Author

Giovanna Winicki

Brigham and Women's Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexandre C. PereiraiD· 2 shared Brian R. FerolitoiD· 2 shared Claudia GiambartolomeiiD· 2 shared J. Michael GazianoiD· 2 shared Kai Gravel-PucilloiD· 2 shared Kelly ChoiD· 2 shared Adam S. ButterworthiD· 1 shared Albert Navarro-GallinadiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alexandre C. PereiraORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Beyond the classical plasma secretome: genetic architecture and disease associations of the expanded human plasma proteome in 13,445 Europeans

Solène Cadiou, Eva König, Alessia Mapelli, Giulia Pontali, Dariush Ghasemi-Semeskandeh, Michele Filosi, Brian R. Ferolito, Michela Carlotta Massi, Gianmauro Cuccuru, Xiyun Jiang, Giovanna Winicki, Albert Navarro-Gallinad, Kai Gravel-Pucillo, Nicola Pirastu, Arianna Landini, , Adam S. Butterworth

This study expands the human plasma proteome analysis using an enhanced SomaScan platform, identifying new genetic associations and disease mechanisms beyond the classical secretome.

medRxiv · Jul 27, 2026 · PreprintGenetic & Genomic Medicine

A genomic-led strategy to anticipate drug safety effects

Brian R. Ferolito, Andréa R. V. R. Horimoto, Kai Gravel-Pucillo, Daniel J Golden, Hesam Dashti, Claudia Giambartolomei, Danielle Rasooly, Rachael Matty, Liam Gaziano, Yakov A. Tsepilov, Lauren Costa, Nicole Kosik, Harris Ioannidis, Mohd Anisul Karim, Giovanna Winicki, , Alexandre C. Pereira

The paper uses Mendelian Randomization to predict adverse drug reactions by linking genetic variants to gene expression and protein abundance across large datasets.

PLoS Genetics · Jul 16, 2026Peer-reviewedGenetic & Genomic Medicine