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Mansour HA, Talkowski ME, Wood J, Chowdari KV, McClain L, Prasad K, Montrose D, Fagiolini A, Friedman ES, Allen MH, Bowden CL, Calabrese J, El-Mallakh RS, Escamilla M, Faraone SV, Fossey MD, Gyulai L, Loftis JM, Hauser P, Ketter TA, Marangell LB, Miklowitz DJ, Nierenberg AA, Patel J, Sachs GS, Sklar P, Smoller JW, Laird N, Keshavan M, Thase ME, Axelson D, Birmaher B, Lewis D, Monk T, Frank E, Kupfer DJ, Devlin B, Nimgaonkar VL. Association study of 21 circadian genes with bipolar I disorder, schizoaffective disorder, and schizophrenia. Bipolar Disord 2009; 11:701-10. [PMID: 19839995 PMCID: PMC3401899 DOI: 10.1111/j.1399-5618.2009.00756.x] [Citation(s) in RCA: 114] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Published studies suggest associations between circadian gene polymorphisms and bipolar I disorder (BPI), as well as schizoaffective disorder (SZA) and schizophrenia (SZ). The results are plausible, based on prior studies of circadian abnormalities. As replications have not been attempted uniformly, we evaluated representative, common polymorphisms in all three disorders. METHODS We assayed 276 publicly available 'tag' single nucleotide polymorphisms (SNPs) at 21 circadian genes among 523 patients with BPI, 527 patients with SZ/SZA, and 477 screened adult controls. Detected associations were evaluated in relation to two published genome-wide association studies (GWAS). RESULTS Using gene-based tests, suggestive associations were noted between EGR3 and BPI (p = 0.017), and between NPAS2 and SZ/SZA (p = 0.034). Three SNPs were associated with both sets of disorders (NPAS2: rs13025524 and rs11123857; RORB: rs10491929; p < 0.05). None of the associations remained significant following corrections for multiple comparisons. Approximately 15% of the analyzed SNPs overlapped with an independent study that conducted GWAS for BPI; suggestive overlap between the GWAS analyses and ours was noted at ARNTL. CONCLUSIONS Several suggestive, novel associations were detected with circadian genes and BPI and SZ/SZA, but the present analyses do not support associations with common polymorphisms that confer risk with odds ratios greater than 1.5. Additional analyses using adequately powered samples are warranted to further evaluate these results.
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Affiliation(s)
- Hader A Mansour
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Michael E Talkowski
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Kodavali V Chowdari
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Lora McClain
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Konasale Prasad
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Debra Montrose
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Andrea Fagiolini
- Department of Neuroscience, University of Siena School of Medicine, Siena, Italy
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Michael H Allen
- Department of Psychiatry, University of Colorado Depression Center, Denver, CO
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Joseph Calabrese
- Department of Psychiatry, Case University School of Medicine, Mood Disorders Program, University Hospitals of Cleveland, Cleveland, OH
| | - Rif S El-Mallakh
- Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, KY
| | - Michael Escamilla
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Stephen V Faraone
- Department of Psychiatry and Human Behavior, SUNY Upstate Medical University, Syracuse, NY
| | - Mark D Fossey
- Department of Psychiatry, University of Oklahoma-Tulsa, Tulsa, OK
| | - Laszlo Gyulai
- Department of Psychiatry, University of Pennsylvania Medical Center, Philadelphia, PA
| | - Jennifer M Loftis
- Behavioral Health & Clinical Neurosciences Division, Portland VA Medical Center, Oregon Health and Science University, Portland, OR,Department of Psychiatry, Oregon Health and Science University, Portland, OR
| | - Peter Hauser
- Behavioral Health & Clinical Neurosciences Division, Portland VA Medical Center, Oregon Health and Science University, Portland, OR,Department of Psychiatry, Oregon Health and Science University, Portland, OR,Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR
| | - Terence A Ketter
- Bipolar Disorders Clinic, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | | | | | - Andrew A Nierenberg
- Clinical Depression and Research Program, Department of Psychiatry Harvard Medical School, Massachusetts General Hospital, Boston
| | - Jayendra Patel
- Schizophrenia Research Program, Bipolar Disorder Program and Center for Psychopharmacology Research and Treatment, Department of Psychiatry, University of Massachusetts Medical School, Worcester
| | - Gary S Sachs
- Bipolar Clinic and Research Program, Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA
| | - Pamela Sklar
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Jordan W Smoller
- Department of Psychiatry, Psychiatric Genetics Program in Mood and Anxiety Disorders, Massachusetts General Hospital, Boston, MA
| | - Nan Laird
- Department of Biostatistics, Harvard School of Public Health, Boston, MA
| | - Matcheri Keshavan
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Michael E Thase
- University of Pennsylvania School of Medicine, Philadelphia VA Medical Center, Philadelphia, PA, USA
| | - David Axelson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - David Lewis
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Tim Monk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Ellen Frank
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - David J Kupfer
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Bernie Devlin
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic
| | - Vishwajit L Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic,Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
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Tang R, Zhao X, Fang C, Tang W, Huang K, Wang L, Li H, Feng G, Zhu S, Liu H, He L, Shi Y. Investigation of variants in the promoter region of PIK3C3 in schizophrenia. Neurosci Lett 2008; 437:42-4. [PMID: 18420347 DOI: 10.1016/j.neulet.2008.03.043] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2007] [Revised: 03/13/2008] [Accepted: 03/18/2008] [Indexed: 11/16/2022]
Abstract
The PIK3C3 gene has been implicated as a candidate gene for schizophrenia by functional evidence and genetic association studies. A series of previous studies have found susceptibility SNPs in promoter region. To further verify its susceptibility to schizophrenia in the Chinese population and the function of the polymorphisms, we performed a case control study in 556 unrelated schizophrenia patients and 563 normal controls as well as an in vitro functional analysis. In our association analysis of-432C-/T, we discovered obvious differences in allele frequency between patients and controls (P=0.017). A T/C haplotype constructed by -432C-/T and -86insC, which are tightly linked with each other (r(2)=1) can significantly weaken promoter's transcriptional activity by 20% (p=0.002 by t-test). Though we cannot exclude the possibility that susceptibility of -432C-/T is caused by its linkage disequilibrium with other causal variants, our results do support PIK3C3 play a significant role in the etiology of schizophrenia.
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Affiliation(s)
- Ruqi Tang
- Bio-X Center, Shanghai Jiao Tong University, Shanghai, China
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Arai M, Itokawa M, Yamada K, Toyota T, Arai M, Haga S, Ujike H, Sora I, Ikeda K, Yoshikawa T. Association of neural cell adhesion molecule 1 gene polymorphisms with bipolar affective disorder in Japanese individuals. Biol Psychiatry 2004; 55:804-10. [PMID: 15050861 DOI: 10.1016/j.biopsych.2004.01.009] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2003] [Revised: 11/20/2003] [Accepted: 01/09/2004] [Indexed: 11/22/2022]
Abstract
BACKGROUND Although the pathogenesis of mood disorders remains unclear, heritable factors have been shown to be involved. Neural cell adhesion molecule 1 (NCAM1) is known to play important roles in cell migration, neurite growth, axonal guidance, and synaptic plasticity. Disturbance of these neurodevelopmental processes is proposed as one etiology for mood disorder. We therefore undertook genetic analysis of NCAM1 in mood disorders. METHODS We determined the complete genomic organization of human NCAM1 gene by comparing complementary deoxyribonucleic acid and genomic sequences; mutation screening detected 11 polymorphisms. The genotypic, allelic, and haplotype distributions of these variants were analyzed in unrelated control individuals (n = 357) and patients with bipolar disorder (n = 151) and unipolar disorder (n = 78), all from central Japan. RESULTS Three single nucleotide polymorphisms, IVS6+32T>C, IVS7+11G>C and IVS12+21C>A, displayed significant associations with bipolar disorder (for allelic associations, nominal p =.04, p =.02, and p =.004, respectively, all p >.05 after Bonferroni corrections). Furthermore, the haplotype located in a linkage disequilibrium block was strongly associated with bipolar disorder (the p value of the most significant three-marker haplotype is .005). CONCLUSIONS Our results suggest that genetic variations in NCAM1 or nearby genes could confer risks associated with bipolar affective disorder in Japanese individuals.
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Affiliation(s)
- Makoto Arai
- Department of Schizophrenia Research, Tokyo Metropolitan Organization for Medical Research, Tokyo Institute of Psychiatry, 2-1-8 Kamikitazawa, Setagaya-ku, Tokyo 156-8585, Japan
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