Author

Åke Borg

Lund UniversityORCID 0000-0002-5793-132XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Organism:mouse· 1

Frequent Co-Authors

Angela CoxiD· 2 shared Banu AruniD· 2 shared Barbara BurwinkeliD· 2 shared Bernardo BonanniiD· 2 shared CARL P. BLOMQVISTiD· 2 shared Christine L. ClarkeiD· 2 shared D. Gareth EvansiD· 2 shared Daniel BarrowdaleiD· 2 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 papersGenetics

Angela CoxORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses

Haoyu Zhang, Thomas U. Ahearn, Julie Lecarpentier, Daniel R. Barnes, Jonathan Beesley, Xia Jiang, Tracy A. O’Mara, Guanghao Qi, Ni Zhao, Manjeet K. Bolla, Alison M. Dunning, Joe Dennis, Qin Wang, Zumuruda Abu Ful, Kristiina Aittomäki, , Peter Hillemanns

This study identifies 32 new breast cancer susceptibility loci through GWAS, with associations varying by tumor subtype and genetic correlations among subtypes.

Nature Genetics · May 18, 2020Peer-reviewedGenetics

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

GEMO Study Collaborators, Laura Fachal, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Hugues Aschard, Jonathan Beesley, Daniel R. Barnes, Jamie Allen, Siddhartha Kar, Karen A. Pooley, Joe Dennis, Kyriaki Michailidou, Constance Turman, , Peter Andreas Fasching

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

Nature Genetics · Jan 1, 2020Peer-reviewedGenetics

High-density spatial transcriptomics arrays for in situ tissue profiling

Sanja Vicković, Gökçen Eraslan, Fredrik Salmén, Johanna Klughammer, Linnea Stenbeck, Denis Schapiro, Tarmo Äijö, Richard Bonneau, Ludvig Bergenstråhle, José Fernández Navarro, Joshua Gould, Gabriel Kenneth Griffin, Åke Borg, Mostafa Ronaghi, Jonas Frisén, , Patrik L. Ståhl

This paper introduces HDST, a high-resolution spatial transcriptomics method, and demonstrates its application in mouse brain tissue to resolve spatial expression patterns and cell types.

Nature Methods · Sep 9, 2019Peer-reviewedGenomics