Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular riskCitation formats
Standard
Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. / The UK Biobank Cardio-metabolic Traits Consortium Blood Pressure Working Group ; Keavney, Bernard; Tomaszewski, Maciej.
In: Nature Genetics, Vol. 49, 2017, p. 403-415.Research output: Contribution to journal › Article › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk
AU - The UK Biobank Cardio-metabolic Traits Consortium Blood Pressure Working Group
AU - Keavney, Bernard
AU - Tomaszewski, Maciej
PY - 2017
Y1 - 2017
N2 - 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. Combined 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.
AB - 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. Combined 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.
U2 - 10.1038/ng.3768
DO - 10.1038/ng.3768
M3 - Article
VL - 49
SP - 403
EP - 415
JO - Nature Genetics
JF - Nature Genetics
SN - 1061-4036
ER -