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Dataset Information

Associations between genetically predicted plasma protein levels and Alzheimer's disease risk: a study using genetic prediction models.


ABSTRACT:

Background

Specific peripheral proteins have been implicated to play an important role in the development of Alzheimer's disease (AD). However, the roles of additional novel protein biomarkers in AD etiology remains elusive. The availability of large-scale AD GWAS and plasma proteomic data provide the resources needed for the identification of causally relevant circulating proteins that may serve as risk factors for AD and potential therapeutic targets.

Methods

We established and validated genetic prediction models for protein levels in plasma as instruments to investigate the associations between genetically predicted protein levels and AD risk. We studied 71,880 (proxy) cases and 383,378 (proxy) controls of European descent.

Results

We identified 69 proteins with ge

SUBMITTER: Zhu J 

PROVIDER: S-EPMC10782590 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature