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Nature Research, Nature Genetics, 10(48), p. 1162-1170, 2016

DOI: 10.1038/ng.3660



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

Journal article published in 2016 by Cornelia M. van Duijn, W. (Wei) Zhao, A. (Aldi) T. Kraja, C. (Chunyu) Liu, Jennifer A. (Jennifer A) Smith ORCID, J. (Jennifer) A. Brody, Joshua C. (Joshua) Bis, Alanna C. (Alanna) Morrison, Kraja At, Lisa W. (Lisa) Martin, Y.-D. (Y.) I. Chen, F. (Fotios) Drenos, James P. (James P.) Cook, N. (Nora) Franceschini, Smith Ja and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO


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.