Author

Thorsten Brodersen

Zealand University Hospital KøgeORCID 0000-0003-4431-9972Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

Bjarke FeenstraiD· 2 shared Christian ErikstrupiD· 2 shared Christina MikkelseniD· 2 shared Daniel Fannar GudbjartssoniD· 2 shared David WestergaardiD· 2 shared Erik SørenseniD· 2 shared Frank GelleriD· 2 shared Henrik UllumiD· 2 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Bjarke FeenstraORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintAug 10, 2023

Pregnancy-Associated Bleeding and Genetics: Five Sequence Variants in the Myometrium and Progesterone Signaling Pathway are associated with postpartum hemorrhage

David Westergaard, Valgerður Steinthórsdóttir, Lilja Stefánsdóttir…·Henriette Svarre Nielsen

The paper identifies five genetic loci associated with postpartum hemorrhage through a meta-analysis and links them to progesterone receptor binding sites and related traits.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedMay 24, 2023

Deep integrative models for large-scale human genomics

Arnor Ingi Sigurdsson, Ioannis Evangelos Louloudis, Karina Banasik…·Simon Rasmussen

The paper introduces a deep learning framework for polygenic risk score prediction, showing improved performance over traditional methods for various diseases.

36 citationstop 3%

humanGWAS summary statistics

𝕏 PostBluesky