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Fabbri C, Di Girolamo G, Serretti A. Pharmacogenetics of antidepressant drugs: an update after almost 20 years of research. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:487-520. [PMID: 23852853 DOI: 10.1002/ajmg.b.32184] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2012] [Accepted: 06/19/2013] [Indexed: 12/12/2022]
Abstract
Major depressive disorder (MDD) is an emergent cause of personal and socio-economic burden, both for the high prevalence of the disorder and the unsatisfying response rate of the available antidepressant treatments. No reliable predictor of treatment efficacy and tolerance in the single patient is available, thus drug choice is based on a trial and error principle with poor clinical efficiency. Among modulators of treatment outcome, genetic polymorphisms are thought to explain a significant share of the inter-individual variability. The present review collected the main pharmacogenetic findings primarily about antidepressant response and secondly about antidepressant induced side effects, and discussed the main strengths and limits of both candidate and genome-wide association studies and the most promising methodological opportunities and challenges of the field. Despite clinical applications of antidepressant pharmacogenetics are not available yet, previous findings suggest that genotyping may be applied in the clinical practice. In order to reach this objective, further rigorous pharmacogenetic studies (adequate sample size, study of better defined clinical subtypes of MDD, adequate covering of the genetic variability), their combination with the results obtained through complementary methodologies (e.g., pathway analysis, epigenetics, transcriptomics, and proteomics), and finally cost-effectiveness trials are required.
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Affiliation(s)
- Chiara Fabbri
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
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European Group for the Study of Resistant Depression (GSRD)--where have we gone so far: review of clinical and genetic findings. Eur Neuropsychopharmacol 2012; 22:453-68. [PMID: 22464339 DOI: 10.1016/j.euroneuro.2012.02.006] [Citation(s) in RCA: 101] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2012] [Accepted: 02/22/2012] [Indexed: 12/22/2022]
Abstract
The primary objective of this review is to give an overview of the main findings of the European multicenter project "Patterns of Treatment Resistance and Switching Strategies in Affective Disorder", performed by the Group for the Study of Resistant Depression (GSRD). The aim was to study methodological issues, operational criteria, clinical characteristics, and genetic variables associated with treatment resistant depression (TRD), that is failure to reach response after at least two consecutive adequate antidepressant trials. The primary findings of clinical variables associated with treatment resistance include comorbid anxiety disorders as well as non-response to the first antidepressant received lifetime. Although there is a plethora of hints in textbooks that switching the mechanism of action should be obtained in case of nonresponse to one medication, the results of the GSRD challenge this notion by demonstrating in retrospective and prospective evaluations that staying on the same antidepressant mechanism of action for a longer time is more beneficial than switching, however, when switching is an option there is no benefit to switch across class. The GSRD candidate gene studies found that metabolism status according to cytochrome P450 gene polymorphisms may not be helpful to predict response and remission rates to antidepressants. Significant associations with MDD and antidepressant treatment response were found for COMT SNPs. Investigating the impact of COMT on suicidal behaviour, we found a significant association with suicide risk in MDD patients not responding to antidepressant treatment, but not in responders. Further significant associations with treatment response phenotypes were found with BDNF, 5HTR2A and CREB1. Additional investigated candidate genes were DTNBP1, 5HT1A, PTGS2, GRIK4 and GNB3.
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Koller G, Zill P, Rujescu D, Ridinger M, Pogarell O, Fehr C, Wodarz N, Bondy B, Soyka M, Preuss UW. Possible association between OPRM1 genetic variance at the 118 locus and alcohol dependence in a large treatment sample: relationship to alcohol dependence symptoms. Alcohol Clin Exp Res 2012; 36:1230-6. [PMID: 22309038 DOI: 10.1111/j.1530-0277.2011.01714.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2011] [Accepted: 10/26/2011] [Indexed: 12/13/2022]
Abstract
BACKGROUND Several lines of evidence from previous research indicate that opioid receptors play an important role in ethanol reinforcement and alcohol dependence (AD) risk. Conflicting results were reported on the role of the mu-opioid receptor (OPRM1) polymorphism A118G (Asn40Asp, rs1799971) in the development of alcoholism. METHODS We investigated a total number of 1,845 alcohol-dependent subjects recruited from inpatient facilities in Germany and 1,863 controls for the mu-opioid receptor (OPRM1) polymorphism using chi-square statistics. RESULTS An association between the OPRM variant and AD was detected (p = 0.022), in recessive (AA vs. GA/GG) and co-dominant (AA vs. GA) models of inheritance. An association between the OPRM variant and the DSM-IV criterion "efforts to cut down or could not" (p = 0.047) was found, but this did not remain significant after the correction for multiple testing. CONCLUSIONS The results indicate that this functional OPRM variant is associated with risk of AD and these findings apply to more severe AD, although the association is only nominally significant.
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Affiliation(s)
- Gabriele Koller
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians University, Munich, Germany.
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Domschke K, Lawford B, Young R, Voisey J, Morris CP, Roehrs T, Hohoff C, Birosova E, Arolt V, Baune BT. Dysbindin (DTNBP1)--a role in psychotic depression? J Psychiatr Res 2011; 45:588-95. [PMID: 20951386 DOI: 10.1016/j.jpsychires.2010.09.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2010] [Revised: 08/10/2010] [Accepted: 09/22/2010] [Indexed: 01/20/2023]
Abstract
Previous studies yielded evidence for dysbindin (DTNBP1) to impact the pathogenesis of schizophrenia on the one hand and affective disorders such as bipolar or major depressive disorder (MDD) on the other. Thus, in the present study we investigated whether DTNBP1 variation was associated with psychotic depression as a severe clinical manifestation of MDD possibly constituting an overlapping phenotype between affective disorders and schizophrenia. A sample of 243 Caucasian inpatients with MDD (SCID-I) was genotyped for 12 SNPs spanning 92% of the DTNBP1 gene region. Differences in DTNBP1 genotype distributions across diagnostic subgroups of psychotic (N = 131) vs. non-psychotic depression were estimated by Pearson Chi(2) test and logistic regression analyses adjusted for age, gender, Beck Depression Inventory (BDI) and the Global Assessment of Functioning Scale (GAF). Overall, patients with psychotic depression presented with higher BDI and lower GAF scores expressing a higher severity of the illness as compared to depressed patients without psychotic features. Four DTNBP1 SNPs, particularly rs1997679 and rs9370822, and the corresponding haplotypes, respectively, were found to be significantly associated with the risk of psychotic depression in an allele-dose fashion. In summary, the present results provide preliminary support for dysbindin (DTNBP1) gene variation, particularly SNPs rs1997679 and rs9370822, to be associated with the clinical phenotype of psychotic depression suggesting a possible neurobiological mechanism for an intermediate trait on the continuum between affective disorders and schizophrenia.
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Affiliation(s)
- Katharina Domschke
- Department of Psychiatry, University of Muenster, Albert-Schweitzer-Strasse 11, D-48143 Muenster, Germany.
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Abstract
Existing psychotropic medications for the treatment of mental illnesses, including antidepressants, mood stabilizers, and antipsychotics, are clinically suboptimal. They are effective in only a subset of patients or produce partial responses, and they are often associated with debilitating side effects that discourage adherence. There is growing enthusiasm in the promise of pharmacogenetics to personalize the use of these treatments to maximize their efficacy and tolerability; however, there is still a long way to go before this promise becomes a reality. This article reviews the progress that has been made in research toward understanding how genetic factors influence psychotropic drug responses and the challenges that lie ahead in translating the research findings into clinical practices that yield tangible benefits for patients with mental illnesses.
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Affiliation(s)
- Peter P Zandi
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Hampton House, Room 857, 624 North Broadway, Baltimore, MD 21205, USA.
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Kocabas NA, Antonijevic I, Faghel C, Forray C, Kasper S, Lecrubier Y, Linotte S, Massat I, Montgomery S, Noro M, Oswald P, Snyder L, Souery D, Zohar J, Mendlewicz J. Dysbindin gene (DTNBP1) in major depressive disorder (MDD) patients: lack of association with clinical phenotypes. World J Biol Psychiatry 2010; 11:985-90. [PMID: 20822372 DOI: 10.3109/15622975.2010.512089] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
OBJECTIVES Dystrobrevin binding protein 1 (Dysbindin) is a plausible candidate gene for major depressive disorders (MDD) due to its involvement in synaptic signaling, plasticity and localization in the brain. METHODS Two intronic SNPs of DTNBP1; rs760761 (P1320) and rs2619522 (P1763) were analyzed in 206 patients with DSM-IV MDD to investigate the functional impact of genotypes on susceptibility for depression and some clinical phenotypes. The Sequenom iPLEX assay (Sequenom, Cambridge, MA) was used for genotyping. RESULTS AND CONCLUSIONS Despite the limited power of analysis, our results showed that these two SNPs in DTNPB1 gene were not related to clinical phenotypes such as melancholia, age at onset, suicidality and co-morbid anxiety disorders, as well as to treatment response phenotypes.
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Affiliation(s)
- Neslihan Aygun Kocabas
- Fonds de la Recherche Scientifique (FNRS), Laboratoire de Neurologie Expérimentale, Université Libre de Bruxelles, Belgium.
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Review and meta-analysis of antidepressant pharmacogenetic findings in major depressive disorder. Mol Psychiatry 2010; 15:473-500. [PMID: 18982004 DOI: 10.1038/mp.2008.116] [Citation(s) in RCA: 326] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This systematic review summarizes pharmacogenetic studies on antidepressant response and side effects. Out of the 17 genes we reviewed, 8 genes were entered into the meta-analysis (SLC6A4, HTR1A, HTR2A, TPH1, gene encoding the beta-3 subunit, brain-derived neurotrophic factor (BDNF), HTR3A and HTR3B). TPH1 218C/C genotype (7 studies, 754 subjects) was significantly associated with a better response (odds ratio, OR=1.62; P=0.005) with no heterogeneity between ethnicities. A better response was also observed in subjects with the Met variant within the BDNF 66Val/Met polymorphism (4 studies, 490 subjects; OR=1.63, P=0.02). Variable number of tandem repeats polymorphism within intron 2 (STin2) 12/12 genotype showed a trend toward a better response in Asians (STin2: 5 studies, 686 subjects; OR=3.89, P=0.03). As for side effects, pooled ORs of serotonin transporter gene promoter polymorphism (5-HTTLPR) l (9 studies, 2642 subjects) and HTR2A -1438G/G (7 studies, 801 subjects) were associated with a significant risk modulation (OR=0.64, P=0.0005) and (OR=1.91, P=0.0006), respectively. Interestingly, this significance became more robust when analyzed with side effect induced by selective serotonin reuptake inhibitors only (5-HTTLPR: P=0.0001, HTR2A: P<0.0001). No significant result could be observed for the other variants. These results were not corrected for multiple testing in each variant, phenotype and subcategory. This would have required a Bonferroni significance level of P<0.0023. Although some heterogeneity was present across studies, our finding suggests that 5-HTTLPR, STin2, HTR1A, HTR2A, TPH1 and BDNF may modulate antidepressant response.
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Abstract
Existing psychotropic medications for the treatment of mental illnesses, including antidepressants, mood stabilizers, and antipsychotics, are clinically suboptimal. They are effective in only a subset of patients or produce partial responses, and they are often associated with debilitating side effects that discourage adherence. There is growing enthusiasm in the promise of pharmacogenetics to personalize the use of these treatments to maximize their efficacy and tolerability; however, there is still a long way to go before this promise becomes a reality. This article reviews the progress that has been made in research toward understanding how genetic factors influence psychotropic drug responses and the challenges that lie ahead in translating the research findings into clinical practices that yield tangible benefits for patients with mental illnesses.
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Affiliation(s)
- Peter P Zandi
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Hampton House, Baltimore, MD 21205, USA.
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Abstract
BACKGROUND Straub et al. (2002b) located a susceptibility region for schizophrenia at the DTNBP1 locus. At least 40 studies (including one study in US populations) attempted to replicate this original finding, but the reported findings are highly diverse and at least five pathways by which dysbindin protein might be involved in schizophrenia have been proposed. This study aimed to test the association in two common US populations by using powerful analytic methods. METHODS Six markers at DTNBP1 were genotyped by mass spectroscopy ('MassARRAY' technique) in a sample of 663 individuals, including 346 healthy individuals European-Americans (EAs) and 48 African-Americans (AAs), and 317 individuals with schizophrenia (235 EAs and 82 AAs). Thirty-eight ancestry-informative markers were genotyped in this sample to infer the ancestry proportions. Diplotype, haplotype, genotype, and allele frequency distributions were compared between the cases and controls, controlling for possible population stratification, admixture, and sex-specific effects, and taking interaction effects into account, using a logistic regression analysis (an extended structured association method). RESULTS Conventional case-control comparisons showed that genotypes of the markers P1578 (rs1018381) and P1583 (rs909706) were nominally associated with schizophrenia in EAs and in AAs, respectively. These associations became less or nonsignificant after controlling for population stratification and admixture effects (using structured association or regression analysis), and became nonsignificant after correction for multiple testing. However, regression analysis showed that the common diplotypes (ACCCTT/GCCGCC or GCCGCC/GCCGCC) and the interaction effects of haplotypes GCCGCC/GCCGCC significantly affected risk for schizophrenia in EAs, effects that were modified by sex. Fine-mapping using d or J statistics located the specific markers (d: P1328; J: P1333) closest to the putative risk sites in EAs. CONCLUSION This study shows that DTNBP1 is a risk gene for schizophrenia in EAs. Variation at DTNBP1 may modify risk for schizophrenia in this population.
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Horstmann S, Binder EB. Pharmacogenomics of antidepressant drugs. Pharmacol Ther 2009; 124:57-73. [PMID: 19563827 DOI: 10.1016/j.pharmthera.2009.06.007] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2009] [Accepted: 06/09/2009] [Indexed: 12/15/2022]
Abstract
While antidepressant pharmacotherapy is an effective treatment of depression, it is still hampered by the slow onset of appreciable clinical improvement and a series of side effects. Moreover, a substantial group of patients does not achieve remission or fails to respond at all. One possible source accounting for these variations in treatment outcome are genetic differences. In recent years a number of pharmacogenetic studies on antidepressant drugs have been published. This manuscript summarizes findings related to the pharmacogenetics of genes involved in the pharmacokinetics as well as pharmacodynamics of antidepressants to date. Illustrated by examples from current candidate gene- and whole genome association studies, this manuscript critically discusses aspects of pharmacogenetic studies in antidepressant response related to study design and clinical relevance.
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Dysbindin gene (DTNBP1) in major depression: association with clinical response to selective serotonin reuptake inhibitors. Pharmacogenet Genomics 2009; 19:121-8. [PMID: 19065121 DOI: 10.1097/fpc.0b013e32831ebb4b] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Dysbindin gene (dystrobrevin-binding-protein 1, DTNBP1) variants have been associated with several psychiatric conditions including mood disorders and antidepressant efficacy. We investigated dysbindin gene (DTNBP1) variants in major depression and clinical response to selective serotonin reuptake inhibitors. METHODS In this study we investigated the role of DTNBP1 gene (rs3213207, rs2005976, rs760761 and rs2619522) in 313 major depressive outpatients and 149 healthy individuals. One hundred and forty-seven depressive patients were treated with citalopram and evaluated for response (4th week) and remission (12th week) by the 1-item Hamilton Depression Rating Scale. Single nucleotide polymorphisms (SNPs) were assayed by using Applied Biosystems TaqMan technology. RESULTS Genotype and haplotype frequencies for four SNPs within DTNBP1 gene did not significantly differ between patients and controls. Allele distribution of SNP rs760761, however, showed a trend of difference between responders and nonresponders (4th week). Haplotype analyses produced a significant association with response to treatment at week 4. No differences were found in remission (12th week). DISCUSSION DTNBP seems to have an effect on short-term clinical response to citalopram. New studies focused on other genes involved in glutamatergic neurotransmission and related proteins could help to elucidate the complex mechanism of clinical response to antidepressants.
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Association study of candidate variants from brain-derived neurotrophic factor and dystrobrevin-binding protein 1 with neuroticism, anxiety, and depression. Psychiatr Genet 2008; 18:219-25. [DOI: 10.1097/ypg.0b013e3283050aee] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Abstract
The genetic basis of major depressive disorder (MDD) has been investigated extensively, but the identification of MDD genes has been hampered by conflicting results from underpowered studies. We review all MDD case-control genetic association studies published before June 2007 and perform meta-analyses for polymorphisms that had been investigated in at least three studies. The study selection and data extraction were performed in duplicate by two independent investigators. The 183 papers that met our criteria studied 393 polymorphisms in 102 genes. Twenty-two polymorphisms (6%) were investigated in at least three studies. Seven polymorphisms had been evaluated in previous meta-analyses, 5 of these had new data available. Hence, we performed meta-analyses for 20 polymorphisms in 18 genes. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Statistically significant associations were found for the APOE varepsilon2 (OR, 0.51), GNB3 825T (OR, 1.38), MTHFR 677T (OR, 1.20), SLC6A4 44 bp Ins/Del S (OR, 1.11) alleles and the SLC6A3 40 bpVNTR 9/10 genotype (OR, 2.06). To date, there is statistically significant evidence for six MDD susceptibility genes (APOE, DRD4, GNB3, MTHFR, SLC6A3 and SLC6A4).
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Yun DH, Pae CU, Drago A, Mandelli L, De Ronchi D, Patkar AA, Paik IH, Serretti A, Kim JJ. Effect of the dysbindin gene on antimanic agents in patients with bipolar I disorder. Psychiatry Investig 2008; 5:102-5. [PMID: 20046352 PMCID: PMC2796018 DOI: 10.4306/pi.2008.5.2.102] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE We previously reported an association between dysbindin gene (DTNBP1) variants and bipolar I disorder (BID). This paper expands upon previous findings suggesting that DTNBP1 variants may play a role in the response to acute mood stabilizer treatment. METHODS A total of 45 BID patients were treated with antimanic agents (lithium, valproate, or carbamazepine) for an average of 36.52 (+/-19.87) days. After treatment, the patients were evaluated using the Clinical Global Impression (CGI) scale and the Young Mania Rating Scale (YMRS) and genotyped for their DTNBP1 variants (rs3213207 A/G, rs1011313 C/T, rs2005976 G/A, rs760761 C/T and rs2619522 A/C). RESULTS There was no association between the variants investigated and response to mood stabilizer treatment, even after considering possible stratification factors. CONCLUSION Although the small number of subjects is an important limitation in our study, DTNBP1 does not seem to be involved in acute antimanic efficacy.
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Affiliation(s)
- Dong-Hwan Yun
- Department of Psychiatry, Kangnam St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Chi-Un Pae
- Department of Psychiatry, Kangnam St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Antonio Drago
- Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Laura Mandelli
- Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Diana De Ronchi
- Institute of Psychiatry, University of Bologna, Bologna, Italy
| | - Ashwin A. Patkar
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - In Ho Paik
- Department of Psychiatry, Kangnam St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
| | | | - Jung-Jin Kim
- Department of Psychiatry, Kangnam St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Korea
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Kim JJ, Mandelli L, Pae CU, De Ronchi D, Jun TY, Lee C, Paik IH, Patkar AA, Steffens D, Serretti A, Han C. Is there protective haplotype of dysbindin gene (DTNBP1) 3 polymorphisms for major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2008; 32:375-9. [PMID: 17964051 DOI: 10.1016/j.pnpbp.2007.09.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2007] [Revised: 08/27/2007] [Accepted: 09/04/2007] [Indexed: 11/25/2022]
Abstract
Dysbindin gene has been repeatedly associated with psychiatric disorders and schizophrenia in particular. This study aimed to investigate the variants of dysbindin gene in major depressive disorder (MDD). One hundred and eighty eight patients with MDD and 350 controls were investigated for 4 variants within the dysbindin gene (rs3213207 A/G, rs1011313 C/T, rs760761 C/T, and rs2619522 A/C). Haplotype analyses revealed a significant association with MDD (p=0.0007, protective A-C-T-A and A-C-C-C haplotypes), in particular the effect was due to the rs760761 (C/T) and rs2619522 (A/C) haplotype (p=0.000026). These results suggest a protective effect of some dysbindin gene haplotypes on the development of MDD. Coupled with previous findings on schizophrenia, our finding suggests that dysbindin gene variants may have a role in the susceptibility to MDD. Adequately powered further studies in different ethnic groups are warranted.
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Affiliation(s)
- Jung-Jin Kim
- Department of Psychiatry, The Catholic University of Korea College of Medicine, 505 Banpo-Dong, Seocho-Gu, Seoul 137-701, South Korea
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Datta SR, McQuillin A, Puri V, Choudhury K, Thirumalai S, Lawrence J, Pimm J, Bass N, Lamb G, Moorey H, Morgan J, Punukollu B, Kandasami G, Kirwin S, Sule A, Quested D, Curtis D, Gurling HMD. Failure to confirm allelic and haplotypic association between markers at the chromosome 6p22.3 dystrobrevin-binding protein 1 (DTNBP1) locus and schizophrenia. Behav Brain Funct 2007; 3:50. [PMID: 17888175 PMCID: PMC2093937 DOI: 10.1186/1744-9081-3-50] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2007] [Accepted: 09/23/2007] [Indexed: 11/22/2022] Open
Abstract
Background Previous linkage and association studies may have implicated the Dystrobrevin-binding protein 1 (DTNBP1) gene locus or a gene in linkage disequilibrium with DTNBP1 on chromosome 6p22.3 in genetic susceptibility to schizophrenia. Methods We used the case control design to test for of allelic and haplotypic association with schizophrenia in a sample of four hundred and fifty research subjects with schizophrenia and four hundred and fifty ancestrally matched supernormal controls. We genotyped the SNP markers previously found to be significantly associated with schizophrenia in the original study and also other markers found to be positive in subsequent studies. Results We could find no evidence of allelic, genotypic or haplotypic association with schizophrenia in our UK sample. Conclusion The results suggest that the DTNBP1 gene contribution to schizophrenia must be rare or absent in our sample. The discrepant allelic association results in previous studies of association between DTNBP1 and schizophrenia could be due population admixture. However, even positive studies of European populations do not show any consistent DTNBP1 alleles or haplotypes associated with schizophrenia. Further research is needed to resolve these issues. The possible confounding of linkage with association in family samples already showing linkage at 6p22.3 might be revealed by testing genes closely linked to DTNBP1 for allelic association and by restricting family based tests of association to only one case per family.
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Affiliation(s)
- Susmita R Datta
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Andrew McQuillin
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Vinay Puri
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Khalid Choudhury
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | | | - Jacob Lawrence
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Jonathan Pimm
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Nicholas Bass
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Graham Lamb
- Camden and Islington Mental Health and Social Care Trust, St Pancras Hospital, London, NW1 0PE, UK
| | - Helen Moorey
- Camden and Islington Mental Health and Social Care Trust, St Pancras Hospital, London, NW1 0PE, UK
| | - Jenny Morgan
- Hampshire Partnership NHS Trust, Mulfords Hill Centre, Tadley, Hampshire, RG26 3HX, UK
| | - Bhaskar Punukollu
- West London Mental Health Trust, Hammersmith & Fulham Mental Health Unit and St Bernard's Hospital, London, W6 8RF, UK
| | - Gomathinayagam Kandasami
- Mersey Care NHS Trust, University Hospital Aintree, Longmoor Lane, Aintree, Liverpool, L9 7AD, UK
| | - Simon Kirwin
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
| | - Akeem Sule
- Department of Psychiatry, University of Oxford, Warneford Hospital, Headington, Oxford, UK
| | - Digby Quested
- West London Mental Health Trust, Hammersmith & Fulham Mental Health Unit and St Bernard's Hospital, London, W6 8RF, UK
- Department of Psychiatry, University of Oxford, Warneford Hospital, Headington, Oxford, UK
| | - David Curtis
- Queen Mary College, University of London and East London and City Mental Health Trust, Royal London Hospital, Whitechapel, London, E1 1BB, UK
| | - Hugh MD Gurling
- Molecular Psychiatry Laboratory, Department of Mental Health Sciences, University College London Medical School, Windeyer Institute of Medical Sciences, 46 Cleveland Street, London, W1T 4JF, UK
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Pae CU, Serretti A, Mandelli L, De Ronchi D, Patkar AA, Jun TY, Kim JJ, Lee CU, Lee SJ, Lee C, Paik IH. Dysbindin associated with selective serotonin reuptake inhibitor antidepressant efficacy. Pharmacogenet Genomics 2007; 17:69-75. [PMID: 17264804 DOI: 10.1097/01.fpc.0000236330.03681.6d] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Antidepressant drug efficacy is partially under genetic control and a number of gene variants have been associated with antidepressants efficacy over the last few years. In the search for further genes influencing antidepressant response we focused on the dysbindin gene (dystrobrevin-binding-protein 1, DTNBP1). BASIC METHODS One hundred and four Korean inpatients affected by major depressive disorder were treated with various antidepressants at standard therapeutic daily doses and rated with the 10-items Montgomery-Asberg Depression rating scale (MADRS) at baseline and discharge. Five DTNBP1 variants (rs3213207 A/G, rs1011313 C/T, rs2005976 G/A, rs760761 C/T and rs2619522 A/C) were analysed for all patients. RESULTS Rs2005976 was found to be significantly associated with final MADRS scores, with the rarest A allele associated with higher final scores (P=0.00055), rs760761 also showed a significant association (P=0.0058) and rs2619522 showed a positive trend (P=0.025). Markers were not significantly associated with Clinical Global Impression Scale scores. Five marker haplotypes were mildly associated with MADRS final scores but when considering the block composed of the three single nucleotide polymorphisms individually associated with response (rs2005976, rs760761 and rs2619522), results were more marked (P=0.0096), with the more frequent G-C-A haplotype associated with a positive outcome. CONCLUSIONS Despite limitations due to the sample size and the mild antidepressant response, we observed a significant association between DTNBP1 variants and antidepressant response.
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Affiliation(s)
- Chi-Un Pae
- Department of Psychiatry, Kangnam St Mary's Hospital, The Catholic University of Korea College of Medicine, Seocho-Gu, Seoul, Korea.
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Van Den Bogaert A, Del-Favero J, Van Broeckhoven C. Major affective disorders and schizophrenia: a common molecular signature? Hum Mutat 2006; 27:833-53. [PMID: 16917879 DOI: 10.1002/humu.20369] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Psychiatric disorders, including affective disorders (AD) and schizophrenia (SZ) are among the most common disabling brain diseases in Western populations and result in high costs in terms of morbidity as well as mortality. Although their etiology and pathophysiology is largely unknown, family-, twin-, and adoption studies argue for a strong genetic determination of these disorders. These studies indicate that there is between 40 and 85% heritability for these disorders but point also to the importance of environmental factors. Therefore, any research strategy aiming at the identification of genes involved in the development of AD and SZ should account for the complex nature (multifactorial) of these disorders. During the last decade, molecular genetic studies have contributed a great deal to the identification of genetic factors involved in complex disorders. Here we provide a comprehensive review of the most promising genes for AD and SZ, and the methods and approaches that were used for their identification. Also, we discuss the current knowledge and hypotheses that have been formulated regarding the effect of variations on protein functioning as well as recent observations that point to common molecular mechanisms.
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Affiliation(s)
- Ann Van Den Bogaert
- Department of Molecular Genetics, Flanders Interuniversity Institute for Biotechnology, University of Antwerp, Antwerpen, Belgium
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