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 journalArticlepeer-review

Harvard

The UK Biobank Cardio-metabolic Traits Consortium Blood Pressure Working Group, Keavney, B & Tomaszewski, M 2017, 'Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk', Nature Genetics, vol. 49, pp. 403-415. https://doi.org/10.1038/ng.3768

APA

Vancouver

Author

The UK Biobank Cardio-metabolic Traits Consortium Blood Pressure Working Group ; Keavney, Bernard ; Tomaszewski, Maciej. / Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. In: Nature Genetics. 2017 ; Vol. 49. pp. 403-415.

Bibtex

@article{4c1617b028cc4168bb51995a36c18dc7,
title = "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. 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.",
author = "{The UK Biobank Cardio-metabolic Traits Consortium Blood Pressure Working Group} and Bernard Keavney and Maciej Tomaszewski",
year = "2017",
doi = "10.1038/ng.3768",
language = "English",
volume = "49",
pages = "403--415",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "Springer Nature",

}

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 -