Clinical statements (AHA, ESC) have suggested that PRS may be most useful as a risk-enhancing factor for those at intermediate risk. We used PRS to reclassify individuals at intermediate risk by QRISK3 and showed improved sensitivity and fairness benefits (particularly for age & sex).

We evaluated PRS in two contexts, as a standalone risk predictor and as a risk-enhancing factor. Given the known performance differences across ancestries, we were surprised to find that the fairness of PRS predictions across ethnicities was equal to or lower other CVD risk factors when used alone.

Interested in methods for updating risk prediction models (time-to-event) with new features? Check out this new paper with Will Underwood & co introducing the CARE method, and an application where we augment SCORE2 with PGS & IMD: arxiv.org/abs/2506.23870.

@hasanga.bsky.social from @mikeinouye.bsky.social / @cambridgebaker.bsky.social @cambridge-ceu.bsky.social sharing new results for local-ancestry effects on CAD risk loci. #ESHG2025

Great fun sharing the @pgscatalog.bsky.social at the pre- #ESHG25 course on open-source genomics resources. Thanks to Juliana Cerqueira and Inga Prokopenko for the invite!

Looking forward to the rest of the conference!

Congratulations @clairecoffey.bsky.social on passing your PhD viva (it's not everyday your first PhD student graduates)! It's been a pleasure to supervise your work applying algorithmic fairness techniques to risk prediction models and polygenic scores with Angela Wood & @mikeinouye.bsky.social.