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Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci
- Source :
- Nature Genetics, Vol. 48, No 10 (2016) pp. 1162-1170, Nature Genetics, 48(10), 1162-1170. Nature Publishing Group
- Publication Year :
- 2016
- Publisher :
- Nature Publishing Group, 2016.
-
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.
- Subjects :
- 0301 basic medicine
Blood Pressure/genetics
Genotype
Genome-wide association study
Blood Pressure
030204 cardiovascular system & hematology
Biology
Polymorphism, Single Nucleotide
Article
03 medical and health sciences
0302 clinical medicine
Genetic variation
Genetics
Missense mutation
Humans
Exome
Polymorphism
Gene
Oligonucleotide Array Sequence Analysis
ddc:616
Genome
Genome, Human
Genetic Variation
Single Nucleotide
030104 developmental biology
Blood pressure
Hypertension
Human genome
Hypertension/genetics
Human
Genome-Wide Association Study
Subjects
Details
- ISSN :
- 15461718 and 10614036
- Volume :
- 48
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Nature Genetics
- Accession number :
- edsair.doi.dedup.....0c1bd925404435c279122f73ed6f9006