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Nat Genet. 2017 Jan;49(1):54-64. doi: 10.1038/ng.3715. Epub 2016 Nov 14.

Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.

Author information

1
Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, USA.
2
Institute for Human Genetics, University of California at San Francisco, San Francisco, California, USA.
3
Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Baltimore, Maryland, USA.
4
Cardiology, Department of Specialties of Internal Medicine, University of Geneva, Geneva, Switzerland.
5
Kaiser Permanente Northern California Division of Research, Oakland, California, USA.

Abstract

Longitudinal electronic health records on 99,785 Genetic Epidemiology Research on Adult Health and Aging (GERA) cohort individuals provided 1,342,814 systolic and diastolic blood pressure measurements for a genome-wide association study on long-term average systolic, diastolic, and pulse pressure. We identified 39 new loci among 75 genome-wide significant loci (P ≤ 5 × 10-8), with most replicating in the combined International Consortium for Blood Pressure (ICBP; n = 69,396) and UK Biobank (UKB; n = 152,081) studies. Combining GERA with ICBP yielded 36 additional new loci, with most replicating in UKB. Combining all three studies (n = 321,262) yielded 241 additional genome-wide significant loci, although no replication sample was available for these. All associated loci explained 2.9%, 2.5%, and 3.1% of variation in systolic, diastolic, and pulse pressure, respectively, in GERA non-Hispanic whites. Using multiple blood pressure measurements in GERA doubled the variance explained. A normalized risk score was associated with time to onset of hypertension (hazards ratio = 1.18, P = 8.2 × 10-45). Expression quantitative trait locus analysis of blood pressure loci showed enrichment in aorta and tibial artery.

PMID:
27841878
PMCID:
PMC5370207
DOI:
10.1038/ng.3715
[Indexed for MEDLINE]
Free PMC Article

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