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. Author manuscript; available in PMC: 2024 Aug 1.
Published in final edited form as: Circ Genom Precis Med. 2023 Jun 6;16(4):340–349. doi: 10.1161/CIRCGEN.122.003808

Table 1.

Characteristics of the UK Biobank cohort participants.

Variable GWAS discovery set
(N=39,986)
PRS testing set
(N=424,411)
Enrollment age 55.6 (7.6) 57.1 (8.1)
ECG age 64.0 (7.7) Not applicable
Female 20,809 (52.0%) 232,654 (54.8%)
Race (White British) 38,617 (96.6%) 370,121 (87.2%)
Height (cm) 169.1 (9.2) 168.3 (9.3)
Weight (kg) 76.0 (15.2) 78.0 (16.0)
Systolic blood pressure 138.3 (18.6) 138.1 (18.7)
Diastolic blood pressure 79.1 (10.1) 82.4 (10.2)
Smoking (current) 1,446 (3.6%) 46,433 (11.0%)
Antihypertensive medication use (Yes) 4,275 (10.7%) 88,887 (18.6%)
Diabetes (Yes) 1,546 (3.9%) 11,089 (2.6%)
Heart failure (Yes) 186 (0.5%) 1,701 (0.4%)
Myocardial infarction (Yes) 916 (2.3%) 9,657 (2.3%)

Clinical variables were ascertained at baselines. For the genome-wide association studies (GWAS) discovery set, baseline refers to the time of electrocardiogram (ECG) visit. For the polygenic risk scores (PRS) testing set, baseline refers to the time of study enrollment. Descriptive statistics of enrollment age, female, race, and history of diabetes, heart failure and myocardial infarction for the PRS testing set were calculated using the complete sample (N=424,411). Height, weight, systolic blood pressure and diastolic blood pressure were summarized in a subset with the data available (N=423,044). The sample size for participants who self-reported their smoking status and medication use were 423,919 and 477,644, respectively.