Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank

Table 2 Associations of polygenic risk score and ideal cardiovascular health metrics with risk of incident heart failure in CKB and UKB

	Cases/1000 PYs	HR (95% CI)^a	P trend^b
CKB
Genetic risk (per risk allele)^c		1.19 (1.07, 1.32)	0.001
Low (n = 40,766)	1.35	1.00
Intermediate (n = 23,457)	1.35	1.03 (0.90, 1.17)
High (n = 31,791)	1.53	1.15 (1.02, 1.29)
ICVHMs (per point)^d		0.85 (0.81, 0.90)	<0.001
Unfavorable (n = 2329)	2.68	1.00
Intermediate (n = 67,218)	1.67	0.76 (0.59, 0.99)
Favorable (n = 26,467)	0.69	0.55 (0.41, 0.74)
UKB
Genetic risk (per risk allele)		1.07 (1.03, 1.11)	<0.001
Low (n = 119,907)	1.02	1.00
Intermediate (n = 117,168)	1.11	1.08 (0.99, 1.18)
High (n = 98,707)	1.16	1.16 (1.06, 1.27)
ICVHMs (per point)		0.80 (0.77, 0.82)	<0.001
Unfavorable (n = 14,494)	2.60	1.00
Intermediate (n = 242,177)	1.15	0.48 (0.43, 0.54)
Favorable (n = 79,111)	0.64	0.34 (0.29, 0.39)

^aCox proportional hazard regression in CKB adjusted for sex, education, marital status, and family histories of heart attack or stroke at baseline and stratified jointly by study area and age at baseline in the 5-year interval. Cox proportional hazard regression in UKB adjusted for sex, education, marital status, and socioeconomic status and first 20 principal components of ancestry and stratified jointly by age at baseline in the 5-year interval. HR, hazard ratio; CI, confidence interval
^bP value for trend calculated treating the three scores as continuous variables
^cGenetic risk categories were defined according to a weighted polygenic risk score as low (lowest tertile), intermediate (intermediate tertile), and high (highest tertile)
^dICVHMs, ideal cardiovascular health metrics. The categories defined according to ideal cardiovascular health metrics as favorable (6 to 8), intermediate (3 to 5), and unfavorable (0 to 2)

ISSN: 1741-7015