Author

Manaswitha Edupalli

Broad Institute

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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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Bonnie BergeriD· 2 shared Hyunghoon ChoiD· 2 shared Apostolos PyrgelisiD· 1 shared Carika WeldoniD· 1 shared David FroelicheriD· 1 shared Devy Frederick· 1 shared Jean‐Pierre HubauxiD· 1 shared Jeffrey W. CheniD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Bonnie BergerORCID

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Author profile →

3 papers

Recent·Most cited

BioVault: A privacy-first data visitation platform for equitable global collaboration in biomedicine

Manaswitha Edupalli, Tivadar Torok, Madhava Jay, Keelan Jordan, Zeynab Abdirahman, Devy Frederick, Carika Weldon, Rana Basem Dajani, Xi Dawn Chen

BioVault enables privacy-first biomedical collaboration by allowing analysis code to visit data locally, avoiding data transfer and preserving privacy and data sovereignty.

bioRxiv · Feb 14, 2026 · PreprintGenomics

Secure and Federated Genome-Wide Association Studies for Biobank-Scale Datasets

Hyunghoon Cho, David Froelicher, Jeffrey Y. Chen, Manaswitha Edupalli, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean‐Pierre Hubaux, Bonnie Berger

This paper introduces SF-GWAS, a secure federated framework for GWAS that enables efficient and accurate analysis of private genomic data across institutions.

Nature Genetics · Feb 24, 2025Peer-reviewedBioinformatics

Secure and federated linear mixed model association tests

Jeffrey W. Chen, Manaswitha Edupalli, Bonnie Berger, Hyunghoon Cho

This paper introduces SafeGENIE, a secure and efficient algorithm for LMM-based GWAS that enables collaborative analysis without data sharing.

bioRxiv · May 20, 2022 · PreprintBioinformatics