Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
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and set future: false
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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.
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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. (R Package)
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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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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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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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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smer: Sparse Marginal Epistasis Test.
Published in GitHub, CRAN, 2025
Recommended citation: J. Stamp, L. Crawford (2025). smer: Sparse Marginal Epistasis Test. https://github.com/lcrawlab/sme. (R Package)
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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cphMAPIT: Cox Proportional Hazards Marginal Epistasis Test.
Published in GitHub (expected), 2025
Recommended citation: J. Stamp, L. Crawford (2025 expected). cphMAPIT: Cox Proportional Hazards Marginal Epistasis Test. https://github.com/jdstamp/cphMAPIT. (R Package)
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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software
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.