IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-49507-3.html
   My bibliography  Save this article

Quantifying the relative importance of genetics and environment on the comorbidity between mental and cardiometabolic disorders using 17 million Scandinavians

Author

Listed:
  • Joeri Meijsen

    (Mental Health Services Copenhagen University Hospital)

  • Kejia Hu

    (Karolinska Institutet)

  • Morten D. Krebs

    (Mental Health Services Copenhagen University Hospital)

  • Georgios Athanasiadis

    (Mental Health Services Copenhagen University Hospital
    University of Barcelona)

  • Sarah Washbrook

    (Mental Health Services in the Capital Region of Denmark)

  • Richard Zetterberg

    (Mental Health Services Copenhagen University Hospital)

  • Raquel Nogueira Avelar e Silva

    (Mental Health Services Copenhagen University Hospital)

  • John R. Shorter

    (Mental Health Services Copenhagen University Hospital
    Roskilde University)

  • Jesper R. Gådin

    (Mental Health Services Copenhagen University Hospital)

  • Jacob Bergstedt

    (Karolinska Institutet)

  • David M. Howard

    (King’s College London)

  • Weimin Ye

    (Karolinska Institutet)

  • Yi Lu

    (Karolinska Institutet)

  • Unnur A. Valdimarsdóttir

    (Karolinska Institutet
    University of Iceland
    Harvard T.H. Chan School of Public Health)

  • Andrés Ingason

    (Mental Health Services Copenhagen University Hospital)

  • Dorte Helenius

    (Mental Health Services Copenhagen University Hospital)

  • Oleguer Plana-Ripoll

    (Aarhus University and Aarhus University Hospital)

  • John J. McGrath

    (Queensland Centre for Mental Health Research
    The University of Queensland
    Aarhus University)

  • Nadia Micali

    (Mental Health Services Copenhagen University Hospital
    Mental Health Services in the Capital Region of Denmark
    University College London)

  • Ole A. Andreassen

    (Oslo University Hospital
    University of Oslo
    University of Oslo)

  • Thomas M. Werge

    (Mental Health Services Copenhagen University Hospital
    University of Copenhagen)

  • Fang Fang

    (Karolinska Institutet)

  • Alfonso Buil

    (Mental Health Services Copenhagen University Hospital)

Abstract

Mental disorders are leading causes of disability and premature death worldwide, partly due to high comorbidity with cardiometabolic disorders. Reasons for this comorbidity are still poorly understood. We leverage nation-wide health records and near-complete genealogies of Denmark and Sweden (n = 17 million) to reveal the genetic and environmental contributions underlying the observed comorbidity between six mental disorders and 15 cardiometabolic disorders. Genetic factors contributed about 50% to the comorbidity of schizophrenia, affective disorders, and autism spectrum disorder with cardiometabolic disorders, whereas the comorbidity of attention-deficit/hyperactivity disorder and anorexia with cardiometabolic disorders was mainly or fully driven by environmental factors. In this work we provide causal insight to guide clinical and scientific initiatives directed at achieving mechanistic understanding as well as preventing and alleviating the consequences of these disorders.

Suggested Citation

  • Joeri Meijsen & Kejia Hu & Morten D. Krebs & Georgios Athanasiadis & Sarah Washbrook & Richard Zetterberg & Raquel Nogueira Avelar e Silva & John R. Shorter & Jesper R. Gådin & Jacob Bergstedt & David, 2024. "Quantifying the relative importance of genetics and environment on the comorbidity between mental and cardiometabolic disorders using 17 million Scandinavians," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49507-3
    DOI: 10.1038/s41467-024-49507-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-49507-3
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-49507-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Vassily Trubetskoy & Antonio F. Pardiñas & Ting Qi & Georgia Panagiotaropoulou & Swapnil Awasthi & Tim B. Bigdeli & Julien Bryois & Chia-Yen Chen & Charlotte A. Dennison & Lynsey S. Hall & Max Lam & K, 2022. "Mapping genomic loci implicates genes and synaptic biology in schizophrenia," Nature, Nature, vol. 604(7906), pages 502-508, April.
    2. Bryan N Howie & Peter Donnelly & Jonathan Marchini, 2009. "A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies," PLOS Genetics, Public Library of Science, vol. 5(6), pages 1-15, June.
    3. Sonia Shah & Albert Henry & Carolina Roselli & Honghuang Lin & Garðar Sveinbjörnsson & Ghazaleh Fatemifar & Åsa K. Hedman & Jemma B. Wilk & Michael P. Morley & Mark D. Chaffin & Anna Helgadottir & Nie, 2020. "Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gianmarco Mignogna & Caitlin E. Carey & Robbee Wedow & Nikolas Baya & Mattia Cordioli & Nicola Pirastu & Rino Bellocco & Kathryn Fiuza Malerbi & Michel G. Nivard & Benjamin M. Neale & Raymond K. Walte, 2023. "Patterns of item nonresponse behaviour to survey questionnaires are systematic and associated with genetic loci," Nature Human Behaviour, Nature, vol. 7(8), pages 1371-1387, August.
    2. Andrew A. Brown & Juan J. Fernandez-Tajes & Mun-gwan Hong & Caroline A. Brorsson & Robert W. Koivula & David Davtian & Théo Dupuis & Ambra Sartori & Theodora-Dafni Michalettou & Ian M. Forgie & Jonath, 2023. "Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    3. Jacob Joseph & Chang Liu & Qin Hui & Krishna Aragam & Zeyuan Wang & Brian Charest & Jennifer E. Huffman & Jacob M. Keaton & Todd L. Edwards & Serkalem Demissie & Luc Djousse & Juan P. Casas & J. Micha, 2022. "Genetic architecture of heart failure with preserved versus reduced ejection fraction," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Daniel Svensson & Matilda Rentoft & Anna M Dahlin & Emma Lundholm & Pall I Olason & Andreas Sjödin & Carin Nylander & Beatrice S Melin & Johan Trygg & Erik Johansson, 2020. "A whole-genome sequenced control population in northern Sweden reveals subregional genetic differences," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-18, September.
    5. Chuan Gao & Nan Wang & Xiuqing Guo & Julie T Ziegler & Kent D Taylor & Anny H Xiang & Yang Hai & Steven J Kridel & Jerry L Nadler & Fouad Kandeel & Leslie J Raffel & Yii-Der I Chen & Jill M Norris & J, 2015. "A Comprehensive Analysis of Common and Rare Variants to Identify Adiposity Loci in Hispanic Americans: The IRAS Family Study (IRASFS)," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-17, November.
    6. Matthew Tegtmeyer & Jatin Arora & Samira Asgari & Beth A. Cimini & Ajay Nadig & Emily Peirent & Dhara Liyanage & Gregory P. Way & Erin Weisbart & Aparna Nathan & Tiffany Amariuta & Kevin Eggan & Marzi, 2024. "High-dimensional phenotyping to define the genetic basis of cellular morphology," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Samuel S. Kim & Buu Truong & Karthik Jagadeesh & Kushal K. Dey & Amber Z. Shen & Soumya Raychaudhuri & Manolis Kellis & Alkes L. Price, 2024. "Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    8. Paul S de Vries & Maria Sabater-Lleal & Daniel I Chasman & Stella Trompet & Tarunveer S Ahluwalia & Alexander Teumer & Marcus E Kleber & Ming-Huei Chen & Jie Jin Wang & John R Attia & Riccardo E Mario, 2017. "Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-22, January.
    9. Bo Jiang & Jun S. Liu, 2015. "Bayesian Partition Models for Identifying Expression Quantitative Trait Loci," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1350-1361, December.
    10. Shaan Khurshid & Julieta Lazarte & James P. Pirruccello & Lu-Chen Weng & Seung Hoan Choi & Amelia W. Hall & Xin Wang & Samuel F. Friedman & Victor Nauffal & Kiran J. Biddinger & Krishna G. Aragam & Pu, 2023. "Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    11. Michael G. Levin & Noah L. Tsao & Pankhuri Singhal & Chang Liu & Ha My T. Vy & Ishan Paranjpe & Joshua D. Backman & Tiffany R. Bellomo & William P. Bone & Kiran J. Biddinger & Qin Hui & Ozan Dikilitas, 2022. "Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    12. Rakesh Chettier & Lesa Nelson & James W Ogilvie & Hans M Albertsen & Kenneth Ward, 2015. "Haplotypes at LBX1 Have Distinct Inheritance Patterns with Opposite Effects in Adolescent Idiopathic Scoliosis," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-11, February.
    13. Michel S. Naslavsky & Marilia O. Scliar & Guilherme L. Yamamoto & Jaqueline Yu Ting Wang & Stepanka Zverinova & Tatiana Karp & Kelly Nunes & José Ricardo Magliocco Ceroni & Diego Lima Carvalho & Carlo, 2022. "Whole-genome sequencing of 1,171 elderly admixed individuals from Brazil," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    14. Jordi Manuello & Joosung Min & Paul McCarthy & Fidel Alfaro-Almagro & Soojin Lee & Stephen Smith & Lloyd T. Elliott & Anderson M. Winkler & Gwenaëlle Douaud, 2024. "The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    15. Ruoyu Tian & Tian Ge & Hyeokmoon Kweon & Daniel B. Rocha & Max Lam & Jimmy Z. Liu & Kritika Singh & Daniel F. Levey & Joel Gelernter & Murray B. Stein & Ellen A. Tsai & Hailiang Huang & Christopher F., 2024. "Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    16. Steinrücken, Matthias & Paul, Joshua S. & Song, Yun S., 2013. "A sequentially Markov conditional sampling distribution for structured populations with migration and recombination," Theoretical Population Biology, Elsevier, vol. 87(C), pages 51-61.
    17. James P. Pirruccello & Paolo Achille & Seung Hoan Choi & Joel T. Rämö & Shaan Khurshid & Mahan Nekoui & Sean J. Jurgens & Victor Nauffal & Shinwan Kany & Kenney Ng & Samuel F. Friedman & Puneet Batra , 2024. "Deep learning of left atrial structure and function provides link to atrial fibrillation risk," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    18. Wendiao Zhang & Ming Zhang & Zhenhong Xu & Hongye Yan & Huimin Wang & Jiamei Jiang & Juan Wan & Beisha Tang & Chunyu Liu & Chao Chen & Qingtuan Meng, 2023. "Human forebrain organoid-based multi-omics analyses of PCCB as a schizophrenia associated gene linked to GABAergic pathways," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    19. Anshuman Sewda & A J Agopian & Elizabeth Goldmuntz & Hakon Hakonarson & Bernice E Morrow & Fadi Musfee & Deanne Taylor & Laura E Mitchell & on behalf of the Pediatric Cardiac Genomics Consortium, 2020. "Gene-based analyses of the maternal genome implicate maternal effect genes as risk factors for conotruncal heart defects," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-15, June.
    20. Lin Yuan & Chang-An Yuan & De-Shuang Huang, 2017. "FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis," Complexity, Hindawi, vol. 2017, pages 1-10, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49507-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.