Back

Comparative Performance of Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease Subtypes in the All of Us Research Program

Smith, J. L.; Norland, K.; Hamed, M. E.; Yu, Y.; Na, J.; Dikilitas, O.; Schaid, D. J.; Kullo, I. J.

2024-11-05 genetic and genomic medicine
10.1101/2024.11.05.24316750 medRxiv
Show abstract

BackgroundPerformance and portability of contemporary polygenic risk scores (PRS) for atherosclerotic cardiovascular disease (ASCVD) phenotypes vary based on different methods, training data, and trait ascertainment. ObjectivesWe aimed to investigate performance and portability of contemporary PRS for ASCVD subtypes: coronary heart disease (CHD), abdominal aortic aneurysm (AAA), ischemic stroke (IS), and peripheral artery disease (PAD), using the All of Us Workbench which provides access to a large diverse cohort with phenotype and whole genome sequence data. We also developed and evaluated a multi-trait PRS for each subtype. MethodsPerformance of PRS for 4 ASCVD traits and related risk factors was compared across genetic ancestry groups in 245,388 All of Us participants. Genetic EUR, African (AFR), Admixed American (AMR), and remaining ancestry groups (combined as Other, OTH) were defined by All of Us based on principal components. PRS for CHD, IS, AAA, PAD, and multi-trait (combining PRS for the 4 traits as well as PRS for ASCVD risk factors) were assessed for portability across genetic ancestry groups using hazard ratios (HR) per SD increase. ResultsFor CHD, CHDPGS003725 performed the best (HR for 1 SD increase [95% CI]), across 4 genetic ancestry groups (EUR: 1.72[1.67-1.78], AFR: 1.24[1.18-1.31], AMR: 1.48[1.37-1.59], OTH: 1.65[1.52-1.79]). The best performing PRS for AAA was AAAPGS003972 (EUR: 1.68[1.59-1.78], AFR: 1.29[1.13-1.48], AMR: 1.30[1.06-1.60], OTH: 1.45[1.20-1.75]). The best performing IS PRS was ISPGS000039 in AFR (1.12[1.06-1.17]), AMR (1.11[1.04-1.19]), and OTH (1.23[1.09-1.38]), and ISPGS004939 in EUR (1.16[1.12-1.20]). For PAD, PADPGS004940 performed best in EUR (1.26[1.22-1.30]), AFR (1.11[1.05-1.18]), AMR (1.08[1.01-1.16]), and OTH (1.13[1.04-1.22]). Multi-trait PRS performed better than individual trait PRS for each ASCVD phenotype. Also, PRS derived from multi-ancestry cohorts performed better than those derived from single ancestry. ConclusionsPRS for ASCVD developed from multi-ancestry cohorts and multiple related traits performed best across ancestrally diverse and admixed individuals. PRS for CHD and AAA performed better than those for IS and PAD.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.