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Feng Y, Sun L, Dang X, Liu D, Liao Z, Yao J, Zhang Y, Deng Z, Li J, Zhao M, Liu F. Aberrant glycosylation in schizophrenia: insights into pathophysiological mechanisms and therapeutic potentials. Front Pharmacol 2024; 15:1457811. [PMID: 39286629 PMCID: PMC11402814 DOI: 10.3389/fphar.2024.1457811] [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] [Received: 07/01/2024] [Accepted: 08/22/2024] [Indexed: 09/19/2024] Open
Abstract
Schizophrenia (SCZ) is a severe neuropsychiatric disorder characterized by cognitive, affective, and social dysfunction, resulting in hallucinations, delusions, emotional blunting, and disordered thinking. In recent years, proteomics has been increasingly influential in SCZ research. Glycosylation, a key post-translational modification, can alter neuronal stability and normal signaling in the nervous system by affecting protein folding, stability, and cellular signaling. Recent research evidence suggests that abnormal glycosylation patterns exist in different brain regions in autopsy samples from SCZ patients, and that there are significant differences in various glycosylation modification types and glycosylation modifying enzymes. Therefore, this review explores the mechanisms of aberrant modifications of N-glycosylation, O-glycosylation, glycosyltransferases, and polysialic acid in the brains of SCZ patients, emphasizing their roles in neurotransmitter receptor function, synaptic plasticity, and neural adhesion. Additionally, the effects of antipsychotic drugs on glycosylation processes and the potential for glycosylation-targeted therapies are discussed. By integrating these findings, this review aims to provide a comprehensive perspective to further understand the role of aberrant glycosylation modifications in the pathophysiology of SCZ.
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Affiliation(s)
- Yanchen Feng
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Lu Sun
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Xue Dang
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Diyan Liu
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Ziyun Liao
- College of Acupuncture, Moxibustion and Tuina, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jianping Yao
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yunke Zhang
- School of Rehabilitation Medicine, Henan University of Chinese Medicine, Zhengzhou, China
| | - Ziqi Deng
- School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, China
| | - Jinyao Li
- Traditional Chinese Medicine (Zhong Jing) School, Henan University of Chinese Medicine, Zhengzhou, China
| | - Min Zhao
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
- Hospital of Encephalopathy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
| | - Feixiang Liu
- The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, China
- Hospital of Encephalopathy, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China
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2
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Drevet JR, Hallak J, Nasr-Esfahani MH, Aitken RJ. Reactive Oxygen Species and Their Consequences on the Structure and Function of Mammalian Spermatozoa. Antioxid Redox Signal 2022; 37:481-500. [PMID: 34913729 DOI: 10.1089/ars.2021.0235] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Significance: Among the 200 or so cell types that comprise mammals, spermatozoa have an ambiguous relationship with the reactive oxygen species (ROS) inherent in the consumption of oxygen that supports aerobic metabolism. Recent Advances: In this review, we shall see that spermatozoa need the action of ROS to reach their structural and functional maturity, but that due to intrinsic unique characteristics, they are, perhaps more than any other cell type, susceptible to oxidative damage. Recent studies have improved our knowledge of how oxidative damage affects sperm structures and functions. The focus of this review will be on how genetic and epigenetic oxidative alterations to spermatozoa can have dramatic unintended consequences in terms of both the support and the suppression of sperm function. Critical Issues: Oxidative stress can have dramatic consequences not only for the spermatozoon itself, but also, and above all, on its primary objective, which is to carry out fertilization and to ensure, in part, that the embryonic development program should lead to a healthy progeny. Future Directions: Sperm oxidative DNA damage largely affects the integrity of the paternal genetic material to such an extent that the oocyte may have difficulties in correcting it. Diagnostic and therapeutic actions should be considered more systematically, especially in men with difficulties to conceive. Research is underway to determine whether the epigenetic information carried by spermatozoa is also subject to changes mediated by pro-oxidative situations. Antioxid. Redox Signal. 37, 481-500.
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Affiliation(s)
- Joël R Drevet
- Faculty of Medicine, GReD Institute, INSERM U1103-CNRS UMR6293-Université Clermont Auvergne, Clermont-Ferrand, France
| | - Jorge Hallak
- Androscience, Science and Innovation Center in Andrology and High-Complex Clinical and Research Andrology Laboratory, São Paulo, Brazil.,Division of Urology, University of São Paulo, São Paulo, Brazil.,Men's Health Study Group, Institute for Advanced Studies, University of São Paulo, São Paulo, Brazil.,Reproductive Toxicology Unit, Department of Pathology, University of São Paulo, São Paulo, Brazil
| | - Mohammad-Hossein Nasr-Esfahani
- Department of Animal Biotechnology, Reproductive Biomedicine Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran.,Isfahan Fertility and Infertility Center, Isfahan, Iran
| | - Robert J Aitken
- Faculty of Science and Priority Research Center for Reproductive Sciences, The University of Newcastle, Callaghan, Australia.,Faculty of Health and Medicine, Priority Research Center for Reproductive Sciences, The University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia
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3
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Aitken RJ. Role of sperm DNA damage in creating de novo mutations in human offspring: the ‘post-meiotic oocyte collusion’ hypothesis. Reprod Biomed Online 2022; 45:109-124. [PMID: 35513995 DOI: 10.1016/j.rbmo.2022.03.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 11/24/2022]
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Murphy F, Nasa A, Cullinane D, Raajakesary K, Gazzaz A, Sooknarine V, Haines M, Roman E, Kelly L, O'Neill A, Cannon M, Roddy DW. Childhood Trauma, the HPA Axis and Psychiatric Illnesses: A Targeted Literature Synthesis. Front Psychiatry 2022; 13:748372. [PMID: 35599780 PMCID: PMC9120425 DOI: 10.3389/fpsyt.2022.748372] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 04/07/2022] [Indexed: 11/13/2022] Open
Abstract
Studies of early life stress (ELS) demonstrate the long-lasting effects of acute and chronic stress on developmental trajectories. Such experiences can become biologically consolidated, creating individual vulnerability to psychological and psychiatric issues later in life. The hippocampus, amygdala, and the medial prefrontal cortex are all important limbic structures involved in the processes that undermine mental health. Hyperarousal of the sympathetic nervous system with sustained allostatic load along the Hypothalamic Pituitary Adrenal (HPA) axis and its connections has been theorized as the basis for adult psychopathology following early childhood trauma. In this review we synthesize current understandings and hypotheses concerning the neurobiological link between childhood trauma, the HPA axis, and adult psychiatric illness. We examine the mechanisms at play in the brain of the developing child and discuss how adverse environmental stimuli may become biologically incorporated into the structure and function of the adult brain via a discussion of the neurosequential model of development, sensitive periods and plasticity. The HPA connections and brain areas implicated in ELS and psychopathology are also explored. In a targeted review of HPA activation in mood and psychotic disorders, cortisol is generally elevated across mood and psychotic disorders. However, in bipolar disorder and psychosis patients with previous early life stress, blunted cortisol responses are found to awakening, psychological stressors and physiological manipulation compared to patients without previous early life stress. These attenuated responses occur in bipolar and psychosis patients on a background of increased cortisol turnover. Although cortisol measures are generally raised in depression, the evidence for a different HPA activation profile in those with early life stress is inconclusive. Further research is needed to explore the stress responses commonalities between bipolar disorder and psychosis in those patients with early life stress.
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Affiliation(s)
- Felim Murphy
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Anurag Nasa
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Kesidha Raajakesary
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Areej Gazzaz
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Vitallia Sooknarine
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Madeline Haines
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Elena Roman
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Linda Kelly
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Aisling O'Neill
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Mary Cannon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Darren William Roddy
- Department of Psychiatry, Trinity College Institute for Neuroscience, Trinity College Dublin, Dublin, Ireland
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Cleverley K, Lee WC, Mumford P, Collins T, Rickman M, Cunningham TJ, Cleak J, Mianne J, Szoke-Kovacs Z, Stewart M, Teboul L, Maduro C, Wells S, Wiseman FK, Fisher EMC. A novel knockout mouse for the small EDRK-rich factor 2 (Serf2) showing developmental and other deficits. Mamm Genome 2021; 32:94-103. [PMID: 33713180 PMCID: PMC8012326 DOI: 10.1007/s00335-021-09864-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 02/22/2021] [Indexed: 11/29/2022]
Abstract
The small EDRK-rich factor 2 (SERF2) is a highly conserved protein that modifies amyloid fibre assembly in vitro and promotes protein misfolding. However, the role of SERF2 in regulating age-related proteotoxicity remains largely unexplored due to a lack of in vivo models. Here, we report the generation of Serf2 knockout mice using an ES cell targeting approach, with Serf2 knockout alleles being bred onto different defined genetic backgrounds. We highlight phenotyping data from heterozygous Serf2+/− mice, including unexpected male-specific phenotypes in startle response and pre-pulse inhibition. We report embryonic lethality in Serf2−/− null animals when bred onto a C57BL/6 N background. However, homozygous null animals were viable on a mixed genetic background and, remarkably, developed without obvious abnormalities. The Serf2 knockout mice provide a powerful tool to further investigate the role of SERF2 protein in previously unexplored pathophysiological pathways in the context of a whole organism.
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Affiliation(s)
- Karen Cleverley
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK
| | - Weaverly Colleen Lee
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK
| | - Paige Mumford
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK.,The UK Dementia Research Institute, University College London, Queen Square, London, WC1N 3BG, UK
| | - Toby Collins
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK
| | - Matthew Rickman
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK
| | | | | | - Joffrey Mianne
- Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK
| | | | | | | | - Cheryl Maduro
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK
| | - Sara Wells
- Mary Lyon Centre, MRC Harwell Institute, Oxfordshire, OX11 0RD, UK
| | - Frances K Wiseman
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK.,The UK Dementia Research Institute, University College London, Queen Square, London, WC1N 3BG, UK
| | - Elizabeth M C Fisher
- Department of Neuromuscular Diseases, Queen Square Institute of Neurology, London, UK.
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6
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Xavier MJ, Nixon B, Roman SD, Scott RJ, Drevet JR, Aitken RJ. Paternal impacts on development: identification of genomic regions vulnerable to oxidative DNA damage in human spermatozoa. Hum Reprod 2019; 34:1876-1890. [DOI: 10.1093/humrep/dez153] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 07/03/2019] [Indexed: 12/13/2022] Open
Abstract
Abstract
STUDY QUESTION
Do all regions of the paternal genome within the gamete display equivalent vulnerability to oxidative DNA damage?
SUMMARY ANSWER
Oxidative DNA damage is not randomly distributed in mature human spermatozoa but is instead targeted, with particular chromosomes being especially vulnerable to oxidative stress.
WHAT IS KNOWN ALREADY
Oxidative DNA damage is frequently encountered in the spermatozoa of male infertility patients. Such lesions can influence the incidence of de novo mutations in children, yet it remains to be established whether all regions of the sperm genome display equivalent susceptibility to attack by reactive oxygen species.
STUDY DESIGN, SIZE, DURATION
Human spermatozoa obtained from normozoospermic males (n = 8) were split into equivalent samples and subjected to either hydrogen peroxide (H2O2) treatment or vehicle controls before extraction of oxidized DNA using a modified DNA immunoprecipitation (MoDIP) protocol. Specific regions of the genome susceptible to oxidative damage were identified by next-generation sequencing and validated in the spermatozoa of normozoospermic males (n = 18) and in patients undergoing infertility evaluation (n = 14).
PARTICIPANTS/MATERIALS, SETTING, METHODS
Human spermatozoa were obtained from normozoospermic males and divided into two identical samples prior to being incubated with either H2O2 (5 mm, 1 h) to elicit oxidative stress or an equal volume of vehicle (untreated controls). Alternatively, spermatozoa were obtained from fertility patients assessed as having high basal levels of oxidative stress within their spermatozoa. All semen samples were subjected to MoDIP to selectively isolate oxidized DNA, prior to sequencing of the resultant DNA fragments using a next-generation whole-genomic sequencing platform. Bioinformatic analysis was then employed to identify genomic regions vulnerable to oxidative damage, several of which were selected for real-time quantitative PCR (qPCR) validation.
MAIN RESULTS AND THE ROLE OF CHANCE
Approximately 9000 genomic regions, 150–1000 bp in size, were identified as highly vulnerable to oxidative damage in human spermatozoa. Specific chromosomes showed differential susceptibility to damage, with chromosome 15 being particularly sensitive to oxidative attack while the sex chromosomes were protected. Susceptible regions generally lay outside protamine- and histone-packaged domains. Furthermore, we confirmed that these susceptible genomic sites experienced a dramatic (2–15-fold) increase in their burden of oxidative DNA damage in patients undergoing infertility evaluation compared to normal healthy donors.
LIMITATIONS, REASONS FOR CAUTION
The limited number of samples analysed in this study warrants external validation, as do the implications of our findings. Selection of male fertility patients was based on high basal levels of oxidative stress within their spermatozoa as opposed to specific sub-classes of male factor infertility.
WIDER IMPLICATIONS OF THE FINDINGS
The identification of genomic regions susceptible to oxidation in the male germ line will be of value in focusing future analyses into the mutational load carried by children in response to paternal factors such as age, the treatment of male infertility using ART and paternal exposure to environmental toxicants.
STUDY FUNDING/COMPETING INTEREST(S)
Project support was provided by the University of Newcastle’s (UoN) Priority Research Centre for Reproductive Science. M.J.X. was a recipient of a UoN International Postgraduate Research Scholarship. B.N. is the recipient of a National Health and Medical Research Council of Australia Senior Research Fellowship. Authors declare no conflict of interest.
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Affiliation(s)
- M J Xavier
- Priority Research Centre for Reproductive Science, Faculty of Science, The University of Newcastle, Callaghan, NSW, Australia
| | - B Nixon
- Priority Research Centre for Reproductive Science, Faculty of Science, The University of Newcastle, Callaghan, NSW, Australia
| | - S D Roman
- Priority Research Centre for Reproductive Science, Faculty of Science, The University of Newcastle, Callaghan, NSW, Australia
- Priority Research Centre for Drug Development, Faculty of Science, The University of Newcastle, Callaghan, NSW, Australia
| | - R J Scott
- Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia
- Medical Genetics, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - J R Drevet
- GReD Laboratory, CNRS UMR6293—INSERM U1103—Clermont Université, Clermont-Ferrand, France
| | - R J Aitken
- Priority Research Centre for Reproductive Science, Faculty of Science, The University of Newcastle, Callaghan, NSW, Australia
- Faculty of Health and Medicine, The University of Newcastle, Callaghan, NSW, Australia
- Medical Genetics, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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7
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Bärenwaldt A, Läubli H. The sialoglycan-Siglec glyco-immune checkpoint - a target for improving innate and adaptive anti-cancer immunity. Expert Opin Ther Targets 2019; 23:839-853. [PMID: 31524529 DOI: 10.1080/14728222.2019.1667977] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Introduction: During cancer progression, tumor cells develop several mechanisms to prevent killing and to shape the immune system into a tumor-promoting environment. One of such regulatory mechanism is the overexpression of sialic acid (Sia) on carbohydrates of proteins and lipids on tumor cells. Sia-containing glycans or sialoglycans were shown to inhibit immune effector functions of NK cells and T cells by engaging inhibitory Siglec receptors on the surface of these cells. They can also modulate the differentiation of myeloid cells into tumor-promoting M2 macrophages. Areas covered: We review the role of sialoglycans in cancer and introduce the Siglecs, their expression on different immune cells and their interaction with cancer-associated sialoglycans. The targeting of this sialoglycan-Siglec glyco-immune checkpoint is discussed along with potential therapeutic approaches. Pubmed was searched for publications on Siglecs, sialic acid, and cancer. Expert opinion: The targeting of sialoglycan-Siglec interactions has become a major focus in cancer research. New approaches have been developed that directly target sialic acids in tumor lesions. Targeted sialidases that cleave sialic acid specifically in the tumor, have already shown efficacy; efforts targeting the sialoglycan-Siglec pathway for improvement of CAR T cell therapy are ongoing. The sialoglycan-Siglec immune checkpoint is a promising new target for cancer immunotherapy.
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Affiliation(s)
- Anne Bärenwaldt
- Division of Medical Oncology, and Laboratory for Cancer Immunotherapy, Department of Biomedicine, University Hospital Basel , Basel , Switzerland
| | - Heinz Läubli
- Division of Medical Oncology, and Laboratory for Cancer Immunotherapy, Department of Biomedicine, University Hospital Basel , Basel , Switzerland
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8
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Salvoro C, Bortoluzzi S, Coppe A, Valle G, Feltrin E, Mostacciuolo ML, Vazza G. Rare Risk Variants Identification by Identity-by-Descent Mapping and Whole-Exome Sequencing Implicates Neuronal Development Pathways in Schizophrenia and Bipolar Disorder. Mol Neurobiol 2018; 55:7366-7376. [PMID: 29411265 DOI: 10.1007/s12035-018-0922-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 01/22/2018] [Indexed: 12/31/2022]
Abstract
Schizophrenia (SCZ) and bipolar disorder (BPD) are highly heritable disorders with an estimated co-heritability of 68%. Hundreds of common alleles have been implicated, but recently a role for rare, high-penetrant variants has been also suggested in both disorders. This study investigated a familial cohort of SCZ and BPD patients from a closed population sample, where the high recurrence of the disorders and the homogenous genetic background indicate a possible enrichment in rare risk alleles. A total of 230 subjects (161 cases, 22 unaffected relatives, and 47 controls) were genetically investigated through an innovative strategy that integrates identity-by-descent (IBD) mapping and whole-exome sequencing (WES). IBD analysis allowed to track high-risk haplotypes (IBDrisk) shared exclusively by multiple patients from different families and possibly carrying the most penetrant alleles. A total of 444 non-synonymous sequence variants, of which 137 disruptive, were identified in IBDrisk haplotypes by WES. Interestingly, gene sets previously implicated in SCZ (i.e., post-synaptic density (PSD) proteins, voltage-gated calcium channels (VGCCs), and fragile X mental retardation protein (FMRP) targets) were found significantly enriched in genes carrying IBDrisk variants. Further, IBDrisk variants were preferentially affecting genes involved in the extracellular matrix (ECM) biology and axon guidance processes which appeared to be functionally connected in the pathway-derived meta-network analysis. Results thus confirm rare risk variants as key factors in SCZ and BPD pathogenesis and highlight a role for the development of neuronal connectivity in the etiology of both disorders.
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Affiliation(s)
- C Salvoro
- Department of Biology, University of Padova, Padova, Italy
| | - S Bortoluzzi
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - A Coppe
- Department of Molecular Medicine, University of Padova, Padova, Italy
| | - G Valle
- Department of Biology, University of Padova, Padova, Italy
| | - E Feltrin
- Department of Biology, University of Padova, Padova, Italy
| | | | - G Vazza
- Department of Biology, University of Padova, Padova, Italy.
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9
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Porcelli S, Lee SJ, Han C, Patkar AA, Albani D, Jun TY, Pae CU, Serretti A. Hot Genes in Schizophrenia: How Clinical Datasets Could Help to Refine their Role. J Mol Neurosci 2017; 64:273-286. [DOI: 10.1007/s12031-017-1016-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 12/12/2017] [Indexed: 11/25/2022]
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10
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Yang SY, Baek JH, Cho Y, Cho EY, Choi Y, Kim Y, Park T, Hong KS. Effects of genetic variants of ST8SIA2 and NCAM1 genes on seasonal mood changes and circadian preference in the general population. Chronobiol Int 2017; 35:405-415. [PMID: 29215920 DOI: 10.1080/07420528.2017.1410827] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
ST8SIA2 and NCAM1 are functionally related genes forming polysialic acid (PSA) - neural cell adhesion molecule (NCAM) complex in suprachiasmatic nucleus (SCN), the regulating site of circadian biological rhythm. In this study, the relationship of ST8SIA2 and NCAM1 with circadian and seasonal rhythms of human behavior was explored. Subjects were 261 healthy Korean adults who were free of any history of clinically significant psychiatric symptoms. The phenotypes were circadian preference and seasonal change of mood and behavior (seasonality) measured by the Composite Scale of Morningness and the Seasonal Pattern Assessment Questionnaire, respectively. Thirty-four single nucleotide polymorphisms (SNPs) across the ST8SIA2 region and 15 SNPs of NCAM1 were analyzed. A nominally significant association with seasonality and circadian preference was observed in 21 variants of both genes. After corrections for multiple testing, associations of 8 SNPs of ST8SIA2 and 2 SNPs of NCAM1 with seasonality remained significant. Some of these SNPs were also associated with psychiatric disorders in previous studies. This study demonstrated a meaningful and/or suggestive evidence of association between behavioral phenotypes reflecting human biological rhythm and two interplaying genes involved in the plasticity of SCN's neuronal network.
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Affiliation(s)
- So Yung Yang
- a Department of Psychiatry , Sungkyunkwan University School of Medicine, Samsung Medical Center , Seoul , Korea
| | - Ji Hyun Baek
- a Department of Psychiatry , Sungkyunkwan University School of Medicine, Samsung Medical Center , Seoul , Korea
| | - Youngah Cho
- b Department of Psychiatry , Seoul National University Bundang Hospital , Kyunggi-Do , Korea
| | - Eun-Young Cho
- c Center for Clinical Research , Samsung Biomedical Research Institute , Seoul , Korea
| | - Yujin Choi
- c Center for Clinical Research , Samsung Biomedical Research Institute , Seoul , Korea
| | - Yongkang Kim
- d Department of Statistics , Seoul National University , Seoul , Korea
| | - Taesung Park
- d Department of Statistics , Seoul National University , Seoul , Korea
| | - Kyung Sue Hong
- a Department of Psychiatry , Sungkyunkwan University School of Medicine, Samsung Medical Center , Seoul , Korea.,c Center for Clinical Research , Samsung Biomedical Research Institute , Seoul , Korea
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11
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Abstract
Simple and complex carbohydrates (glycans) have long been known to play major metabolic, structural and physical roles in biological systems. Targeted microbial binding to host glycans has also been studied for decades. But such biological roles can only explain some of the remarkable complexity and organismal diversity of glycans in nature. Reviewing the subject about two decades ago, one could find very few clear-cut instances of glycan-recognition-specific biological roles of glycans that were of intrinsic value to the organism expressing them. In striking contrast there is now a profusion of examples, such that this updated review cannot be comprehensive. Instead, a historical overview is presented, broad principles outlined and a few examples cited, representing diverse types of roles, mediated by various glycan classes, in different evolutionary lineages. What remains unchanged is the fact that while all theories regarding biological roles of glycans are supported by compelling evidence, exceptions to each can be found. In retrospect, this is not surprising. Complex and diverse glycans appear to be ubiquitous to all cells in nature, and essential to all life forms. Thus, >3 billion years of evolution consistently generated organisms that use these molecules for many key biological roles, even while sometimes coopting them for minor functions. In this respect, glycans are no different from other major macromolecular building blocks of life (nucleic acids, proteins and lipids), simply more rapidly evolving and complex. It is time for the diverse functional roles of glycans to be fully incorporated into the mainstream of biological sciences.
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Affiliation(s)
- Ajit Varki
- Departments of Medicine and Cellular & Molecular Medicine, Glycobiology Research and Training Center, University of California at San Diego, La Jolla, CA 92093-0687, USA
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12
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Lorenzon A, Pilichou K, Rigato I, Vazza G, De Bortoli M, Calore M, Occhi G, Carturan E, Lazzarini E, Cason M, Mazzotti E, Poloni G, Mostacciuolo ML, Daliento L, Thiene G, Corrado D, Basso C, Bauce B, Rampazzo A. Homozygous Desmocollin-2 Mutations and Arrhythmogenic Cardiomyopathy. Am J Cardiol 2015; 116:1245-51. [PMID: 26310507 DOI: 10.1016/j.amjcard.2015.07.037] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 07/12/2015] [Accepted: 07/12/2015] [Indexed: 01/23/2023]
Abstract
Dominant mutations in desmocollin-2 (DSC2) gene cause arrhythmogenic cardiomyopathy (ACM), a progressive heart muscle disease characterized by ventricular tachyarrhythmias, heart failure, and risk of juvenile sudden death. Recessive mutations are rare and are associated with a cardiac or cardiocutaneous phenotype. Here, we evaluated the impact of a homozygous founder DSC2 mutation on clinical expression of ACM. An exon-by-exon analysis of the DSC2 coding region was performed in 94 ACM index patients. The c.536A>G (p.D179G) mutation was identified in 5 patients (5.3%), 4 of which resulted to be homozygous carriers. The 5 subjects shared a conserved haplotype, strongly indicating a common founder. Genetic and clinical investigation of probands' families revealed that p.D179G homozygous carriers displayed severe forms of biventricular cardiomyopathy without hair or skin abnormalities. The only heterozygous proband, who carried an additional variant of unknown significance in αT-catenin gene, showed a mild form of ACM without left ventricular involvement. All heterozygous family members were clinically asymptomatic. In conclusion, this is the first homozygous founder mutation in DSC2 gene identified among Italian ACM probands. Our findings provide further evidence of the occurrence of recessive DSC2 mutations in patients with ACM predominantly presenting with biventricular forms of the disease.
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13
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Shaw AD, Tiwari Y, Kaplan W, Heath A, Mitchell PB, Schofield PR, Fullerton JM. Characterisation of genetic variation in ST8SIA2 and its interaction region in NCAM1 in patients with bipolar disorder. PLoS One 2014; 9:e92556. [PMID: 24651862 PMCID: PMC3961385 DOI: 10.1371/journal.pone.0092556] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Accepted: 02/24/2014] [Indexed: 12/30/2022] Open
Abstract
Alpha-2,8-sialyltransferase 2 (ST8SIA2) is an enzyme responsible for the transfer of polysialic acid (PSA) to glycoproteins, principally the neuronal cell adhesion molecule (NCAM1), and is involved in neuronal plasticity. Variants within ST8SIA2 have previously shown association with bipolar disorder, schizophrenia and autism. In addition, altered PSA-NCAM expression in brains of patients with schizophrenia or bipolar disorder indicates a functional dysregulation of glycosylation in mental illness. To explore the role of sequence variation affecting PSA-NCAM formation, we conducted a targeted re-sequencing study of a ∼100 kb region – including the entire ST8SIA2 gene and its region of interaction with NCAM1 – in 48 Caucasian cases with bipolar disorder using the Roche 454 platform. We identified over 400 DNA variants, including 47 putative novel variants not described in dbSNP. Validation of a subset of variants via Sequenom showed high reliability of Roche 454 genotype calls (97% genotype concordance, with 80% of novel variants independently verified). We did not observe major loss-of-function mutations that would affect PSA-NCAM formation, either by ablating ST8SIA2 function or by affecting the ability of NCAM1 to be glycosylated. However, we identified 13 SNPs in the UTRs of ST8SIA2, a synonymous coding SNP in exon 5 (rs2305561, P207P) and many additional non-coding variants that may influence splicing or regulation of ST8SIA2 expression. We calculated nucleotide diversity within ST8SIA2 on specific haplotypes, finding that the diversity on the specific “risk” and “protective” haplotypes was lower than other non-disease-associated haplotypes, suggesting that putative functional variation may have arisen on a spectrum of haplotypes. We have identified common and novel variants (rs11074064, rs722645, 15∶92961050) that exist on a spectrum of haplotypes, yet are plausible candidates for conferring the effect of risk and protective haplotypes via multiple enhancer elements. A Galaxy workflow/pipeline for sequence analysis used herein is available at: https://main.g2.bx.psu.edu/u/a-shaw-neura/p/next-generation-resources.
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Affiliation(s)
- Alex D Shaw
- Neuroscience Research Australia, Sydney, New South Wales, Australia; Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Yash Tiwari
- Neuroscience Research Australia, Sydney, New South Wales, Australia; Schizophrenia Research Institute, Sydney, New South Wales, Australia; School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Warren Kaplan
- Peter Wills Bioinformatic Centre, Garvan Institute, Sydney, New South Wales, Australia
| | - Anna Heath
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia; Black Dog Institute, Sydney, New South Wales, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia; Schizophrenia Research Institute, Sydney, New South Wales, Australia; School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, New South Wales, Australia; Schizophrenia Research Institute, Sydney, New South Wales, Australia; School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
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14
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Ryu S, Won HH, Oh S, Kim JW, Park T, Cho EY, Cho Y, Park DY, Lee YS, Kwon JS, Hong KS. Genome-wide linkage scan of quantitative traits representing symptom dimensions in multiplex schizophrenia families. Psychiatry Res 2013; 210:756-60. [PMID: 24035701 DOI: 10.1016/j.psychres.2013.08.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2013] [Revised: 07/16/2013] [Accepted: 08/09/2013] [Indexed: 01/07/2023]
Abstract
Symptom dimensions of schizophrenia are likely to be the intermediate phenotypes under the control of disease-susceptibility genes, or separate traits related to disease-modifier genes. This study aimed to identify chromosomal loci linked to symptom dimensions of schizophrenia through genome-wide quantitative trait locus (QTL) linkage analysis. The study subjects consisted of 56 families with 183 members including 123 affected individuals. Symptom evaluations were performed on lifetime basis. Through principal component factor analysis, eight quantitative phenotypes representing symptom dimensions were identified. Genotyping was done for 6008 SNP markers, and genome-wide QTL linkage analysis was performed. No symptom dimension showed a significant linkage attaining genome-wide empirical thresholds. We observed seven regions yielding linkage signals attaining genome-wide empirical thresholds for suggestive linkage (NPL Z score = 2.78-3.49); chromosome 15q26.1 for 'non-paranoid delusion factor', 2p24.3 and 7q31.1 for 'prodromal impairment factor', 1q32.1, 9p21.3, and 9q31.2 for 'negative symptom factor', and 10p13 for 'disorganization factor'. Among these loci, chromosome 2p24.3 and 1q32.1 overlap with susceptibility loci of schizophrenia identified in our previous linkage studies. This study suggests the existence of genetic loci related to various clinical features of schizophrenia. Further genetic analyses for these dimensional phenotypes are warranted.
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Affiliation(s)
- Seunghyong Ryu
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
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15
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Kamien B, Harraway J, Lundie B, Smallhorne L, Gibbs V, Heath A, Fullerton JM. Characterization of a 520 kb deletion on chromosome 15q26.1 including ST8SIA2 in a patient with behavioral disturbance, autism spectrum disorder, and epilepsy. Am J Med Genet A 2013; 164A:782-8. [PMID: 24357335 DOI: 10.1002/ajmg.a.36345] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Accepted: 10/06/2013] [Indexed: 01/01/2023]
Abstract
We present a patient with a behavioral disorder, epilepsy, and autism spectrum disorder who has a 520 kb chromosomal deletion at 15q26.1 encompassing three genes: ST8SIA2, C15orf32, and FAM174B. Alpha-2,8-Sialyltransferase 2 (ST8SIA2) is expressed in the developing brain and appears to play an important role in neuronal migration, axon guidance and synaptic plasticity. It has recently been implicated in a genome wide association study as a potential factor underlying autism, and has also been implicated in the pathogenesis of bipolar disorder and schizophrenia. This case provides supportive evidence that ST8SIA2 haploinsufficiency may play a role in neurobehavioral phenotypes.
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Affiliation(s)
- Benjamin Kamien
- Hunter Genetics, Newcastle, New South Wales, Australia; School of Medicine and Public Health, The University of Newcastle, Newcastle, New South Wales, Australia
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16
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Hatoum IJ, Greenawalt DM, Cotsapas C, Daly MJ, Reitman ML, Kaplan LM. Weight loss after gastric bypass is associated with a variant at 15q26.1. Am J Hum Genet 2013; 92:827-34. [PMID: 23643386 DOI: 10.1016/j.ajhg.2013.04.009] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Revised: 04/02/2013] [Accepted: 04/08/2013] [Indexed: 12/26/2022] Open
Abstract
The amount of weight loss attained after Roux-en-Y gastric bypass (RYGB) surgery follows a wide and normal distribution, and recent evidence indicates that this weight loss is due to physiological, rather than mechanical, mechanisms. To identify potential genetic factors associated with weight loss after RYGB, we performed a genome-wide association study (GWAS) of 693 individuals undergoing RYGB and then replicated this analysis in an independent population of 327 individuals undergoing RYGB. We found that a 15q26.1 locus near ST8SIA2 and SLCO3A1 was significantly associated with weight loss after RYGB. Expression of ST8SIA2 in omental fat of these individuals at baseline was significantly associated with weight loss after RYGB. Gene expression analysis in RYGB and weight-matched, sham-operated (WMS) mice revealed that expression of St8sia2 and Slco3a1 was significantly altered in metabolically active tissues in RYGB-treated compared to WMS mice. These findings provide strong evidence for specific genetic influences on weight loss after RYGB and underscore the biological nature of the response to RYGB.
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Affiliation(s)
- Ida J Hatoum
- Obesity, Metabolism, and Nutrition Institute and Gastrointestinal Unit, Massachusetts General Hospital, Boston, MA 02114, USA
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17
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18
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Wang KS, Liu X, Zhang Q, Zeng M. ANAPC1 and SLCO3A1 are associated with nicotine dependence: meta-analysis of genome-wide association studies. Drug Alcohol Depend 2012; 124:325-32. [PMID: 22377092 DOI: 10.1016/j.drugalcdep.2012.02.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2011] [Revised: 01/11/2012] [Accepted: 02/02/2012] [Indexed: 02/08/2023]
Abstract
Twin and family studies have shown that there is substantial evidence for a genetic component in the vulnerability to nicotine dependence (ND). The purpose of this study was to perform a meta-analysis on two genome-wide association (GWA) data involving 1079 cases of ND and 1341 controls in Caucasian populations. Through meta-analysis we identified 50 SNPs associated with ND with p<10(-4). The best associated SNP rs7163369 (p=3.27×10(-6)) was located at 15q26 within SLCO3A1 gene while the second best SNP was rs9308631 (p=9.06×10(-6)) at 2q12.1 near ANAPC1. The third interesting locus rs688011 (p=1.08×10(-5)) was at 11q23.2 intergenic between NCAM1 and TCC12. Through meta-analysis, we found two additional ND associated genes ZCCHC14 (the top SNP was rs13334632, p=1.28×10(-5)) and KANK1 (the top SNP was rs13286166, p=1.49×10(-5)). The first top SNP rs7163369 within SLCO3A1 in the meta-analysis was replicated in the Australian twin-family study of 778 families (p=6.11×10(-5)) while SNP rs9653414 within ANAPC1 (p=4.61×10(-5)) in the meta-analysis was replicated in the family sample (p=9.31×10(-4)). Furthermore, rs2241617 in ZCCHC14 and rs4742225 in KANK1 showed strong associations with ND (p=1.06×10(-7) and 4.81×10(-7), respectively) in the replication sample. In addition, several SNPs of these loci (ANAPC1, KANK1, NACM1, TCC12, SLCO3A1 and ZCCHC14) were associated with alcohol dependence. In conclusion, we identified several loci associated with ND through meta-analysis of two GWA studies. These findings offer the potential for new insights into the pathogenesis of ND.
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Affiliation(s)
- Ke-Sheng Wang
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.
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McAuley EZ, Scimone A, Tiwari Y, Agahi G, Mowry BJ, Holliday EG, Donald JA, Weickert CS, Mitchell PB, Schofield PR, Fullerton JM. Identification of sialyltransferase 8B as a generalized susceptibility gene for psychotic and mood disorders on chromosome 15q25-26. PLoS One 2012; 7:e38172. [PMID: 22693595 PMCID: PMC3364966 DOI: 10.1371/journal.pone.0038172] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2012] [Accepted: 05/01/2012] [Indexed: 12/13/2022] Open
Abstract
We previously identified a significant bipolar spectrum disorder linkage peak on 15q25-26 using 35 extended families with a broad clinical phenotype, including bipolar disorder (types I and II), recurrent unipolar depression and schizoaffective disorder. However, the specific gene(s) contributing to this signal had not been identified. By a fine mapping association study in an Australian case-control cohort (n = 385), we find that the sialyltransferase 8B (ST8SIA2) gene, coding for an enzyme that glycosylates proteins involved in neuronal plasticity which has previously shown association to both schizophrenia and autism, is associated with increased risk to bipolar spectrum disorder. Nominal single point association was observed with SNPs in ST8SIA2 (rs4586379, P = 0.0043; rs2168351, P = 0.0045), and a specific risk haplotype was identified (frequency: bipolar vs controls = 0.41 vs 0.31; χ(2) = 6.46, P = 0.011, OR = 1.47). Over-representation of the specific risk haplotype was also observed in an Australian schizophrenia case-control cohort (n = 256) (χ(2) = 8.41, P = 0.004, OR = 1.82). Using GWAS data from the NIMH bipolar disorder (n = 2055) and NIMH schizophrenia (n = 2550) cohorts, the equivalent haplotype was significantly over-represented in bipolar disorder (χ(2) = 5.91, P = 0.015, OR = 1.29), with the same direction of effect in schizophrenia, albeit non-significant (χ(2) = 2.3, P = 0.129, OR = 1.09). We demonstrate marked down-regulation of ST8SIA2 gene expression across human brain development and show a significant haplotype×diagnosis effect on ST8SIA2 mRNA levels in adult cortex (ANOVA: F(1,87) = 6.031, P = 0.016). These findings suggest that variation the ST8SIA2 gene is associated with increased risk to mental illness, acting to restrict neuronal plasticity and disrupt early neuronal network formation, rendering the developing and adult brain more vulnerable to secondary genetic or environmental insults.
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Affiliation(s)
- Erica Z. McAuley
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Anna Scimone
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Yash Tiwari
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Developmental Neurobiology, Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Giti Agahi
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Bryan J. Mowry
- Genetics, Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
- Queensland Brain Institue, University of Queensland, Brisbane, Queensland, Australia
| | - Elizabeth G. Holliday
- Genetics, Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
| | - Jennifer A. Donald
- Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Cynthia Shannon Weickert
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
- Developmental Neurobiology, Schizophrenia Research Institute, Sydney, New South Wales, Australia
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Phillip B. Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Black Dog Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Peter R. Schofield
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Developmental Neurobiology, Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Janice M. Fullerton
- Psychiatric Genetics, Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
- Developmental Neurobiology, Schizophrenia Research Institute, Sydney, New South Wales, Australia
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20
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Analysis of complete mitochondrial genomes of patients with schizophrenia and bipolar disorder. J Hum Genet 2011; 56:869-72. [DOI: 10.1038/jhg.2011.111] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Drago A, De Ronchi D, Serretti A. Incomplete coverage of candidate genes: a poorly considered bias. Curr Genomics 2011; 8:476-83. [PMID: 19412419 PMCID: PMC2647155 DOI: 10.2174/138920207783591681] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2007] [Revised: 10/22/2007] [Accepted: 11/01/2007] [Indexed: 12/31/2022] Open
Abstract
Current genetic investigations are performed both on the basis of a rational and biologically based choice of candidate genes and through genome wide scans. Nonetheless, lack of replication is a common problem in psychiatric genetics as well as in other genetic fields. There are a number of reasons for this inconsistency, among them a well known but poorly considered issue is gene coverage. The aim of the present paper is to focus on this well known and defectively deemed bias, especially when a candidate gene approach is chosen. The rational and the technical feasibility of this proposal are discussed as well as a survey of current investigations. The known consistent methodology to fix this bias is also discussed.
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Affiliation(s)
- Antonio Drago
- Institute of Psychiatry, University of Bologna, Italy
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22
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Abstract
We report the first genome-wide association study in 1000 bipolar I patients and 1000 controls, with a replication of the top hits in another 409 cases and 1000 controls in the Han Chinese population. Four regions with most strongly associated single-nucleotide polymorphisms (SNPs) were detected, of which three were not found in previous GWA studies in the Caucasian populations. Among them, SNPs close to specificity protein 8 (SP8) and ST8 α-N-acetyl- neuraminide α-2,8-sialyltransferase (ST8SIA2) are associated with Bipolar I, with P-values of 4.87 × 10(-7) (rs2709736) and 6.05 × 10(-6) (rs8040009), respectively. We have also identified SNPs in potassium channel tetramerization domain containing 12 gene (KCTD12) (rs2073831, P=9.74 × 10(-6)) and in CACNB2 (Calcium channel, voltage-dependent, β-2 subunit) gene (rs11013860, P=5.15 × 10(-5)), One SNP nearby the rs1938526 SNP of ANK3 gene and another SNP nearby the SNP rs11720452 in chromosome 3 reported in previous GWA studies also showed suggestive association in this study (P=6.55 × 10(-5) and P=1.48 × 10(-5), respectively). This may suggest that there are common and population-specific susceptibility genes for bipolar I disorder.
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23
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Hong LE, Yang X, Wonodi I, Hodgkinson CA, Goldman D, Stine OC, Stein ES, Thaker GK. A CHRNA5 allele related to nicotine addiction and schizophrenia. GENES BRAIN AND BEHAVIOR 2011; 10:530-5. [PMID: 21418140 DOI: 10.1111/j.1601-183x.2011.00689.x] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Schizophrenia and nicotine addiction are both highly heritable phenotypes. Because individuals with schizophrenia have a higher rate of smoking than those in the general population, one could hypothesize that genes associated with smoking might be overrepresented in schizophrenia and thus help explain their increased smoking incidence. Although a number of genes have been proposed to explain the increased smoking risk in schizophrenia, none of them have been consistently linked to smoking and schizophrenia, and thus difficult to explain the increased smoking in schizophrenia. A functional smoking-related nicotinic acetylcholine receptor α5 subunit gene (CHRNA5) nonsynonymous single nucleotide polymorphism (SNP) rs16969968 (Asp398Asn) has recently been discovered and replicated. As such, we tested whether this variant contributes to smoking in schizophrenia in a sample of 313 schizophrenia patients and 525 controls. The Asp398Asn risk allele is significantly associated with smoking severity independently in schizophrenia patient smokers (P = 0.001) and control smokers (P = 0.029). Furthermore, the same risk allele is significantly associated with schizophrenia in both Caucasian (P = 0.022) and African-American (P = 0.006) nonsmoker schizophrenia patients compared with control nonsmokers. Intriguingly, this SNP was not significantly associated with smoking status (smokers vs. nonsmokers) in either schizophrenia patients or controls. Therefore, our study identifies a genetic variant that is simultaneously linked to smoking and schizophrenia in the same cohort, but whether this SNP contributes to the increased smoking prevalence in schizophrenia patients requires additional studies.
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Affiliation(s)
- L E Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA.
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Mathieu F, Dizier MH, Etain B, Jamain S, Rietschel M, Maier W, Albus M, McKeon P, Roche S, Blackwood D, Muir WJ, Henry C, Malafosse A, Preisig M, Ferrero F, Cichon S, Schumacher J, Ohlraun S, Propping P, Abou Jamra R, Schulze TG, Zelenica D, Charon C, Marusic A, Dernovsek MC, Gurling H, Nöthen M, Lathrop M, Leboyer M, Bellivier F. European collaborative study of early-onset bipolar disorder: Evidence for genetic heterogeneity on 2q14 according to age at onset. Am J Med Genet B Neuropsychiatr Genet 2010; 153B:1425-33. [PMID: 20886542 DOI: 10.1002/ajmg.b.31121] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2009] [Accepted: 08/03/2010] [Indexed: 02/04/2023]
Abstract
Bipolar disorder has a genetic component, but the mode of inheritance remains unclear. A previous genome scan conducted in 70 European families led to detect eight regions linked to bipolar disease. Here, we present an investigation of whether the phenotypic heterogeneity of the disorder corresponds to genetic heterogeneity in these regions using additional markers and an extended sample of families. The MLS statistic was used for linkage analyses. The predivided sample test and the maximum likelihood binomial methods were used to test genetic homogeneity between early-onset bipolar type I (cut-off of 22 years) and other types of the disorder (later onset of bipolar type I and early-onset bipolar type II), using a total of 138 independent bipolar-affected sib-pairs. Analysis of the extended sample of families supports linkage in four regions (2q14, 3p14, 16p23, and 20p12) of the eight regions of linkage suggested by our previous genome scan. Heterogeneity testing revealed genetic heterogeneity between early and late-onset bipolar type I in the 2q14 region (P = 0.0001). Only the early form of the bipolar disorder but not the late form appeared to be linked to this region. This region may therefore include a genetic factor either specifically involved in the early-onset bipolar type I or only influencing the age at onset (AAO). Our findings illustrate that stratification according to AAO may be valuable for the identification of genetic vulnerability polymorphisms. © 2010 Wiley-Liss, Inc.
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Affiliation(s)
- Flavie Mathieu
- INSERM, U 955, IMRB, Department of Medical Genetics, Psychiatry Genetics, Creteil, France.
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Ott J, Macciardi F, Shen Y, Carta MG, Murru A, Triunfo R, Robledo R, Rinaldi A, Contu L, Siniscalco M. Pilot study on schizophrenia in Sardinia. Hum Hered 2010; 70:92-6. [PMID: 20558996 DOI: 10.1159/000313844] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2009] [Accepted: 04/15/2010] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Based on a small sample of cases with schizophrenia and control individuals from an isolated population, a genome-wide association study was undertaken to find variants conferring susceptibility to this disease. METHODS Standard association tests were employed, followed by newer multilocus association methods (genotype patterns). RESULTS Individually, no variant produced a significant result. However, the best two variants (rs1360382 on chromosome 9 and rs1303 on chromosome 14) showed significantly different genotype pattern distributions between patients and control individuals. The risk genotype pattern AA-TT is highly predictive of schizophrenia, with estimated sensitivity and specificity of 1 and 0.96, respectively. CONCLUSIONS These findings support the hypothesis that schizophrenia is partly due to multiple genetic variants, each with a relatively small effect.
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Affiliation(s)
- Jurg Ott
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
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26
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Fukuo Y, Kishi T, Yoshimura R, Kitajima T, Okochi T, Yamanouchi Y, Kinoshita Y, Kawashima K, Naitoh H, Umene-Nakano W, Inada T, Kunugi H, Kato T, Yoshikawa T, Ujike H, Nakamura J, Ozaki N, Iwata N. Serotonin 6 receptor gene and mood disorders: case-control study and meta-analysis. Neurosci Res 2010; 67:250-5. [PMID: 20394784 DOI: 10.1016/j.neures.2010.04.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2010] [Revised: 03/30/2010] [Accepted: 04/02/2010] [Indexed: 12/24/2022]
Abstract
Several evidence suggests that alterations in serotonin 6 (5-HT6) receptors might be associated with the pathophysiology of mood disorders. Therefore, to evaluate the association between HTR6 and BP and MDD, we conducted a case-control study of Japanese population samples (1007 BP patients, 447 MDD patients and 1753 controls) with five tagging SNPs, including rs1805054 (C267T), in HTR6. In addition, we conducted a meta-analysis of rs1805054, which has been examined in other studies. We selected five tagging SNPs (rs6693503, rs1805054, rs4912138, rs3790757 and rs9659997). Moreover, three association studies for BP and four association studies for MDD, including this study, met our criteria for the meta-analysis of rs1805054. We did not detect an association between tagging SNPs in HTR6 and BP and MDD in the allele/genotype, haplotype analysis or meta-analysis. In conclusion, we found no association involving polymorphism and mood disorder in the Japanese population. However, because changes in expression level or signal transduction of this receptor may be involved in the pathology of these diseases, it will be necessary to conduct the further study about the relationship between this receptor and mood disorders in the future.
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Affiliation(s)
- Yasuhisa Fukuo
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi 470 1192, Japan
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27
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Gennarelli M, Cattaneo A. Genetic variations and association. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2010; 94:129-151. [PMID: 21081205 DOI: 10.1016/b978-0-12-384976-2.00006-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Affiliation(s)
- Massimo Gennarelli
- Division of Biology and Genetics, Department of Biomedical Sciences and Biotechnology, Genetics Unit, University of Brescia, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Ng MYM, Levinson DF, Faraone SV, Suarez BK, DeLisi LE, Arinami T, Riley B, Paunio T, Pulver AE, Irmansyah, Holmans PA, Escamilla M, Wildenauer DB, Williams NM, Laurent C, Mowry BJ, Brzustowicz LM, Maziade M, Sklar P, Garver DL, Abecasis GR, Lerer B, Fallin MD, Gurling HMD, Gejman PV, Lindholm E, Moises HW, Byerley W, Wijsman EM, Forabosco P, Tsuang MT, Hwu HG, Okazaki Y, Kendler KS, Wormley B, Fanous A, Walsh D, O’Neill FA, Peltonen L, Nestadt G, Lasseter VK, Liang KY, Papadimitriou GM, Dikeos DG, Schwab SG, Owen MJ, O’Donovan MC, Norton N, Hare E, Raventos H, Nicolini H, Albus M, Maier W, Nimgaonkar VL, Terenius L, Mallet J, Jay M, Godard S, Nertney D, Alexander M, Crowe RR, Silverman JM, Bassett AS, Roy MA, Mérette C, Pato CN, Pato MT, Roos JL, Kohn Y, Amann-Zalcenstein D, Kalsi G, McQuillin A, Curtis D, Brynjolfson J, Sigmundsson T, Petursson H, Sanders AR, Duan J, Jazin E, Myles-Worsley M, Karayiorgou M, Lewis CM. Meta-analysis of 32 genome-wide linkage studies of schizophrenia. Mol Psychiatry 2009; 14:774-85. [PMID: 19349958 PMCID: PMC2715392 DOI: 10.1038/mp.2008.135] [Citation(s) in RCA: 179] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2008] [Accepted: 11/11/2008] [Indexed: 02/07/2023]
Abstract
A genome scan meta-analysis (GSMA) was carried out on 32 independent genome-wide linkage scan analyses that included 3255 pedigrees with 7413 genotyped cases affected with schizophrenia (SCZ) or related disorders. The primary GSMA divided the autosomes into 120 bins, rank-ordered the bins within each study according to the most positive linkage result in each bin, summed these ranks (weighted for study size) for each bin across studies and determined the empirical probability of a given summed rank (P(SR)) by simulation. Suggestive evidence for linkage was observed in two single bins, on chromosomes 5q (142-168 Mb) and 2q (103-134 Mb). Genome-wide evidence for linkage was detected on chromosome 2q (119-152 Mb) when bin boundaries were shifted to the middle of the previous bins. The primary analysis met empirical criteria for 'aggregate' genome-wide significance, indicating that some or all of 10 bins are likely to contain loci linked to SCZ, including regions of chromosomes 1, 2q, 3q, 4q, 5q, 8p and 10q. In a secondary analysis of 22 studies of European-ancestry samples, suggestive evidence for linkage was observed on chromosome 8p (16-33 Mb). Although the newer genome-wide association methodology has greater power to detect weak associations to single common DNA sequence variants, linkage analysis can detect diverse genetic effects that segregate in families, including multiple rare variants within one locus or several weakly associated loci in the same region. Therefore, the regions supported by this meta-analysis deserve close attention in future studies.
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Affiliation(s)
- MYM Ng
- King’s College London, Department of Medical and Molecular Genetics, London, UK
| | - DF Levinson
- Department of Psychiatry, Stanford University, Stanford, CA, USA
| | - SV Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - BK Suarez
- Washington University in St Louis, St Louis, MO, USA
| | - LE DeLisi
- Department of Psychiatry, The New York University Langone Medical Center, New York, NY, USA
- Nathan S Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - T Arinami
- Department of Medical Genetics, University of Tsukuba, Tsukuba, Japan
| | - B Riley
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - T Paunio
- National Public Health Institute, Helsinki, Finland
- Department of Psychiatry, Helsinki University Central Hospital, Helsinki, Finland
| | - AE Pulver
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Irmansyah
- Department of Psychiatry, University of Indonesia, Jakarta, Indonesia
| | - PA Holmans
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - M Escamilla
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - DB Wildenauer
- Center for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA, Australia
| | - NM Williams
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - C Laurent
- Department of Child Psychiatry, Université Pierre et Marie Curie and Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - BJ Mowry
- Queensland Centre for Mental Health Research and University of Queensland, Brisbane, QLD, Australia
| | - LM Brzustowicz
- Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - M Maziade
- Department of Psychiatry, Laval University & Centre de recherche Université Laval Robert-Giffard, Québec, QC, Canada
| | - P Sklar
- Center for Human Genetic Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - DL Garver
- VA Medical Center, Asheville, NC, USA
| | - GR Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - B Lerer
- Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - MD Fallin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - HMD Gurling
- Department of Mental Health Sciences, University College London, London, UK
| | - PV Gejman
- Center for Psychiatric Genetics, NorthShore University HealthSystem Research Institute and Northwestern University, Evanston, IL, USA
| | - E Lindholm
- Department of Development & Genetics, Uppsala University, Uppsala, Sweden
| | | | - W Byerley
- University of California, San Francisco, CA, USA
| | - EM Wijsman
- Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - P Forabosco
- King’s College London, Department of Medical and Molecular Genetics, London, UK
| | - MT Tsuang
- Center for Behavioral Genomics and Department of Psychiatry, University of California, San Diego, CA, USA
- Harvard Institute of Psychiatric Epidemiology & Genetics, Boston, MA, USA
| | - H-G Hwu
- National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Y Okazaki
- Tokyo Metropolitan Matsuzawa Hospital, Tokyo, Japan
| | - KS Kendler
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - B Wormley
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - A Fanous
- Washington VA Medical Center, Washington, DC, USA
- Department of Psychiatry, Georgetown University Medical Center, Virginia Commonwealth University, Richmond, VA, USA
| | - D Walsh
- The Health Research Board, Dublin, Ireland
| | - FA O’Neill
- Department of Psychiatry, Queens University, Belfast, Northern Ireland
| | - L Peltonen
- Department of Molecular Medicine, National Public Health Institute, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki, Helsinki, Finland
- The Broad Institute, MIT, Boston, MA, USA
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
| | - G Nestadt
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - VK Lasseter
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - KY Liang
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - GM Papadimitriou
- 1st Department of Psychiatry, University of Athens Medical School, and University Mental Health Research Institute, Athens, Greece
| | - DG Dikeos
- 1st Department of Psychiatry, University of Athens Medical School, and University Mental Health Research Institute, Athens, Greece
| | - SG Schwab
- Western Australian Institute for Medical Research, University of Western Australia, Perth, WA, Australia
- School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA, Australia
- School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
| | - MJ Owen
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - MC O’Donovan
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - N Norton
- Department of Psychological Medicine, School of Medicine, Cardiff University, Cardiff, UK
| | - E Hare
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - H Raventos
- School of Biology and CIBCM, University of Costa Rica, San Jose, Costa Rica
| | - H Nicolini
- Carracci Medical Group and Universidad Autonoma de la Ciudad de Mexico, Mexico City, Mexico
| | - M Albus
- State Mental Hospital, Haar, Germany
| | - W Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - VL Nimgaonkar
- Departments of Psychiatry and Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - L Terenius
- Department of Clinical Neuroscience, Karolinska Hospital, Stockholm, Sweden
| | - J Mallet
- Laboratoire de Génétique Moléculaire de la Neurotransmission et des Processus Neurodégénératifs, Centre National de la Recherche Scientifique, Hôpital de la Pitié Salpêtrière, Paris, France
| | - M Jay
- Department of Child Psychiatry, Université Pierre et Marie Curie and Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - S Godard
- INSERM, Institut de Myologie, Hôpital de la Pitiè-Salpêtrière, Paris, France
| | - D Nertney
- Queensland Centre for Mental Health Research and University of Queensland, Brisbane, QLD, Australia
| | - M Alexander
- Department of Psychiatry, Stanford University, Stanford, CA, USA
| | - RR Crowe
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - JM Silverman
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - AS Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - M-A Roy
- Department of Psychiatry, Laval University & Centre de recherche Université Laval Robert-Giffard, Québec, QC, Canada
| | - C Mérette
- Department of Psychiatry, Laval University & Centre de recherche Université Laval Robert-Giffard, Québec, QC, Canada
| | - CN Pato
- Center for Genomic Psychiatry, University of Southern California, Los Angeles, CA, USA
| | - MT Pato
- Center for Genomic Psychiatry, University of Southern California, Los Angeles, CA, USA
| | - J Louw Roos
- Department of Psychiatry, University of Pretoria, Weskoppies Hospital, Pretoria, Republic of South Africa
| | - Y Kohn
- Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - D Amann-Zalcenstein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - G Kalsi
- Department of Mental Health Sciences, University College London, London, UK
| | - A McQuillin
- Department of Mental Health Sciences, University College London, London, UK
| | - D Curtis
- Department of Psychological Medicine, St Bartholomew’s and Royal London School of Medicine and Dentistry, London, UK
| | - J Brynjolfson
- Department of Psychiatry, General Hospital, Reykjavik, Iceland
| | - T Sigmundsson
- Department of Psychiatry, General Hospital, Reykjavik, Iceland
| | - H Petursson
- Department of Psychiatry, General Hospital, Reykjavik, Iceland
| | - AR Sanders
- Center for Psychiatric Genetics, NorthShore University HealthSystem Research Institute and Northwestern University, Evanston, IL, USA
| | - J Duan
- Center for Psychiatric Genetics, NorthShore University HealthSystem Research Institute and Northwestern University, Evanston, IL, USA
| | - E Jazin
- Department of Development & Genetics, Uppsala University, Uppsala, Sweden
| | - M Myles-Worsley
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA
| | - M Karayiorgou
- Departments of Psychiatry and Genetics & Development, Columbia University Medical Center, New York, NY, USA
| | - CM Lewis
- King’s College London, Department of Medical and Molecular Genetics, London, UK
- King’s College London, MRC SGDP Centre, Institute of Psychiatry, London, UK
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McAuley EZ, Blair IP, Liu Z, Fullerton JM, Scimone A, Van Herten M, Evans MR, Kirkby KC, Donald JA, Mitchell PB, Schofield PR. A genome screen of 35 bipolar affective disorder pedigrees provides significant evidence for a susceptibility locus on chromosome 15q25-26. Mol Psychiatry 2009; 14:492-500. [PMID: 18227837 DOI: 10.1038/sj.mp.4002146] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Bipolar affective disorder is a heritable, relatively common, severe mood disorder with lifetime prevalence up to 4%. We report the results of a genome-wide linkage analysis conducted on a cohort of 35 Australian bipolar disorder families which identified evidence of significant linkage on chromosome 15q25-26 and suggestive evidence of linkage on chromosomes 4q, 6q and 13q. Subsequent fine-mapping of the chromosome 15q markers, using allele frequencies calculated from our cohort, gave significant results with a maximum two-point LOD score of 3.38 and multipoint LOD score of 4.58 for marker D15S130. Haplotype analysis based on pedigree-specific, identical-by-descent allele sharing, supported the location of a bipolar susceptibility gene within the Z(max-1) linkage confidence interval of 17 cM, or 6.2 Mb, between markers D15S979 and D15S816. Non-parametric and affecteds-only linkage analysis further verified the linkage signal in this region. A maximum NPL score of 3.38 (P=0.0008) obtained at 107.16 cM (near D15S130), and a maximum two-point LOD score of 2.97 obtained at marker D15S1004 (affecteds only), support the original genome-wide findings on chromosome 15q. These results are consistent with four independent positive linkage studies of mood and psychotic disorders, and raise the possibility that a common gene for susceptibility to bipolar disorder, and other psychiatric disorders may lie in this chromosome 15q25-26 region.
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Affiliation(s)
- E Z McAuley
- Neuroscience Research Program, Garvan Institute of Medical Research, Sydney, NSW, Australia
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Verhoeven WMA, Tuinier S. Clinical perspectives on the genetics of schizophrenia: a bottom-up orientation. Neurotox Res 2009; 14:141-50. [PMID: 19073422 DOI: 10.1007/bf03033806] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Phenomenology has been the reference point that investigators have used in their efforts to understand schizophrenia. Although symptoms and signs are crucial for the diagnosis of schizophrenia, there is an ongoing debate since Kraepelin attempted to group symptoms to understand the etiology of schizophrenia. Several operational criteria have been developed to establish the diagnosis of schizophrenia, making it obvious that there are no precise symptomatological boundaries. There is little clear indication which of the systems is valid for genetic and other biological research. Despite the enormous effort to find a linkage between schizophrenia and one or more loci, the results are far from conclusive. Another approach is the search for candidate genes of which DICS1 and 22q11 deletion syndrome are examples. In all studies into the genetic underpinnings of schizophrenia, however, the clinical vantage point is neglected in that a broad clinical phenotype with respect to, e.g., developmental issues, symptoms and comorbidity is narrowed down to one categorical diagnosis. This is illustrated by the lack of exclusion criteria in genetic studies and by the occurrence of schizophrenia-like psychoses in a broad array of genetic syndromes. In case of 22q11 deletion syndrome, the psychotic symptoms emerge in the context of brain anomalies, a plethora of somatic abnormalities and specific neurocognitive deficits. Prader-Willi syndrome is a hypothalamic disorder in which psychotic symptoms may occur that resemble schizophrenia. It is concluded that not only schizophrenia is a highly variable disease but that the genetic samples are even much more heterogeneous.
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Affiliation(s)
- Willem M A Verhoeven
- Vincent van Gogh Institute for Psychiatry, Department of Clinical Research, Venray, The Netherlands.
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31
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Maziade M, Chagnon YC, Roy MA, Bureau A, Fournier A, Mérette C. Chromosome 13q13-q14 locus overlaps mood and psychotic disorders: the relevance for redefining phenotype. Eur J Hum Genet 2009; 17:1034-42. [PMID: 19172987 DOI: 10.1038/ejhg.2008.268] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The nosology of major psychoses is challenged by the findings that schizophrenia (SZ) and bipolar disorder (BP) share several neurobiological, neuropsychological and clinical phenotypic characteristics. Moreover, several vulnerability loci or genes may be common to the two DSM disorders. We previously reported, in a sample of 21 kindreds (sample 1), a genome-wide suggestive linkage in 13q13-q14 with a common locus (CL) phenotype that crossed the diagnostic boundaries by combining SZ, BP and schizoaffective disorders. Our objectives were to test phenotype specificity in a separate sample (sample 2) of 27 kindreds from Eastern Quebec and to also analyze the combined sample of 48 kindreds (1274 family members). We performed nonparametric and parametric analyses and tested as phenotypes: SZ alone, BP alone, and a CL phenotype. We replicated in sample 2 our initial finding with CL with a maximum NPL(pair) score of 3.36 at D13S1272 (44 Mb), only 2.1 Mb telomeric to our previous maximum result. In the combined sample, the peak with CL was at marker D13S1297 (42.1 Mb) with a NPL(pair) score reaching 5.21, exceeding that obtained in each sample and indicating consistency across the two samples. Our data suggest a susceptibility locus in 13q13-q14 that is shared by schizophrenia and mood disorder. That locus would be additional to another well documented and more distal 13q locus where the G72/G30 gene is mapped.
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Affiliation(s)
- Michel Maziade
- Department of Psychiatry, Laval University, Québec, QC, Canada.
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32
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Phosphodiesterase-4A expression is reduced in cerebella of patients with bipolar disorder. Psychiatr Genet 2009; 18:282-8. [PMID: 19018233 DOI: 10.1097/ypg.0b013e3283060fb8] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE The cAMP-specific phosphodiesterase-4 (PDE4) gene family has four members (PDE4 A, B, C, and D) and is the target of several potential therapeutic inhibitors. Recently, PDE4A5 has been shown to bind with disrupted in schizophrenia 1 (DISC1), which has been identified as a risk factor for schizophrenia, bipolar disorder, and major depression. We sought to examine whether PDE4A5 expression was altered in cerebella of patients with schizophrenia, bipolar disorder, and major depression. METHODS We measured protein levels of PDE4A isoforms in cerebella of patients with schizophrenia, bipolar disorder, and major depression versus matched controls using sodium dodecyl sulfate polyacrylamide gel electrophoresis and western blotting. RESULTS We observed that specific isoforms of PDE4A were reduced in cerebella of patients with bipolar disorder, whereas there was no change in patients with schizophrenia or major depression. CONCLUSION Our results are the first to show that PDE4A expression is altered in patients with bipolar disorder and provide potential new therapeutic avenues for treatment of this disorder.
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Abstract
Bipolar disorder, especially the most severe type (type I), has a strong genetic component. Family studies suggest that a small number of genes of modest effect are involved in this disorder. Family-based studies have identified a number of chromosomal regions linked to bipolar disorder, and progress is currently being made in identifying positional candidate genes within those regions, À number of candidate genes have also shown evidence of association with bipolar disorder, and genome-wide association studies are now under way, using dense genetic maps. Replication studies in larger or combined datasets are needed to definitively assign a role for specific genes in this disorder. This review covers our current knowledge of the genetics of bipolar disorder, and provides a commentary on current approaches used to identify the genes involved in this complex behavioral disorder.
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Affiliation(s)
- Michael A Escamilla
- University of Texas Health Science Center at San Antonio, South Texas Medical Genetics Research Center, 1214 Schunior St, Edinburg, TX 78539, USA.
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Abstract
PURPOSE This case study of a 29-year-old married woman with postpartum bipolar depression demonstrates the importance of an accurate differential diagnosis when evaluating a patient presenting with symptoms of postpartum depression. CONCLUSION Although many of the signs and symptoms of unipolar depression and bipolar depression are identical, there are some important differences. Careful evaluation of symptoms and a thorough psychiatric history leads to accurate diagnosis and successful treatment outcomes. PRACTICE IMPLICATIONS All women presenting with postpartum depression should be screened for bipolar disorder as the treatment of bipolar depression differs substantially from unipolar depression.
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Serretti A, Mandelli L. The genetics of bipolar disorder: genome 'hot regions,' genes, new potential candidates and future directions. Mol Psychiatry 2008; 13:742-71. [PMID: 18332878 DOI: 10.1038/mp.2008.29] [Citation(s) in RCA: 131] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome 'hot regions' for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. A number of promising genes, which received independent confirmations, and genes that have to be further investigated in BP, have been also systematically listed. In conclusion, the combination of linkage and association approaches provided a number of liability genes. Nevertheless, other approaches are required to disentangle conflicting findings, such as gene interaction analyses, interaction with psychosocial and environmental factors and, finally, endophenotype investigations.
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Affiliation(s)
- A Serretti
- Institute of Psychiatry, University of Bologna, Bologna, Italy.
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Kobeissy FH, Sadasivan S, Liu J, Gold MS, Wang KKW. Psychiatric research: psychoproteomics, degradomics and systems biology. Expert Rev Proteomics 2008; 5:293-314. [PMID: 18466058 DOI: 10.1586/14789450.5.2.293] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
While proteomics has excelled in several disciplines in biology (cancer, injury and aging), neuroscience and psychiatryproteomic studies are still in their infancy. Several proteomic studies have been conducted in different areas of psychiatric disorders, including drug abuse (morphine, alcohol and methamphetamine) and other psychiatric disorders (depression, schizophrenia and psychosis). However, the exact cellular and molecular mechanisms underlying these conditions have not been fully investigated. Thus, one of the primary objectives of this review is to discuss psychoproteomic application in the area of psychiatric disorders, with special focus on substance- and drug-abuse research. In addition, we illustrate the potential role of degradomic utility in the area of psychiatric research and its application in establishing and identifying biomarkers relevant to neurotoxicity as a consequence of drug abuse. Finally, we will discuss the emerging role of systems biology and its current use in the field of neuroscience and its integral role in establishing a comprehensive understanding of specific brain disorders and brain function in general.
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Affiliation(s)
- Firas H Kobeissy
- McKnight Brain Institute, Department of Psychiatry, University of Florida College of Medicine, Gainesville, FL 32611, USA.
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37
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Focusing on symptoms rather than diagnoses in brain dysfunction: Conscious and nonconscious expression in impulsiveness and decision-making. Neurotox Res 2008; 14:1-20. [DOI: 10.1007/bf03033572] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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38
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Abou Jamra R, Fuerst R, Kaneva R, Orozco Diaz G, Rivas F, Mayoral F, Gay E, Sans S, Gonzalez MJ, Gil S, Cabaleiro F, Del Rio F, Perez F, Haro J, Auburger G, Milanova V, Kostov C, Chorbov V, Stoyanova V, Nikolova-Hill A, Onchev G, Kremensky I, Jablensky A, Schulze TG, Propping P, Rietschel M, Nothen MM, Cichon S, Wienker TF, Schumacher J. The first genomewide interaction and locus-heterogeneity linkage scan in bipolar affective disorder: strong evidence of epistatic effects between loci on chromosomes 2q and 6q. Am J Hum Genet 2007; 81:974-86. [PMID: 17924339 DOI: 10.1086/521690] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2007] [Accepted: 07/13/2007] [Indexed: 11/04/2022] Open
Abstract
We present the first genomewide interaction and locus-heterogeneity linkage scan in bipolar affective disorder (BPAD), using a large linkage data set (52 families of European descent; 448 participants and 259 affected individuals). Our results provide the strongest interaction evidence between BPAD genes on chromosomes 2q22-q24 and 6q23-q24, which was observed symmetrically in both directions (nonparametric LOD [NPL] scores of 7.55 on 2q and 7.63 on 6q; P<.0001 and P=.0001, respectively, after a genomewide permutation procedure). The second-best BPAD interaction evidence was observed between chromosomes 2q22-q24 and 15q26. Here, we also observed a symmetrical interaction (NPL scores of 6.26 on 2q and 4.59 on 15q; P=.0057 and .0022, respectively). We covered the implicated regions by genotyping additional marker sets and performed a detailed interaction linkage analysis, which narrowed the susceptibility intervals. Although the heterogeneity analysis produced less impressive results (highest NPL score of 3.32) and a less consistent picture, we achieved evidence of locus heterogeneity at chromosomes 2q, 6p, 11p, 13q, and 22q, which was supported by adjacent markers within each region and by previously reported BPAD linkage findings. Our results provide systematic insights in the framework of BPAD epistasis and locus heterogeneity, which should facilitate gene identification by the use of more-comprehensive cloning strategies.
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Affiliation(s)
- Rami Abou Jamra
- Institute of Human Genetics, University of Bonn, Bonn, Germany
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