Polygenic prediction of cardiorespiratory fitness: The HUNT Study.

Abstract

Background: Cardiorespiratory fitness (CRF) has a strong genetic component and low CRF is a major risk factor for cardiovascular morbidity and mortality. The purpose of this study was to develop and validate a polygenic score (PGS) for CRF (CRF_PGS) and assess its associations with cardiovascular disease (CVD) and all-cause mortality. We hypothesized that the CRF_PGS would demonstrate similar cardioprotective benefits as the CRF phenotype.

Methods: Effect estimates from a genome-wide association study on directly measured CRF in the Trøndelag Health Study (HUNT; n = 4 525) were used in a Bayesian regression framework to develop multiple PGSs in an independent cohort from the UK Biobank (n = 65 165). The top performing score was applied in the HUNT target cohort, excluding the discovery sample (n = 82 109).

Results: The PGS-CRF association varied considerably as a function of model fit and phenotypic accuracy. In the target population, we observed a difference in CRF of 1.55 [95% confidence interval: 1.26, 1.84] mL·kg^-1·min^-1 between the bottom and top decile of the CRF_PGS. Moreover, a high CRF_PGS demonstrated cardioprotective effects, with reduced risk for CVD, myocardial infarction, hypertension, and all-cause mortality. We also found that the CRF_PGS predisposed to lower risk of heart failure and hypertrophic cardiomyopathy in women.

Conclusion: A PGS for CRF derived from gold-standard phenotypes captures small, but potentially clinical meaningful variations in CRF, and is associated with reduced risk of cardiovascular morbidity and mortality. Heterogeneity in CRF phenotyping in large populations remains a challenge to PGS development and refinement.