Author

Shylaja Srinivasan

University of California, San FranciscoORCID 0000-0002-8049-6370Unclaimed 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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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Alisa Knodle ManningiD· 2 shared Jasmin DiversiD· 2 shared Rose Gubitosi‐KlugiD· 2 shared Santica M. MarcovinaiD· 2 shared Aaron J. DeutschiD· 1 shared Aaron LeongiD· 1 shared Alicia Huerta‐ChagoyaiD· 1 shared Alicia R. MartiniD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alisa Knodle ManningORCID

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2 papers

Recent·Most cited

Summary statistics from large-scale gene-environment interaction studies for re-analysis and meta-analysis

Duy T. Pham, Kenneth E. Westerman, Cong Pan, Ling Chen, Shylaja Srinivasan, ELVIRA M. ISGANAITIS, Mary Ellen Vajravelu, Fida F Bacha, Steven D. Chernausek, Rose Gubitosi‐Klug, Jasmin Divers, Catherine Pihoker, Santica M. Marcovina, Alisa Knodle Manning, Han Chen

The paper introduces two tools, REGEM and METAGEM, to analyze gene-environment interaction summary statistics from GWIS studies, enabling efficient re-analysis and meta-analysis.

Bioinformatics · Nov 30, 2023Peer-reviewedGenetic & Genomic Medicine

The power of TOPMed imputation for the discovery of Latino enriched rare variants associated with type 2 diabetes

Alicia Huerta‐Chagoya, Philip H. Schroeder, Ravi Mandla, Aaron J. Deutsch, Wanying Zhu, Lauren E. Petty, Xiaoyan Yi, Joanne B. Cole, Miriam S. Udler, Peter Dornbos, Bianca Porneala, DANIEL A. DICORPO, Ching‐Ti Liu, Josephine H. Li, Łukasz Szczerbiński, , Josep Maria Mercader

The paper demonstrates that TOPMed imputation improves the identification of rare variants associated with type 2 diabetes in Latino populations, leading to novel associations and better polygenic scores.

Diabetologia · May 6, 2023Peer-reviewedGenetic & Genomic Medicine