Author

Natasha E. Wade

University of California San DiegoORCID 0000-0002-9629-2305Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Alexander L. WallaceiD· 2 shared Hollie R. ByrneiD· 2 shared Joanna JacobusiD· 2 shared Louise R. MewtoniD· 2 shared Rachel VisontayiD· 2 shared Ryan M. SullivaniD· 2 shared Veronica SzpakiD· 2 shared Chun Chieh FaniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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2 shared papersNeuroscience

Alexander L. WallaceORCID

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3 papers

Recent·Most cited

NeuroscienceNeuropsychopharmacologyPeer-reviewedApr 20, 2026

Longitudinal Neurocognitive Trajectories in a Large Cohort of Youth Who Use Cannabis: Combining Self-Report and Toxicology

Natasha E. Wade, Ryan M. Sullivan, Alexander L. Wallace…·Susan Frances Tapert

The paper examines how cannabis use onset and THC/CBD exposure affect neurocognitive trajectories in adolescents using longitudinal data from the ABCD Study.

3 citationstop 1%

humanelectronic health records

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NeurosciencebioRxivPreprintMay 8, 2025

Structural Covariance Network Properties Predictive of Early Adolescent Alcohol Initiation

Hollie R. Byrne, Rachel Visontay, Emma Krogh Devine…·Louise R. Mewton

This study finds that structural covariance network properties in children aged 9-10 years predict early alcohol initiation before age 15.

DOI 10.1101/2025.05.08.652983

humanimaging

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Genetic & Genomic MedicinemedRxivPreprintApr 7, 2025

Predicting Genetic Risk for Impulsivity and Substance Use in Adolescence

Natasha E. Wade, Jonathan Ahern, Veronica Szpak…·Robert J. Loughnan

This study uses polygenic scores to predict impulsivity and substance use in adolescents, finding age-related changes in genetic associations and highlighting caffeine as an early risk factor.

1 citation

humanGWAS summary statistics

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