Author

Christine L. Clarke

The University of SydneyORCID 0000-0001-7568-111XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Assay:GWAS summary statistics· 3 Research Focus:GWAS / association mapping· 2 Research Focus:differential expression· 1 Research Focus:fine-mapping· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Angela CoxiD· 4 shared D. Gareth EvansiD· 4 shared Hermann BrenneriD· 4 shared Hoda Anton‐CulveriD· 4 shared Irene Louise AndrulisiD· 4 shared Javier J. BeniteziD· 4 shared Joe DennisiD· 4 shared Jose Esteban CastelaoiD· 4 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenetics

Angela CoxORCID

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Author profile →

4 papers

Recent·Most cited

GeneticsBreast Cancer ResearchPeer-reviewedJan 4, 2022

Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Thomas U. Ahearn, Haoyu Zhang, Kyriaki Michailidou…·Peter T. Simpson

The paper identifies breast cancer risk variants associated with tumor subtypes and shows their differential effects on luminal and non-luminal subtypes.

33 citations

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintMay 20, 2021

Rare copy number variants (CNVs) and breast cancer risk

Joe Dennis, Jonathan P. Tyrer, Logan C. Walker…·Rita Katharina Schmutzler

The paper analyzes rare copy number variants (CNVs) in breast cancer cases and controls, identifying associations with known and novel susceptibility loci.

DOI 10.1101/2021.05.20.444828

humanwhole-genome sequencing

𝕏 PostBluesky

GeneticsNature GeneticsPeer-reviewedMay 18, 2020

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

Haoyu Zhang, Thomas U. Ahearn, Julie Lecarpentier…·Peter Hillemanns

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

503 citationstop 1%

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