Author

Jun Shan

Kaiser PermanentePrimary ORCID profile (0000-0002-0276-4456 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Jun ShaniD1 paper · Chinese Academy of Sciences

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Caroline Gar-Ling TaiiD· 1 shared Catherine A. SchaeferiD· 1 shared Chun ChaoiD· 1 shared Clinton L. CarioiD· 1 shared David S. Aaronson· 1 shared Dilrini K. Ranatunga· 1 shared Eric JorgensoniD· 1 shared Eunice Wan· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Caroline Gar-Ling TaiORCID

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1 paper

Recent·Most cited

Association Study of Over 200,000 Subjects Detects Novel Rare Variants, Functional Elements, and Polygenic Architecture of Prostate Cancer Susceptibility

Nima C. Emami, Taylor B. Cavazos, Sara R. Rashkin, Clinton L. Cario, Rebecca E. Graff, Caroline Gar-Ling Tai, Joel Mefford, Linda Kachuri, Eunice Wan, Simon Wong, David S. Aaronson, Joseph C. Presti, Laurel A. Habel, Jun Shan, Dilrini K. Ranatunga, , John S. Witte

This study identifies six novel genetic loci, including two rare variants, and shows that a polygenic risk score strongly predicts prostate cancer risk.

Cancer Research · Dec 8, 2020Peer-reviewedGenomics