Author

Peter E. Chen

McGill UniversityORCID 0000-0001-6933-367XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

B. Jesse ShapiroiD· 2 shared Bradley PickeringiD· 1 shared Carmen Lía MuralliD· 1 shared Raphaël PoujoliD· 1 shared Sana NaderiiD· 1 shared Selena M. SaganiD· 1 shared Susanne A. KraemeriD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

B. Jesse ShapiroORCID

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2 papers

Recent·Most cited

GenomicseLifePeer-reviewedMar 21, 2023

Zooanthroponotic transmission of SARS-CoV-2 and host-specific viral mutations revealed by genome-wide phylogenetic analysis

Sana Naderi, Peter E. Chen, Carmen Lía Murall…·B. Jesse Shapiro

This study uses phylogenetic analysis and genome-wide association studies to investigate SARS-CoV-2 transmission between humans and animals, identifying species-specific mutations.

25 citationstop 4%

humanmouse

𝕏 PostBluesky

GenomicsbioRxivPreprintJun 30, 2021

Classic genome-wide association methods are unlikely to identify causal variants in strongly clonal microbial populations.

Peter E. Chen, B. Jesse Shapiro

This paper shows that classical GWAS methods fail to identify causal variants in strongly clonal microbial populations due to linkage disequilibrium, and introduces a new method called POUTINE to address this issue.

9 citations

bacteria (other)whole-genome sequencing

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