Unknown

Dataset Information

Assessing the causal effect of genetically predicted metabolites and metabolic pathways on stroke.


ABSTRACT:

Background

Stroke is a common neurological disorder that disproportionately affects middle-aged and elderly individuals, leading to significant disability and mortality. Recently, human blood metabolites have been discovered to be useful in unraveling the underlying biological mechanisms of neurological disorders. Therefore, we aimed to evaluate the causal relationship between human blood metabolites and susceptibility to stroke.

Methods

Summary data from genome-wide association studies (GWASs) of serum metabolites and stroke and its subtypes were obtained separately. A total of 486 serum metabolites were used as the exposure. Simultaneously, 11 different stroke phenotypes were set as the outcomes, including any stroke (AS), any ischemic stroke (AIS), large artery stroke (LA

SUBMITTER: Zhang T 

PROVIDER: S-EPMC10655369 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature