Author

Steve Gardner

ORCID 0000-0002-5490-3358Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Research Focus:gene regulatory network inference· 5 Assay:GWAS summary statistics· 5 Research Focus:benchmarking· 3 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Sayoni DasiD· 6 shared Jason M. SardelliD· 5 shared Matthew W PearsoniD· 4 shared K Taylor· 3 shared Karolina Chocian· 3 shared A Rochlin· 2 shared Colin R. Stubberfield· 2 shared Krystyna Taylor· 2 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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6 shared papersGenetic & Genomic Medicine

Sayoni DasORCID

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Identification of Novel Reproducible Combinatorial Genetic Risk Factors for Myalgic Encephalomyelitis in the DecodeME Patient Cohort and Commonalities with Long COVID

Jason M. Sardell, Sayoni Das, Matthew W Pearson, Dmitry S. Kolobkov, A. R. Malinowski, LM Fullwood, Marianna Sanna, Helen C. Baxter, Kirsty E. McLellan, Michael Natt, Daphne Lamirel, S. Chowdhury, MA Strivens, Steve Gardner

This paper identifies 22,411 reproducible genetic signatures associated with ME in DecodeME cohorts and finds significant overlap with long COVID genes, suggesting shared mechanisms but distinct diseases.

Journal of Translational Medicine · Apr 21, 2026Peer-reviewedGenetic & Genomic Medicine

Identification and Reproducibility of Novel Combinatorial Genetic Risk Factors for Endometriosis across UK and US Patient Cohorts

Jason M. Sardell, Sayoni Das, GL Møller, Marianna Sanna, Karolina Chocian, K Taylor, AR Malinowski, Colin R. Stubberfield, A Rochlin, Steve Gardner

This paper identifies and validates novel combinatorial genetic risk factors for endometriosis in UK and US cohorts, showing high reproducibility across diverse populations.

medRxiv · Aug 13, 2025 · PreprintGenetic & Genomic Medicine

Reproducibility of Genetic Risk Factors Identified for Long COVID using Combinatorial Analysis Across US and UK Patient Cohorts with Diverse Ancestries

Jason M. Sardell, Matthew W Pearson, Karolina Chocian, Sayoni Das, K Taylor, M. Strivens, R Gupta, A Rochlin, Steve Gardner

This study reproduces genetic risk factors for long COVID identified in a European ancestry cohort across ancestrally diverse populations, showing significant enrichment of disease signatures and supporting drug repurposing candidates.

Journal of Translational Medicine · May 8, 2025Peer-reviewedGenetic & Genomic Medicine

Actively Protective Combinatorial Analysis: a Scalable Novel Method for Detecting Variants that Contribute to Reduced Disease Prevalence in High-Risk Individuals

Jason M. Sardell, Sayoni Das, K Taylor, Colin R. Stubberfield, A Malinowski, Mark A. Strivens, Steve Gardner

This paper introduces a method to detect genetic variants that reduce disease risk in high-risk individuals, identifying protective signatures that could inform drug targets and precision medicine.

Artificial Intelligence in the Life Sciences · Jan 31, 2025Peer-reviewedGenetic & Genomic Medicine

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