Author

Debra Silverman

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

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

Adeline SeowiD· 1 shared Alan R. SandersiD· 1 shared Alison P. KleiniD· 1 shared Baosen ZhouiD· 1 shared Brian Wolpin· 1 shared Chao Agnes HsiungiD· 1 shared Donghui LiiD· 1 shared Dongxin LiniD· 1 shared

Activity by Year

2016-2016 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Adeline SeowORCID

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1 paper

Recent·Most cited

Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

Jianxin Shi, Ju-Hyun Park, Jubao Duan, Sonja Berndt, Winton Moy, Kai Yu, Lei Song, William Wheeler, Xing Hua, Debra Silverman, Montserrat Garcia-Closas, Chao Agnes Hsiung, Jonine D Figueroa, Victoria K Cortessis, Núria Malats, , Nilanjan Chatterjee

This paper improves polygenic risk scores by applying winners curse correction and variable thresholds to GWAS summary data, enhancing prediction accuracy for some diseases.

bioRxiv · Jan 10, 2016 · PreprintGenetics