Author

Aditya Nar

University of Dundee

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Alex S. F. DoneyiD· 2 shared Colin N. A. PalmeriD· 2 shared Gittu GeorgeiD· 2 shared Sushrima GaniD· 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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Alex S. F. DoneyORCID

Mutual co-authors in cluster

Author profile →

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