Author

Krystyna Taylor

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

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Matthew W PearsoniD· 2 shared Sayoni DasiD· 2 shared Steve GardneriD· 2 shared Claus Erik Jensen· 1 shared Gert Lykke Møller· 1 shared James A. Kozubek· 1 shared Jason M. SardelliD· 1 shared Karolina Chocian· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Matthew W PearsonORCID

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2 papers

Recent·Most cited

Genetic Risk Factors for Severe and Fatigue Dominant Long COVID and Commonalities with ME/CFS Identified by Combinatorial Analysis

Krystyna Taylor, Matthew W Pearson, Sayoni Das, Jason M. Sardell, Karolina Chocian, Steve Gardner

This paper identifies 73 genes associated with severe or fatigue dominant long COVID through combinatorial analysis and finds overlaps with ME/CFS and potential drug targets.

Journal of Translational Medicine · Nov 1, 2023Peer-reviewedGenetic & Genomic Medicine

Analysis of Genetic Host Response Risk Factors in Severe COVID-19 Patients

Krystyna Taylor, Sayoni Das, Matthew W Pearson, James A. Kozubek, Marcin Pawłowski, Claus Erik Jensen, Zbigniew Skowron, Gert Lykke Møller, Mark A. Strivens, Steve Gardner

This study identifies 68 genetic risk factors associated with severe COVID-19 using combinatorial analysis, highlighting pathways like calcium signaling and potential drug targets.

medRxiv · Jun 17, 2020 · PreprintGenetic & Genomic Medicine