Author

Ellen Honisch

Düsseldorf University Hospital

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

Biology Disciplines

Click to filter author papers

Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Christoph EngeliD· 2 shared A. Heather EliasseniD· 1 shared ABCTB Investigators· 1 shared Adinda BateniD· 1 shared Aleksandra Gentry‐MaharajiD· 1 shared Alexandra Baumann· 1 shared Alison M. DunningiD· 1 shared Alpa V. PateliD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetic & Genomic Medicine

Christoph EngelORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Limitations in next-generation sequencing-based genotyping of breast cancer polygenic risk score loci

Alexandra Baumann, Christian Ruckert, Christoph Meier, Tim Hutschenreiter, Robert Remy, Benedikt Schnur, Marvin Döbel, Rudel Christian Nkouamedjo Fankep, Dariush Skowronek, Oliver Kutz, Norbert Arnold, Anna-Lena Katzke, Michael Forster, Anna-Lena Kobiela, Katharina Thiedig, , Corinna Ernst

This study evaluates the accuracy of next-generation sequencing in capturing allele frequencies for polygenic risk score loci in breast cancer, finding significant deviations affecting risk prediction.

European Journal of Human Genetics · Jun 21, 2024Peer-reviewedGenetic & Genomic Medicine

Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction

Kristia Yiangou, Nasim Mavaddat, Joe Dennis, Maria Zanti, Qin Wang, Manjeet K. Bolla, Mustapha Abubakar, Thomas U. Ahearn, Irene Louise Andrulis, Hoda Anton‐Culver, Natalia Antonenkova, Volker Arndt, Kristan J. Aronson, Annelie Augustinsson, Adinda Baten, , Paolo Radice

This study examines differences in polygenic risk score distributions across European populations and shows how country-specific calibration can improve breast cancer risk prediction.

medRxiv · Feb 12, 2024 · PreprintGenetic & Genomic Medicine