Author

Prosenjit Kundu

Johns Hopkins UniversityORCID 0000-0002-4732-0314Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Nilanjan ChatterjeeiD· 2 shared Allison MeisneriD· 1 shared Candelaria VergaraiD· 1 shared Chloe L. ThioiD· 1 shared David L. ThomasiD· 1 shared Dylan DucheniD· 1 shared Genevieve L. WojcikiD· 1 shared Priya DuggaliD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Nilanjan ChatterjeeORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 14, 2022

Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common controls

Dylan Duchen, Candelaria Vergara, Chloe L. Thio…·Priya Duggal

This study shows that using population-based common controls in GWAS of infectious diseases can lead to biased effect estimates and spurious associations due to unaccounted pathogen exposure.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsAmerican Journal of EpidemiologyPeer-reviewedAug 1, 2019

Case-only analysis of gene-environment interactions using polygenic risk scores

Allison Meisner, Prosenjit Kundu, Nilanjan Chatterjee

The paper proposes a case-only method to analyze gene-environment interactions using polygenic risk scores in case-control studies, showing efficiency gains over logistic regression.

30 citations

humanGWAS summary statistics

𝕏 PostBluesky