Author

Yi‐Lun Lee

Taiwan AI LabsORCID 0000-0002-2239-3250Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Chien‐Yu CheniD· 2 shared Ko-Han LeeiD· 2 shared Carlo MajiD· 1 shared Dheeraj Reddy BobbiliiD· 1 shared Emadeldin HassaniniD· 1 shared Geng-Zhi Fann· 1 shared Hsueh‐Fen JuaniD· 1 shared Huai‐Kuang TsaiiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersGenetic & Genomic Medicine

Chien‐Yu ChenORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Trans-ancestry polygenic models for the prediction of LDL blood levels: An analysis of the UK Biobank and Taiwan Biobank

Emadeldin Hassanin, Ko-Han Lee, Tzung‐Chien Hsieh, Rana S. Aldisi, Yi‐Lun Lee, Dheeraj Reddy Bobbili, Peter Michael Krawitz, Patrick May, Chien‐Yu Chen, Carlo Maj

This paper compares ancestry-specific and multi-ancestry polygenic risk scores for LDL prediction in East Asian populations using UK Biobank and Taiwan Biobank data, finding that multi-ancestry models are more generalizable.

medRxiv · Aug 3, 2023 · PreprintGenetic & Genomic Medicine

PGSbuilder: An end-to-end platform for human genome association analysis and polygenic risk score predictions

Ko-Han Lee, Yi‐Lun Lee, Tsung-Ting Hsieh, Yu‐Chuan Chang, Su-Shia Wang, Geng-Zhi Fann, Wei‐Che Lin, Hung-Ching Chang, Ting-Fu Chen, Peng-Husan Li, Ya-Ling Kuo, Pei‐Lung Chen, Hsueh‐Fen Juan, Huai‐Kuang Tsai, Chien‐Yu Chen, Jia‐Hsin Huang

PGSbuilder provides a web platform for GWAS and PRS analysis, enabling medical professionals to assess genetic risk using variant annotations and multiple PRS methods.

bioRxiv · Apr 12, 2023 · PreprintBioinformatics