Multi-Trait Genetic Analysis Reveals Clinically Interpretable Hypertension Subtypes.

ABSTRACT:

Background

Hypertension comprises a heterogeneous range of phenotypes. We asked whether underlying genetic structure could explain a part of this heterogeneity.

Methods

Our study sample comprised N=198 148 FinnGen participants (56% women, mean age 58 years) and N=21 168 well-phenotyped FINRISK participants (53% women, mean age 50 years). First, we identified genetic hypertension components with an unsupervised Bayesian non-negative matrix factorization algorithm using public genome-wide association data for 144 genetic hypertension variants and 16 clinical traits. For these components, we computed their (1) cross-sectional associations with clinical traits in FINRISK using linear regression and (2) longitudinal associations with incident adverse outcomes in FinnGen using Cox

SUBMITTER: Vaura F 

PROVIDER: S-EPMC9558213 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature