Author

Vidul Ayakulangara Panickan

Harvard UniversityORCID 0000-0003-0616-0403Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1

Frequent Co-Authors

Anurag VermaiD· 2 shared Daniel C. PosneriD· 2 shared J. Michael GazianoiD· 2 shared Jennifer E. HuffmaniD· 2 shared Katherine P. LiaoiD· 2 shared Kelly ChoiD· 2 shared Lauren CostaiD· 2 shared Rahul Sangar· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Anurag VermaORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintApr 23, 2026

Multi-ancestral GWAS with the VA Million Veteran Program enables functional interpretation of rheumatoid arthritis alleles

Saori Sakaue, Doris Yang, Harrison Zhang…·Katherine P. Liao

This study conducts a multi-ancestry GWAS of rheumatoid arthritis using the VA Million Veteran Program, identifying 152 genome-wide significant loci and improving fine-mapping resolution.

DOI 10.64898/2026.04.22.26351423

humanGWAS summary statistics

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Genetic & Genomic MedicineSciencePeer-reviewedJul 18, 2024

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Diversity and Scale: Genetic Architecture of 2,068 Traits in the VA Million Veteran Program

Anurag Verma, Jennifer E. Huffman, Alex A Rodriguez…·Katherine P. Liao

Population-stratified GWAS of 2,068 traits in 635,969 Million Veteran Program participants, 29% genetically non-European, yields 98,485 associations and 57,601 fine-mapped signals with largely shared cross-population architecture.

462 citationstop 1%

humanGWAS summary statistics

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