In:
Hypertension, Ovid Technologies (Wolters Kluwer Health), Vol. 61, No. 5 ( 2013-05), p. 987-994
Kurzfassung:
Recent genome-wide association studies have identified genetic variants associated with blood pressure (BP). We investigated whether genetic risk scores (GRSs) constructed of these variants would predict incident cardiovascular disease (CVD) events. We genotyped 32 common single nucleotide polymorphisms in several Finnish cohorts, with up to 32 669 individuals after exclusion of prevalent CVD cases. The median follow-up was 9.8 years, during which 2295 incident CVD events occurred. We created GRSs separately for systolic BP and diastolic BP by multiplying the risk allele count of each single nucleotide polymorphism by the effect size estimated in published genome-wide association studies. We performed Cox regression analyses with and without adjustment for clinical factors, including BP at baseline in each cohort. The results were combined by inverse variance–weighted fixed-effects meta-analysis. The GRSs were strongly associated with systolic BP and diastolic BP, and baseline hypertension (all P 〈 10 −62 ). Hazard ratios comparing the highest quintiles of systolic BP and diastolic BP GRSs with the lowest quintiles after adjustment for age, age squared, and sex were 1.25 (1.07–1.46; P =0.006) and 1.23 (1.05–1.43; P =0.01), respectively, for incident coronary heart disease; 1.24 (1.01–1.53; P =0.04) and 1.35 (1.09–1.66; P =0.005), respectively, for incident stroke; and 1.23 (1.08–1.40; P =2×10 −6 ) and 1.26 (1.11–1.44; P =5×10 −4 ), respectively, for composite CVD. In conclusion, BP findings from genome-wide association studies are strongly replicated. GRSs comprising bona fide BP-single nucleotide polymorphisms predicted CVD risk, consistent with a lifelong effect on BP of these variants collectively.
Materialart:
Online-Ressource
ISSN:
0194-911X
,
1524-4563
DOI:
10.1161/HYPERTENSIONAHA.111.00649
Sprache:
Englisch
Verlag:
Ovid Technologies (Wolters Kluwer Health)
Publikationsdatum:
2013
ZDB Id:
2094210-2
