Author

Sotiris Karagounis

23andMe (United States)

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· 3

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:large language model· 1

Frequent Co-Authors

Adam AutoniD· 3 shared Suyash ShringarpureiD· 3 shared Qiaojuan Jane SuiD· 2 shared Xin WangiD· 2 shared Alan M. KwongiD· 1 shared Alejandro Hernandez· 1 shared Alexander Sasha GuseviD· 1 shared Alexandra ReynosoiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Adam AutonORCID

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3 papers

Recent·Most cited

Association between polygenic risk and survival in breast cancer patients

Danielle E. Kurant, Stefan Groha, Yi Ding, Chris German, Wei Wang, Julie M. Granka, Michael Vaclav Holmes, Stella W. Aslibekyan, Adam Auton, Elizabeth Babalola, Robert K. Bell, Jessica Bielenberg, Ninad S. Chaudhary, Zayn Cochinwala, Sayantan Das, , Alexander Sasha Gusev

This study finds that higher polygenic risk scores for breast cancer are associated with longer survival in patients, suggesting a link between genetic predisposition and less aggressive tumors.

BMC Cancer · Aug 28, 2025Peer-reviewedGenetic & Genomic Medicine

The impact on clinical success from the 23andMe cohort

Xin Wang, Sotiris Karagounis, Suyash Shringarpure, Rohith Srivas, Qiaojuan Jane Su, Vladimir Vacic, Steven J. Pitts, Adam Auton

This paper evaluates how the scale and quality of genetic data from the 23andMe cohort improve predictions of clinical success for drug targets.

medRxiv · Jun 17, 2024 · PreprintGenetic & Genomic Medicine

Large language models identify causal genes in complex trait GWAS

Suyash Shringarpure, Wei Wang, Sotiris Karagounis, Xin Wang, Anna C. Reisetter, Adam Auton, Aly Azeem Khan

This study shows large language models can accurately prioritize causal genes at GWAS loci, outperforming existing methods and offering a scalable solution.

medRxiv · May 30, 2024 · PreprintGenetic & Genomic Medicine