Abstract
The aim of this study was to explore whether the candidate gene polymorphisms contribute to fibromyalgia susceptibility. The authors conducted a meta-analysis on associations between serotonin transporter (5-HTT) gene-linked polymorphic region (5-HTTLPR) S/L allele, catechol-O-methltransferase (COMT) val158Met, and serotonin 2A (5-HT2A) receptor 102T/C polymorphisms and fibromyalgia susceptibility as determined using the following: (1) allele contrast, (2) recessive, (3) dominant models, and (4) contrast of homozygotes. We also performed a systematic review with available data of the candidate genes. A total of 21 separate comparisons were considered in this systematic review and meta-analysis. Seventeen candidate genes and over 35 different polymorphisms were identified in studies on fibromyalgia susceptibility. Meta-analysis of the 5-HTTLPR S/L allele and COMT val158Met failed to reveal any association with fibromyalgia. However, meta-analysis of the C allele, CC + CT genotype, and CC versus TT genotype of the 5-HT2A receptor 102T/C polymorphism showed significant association with fibromyalgia. The overall OR of the association between the C allele and fibromyalgia was 1.333 (95% CI = 1.053–1.688, P = 0.017). The ORs for the CC + CT genotype, and CC versus TT genotype showed the same pattern as that observed for the C allele (OR = 1.541, 95% CI = 1.032–2.303, P = 0.035; OR = 1.838, 95% CI = 1.151–2.936, P = 0.011). This meta-analysis demonstrates that the 5-HT2A receptor 102T/C polymorphism confers susceptibility to fibromyalgia. In contrast, no association was found between the 5-HTTLPR S/L allele, COMT val158Met, and susceptibility to fibromyalgia.
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Introduction
Fibromyalgia is a chronic, generalized pain condition, defined by widespread musculoskeletal pain for more than 3 months and the presence of ≥11 tender point [1]. Fibromyalgia is characterized by persistent widespread pain, fatigue, and sleep disturbance, and often accompanied by a variety of associated symptoms such as irritable bowel syndrome, headache, and mood disorders [2]. Fibromyalgia is considered a disorder of pain regulation and the result of a central nervous system malfunction that causes amplification of pain transmission and interpretation [3]. Although the etiology of fibromyalgia remains unclear, it is believed that genetic and environmental factors may play significant roles in the development of fibromyalgia [4]. Significant familial aggregation, convincing demonstrations of genetic linkages and associations demonstrate an underlying genetic basis for fibromyalgia [5]. Many studies have examined the potential contribution of the candidate gene polymorphisms to fibromyalgia susceptibility, but these studies have produced diverse results [6–23].
Serotonin (5-hydroxytrptamine, 5-HT) is a key neurotransmitter in the central nervous system. The serotonin transporter (5-HTT) gene has been reported to be involved in the pathogenesis of major psychiatric disorders, including anxiety, depression, schizophrenia, and autism [24]. A 44-bp insertion or deletion in the 5’-flanking promoter region of HTT (5-HTT gene-linked polymorphic region of 5-HTTLPR) creates a short (S) and a long (L) allele. The S and L alleles have 14 and 16 repeat elements, respectively [25]. The short variant designated ‘S’ is associated with reduced transcriptional efficiency of the 5-HTT gene promoter, resulting in lowered 5-HT reuptake activity compared to the long form (L) variant. The effect of serotonin is mediated by different 5-HT receptor subtypes [26, 27]. The 5-HT2A receptor is located in cortex, caudate nucleus, and all the intestines [28], and it may play a role in the etiology of several neuropsychiatric diseases and pain perception [24]. A silent polymorphism in the 5-HT2A receptor gene is defined by a T to C transition at position 102 [23]. Although the 5-HT2A 102T/C polymorphism does not result in alteration of the amino acid sequence of the protein, a strong association was found between the 102T/C polymorphism and psychiatric illness such as mood disorder and schizophrenia [29]. Catecholamines (norephinephrine, epinephrine, and dopamine) are the sympathetic neurotransmitters. Catechol-O-methyltransferase (COMT) is the major catecholamine-degrading enzyme. COMT has been implicated in the modulation of pain [30]. COMT val158Met is a single nucleotide polymorphism (SNP), which consists of a G→A transition at codon 158, the results of which is an amino acid change. Val/Val, Val/Met, and Met/Met genotypes are associated with high, intermediate, and low activity of the enzyme, respectively [31].
Individual studies based on small sample sizes have insufficient statistical power to detect positive associations and are incapable of demonstrating the absence of an association. Furthermore, the low statistical powers of individual studies could explain contradictory results. Meta-analysis integrates previous research, and increases statistical power and resolution by pooling the results of independent analyzes [32]. In the present study, we explored whether the candidate gene polymorphisms contribute to fibromyalgia susceptibility by applying a meta-analysis approach and by systematically reviewing available data.
Methods
Identification of eligible studies and data extraction
We performed a search for studies that examined associations between candidate gene polymorphisms and fibromyalgia. MEDLINE citation was used to identify articles in which candidate gene polymorphisms were analyzed in patients with fibromyalgia. Combinations of keywords, such as, ‘polymorphism’ and ‘fibromyalgia’ were entered as both Medical Subject Headings (MeSH) and as text words. References in these identified studies were also investigated to identify additional studies not indexed by MEDLINE. Genetic association studies that determined the distributions of the candidate gene polymorphisms in fibromyalgia cases and controls were eligible for inclusion. The study inclusion criteria were the following: (1) published before March 2010; (2) the inclusion of original data; and (3) the provision of enough data to calculate odds ratios (ORs). When a study reported results on different populations, we treated the results obtained separately during the meta-analysis.
The following information was extracted from each study: author, year of publication, ethnicity of the study population, demographics, number of cases, and controls for the polymorphisms. Allele frequencies were calculated from genotype distributions.
Evaluation of publication bias
Funnel plots are often used to detect publication bias. However, it is a limitation of funnel plotting that a large range of studies with varying sizes and subjective judgments, are required. It was difficult to correlate the funnel plot, which is usually used to detect publication bias, as the number of studies included in the analysis was small. Hence, we evaluated publication bias using Egger’s linear regression test [33], which measures funnel plot asymmetry using a natural logarithm scale of ORs.
Evaluations of statistical associations
We performed meta-analyzes using the following: (1) allelic contrast and (2) homozygote contrast, (3) recessive, and (4) dominant models. Point estimates of risks, ORs, and 95% confidence intervals (CI) were calculated for each study. We also assessed within- and between-study variations or heterogeneities using Cochran’s Q-statistics, a heterogeneity test that assesses the null hypothesis that, all studies were evaluating the same effect. In addition, we quantified the effect of heterogeneity using I 2 values. I 2 ranges between 0 and 100% and represents the proportion of between-study variability that can be attributed to heterogeneity rather than chance [34]. I 2 values of 25, 50, and 75% are referred to as low, moderate, and high estimates. Fixed effects assume that the genetic factors have similar effects on fibromyalgia susceptibility across all investigated studies, and that observed variations between studies are caused by chance alone [32]. The random effects model assumes that different studies show substantial diversity, and assesses both within-study sampling errors and between-study variances [35]. If study groups show no heterogeneity, the fixed and random effects models produce similar results, and if not, the random effects model usually produces wider CIs than the fixed effects model. The random effects model is used in the presence of significant between-study heterogeneity. Statistical manipulations were undertaken using a Comprehensive Meta-Analysis computer program (Biosta, Englewood, NJ, USA).
Results
Studies included in the meta-analysis
Thirty-three studies were identified by electronic or manual searching, and twenty-two were selected for a full-text review based on title and abstract details [5–23, 36–38]. Four studies were excluded because they were reviews [5, 36, 37] or because they did not concern fibromyalgia [38]. Thus, eighteen studies met the inclusion criteria [6–23]. Of these, three studies contained data on two different groups [7, 12, 20]. In the present study, we analyzed these groups independently. Therefore, a total of 21 separate comparisons were considered in this systematic review and meta-analysis. Relevant features of the studies included in the systematic review and meta-analysis are provided in Table 1. Seventeen candidate genes and over 35 different polymorphisms were identified in studies for fibromyalgia susceptibility (Table 2). Candidate gene studies in fibromyalgia encompass 5 5-HTTLPR S/L allele, 5 COMT val158Met, and 3 5-HT2A receptor 102T/C polymorphisms (Table 1). All studies of three polymorphisms showed the genotype and allele frequencies of the polymorphisms except for Cohen et al.’s study giving only allele data [20]. There was one study for adrenergic receptor A1A (ADRA1A) [7], adrenergic receptor B2 (ADRB2) [7], adrenergic receptor B3 (ADRB3) [7], dopamine-D3-receptor (DRD3) [8], dopamine-D4-receptor (DRD4) [17], dopamine transporter (DAT) [10], 5-HT2A receptor (rs6311) [11], COMT (rs6269, rs4633, rs4818, rs4680, rs20907, and rs16559) [12], monoamine oxidase-A (MAO-A) [promoter variable number tandem repeat (VNTR), 941G/T] [13], monoamine oxidase-B (MAO-B) [13], endothelial nitric oxide synthase (eNOS) [14], tachykinin NK1 (substance P) receptor (TACR1) [10], alpha-1 antitrypsin (AAT) [10], interleukin-4 (IL-4) [15], 5-HTTLPR (intron2 VNTR) [19], 5-HT receptor 3A, and 3B (HTR3A and 3B) (some SNPs) [16], respectively (Tables 1, 2). We performed a meta-analysis on the association of the polymorphisms with fibromyalgia if there were at least two comparisons.
Meta-analysis of the association between the 5-HTTLPR, COMT, and 5-HT2A receptor polymorphism and fibromyalgia
The summary of meta-analysis for the candidate gene polymorphisms with fibromyalgia is shown in Table 3. Meta-analysis was performed for the 5-HTTLPR S/L allele [6, 19, 20, 22], COMT val158Met [8, 9, 11, 12], and 5-HT2A receptor 102T/C polymorphisms [11, 21, 23]. Meta-analysis of the SS genotype (recessive effect), SS and SL genotype (dominant effect), SS versus LL genotype, and S allele of 5-the HTTLPR revealed no association with fibromyalgia (Fig. 1). And meta-analysis of the MM genotype, the MM and MV genotypes, the MM versus the VV genotype, and of the M allele of the COMT failed to reveal any association with fibromyalgia.
In contrast, meta-analysis of the C allele, CC + CT genotype, and CC versus TT genotype of the 5-HT2A receptor 102T/C polymorphism showed significant association with fibromyalgia (Figs. 1, 2). The overall OR of the association between the C allele and fibromyalgia was 1.333 (95% CI = 1.053–1.688, P = 0.017). The ORs for the CC + CT genotype, and CC versus TT genotype showed the same pattern as that observed for the C allele (OR = 1.541, 95% CI = 1.032–2.303, P = 0.035; OR = 1.838, 95% CI = 1.151–2.936, P = 0.011). Meta-analysis of the CC versus CT + TT genotype also showed the same trend as that shown by the 5-HT2A receptor 102T/C polymorphism C allele (OR = 1.380, 95% CI = 0.961–1.981, P = 0.081).
Candidate gene studies involved in the susceptibility to fibromyalgia
Among the candidate gene studies of the fibromyalgia except for 5-HTTLPR S/L allele, COMT val158Met, and 5-HT2A receptor 102T/C polymorphisms, the ADRB2 AC haplotype (P = 0.04), ADRB2 AC haplotype (P = 0.05), ADRA1A rs1383914 (P = 0.01), COMT rs4818 (P = 0.001), DRD4 exon3 VNTR (P = 0.034), and MAO-A allele3 (P = 0.033) showed a significant association with fibromyalgia. However, other gene polymorphisms such as ADRB3, DRD3, DAT, 5-HT2A receptor (rs6311), COMT (rs6269, rs4633, rs4818, rs4680, rs20907, and rs16559), MAO-B, eNOS, TACR1, AAT, IL-4, 5-HTTLPR (intron2 VNTR), HTR3A, and 3B (some SNPs) did not reveal any association with fibromyalgia susceptibility.
Heterogeneity and publication bias
There was no between-study heterogeneity during the meta-analyzes of the 5-HT2A receptor polymorphisms. Some heterogeneity was found in the meta-analyzes of the C versus T allele of the COMT and the SS versus SL + LL of the 5-HTTLPR. Egger’s regression test showed no evidence of publication bias in this meta-analysis of the polymorphisms (Egger’s regression test P values >0.1). The distributions of the genotypes in normal control groups were consistent with the H–W equilibrium, except for the studies by Tander et al. [11] and Cohen-2 et al. [20] Deviation from the H–W equilibrium among controls implies potential bias during control selection, or genotyping errors, but excluding this study that did not produce H–W equilibrium among controls, did not materially affect our results.
Discussion
Candidate gene studies require large samples to achieve adequate statistical power and replicable results [39]. Nonetheless, a lot of published candidate gene studies in fibromyalgia have used relatively small samples. This meta-analysis and systematic review revealed the paucity of data about the association of candidate gene polymorphisms with fibromyalgia.
Studies have been done on roles of polymorphism of the genes in the serotoninergic, catecholaminergic, and dopaminergic systems in fibromyalgia. We combined the evidence on the association of the 5-HTTLPR S/L allele, COMT val158Met, and 5-HT2A receptor 102T/C polymorphisms and susceptibility of fibromyalgia. The results of this meta-analysis provide evidence of an association of the 5-HT2A receptor 102T/C polymorphisms with fibromyalgia susceptibility. However, in this meta-analysis, no association was found between the 5-HTTLPR S/L allele and COMT val158Met polymorphism and fibromyalgia.
Serotonin is a neurotransmitter that participates in many physiological processes such as sleep, appetite, thermoregulation, pain perception, hormone secretion, and sexual behavior [24]. Dysregulation of the serotonergic system has been related in many psychiatric diseases. Fibromyalgia is associated with decreased levels of serotonin and serotonin metabolites in serum and the central nervous system, as well as with a decreased rate of serotonin transport into the cerebrospinal fluid [40, 41]. This meta-analysis failed to show an association of the 5-HTTLPR S/L polymorphism with fibromyalgia susceptibility, but our study found an association of the 5-HT2A receptor 102T/C polymorphisms with fibromyalgia susceptibility, suggesting the serotonergic system may play a role in the pathogenesis of fibromyalgia. We found an association of the C allele, CC + CT genotype, and CC homozygosity of the 5-HT2A receptor 102T/C polymorphism with fibromyalgia. In human postmortem studies, the production of 5-HT2A receptors in temporal cortex was about 20% less for the C allele than for the T allele [42]. The 102T/C polymorphism is located in exon 1 near the gene’s promoter, and so may have some role in gene regulation [29]. Since the C allele of the 5-HT2A receptor 102T/C polymorphism has less activity, it may have some role in fibromyalgia.
Studies examining the association between COMT and fibromyalgia have largely focused on a functional polymorphism in exon 4 that leads to an amino acid substitution (valine→methioinin) [31]. This polymorphism has been shown to affect COMT enzyme activity, such that homozygosity for the valine allele shows 3–4 times greater activity than homozygosity for the methionine allele. A functional polymorphism in the promoter region of the 5-HTTLPR is one of the most frequently studied genetic markers in fibromyalgia [36]. Despite the potential relevance of these functional polymorphisms to fibromyalgia [25], this meta-analysis failed to detect a significant association of the COMT val158Met polymorphism and the 5-HTTLPR S/L polymorphism with fibromyalgia susceptibility. Because genetic studies in fibromyalgia have been carried out in small numbers of patients, this meta-analysis cannot rule out the possibility that the COMT val158Met polymorphism and the 5-HTTLPR S/L allele play a role in fibromyalgia susceptibility. Larger studies are necessary to clarify the role of the candidate genes in the pathogenesis of fibromyalgia.
While some gene polymorphisms including the ADRB2 [7], ADRA1A [7], COMT rs4818 [12], DRD4 [17], and MAO-A allele3 [13] showed a significant association with fibromyalgia, other gene polymorphisms such as ADRB3 [7], DRD3 [8], DAT [10], 5-HT2A receptor (rs6311) [11], COMT (rs6269, rs4633, rs4818, rs4680, rs20907, and rs16559) [12], MAO-B [13], eNOS [14], TACR1 [10], AAT [10], IL-4 [15], 5-HTTLPR (intron2 VNTR) [19], HTR3A, and 3B (some SNPs) [16] was not associated with fibromyalgia. However, there is insufficiency evidence to conclude whether the polymorphisms are associated with fibromyalgia susceptibility, because there was only one study about the association of the polymorphisms with fibromyalgia, respectively.
Our analysis has some limitations. First, the number of studies and the number of subjects in the studies included in the meta-analysis were small. This may have not enough power to explore the association between the candidate gene polymorphisms and fibromyalgia. We also could not perform the ethnic-specific meta-analysis to detect associations in ethnic groups due to limited data. Second, it would have been interesting to examine whether the candidate gene polymorphisms are associated with clinical features of fibromyalgia, but this was not possible due to the limited data available. Third, publication bias may have affected the meta-analysis, as some studies with negative results may not have been published or may have been missed.
In conclusion, this meta-analysis of published data demonstrates that the 5-HT2A receptor 102T/C polymorphism confers susceptibility to fibromyalgia. In contrast, this meta-analysis failed to find the association between the 5-HTTLPR S/L allele, COMT val158Met, and susceptibility to fibromyalgia. Given the small number of studies presently available, additional research including large number of patients and controls is required to conclude the association of the candidate gene polymorphisms with fibromyalgia.
References
Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, Tugwell P, Campbell SM, Abeles M, Clark P, Fam AG, Farber SJ, Fiechtner JJ, Franklin CM, Gatter RA, Hamaty D, Lessard J, Lichtbroun AS, Masi AT, Mccain GA, Reynolds WJ, Romano TJ, Russell IJ, Sheon RP (1990) The American college of rheumatology 1990 criteria for the classification of fibromyalgia. Report of the multicenter criteria committee. Arthritis Rheum 33:160–172
Neumann L, Buskila D (2003) Epidemiology of fibromyalgia. Curr Pain Headache Rep 7:362–368
Wallace DJ, Linker-Israeli M, Hallegua D, Silverman S, Silver D, Weisman MH (2001) Cytokines play an aetiopathogenetic role in fibromyalgia: a hypothesis and pilot study. Rheumatology (Oxford) 40:743–749
Buskila D, Sarzi-Puttini P (2006) Biology and therapy of fibromyalgia. Genetic aspects of fibromyalgia syndrome. Arthritis Res Ther 8:218
Ablin JN, Cohen H, Buskila D (2006) Mechanisms of disease: genetics of fibromyalgia. Nat Clin Pract Rheumatol 2:671–678
Potvin S, Larouche A, Normand E, Souza JB, Gaumond I, Marchand S, Grignon S (2010) No relationship between the ins del polymorphism of the serotonin transporter promoter and pain perception in fibromyalgia patients and healthy controls. Eur J Pain published on 15 Jan 2010. doi:10.1016/j.ejpain.2009.12.004
Vargas-Alarcon G, Fragoso JM, Cruz-Robles D, Vargas A, Martinez A, Lao-Villadoniga JI, Garcia-Fructuoso F, Vallejo M, Martinez-Lavin M (2009) Association of adrenergic receptor gene polymorphisms with different fibromyalgia syndrome domains. Arthritis Rheum 60:2169–2173
Potvin S, Larouche A, Normand E, de Souza JB, Gaumond I, Grignon S, Marchand S (2009) DRD3 Ser9Gly polymorphism is related to thermal pain perception and modulation in chronic widespread pain patients and healthy controls. J Pain 10:969–975
Cohen H, Neumann L, Glazer Y, Ebstein RP, Buskila D (2009) The relationship between a common catechol-O-methyltransferase (COMT) polymorphism val (158) met and fibromyalgia. Clin Exp Rheumatol 27:S51–S56
Ablin JN, Bar-Shira A, Yaron M, Orr-Urtreger A (2009) Candidate-gene approach in fibromyalgia syndrome: association analysis of the genes encoding substance P receptor, dopamine transporter and alpha1-antitrypsin. Clin Exp Rheumatol 27:S33–S38
Tander B, Gunes S, Boke O, Alayli G, Kara N, Bagci H, Canturk F (2008) Polymorphisms of the serotonin-2A receptor and catechol-O-methyltransferase genes: a study on fibromyalgia susceptibility. Rheumatol Int 28:685–691
Vargas-Alarcon G, Fragoso JM, Cruz-Robles D, Vargas A, Lao-Villadoniga JI, Garcia-Fructuoso F, Ramos-Kuri M, Hernandez F, Springall R, Bojalil R, Vallejo M, Martinez-Lavin M (2007) Catechol-O-methyltransferase gene haplotypes in Mexican and Spanish patients with fibromyalgia. Arthritis Res Ther 9:R110
Gursoy S, Erdal E, Sezgin M, Barlas IO, Aydeniz A, Alasehirli B, Sahin G (2008) Which genotype of MAO gene that the patients have are likely to be most susceptible to the symptoms of fibromyalgia? Rheumatol Int 28:307–311
Alasehirli B, Demiryurek S, Arica E, Gursoy S, Demiryurek AT (2007) No evidence for an association between the Glu298Asp polymorphism of the endothelial nitric oxide synthase gene and fibromyalgia syndrome. Rheumatol Int 27:275–280
Su SY, Chen JJ, Lai CC, Chen CM, Tsai FJ (2007) The association between fibromyalgia and polymorphism of monoamine oxidase A and interleukin-4. Clin Rheumatol 26:12–16
Frank B, Niesler B, Bondy B, Spath M, Pongratz DE, Ackenheil M, Fischer C, Rappold G (2004) Mutational analysis of serotonin receptor genes: HTR3A and HTR3B in fibromyalgia patients. Clin Rheumatol 23:338–344
Buskila D, Cohen H, Neumann L, Ebstein RP (2004) An association between fibromyalgia and the dopamine D4 receptor exon III repeat polymorphism and relationship to novelty seeking personality traits. Mol Psychiatry 9:730–731
Gursoy S, Erdal E, Herken H, Madenci E, Alasehirli B, Erdal N (2003) Significance of catechol-O-methyltransferase gene polymorphism in fibromyalgia syndrome. Rheumatol Int 23:104–107
Gursoy S (2002) Absence of association of the serotonin transporter gene polymorphism with the mentally healthy subset of fibromyalgia patients. Clin Rheumatol 21:194–197
Cohen H, Buskila D, Neumann L, Ebstein RP (2002) Confirmation of an association between fibromyalgia and serotonin transporter promoter region (5- HTTLPR) polymorphism, and relationship to anxiety-related personality traits. Arthritis Rheum 46:845–847
Gursoy S, Erdal E, Herken H, Madenci E, Alasehirli B (2001) Association of T102C polymorphism of the 5-HT2A receptor gene with psychiatric status in fibromyalgia syndrome. Rheumatol Int 21:58–61
Offenbaecher M, Bondy B, de Jonge S, Glatzeder K, Kruger M, Schoeps P, Ackenheil M (1999) Possible association of fibromyalgia with a polymorphism in the serotonin transporter gene regulatory region. Arthritis Rheum 42:2482–2488
Bondy B, Spaeth M, Offenbaecher M, Glatzeder K, Stratz T, Schwarz M, de Jonge S, Kruger M, Engel RR, Farber L, Pongratz DE, Ackenheil M (1999) The T102C polymorphism of the 5-HT2A-receptor gene in fibromyalgia. Neurobiol Dis 6:433–439
Graeff FG (1997) Serotonergic systems. Psychiatr Clin North Am 20:723–739
Heils A, Teufel A, Petri S, Stober G, Riederer P, Bengel D, Lesch KP (1996) Allelic variation of human serotonin transporter gene expression. J Neurochem 66:2621–2624
Lesch KP, Bengel D, Heils A, Sabol SZ, Greenberg BD, Petri S, Benjamin J, Muller CR, Hamer DH, Murphy DL (1996) Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science 274:1527–1531
Collier DA, Stober G, Li T, Heils A, Catalano M, Di Bella D, Arranz MJ, Murray RM, Vallada HP, Bengel D, Muller CR, Roberts GW, Smeraldi E, Kirov G, Sham P, Lesch KP (1996) A novel functional polymorphism within the promoter of the serotonin transporter gene: possible role in susceptibility to affective disorders. Mol Psychiatry 1:453–460
Tokunaga A, Saika M, Senba E (1998) 5-HT2A receptor subtype is involved in the thermal hyperalgesic mechanism of serotonin in the periphery. Pain 76:349–355
Williams J, Spurlock G, McGuffin P, Mallet J, Nothen MM, Gill M, Aschauer H, Nylander PO, Macciardi F, Owen MJ (1996) Association between schizophrenia and T102C polymorphism of the 5-hydroxytryptamine type 2a-receptor gene. European Multicentre Association Study of Schizophrenia (EMASS) Group. Lancet 347:1294–1296
Diatchenko L, Slade GD, Nackley AG, Bhalang K, Sigurdsson A, Belfer I, Goldman D, Xu K, Shabalina SA, Shagin D, Max MB, Makarov SS, Maixner W (2005) Genetic basis for individual variations in pain perception and the development of a chronic pain condition. Hum Mol Genet 14:135–143
Lachman HM, Papolos DF, Saito T, Yu YM, Szumlanski CL, Weinshilboum RM (1996) Human catechol-O-methyltransferase pharmacogenetics: description of a functional polymorphism and its potential application to neuropsychiatric disorders. Pharmacogenetics 6:243–250
Egger M, Smith GD, Phillips AN (1997) Meta-analysis: principles and procedures. BMJ 315:1533–1537
Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315:629–634
Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21:1539–1558
DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7:177–188
Buskila D, Sarzi-Puttini P, Ablin JN (2007) The genetics of fibromyalgia syndrome. Pharmacogenomics 8:67–74
Ablin J, Neumann L, Buskila D (2008) Pathogenesis of fibromyalgia—a review. Joint Bone Spine 75:273–279
Hagen K, Pettersen E, Stovner LJ, Skorpen F, Zwart JA (2006) No association between chronic musculoskeletal complaints and Val158Met polymorphism in the Catechol-O-methyltransferase gene. The HUNT study. BMC Musculoskelet Disord 7:40
Ioannidis JP, Ntzani EE, Trikalinos TA, Contopoulos-Ioannidis DG (2001) Replication validity of genetic association studies. Nat Genet 29:306–309
Wolfe F, Russell IJ, Vipraio G, Ross K, Anderson J (1997) Serotonin levels, pain threshold, and fibromyalgia symptoms in the general population. J Rheumatol 24:555–559
Yunus MB, Dailey JW, Aldag JC, Masi AT, Jobe PC (1992) Plasma tryptophan and other amino acids in primary fibromyalgia: a controlled study. J Rheumatol 19:90–94
Polesskaya OO, Sokolov BP (2002) Differential expression of the “C” and “T” alleles of the 5-HT2A receptor gene in the temporal cortex of normal individuals and schizophrenics. J Neurosci Res 67:812–822
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This study was supported by a Korea University Grant.
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Lee, Y.H., Choi, S.J., Ji, J.D. et al. Candidate gene studies of fibromyalgia: a systematic review and meta-analysis. Rheumatol Int 32, 417–426 (2012). https://doi.org/10.1007/s00296-010-1678-9
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DOI: https://doi.org/10.1007/s00296-010-1678-9