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Dataset Information

Genetic overlap and causal inferences between kidney function and cerebrovascular disease.


ABSTRACT:

Objective

Leveraging large-scale genetic data, we aimed to identify shared pathogenic mechanisms and causal relationships between impaired kidney function and cerebrovascular disease phenotypes.

Methods

We used summary statistics from genome-wide association studies (GWAS) of kidney function traits (chronic kidney disease diagnosis, estimated glomerular filtration rate [eGFR], and urinary albumin-to-creatinine ratio [UACR]) and cerebrovascular disease phenotypes (ischemic stroke and its subtypes, intracerebral hemorrhage [ICH], and white matter hyperintensities [WMH] on brain MRI). We (1) tested the genetic overlap between them with polygenic risk scores (PRS), (2) searched for common pleiotropic loci with pairwise GWAS analyses, and (3) explored causal associations by emplo

SUBMITTER: Marini S 

PROVIDER: S-EPMC7455337 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature