Author

Ju-Hyun Park

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Genetics· 1

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

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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 Debra Silverman· 1 shared Donghui LiiD· 1 shared

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2016-2016 · peak 1/yr

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1 shared paperGenetics

Adeline SeowORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintJan 10, 2016

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…·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.

DOI 10.1101/034082

GWAS summary statisticsstatistical model

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