Author

Jeremy Petch

University of TorontoORCID 0000-0003-1614-1046Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Assay:proteomics· 1

Frequent Co-Authors

Guillaume ParéiD· 2 shared Michael ChongiD· 2 shared Nicolas PerrotiD· 2 shared Walter Nelson· 2 shared Albert TenesaiD· 1 shared Alex S. F. DoneyiD· 1 shared Ana Villaplana-VelascoiD· 1 shared Conor S. JudgeiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Guillaume ParéORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJul 13, 2024

Proteome-wide Mendelian randomization study implicates inflammaging biomarkers in retinal vasculature, cardiometabolic diseases and longevity

Ana Villaplana-Velasco, Nicolas Perrot, Yu Hang…·Marie Pigeyre

DOI 10.1101/2024.07.13.24310153

humanproteomics

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintApr 24, 2021

A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets

Mohammad Daud Khan, Matteo Di Scipio, Conor S. Judge…·Guillaume Paré

This paper introduces MonsterLM, a method for estimating gene-by-environment interactions on large datasets, finding significant interaction variance and improved polygenic score prediction.

DOI 10.1101/2021.04.24.21255884

humanGWAS summary statistics

𝕏 PostBluesky