Integrative genome-wide association analysis of cytoarchitectural abnormalities in the prefrontal cortex of psychiatric disorders

被引:26
|
作者
Kim, S. [1 ]
Webster, M. J. [1 ]
机构
[1] Stanley Med Res Inst, Stanley Brain Res Lab, Rockville, MD 20850 USA
关键词
GABAergic neuron; oligodendrocyte; SNP; expression profile; schizophrenia; bipolar disorder; GENE-EXPRESSION; BIPOLAR DISORDER; NMDA RECEPTORS; SCHIZOPHRENIA; BRAIN; OLIGODENDROCYTES; CALCIUM; DEATH; RISK;
D O I
10.1038/mp.2010.23
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Cytoarchitectural abnormalities have been described in the prefrontal cortex (PFC) of subjects with psychiatric disorders. We explored the possible genetic causalities that may underlie the cytoarchitectural abnormalities of calbindin-containing gamma-aminobutyric acid (GABA)ergic neurons and perineuronal oligodendrocytes in the PFC of subjects with psychiatric disorders by converging results from genome-wide single-nucleotide polymorphism (SNP) scans for the traits and expression SNP (eSNP) associations. In the initial genome-wide scans, we identified several development- and apoptosis-related genes associated with the cytoarchitectural traits. Moreover, the susceptibility gene for bipolar disorder, PPP2R2C, was found to be associated with the number of perineuronal oligodendrocytes. Further eSNP analyses indicated that two novel candidate genes, RAB2A and SLC38A1, were associated with the density of calbindin-positive neurons and the number of perineuronal oligodendrocytes, respectively. Our findings may provide novel insights into the genetic causalities associated with cytoarchitectural abnormalities in the PFC of subjects with major psychiatric disorders as well as into the etiology of such disorders. Molecular Psychiatry (2011) 16, 452-461; doi:10.1038/mp.2010.23; published online 23 March 2010
引用
收藏
页码:452 / 461
页数:10
相关论文
共 50 条
  • [41] Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer
    Jia, Peilin
    Liu, Yang
    Zhao, Zhongming
    BMC SYSTEMS BIOLOGY, 2012, 6
  • [42] An Analysis Pipeline for Genome-wide Association Studies
    Stefanov, Stefan
    Lautenberger, James
    Gold, Bert
    CANCER INFORMATICS, 2008, 6 : 455 - +
  • [43] Genome-wide association analysis on breastfeeding duration
    Colodro-Conde, Lucia
    Carland, Corinne
    Rajaei, Sheeva
    Paternoster, Lavinia
    Sanchez Romera, Juan F.
    Ordonana, Juan R.
    Lupton, Michelle
    Assimes, Themistocles L.
    Martin, Nicholas G.
    Medland, Sarah E.
    BEHAVIOR GENETICS, 2020, 50 (06) : 448 - 448
  • [44] Genome-wide association analysis in the GEDI Project
    Miller, Michael B.
    BEHAVIOR GENETICS, 2009, 39 (06) : 671 - 671
  • [45] Integrative analysis of eosinophilic esophagitis genome-wide association study single-nucleotide polymorphisms
    Ruffner, Melanie
    Carroll, Margaret
    Meline, Michele
    Sullivan, Kathleen
    Zhang, Zhe
    Spergel, Jonathan
    Sleiman, Patrick
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2021, 147 (02) : AB92 - AB92
  • [46] Cloud Computing for Genome-Wide Association Analysis
    Baurley, James W.
    Edlund, Christopher K.
    Pardamean, Bens
    PROCEEDINGS OF THE 2011 2ND INTERNATIONAL CONGRESS ON COMPUTER APPLICATIONS AND COMPUTATIONAL SCIENCE, VOL 1, 2012, 144 : 377 - +
  • [47] REPLICABILITY ANALYSIS FOR GENOME-WIDE ASSOCIATION STUDIES
    Heller, Ruth
    Yekutieli, Daniel
    ANNALS OF APPLIED STATISTICS, 2014, 8 (01): : 481 - 498
  • [48] Power analysis for genome-wide association studies
    Robert J Klein
    BMC Genetics, 8
  • [49] Genome-wide association analysis of psoriatic arthritis
    Nair, R.
    Stuart, P.
    Tsoi, L.
    Ellinghaus, E.
    Walsh, J.
    Chandran, V.
    Tejasvi, T.
    Esko, T.
    Duffin, K.
    Ike, R.
    Bowcock, A.
    Voorhees, J.
    Lim, H.
    Weichenthal, M.
    Franke, A.
    Rahman, P.
    Krueger, G.
    Abecasis, G.
    Gladman, D.
    Elder, J.
    BRITISH JOURNAL OF DERMATOLOGY, 2014, 171 (06) : E111 - E111
  • [50] Statistical analysis for genome-wide association study
    Ping Zeng
    Yang Zhao
    Cheng Qian
    Liwei Zhang
    Ruyang Zhang
    Jianwei Gou
    Jin Liu
    Liya Liu
    Feng Chen
    The Journal of Biomedical Research, 2015, 29 (04) : 285 - 297