A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

被引:0
|
作者
Xueyi Shen
David M. Howard
Mark J. Adams
W. David Hill
Toni-Kim Clarke
Ian J. Deary
Heather C. Whalley
Andrew M. McIntosh
机构
[1] University of Edinburgh,Division of Psychiatry
[2] King’s College London,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience
[3] University of Edinburgh,Centre for Cognitive Ageing and Cognitive Epidemiology
[4] University of Edinburgh,Department of Psychology
[5] The University of Queensland,Institute for Molecular Bioscience
[6] The University of Queensland,Queensland Brain Institute
[7] Massachusetts General Hospital,Analytic and Translational Genetics Unit
[8] Universitätsmedizin Berlin Campus Charité Mitte,Department of Psychiatry and Psychotherapy
[9] Broad Institute,Medical and Population Genetics
[10] University of Wurzburg,Department of Psychiatry, Psychosomatics and Psychotherapy
[11] Karolinska Institutet,Centre for Psychiatry Research, Department of Clinical Neuroscience
[12] Aarhus University,Department of Biomedicine
[13] Vrije Universiteit Amsterdam,Dept of Biological Psychology & EMGO+Institute for Health and Care Research
[14] Aarhus University,Centre for Integrated Register
[15] Aarhus University,based Research
[16] The Lundbeck Foundation Initiative for Integrative Psychiatric Research,National Centre for Register
[17] University of Adelaide,Based Research
[18] Max Planck Institute of Psychiatry,iPSYCH
[19] Technical University of Munich,Discipline of Psychiatry
[20] Virginia Commonwealth University,Department of Translational Research in Psychiatry
[21] Statens Serum Institut,Department of Neurology, Klinikum rechts der Isar
[22] Vrije Universiteit Medical Center and GGZ inGeest,Department of Psychiatry
[23] Virginia Institute for Psychiatric and Behavior Genetics,Center for Neonatal Screening, Department for Congenital Disorders
[24] Emory University School of Medicine,Department of Psychiatry
[25] Karolinska Institutet,Department of Psychiatry and Behavioral Sciences
[26] Aarhus University,Department of Medical Epidemiology and Biostatistics
[27] Aarhus University,Department of Clinical Medicine, Translational Neuropsychiatry Unit
[28] Wellcome Trust Sanger Institute,iSEQ, Centre for Integrative Sequencing
[29] European Bioinformatics Institute (EMBL-EBI),Human Genetics
[30] University Hospital of Lausanne,Statistical genomics and systems genetics
[31] QIMR Berghofer Medical Research Institute,Department of Psychiatry
[32] The University of Queensland,Genetics and Computational Biology
[33] Cardiff University,Centre for Advanced Imaging
[34] Duke University,Psychological Medicine
[35] Duke University,Center for Genomic and Computational Biology
[36] University of Bonn,Department of Pediatrics, Division of Medical Genetics
[37] School of Medicine & University Hospital Bonn,Institute of Human Genetics
[38] Erasmus MC,Epidemiology
[39] Dokuz Eylul University School Of Medicine,Psychiatry
[40] Massachusetts General Hospital,Department of Psychiatry
[41] Massachusetts General Hospital,Psychiatric and Neurodevelopmental Genetics Unit (PNGU)
[42] Broad Institute,Stanley Center for Psychiatric Research
[43] Cardiff University,Neuroscience and Mental Health
[44] University of British Columbia,Bioinformatics
[45] Harvard T.H. Chan School of Public Health,Department of Epidemiology
[46] Massachusetts Institute of Technology,Department of Mathematics
[47] Heidelberg University,Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim
[48] University of Basel,Department of Psychiatry (UPK)
[49] University of Basel,Department of Biomedicine
[50] University of Marburg,Centre for Human Genetics
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Depression is a leading cause of worldwide disability but there remains considerable uncertainty regarding its neural and behavioural associations. Here, using non-overlapping Psychiatric Genomics Consortium (PGC) datasets as a reference, we estimate polygenic risk scores for depression (depression-PRS) in a discovery (N = 10,674) and replication (N = 11,214) imaging sample from UK Biobank. We report 77 traits that are significantly associated with depression-PRS, in both discovery and replication analyses. Mendelian Randomisation analysis supports a potential causal effect of liability to depression on brain white matter microstructure (β: 0.125 to 0.868, pFDR < 0.043). Several behavioural traits are also associated with depression-PRS (β: 0.014 to 0.180, pFDR: 0.049 to 1.28 × 10−14) and we find a significant and positive interaction between depression-PRS and adverse environmental exposures on mental health outcomes. This study reveals replicable associations between depression-PRS and white matter microstructure. Our results indicate that white matter microstructure differences may be a causal consequence of liability to depression.
引用
收藏
相关论文
共 50 条
  • [41] Phenome-wide association study of loci harboring de novo tandem repeat mutations in UK Biobank exomes
    Frank R. Wendt
    Gita A. Pathak
    Renato Polimanti
    Nature Communications, 13
  • [42] A phenome-wide association study of tandem repeat variation in 168,554 individuals from the UK Biobank
    Manigbas, Celine A.
    Jadhav, Bharati
    Garg, Paras
    Shadrina, Mariya
    Lee, William
    Altman, Gabrielle
    Martin-Trujillo, Alejandro
    Sharp, Andrew J.
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [43] Phenome-Wide Association of Gout Risk Loci
    Stens, Oleg
    Trang, Vivian
    Cao, Steven
    Terkeltaub, Robert
    Salem, Rany
    ARTHRITIS & RHEUMATOLOGY, 2021, 73 : 3299 - 3301
  • [44] Genetically determined serum urate levels and cardiovascular and other diseases in UK Biobank cohort: A phenome-wide mendelian randomization study
    Li, Xue
    Meng, Xiangrui
    He, Yazhou
    Spiliopoulou, Athina
    Timofeeva, Maria
    Wei, Wei-Qi
    Gifford, Aliya
    Yang, Tian
    Varley, Tim
    Tzoulaki, Ioanna
    Joshi, Peter
    Denny, Joshua C.
    Mckeigue, Paul
    Campbell, Harry
    Theodoratou, Evropi
    PLOS MEDICINE, 2019, 16 (10)
  • [45] Phenome-wide Burden of Copy-Number Variation in the UK Biobank
    Aguirre, Matthew
    Rivas, Manuel A.
    Priest, James
    AMERICAN JOURNAL OF HUMAN GENETICS, 2019, 105 (02) : 373 - 383
  • [46] Phenome-Wide Association Study of Polygenic Risk Score for Alzheimer's Disease in Electronic Health Records
    Fu, Mingzhou
    Chang, Timothy S.
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [47] Phenome-wide Mendelian-randomization study of genetically determined vitamin D on multiple health outcomes using the UK Biobank study
    Meng, Xiangrui
    Li, Xue
    Timofeeva, Maria N.
    He, Yazhou
    Spiliopoulou, Athina
    Wei, Wei-Qi
    Gifford, Aliya
    Wu, Hongjiang
    Varley, Timothy
    Joshi, Peter
    Denny, Joshua C.
    Farrington, Susan M.
    Zgaga, Lina
    Dunlop, Malcolm G.
    McKeigue, Paul
    Campbell, Harry
    Theodoratou, Evropi
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2019, 48 (05) : 1425 - 1434
  • [48] Comorbidities in lichen planus by phenome-wide association study in two biobank population cohorts
    Fromme, Malin
    Schneider, Carolin, V
    Schlapbach, Christoph
    Cazzaniga, Simone
    Trautwein, Christian
    Rader, Dan J.
    Borradori, Luca
    Strnad, Pavel
    BRITISH JOURNAL OF DERMATOLOGY, 2022, 187 (05) : 722 - 729
  • [49] A Phenome-wide Association Study of Perinatal Depression Reveals Novel Comorbidities
    Jasper, Elizabeth A.
    Hellwege, Jacklyn N.
    Edwards, Digna R. Velez
    JOURNAL OF WOMENS HEALTH, 2024, 33 (09) : A15 - A16
  • [50] Genetic correlations between ADHD and phenome-wide latent factors in the UK Biobank
    Carey, Caitlin
    Shafee, Rebecca
    Walters, Raymond
    Palmer, Duncan
    Abbott, Liam
    Howrigan, Daniel
    Churchhouse, Claire
    Neale, Ben
    Robinson, Elise
    BEHAVIOR GENETICS, 2019, 49 (06) : 514 - 514