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portfolio
Multivariate MArginal ePIstasis Test (mvMAPIT)
Multi-outcome genome-wide epistasis detection method and R package. 
DevOps Automation
Work experience as Software Consultant. 
Origins of Life
Master’s thesis research. 
publications
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. https://doi.org/10.1039/C9SC00770A
mvMAPIT: Multivariate Genome Wide Marginal Epistasis Test.
Published in GitHub, CRAN, 2023
Recommended citation: J. Stamp, L. Crawford (2023). mvMAPIT: Multivariate Genome Wide Marginal Epistasis Test. https://github.com/lcrawlab/mvMAPIT, https://lcrawlab.github.io/mvMAPIT, https://cran.r-project.org/package=mvMAPIT. (R Package) https://lcrawlab.github.io/mvMAPIT/
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 https://doi.org/10.1093/g3journal/jkad118
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 https://doi.org/10.7554/eLife.90459
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. https://doi.org/10.1371/journal.pcbi.1012469
Incorporation of Epstein-Barr viral variation implicates significance of LMP1 in survival prediction and prognostic subgrouping in Burkitt lymphoma.
Published in biorXiv, 2024
Recommended citation: Incorporation of Epstein-Barr viral variation implicates significance of LMP1 in survival prediction and prognostic subgrouping in Burkitt lymphoma Isaac Elijah Kim Jr., Cliff Oduor, Julian Stamp, Micah A Luftig, Ann M Moormann, Lorin Crawford, Jeffrey Bailey bioRxiv 2024.05.03.592343; doi: https://doi.org/10.1101/2024.05.03.592343 https://doi.org/10.1101/2024.05.03.592343
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 https://doi.org/10.1186/s13059-024-03427-z
talks
Partitioning the non-additive variation of complex traits.
Published:
Download the slides as PDF.
mvMAPIT: Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.
Published:
Download the slides as PDF.