Author

James C. Engert

McGill UniversityORCID 0000-0001-8411-4790Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Research Focus:differential expression· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Hertzel C. GersteiniD· 2 shared Sonia Savitri AnandiD· 2 shared Aaron LeongiD· 1 shared Adebowale AdeyemoiD· 1 shared Akram Alyass· 1 shared Alain Gerald BertoniiD· 1 shared Alicia Huerta‐ChagoyaiD· 1 shared Alisa Knodle ManningiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Hertzel C. GersteinORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineThe Lancet Diabetes & EndocrinologyPeer-reviewedApr 27, 2026

Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries.

Alicia Huerta‐Chagoya, Joohyun Kim, Ravi Mandla…·Xiuqing Guo

This paper develops and validates multi-ancestry polygenic risk scores for type 2 diabetes prediction and complications across diverse populations.

11 citationstop 1%

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsbioRxivPreprintMar 1, 2019

Genetic inhibition of PCSK9, atherogenic lipoprotein concentrations, and calcific aortic valve stenosis

Nicolas Perrot, Donato Moschetta, S. Matthijs Boekholdt…·Benoît J. Arsenault

This study shows genetic inhibition of PCSK9 lowers lipoprotein levels and reduces risk of CAD and CAVS, with PCSK9 present in calcified aortic valves and induced by oxidative stress.

DOI 10.1101/560458

humanstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintNov 29, 2017

Penetrance of polygenic obesity susceptibility loci across the body mass index distribution: an update on scaling effects.

Arkan Abadi, Akram Alyass, Sébastien Robiou-du-Pont…·David Meyre

The paper examines how the effects of BMI-associated SNPs vary across BMI percentiles and finds that 9 out of 37 SNPs show increasing effects with higher BMI.

2 citations

humanGWAS summary statistics

𝕏 PostBluesky