Author

Jerald F. Lawless

University of WaterlooORCID 0000-0002-3192-0470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Andrew D. PatersoniD· 2 shared Celia M.T. GreenwoodiD· 1 shared France GagnoniD· 1 shared Jennifer D. BrooksiD· 1 shared Lei Sun· 1 shared Lei SuniD· 1 shared Lisa J. StrugiD· 1 shared Rayjean J. HungiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenetics

Andrew D. PatersonORCID

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2 papers

Recent·Most cited

Detecting latent gene-environment interaction when analyzing binary traits

Ziang Zhang, Jerald F. Lawless, Andrew D. Paterson, Lei Sun

This paper introduces a method to indirectly test gene-environment interactions for binary traits by leveraging non-additive genetic effects and applies it to the UK Biobank dataset.

bioRxiv · Jul 10, 2024 · PreprintGenetics

On Statistical Power for Case-Control Host Genomic Studies of COVID-19

Yu‐Chung Lin, Jennifer D. Brooks, Shelley B. Bull, France Gagnon, Celia M.T. Greenwood, Rayjean J. Hung, Jerald F. Lawless, Andrew D. Paterson, Lei Sun, Lisa J. Strug

This paper assesses the statistical power of case-control genomic studies for identifying host genetic factors associated with COVID-19 susceptibility and severity using simulations and current epidemiological estimates.

Genome Medicine · Dec 1, 2020Peer-reviewedGenetic & Genomic Medicine