Skip to main navigation Skip to search Skip to main content

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

  • Thomas J. Hoffmann
  • , Georg B. Ehret
  • , Priyanka Nandakumar
  • , Dilrini Ranatunga
  • , Catherine Schaefer
  • , Pui Yan Kwok
  • , Carlos Iribarren
  • , Aravinda Chakravarti
  • , Neil Risch

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)54-64
Number of pages11
JournalNature genetics
Volume49
Issue number1
DOIs
StatePublished - Jan 1 2017

ASJC Scopus subject areas

  • Genetics

Fingerprint

Dive into the research topics of 'Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation'. Together they form a unique fingerprint.

Cite this