Author

H. Janaka de Silva

The Lundquist InstituteORCID 0000-0001-6631-5812Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Adebowale AdeyemoiD· 2 shared Brian E. CadeiD· 2 shared Chien-Hsiun CheniD· 2 shared Fiona BraggiD· 2 shared Guanjie CheniD· 2 shared Hyeok Sun Choi· 2 shared Jennifer A. BrodyiD· 2 shared Kuang Lin· 2 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adebowale AdeyemoORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineThe Lancet Diabetes & EndocrinologyPeer-reviewedApr 27, 2026

Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries.

Alicia Huerta‐Chagoya, Joohyun Kim, Ravi Mandla…·Xiuqing Guo

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

11 citationstop 1%

humanGWAS summary statistics

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Genetic & Genomic MedicineYearbook of pediatric endocrinologyPeer-reviewedSep 8, 2023

Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

Suzuki Ken, Konstantinos Hatzikotoulas, Lorraine Southam…·H. Janaka de Silva

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

31 citationstop 3%

humanGWAS summary statistics

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