UNIGE document Scientific Article
previous document  unige:127748  next document
add to browser collection

Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

Liu, Chunyu
Kraja, Aldi T
Smith, Jennifer A
Brody, Jennifer A
Franceschini, Nora
Newton-Cheh, Christopher
Levy, Daniel
show hidden authors show all authors [1 - 9]
Published in Nature Genetics. 2016, vol. 48, no. 10, p. 1162-1170
Abstract Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure-associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein-protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure-associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
Keywords Blood Pressure/geneticsExomeGenetic VariationGenomeHumanGenome-Wide Association StudyGenotypeHumansHypertension/geneticsOligonucleotide Array Sequence AnalysisPolymorphismSingle Nucleotide
PMID: 27618448
Full text
Article (Published version) (935 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Other version: https://www.nature.com/articles/ng.3660
Research group Traits génétiques complexes (901)
(ISO format)
LIU, Chunyu et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. In: Nature Genetics, 2016, vol. 48, n° 10, p. 1162-1170. doi: 10.1038/ng.3660 https://archive-ouverte.unige.ch/unige:127748

139 hits

0 download


Deposited on : 2019-12-10

Export document
Format :
Citation style :