Author

Nicolò Trevisan

Radboud University Medical CenterORCID 0000-0003-4486-0718Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Christian F. BeckmanniD· 3 shared Emma SprooteniD· 3 shared Lennart M. OblongiD· 3 shared Sourena Soheili‐NezhadiD· 3 shared Yingjie ShiiD· 3 shared Margo Raijmakers· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Christian F. BeckmannORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 6, 2025

Independent Polygenic Component Scores Link Multivariate Brain Imaging Genetics to Diverse Phenotypes

Lennart M. Oblong, Sourena Soheili‐Nezhad, Nicolò Trevisan…·Emma Sprooten

This paper introduces polygenic component scores derived from genomICA components to link brain imaging genetics to diverse phenotypes, showing they predict physical and cognitive traits but not mental health outcomes.

DOI 10.1101/2025.06.06.25329112

humanGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintApr 7, 2025

The Genetic Architecture of Brain Structure and Function: A Data-Driven Interpretation Using genomICA

Nicolò Trevisan, Lennart M. Oblong, Margo Raijmakers…·Emma Sprooten

The paper applies genomICA to GWAS data from brain MRI phenotypes to identify genetic components associated with neurobiological processes and behaviors.

1 citation

humanGWAS summary statistics

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NeuroscienceGenes Brain & BehaviorPeer-reviewedJan 15, 2024

Principal and Independent Genomic Components of Brain Structure and Function

Lennart M. Oblong, Sourena Soheili‐Nezhad, Nicolò Trevisan…·Emma Sprooten

This paper introduces genomic principal and independent component analysis to decompose GWAS statistics of brain traits, showing improved reproducibility and interpretability of genetic effects.

15 citations

humanGWAS summary statistics

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