Author

Shakuntala Baichoo

University of MauritiusORCID 0000-0002-9335-1939Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Caroline V. AndrewsiD· 2 shared Timothy Richard RebbeckiD· 2 shared Achille Van Christ ManirakizaiD· 1 shared Afua O.D. AbrahamsiD· 1 shared Akindele Olupelumi AdebiyiiD· 1 shared Akintunde Taiwo OrunmuyiiD· 1 shared Alfred I. NeugutiD· 1 shared Allison Niragira· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenetics

Caroline V. AndrewsORCID

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Author profile →

3 papers

Recent·Most cited

A Common Pathogenic Founder Variant in Rwandan Breast Cancer Cases

Achille Van Christ Manirakiza, Shakuntala Baichoo, Annette Uwineza, Damas Dukundane, Eulade Rugengamanzi, Janvière Mutamuliza, Allison Niragira, Raissa Muvunyi, Jeffrey Besada, Sarah M. Nielsen, Brianna A. Bucknor, Diane Renee Koeller, Caroline V. Andrews, Léon Mutesa, Temidayo A. Fadelu, Timothy Richard Rebbeck

The paper identifies a common BRCA1 founder variant in Rwandan breast cancer patients and estimates its origin to be around 4,000-10,000 years ago.

bioRxiv · May 29, 2026 · PreprintGenetics

H3AGWAS : A portable workflow for Genome Wide Association Studies

Jean‐Tristan Brandenburg, Lindsay V. Clark, Gerrit Botha, Sumir Panji, Shakuntala Baichoo, Christopher J. Fields, Scott Hazelhurst

H3AGWAS provides a scalable and portable workflow for conducting GWAS, enabling pre-association, association testing, and post-association analysis with containerized software.

BMC Bioinformatics · Nov 19, 2022Peer-reviewedBioinformatics

A custom genotyping array reveals population-level heterogeneity for the genetic risks of prostate cancer and other cancers in Africa

Maxine S. Harlemon, Olabode Ajayi, Paidamoyo Kachambwa, Michelle S. Kim, Corinne Simonti, Melanie H. Quiver, Desiree C. Petersen, Anuradha Mittal, Pedro W. Fernandez, Ann W. Hsing, Shakuntala Baichoo, Ilir Agalliu, Mohamed Jalloh, Sérigne Maguèye Gueye, Nana Yaa Snyper, , Joseph Lachance

The paper develops a genotyping array tailored for African populations to identify cancer risk variants, finding population-specific allele frequency differences and lower prostate cancer risk in Senegal compared to Nigeria.

Cancer Research · May 11, 2020Peer-reviewedGenomics