Author

Jacquiline Wangui Mugo

University of Cape TownORCID 0000-0003-0008-4358Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Emile Rugamika ChimusaiD· 2 shared Nicola MulderiD· 2 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersGenetic & Genomic Medicine

Emile Rugamika ChimusaORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 26, 2023

JasMAP: A Joint Ancestry and SNP Association Method for a Multi-way Admixed Population

Jacquiline Wangui Mugo, Emile Rugamika Chimusa, Nicola Mulder

JasMAP improves GWAS power in multi-way admixed populations by jointly analyzing genotype and ancestry associations, identifying 13 significant SNPs in a South African Coloured population with TB.

1 citation

humanGWAS summary statistics

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Genetic & Genomic MedicinemedRxivPreprintOct 26, 2023

Data Simulation to Optimize the GWAS Framework in Diverse Populations

Jacquiline Wangui Mugo, Emile Rugamika Chimusa, Nicola Mulder

This study simulates genomic data from diverse populations to assess GWAS tool performance and proposes an optimized framework for analyzing GWAS data in non-European populations.

DOI 10.1101/2023.10.26.23297606

GWAS summary statisticssimulation

𝕏 PostBluesky