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Dataset Information

Associations of Circulating Biomarkers with Disease Risks: a Two-Sample Mendelian Randomization Study.


ABSTRACT:

Background

Circulating biomarkers play a pivotal role in personalized medicine, offering potential for disease screening, prevention, and treatment. Despite established associations between numerous biomarkers and diseases, elucidating their causal relationships is challenging. Mendelian Randomization (MR) can address this issue by employing genetic instruments to discern causal links. Additionally, using multiple MR methods with overlapping results enhances the reliability of discovered relationships.

Methods

Here we report an MR study using multiple methods, including inverse variance weighted, simple mode, weighted mode, weighted median, and MR Egger. We use the MR-base resource (v0.5.6)1 to evaluate causal relationships between 212 circulating biomarkers (cura

SUBMITTER: Elmas A 

PROVIDER: S-EPMC11245069 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature