4.3 Article

Polygenic Risk Score to Identify Subclinical Coronary Heart Disease Risk in Young Adults

Journal

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCGEN.121.003341

Keywords

atherosclerosis; blood pressure; coronary artery; heart disease; risk factors

Funding

  1. American Heart Association [16FTF30130005, R01 GM130791, R01 HL140074R35, K12 HL133117, R35 GM131770, U01 HG8672, P50 GM115305]
  2. National Heart, Lung, and Blood Institute (NHLBI)
  3. Boston University [N01-HC-25195, HHSN268201500001I, 75N92019D00031]

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The study found that the polygenic risk scores can improve model discrimination for coronary atherosclerosis among young adults, but the improvements are smaller than those associated with modifiable risk factors.
Background: Polygenic risk scores (PRS) may enhance risk stratification for coronary heart disease among young adults. Whether a coronary heart disease PRS improves prediction beyond modifiable risk factors in this population is not known. Methods: Genotyped adults aged 18 to 35 years were selected from the CARDIA study (Coronary Artery Risk Development in Young Adults; n=1132) and FOS (Framingham Offspring Study; n=663). Systolic blood pressure, total and HDL (high-density lipoprotein) cholesterol, triglycerides, smoking, and waist circumference or body mass index were measured at the visit 1 exam of each study, and coronary artery calcium, a measure of coronary atherosclerosis, was assessed at year 15 (CARDIA) or year 30 (FOS). A previously validated PRS for coronary heart disease was computed for each subject. The C statistic and integrated discrimination improvement were used to compare improvements in prediction of elevated coronary artery calcium between models containing the PRS, risk factors, or both. Results: There were 62 (5%) and 93 (14%) participants with a coronary artery calcium score >20 (CARDIA) and >300 (FOS), respectively. At these thresholds, the C statistic changes of adding the PRS to a risk factor-based model were 0.015 (0.004-0.028) and 0.020 (0.001-0.039) in CARDIA and FOS, respectively. When adding risk factors to a PRS-based model, the respective changes were 0.070 (0.033-0.109) and 0.051 (0.017-0.079). The integrated discrimination improvement, when adding the PRS to a risk factor model, was 0.027 (-0.006 to 0.054) in CARDIA and 0.039 (0.0005-0.072) in FOS. Conclusions: Among young adults, a PRS improved model discrimination for coronary atherosclerosis, but improvements were smaller than those associated with modifiable risk factors.

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