Author

Ignacio Briceño

Universidad de La SabanaORCID 0000-0001-7300-6401Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

D. Gareth EvansiD· 3 shared Irene Louise AndrulisiD· 3 shared Javier J. BeniteziD· 3 shared Joe DennisiD· 3 shared Jose Esteban CastelaoiD· 3 shared Kamila CzeneiD· 3 shared Manjeet K. BollaiD· 3 shared Marina BermishevaiD· 3 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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3 shared papersGenetics

D. Gareth EvansORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineGenome MedicinePeer-reviewedMay 18, 2022

Breast cancer risks associated with missense variants in breast cancer susceptibility genes

Leila Dorling, Sara Carvalho, Jamie Allen…·Javier J. Benitez

The paper assesses breast cancer risks linked to rare missense variants in five susceptibility genes using logistic and mixture models, finding varying risk contributions across genes.

55 citationstop 2%

humanbulk RNA-seq

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

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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

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