Author

Julian C. McClellan

University of Chicago

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Genetic & Genomic Medicine· 3

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:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Dezheng HuoiD· 3 shared Guimin GaoiD· 3 shared Olufunmilayo Ibironke OlopadeiD· 3 shared Alvaro BarbeiraiD· 2 shared Hae Kyung ImiD· 2 shared James LiiD· 2 shared Peter N. FioricaiD· 2 shared Alison M. DunningiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

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10 top collaborators · 33 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Dezheng HuoORCID

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3 papers

Recent·Most cited

A splicing-based multi-tissue joint transcriptome-wide association study identifies susceptibility genes for breast cancer

Guimin Gao, Julian C. McClellan, Alvaro Barbeira, Peter N. Fiorica, James Li, Zepeng Mu, Olufunmilayo Ibironke Olopade, Dezheng Huo, Hae Kyung Im

This study performs a multi-tissue splicing-TWAS to identify breast cancer susceptibility genes, finding 240 significant genes and highlighting the importance of splicing over expression.

The American Journal of Human Genetics · May 10, 2024Peer-reviewedGenetic & Genomic Medicine

A joint transcriptome-wide association study across multiple tissues identifies new candidate susceptibility genes for breast cancer

Guimin Gao, Peter N. Fiorica, Julian C. McClellan, Alvaro Barbeira, James Li, Olufunmilayo Ibironke Olopade, Hae Kyung Im, Dezheng Huo

This study performs a joint transcriptome-wide association study across multiple tissues to identify new candidate susceptibility genes for breast cancer, finding 380 genes at 129 loci with 22 remaining significant after conditioning on known variants.

The American Journal of Human Genetics · May 9, 2023Peer-reviewedGenetic & Genomic Medicine

Polygenic Risk Scores for Prediction of Breast Cancer Risk in Women of African Ancestry: a Cross-Ancestry Approach

Guimin Gao, Fangyuan Zhao, Thomas U. Ahearn, Kathryn L. Lunetta, Melissa A. Troester, Zhaohui Du, Temidayo Olusade Ogundiran, Oladosu Akanbi Ojengbede, William J. Blot, Katherine L. Nathanson, Susan M. Domchek, Barbara Berger Nemesure, Anselm J. M. Hennis, Stefan Ambs, Julian C. McClellan, , Dezheng Huo

This paper develops polygenic risk scores for breast cancer prediction in women of African ancestry by combining African and European ancestry datasets, improving prediction accuracy.

Human Molecular Genetics · May 10, 2022Peer-reviewedGenetic & Genomic Medicine