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Pini S, Carpita B, Nardi B, Abelli M, Amatori G, Cremone I, Dell'Osso L. Admixture Analysis of Age of Onset in Bipolar Disorder and Impact of Anxiety Comorbidity. Cureus 2024; 16:e55803. [PMID: 38463410 PMCID: PMC10923198 DOI: 10.7759/cureus.55803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND The present study aimed to examine clinical differences between subjects with early-onset (<21 years) and adult-onset (>30 years) bipolar I disorder, in particular, in relation to anxiety comorbidity. METHOD Subjects were selected from a cohort of 161 consecutive patients with bipolar disorder type I as diagnosed by the Structured Clinical Interview for DSM Disorder (SCID-I). Clinical characteristics and axis I comorbidity were compared between those whose illness first emerged before the age of 21 years (n=58) and those whose first episode occurred after the age of 30 years (n=27). Psychopathology was assessed using the 18-item version of the Brief Psychiatric Rating Scale (BPRS). The frequency of delusions, hallucinations, and formal thought disorders was evaluated with the SCID-I. Overall, social and occupational functioning was assessed by the Global Assessment of Functioning (GAF). RESULTS Most subjects with early-onset bipolar disorder were males, had panic disorder and substance abuse comorbidity, longer duration of illness, exhibited mood-incongruent delusions, and presented with a mixed episode at onset more frequently than the later adult-onset subjects. Mixed mania at the first episode of illness and lifetime panic disorder comorbidity predicted mixed polarity at the first hospitalization episode in the early-onset subjects. CONCLUSIONS Overall, early age at onset seems to delineate a distinct bipolar I disorder subtype characterized by a greater likelihood of mixed episodes, lifetime panic disorder comorbidity, and schizophrenia-like delusions.
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Affiliation(s)
- Stefano Pini
- Department of Experimental Medicine, University of Pisa, Pisa, ITA
| | - Barbara Carpita
- Department of Experimental Medicine, University of Pisa, Pisa, ITA
| | - Benedetta Nardi
- Department of Experimental Medicine, University of Pisa, Pisa, ITA
| | - Marianna Abelli
- Department of Experimental Medicine, University of Pisa, Pisa, ITA
| | - Giulia Amatori
- Department of Experimental Medicine, University of Pisa, Pisa, ITA
| | - Ivan Cremone
- Department of Experimental Medicine, University of Pisa, Pisa, ITA
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Öztürk KHM, Ünal GNÖ. Novel splice‑site variants c.393G>A, c.278_2A>G in exon 2 and Q705K variant in exon 3 of NLRP3 gene are associated with bipolar I disorder. Mol Med Rep 2022; 26:293. [PMID: 35920179 PMCID: PMC9366148 DOI: 10.3892/mmr.2022.12810] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 07/04/2022] [Indexed: 11/06/2022] Open
Abstract
NOD‑like receptor pyrin domain‑containing 3 (NLRP3) has been considered to play a crucial role in triggering the host's immune and inflammatory responses. Genetic variants are critical determinants of interindividual variances in inflammatory responses and clinical outcomes. The role of NLRP3 gene variations in bipolar I (BPI) disorder, which is known to include genetic factors in its aetiology, has not been previously reported, at least to the best of our knowledge. The present study aimed to determine the role and frequency ofta exon 2 and exon 3 variants of NLRP3 in BPI disorder and to evaluate the association between different phenotypic traits. A case‑control study with 123 patients and 107 healthy controls was conducted to investigate the association of variants identified in the exon 2 and exon 3 regions of NLRP3, with the risk of BPI. Regions of interest were sequenced using a PCR‑based Sanger sequencing method. Three BPI‑related variants were identified. The genotype Q705K CA was detected more frequently in BPI patients, as compared to the control group [P<0.001; odds ratio (OR), 0.202; 95% confidence interval (CI), 0.080‑0.508]. In addition, two novel splice‑site variants (c.393G>A and c.278_2A>G) that, to the best of our knowledge, have not been previously reported in any database, were detected only in the BPI patient group [P<0.001; OR, 0.846; 95% CI, 0.784‑0.912; P<0.001; OR, 0.886; 95% CI, 0.832‑0.944, respectively]. There was no significant association between the Q795K variant and phenotypic traits (P>0.05). However, there was a significant association between those carrying the heterozygous c.393G>A variant and a positive family history (P=0.043). It was also observed that those with the heterozygous c.278‑2A>G variant presented with a significantly early‑onset (P=0.003). On the whole, the data of the present study suggested that NLRP3 plays a crucial role in the pathogenesis of BPI and may be a potential risk factor. However, further functional studies and repeated studies in other populations are required to properly comprehend the roles of the NLRP3 variants in the risk of developing BPI.
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Affiliation(s)
- Kuyaş Heki Mler Öztürk
- Departments of Medical Genetics, Faculty of Medicine, Süleyman Demirel University, Isparta 32260, Turkey
| | - Güli N Özdamar Ünal
- Departments of Psychiatry, Faculty of Medicine, Süleyman Demirel University, Isparta 32260, Turkey
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3
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Abstract
OBJECTIVE Bipolar disorder (BD) is a chronic mental health disorder with significant morbidity and mortality. Age at onset (AAO) may be a key variable in delineating more homogeneous subgroups of BD patients. However, no known research has systematically assessed how BD age-at-onset subgroups should be defined. METHODS We systematically searched the following databases: Cochrane Central Register of Controlled Trials, PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Proquest Dissertations and Theses, Google Scholar and BIOSIS Previews. Original quantitative English language studies investigating AAO in BD were sought. RESULTS A total of 9454 unique publications were identified. Twenty-one of these were included in data analysis (n = 22981 BD participants). Fourteen of these studies (67%, n = 13626 participants) found a trimodal AAO distribution: early-onset (µ = 17.3, σ = 1.19, 45% of sample), mid-onset (µ = 26.0, σ = 1.72, 35%), and late-onset (µ = 41.9, σ = 6.16, 20%). Five studies (24%, n = 1422 participants) described a bimodal AAO distribution: early-onset (µ = 24.3, σ = 6.57, 66% of sample) and late-onset (µ = 46.3, σ = 14.15, 34%). Two studies investigated cohort effects on BD AAO and found that when the sample was not split by cohort, a trimodal AAO was the winning model, but when separated by cohort a bimodal distribution fit the data better. CONCLUSIONS We propose that the field conceptualises bipolar disorder age-at-onset subgroups as referring broadly to life stages. Demarcating BD AAO groups can inform treatment and provide a framework for future research to continue to investigate potential mechanisms of disease onset.
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Affiliation(s)
- Sorcha Bolton
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK
| | - Jeremy Warner
- University of Oxford Medical SchoolJohn Radcliffe HospitalOxfordUK
| | - Eli Harriss
- Bodleian Health Care LibrariesUniversity of OxfordOxfordUK
| | - John Geddes
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK,Oxford Health NHS Foundation TrustWarneford HospitalOxfordUK
| | - Kate E. A. Saunders
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK,Oxford Health NHS Foundation TrustWarneford HospitalOxfordUK
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Soler J, Lera-Miguel S, Lázaro L, Calvo R, Ferentinos P, Fañanás L, Fatjó-Vilas M. Familial aggregation analysis of cognitive performance in early-onset bipolar disorder. Eur Child Adolesc Psychiatry 2020; 29:1705-1716. [PMID: 32052174 DOI: 10.1007/s00787-020-01486-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 01/27/2020] [Indexed: 01/03/2023]
Abstract
We analysed the familial aggregation (familiality) of cognitive dimensions and explored their role as liability markers for early-onset bipolar disorder (EOBD). The sample comprised 99 subjects from 26 families, each with an offspring diagnosed with EOBD. Four cognitive dimensions were assessed: reasoning skills; attention and working memory; memory; and executive functions. Their familiality was investigated in the total sample and in a subset of healthy relatives. The intra-family resemblance score (IRS), a family-based index of the similarity of cognitive performance among family members, was calculated. Familiality was detected for the attention and working memory (AW) dimension in the total sample (ICC = 0.37, p = 0.0004) and in the subsample of healthy relatives (ICC = 0.37, p = 0.016). The IRS reflected that there are families with similar AW mean scores (either high or low) and families with heterogeneous scores. Families with the most common background for the AW dimension (IRS > 0) were selected and dichotomized in two groups according to the mean family AW score. This allowed differentiating families whose members had similar high scores than those with similar low scores: both patients (t = - 4.82, p = 0.0005) and relatives (t = - 5.04, p < 0.0001) of the two groups differed in their AW scores. AW dimension showed familial aggregation, suggesting its putative role as a familial vulnerability marker for EOBD. The IRS estimation allowed the identification of families with homogeneous scores for this dimension. This represents a first step towards the investigation of the underlying mechanisms of AW dimension and the identification of etiological subgroups.
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Affiliation(s)
- Jordi Soler
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sara Lera-Miguel
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Luisa Lázaro
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Rosa Calvo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece
| | - Lourdes Fañanás
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Mar Fatjó-Vilas
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain.
- Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.
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Predictive power of the ADHD GWAS 2019 polygenic risk scores in independent samples of bipolar patients with childhood ADHD. J Affect Disord 2020; 265:651-659. [PMID: 31791676 DOI: 10.1016/j.jad.2019.11.109] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/17/2019] [Accepted: 11/22/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Although there is evidence of genetic correlation between bipolar disorder (BP) and ADHD, the extent of the shared genetic risk and whether childhood ADHD (cADHD) influences the characteristics of the adult BP remain unclear. Our objectives were: (i) to test the ability of polygenic risk scores (PRS) derived from the latest PGC ADHD-GWAS (Demontis et al., 2019) to predict the presence of cADHD in BP patients; (ii) to examine the hypothesis that BP preceded by cADHD is a BP subtype with particular clinical traits and (iii) partially shares its molecular basis with ADHD. METHOD PRS derived from the ADHD-GWAS-2019 were tested in BP patients (N = 942) assessed for cADHD with the Wender Utah Rating Scale and in controls from Romania and UK (N = 1616). RESULTS The ADHD-PRS differentiated BP cases with cADHD from controls. Proband sex and BP age-of-onset significantly influenced the discriminative power of the ADHD-PRS. The ADHD-PRS predicted the cADHD score only in males and in BP cases with early age-of-onset (≤21 years). Bipolar patients with cADHD had a younger age-of-onset of mania/depression than patients without cADHD. The ADHD-PRS predicted the BP-affection status in the comparison of early-onset BP cases with controls suggesting a partial molecular overlap between early-onset BP and ADHD. LIMITATIONS Retrospective diagnosis of cADHD, small sample size. CONCLUSIONS The PRS-analysis indicated an acceptable predictive ability of the ADHD-SNP-set 2019 in independent BP samples. The best prediction of both cADHD and BP-affection status was found in the early-onset BP cases. The results may have impact on the individual disease monitoring.
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The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function, and mushroom dendritic spine. Mol Psychiatry 2020; 25:48-66. [PMID: 31723243 DOI: 10.1038/s41380-019-0592-0] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 10/30/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022]
Abstract
Schizophrenia and bipolar disorder (BPD) are believed to share clinical features, etiological factors, and disease pathologies (such as impaired cognitive functions and dendritic spine pathology). Meanwhile, there is growing evidence of shared genetic risk between schizophrenia and BPD, despite that our knowledge of the functional risk variations and biological mechanisms is still limited. Here, we conduct summary data-based Mendelian randomization (SMR) analyses through combining the statistical data from genome-wide association studies (GWAS) of both schizophrenia and BPD and multiple expression quantitative trait loci (eQTL) datasets of the human brain dorsolateral prefrontal cortex (DLPFC) tissues. These integrative investigations identify a lead risk locus at the chromosome 3p21.1 region, which contains numerous single-nucleotide polymorphisms (SNPs) in varied linkage disequilibrium (LD) and encompasses more than 20 genes. Further analyses suggest that many SNPs at 3p21.1 are significantly associated with both schizophrenia and BPD, and even depression, and the psychiatric risk alleles at 3p21.1 are correlated with mRNA expression of multiple genes such as NEK4, GNL3, and PBRM1. We also identify a 335-bp functional Alu polymorphism rs71052682 in significant LD with the psychiatric GWAS risk SNP rs2251219, and confirm the regulatory effects of this Alu polymorphism on transcription activities. We then explore the involvement of the 3p21.1 locus in the common clinical features and etiology of these illnesses. We reveal that psychiatric risk alleles at 3p21.1 in low-to-high LD consistently predict worse cognitive functions in humans, and manipulating the gene expression (NEK4, GNL3, and PBRM1) linked with higher genetic risk could reduce the density of mushroom dendritic spines in rat primary cortical neurons, mirroring the spine pathology in the prefrontal cortex of psychiatric patients. Our results find that, although the risk alleles at 3p21.1 are in low-to-moderate LD spanning a large genomic area, their underlying biological mechanisms in psychiatric disorders likely converge. These results provide essential insights into the neural mechanisms underlying the chromosome 3p21.1 risk locus in the shared pathological and etiological features of both schizophrenia and BPD.
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7
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Yang C, Li S, Ma JX, Li Y, Zhang A, Sun N, Wang Y, Xu Y, Zhang K. Whole Exome Sequencing Identifies a Novel Predisposing Gene, MAPKAP1, for Familial Mixed Mood Disorder. Front Genet 2019; 10:74. [PMID: 30828345 PMCID: PMC6384253 DOI: 10.3389/fgene.2019.00074] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 01/28/2019] [Indexed: 11/13/2022] Open
Abstract
Background: Mood disorder is ranked seventh among the worldwide causes of non-fatal disease burden and is generally believed to be a heritable disease. However, there is still a substantial portion of the heritability yet to be discovered, despite the success of genome-wide association studies (GWAS) for mood disorder. A proportion of the missing heritability may be accounted for by rare coding variants segregating in families enriched with mood disorder. Methods: To identify novel variants segregating with mood disorder, we performed whole-exome sequencing on genomic DNA for a multigenerational family with nine members affected with mood disorder. We prioritized potential causal variants within the family based on segregation with mood disorder, predicted functional effects, and prevalence in human populations. In addition, for the top-ranked candidate variant, we conducted validation in vivo to explore the pathogenesis of mood disorder. Results: We identified and ranked 26 candidate variants based on their segregation pattern and functional annotations. The top-ranked variant, rs78809014, is located in intron 7 of the MAPKAP1 gene. The expression levels of MAPKAP1 in peripheral blood of both major depression disorder (MDD) patients and depressive-like mice ventral dentate gyrus were significantly higher than that in the corresponding controls. In addition, the expression level of MAPKAP1 were correlated with antidepressant response. Conclusions: Although the exact mechanisms in the family remain to be elucidated, our data strongly indicate a probable role of the variant, rs78809014, in the regulatory process of the expression of MAPKAP1 and thus in the development of mood disorder in familial mood disorder.
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Affiliation(s)
- Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Suping Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jack X. Ma
- McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Yi Li
- School of Statistics, Shanxi University of Finance and Economics, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- Nuring College of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- *Correspondence: Yong Xu
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- Kerang Zhang
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8
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Kalman JL, Papiol S, Forstner AJ, Heilbronner U, Degenhardt F, Strohmaier J, Adli M, Adorjan K, Akula N, Alda M, Anderson‐Schmidt H, Andlauer TFM, Anghelescu I, Ardau R, Arias B, Arolt V, Aubry J, Backlund L, Bartholdi K, Bauer M, Baune BT, Becker T, Bellivier F, Benabarre A, Bengesser S, Bhattacharjee AK, Biernacka JM, Birner A, Brichant‐Petitjean C, Budde M, Cervantes P, Chillotti C, Cichon S, Clark SR, Colom F, Comes AL, Cruceanu C, Czerski PM, Dannlowski U, Dayer A, Del Zompo M, DePaulo JR, Dietrich DE, Étain B, Ethofer T, Falkai P, Fallgatter A, Figge C, Flatau L, Folkerts H, Frisen L, Frye MA, Fullerton JM, Gade K, Gard S, Garnham JS, Goes FS, Grigoroiu‐Serbanescu M, Gryaznova A, Hake M, Hauser J, Herms S, Hoffmann P, Hou L, Jäger M, Jamain S, Jiménez E, Juckel G, Kahn J, Kassem L, Kelsoe J, Kittel‐Schneider S, Kliwicki S, Klohn‐Sagatholislam F, Koller M, König B, Konrad C, Lackner N, Laje G, Landén M, Lang FU, Lavebratt C, Leboyer M, Leckband SG, Maj M, Manchia M, Martinsson L, McCarthy MJ, McElroy SL, McMahon FJ, Mitchell PB, Mitjans M, Mondimore FM, Monteleone P, Nieratschker V, Nievergelt CM, Novák T, Ösby U, Pfennig A, Potash JB, Reich‐Erkelenz D, Reif A, Reimer J, Reininghaus E, Reitt M, Ripke S, Rouleau GA, Rybakowski JK, Schalling M, Scherk H, Schmauß M, Schofield PR, Schubert KO, Schulte EC, Schulz S, Senner F, Severino G, Shekhtman T, Shilling PD, Simhandl C, Slaney CM, Spitzer C, Squassina A, Stamm T, Stegmaier S, Stierl S, Stopkova P, Thiel A, Tighe SK, Tortorella A, Turecki G, Vieta E, Veeh J, von Hagen M, Wigand ME, Wiltfang J, Witt S, Wright A, Zandi PP, Zimmermann J, Nöthen M, Rietschel M, Schulze TG. Investigating polygenic burden in age at disease onset in bipolar disorder: Findings from an international multicentric study. Bipolar Disord 2019; 21:68-75. [PMID: 29956436 PMCID: PMC6585855 DOI: 10.1111/bdi.12659] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) with early disease onset is associated with an unfavorable clinical outcome and constitutes a clinically and biologically homogenous subgroup within the heterogeneous BD spectrum. Previous studies have found an accumulation of early age at onset (AAO) in BD families and have therefore hypothesized that there is a larger genetic contribution to the early-onset cases than to late onset BD. To investigate the genetic background of this subphenotype, we evaluated whether an increased polygenic burden of BD- and schizophrenia (SCZ)-associated risk variants is associated with an earlier AAO in BD patients. METHODS A total of 1995 BD type 1 patients from the Consortium of Lithium Genetics (ConLiGen), PsyCourse and Bonn-Mannheim samples were genotyped and their BD and SCZ polygenic risk scores (PRSs) were calculated using the summary statistics of the Psychiatric Genomics Consortium as a training data set. AAO was either separated into onset groups of clinical interest (childhood and adolescence [≤18 years] vs adulthood [>18 years]) or considered as a continuous measure. The associations between BD- and SCZ-PRSs and AAO were evaluated with regression models. RESULTS BD- and SCZ-PRSs were not significantly associated with age at disease onset. Results remained the same when analyses were stratified by site of recruitment. CONCLUSIONS The current study is the largest conducted so far to investigate the association between the cumulative BD and SCZ polygenic risk and AAO in BD patients. The reported negative results suggest that such a polygenic influence, if there is any, is not large, and highlight the importance of conducting further, larger scale studies to obtain more information on the genetic architecture of this clinically relevant phenotype.
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Affiliation(s)
- Janos L Kalman
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany,International Max Planck Research School for Translational Psychiatry (IMPRS‐TP)MunichGermany
| | - Sergi Papiol
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany,Instituto de Salud Carlos IIIBiomedical Network Research Centre on Mental Health (CIBERSAM)BarcelonaSpain
| | - Andreas J Forstner
- Institute of Human GeneticsUniversity of Bonn and Department of GenomicsLife & Brain CenterBonnGermany,Department of Psychiatry (UPK)University of BaselBaselSwitzerland,Human Genomics Research GroupDepartment of BiomedicineUniversity of BaselBaselSwitzerland
| | - Urs Heilbronner
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyUniversity Medical Center (UMG)Georg‐August University GöttingenGöttingenGermany
| | - Franziska Degenhardt
- Institute of Human GeneticsUniversity of Bonn and Department of GenomicsLife & Brain CenterBonnGermany
| | - Jana Strohmaier
- Department of Genetic Epidemiology in PsychiatryCentral Institute of Mental HealthMedical Faculty MannheimUniversity of HeidelbergMannheimGermany
| | - Mazda Adli
- Department of Psychiatry and PsychotherapyCharité ‐ Universitätsmedizin BerlinBerlinGermany
| | - Kristina Adorjan
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany
| | - Nirmala Akula
- Intramural Research ProgramNational Institute of Mental HealthNational Institutes of HealthUS Dept of Health & Human ServicesBethesdaMDUSA
| | - Martin Alda
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada
| | - Heike Anderson‐Schmidt
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyUniversity Medical Center (UMG)Georg‐August University GöttingenGöttingenGermany
| | | | | | - Raffaella Ardau
- Unit of Clinical PharmacologyHospital University Agency of CagliariCagliariItaly
| | - Bárbara Arias
- Departament Biologia EvolutivaEcologia i Ciències AmbientalsFacultat de BiologiaInstitut de Biomedicina de la Universitat de Barcelona (IBUB)CIBERSAMUniversitat de BarcelonaBarcelonaSpain
| | - Volker Arolt
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | - Jean‐Michel Aubry
- Mood Disorders UnitDepartment of PsychiatryHUG ‐ Geneva University HospitalsGenevaSwitzerland
| | - Lena Backlund
- Department of Molecular Medicine and SurgeryKarolinska Institutet and The Centre for Psychiatric ResearchStockholmSweden
| | - Kim Bartholdi
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
| | - Michael Bauer
- Department of Psychiatry and PsychotherapyCarl Gustav Carus University HospitalTechnische Universität DresdenDresdenGermany
| | - Bernhard T Baune
- Discipline of PsychiatryRoyal Adelaide HospitalAdelaide School of Medical SchoolineThe University of AdelaideAdelaideSAAustralia
| | - Thomas Becker
- Department of Psychiatry IIUlm UniversityBezirkskrankenhaus GünzburgGünzburgGermany
| | - Frank Bellivier
- INSERM UMR‐S 1144 ‐ Université Paris DiderotPôle de PsychiatrieAP‐HP, Groupe Hospitalier Lariboisière‐F. WidalParisFrance
| | - Antonio Benabarre
- Bipolar Disorders ProgramInstitute of NeurosciencesHospital ClinicUniversity of BarcelonaIDIBAPS, CIBERSAMBarcelonaSpain
| | | | | | | | | | - Clara Brichant‐Petitjean
- INSERM UMR‐S 1144 ‐ Université Paris DiderotPôle de PsychiatrieAP‐HP, Groupe Hospitalier Lariboisière‐F. WidalParisFrance
| | - Monika Budde
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
| | - Pablo Cervantes
- Mood Disorders ProgramMcGill University Health CentreMontrealQCCanada
| | - Caterina Chillotti
- Unit of Clinical PharmacologyHospital University Agency of CagliariCagliariItaly
| | - Sven Cichon
- Institute of Human GeneticsUniversity of Bonn and Department of GenomicsLife & Brain CenterBonnGermany,Human Genomics Research GroupDepartment of BiomedicineUniversity of BaselBaselSwitzerland
| | - Scott R Clark
- Discipline of PsychiatryRoyal Adelaide HospitalAdelaide School of Medical SchoolineThe University of AdelaideAdelaideSAAustralia
| | - Francesc Colom
- Mental Health ProgramIMIM (Hospital del Mar Medical Research Institute)CIBERSAM BarcelonaCatoloniaSpain
| | - Ashley L Comes
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,International Max Planck Research School for Translational Psychiatry (IMPRS‐TP)MunichGermany
| | - Cristiana Cruceanu
- Max Planck Institute of PsychiatryMunichGermany,Mood Disorders ProgramMcGill University Health CentreMontrealQCCanada
| | - Piotr M Czerski
- Laboratory of Psychiatric GeneticsPoznan University of Medical SciencesPoznanPoland
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | - Alexandre Dayer
- Mood Disorders UnitDepartment of PsychiatryHUG ‐ Geneva University HospitalsGenevaSwitzerland
| | - Maria Del Zompo
- Department of Biomedical SciencesUniversity of CagliariCagliariItaly
| | - Jay Raymond DePaulo
- Department of Psychiatry and Behavioral SciencesJohns Hopkins UniversityBaltimoreMDUSA
| | | | - Bruno Étain
- INSERM UMR‐S 1144 ‐ Université Paris DiderotPôle de PsychiatrieAP‐HP, Groupe Hospitalier Lariboisière‐F. WidalParisFrance
| | - Thomas Ethofer
- Department of Psychiatry and PsychotherapyNeurophysiology & Interventional NeuropsychiatryUniversity of TübingenTübingenGermany
| | - Peter Falkai
- Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany
| | - Andreas Fallgatter
- Department of Psychiatry and PsychotherapyNeurophysiology & Interventional NeuropsychiatryUniversity of TübingenTübingenGermany
| | - Christian Figge
- Karl‐Jaspers ClinicEuropean Medical School Oldenburg‐GroningenOldenburgGermany
| | - Laura Flatau
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
| | - Here Folkerts
- Department of Psychiatry, Psychotherapy and PsychosomaticsClinical Center WilhelmshavenWilhelmshavenGermany
| | - Louise Frisen
- Department of Molecular Medicine and SurgeryKarolinska Institutet and The Centre for Psychiatric ResearchStockholmSweden
| | | | - Janice M Fullerton
- Neuroscience Research AustraliaSydneyNSWAustralia,School of Medical SciencesUniversity of New South WalesSydneyNSWAustralia
| | - Katrin Gade
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyUniversity Medical Center (UMG)Georg‐August University GöttingenGöttingenGermany
| | | | | | - Fernando S Goes
- Department of Psychiatry and Behavioral SciencesJohns Hopkins UniversityBaltimoreMDUSA
| | - Maria Grigoroiu‐Serbanescu
- Biometric Psychiatric Genetics Research UnitAlexandru Obregia Clinical Psychiatric HospitalBucharestRomania
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
| | - Maria Hake
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
| | - Joanna Hauser
- Laboratory of Psychiatric GeneticsPoznan University of Medical SciencesPoznanPoland
| | - Stefan Herms
- Institute of Human GeneticsUniversity of Bonn and Department of GenomicsLife & Brain CenterBonnGermany,Human Genomics Research GroupDepartment of BiomedicineUniversity of BaselBaselSwitzerland
| | - Per Hoffmann
- Institute of Human GeneticsUniversity of Bonn and Department of GenomicsLife & Brain CenterBonnGermany,Human Genomics Research GroupDepartment of BiomedicineUniversity of BaselBaselSwitzerland
| | - Liping Hou
- Intramural Research ProgramNational Institute of Mental HealthNational Institutes of HealthUS Dept of Health & Human ServicesBethesdaMDUSA
| | - Markus Jäger
- Department of Psychiatry IIUlm UniversityBezirkskrankenhaus GünzburgGünzburgGermany
| | - Stephane Jamain
- INSERM U955 Equipe 15 ‐ Psychiatrie GenetiqueHopital Henri MondorCreteilCedexFrance
| | - Esther Jiménez
- Bipolar Disorders ProgramInstitute of NeurosciencesHospital ClinicUniversity of BarcelonaIDIBAPS, CIBERSAMBarcelonaSpain
| | - Georg Juckel
- Department of PsychiatryRuhr University BochumLWL University HospitalBochumGermany
| | - Jean‐Pierre Kahn
- Service de Psychiatrie et Psychologie CliniqueCentre Psychothérapique de Nancy ‐ Université de LorraineNancyFrance
| | - Layla Kassem
- Human Genetics BranchSection on Genetic Basis of Mood and Anxiety DisordersNational Institutes of HealthBethesdaMDUSA
| | - John Kelsoe
- Department of PsychiatryUniversity of California San DiegoSan DiegoCAUSA
| | - Sarah Kittel‐Schneider
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital FrankfurtFrankfurtGermany
| | - Sebastian Kliwicki
- Department of Adult PsychiatryPoznan University of Medical SciencesPoznanPoland
| | - Farah Klohn‐Sagatholislam
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany
| | | | | | - Carsten Konrad
- Department of Psychiatry and PsychotherapyAgaplesion DiakonieklinikumRotenburgGermany
| | | | - Gonzalo Laje
- Intramural Research ProgramNational Institute of Mental HealthNational Institutes of HealthUS Dept of Health & Human ServicesBethesdaMDUSA
| | - Mikael Landén
- Gothenburg UniversitySahlgrenska AcademyGothenburgSweden,Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Fabian U Lang
- Department of Psychiatry IIUlm UniversityBezirkskrankenhaus GünzburgGünzburgGermany
| | | | - Marion Leboyer
- INSERM U955 Equipe 15 ‐ Psychiatrie GenetiqueHopital Henri MondorCreteilCedexFrance,Assistance Publique‐Hôpitaux de ParisHôpital Albert Chenevier ‐ Henri MondorPôle de PsychiatrieCréteilFrance
| | - Susan G Leckband
- Department of PharmacyVA San Diego Healthcare SystemSan DiegoCAUSA
| | - Mario Maj
- Department of PsychiatryCampania University L. VanvitelliNaplesItaly
| | - Mirko Manchia
- Section of PsychiatryDepartment of Public Health, Clinical and Molecular MedicineUniversity of CagliariCagliariItaly,Department of PharmacologyDalhousie UniversityHalifaxNSCanada
| | - Lina Martinsson
- Department of Clinical NeurosciencesKarolinska InstitutetStockholmSweden
| | - Michael J McCarthy
- Department of PsychiatryUniversity of California San DiegoSan DiegoCAUSA
| | | | - Francis J McMahon
- Intramural Research ProgramNational Institute of Mental HealthNational Institutes of HealthUS Dept of Health & Human ServicesBethesdaMDUSA
| | - Philip B Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNSWAustralia,Black Dog InstitutePrince of Wales HospitalSydneyNSWAustralia
| | - Marina Mitjans
- Unitat d'Antropologia (Dp. Biología Animal)Department of Biologia AnimalFacultat de Biologia and Institut de Biomedicina (IBUB)Universitat de BarcelonaCIBERSAMBarcelonaSpain
| | - Francis M Mondimore
- Department of Psychiatry and Behavioral SciencesJohns Hopkins UniversityBaltimoreMDUSA
| | - Palmiero Monteleone
- Department of PsychiatryCampania University L. VanvitelliNaplesItaly,Neurosciences SectionDepartment of Medicine and SurgeryUniversity of SalernoSalernoItaly
| | - Vanessa Nieratschker
- Department of Psychiatry and PsychotherapyNeurophysiology & Interventional NeuropsychiatryUniversity of TübingenTübingenGermany
| | | | - Tomas Novák
- National Institute of Mental HealthKlecanyCzech Republic,Third Faculty of MedicineCharles University in PraguePragueCzech Republic
| | - Urban Ösby
- Department of PsychiatryKarolinska InstitutetStockholmSweden
| | - Andrea Pfennig
- Department of Psychiatry and PsychotherapyCarl Gustav Carus University HospitalTechnische Universität DresdenDresdenGermany
| | | | - Daniela Reich‐Erkelenz
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital FrankfurtFrankfurtGermany
| | - Jens Reimer
- Department of PsychiatryKlinikum Bremen‐OstBremenGermany
| | | | - Markus Reitt
- Department of Psychiatry and PsychotherapyUniversity Medical Center (UMG)Georg‐August University GöttingenGöttingenGermany
| | - Stephan Ripke
- Department of Psychiatry and PsychotherapyCharité ‐ Universitätsmedizin BerlinBerlinGermany,Stanley Center for Psychiatric ResearchBroad InstituteCambridgeMAUSA
| | - Guy A Rouleau
- Mood Disorders ProgramMcGill University Health CentreMontrealQCCanada
| | - Janusz K Rybakowski
- Department of Adult PsychiatryPoznan University of Medical SciencesPoznanPoland
| | - Martin Schalling
- Department of Molecular Medicine and SurgeryKarolinska Institutet and The Centre for Psychiatric ResearchStockholmSweden
| | | | - Max Schmauß
- Department of Psychiatry and PsychotherapyBezirkskrankenhaus AugsburgAugsburgGermany
| | - Peter R Schofield
- Neuroscience Research AustraliaSydneyNSWAustralia,School of Medical SciencesUniversity of New South WalesSydneyNSWAustralia
| | - K Oliver Schubert
- Discipline of PsychiatryRoyal Adelaide HospitalAdelaide School of Medical SchoolineThe University of AdelaideAdelaideSAAustralia
| | - Eva C Schulte
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany
| | - Sybille Schulz
- Department of PsychiatryKlinikum Bremen‐OstBremenGermany
| | - Fanny Senner
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany,Department of Psychiatry and PsychotherapyLudwig‐Maximilians‐University MunichMunichGermany
| | - Giovanni Severino
- Department of Biomedical SciencesUniversity of CagliariCagliariItaly
| | - Tatyana Shekhtman
- Department of PsychiatryUniversity of California San DiegoSan DiegoCAUSA
| | - Paul D Shilling
- Department of PsychiatryUniversity of California San DiegoSan DiegoCAUSA
| | - Christian Simhandl
- Sigmund Freud UniversityViennaAustria,Bipolar ZentrumWiener NeustadtAustria
| | | | | | - Alessio Squassina
- Department of Biomedical SciencesUniversity of CagliariCagliariItaly
| | - Thomas Stamm
- Department of Psychiatry and PsychotherapyCharité ‐ Universitätsmedizin BerlinBerlinGermany,Department of Psychiatry, Psychotherapy and PsychosomaticsMedical School BrandenburgNeuruppinGermany
| | - Sophia Stegmaier
- Department of Psychiatry and PsychotherapyNeurophysiology & Interventional NeuropsychiatryUniversity of TübingenTübingenGermany
| | | | - Pavla Stopkova
- National Institute of Mental HealthKlecanyCzech Republic
| | - Andreas Thiel
- Department of Psychiatry and PsychotherapyAgaplesion DiakonieklinikumRotenburgGermany
| | | | | | | | - Eduard Vieta
- Bipolar Disorders ProgramInstitute of NeurosciencesHospital ClinicUniversity of BarcelonaIDIBAPS, CIBERSAMBarcelonaSpain
| | - Julia Veeh
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital FrankfurtFrankfurtGermany
| | - Martin von Hagen
- Clinic for Psychiatry and PsychotherapyClinical Center Werra‐MeißnerEschwegeGermany
| | - Moritz E Wigand
- Department of Psychiatry IIUlm UniversityBezirkskrankenhaus GünzburgGünzburgGermany
| | - Jens Wiltfang
- Department of Psychiatry and PsychotherapyUniversity Medical Center (UMG)Georg‐August University GöttingenGöttingenGermany
| | - Stephanie Witt
- Department of Genetic Epidemiology in PsychiatryCentral Institute of Mental HealthMedical Faculty MannheimUniversity of HeidelbergMannheimGermany
| | - Adam Wright
- School of PsychiatryUniversity of New South WalesSydneyNSWAustralia,Black Dog InstitutePrince of Wales HospitalSydneyNSWAustralia
| | - Peter P Zandi
- Department of Psychiatry and Behavioral SciencesJohns Hopkins UniversityBaltimoreMDUSA
| | | | - Markus Nöthen
- Institute of Human GeneticsUniversity of Bonn and Department of GenomicsLife & Brain CenterBonnGermany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in PsychiatryCentral Institute of Mental HealthMedical Faculty MannheimUniversity of HeidelbergMannheimGermany
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG)University HospitalLMU MunichMunichGermany
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9
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Xiao X, Zhang C, Grigoroiu-Serbanescu M, Wang L, Li L, Zhou D, Yuan TF, Wang C, Chang H, Wu Y, Li Y, Wu DD, Yao YG, Li M. The cAMP responsive element-binding (CREB)-1 gene increases risk of major psychiatric disorders. Mol Psychiatry 2018; 23:1957-1967. [PMID: 29158582 DOI: 10.1038/mp.2017.243] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 08/25/2017] [Accepted: 09/14/2017] [Indexed: 12/11/2022]
Abstract
Bipolar disorder (BPD), schizophrenia (SCZ) and unipolar major depressive disorder (MDD) are primary psychiatric disorders sharing substantial genetic risk factors. We previously reported that two single-nucleotide polymorphisms (SNPs) rs2709370 and rs6785 in the cAMP responsive element-binding (CREB)-1 gene (CREB1) were associated with the risk of BPD and abnormal hippocampal function in populations of European ancestry. In the present study, we further expanded our analyses of rs2709370 and rs6785 in multiple BPD, SCZ and MDD data sets, including the published Psychiatric Genomics Consortium (PGC) genome-wide association study, the samples used in our previous CREB1 study, and six additional cohorts (three new BPD samples, two new SCZ samples and one new MDD sample). Although the associations of both CREB1 SNPs with each illness were not replicated in the new cohorts (BPD analysis in 871 cases and 1089 controls (rs2709370, P=0.0611; rs6785, P=0.0544); SCZ analysis in 1273 cases and 1072 controls (rs2709370, P=0.230; rs6785, P=0.661); and MDD analysis in 129 cases and 100 controls (rs2709370, P=0.114; rs6785, P=0.188)), an overall meta-analysis of all included samples suggested that both SNPs were significantly associated with increased risk of BPD (11 105 cases and 51 331 controls; rs2709370, P=2.33 × 10-4; rs6785, P=6.33 × 10-5), SCZ (34 913 cases and 44 528 controls; rs2709370, P=3.96 × 10-5; rs6785, P=2.44 × 10-5) and MDD (9369 cases and 9619 controls; rs2709370, P=0.0144; rs6785, P=0.0314), with the same direction of allelic effects across diagnostic categories. We then examined the impact of diagnostic status on CREB1 mRNA expression using data obtained from independent brain tissue samples, and observed that the mRNA expression of CREB1 was significantly downregulated in psychiatric patients compared with healthy controls. The protein-protein interaction analyses showed that the protein encoded by CREB1 directly interacted with several risk genes of psychiatric disorders identified by GWAS. In conclusion, the current study suggests that CREB1 might be a common risk gene for major psychiatric disorders, and further investigations are necessary.
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Affiliation(s)
- X Xiao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - C Zhang
- Schizophrenia Program, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania.
| | - L Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - L Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - D Zhou
- Ningbo Kangning Hospital, Ningbo, China
| | - T-F Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Department of Pharmacology, and Provincial Key Laboratory of Pathophysiology in Ningbo University School of Medicine, Ningbo, China
| | - H Chang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Wu
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China
| | - Y Li
- Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China
| | - D-D Wu
- State Key Laboratory of Genetic Resources and Evolution, Chinese Academy of Sciences, Kunming, China
| | - Y-G Yao
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - M Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
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10
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Tomioka Y, Jiménez E, Salagre E, Arias B, Mitjans M, Ruiz V, Sáiz P, García-Portilla MP, de la Fuente L, Gomes-da-Costa SP, Bobes J, Vieta E, Benabarre A, Grande I. Association between genetic variation in the myo-inositol monophosphatase 2 (IMPA2) gene and age at onset of bipolar disorder. J Affect Disord 2018; 232:229-236. [PMID: 29499505 DOI: 10.1016/j.jad.2018.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 12/18/2017] [Accepted: 02/11/2018] [Indexed: 11/25/2022]
Abstract
INTRODUCTION The age at onset of bipolar disorder (BD) has significant implications for severity, duration of affective episodes, response to treatment, and psychiatric comorbidities. It has been suggested that early-onset BD (EO-BD) could represent a clinically distinct subtype with probable genetic risk factors different from those of late-onset BD (LO-BD). To date, several genes have been associated with BD risk but few studies have investigated the genetic differences between EO-BD and LO-BD. The aim of this study was to evaluate if variants of the gene coding for myo-inositol monophosphatase (IMPA2) are linked to age at onset of BD. METHOD 235 bipolar patients were recruited and assessed. The final sample consisting of 192 euthymic individuals, was compared according to the age at onset. Polymorphisms were genotyped in the IMPA2 gene (rs669838, rs1020294, rs1250171, and rs630110). Early-onset was defined by the appearance of a first affective episode before the age of 18. RESULTS The analyses showed that in the genotype distribution rs1020294 (p = .01) and rs1250171 (p = .01) were associated with the age at onset. The significant effect remained only in the rs1020294 SNP in which G carriers were more likely to debut later compared to patients presenting the AA genotype (p = .002; OR = 9.57, CI95%[2.37-38.64]). The results also showed that EO-BD tended to experience more alcohol misuse (p = .003; OR = .197, CI95%[.07-.58]) compared to LO-BD. CONCLUSIONS Our results provide evidence for genetic differences between EO-BD and LO-BD at the IMPA2 gene as well as clinical differences between subgroups with therapeutic implications.
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Affiliation(s)
- Yoko Tomioka
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Esther Jiménez
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Estela Salagre
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Bárbara Arias
- Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, CIBERSAM, Barcelona, Spain
| | - Marina Mitjans
- Departament Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Institut de Biomedicina de la Universitat de Barcelona (IBUB), Universitat de Barcelona, CIBERSAM, Barcelona, Spain; Clinical Neuroscience, Max Planck Institute of Experimen tal Medicine, Göttingen, Germany
| | - Victoria Ruiz
- Institut Clinic de Neurociencies, Hospital Clinic, Barcelona, Catalonia, Spain
| | - Pilar Sáiz
- Department of Psychiatry, School of Medicine, University of Oviedo, CIBERSAM Instituto de Neurociencias del Principado de Asturias, INEUROPA, Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - María Paz García-Portilla
- Department of Psychiatry, School of Medicine, University of Oviedo, CIBERSAM Instituto de Neurociencias del Principado de Asturias, INEUROPA, Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Lorena de la Fuente
- Department of Psychiatry, School of Medicine, University of Oviedo, CIBERSAM Instituto de Neurociencias del Principado de Asturias, INEUROPA, Oviedo, Spain
| | - Susana Patricia Gomes-da-Costa
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Julio Bobes
- Department of Psychiatry, School of Medicine, University of Oviedo, CIBERSAM Instituto de Neurociencias del Principado de Asturias, INEUROPA, Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain
| | - Eduard Vieta
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | - Antoni Benabarre
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Iria Grande
- Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
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11
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Manchia M, Maina G, Carpiniello B, Pinna F, Steardo L, D'Ambrosio V, Salvi V, Alda M, Tortorella A, Albert U. Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups. Int J Bipolar Disord 2017; 5:28. [PMID: 28480486 PMCID: PMC5563503 DOI: 10.1186/s40345-017-0097-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 04/26/2017] [Indexed: 11/21/2022] Open
Abstract
Background Admixture analysis of age at onset (AAO) has helped delineating the clinical profile of early onset (EO) bipolar disorder (BD). However, there is scarce evidence comparing the distributional properties of AAO as well as the clinical features of EO BD type 1 (BD1) with EO BD type 2 (BD2). To this end, we studied 515 BD patients (224 BD1, 279 BD2, and 12 BD not otherwise specified [NOS]) diagnosed according to DSM-IV-TR criteria. Methods AAO was defined as the first reliably diagnosed hypo/manic or depressive episode according to diagnostic criteria. We used normal distribution mixture analysis to identify subgroups of patients according to AAO. Models were chosen according to the Schwarz’s Bayesian information criteria (BIC). Clinical correlates of EO were analysed using univariate tests and multivariate logistic regression models. Results A two normal components model best fitted the observed distribution of AAO in BD1 (BIC = −1599.3), BD2 (BIC = −2158.4), and in the whole sample (BIC = −3854.9). A higher number of EO BD2 patients had a depression-(hypo)mania-free interval (DMI) course, while a higher rate of (hypo)mania-depression-free interval (MDI) course was found in EO BD1. EO BD2 had also a higher rate of comorbidity with alcohol dependence compared to EO BD1. The latter finding was confirmed by multivariate logistic regression analysis. Conclusions In conclusion, both BD1 and BD2 had bimodal AAO distributions, but EO subgroups had a diagnostic-specific clinical delineation.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy. .,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
| | - Giuseppe Maina
- Department of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy
| | - Luca Steardo
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - Virginia D'Ambrosio
- Department of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy
| | - Virginio Salvi
- Department of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | | | - Umberto Albert
- Rita Levi Montalcini Department of Neuroscience, Anxiety and Mood Disorders Unit, University of Turin, Turin, Italy
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12
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Nowrouzi B, McIntyre RS, MacQueen G, Kennedy SH, Kennedy JL, Ravindran A, Yatham L, De Luca V. Admixture analysis of age at onset in first episode bipolar disorder. J Affect Disord 2016; 201:88-94. [PMID: 27182964 DOI: 10.1016/j.jad.2016.04.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Revised: 03/06/2016] [Accepted: 04/11/2016] [Indexed: 11/28/2022]
Abstract
BACKGROUND Many studies have used the admixture analysis to separate age-at-onset (AAO) subgroups in bipolar disorder, but none of them examined first episode patients. OBJECTIVE The purpose of this study was to investigate the influence of clinical variables on AAO in first episode bipolar patients. METHODS The admixture analysis was applied to identify the model best fitting the observed AAO distribution of a sample of 194 patients with DSM-IV diagnosis of bipolar disorder and the finite mixture model was applied to assess the effect of clinical covariates on AAO. RESULTS Using the BIC method, the model that was best fitting the observed distribution of AAO was a mixture of three normal distributions. We identified three AAO groups: early age-at-onset (EAO) (µ=18.0, σ=2.88), intermediate-age-at-onset (IAO) (µ=28.7, σ=3.5), and late-age-at-onset (LAO) (µ=47.3, σ=7.8), comprising 69%, 22%, and 9% of the sample respectively. Our first episode sample distribution model was significantly different from most of the other studies that applied the mixture analysis. LIMITATIONS The main limitation is that our sample may have inadequate statistical power to detect the clinical associations with the AAO subgroups. CONCLUSIONS This study confirms that bipolar disorder can be classified into three groups based on AAO distribution. The data reported in our paper provide more insight into the diagnostic heterogeneity of bipolar disorder across the three AAO subgroups.
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Affiliation(s)
- Behdin Nowrouzi
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Centre for Research in Occupational Safety and Health, Laurentian University, Sudbury, Ontario, Canada
| | - Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; University Health Network in Toronto, Ontario, Canada
| | | | - Sidney H Kennedy
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; University Health Network in Toronto, Ontario, Canada
| | - James L Kennedy
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Arun Ravindran
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Lakshmi Yatham
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Vincenzo De Luca
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
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13
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The specificity of the familial aggregation of early-onset bipolar disorder: A controlled 10-year follow-up study of offspring of parents with mood disorders. J Affect Disord 2016; 190:26-33. [PMID: 26480208 DOI: 10.1016/j.jad.2015.10.005] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 09/29/2015] [Accepted: 10/02/2015] [Indexed: 11/24/2022]
Abstract
BACKGROUND Two major sources of heterogeneity of mood disorders that have been demonstrated in clinical, family and genetic studies are the mood disorder subtype (i.e. bipolar (BPD) and major depressive disorder (MDD)) and age of onset of mood episodes. Using a prospective high-risk study design, our aims were to test the specificity of the parent-child transmission of BPD and MDD and to establish the risk of psychopathology in offspring in function of the age of onset of the parental disorder. METHODS Clinical information was collected on 208 probands (n=81 with BPD, n=64 with MDD, n=63 medical controls) as well as their 202 spouses and 372 children aged 6-17 years at study entry. Parents and children were directly interviewed every 3 years (mean duration of follow-up=10.6 years). Parental age of onset was dichotomized at age 21. RESULTS Offspring of parents with early onset BPD entailed a higher risk of BPD HR=7.9(1.8-34.6) and substance use disorders HR=5.0(1.1-21.9) than those with later onset and controls. Depressive disorders were not significantly increased in offspring regardless of parental mood disorder subtype or age of onset. LIMITATIONS Limited sample size, age of onset in probands was obtained retrospectively, age of onset in co-parents was not adequately documented, and a quarter of the children had no direct interview. CONCLUSIONS Our results provide support for the independence of familial aggregation of BPD from MDD and the heterogeneity of BPD based on patterns of onset. Future studies should further investigate correlates of early versus later onset BPD.
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Grigoroiu-Serbanescu M, Diaconu CC, Heilmann-Heimbach S, Neagu AI, Becker T. Association of age-of-onset groups with GWAS significant schizophrenia and bipolar disorder loci in Romanian bipolar I patients. Psychiatry Res 2015; 230:964-7. [PMID: 26596365 DOI: 10.1016/j.psychres.2015.11.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 10/28/2015] [Accepted: 11/04/2015] [Indexed: 10/22/2022]
Abstract
We investigated the influence of the age-of-onset (AO) on the association of 45 loci conferring risk for bipolar disorder (BP) and schizophrenia with BP-type-I in a Romanian sample (461 patients, 436 controls). The AO-analysis implicated the EGFR gene, as well as loci in other genes, in the AO variation of BP-type-I and revealed for the first time the link between BP-type-I and risk variants considered specific to schizophrenia (polymorphisms in MMP16/RIPK2 and CNNM2 genes).
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Affiliation(s)
- Maria Grigoroiu-Serbanescu
- Alexandru Obregia Clinical Psychiatric Hospital, Biometric Psychiatric Genetics Research Unit, Bucharest, Romania.
| | | | | | | | - Tim Becker
- Institute for Community Medicine, Ernst Moritz Arndt University Greifswald, D-17475 Greifswald, Germany
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Kennedy KP, Cullen KR, DeYoung CG, Klimes-Dougan B. The genetics of early-onset bipolar disorder: A systematic review. J Affect Disord 2015; 184:1-12. [PMID: 26057335 PMCID: PMC5552237 DOI: 10.1016/j.jad.2015.05.017] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Revised: 04/20/2015] [Accepted: 05/07/2015] [Indexed: 01/19/2023]
Abstract
BACKGROUND Early-onset bipolar disorder has been associated with a significantly worse prognosis than late-onset BD and has been hypothesized to be a genetically homogenous subset of BD. A sizeable number of studies have investigated early-onset BD through linkage-analyses, candidate-gene association studies, genome-wide association studies (GWAS), and analyses of copy number variants (CNVs), but this literature has not yet been reviewed. METHODS A systematic review was conducted using the PubMed database on articles published online before January 15, 2015 and after 1990. Separate searches were made for linkage studies, candidate gene-association studies, GWAS, and studies on CNVs. RESULTS Seventy-three studies were included in our review. There is a lack of robust positive findings on the genetics of early-onset BD in any major molecular genetics method. LIMITATIONS Early-onset populations were quite small in some studies. Variance in study methods hindered efforts to interpret results or conduct meta-analysis. CONCLUSIONS The field is still at an early phase for research on early-onset BD. The largely null findings mirror the results of most genetics research on BD. Although most studies were underpowered, the null findings could mean that early-onset BD may not be as genetically homogenous as has been hypothesized or even that early-onset BD does not differ genetically from adult-onset BD. Nevertheless, clinically the probabilistic developmental risk trajectories associated with early-onset that may not be primarily genetically determined continued to warrant scrutiny. Future research should dramatically expand sample sizes, use atheoretical research methods like GWAS, and standardize methods.
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