Author

Rosa Bjork Barkardottir

University of IcelandORCID 0000-0003-0629-2772Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:GWAS / association mapping· 2 Research Focus:fine-mapping· 1

Frequent Co-Authors

Banu AruniD· 3 shared D. Gareth EvansiD· 3 shared Daniel R. BarnesiD· 3 shared Hoda Anton‐CulveriD· 3 shared Ian CampbelliD· 3 shared Irene Louise AndrulisiD· 3 shared Joe DennisiD· 3 shared Jonathan P. TyreriD· 3 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Banu ArunORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintFeb 29, 2024

Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk

Daniel R. Barnes, Jonathan P. Tyrer, Joe Dennis…·Kirsten B. Moysich

This study identifies seven novel genetic loci associated with high-grade serous ovarian cancer risk using a large-scale GWAS and develops polygenic scores for improved risk prediction.

3 citations

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsNature GeneticsPeer-reviewedJan 1, 2020

Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

GEMO Study Collaborators, Laura Fachal, EMBRACE Collaborators…·Peter Andreas Fasching

This study fine-maps 150 breast cancer risk regions to identify 178 high confidence target genes using genomic and functional annotations.

174 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsNature CommunicationsPeer-reviewedJan 25, 2019

Shared heritability and functional enrichment across six solid cancers

Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher…·Patricia A. Ganz

This study quantifies genetic correlations between six solid cancers and other diseases using GWAS data, finding shared heritability and functional enrichment in regulatory regions.

110 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky