Author

Mia M. Gaudet

American Cancer SocietyORCID 0000-0002-6429-4007Unclaimed ORCID profile · follow to get notified of new preprints

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alison M. DunningiD· 3 shared Angela CoxiD· 3 shared Barbara BurwinkeliD· 3 shared CARL P. BLOMQVISTiD· 3 shared D. Gareth EvansiD· 3 shared Diana EcclesiD· 3 shared Hermann BrenneriD· 3 shared Hiltrud B. BrauchiD· 3 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Alison M. DunningORCID

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3 papers

Recent·Most cited

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

Thomas U. Ahearn, Haoyu Zhang, Kyriaki Michailidou, Roger Laughlin Milne, Manjeet K. Bolla, Joe Dennis, Alison M. Dunning, Michael J. Lush, Qin Wang, Irene Louise Andrulis, Hoda Anton‐Culver, Volker Arndt, Kristan J. Aronson, Paul Livermore Auer, Annelie Augustinsson, , 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.

Breast Cancer Research · Jan 4, 2022Peer-reviewedGenetics

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

Shared heritability and functional enrichment across six solid cancers

Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, , 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.

Nature Communications · Jan 25, 2019Peer-reviewedGenomics