ArticleNature communications2024
Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Multi-ancestry investigation of the genomics of erectile dysfunction.Nature communications · 2025Pooled it
- Prenatal and early-life determinants of neurodevelopment: A decade of discoveries and new directions in ABCD.Developmental cognitive neuroscience · 2026Review
- Decoding the shared genetic architecture of atherosclerotic cardiovascular disease: a genomic structural equation modeling analysis.BMC cardiovascular disorders · 2026Article
- Sex-stratified insights into the genetics of brain volumes in late adulthood.Biology of sex differences · 2026Article
- Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026Review
- Exploration of Genetic Overlap of Brain Phenotypes With Schizophrenia: Different Methods Provide Complementary Insights.Schizophrenia bulletin · 2026Article
- The genetic architecture of cortical similarity networks.Nature communications · 2026Article
- Shared genetic architecture between Alzheimer's disease and brain morphology.Alzheimer's research & therapy · 2026Article
- A decade of discovery: Leveraging genomic data in the ABCD study to illuminate adolescent neurodevelopment.Developmental cognitive neuroscience · 2026Review
- The genetic landscape of human functional brain connectivity.Nature communications · 2026Article
- MULTI-MODAL AND MULTI-REGION DISTANCE MODEL FOR NEUROIMAGING: APPLICATION TO ABCD STUDY.bioRxiv : the preprint server for biology · 2026Article
- Comparative population genomics reveals convergent adaptation across independent origins of avian obligate brood parasitism.Nature ecology & evolution · 2026Article
- COVID-19 pleiotropy with brain imaging-derived phenotypes highlights novel insights into the biology shared between immune function and brain variation.Brain communications · 2026Article
- Mapping Structural Neuroimaging Trajectories in Bipolar Disorder: Neurobiological and Clinical Implications.Biological psychiatry · 2025Review
- Enhanced insights into the genetic architecture of 3D cranial vault shape using pleiotropy-informed GWAS.Communications biology · 2025Article
- Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study.Nature communications · 2024Article
Corrections and comments
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Authors and funding
18 authors at 6 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.