Exploratory experiment designed to discover new patterns targeting DACT1, DAAM1, KCNJ3 in human genetic data - summary statistics. Primary outcome: causal relationships between variants, expression, and biomarkers
Summary-based Mendelian randomization (SMR) analysis to establish causal relationships between genetic variants, gene expression, and biomarker levels. This analysis used GWAS summary statistics integrated with brain quantitative trait loci (QTL) data to identify putative causal mediators. The SMR approach helps distinguish between direct causal effects and linkage disequilibrium confounding, providing stronger evidence for biological causality.
SMR analysis using GWAS summary statistics and brain QTL data, colocalization analysis
Identification of causal mediators linking genetic variation to biomarker expression through gene regulation
significant SMR associations with evidence of colocalization
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