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Colocalization and discordance between plasma and brain protein quantitative trait loci
Yanzhen Cheng1, Wenmin Zhang2, Tianyuan Lu1,3,4,5,6
1Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Biorxiv : the Preprint Server for Biology
|May 18, 2026
Summary
Protein quantitative trait loci (pQTLs) studies reveal genetic links to complex traits. Comparing plasma and brain tissue pQTLs shows tissue-specific regulation is crucial for interpreting protein associations and identifying therapeutic targets.
Area of Science:
- Genetics
- Biomarker Discovery
- Systems Biology
Background:
- Protein quantitative trait loci (pQTLs) studies link genetic variants to protein levels, aiding complex trait interpretation.
- Plasma-based pQTLs are accessible but may not reflect disease-relevant tissue regulation.
- Understanding tissue specificity is key for accurate biomarker and therapeutic target identification.
Purpose of the Study:
- To assess colocalization and discordance between plasma and dorsal prefrontal cortex cis-pQTLs.
- To investigate the implications of tissue-specific regulation for downstream genetic analyses.
- To compare Mendelian randomization (MR) analyses using instruments from different tissue contexts.
Main Methods:
- Utilized data from four large-scale studies to analyze cis-pQTLs in plasma and dorsal prefrontal cortex.
- Characterized tissue-specific gene expression using Genotype-Tissue Expression (GTEx) project data.
- Performed Mendelian randomization (MR) analyses with neuroticism as the outcome.
Main Results:
- At most 80% of cis-pQTLs showed evidence of colocalization between plasma and brain tissue.
- Approximately 20% of colocalized loci exhibited opposite genetic effect directions.
- Proteins with colocalized pQTLs showed higher expression in systemic/immune tissues; others showed higher brain expression.
- MR analyses identified 13 proteins associated with neuroticism, with 6 showing opposing effects between plasma and brain.
Conclusions:
- Circulating pQTLs are informative for systemic and immune proteins but may miss tissue-specific regulation.
- Incorporating tissue-specific data refines interpretation of protein-trait associations.
- Considering multiple tissue contexts improves prioritization of candidate biomarkers and therapeutic targets.