Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Incorporation of Epstein–Barr viral variation implicates significance of Latent Membrane Protein 1 in survival prediction and prognostic subgrouping in Burkitt lymphoma.

Published in International Journal of Cancer, 2025

Recommended citation: Kim Jr, I. E., Oduor, C., Stamp, J., Luftig, M. A., Moormann, A. M., Crawford, L., & Bailey, J. A. Incorporation of Epstein–Barr viral variation implicates significance of Latent Membrane Protein 1 in survival prediction and prognostic subgrouping in Burkitt lymphoma. International Journal of Cancer.
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Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies.

Published in bioRxiv, 2025

Recommended citation: J. Stamp, S. Pattillo Smith, D. Weinreich, L. Crawford (2025). Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies. biorxiv; doi: 10.1101/2025.01.11.632557
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Considerations in the search for epistasis.

Published in Genome Biology, 2024

Recommended citation: Balvert, M., Cooper-Knock, J., Stamp, J. et al. Considerations in the search for epistasis. Genome Biol 25, 296 (2024). https://doi.org/10.1186/s13059-024-03427-z
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Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections.

Published in PLOS Computational Biology, 2024

Recommended citation: Li, K., Chaguza, C., Stamp, J., Chew, Y. T., Chen, N. F., Ferguson, D., ... & Grubaugh, N. D. (2024). Ge-nome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections. PLOS Computational Biology, 20(9), e1012469.
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Discovering non-additive heritability using additive GWAS summary statistics.

Published in eLife, 2024

Recommended citation: Samuel Pattillo Smith, Gregory Darnell, Dana Udwin, Julian Stamp, Arbel Harpak, Sohini Ramachandran, Lorin Crawford (2024) Discovering non-additive heritability using additive GWAS summary statistics eLife 13:e90459
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Leveraging the Genetic Correlation between Traits Improves the Detection of Epistasis in Genome-wide Association Studies.

Published in G3, 2023

Recommended citation: J. Stamp, A. DenAdel, D. Weinreich, L. Crawford (2023). Leveraging the Genetic Correlation between Traits Improves the Detection of Epistasis in Genome-wide Association Studies. G3; doi: 10.1093/g3journal/jkad118
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Continuous nonenzymatic cross-replication of DNA strands with in situ activated DNA oligonucleotides.

Published in Chemical Science, 2019

Recommended citation: Edeleva, E., Salditt, A., Stamp, J., Schwintek, P., Boekhoven, J., & Braun, D. (2019). Continuous nonenzymatic cross-replication of DNA strands with in situ activated DNA oligonucleotides. Chemical science, 10(22), 5807-5814.
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Julian Stamp

Publications

Journal Articles

Incorporation of Epstein–Barr viral variation implicates significance of Latent Membrane Protein 1 in survival prediction and prognostic subgrouping in Burkitt lymphoma.

Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies.

Considerations in the search for epistasis.

Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections.

Discovering non-additive heritability using additive GWAS summary statistics.

Leveraging the Genetic Correlation between Traits Improves the Detection of Epistasis in Genome-wide Association Studies.

Continuous nonenzymatic cross-replication of DNA strands with in situ activated DNA oligonucleotides.

Software

cphMAPIT: Cox Proportional Hazards Marginal Epistasis Test.

smer: Sparse Marginal Epistasis Test.

mvMAPIT: Multivariate Genome Wide Marginal Epistasis Test.