Author

Susanne Kaufmann

QIMR Berghofer Medical Research Institute

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· 1 Genetics· 1 Molecular Biology· 1

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Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Research Focus:GWAS / association mapping· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Haran SivakumaraniD· 3 shared Jonathan BeesleyiD· 3 shared Juliet D. FrenchiD· 3 shared Kristine M. HillmaniD· 3 shared Mahdi Moradi MarjanehiD· 3 shared Stacey L. EdwardsiD· 3 shared Alison M. DunningiD· 2 shared Andreas MölleriD· 2 shared

Activity by Year

2019-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Haran SivakumaranORCID

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3 papers

Recent·Most cited

GWAS and 3D chromatin mapping identifies multicancer risk genes associated with hormone-dependent cancers

S. Rivera, Juliet D. French, Mainá Bitar, Haran Sivakumaran, Sneha Nair, Susanne Kaufmann, Kristine M. Hillman, Mahdi Moradi Marjaneh, Jonathan Beesley, Stacey L. Edwards

The paper identifies 44 multi-cancer risk regions across four hormone-dependent cancers using GWAS and 3D chromatin mapping, annotating 53 candidate risk genes with potential therapeutic implications.

PLoS Genetics · Nov 25, 2024Peer-reviewedGenetic & Genomic Medicine

Chromatin interactome mapping at 139 independent breast cancer risk signals

Jonathan Beesley, Haran Sivakumaran, Mahdi Moradi Marjaneh, Luize Goncalves Lima, Kristine M. Hillman, Susanne Kaufmann, Natasha Tuano, Nehal Hussein, Sunyoung Ham, Pamela Mukhopadhyay, Stephen H. Kazakoff, Jason S. Lee, Kyriaki Michailidou, Daniel R. Barnes, Antonis C. Antoniou, , Stacey L. Edwards

The paper maps chromatin interactions at 139 breast cancer risk signals using Capture Hi-C and identifies candidate target genes and functional mechanisms.

Genome biology · Jan 7, 2020Peer-reviewedMolecular Biology

High-throughput allelic expression imbalance analyses identify candidate breast cancer risk genes

Mahdi Moradi Marjaneh, Haran Sivakumaran, Kristine M. Hillman, Susanne Kaufmann, Nehal Hussein, Luize Goncalves Lima, Sunyoung Ham, Siddhartha Kar, Jonathan Beesley, Laura Fachal, Douglas F. Easton, Alison M. Dunning, Andreas Möller, Georgia Chenevix‐Trench, Stacey L. Edwards, Juliet D. French

The paper identifies 14 genes, including NTN4, associated with breast cancer risk variants through allelic expression imbalance analysis.

bioRxiv · Jan 16, 2019 · PreprintGenetics