Litcius/Paper detail

Derivation and Validation of Genome‐Wide Polygenic Score for Ischemic Heart Failure

Ishan Paranjpe, Noah L. Tsao, Jessica K. De Freitas, Renae Judy, Kumardeep Chaudhary, Iain S. Forrest, Suraj K. Jaladanki, Manish Paranjpe, Pranav Sharma, CBIPM Genomics Team, Benjamin S. Glicksberg, Jagat Narula, Ron Do, Scott M. Damrauer, Girish N. Nadkarni

2021Journal of the American Heart Association11 citationsDOIOpen Access PDF

Abstract

Background Despite advances in cardiovascular disease and risk factor management, mortality from ischemic heart failure (HF) in patients with coronary artery disease (CAD) remains high. Given the partial role of genetics in HF and lack of reliable risk stratification tools, we developed and validated a polygenic risk score for HF in patients with CAD, which we term HF‐PRS. Methods and Results Using summary statistics from a recent genome‐wide association study for HF, we developed candidate PRSs in the Mount Sinai Bio Me CAD patient cohort (N=6274) by using the pruning and thresholding method and LDPred. We validated the best score in the Penn Medicine BioBank (N=7250) and performed a subgroup analysis in a high‐risk cohort who had undergone coronary catheterization. We observed a significant association between HF‐PRS score and ischemic HF even after adjusting for evidence of obstructive CAD in patients of European ancestry in both Bio Me (odds ratio [OR], 1.14 per SD; 95% CI, 1.05–1.24; P =0.003) and Penn Medicine BioBank (OR, 1.07 per SD; 95% CI, 1.01–1.13; P =0.016). In European patients with CAD in Penn Medicine BioBank who had undergone coronary catheterization, individuals in the top 10th percentile of PRS had a 2‐fold increased odds of ischemic HF (OR, 2.0; 95% CI, 1.1–3.7; P =0.02) compared with the bottom 10th percentile. Conclusions A PRS for HF enables risk stratification in patients with CAD. Future prospective studies aimed at demonstrating clinical utility are warranted for adoption in the patient setting.

Topics & Concepts

MedicineBiobankInternal medicineCoronary artery diseaseFramingham Risk ScoreCardiologyCohortOdds ratioRevascularizationDiseaseProspective cohort studyCohort studyHeart failurePercentileRisk stratificationMaceMEDLINEPrecision medicineRisk assessmentLogistic regressionPolygenic risk scoreRisk factorMyocardial infarctionPredictive value of testsSeverity of illnessPopulationGenetic Associations and EpidemiologyHeart Failure Treatment and ManagementKruppel-like factors research