Author

Adeline Seow

National University of SingaporeORCID 0000-0001-5434-7673Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:polygenic risk· 2 Approach:statistical model· 2 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Baosen ZhouiD· 2 shared Dongxin LiniD· 2 shared Jianxin ShiiD· 2 shared Keitaro MatsuoiD· 2 shared Lei SongiD· 2 shared Neil E. CaporasoiD· 2 shared Yun-Chul HongiD· 2 shared Akiteru GotoiD· 1 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Baosen ZhouORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineJNCI Journal of the National Cancer InstitutePeer-reviewedSep 18, 2025

Stratifying Lung Adenocarcinoma Risk with Multi-ancestry Polygenic Risk Scores in East Asian Never-Smokers

Batel Blechter, Xiaoyu Wang, Juncheng Dai…·Ping Yang

The paper develops and validates multi-ancestry polygenic risk scores for LUAD in East Asian never-smokers, showing improved risk prediction compared to East Asian-only models.

4 citations

humanwhole-genome sequencing

𝕏 PostBluesky

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

𝕏 PostBluesky