Author

Fatemeh Yavartanoo

Seoul National UniversityORCID 0009-0004-6400-9685Unclaimed 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:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Andrew D. PatersoniD· 2 shared Myriam BrossardiD· 2 shared Shelley B. BulliD· 2 shared Yun Joo YooiD· 2 shared Delnaz RoshandeliD· 1 shared Kexin Luo· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersGenetics

Andrew D. PatersonORCID

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2 papers

Recent·Most cited

Dimension Reduction using Local Principal Components for Regression-based Multi-SNP Analysis in 1000 Genomes and the Canadian Longitudinal Study on Aging (CLSA)

Fatemeh Yavartanoo, Myriam Brossard, Shelley B. Bull, Andrew D. Paterson, Yun Joo Yoo

The paper introduces DRLPC to reduce multi-collinearity in SNP data, improving regression analysis power in two datasets.

Genetic Epidemiology · Mar 1, 2025Peer-reviewedGenetics

RegionScan: A comprehensive R package for region-level genome-wide association testing with integration and visualization of multiple-variant and single-variant hypothesis testing

Myriam Brossard, Delnaz Roshandel, Kexin Luo, Fatemeh Yavartanoo, Andrew D. Paterson, Yun Joo Yoo, Shelley B. Bull

RegionScan provides an R package for region-level genome-wide association testing and visualization, supporting multiple-variant and single-variant hypothesis testing with LD-adaptive region definition.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedGenetics