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

E P Tissink; A A Shadrin; D van der 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 van den Heuvel; D Posthuma; T Kaufmann; A M Dale; O A Andreassen

doi:10.1038/s41467-024-46817-4

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

E P Tissink, A A Shadrin, D van der 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 van den Heuvel, D Posthuma, T Kaufmann, A M Dale, O A Andreassen

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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.

Originele taal-2	Engels
Pagina's (van-tot)	2655
Tijdschrift	Nature Communications
Volume	15
Nummer van het tijdschrift	1
DOI's	https://doi.org/10.1038/s41467-024-46817-4
Status	Gepubliceerd - 26 mrt. 2024

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Tissink, E. P., Shadrin, A. A., van der Meer, D., Parker, N., Hindley, G., Roelfs, D., Frei, O., Fan, C. C., Nagel, M., Nærland, T., Budisteanu, M., Djurovic, S., Westlye, L. T., van den Heuvel, M. P., Posthuma, D., Kaufmann, T., Dale, A. M., & Andreassen, O. A. (2024). Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study. Nature Communications, 15(1), 2655. https://doi.org/10.1038/s41467-024-46817-4

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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.",

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Tissink, EP, Shadrin, AA, van der Meer, D, Parker, N, Hindley, G, Roelfs, D, Frei, O, Fan, CC, Nagel, M, Nærland, T, Budisteanu, M, Djurovic, S, Westlye, LT, van den Heuvel, MP, Posthuma, D, Kaufmann, T, Dale, AM & Andreassen, OA 2024, 'Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study', Nature Communications, vol. 15, nr. 1, blz. 2655. https://doi.org/10.1038/s41467-024-46817-4

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AU - Tissink, E P

AU - Shadrin, A A

AU - van der Meer, D

AU - Parker, N

AU - Hindley, G

AU - Roelfs, D

AU - Frei, O

AU - Fan, C C

AU - Nagel, M

AU - Nærland, T

AU - Budisteanu, M

AU - Djurovic, S

AU - Westlye, L T

AU - van den Heuvel, M P

AU - Posthuma, D

AU - Kaufmann, T

AU - Dale, A M

AU - Andreassen, O A

PY - 2024/3/26

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N2 - 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.

AB - 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.

KW - Humans

KW - Genome-Wide Association Study/methods

KW - Neuroimaging

KW - Phenotype

KW - Genetic Pleiotropy

KW - Brain/anatomy & histology

KW - Polymorphism, Single Nucleotide

KW - Genetic Predisposition to Disease

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DO - 10.1038/s41467-024-46817-4

M3 - Article

C2 - 38531894

SN - 2041-1723

VL - 15

SP - 2655

JO - Nature Communications

JF - Nature Communications

IS - 1

ER -

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

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