Author

Erik Soerensen

Rigshospitalet

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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Organism:human· 2 Approach:statistical model· 2 Assay:GWAS summary statistics· 1 Research Focus:polygenic risk· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Christian ErikstrupiD· 2 shared Mette NyegaardiD· 2 shared Ole Birger PederseniD· 2 shared Sisse Rye OstrowskiiD· 2 shared Alberte Aspaas LundquistiD· 1 shared Allan Meldgaard LundiD· 1 shared Anna ByrjalseniD· 1 shared Bitten AagaardiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Christian ErikstrupORCID

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2 papers

Recent·Most cited

Low-cost rare variant detection for population scale genetic screening

Mads Cort Nielsen, Caroline M. Junker Mentzel, Ulrik Kristoffer Stoltze, Christian M. Hagen, Marie Bækvad-Hansen, Anna Byrjalsen, Lone Sunde, Alberte Aspaas Lundquist, Allan Meldgaard Lund, J Tfelt-Hansen, Tania Nicole Masmas, Erik Soerensen, Ole Birger Pedersen, Christian Erikstrup, Sisse Rye Ostrowski, , Simon Rasmussen

This paper introduces DoBSeq, a low-cost framework for detecting rare variants in population-scale genetic screening, achieving 95% variant detection and recovering all clinically relevant pathogenic variants in ACMG genes.

medRxiv · Jul 10, 2026 · PreprintGenetic & Genomic Medicine

Genetic liability for endometriosis associates with pain, inflammatory, and metabolic traits: a polygenic score analysis

Juliane Lyng Beauchamp, Karina Banasik, Lisette J. A. Kogelman, David Westergaard, Dea Froeding Skipper, Olafur B. Davidsson, Sisse Rye Ostrowski, Christina Mikkelsen, Christian Erikstrup, Mie Topholm Bruun, Bitten Aagaard, Ole Birger Pedersen, Erik Soerensen, Henrik Ullum, DBDS Genomic Cosnoritum, , Henriette Svarre Nielsen

This paper uses a polygenic risk score to show that genetic liability for endometriosis is linked to pain, inflammatory, and metabolic traits in both sexes.

medRxiv · Jun 22, 2026 · PreprintGenetic & Genomic Medicine