Author

Young‐Chul Chung

Digital China Health (China)ORCID 0000-0001-9491-1822Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Agung A. A. A. Kusumawardhani· 1 shared Akira SawaiD· 1 shared Akitoyo HishimotoiD· 1 shared Alice Zheng· 1 shared Alicia R. MartiniD· 1 shared Byung Dae LeeiD· 1 shared Chia‐Yen CheniD· 1 shared Dieter B. WildenaueriD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Agung A. A. A. Kusumawardhani

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1 paper

Recent·Most cited

Genetic & Genomic MedicineNature GeneticsPeer-reviewedMay 1, 2022

Improving Polygenic Prediction in Ancestrally Diverse Populations

Yunfeng Ruan, Kuang Lin, Yen‐Chen Anne Feng…·Tian Ge

This paper introduces PRS-CSx, a method that improves polygenic prediction across ancestrally diverse populations by integrating GWAS summary statistics and sharing genetic effects.

706 citationstop 1%

GWAS summary statisticsstatistical model

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