Author

Swapan K. Das

Wake Forest University Health SciencesORCID 0000-0002-2197-8855Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:bulk RNA-seq· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Organism:rat· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Adebowale AdeyemoiD· 2 shared Ann L. Craddock· 2 shared Brian E. CadeiD· 2 shared Chien-Hsiun CheniD· 2 shared Fiona BraggiD· 2 shared Gregory A. Hawkins· 2 shared Gregory R. KeeleiD· 2 shared Guanjie CheniD· 2 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adebowale AdeyemoORCID

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Author profile →

4 papers

Recent·Most cited

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

Alicia Huerta‐Chagoya, Joohyun Kim, Ravi Mandla, Yingchang Lu, Suzuki Ken, Lauren E. Petty, Hong Kiat Ng, Jaewon Choi, Simon Lee, Madhusmita Rout, Kuang Lin, Katherine Taylor, Carlos Alberto Aguilar-Salinas, Lourdes García‐García, Clicerio González‐Villalpando, , Xiuqing Guo

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

The Lancet Diabetes & Endocrinology · Apr 27, 2026Peer-reviewedGenetic & Genomic Medicine

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, Henry J. Taylor, Xianyong Yin, Kim Lorenz, Ravi Mandla, Alicia Huerta-Chagoya, Nigel W. Rayner, Ozvan Bocher, S. V. Arruda Ana Luiza de, Kyuto Sonehara, Shinichi Namba, Simon S. K. Lee, Michael H. Preuss, , 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.

Yearbook of pediatric endocrinology · Sep 8, 2023Peer-reviewedGenetic & Genomic Medicine

Genetic mapping of multiple metabolic traits identifies novel genes for adiposity, lipids and insulin secretory capacity in outbred rats

Thu Hong Le, Wesley L. Crouse, Gregory R. Keele, Katie Holl, Osborne Seshie, Michael Tschannen, Ann L. Craddock, Swapan K. Das, Alexandria Szalanczy, Bailey McDonald, Michael N. Grzybowski, Jason Klotz, Neeraj Sharma, Aron M. Geurts, Chia-Chi Chuang Key, , Leah C. Solberg Woods

Diabetes · Oct 11, 2022Peer-reviewedGenetics

Transcriptome-wide Analyses of Adipose Tissue in Outbred Rats Reveal Genetic Regulatory Mechanisms Relevant for Human Obesity

Wesley L. Crouse, Swapan K. Das, Thu Hong Le, Gregory R. Keele, Katie Holl, Osborne Seshie, Ann L. Craddock, Neeraj Sharma, Mary E. Comeau, Carl D. Langefeld, Gregory A. Hawkins, Richard Mott, William S. J. Valdar, Leah C. Solberg Woods

The paper identifies 554 consensus genes in outbred rats and humans associated with body weight and BMI, revealing shared genetic regulatory mechanisms relevant for obesity.

Physiological Genomics · Apr 25, 2022Peer-reviewedGenomics