Association of Established Blood Pressure Loci With 10-Year Change in Blood Pressure and Their Ability to Predict Incident Hypertension.


Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
18 08 2020
Historique:
pubmed: 18 8 2020
medline: 10 3 2021
entrez: 18 8 2020
Statut: ppublish

Résumé

Background Genome-wide association studies have identified >1000 genetic variants cross-sectionally associated with blood pressure variation and prevalent hypertension. These discoveries might aid the early identification of subpopulations at risk of developing hypertension or provide targets for drug development, amongst other applications. The aim of the present study was to analyze the association of blood pressure-associated variants with long-term changes (10 years) in blood pressure and also to assess their ability to predict hypertension incidence compared with traditional risk variables in a Swedish population. Methods and Results We constructed 6 genetic risk scores (GRSs) by summing the dosage of the effect allele at each locus of genetic variants previously associated with blood pressure traits (systolic blood pressure GRS (GRS

Identifiants

pubmed: 32805198
doi: 10.1161/JAHA.119.014513
pmc: PMC7660819
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e014513

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Auteurs

Alaitz Poveda (A)

Genetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.

Naeimeh Atabaki-Pasdar (N)

Genetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.

Shafqat Ahmad (S)

Preventive Medicine Division Brigham and Women's HospitalHarvard Medical School Boston MA.
Department of Medical Sciences Molecular Epidemiology Uppsala University Uppsala Sweden.

Göran Hallmans (G)

Section for Nutritional Research Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.

Frida Renström (F)

Genetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.
Section for Nutritional Research Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.
Division of Endocrinology and Diabetes Cantonal Hospital St. Gallen St. Gallen Switzerland.

Paul W Franks (PW)

Genetic and Molecular Epidemiology Unit Department of Clinical Sciences Lund University Diabetes Centre Lund University Malmö Sweden.
Section for Nutritional Research Department of Public Health and Clinical Medicine Umeå University Umeå Sweden.
Department of Nutrition Harvard Chan School of Public Health Boston MA.

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