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Dataset Information

Polygenic scores for obstructive sleep apnoea reveal pathways contributing to cardiovascular disease.


ABSTRACT:

Background

Obstructive sleep apnoea (OSA) is a common chronic condition, with obesity its strongest risk factor. Polygenic scores (PGSs) summarise the genetic liability to phenotype and can provide insights into relationships between phenotypes. Recently, large datasets that include genetic data and OSA status became available, providing an opportunity to utilise PGS approaches to study the genetic relationship between OSA and other phenotypes, while differentiating OSA-specific from obesity-specific genetic factors.

Methods

Using race/ethnic diverse samples from over 1.2 million individuals from the Million Veteran Program, FinnGen, TOPMed, All of Us (AoU), Geisinger's MyCode, MGB Biobank, and the Human Phenotype Project, we developed and assessed PGSs for OSA, both without

SUBMITTER: Kurniansyah N 

PROVIDER: S-EPMC12171572 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature