Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk

Abstract

Elevated blood pressure is the leading heritable risk factor for cardiovascular disease worldwide. We report genetic association of blood pressure (systolic, diastolic, pulse pressure) among UK Biobank participants of European ancestry with independent replication in other cohorts, and robust validation of 107 independent loci. We also identify new independent variants at 11 previously reported blood pressure loci. In combination with results from a range of in silico functional analyses and wet bench experiments, our findings highlight new biological pathways for blood pressure regulation enriched for genes expressed in vascular tissues and identify potential therapeutic targets for hypertension. Results from genetic risk score models raise the possibility of a precision medicine approach through early lifestyle intervention to offset the impact of blood pressure-raising genetic variants on future cardiovascular disease risk.

Keywords

BiobankBlood pressureBiologyGenome-wide association studyGenetic associationDiseaseGeneticsBioinformaticsRisk factorComputational biologyInternal medicineSingle-nucleotide polymorphismGeneMedicineGenotypeEndocrinology

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Publication Info

Year: 2017
Type: erratum
Volume: 49
Issue: 3
Pages: 403-415
Citations: 572
Access: Closed

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APA Style

                            
                                
                                    Helen R. Warren, 
                                
                                    Εvangelos Εvangelou, 
                                
                                    Claudia P. Cabrera
                                
                                et al.
                            
                            (2017). 
                            Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. 
                            Nature Genetics
                            , 49
                            (3)
                            , 403-415.
                            https://doi.org/10.1038/ng.3768
                        

Identifiers

DOI: 10.1038/ng.3768