1.9250.636
East Asian81.2181.050–1.4130.0090.5710.0
Indian10.7150.395–1.2930.267
Source of controls
Population based61.1880.972–1.4510.0920.25823.5
Hospital based41.1430.901–1.4500.2700.5610.0
−616 G>COverall61.1330.991–1.2950.0680.8890.0
Source of controls
Population based21.1170.915–1.3640.2750.9660.0
Hospital based41.1460.956–1.3170.1400.6450.0
−376 C>TOverall41.1710.962–1.4250.1170.7070.0
Source of controls
Population based11.0790.805–1.4470.611
Hospital based31.2520.960–1.6320.1170.6530.0

Notes: L, long allele; S, short allele.

Abbreviations: CI, confidence interval; OR, odds ratio; 7R, 7 repeat; TR, tandem repeat; VNTR, variable number TR.

To incorporate data from the study of Serretti et al,44 the 48 bp VNTR was classified into S (short allele, ≤4 TRs) and L (long allele, ≥5 TRs) groups. In the study by Kohn et al,43 the 48 bp VNTR data could not be categorized into S and L groups, so this study was omitted from the analysis. The remaining data comprised 5,637 cases and 5,074 controls (Table 3 and Figure S2). Results of a pooled analysis indicated no relationship between this polymorphism and schizophrenia risk (Pz=0.073, OR =1.135, 95% CI =0.988–1.303) with a power of 0.909. No association was found in the subgroup analysis by source of control or by ethnicity, except for Mestizos (Pz=0.048, OR =1.949, 95% CI =1.007–3.77). Significant heterogeneity was found in the pooled analysis (Pe=0.009, I2=44%) and in the subgroup analysis by ethnicity in the East Asian subgroup (Pe=0.014, I2=49.1%) and by source of control in the hospital-based subgroup (Pe=0.016, I2 =59.2%).

No association between the 12 bp TR and schizophrenia risk

To evaluate the relationship between the 12 bp TR and the risk of schizophrenia, 1,517 cases and 1,746 controls were included (Table 5 and Figures S3–S7). Allele groups were defined as in (ie, inserted) and de (ie, deleted). In the dominant model,34,35 the pooled OR using a random effects model was 1.083 (Pz=0.377, 95% CI =0.907–1.293) with a power of 0.154 (Table 3). No association was found in subgroup analysis by ethnicity or by source of controls (Table 4). No significant heterogeneity was observed in the pooled or subgroup analyses.
Table 5

Genotype distribution and allele frequency of 12 bp TR

AuthorGenotype distribution
PHWEAllele frequency
Cases, n
Controls, n
Case (%)
Controls (%)
in/inin/dede/dein/inin/dede/deindeinde
Petronis et al484361802000.26792.008.0090.0010.00
Ohara et al4914490116500.81697.062.9497.932.07
Serretti et al44,691842802253710.6890.930.070.930.07
Aguirre et al5048341755540.10278.3121.6976.4923.51
Mitsuyasu et al23,a13656517653100.02783.2016.7084.7015.30
Kohn et al43,b40901261900.31194.006.0091.009.00
Kohn et al43,c444153600.41694.006.0094.006.00
Hong et al546810235700.55691.258.7591.708.30
Catalano et al71763069600.71898.101.9096.004.00
Nakajima et al7241314012431119180.00885.5014.5086.5013.50

Notes: PHWE, P-value of Hardy–Weinberg equilibrium.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR.

Ethnicity is Ashkenazi which included Jews whose origin (or whose parents’ origin), was in European countries, apart from the Balkans;

ethnicity is non-Ashkenazi which included Jews whose origin was in North Africa or Asia.

Abbreviations: de, deleted; in, inserted; TR, tandem repeat.

Genotype L/L of the 120 bp TR might be a risk factor for schizophrenia

In a random model, a pooled analysis was conducted (1,912 cases and 1,836 controls) to evaluate the relationship between genotype L/L of the 120 bp TR and schizophrenia risk (Table 6 and Figures S8–S12). In the recessive model,34,35 genotype L/L was found to be a potential risk factor for schizophrenia (Pz=0.004, OR =1.275, 95% CI =1.081–1.504) with a power of 0.959 (Table 3). Findings from subgroup analysis indicated significant associations in East Asian (Pz=0.002, OR =1.317, 95% CI =1.108–1.565) and hospital-based subgroups (Pz=0.002, OR =1.319, 95% CI =1.134–1.708) (Table 4). No association was found for the other subgroups, and no significant heterogeneity was ascertained in the pooled or subgroup analyses.
Table 6

Genotype distribution and allele frequency of 120 bp TR

AuthorGenotype distribution
PHWEAllele frequency
Cases, n
Controls, n
Cases (%)
Controls (%)
S/SS/LL/LS/SS/LL/LSLSL
Mitsuyasu et al23,a107512913871390.89877.8022.2076.4023.60
Pai et al732377871161640.50132.9067.1030.5069.50
Xing et al1820771132898800.81627.9072.1037.4062.60
Nakajima et al7224183362331923450.36320.0080.0023.0078.00
Tsutsumi et al1924138248161582110.04122.6877.3224.6875.32
Lai et al742816113340166940.01333.7066.3041.0059.00

Notes: L, long allele; PHWE, P-value of Hardy–Weinberg equilibrium; S, short allele.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR.

Abbreviation: TR, tandem repeat.

The −521 CC variant might be a risk factor for schizophrenia

Pooled and subgroup analyses were performed in a random model with 2,927 cases and 2,938 controls (Table 7 and Figures S13–S17). In the recessive model, −521 CC was found to be a potential risk factor for schizophrenia in the pooled analysis (Pz=0.021, OR =1.177, 95% CI =1.024–1.353) with a power of 0.656 (Table 3). In subgroup analyses by ethnicity and source of controls, the association was only detected in the East Asian subgroup (Pz=0.009, OR =1.218, 95% CI =1.050–1.413) (Table 4). No significant heterogeneity was noted in the pooled or subgroup analyses.
Table 7

Genotype distribution and allele frequency of −521 C>T

AuthorGenotype distribution
PHWEAllele frequency
Cases, n
Controls, n
Cases (%)
Controls (%)
CCCTTTCCCTTTCTCT
Okuyama et al22581256938142890.11948.0052.0041.0059.00
Mitsuyasu et al23,a331066731115930.62341.7558.2537.0562.95
Mitsuyasu et al75,b251226125110750.10941.3058.7038.1061.90
Lung et al5880320230482041730.29438.1061.9035.3064.70
Jonsson et al24237435602051180.06145.5054.5042.0058.00
Pai et al732792622677290.05540.3059.7048.9051.10
Xing et al18371037025111700.05942.1057.9039.1060.90
Nakajima et al72106270190892851950.36843.0058.0041.0059.00
Lai et al7487115120819512444.8855.1242.8357.17
Zhong et al7662786053648345.9154.0942.5057.50

Notes: PHWE, P-value of Hardy–Weinberg equilibrium.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR;

did not include 48 bp VNTR, 12 bp TR, and 120 bp TR.

Abbreviation: TR, tandem repeat.

No association between −616 C>G and the risk of schizophrenia

In a random model, pooled (Table 3) and subgroup (Table 4) analyses were performed with 1,735 cases and 1,724 controls (Table 8 and Figures S18–S22). Using the dominant model, results of the pooled analysis indicated a lack of an association between −616 C>G and schizophrenia risk (Pz=0.068, OR =1.133, 95% CI =0.991–1.295) with a power of 0.45. All cases and controls in this analysis corresponded to the East Asian subgroup. Findings from a subgroup analysis of source of controls showed no association. There was no significant heterogeneity in the pooled or subgroup analyses.
Table 8

Genotype distribution and allele frequency of −616 C>G

AuthorGenotype distribution
PHWEAllele frequency
Cases, n
Controls, n
Cases (%)
Controls (%)
GGGCCCGGGCCCGCGC
Mitsuyasu et al23,a102891911298300.24369.8030.2067.1032.90
Mitsuyasu et al75,b89893010085250.29664.2035.8067.9032.10
Xing et al18831002791102130.02563.3036.7068.9031.10
Nakajima et al7226724849285224590.13469.0031.0069.5029.50
Lai et al7416111348166102320.00967.5532.4572.3327.67
Zhong et al76112773110768250.01068.4131.5970.5029.50

Notes: PHWE, P-value of Hardy–Weinberg equilibrium.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR;

did not include 48 bp VNTR, 12 bp TR, and 120 bp TR.

Abbreviation: TR, tandem repeat.

No association of the −376 C>T variant with schizophrenia

We assessed the relationship between the −376 C>T polymorphism and schizophrenia risk in pooled and subgroup analyses of 1,191 cases and 1,215 controls in a random model (Tables 3, 4, and 9 and Figures S23–S27). In the recessive model, −376 C>T was not associated with the risk of schizophrenia in a pooled analysis (Pz=0.117, OR =1.171, 95% CI =0.962–1.425) with a power of 0.357 (Table 3). No association was detected in subgroup analyses by ethnicity or source of controls (Table 4). No significant heterogeneity was ascertained in the pooled or subgroup analyses.
Table 9

Genotype distribution and allele frequency of −376 C>T

AuthorGenotype distribution
PHWEAllele frequency
Cases, n
Controls, n
Cases (%)
Controls (%)
CCCTTTCCCTTTCTCT
Mitsuyasu et al23,a1773411934310.3991.508.5090.459.45
Mitsuyasu et al75,b1792811684110.36792.800.7289.801.02
Xing et al741376671277450.12681.0019.0079.6020.40
Nakajima et al72453100844710870.86990.0010.0089.5010.50

Notes: PHWE, P-value of Hardy–Weinberg equilibrium.

Included 48 bp VNTR, 12 bp TR, and 120 bp TR;

did not include 48 bp VNTR, 12 bp TR, and 120 bp TR.

Abbreviation: TR, tandem repeat.

Sensitivity analysis

The results of sensitivity analyses showed that the combined ORs did not change significantly for meta-analyses in which each study was omitted singly. Thus, the results were considered stable and reasonable.

Publication bias

Potential publication bias was found in funnel plots in which the standard error of log(OR) of each study was plotted against its log(OR). No evidence of publication bias was found in pooled analyses (Figures 2–8).
Figure 2

Funnel plot analysis for the detection of publication bias in the association between the 48 bp VNTR (7R vs others) and schizophrenia.

Abbreviations: OR, odds ratio; 7R, 7 repeat; VNTR, variable number tandem repeat.

Figure 3

Funnel plot analysis for the detection of publication bias in the association between 48 bp VNTR (L vs S) and schizophrenia.

Notes: L, long allele; S, short allele.

Abbreviations: OR, odds ratio; VNTR, variable number tandem repeat.

Figure 4

Funnel plot analysis for the detection of publication bias in the association between 12 bp TR and schizophrenia.

Abbreviations: OR, odds ratio; TR, tandem repeat.

Figure 5

Funnel plot analysis for the detection of publication bias in the association between 120 bp TR and schizophrenia.

Abbreviations: OR, odds ratio; TR, tandem repeat.

Figure 6

Funnel plot analysis for the detection of publication bias in the association between −521 C>T and schizophrenia.

Abbreviation: OR, odds ratio.

Figure 7

Funnel plot analysis for the detection of publication bias in the association between −616 C>G and schizophrenia.

Abbreviation: OR, odds ratio.

Figure 8

Funnel plot analysis for the detection of publication bias in the association between −376 C>T and schizophrenia.

Abbreviation: OR, odds ratio.

Discussion

Results of other studies have associated the 7R polymorphism with ADHD in a meta-analysis77 and with increased brain activity to unpleasant stimuli.78 We sought to determine whether 7R was also associated with schizophrenia risk. Findings of our pooled and subgroup analyses indicated that 7R was not associated with the risk of schizophrenia. Similarly, we found that the 48 bp VNTR (classified into L and S groups) was not associated with schizophrenia risk in most of our pooled and subgroup analyses, which is consistent with previously published meta-analyses.29,30 Only in the Mestizos subgroup, an association was detected. Our literature search yielded one article addressing Mestizos patients, and this article had an insufficient sample size to verify this association. Hence, the utility of the 48 bp VNTR as a means to assess schizophrenia risk in the Mestizo population warrants additional investigation. Lung et al28 demonstrated an association between the 48-bp VNTR and schizophrenia risk but noted that sample bias might have led to a false-positive result.29 We determined that the L/L genotype of the 120 bp TR and the −521 CC variant might be risk factors for schizophrenia among East Asians; this relationship was not found in other populations. This discrepancy between East Asians and other populations might have resulted from the small sample sizes of the other ethnicity subgroups, the distinct genetic backgrounds, or different demographic or lifestyle factors within the subgroups. The statistical power for the pooled analysis of the 12 bp TR, the −616 C>G polymorphism, and the −376 C>T variant was low. Therefore, these results will need to be validated further. In a study of linkage disequilibrium (LD) of DRD4 that included 17 polymorphisms,23 the authors found no LD between −521 T>C and 120 bp TR (r2=0.00). For all pairs of −616 C>G, −376 C>T, 12 bp TR, and 48 bp VNTR, no significant LD was observed. Multiple meta-analyses have been conducted to date on the association between DRD4 and schizophrenia. The current meta-analysis included some new studies, involved a large sample size, and had high statistical power. We addressed six loci in DRD4; no other meta-analysis involving four of these loci (12 bp TR, 120 bp TR, −616 C>G, and −376 C>T) has been carried out. Moreover, we conducted subgroup analysis by ethnicity and by source of controls and included data both from SZGene and the CNKI databases. The results described herein should be interpreted with caution. The present study was limited by a lack of exact allele/genotype frequencies for some of the included articles, despite our efforts to acquire this information from the corresponding authors. Therefore, these articles were omitted from the meta-analysis. Second, controls in some of the articles did not conform to Hardy–Weinberg equilibrium because of sample bias. Third, case–control studies were included in this meta-analysis, but family-based studies were not.77 The ability to exploit cosegregation of variants with disease within families helps distinguish causal from noncausal factors. Family-based studies are more powerful to detect risk factors of diseases.79 Moreover, we did not address possible interactions between the six loci and epigenetic factors. An association between DRD4 and schizophrenia risk was detected based on case–control studies rather than on functional ones. Our results will need to be validated on a functional level.

Conclusion

The −521 CC variant and the L/L genotype of the 120-bp TR might be risk factors for schizophrenia. No association with schizophrenia was detected for the 48 bp VNTR, the 12 bp TR, −616 C>G, or −376 C>T. Our results may provide an informative reference for subsequent genome-wide association studies.
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2.  Dopamine D4 receptor polymorphism and schizophrenia.

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Journal:  Lancet       Date:  1993-03-13       Impact factor: 79.321

3.  Dopamine D4 receptor 48-bp repeat polymorphism: no association with response to antipsychotic treatment, but association with catatonic schizophrenia.

Authors:  R Kaiser; M Könneker; M Henneken; M Dettling; B Müller-Oerlinghausen; I Roots; J Brockmöller
Journal:  Mol Psychiatry       Date:  2000-07       Impact factor: 15.992

4.  A genetic polymorphism in the promoter region of DRD4 associated with expression and schizophrenia.

Authors:  Y Okuyama; H Ishiguro; M Toru; T Arinami
Journal:  Biochem Biophys Res Commun       Date:  1999-05-10       Impact factor: 3.575

5.  Dopamine D4 receptor variants in unrelated schizophrenic cases and controls.

Authors:  S S Sommer; T J Lind; L L Heston; J L Sobell
Journal:  Am J Med Genet       Date:  1993-07-15

6.  Phosphate-Binding Agents in Adults With CKD: A Network Meta-analysis of Randomized Trials.

Authors:  Suetonia C Palmer; Sharon Gardner; Marcello Tonelli; Dimitris Mavridis; David W Johnson; Jonathan C Craig; Richard French; Marinella Ruospo; Giovanni F M Strippoli
Journal:  Am J Kidney Dis       Date:  2016-07-22       Impact factor: 8.860

7.  Polymorphisms in the dopamine D4 receptor gene and attention-deficit hyperactivity disorder.

Authors:  Jonathan Mill; Naomi Fisher; Sarah Curran; Sandra Richards; Eric Taylor; Philip Asherson
Journal:  Neuroreport       Date:  2003-08-06       Impact factor: 1.837

8.  Repeat length variation in the dopamine D4 receptor gene shows no evidence of association with schizophrenia.

Authors:  J Daniels; J Williams; R Mant; P Asherson; P McGuffin; M J Owen
Journal:  Am J Med Genet       Date:  1994-09-15

9.  Genetic associations with schizophrenia: meta-analyses of 12 candidate genes.

Authors:  Jiajun Shi; Elliot S Gershon; Chunyu Liu
Journal:  Schizophr Res       Date:  2008-08-20       Impact factor: 4.939

10.  Analysis of the D4 dopamine receptor gene variant in an Italian schizophrenia kindred.

Authors:  F Macciardi; A Petronis; H H Van Tol; C Marino; M C Cavallini; E Smeraldi; J L Kennedy
Journal:  Arch Gen Psychiatry       Date:  1994-04
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Authors:  Feng-Ling Xu; Mei Ding; Xue Wu; Yong-Ping Liu; Xi Xia; Jun Yao; Bao-Jie Wang
Journal:  J Mol Neurosci       Date:  2019-08-22       Impact factor: 3.444

Review 2.  Revisiting tandem repeats in psychiatric disorders from perspectives of genetics, physiology, and brain evolution.

Authors:  Xiao Xiao; Chu-Yi Zhang; Zhuohua Zhang; Zhonghua Hu; Ming Li; Tao Li
Journal:  Mol Psychiatry       Date:  2021-10-14       Impact factor: 15.992

3.  Polymorphism rs1801516 (G > A) in the ATM gene is not associated with overall cancer risk: an updated meta-analysis.

Authors:  Yueting Li; Pengxu Shi; Daqing Jiang
Journal:  J Int Med Res       Date:  2020-07       Impact factor: 1.671

4.  Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes.

Authors:  Sarah E Morgan; Jakob Seidlitz; Kirstie J Whitaker; Rafael Romero-Garcia; Nicholas E Clifton; Cristina Scarpazza; Therese van Amelsvoort; Machteld Marcelis; Jim van Os; Gary Donohoe; David Mothersill; Aiden Corvin; Andrew Pocklington; Armin Raznahan; Philip McGuire; Petra E Vértes; Edward T Bullmore
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-19       Impact factor: 11.205

5.  The XRCC4 rs1805377 polymorphism is not associated with the risk of cancer: An updated meta-analysis.

Authors:  Xin-Yuan Zhang; Xiao-Han Wei; Bao-Jie Wang; Jun Yao
Journal:  J Int Med Res       Date:  2020-06       Impact factor: 1.671

6.  The presence of polymorphisms in genes controlling neurotransmitter metabolism and disease prognosis in patients with prostate cancer: a possible link with schizophrenia.

Authors:  Gennady M Zharinov; Sergei E Khalchitsky; Alexandre Loktionov; Marina V Sogoyan; Yulia V Khutoryanskaya; Natalia Yu Neklasova; Oleg A Bogomolov; Ilya V Smirnov; Marina P Samoilovich; Vladimir N Skakun; Sergei V Vissarionov; Vladimir N Anisimov
Journal:  Oncotarget       Date:  2021-03-30

7.  Association between the SLC6A4 gene and schizophrenia: an updated meta-analysis.

Authors:  Feng-Ling Xu; Bao-Jie Wang; Jun Yao
Journal:  Neuropsychiatr Dis Treat       Date:  2018-12-28       Impact factor: 2.570

8.  ATM rs189037 (G > A) polymorphism increased the risk of cancer: an updated meta-analysis.

Authors:  Zhi-Liang Zhao; Lu Xia; Cong Zhao; Jun Yao
Journal:  BMC Med Genet       Date:  2019-02-01       Impact factor: 2.103

9.  Association between RGS4 gene polymorphisms and schizophrenia: A protocol for systematic review and meta-analysis.

Authors:  Feng-Ling Xu; Jun Yao; Bao-Jie Wang
Journal:  Medicine (Baltimore)       Date:  2021-11-05       Impact factor: 1.817

Review 10.  Mutations in DISC1 alter IP3R and voltage-gated Ca2+ channel functioning, implications for major mental illness.

Authors:  Ann R Rittenhouse; Sonia Ortiz-Miranda; Agata Jurczyk
Journal:  Neuronal Signal       Date:  2021-12-07
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