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Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study

Author

Listed:
  • E. P. Tissink

    (Amsterdam Neuroscience
    an institute of the Royal Netherlands Academy of Arts and Sciences)

  • A. A. Shadrin

    (Building 48)

  • D. Meer

    (Building 48
    Maastricht University)

  • N. Parker

    (Building 48)

  • G. Hindley

    (Building 48
    King’s College London)

  • D. Roelfs

    (Building 48)

  • O. Frei

    (Building 48)

  • C. C. Fan

    (Laureate Institute for Brain Research
    University of California San Diego)

  • M. Nagel

    (Amsterdam Neuroscience)

  • T. Nærland

    (Building 31)

  • M. Budisteanu

    (Prof. Dr. Alex Obregia Clinical Hospital of Psychiatry
    “Victor Babes” National Institute of Pathology)

  • S. Djurovic

    (Building 48
    Building 31
    Oslo University Hospital)

  • L. T. Westlye

    (Building 48
    Building 31
    University of Oslo)

  • M. P. Heuvel

    (Amsterdam Neuroscience
    VU University Medical Centre)

  • D. Posthuma

    (Amsterdam Neuroscience
    VU University Medical Centre)

  • T. Kaufmann

    (Building 48
    University of Tübingen)

  • A. M. Dale

    (University of California San Diego
    University of California San Diego
    University of California San Diego)

  • O. A. Andreassen

    (Building 48
    Building 31)

Abstract

Genetic pleiotropy is abundant across spatially distributed brain characteristics derived from one neuroimaging modality (e.g. structural, functional or diffusion magnetic resonance imaging [MRI]). A better understanding of pleiotropy across modalities could inform us on the integration of brain function, micro- and macrostructure. Here we show extensive genetic overlap across neuroimaging modalities at a locus and gene level in the UK Biobank (N = 34,029) and ABCD Study (N = 8607). When jointly analysing phenotypes derived from structural, functional and diffusion MRI in a genome-wide association study (GWAS) with the Multivariate Omnibus Statistical Test (MOSTest), we boost the discovery of loci and genes beyond previously identified effects for each modality individually. Cross-modality genes are involved in fundamental biological processes and predominantly expressed during prenatal brain development. We additionally boost prediction of psychiatric disorders by conditioning independent GWAS on our multimodal multivariate GWAS. These findings shed light on the shared genetic mechanisms underlying variation in brain morphology, functional connectivity, and tissue composition.

Suggested Citation

  • E. P. Tissink & A. A. Shadrin & D. Meer & N. Parker & G. Hindley & D. Roelfs & O. Frei & C. C. Fan & M. Nagel & T. Nærland & M. Budisteanu & S. Djurovic & L. T. Westlye & M. P. Heuvel & D. Posthuma & , 2024. "Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46817-4
    DOI: 10.1038/s41467-024-46817-4
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