Stay tuned here for upcoming updates to pgsc_calc (github.com/PGScatalog/p...), our tool for reproducible PGS calculation. Our next version aims to increase the scalability to WGS data in cloud trusted research environments (e.g. All of Us).

Wish we could've cited this highly relevant (and consistent) study, published nearly the same time: Psychological & emotional impacts of communicating breast cancer risk using multifactorial assessment with polygenic risk score: Findings from PERSPECTIVE I&I www.sciencedirect.com/science/arti...

Thank you to all colleagues involved in this project, supervised by Dr. S. Thériault. Thank you also to all scientists and participants involved in @cartagene.bsky.social, @clsa-elcv.bsky.social and at the Biobanque de l’Institut Universitaire de Cardiologie et de Pneumologie de Québec.

- CAD-PGS is associated with the extent of coronary artery damage observed (coronary angiography data).
- In this study, not all CV-PGS are associated with the severity of CAD; lipid-PGS are.

- Adding independent CV-PGS, in addition to a CAD-PGS, increases the performance of our models, with or without clinical risk factors (clinical interest +++)

Briefly:
- Studied PGSs are all associated with the prevalence of myocardial infarction, suitable for a direct application in Canadians (from European ancestry).
- CAD-PGS and CV-PGS are not/only weakly correlated. Using them in a multivariable model provides better predictive performance.

Excellent work led by Ursula Houessou from Dr. Sébastien Thériault Lab

Important work led by Jérôme Bourgault from Prof. Benoit Arsenault Team.