Author

Sushrima Gan

University of DundeeORCID 0000-0002-0221-9925Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Aditya Nar· 2 shared Alex S. F. DoneyiD· 2 shared Colin N. A. PalmeriD· 2 shared Gittu GeorgeiD· 2 shared Viswanathan MohaniD· 2 shared Andrew BrowniD· 1 shared Huan WangiD· 1 shared Jason James HaiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Aditya Nar

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2 papers

Recent·Most cited

iPheGWAS : an intelligent computational framework to integrate and visualise genome-phenome wide association studies

Gittu George, Yu Huang, Sushrima Gan, Aditya Nar, Jason James Ha, Venkatesan Radha, Viswanathan Mohan, Huan Wang, Andrew Brown, Colin N. A. Palmer, Alex S. F. Doney

iPheGWAS integrates and visualizes GWAS results using hierarchical clustering, offering faster genetic correlation analysis and 3D visualization compared to LDSC.

bioRxiv · Mar 5, 2022 · PreprintBioinformatics

PheGWAS: A new dimension to visualize GWAS across multiple phenotypes

Gittu George, Sushrima Gan, Yu Shu Huang, Philip Appleby, Aditya Nar, Radha Venkatesan, Viswanathan Mohan, Colin N A Palmer, Alex S. F. Doney

PheGWAS creates a 3D visualization combining GWAS and PheWAS data to explore pleiotropy across phenotypes, identifying loci and genetic correlations.

Bioinformatics · Dec 18, 2019Peer-reviewedBioinformatics