Author

Linda S. Adair

University of North Carolina at Chapel HillORCID 0000-0002-3670-8073Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 3 Genetics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 4 Organism:human· 4 Approach:statistical model· 4 Research Focus:GWAS / association mapping· 3 Research Focus:fine-mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Chien-Hsiun CheniD· 4 shared Fiona BraggiD· 4 shared Hyeok Sun Choi· 4 shared Lauren E. PettyiD· 4 shared Li-Ching ChangiD· 4 shared Miao-Li Chee· 4 shared Xiuqing GuoiD· 4 shared Young Jin KimiD· 4 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersGenetic & Genomic Medicine

Chien-Hsiun ChenORCID

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4 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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Genetic & Genomic MedicineDiscovery Research Portal (University of Dundee)Peer-reviewedJan 1, 2022

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Anubha Mahajan, Cassandra Nichole Spracklen, Weihua Zhang…·Mary Cushman

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

20 citations

humanGWAS summary statistics

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GeneticsNaturePeer-reviewedMay 6, 2020

Identification of type 2 diabetes loci in 433,540 East Asian individuals

Cassandra Nichole Spracklen, Momoko Horikoshi, Young Jin Kim…·Kyong Soo Park

This paper identifies 56 new type 2 diabetes loci in 433,540 East Asian individuals through a meta-analysis of GWAS data.

442 citationstop 1%

humanGWAS summary statistics

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