Author

Bertram Dalskov Kjerulff

Aarhus University HospitalORCID 0000-0001-9953-9521Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Christian ErikstrupiD· 3 shared Christina MikkelseniD· 3 shared Daniel Fannar GudbjartssoniD· 3 shared Erik SørenseniD· 3 shared Henrik UllumiD· 3 shared Michael SchwinniD· 3 shared Mie Topholm BruuniD· 3 shared Ole Birger Vesterager PederseniD· 3 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Christian ErikstrupORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineBritish Journal of CancerPeer-reviewedJul 14, 2026

Combining genome-wide polygenic scores with registry data for colorectal cancer risk-based screening

Anne Krogh Nøhr, Marie Giehm Overby, Mads Munk Nielsen…·Steffen UIlltz Thorsen

This study evaluates polygenic risk scores (PRS) for colorectal cancer (CRC) screening, showing they stratify risk independently of ancestry and sex but offer limited additional predictive value when combined with FIT.

DOI 10.1038/s41416-026-03532-9

humanwhole-exome sequencing

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintMar 3, 2026

GWAS of amiodarone-induced thyroid dysfunction: Applications for genotype-guided risk stratification

Søren Albertsen Rand, Johan Skov Bundgaard, Vinicius Tragante…·Jonas Ghouse

This paper identifies genetic variants associated with amiodarone-induced thyroid dysfunction and shows they improve risk prediction beyond general thyroid disease PRS.

DOI 10.64898/2026.03.02.26347413

humanGWAS summary statistics

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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