Author

Brent A. Coull

Harvard UniversityORCID 0000-0002-1808-4156Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ana V. Diez-Roux· 1 shared Andrew J. SimpkiniD· 1 shared Caroline Laura ReltoniD· 1 shared Christian TestaiD· 1 shared Christoph LangeiD· 1 shared George Davey SmithiD· 1 shared Immaculata De VivoiD· 1 shared Ingo RuczinskiiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Ana V. Diez-Roux

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2 papers

Recent·Most cited

An epigenome-wide analysis of DNA methylation, racialized and economic inequities, and air pollution

Sarah Watkins, Christian Testa, Andrew J. Simpkin, George Davey Smith, Brent A. Coull, Immaculata De Vivo, Kate M. Tilling, Pamela D. Waterman, Jarvis T. Chen, Ana V. Diez-Roux, Nancy Krieger, Matthew J Suderman, Caroline Laura Relton

This study investigates how DNA methylation (DNAm) links racial discrimination, economic adversity, and air pollution to health inequities using epigenome-wide association analyses.

Clinical Epigenetics · Nov 27, 2025Peer-reviewedBioinformatics

A nearly optimal sequential testing approach to permutation-based association testing

Julian Hecker, Ingo Ruczinski, Brent A. Coull, Christoph Lange

This paper describes a sequential testing method for permutation-based association testing in whole-genome sequencing that controls error rates and minimizes required permutations.

bioRxiv · Sep 18, 2017 · PreprintGenetics